|
1 |
| -# mock-openai-api |
2 |
| -a mock OpenAI Compatible Provider API server |
| 1 | +# Mock OpenAI API |
| 2 | + |
| 3 | +一个完整的 OpenAI API 兼容的模拟服务器,无需调用真实的大模型,返回预定义的测试数据。非常适合开发、测试和调试使用 OpenAI API 的应用程序。 |
| 4 | + |
| 5 | +## 🚀 快速开始 |
| 6 | + |
| 7 | +### 安装 |
| 8 | + |
| 9 | +```bash |
| 10 | +npm install -g mock-openai-api |
| 11 | +``` |
| 12 | + |
| 13 | +### 启动服务器 |
| 14 | + |
| 15 | +```bash |
| 16 | +npx mock-openai-api |
| 17 | +``` |
| 18 | + |
| 19 | +服务器将在 `http://localhost:3000` 启动。 |
| 20 | + |
| 21 | +### 基本使用 |
| 22 | + |
| 23 | +```bash |
| 24 | +# 获取模型列表 |
| 25 | +curl http://localhost:3000/v1/models |
| 26 | + |
| 27 | +# 聊天完成(非流式) |
| 28 | +curl -X POST http://localhost:3000/v1/chat/completions \ |
| 29 | + -H "Content-Type: application/json" \ |
| 30 | + -d '{ |
| 31 | + "model": "mock-gpt-thinking", |
| 32 | + "messages": [{"role": "user", "content": "你好"}] |
| 33 | + }' |
| 34 | + |
| 35 | +# 聊天完成(流式) |
| 36 | +curl -X POST http://localhost:3000/v1/chat/completions \ |
| 37 | + -H "Content-Type: application/json" \ |
| 38 | + -d '{ |
| 39 | + "model": "mock-gpt-thinking", |
| 40 | + "messages": [{"role": "user", "content": "你好"}], |
| 41 | + "stream": true |
| 42 | + }' |
| 43 | + |
| 44 | +# 图像生成 |
| 45 | +curl -X POST http://localhost:3000/v1/images/generations \ |
| 46 | + -H "Content-Type: application/json" \ |
| 47 | + -d '{ |
| 48 | + "model": "gpt-4o-image", |
| 49 | + "prompt": "一只可爱的猫咪", |
| 50 | + "n": 1, |
| 51 | + "size": "1024x1024" |
| 52 | + }' |
| 53 | +``` |
| 54 | + |
| 55 | +## 🎯 特性 |
| 56 | + |
| 57 | +- ✅ **完整的 OpenAI API 兼容性** |
| 58 | +- ✅ **支持流式和非流式聊天完成** |
| 59 | +- ✅ **支持函数调用** |
| 60 | +- ✅ **支持图像生成** |
| 61 | +- ✅ **预定义的测试场景** |
| 62 | +- ✅ **TypeScript 编写** |
| 63 | +- ✅ **易于集成和部署** |
| 64 | +- ✅ **详细的错误处理** |
| 65 | + |
| 66 | +## 📋 支持的 API 端点 |
| 67 | + |
| 68 | +### 模型管理 |
| 69 | +- `GET /v1/models` - 获取可用模型列表 |
| 70 | +- `GET /models` - 兼容端点 |
| 71 | + |
| 72 | +### 聊天完成 |
| 73 | +- `POST /v1/chat/completions` - 创建聊天完成 |
| 74 | +- `POST /chat/completions` - 兼容端点 |
| 75 | + |
| 76 | +### 图像生成 |
| 77 | +- `POST /v1/images/generations` - 生成图像 |
| 78 | +- `POST /images/generations` - 兼容端点 |
| 79 | + |
| 80 | +### 健康检查 |
| 81 | +- `GET /health` - 服务器健康状态 |
| 82 | + |
| 83 | +## 🤖 可用模型 |
| 84 | + |
| 85 | +### 1. mock-gpt-thinking |
| 86 | +**思考型模型** - 显示推理过程,适合调试逻辑 |
| 87 | + |
| 88 | +```json |
| 89 | +{ |
| 90 | + "model": "mock-gpt-thinking", |
| 91 | + "messages": [{"role": "user", "content": "计算 2+2"}] |
| 92 | +} |
| 93 | +``` |
| 94 | + |
| 95 | +响应会包含 `<thinking>` 标签显示思考过程。 |
| 96 | + |
| 97 | +### 2. mock-gpt-function |
| 98 | +**函数调用模型** - 支持工具和函数调用 |
| 99 | + |
| 100 | +```json |
| 101 | +{ |
| 102 | + "model": "mock-gpt-function", |
| 103 | + "messages": [{"role": "user", "content": "今天北京的天气怎么样?"}], |
| 104 | + "functions": [ |
| 105 | + { |
| 106 | + "name": "get_weather", |
| 107 | + "description": "获取天气信息", |
| 108 | + "parameters": { |
| 109 | + "type": "object", |
| 110 | + "properties": { |
| 111 | + "location": {"type": "string"}, |
| 112 | + "date": {"type": "string"} |
| 113 | + } |
| 114 | + } |
| 115 | + } |
| 116 | + ] |
| 117 | +} |
| 118 | +``` |
| 119 | + |
| 120 | +### 3. mock-gpt-markdown |
| 121 | +**Markdown 示例模型** - 始终输出标准 Markdown 格式 |
| 122 | + |
| 123 | +```json |
| 124 | +{ |
| 125 | + "model": "mock-gpt-markdown", |
| 126 | + "messages": [{"role": "user", "content": "任何问题"}] |
| 127 | +} |
| 128 | +``` |
| 129 | + |
| 130 | +响应将是一个完整的 Markdown 文档,包含各种格式元素,适合前端 UI 调试。 |
| 131 | + |
| 132 | +### 4. gpt-4o-image |
| 133 | +**图像生成模型** - 专门用于图像生成 |
| 134 | + |
| 135 | +```json |
| 136 | +{ |
| 137 | + "model": "gpt-4o-image", |
| 138 | + "prompt": "一只可爱的橘猫在阳光下玩耍", |
| 139 | + "n": 2, |
| 140 | + "size": "1024x1024", |
| 141 | + "quality": "hd" |
| 142 | +} |
| 143 | +``` |
| 144 | + |
| 145 | +支持多种尺寸和质量设置,返回高质量的模拟图像。 |
| 146 | + |
| 147 | +## 🛠️ 开发 |
| 148 | + |
| 149 | +### 本地开发 |
| 150 | + |
| 151 | +```bash |
| 152 | +# 克隆项目 |
| 153 | +git clone https://github.com/zerob13/mock-openai-api.git |
| 154 | +cd mock-openai-api |
| 155 | + |
| 156 | +# 安装依赖 |
| 157 | +npm install |
| 158 | + |
| 159 | +# 开发模式运行 |
| 160 | +npm run dev |
| 161 | + |
| 162 | +# 构建项目 |
| 163 | +npm run build |
| 164 | + |
| 165 | +# 生产模式运行 |
| 166 | +npm start |
| 167 | +``` |
| 168 | + |
| 169 | +### 项目结构 |
| 170 | + |
| 171 | +``` |
| 172 | +src/ |
| 173 | +├── types/ # TypeScript 类型定义 |
| 174 | +├── data/ # 预定义的测试数据 |
| 175 | +├── utils/ # 工具函数 |
| 176 | +├── services/ # 业务逻辑服务 |
| 177 | +├── controllers/ # 路由控制器 |
| 178 | +├── routes/ # 路由定义 |
| 179 | +├── app.ts # Express 应用设置 |
| 180 | +├── index.ts # 服务器启动 |
| 181 | +└── cli.ts # CLI 工具入口 |
| 182 | +``` |
| 183 | + |
| 184 | +### 添加新的测试场景 |
| 185 | + |
| 186 | +1. 在 `src/data/mockData.ts` 中添加新的测试用例 |
| 187 | +2. 可以为现有模型添加测试用例,或创建新的模型类型 |
| 188 | +3. 重新构建项目:`npm run build` |
| 189 | + |
| 190 | +示例: |
| 191 | + |
| 192 | +```typescript |
| 193 | +const newTestCase: MockTestCase = { |
| 194 | + name: "新功能测试", |
| 195 | + description: "测试新功能的描述", |
| 196 | + prompt: "触发关键词", |
| 197 | + response: "预期的响应内容", |
| 198 | + streamChunks: ["分段", "流式", "内容"], // 可选 |
| 199 | + functionCall: { // 可选,仅用于 function 类型模型 |
| 200 | + name: "function_name", |
| 201 | + arguments: { param: "value" } |
| 202 | + } |
| 203 | +}; |
| 204 | +``` |
| 205 | + |
| 206 | +## 🌐 部署 |
| 207 | + |
| 208 | +### Docker 部署 |
| 209 | + |
| 210 | +创建 `Dockerfile`: |
| 211 | + |
| 212 | +```dockerfile |
| 213 | +FROM node:18-alpine |
| 214 | +WORKDIR /app |
| 215 | +COPY package*.json ./ |
| 216 | +RUN npm ci --only=production |
| 217 | +COPY dist ./dist |
| 218 | +EXPOSE 3000 |
| 219 | +CMD ["node", "dist/index.js"] |
| 220 | +``` |
| 221 | + |
| 222 | +构建和运行: |
| 223 | + |
| 224 | +```bash |
| 225 | +docker build -t mock-openai-api . |
| 226 | +docker run -p 3000:3000 mock-openai-api |
| 227 | +``` |
| 228 | + |
| 229 | +### 环境变量 |
| 230 | + |
| 231 | +- `PORT` - 服务器端口(默认:3000) |
| 232 | +- `HOST` - 服务器主机(默认:0.0.0.0) |
| 233 | + |
| 234 | +## 🧪 测试 |
| 235 | + |
| 236 | +### 使用 curl 测试 |
| 237 | + |
| 238 | +```bash |
| 239 | +# 测试健康检查 |
| 240 | +curl http://localhost:3000/health |
| 241 | + |
| 242 | +# 测试模型列表 |
| 243 | +curl http://localhost:3000/v1/models |
| 244 | + |
| 245 | +# 测试思考型模型 |
| 246 | +curl -X POST http://localhost:3000/v1/chat/completions \ |
| 247 | + -H "Content-Type: application/json" \ |
| 248 | + -d '{ |
| 249 | + "model": "mock-gpt-thinking", |
| 250 | + "messages": [{"role": "user", "content": "解释一下递归"}] |
| 251 | + }' |
| 252 | + |
| 253 | +# 测试函数调用 |
| 254 | +curl -X POST http://localhost:3000/v1/chat/completions \ |
| 255 | + -H "Content-Type: application/json" \ |
| 256 | + -d '{ |
| 257 | + "model": "mock-gpt-function", |
| 258 | + "messages": [{"role": "user", "content": "现在几点了?"}] |
| 259 | + }' |
| 260 | + |
| 261 | +# 测试 Markdown 输出 |
| 262 | +curl -X POST http://localhost:3000/v1/chat/completions \ |
| 263 | + -H "Content-Type: application/json" \ |
| 264 | + -d '{ |
| 265 | + "model": "mock-gpt-markdown", |
| 266 | + "messages": [{"role": "user", "content": "任何内容"}] |
| 267 | + }' |
| 268 | + |
| 269 | +# 测试流式输出 |
| 270 | +curl -X POST http://localhost:3000/v1/chat/completions \ |
| 271 | + -H "Content-Type: application/json" \ |
| 272 | + -d '{ |
| 273 | + "model": "mock-gpt-thinking", |
| 274 | + "messages": [{"role": "user", "content": "讲个故事"}], |
| 275 | + "stream": true |
| 276 | + }' |
| 277 | + |
| 278 | +# 测试图像生成 |
| 279 | +curl -X POST http://localhost:3000/v1/images/generations \ |
| 280 | + -H "Content-Type: application/json" \ |
| 281 | + -d '{ |
| 282 | + "model": "gpt-4o-image", |
| 283 | + "prompt": "一只可爱的橘猫", |
| 284 | + "n": 2, |
| 285 | + "size": "1024x1024" |
| 286 | + }' |
| 287 | +``` |
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