Initial commit: OpenAI Codex reverse proxy with Node.js + Express
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8
.env.exa
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.env.exa
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# 服务器端口
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PORT=3000
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# Token 文件路径
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TOKEN_FILE=./token.json
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# 模型列表文件路径
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MODELS_FILE=./models.json
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.gitignore
vendored
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.gitignore
vendored
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node_modules/
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.env
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token.json
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*.log
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.DS_Store
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284
README.md
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284
README.md
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# GPT2API Node
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基于 Node.js + Express 的 OpenAI Codex 反向代理服务,支持 JSON 文件导入 token,自动刷新 token,提供 OpenAI 兼容的 API 接口。
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## 功能特性
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- ✅ OpenAI Codex 反向代理
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- ✅ 自动 Token 刷新机制
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- ✅ 支持流式和非流式响应
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- ✅ OpenAI API 兼容接口
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- ✅ JSON 文件导入 Token
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- ✅ 简单易用的配置
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## 快速开始
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### 1. 安装依赖
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```bash
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cd gpt2api-node
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npm install
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```
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### 2. 配置 Token
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从 CLIProxyAPI 或其他来源获取 token 文件,复制到项目根目录并命名为 `token.json`:
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```json
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{
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"id_token": "your_id_token_here",
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"access_token": "your_access_token_here",
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"refresh_token": "your_refresh_token_here",
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"account_id": "your_account_id",
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"email": "your_email@example.com",
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"type": "codex",
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"expired": "2026-12-31T23:59:59.000Z",
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"last_refresh": "2026-01-01T00:00:00.000Z"
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}
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```
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### 3. 配置环境变量(可选)
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复制 `.env.example` 为 `.env` 并修改配置:
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```bash
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cp .env.example .env
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```
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```env
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PORT=3000
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TOKEN_FILE=./token.json
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```
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### 4. 启动服务
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```bash
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npm start
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```
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开发模式(自动重启):
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```bash
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npm run dev
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```
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## API 接口
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### 聊天完成接口
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**端点**: `POST /v1/chat/completions`
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**请求示例**:
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```bash
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curl http://localhost:3000/v1/chat/completions \
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-H "Content-Type: application/json" \
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-d '{
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"model": "gpt-5.3-codex",
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"messages": [
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{"role": "user", "content": "Hello!"}
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],
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"stream": false
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}'
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```
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**流式请求**:
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```bash
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curl http://localhost:3000/v1/chat/completions \
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-H "Content-Type: application/json" \
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-d '{
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"model": "gpt-5.3-codex",
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"messages": [
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{"role": "user", "content": "Hello!"}
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],
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"stream": true
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}'
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```
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### 模型列表
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**端点**: `GET /v1/models`
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```bash
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curl http://localhost:3000/v1/models
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```
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### 健康检查
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**端点**: `GET /health`
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```bash
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curl http://localhost:3000/health
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```
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## 支持的模型
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- `gpt-5.3-codex` - GPT 5.3 Codex(最新)
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- `gpt-5.3-codex-spark` - GPT 5.3 Codex Spark(超快速编码模型)
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- `gpt-5.2` - GPT 5.2
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- `gpt-5.2-codex` - GPT 5.2 Codex
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- `gpt-5.1` - GPT 5.1
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- `gpt-5.1-codex` - GPT 5.1 Codex
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- `gpt-5.1-codex-mini` - GPT 5.1 Codex Mini(更快更便宜)
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- `gpt-5.1-codex-max` - GPT 5.1 Codex Max
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- `gpt-5` - GPT 5
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- `gpt-5-codex` - GPT 5 Codex
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- `gpt-5-codex-mini` - GPT 5 Codex Mini
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## 在 Cherry Studio 中使用
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Cherry Studio 是一个支持多种 AI 服务的桌面客户端。配置步骤:
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### 1. 启动代理服务
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```bash
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cd gpt2api-node
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npm start
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```
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### 2. 在 Cherry Studio 中配置
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1. 打开 Cherry Studio
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2. 进入 **设置** → **模型提供商**
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3. 添加新的 **OpenAI 兼容** 提供商
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4. 填写配置:
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- **名称**: GPT2API Node(或自定义名称)
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- **API 地址**: `http://localhost:3000/v1`
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- **API Key**: 随意填写(如 `dummy`),不会被验证
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- **模型**: 选择或手动输入模型名称(如 `gpt-5.3-codex`)
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### 3. 开始使用
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配置完成后,在 Cherry Studio 中选择刚才添加的提供商和模型,即可开始对话。
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### 可用模型列表
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在 Cherry Studio 中可以使用以下任意模型:
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- `gpt-5.3-codex` - 推荐,最新版本
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- `gpt-5.3-codex-spark` - 超快速编码
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- `gpt-5.2-codex` - 稳定版本
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- `gpt-5.1-codex` - 较旧版本
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- 其他 GPT-5 系列模型
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## 使用示例
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### Python
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```python
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import openai
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client = openai.OpenAI(
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base_url="http://localhost:3000/v1",
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api_key="dummy" # 不需要真实的 API key
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)
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response = client.chat.completions.create(
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model="gpt-5.3-codex",
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messages=[
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{"role": "user", "content": "Hello!"}
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]
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)
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print(response.choices[0].message.content)
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```
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### JavaScript/Node.js
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```javascript
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import OpenAI from 'openai';
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const client = new OpenAI({
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baseURL: 'http://localhost:3000/v1',
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apiKey: 'dummy'
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});
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const response = await client.chat.completions.create({
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model: 'gpt-5.3-codex',
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messages: [
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{ role: 'user', content: 'Hello!' }
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]
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});
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console.log(response.choices[0].message.content);
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```
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### cURL
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```bash
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curl http://localhost:3000/v1/chat/completions \
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-H "Content-Type: application/json" \
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-d '{
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"model": "gpt-5.3-codex",
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"messages": [
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "What is the capital of France?"}
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]
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}'
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```
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## Token 管理
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### 自动刷新
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服务会自动检测 token 是否过期(提前 5 分钟),并在需要时自动刷新。刷新后的 token 会自动保存到文件中。
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### 手动导入
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如果你有从 CLIProxyAPI 导出的 token 文件,直接复制为 `token.json` 即可使用。
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### Token 文件格式
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Token 文件必须包含以下字段:
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- `access_token`: 访问令牌
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- `refresh_token`: 刷新令牌
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- `id_token`: ID 令牌(可选)
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- `account_id`: 账户 ID(可选)
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- `email`: 邮箱(可选)
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- `expired`: 过期时间(ISO 8601 格式)
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- `type`: 类型(固定为 "codex")
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## 项目结构
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```
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gpt2api-node/
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├── src/
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│ ├── index.js # 主服务器文件
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│ ├── tokenManager.js # Token 管理模块
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│ └── proxyHandler.js # 代理处理模块
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├── package.json
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├── .env.example
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├── token.example.json
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├── .gitignore
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└── README.md
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```
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## 注意事项
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1. **Token 安全**: 请妥善保管 `token.json` 文件,不要提交到版本控制系统
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2. **网络要求**: 需要能够访问 `chatgpt.com` 和 `auth.openai.com`
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3. **Token 有效期**: Token 会自动刷新,但如果 refresh_token 失效,需要重新获取
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4. **并发限制**: 根据 OpenAI 账户限制,注意控制并发请求数量
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## 故障排除
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### Token 加载失败
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确保 `token.json` 文件存在且格式正确,参考 `token.example.json`。
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### Token 刷新失败
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可能是 refresh_token 已过期,需要重新从 CLIProxyAPI 获取新的 token。
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### 代理请求失败
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检查网络连接,确保能够访问 OpenAI 服务。
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## 许可证
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MIT License
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## 相关项目
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- [CLIProxyAPI](https://github.com/router-for-me/CLIProxyAPI) - 原始 Go 语言实现
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68
models.json
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68
models.json
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[
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{
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"id": "gpt-5.3-codex",
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"object": "model",
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"created": 1770307200,
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"owned_by": "openai"
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},
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{
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"id": "gpt-5.3-codex-spark",
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"object": "model",
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"created": 1770912000,
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"owned_by": "openai"
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},
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{
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"id": "gpt-5.2",
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"object": "model",
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"created": 1765440000,
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"owned_by": "openai"
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},
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{
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"id": "gpt-5.2-codex",
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"object": "model",
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"created": 1765440000,
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"owned_by": "openai"
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},
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{
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"id": "gpt-5.1",
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"object": "model",
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"created": 1762905600,
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"owned_by": "openai"
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},
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{
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"id": "gpt-5.1-codex",
|
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"object": "model",
|
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"created": 1762905600,
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"owned_by": "openai"
|
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},
|
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{
|
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"id": "gpt-5.1-codex-mini",
|
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"object": "model",
|
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"created": 1762905600,
|
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"owned_by": "openai"
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},
|
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{
|
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"id": "gpt-5.1-codex-max",
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"object": "model",
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"created": 1763424000,
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"owned_by": "openai"
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},
|
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{
|
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"id": "gpt-5",
|
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"object": "model",
|
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"created": 1754524800,
|
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"owned_by": "openai"
|
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},
|
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{
|
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"id": "gpt-5-codex",
|
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"object": "model",
|
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"created": 1757894400,
|
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"owned_by": "openai"
|
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},
|
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{
|
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"id": "gpt-5-codex-mini",
|
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"object": "model",
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"created": 1762473600,
|
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"owned_by": "openai"
|
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}
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]
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952
package-lock.json
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952
package-lock.json
generated
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{
|
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"name": "gpt2api-node",
|
||||
"version": "1.0.0",
|
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"lockfileVersion": 3,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"name": "gpt2api-node",
|
||||
"version": "1.0.0",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"axios": "^1.6.0",
|
||||
"dotenv": "^16.3.1",
|
||||
"express": "^4.18.2"
|
||||
}
|
||||
},
|
||||
"node_modules/accepts": {
|
||||
"version": "1.3.8",
|
||||
"resolved": "https://registry.npmmirror.com/accepts/-/accepts-1.3.8.tgz",
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||||
"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",
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||||
"license": "MIT"
|
||||
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||||
"node_modules/asynckit": {
|
||||
"version": "0.4.0",
|
||||
"resolved": "https://registry.npmmirror.com/asynckit/-/asynckit-0.4.0.tgz",
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||||
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|
||||
"license": "MIT"
|
||||
},
|
||||
"node_modules/axios": {
|
||||
"version": "1.13.5",
|
||||
"resolved": "https://registry.npmmirror.com/axios/-/axios-1.13.5.tgz",
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||||
"integrity": "sha512-cz4ur7Vb0xS4/KUN0tPWe44eqxrIu31me+fbang3ijiNscE129POzipJJA6zniq2C/Z6sJCjMimjS8Lc/GAs8Q==",
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||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"follow-redirects": "^1.15.11",
|
||||
"form-data": "^4.0.5",
|
||||
"proxy-from-env": "^1.1.0"
|
||||
}
|
||||
},
|
||||
"node_modules/body-parser": {
|
||||
"version": "1.20.4",
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||||
"resolved": "https://registry.npmmirror.com/body-parser/-/body-parser-1.20.4.tgz",
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||||
"license": "MIT",
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||||
"dependencies": {
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||||
"bytes": "~3.1.2",
|
||||
"content-type": "~1.0.5",
|
||||
"debug": "2.6.9",
|
||||
"depd": "2.0.0",
|
||||
"destroy": "~1.2.0",
|
||||
"http-errors": "~2.0.1",
|
||||
"iconv-lite": "~0.4.24",
|
||||
"on-finished": "~2.4.1",
|
||||
"qs": "~6.14.0",
|
||||
"raw-body": "~2.5.3",
|
||||
"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",
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||||
"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",
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|
||||
"mime": "1.6.0",
|
||||
"ms": "2.1.3",
|
||||
"on-finished": "~2.4.1",
|
||||
"range-parser": "~1.2.1",
|
||||
"statuses": "~2.0.2"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">= 0.8.0"
|
||||
}
|
||||
},
|
||||
"node_modules/send/node_modules/ms": {
|
||||
"version": "2.1.3",
|
||||
"resolved": "https://registry.npmmirror.com/ms/-/ms-2.1.3.tgz",
|
||||
"integrity": "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA==",
|
||||
"license": "MIT"
|
||||
},
|
||||
"node_modules/serve-static": {
|
||||
"version": "1.16.3",
|
||||
"resolved": "https://registry.npmmirror.com/serve-static/-/serve-static-1.16.3.tgz",
|
||||
"integrity": "sha512-x0RTqQel6g5SY7Lg6ZreMmsOzncHFU7nhnRWkKgWuMTu5NN0DR5oruckMqRvacAN9d5w6ARnRBXl9xhDCgfMeA==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"encodeurl": "~2.0.0",
|
||||
"escape-html": "~1.0.3",
|
||||
"parseurl": "~1.3.3",
|
||||
"send": "~0.19.1"
|
||||
},
|
||||
"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",
|
||||
"integrity": "sha512-FCLHtRD/gnpCiCHEiJLOwdmFP+wzCmDEkc9y7NsYxeF4u7Btsn1ZuwgwJGxImImHicJArLP4R0yX4c2KCrMrTA==",
|
||||
"license": "MIT",
|
||||
"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",
|
||||
"integrity": "sha512-WPS/HvHQTYnHisLo9McqBHOJk2FkHO/tlpvldyrnem4aeQp4hai3gythswg6p01oSoTl58rcpiFAjF2br2Ak2A==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"call-bound": "^1.0.2",
|
||||
"es-errors": "^1.3.0",
|
||||
"get-intrinsic": "^1.2.5",
|
||||
"object-inspect": "^1.13.3",
|
||||
"side-channel-map": "^1.0.1"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">= 0.4"
|
||||
},
|
||||
"funding": {
|
||||
"url": "https://github.com/sponsors/ljharb"
|
||||
}
|
||||
},
|
||||
"node_modules/statuses": {
|
||||
"version": "2.0.2",
|
||||
"resolved": "https://registry.npmmirror.com/statuses/-/statuses-2.0.2.tgz",
|
||||
"integrity": "sha512-DvEy55V3DB7uknRo+4iOGT5fP1slR8wQohVdknigZPMpMstaKJQWhwiYBACJE3Ul2pTnATihhBYnRhZQHGBiRw==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">= 0.8"
|
||||
}
|
||||
},
|
||||
"node_modules/toidentifier": {
|
||||
"version": "1.0.1",
|
||||
"resolved": "https://registry.npmmirror.com/toidentifier/-/toidentifier-1.0.1.tgz",
|
||||
"integrity": "sha512-o5sSPKEkg/DIQNmH43V0/uerLrpzVedkUh8tGNvaeXpfpuwjKenlSox/2O/BTlZUtEe+JG7s5YhEz608PlAHRA==",
|
||||
"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",
|
||||
"integrity": "sha512-pjy2bYhSsufwWlKwPc+l3cN7+wuJlK6uz0YdJEOlQDbl6jo/YlPi4mb8agUkVC8BF7V8NuzeyPNqRksA3hztKQ==",
|
||||
"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"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
19
package.json
Normal file
19
package.json
Normal file
@@ -0,0 +1,19 @@
|
||||
{
|
||||
"name": "gpt2api-node",
|
||||
"version": "1.0.0",
|
||||
"description": "OpenAI Codex reverse proxy with token management",
|
||||
"main": "src/index.js",
|
||||
"type": "module",
|
||||
"scripts": {
|
||||
"start": "node src/index.js",
|
||||
"dev": "node --watch src/index.js"
|
||||
},
|
||||
"keywords": ["openai", "codex", "proxy", "api"],
|
||||
"author": "",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"express": "^4.18.2",
|
||||
"axios": "^1.6.0",
|
||||
"dotenv": "^16.3.1"
|
||||
}
|
||||
}
|
||||
92
src/index.js
Normal file
92
src/index.js
Normal file
@@ -0,0 +1,92 @@
|
||||
import express from 'express';
|
||||
import dotenv from 'dotenv';
|
||||
import fs from 'fs/promises';
|
||||
import TokenManager from './tokenManager.js';
|
||||
import ProxyHandler from './proxyHandler.js';
|
||||
|
||||
dotenv.config();
|
||||
|
||||
const app = express();
|
||||
const PORT = process.env.PORT || 3000;
|
||||
const TOKEN_FILE = process.env.TOKEN_FILE || './token.json';
|
||||
const MODELS_FILE = process.env.MODELS_FILE || './models.json';
|
||||
|
||||
// 中间件
|
||||
app.use(express.json());
|
||||
|
||||
// 初始化 Token 管理器和代理处理器
|
||||
const tokenManager = new TokenManager(TOKEN_FILE);
|
||||
const proxyHandler = new ProxyHandler(tokenManager);
|
||||
|
||||
// 加载模型列表
|
||||
let modelsList = [];
|
||||
try {
|
||||
const modelsData = await fs.readFile(MODELS_FILE, 'utf-8');
|
||||
modelsList = JSON.parse(modelsData);
|
||||
console.log(`✓ 加载了 ${modelsList.length} 个模型`);
|
||||
} catch (err) {
|
||||
console.warn('⚠ 无法加载模型列表,使用默认列表');
|
||||
modelsList = [
|
||||
{ id: 'gpt-5.3-codex', object: 'model', created: 1770307200, owned_by: 'openai' },
|
||||
{ id: 'gpt-5.2-codex', object: 'model', created: 1765440000, owned_by: 'openai' }
|
||||
];
|
||||
}
|
||||
|
||||
// 启动时加载 token
|
||||
await tokenManager.loadToken().catch(err => {
|
||||
console.error('❌ 启动失败:', err.message);
|
||||
console.error('请确保 token.json 文件存在且格式正确');
|
||||
process.exit(1);
|
||||
});
|
||||
|
||||
// 健康检查
|
||||
app.get('/health', (req, res) => {
|
||||
res.json({
|
||||
status: 'ok',
|
||||
token: tokenManager.getTokenInfo()
|
||||
});
|
||||
});
|
||||
|
||||
// OpenAI 兼容的聊天完成接口
|
||||
app.post('/v1/chat/completions', async (req, res) => {
|
||||
const isStream = req.body.stream === true;
|
||||
|
||||
if (isStream) {
|
||||
await proxyHandler.handleStreamRequest(req, res);
|
||||
} else {
|
||||
await proxyHandler.handleNonStreamRequest(req, res);
|
||||
}
|
||||
});
|
||||
|
||||
// 模型列表接口
|
||||
app.get('/v1/models', (req, res) => {
|
||||
res.json({
|
||||
object: 'list',
|
||||
data: modelsList
|
||||
});
|
||||
});
|
||||
|
||||
// 错误处理
|
||||
app.use((err, req, res, next) => {
|
||||
console.error('服务器错误:', err);
|
||||
res.status(500).json({
|
||||
error: {
|
||||
message: err.message || '内部服务器错误',
|
||||
type: 'server_error'
|
||||
}
|
||||
});
|
||||
});
|
||||
|
||||
// 启动服务器
|
||||
app.listen(PORT, () => {
|
||||
console.log('=================================');
|
||||
console.log('🚀 GPT2API Node 服务已启动');
|
||||
console.log(`📡 监听端口: ${PORT}`);
|
||||
console.log(`👤 账户: ${tokenManager.getTokenInfo().email || tokenManager.getTokenInfo().account_id}`);
|
||||
console.log(`⏰ Token 过期时间: ${tokenManager.getTokenInfo().expired}`);
|
||||
console.log('=================================');
|
||||
console.log(`\n接口地址:`);
|
||||
console.log(` - 聊天: POST http://localhost:${PORT}/v1/chat/completions`);
|
||||
console.log(` - 模型: GET http://localhost:${PORT}/v1/models`);
|
||||
console.log(` - 健康: GET http://localhost:${PORT}/health\n`);
|
||||
});
|
||||
423
src/proxyHandler.js
Normal file
423
src/proxyHandler.js
Normal file
@@ -0,0 +1,423 @@
|
||||
import axios from 'axios';
|
||||
|
||||
const CODEX_BASE_URL = 'https://chatgpt.com/backend-api/codex';
|
||||
const CODEX_CLIENT_VERSION = '0.101.0';
|
||||
const CODEX_USER_AGENT = 'codex_cli_rs/0.101.0 (Mac OS 26.0.1; arm64) Apple_Terminal/464';
|
||||
|
||||
/**
|
||||
* 代理处理器
|
||||
*/
|
||||
class ProxyHandler {
|
||||
constructor(tokenManager) {
|
||||
this.tokenManager = tokenManager;
|
||||
}
|
||||
|
||||
/**
|
||||
* 生成会话 ID
|
||||
*/
|
||||
generateSessionId() {
|
||||
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);
|
||||
});
|
||||
}
|
||||
|
||||
/**
|
||||
* 转换 OpenAI 格式请求到 Codex 格式
|
||||
*/
|
||||
transformRequest(openaiRequest) {
|
||||
const { model, messages, stream = true, stream_options, ...rest } = openaiRequest;
|
||||
|
||||
// 提取 system 消息作为 instructions
|
||||
let instructions = '';
|
||||
const userMessages = [];
|
||||
|
||||
for (const msg of messages) {
|
||||
if (msg.role === 'system') {
|
||||
// system 消息转为 instructions
|
||||
const content = Array.isArray(msg.content)
|
||||
? msg.content.map(c => c.text || c).join('\n')
|
||||
: msg.content;
|
||||
instructions += (instructions ? '\n' : '') + content;
|
||||
} else {
|
||||
// 其他消息保留
|
||||
userMessages.push(msg);
|
||||
}
|
||||
}
|
||||
|
||||
// 转换消息格式
|
||||
const input = userMessages.map(msg => {
|
||||
const contentType = msg.role === 'assistant' ? 'output_text' : 'input_text';
|
||||
|
||||
return {
|
||||
type: 'message',
|
||||
role: msg.role,
|
||||
content: Array.isArray(msg.content)
|
||||
? msg.content.map(c => {
|
||||
// 处理不同类型的内容
|
||||
if (c.type === 'text') {
|
||||
return { type: contentType, text: c.text || c };
|
||||
} else if (c.type === 'image_url') {
|
||||
// OpenAI 的 image_url 转换为 Codex 的 input_image
|
||||
return {
|
||||
type: 'input_image',
|
||||
image_url: c.image_url?.url || c.image_url
|
||||
};
|
||||
} else {
|
||||
return c;
|
||||
}
|
||||
})
|
||||
: [{ type: contentType, text: msg.content }]
|
||||
};
|
||||
});
|
||||
|
||||
// 移除 Codex 不支持的参数
|
||||
const codexRequest = {
|
||||
model: model || 'gpt-5.3-codex',
|
||||
input,
|
||||
instructions: instructions || '',
|
||||
stream,
|
||||
store: false // 必须设置为 false
|
||||
};
|
||||
|
||||
// 只保留 Codex 支持的参数
|
||||
if (rest.temperature !== undefined) codexRequest.temperature = rest.temperature;
|
||||
if (rest.max_tokens !== undefined) codexRequest.max_tokens = rest.max_tokens;
|
||||
if (rest.top_p !== undefined) codexRequest.top_p = rest.top_p;
|
||||
|
||||
return codexRequest;
|
||||
}
|
||||
|
||||
/**
|
||||
* 转换 Codex 响应到 OpenAI 格式
|
||||
*/
|
||||
transformResponse(codexResponse, model, isStream = false, state = {}) {
|
||||
if (isStream) {
|
||||
// 流式响应处理
|
||||
const line = codexResponse.toString().trim();
|
||||
|
||||
if (!line.startsWith('data:')) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const data = line.slice(5).trim();
|
||||
|
||||
if (data === '[DONE]') {
|
||||
return 'data: [DONE]\n\n';
|
||||
}
|
||||
|
||||
try {
|
||||
const parsed = JSON.parse(data);
|
||||
|
||||
// 保存响应 ID 和创建时间
|
||||
if (parsed.type === 'response.created') {
|
||||
state.responseId = parsed.response?.id;
|
||||
state.createdAt = parsed.response?.created_at || Math.floor(Date.now() / 1000);
|
||||
state.model = parsed.response?.model || model;
|
||||
return null;
|
||||
}
|
||||
|
||||
const responseId = state.responseId || 'chatcmpl-' + Date.now();
|
||||
const createdAt = state.createdAt || Math.floor(Date.now() / 1000);
|
||||
const modelName = state.model || model;
|
||||
|
||||
// 处理不同类型的事件 - 根据原项目的实现
|
||||
if (parsed.type === 'response.output_text.delta') {
|
||||
// 文本增量更新
|
||||
return `data: ${JSON.stringify({
|
||||
id: responseId,
|
||||
object: 'chat.completion.chunk',
|
||||
created: createdAt,
|
||||
model: modelName,
|
||||
choices: [{
|
||||
index: 0,
|
||||
delta: { role: 'assistant', content: parsed.delta || '' },
|
||||
finish_reason: null
|
||||
}]
|
||||
})}\n\n`;
|
||||
} else if (parsed.type === 'response.reasoning_summary_text.delta') {
|
||||
// 推理内容增量
|
||||
return `data: ${JSON.stringify({
|
||||
id: responseId,
|
||||
object: 'chat.completion.chunk',
|
||||
created: createdAt,
|
||||
model: modelName,
|
||||
choices: [{
|
||||
index: 0,
|
||||
delta: { role: 'assistant', reasoning_content: parsed.delta || '' },
|
||||
finish_reason: null
|
||||
}]
|
||||
})}\n\n`;
|
||||
} else if (parsed.type === 'response.completed') {
|
||||
// 提取使用信息
|
||||
const usage = parsed.response?.usage || {};
|
||||
return `data: ${JSON.stringify({
|
||||
id: parsed.response_id || 'chatcmpl-' + Date.now(),
|
||||
object: 'chat.completion.chunk',
|
||||
created: Math.floor(Date.now() / 1000),
|
||||
model: model,
|
||||
choices: [{
|
||||
index: 0,
|
||||
delta: {},
|
||||
finish_reason: 'stop'
|
||||
}],
|
||||
usage: {
|
||||
prompt_tokens: usage.input_tokens || 0,
|
||||
completion_tokens: usage.output_tokens || 0,
|
||||
total_tokens: usage.total_tokens || 0
|
||||
}
|
||||
})}\n\n`;
|
||||
}
|
||||
} catch (e) {
|
||||
// 忽略 JSON 解析错误,可能是不完整的数据
|
||||
return null;
|
||||
}
|
||||
|
||||
return null;
|
||||
} else {
|
||||
// 非流式响应处理
|
||||
try {
|
||||
const parsed = typeof codexResponse === 'string'
|
||||
? JSON.parse(codexResponse)
|
||||
: codexResponse;
|
||||
|
||||
const response = parsed.response || {};
|
||||
const output = response.output || [];
|
||||
|
||||
// 提取消息内容
|
||||
let content = '';
|
||||
for (const item of output) {
|
||||
if (item.type === 'message' && item.content) {
|
||||
for (const part of item.content) {
|
||||
if (part.type === 'output_text') {
|
||||
content += part.text || '';
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
const usage = response.usage || {};
|
||||
|
||||
return {
|
||||
id: response.id || 'chatcmpl-' + Date.now(),
|
||||
object: 'chat.completion',
|
||||
created: Math.floor(Date.now() / 1000),
|
||||
model: model,
|
||||
choices: [{
|
||||
index: 0,
|
||||
message: {
|
||||
role: 'assistant',
|
||||
content: content
|
||||
},
|
||||
finish_reason: 'stop'
|
||||
}],
|
||||
usage: {
|
||||
prompt_tokens: usage.input_tokens || 0,
|
||||
completion_tokens: usage.output_tokens || 0,
|
||||
total_tokens: usage.total_tokens || 0
|
||||
}
|
||||
};
|
||||
} catch (e) {
|
||||
throw new Error(`转换响应失败: ${e.message}`);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 处理流式请求
|
||||
*/
|
||||
async handleStreamRequest(req, res) {
|
||||
try {
|
||||
const openaiRequest = req.body;
|
||||
console.log('收到请求:', JSON.stringify(openaiRequest, null, 2));
|
||||
|
||||
const codexRequest = this.transformRequest(openaiRequest);
|
||||
console.log('转换后的 Codex 请求:', JSON.stringify(codexRequest, null, 2));
|
||||
|
||||
const accessToken = await this.tokenManager.getValidToken();
|
||||
|
||||
// 设置响应头
|
||||
res.setHeader('Content-Type', 'text/event-stream');
|
||||
res.setHeader('Cache-Control', 'no-cache');
|
||||
res.setHeader('Connection', 'keep-alive');
|
||||
|
||||
const response = await axios.post(
|
||||
`${CODEX_BASE_URL}/responses`,
|
||||
codexRequest,
|
||||
{
|
||||
headers: {
|
||||
'Authorization': `Bearer ${accessToken}`,
|
||||
'Content-Type': 'application/json',
|
||||
'User-Agent': CODEX_USER_AGENT,
|
||||
'Version': CODEX_CLIENT_VERSION,
|
||||
'Openai-Beta': 'responses=experimental',
|
||||
'Session_id': this.generateSessionId(),
|
||||
'Accept': 'text/event-stream'
|
||||
},
|
||||
responseType: 'stream',
|
||||
timeout: 300000 // 5 分钟超时
|
||||
}
|
||||
);
|
||||
|
||||
// 处理流式响应
|
||||
let buffer = '';
|
||||
const state = {}; // 用于保存响应 ID 和创建时间
|
||||
|
||||
response.data.on('data', (chunk) => {
|
||||
buffer += chunk.toString();
|
||||
const lines = buffer.split('\n');
|
||||
|
||||
// 保留最后一行(可能不完整)
|
||||
buffer = lines.pop() || '';
|
||||
|
||||
for (const line of lines) {
|
||||
if (line.trim()) {
|
||||
const transformed = this.transformResponse(line, openaiRequest.model, true, state);
|
||||
if (transformed) {
|
||||
res.write(transformed);
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
response.data.on('end', () => {
|
||||
// 处理缓冲区中剩余的数据
|
||||
if (buffer.trim()) {
|
||||
const transformed = this.transformResponse(buffer, openaiRequest.model, true, state);
|
||||
if (transformed) {
|
||||
res.write(transformed);
|
||||
}
|
||||
}
|
||||
res.write('data: [DONE]\n\n');
|
||||
res.end();
|
||||
});
|
||||
|
||||
response.data.on('error', (error) => {
|
||||
console.error('流式响应错误:', error.message);
|
||||
res.end();
|
||||
});
|
||||
|
||||
} catch (error) {
|
||||
console.error('代理请求失败:', error.message);
|
||||
if (error.response) {
|
||||
console.error('响应状态:', error.response.status);
|
||||
console.error('响应头:', error.response.headers);
|
||||
|
||||
// 尝试读取响应数据
|
||||
if (error.response.data) {
|
||||
if (typeof error.response.data === 'string') {
|
||||
console.error('响应数据:', error.response.data);
|
||||
} else if (error.response.data.on) {
|
||||
// 如果是流,尝试读取
|
||||
let data = '';
|
||||
error.response.data.on('data', chunk => {
|
||||
data += chunk.toString();
|
||||
});
|
||||
error.response.data.on('end', () => {
|
||||
console.error('响应数据:', data);
|
||||
});
|
||||
} else {
|
||||
try {
|
||||
console.error('响应数据:', JSON.stringify(error.response.data));
|
||||
} catch (e) {
|
||||
console.error('响应数据类型:', typeof error.response.data);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (!res.headersSent) {
|
||||
res.status(error.response?.status || 500).json({
|
||||
error: {
|
||||
message: error.response?.data?.error?.message || error.message,
|
||||
type: 'proxy_error',
|
||||
code: error.response?.status || 500
|
||||
}
|
||||
});
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 处理非流式请求
|
||||
*/
|
||||
async handleNonStreamRequest(req, res) {
|
||||
try {
|
||||
const openaiRequest = req.body;
|
||||
console.log('收到请求:', JSON.stringify(openaiRequest, null, 2));
|
||||
|
||||
const codexRequest = this.transformRequest({ ...openaiRequest, stream: false });
|
||||
console.log('转换后的 Codex 请求:', JSON.stringify(codexRequest, null, 2));
|
||||
|
||||
const accessToken = await this.tokenManager.getValidToken();
|
||||
|
||||
const response = await axios.post(
|
||||
`${CODEX_BASE_URL}/responses`,
|
||||
codexRequest,
|
||||
{
|
||||
headers: {
|
||||
'Authorization': `Bearer ${accessToken}`,
|
||||
'Content-Type': 'application/json',
|
||||
'User-Agent': CODEX_USER_AGENT,
|
||||
'Version': CODEX_CLIENT_VERSION,
|
||||
'Openai-Beta': 'responses=experimental',
|
||||
'Session_id': this.generateSessionId()
|
||||
},
|
||||
timeout: 300000
|
||||
}
|
||||
);
|
||||
|
||||
// 处理响应数据 - 查找 response.completed 事件
|
||||
let finalResponse = null;
|
||||
const lines = response.data.split('\n');
|
||||
|
||||
for (const line of lines) {
|
||||
if (line.trim().startsWith('data:')) {
|
||||
const data = line.slice(5).trim();
|
||||
try {
|
||||
const parsed = JSON.parse(data);
|
||||
if (parsed.type === 'response.completed') {
|
||||
finalResponse = parsed;
|
||||
break;
|
||||
}
|
||||
} catch (e) {
|
||||
// 忽略解析错误
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (!finalResponse) {
|
||||
throw new Error('未收到完整响应');
|
||||
}
|
||||
|
||||
// 转换为 OpenAI 格式
|
||||
const transformed = this.transformNonStreamResponse(finalResponse, openaiRequest.model);
|
||||
res.json(transformed);
|
||||
|
||||
} catch (error) {
|
||||
console.error('代理请求失败:', error.message);
|
||||
if (error.response) {
|
||||
console.error('响应状态:', error.response.status);
|
||||
console.error('响应头:', error.response.headers);
|
||||
try {
|
||||
console.error('响应数据:', typeof error.response.data === 'string'
|
||||
? error.response.data
|
||||
: JSON.stringify(error.response.data));
|
||||
} catch (e) {
|
||||
console.error('响应数据无法序列化');
|
||||
}
|
||||
}
|
||||
|
||||
res.status(error.response?.status || 500).json({
|
||||
error: {
|
||||
message: error.response?.data?.error?.message || error.message,
|
||||
type: 'proxy_error',
|
||||
code: error.response?.status || 500
|
||||
}
|
||||
});
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
export default ProxyHandler;
|
||||
132
src/tokenManager.js
Normal file
132
src/tokenManager.js
Normal file
@@ -0,0 +1,132 @@
|
||||
import fs from 'fs/promises';
|
||||
import axios from 'axios';
|
||||
|
||||
// OpenAI OAuth 配置
|
||||
const TOKEN_URL = 'https://auth.openai.com/oauth/token';
|
||||
const CLIENT_ID = 'app_EMoamEEZ73f0CkXaXp7hrann';
|
||||
|
||||
/**
|
||||
* Token 管理器
|
||||
*/
|
||||
class TokenManager {
|
||||
constructor(tokenFilePath) {
|
||||
this.tokenFilePath = tokenFilePath;
|
||||
this.tokenData = null;
|
||||
}
|
||||
|
||||
/**
|
||||
* 从文件加载 token
|
||||
*/
|
||||
async loadToken() {
|
||||
try {
|
||||
const data = await fs.readFile(this.tokenFilePath, 'utf-8');
|
||||
this.tokenData = JSON.parse(data);
|
||||
console.log(`✓ Token 加载成功: ${this.tokenData.email || this.tokenData.account_id}`);
|
||||
return this.tokenData;
|
||||
} catch (error) {
|
||||
throw new Error(`加载 token 文件失败: ${error.message}`);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 保存 token 到文件
|
||||
*/
|
||||
async saveToken(tokenData) {
|
||||
try {
|
||||
this.tokenData = tokenData;
|
||||
await fs.writeFile(this.tokenFilePath, JSON.stringify(tokenData, null, 2), 'utf-8');
|
||||
console.log('✓ Token 已保存到文件');
|
||||
} catch (error) {
|
||||
console.error(`保存 token 文件失败: ${error.message}`);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 检查 token 是否过期
|
||||
*/
|
||||
isTokenExpired() {
|
||||
if (!this.tokenData || !this.tokenData.expired) {
|
||||
return true;
|
||||
}
|
||||
const expireTime = new Date(this.tokenData.expired);
|
||||
const now = new Date();
|
||||
// 提前 5 分钟刷新
|
||||
return expireTime.getTime() - now.getTime() < 5 * 60 * 1000;
|
||||
}
|
||||
|
||||
/**
|
||||
* 刷新 access token
|
||||
*/
|
||||
async refreshToken() {
|
||||
if (!this.tokenData || !this.tokenData.refresh_token) {
|
||||
throw new Error('没有可用的 refresh_token');
|
||||
}
|
||||
|
||||
console.log('正在刷新 token...');
|
||||
|
||||
try {
|
||||
const params = new URLSearchParams({
|
||||
client_id: CLIENT_ID,
|
||||
grant_type: 'refresh_token',
|
||||
refresh_token: this.tokenData.refresh_token,
|
||||
scope: 'openid profile email'
|
||||
});
|
||||
|
||||
const response = await axios.post(TOKEN_URL, params.toString(), {
|
||||
headers: {
|
||||
'Content-Type': 'application/x-www-form-urlencoded',
|
||||
'Accept': 'application/json'
|
||||
}
|
||||
});
|
||||
|
||||
const { access_token, refresh_token, id_token, expires_in } = response.data;
|
||||
|
||||
// 更新 token 数据
|
||||
const newTokenData = {
|
||||
...this.tokenData,
|
||||
access_token,
|
||||
refresh_token: refresh_token || this.tokenData.refresh_token,
|
||||
id_token: id_token || this.tokenData.id_token,
|
||||
expired: new Date(Date.now() + expires_in * 1000).toISOString(),
|
||||
last_refresh: new Date().toISOString()
|
||||
};
|
||||
|
||||
await this.saveToken(newTokenData);
|
||||
console.log('✓ Token 刷新成功');
|
||||
|
||||
return newTokenData;
|
||||
} catch (error) {
|
||||
const errorMsg = error.response?.data || error.message;
|
||||
throw new Error(`Token 刷新失败: ${JSON.stringify(errorMsg)}`);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取有效的 access token(自动刷新)
|
||||
*/
|
||||
async getValidToken() {
|
||||
if (!this.tokenData) {
|
||||
await this.loadToken();
|
||||
}
|
||||
|
||||
if (this.isTokenExpired()) {
|
||||
await this.refreshToken();
|
||||
}
|
||||
|
||||
return this.tokenData.access_token;
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取 token 信息
|
||||
*/
|
||||
getTokenInfo() {
|
||||
return {
|
||||
email: this.tokenData?.email,
|
||||
account_id: this.tokenData?.account_id,
|
||||
expired: this.tokenData?.expired,
|
||||
type: this.tokenData?.type
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
export default TokenManager;
|
||||
10
token.example.json
Normal file
10
token.example.json
Normal file
@@ -0,0 +1,10 @@
|
||||
{
|
||||
"id_token": "your_id_token_here",
|
||||
"access_token": "your_access_token_here",
|
||||
"refresh_token": "your_refresh_token_here",
|
||||
"account_id": "your_account_id",
|
||||
"email": "your_email@example.com",
|
||||
"type": "codex",
|
||||
"expired": "2026-12-31T23:59:59.000Z",
|
||||
"last_refresh": "2026-01-01T00:00:00.000Z"
|
||||
}
|
||||
Reference in New Issue
Block a user