一键部署本地 AI 服务,支持 Apple Silicon (M1/M2/M3/M4)。
Scanned 9/9/2026
Install to Claude Code
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# MLX Local AI 技能
一键部署本地 AI 服务,支持 Apple Silicon (M1/M2/M3/M4)。
## 功能
- 🤖 **本地 LLM 服务**:Qwen3.5-4B-OptiQ-4bit (通过 MLX-LM)
- 📊 **Embedding 服务**:bge-base-zh-v1.5 (中文向量模型)
- 🔄 **OpenClaw Gateway**:统一 API 网关
- 🎯 **一键安装/启动/停止**
## 系统要求
- macOS 14.0+ (Sonoma 或更高)
- Apple Silicon (M1/M2/M3/M4)
- Python 3.10+
- 8GB+ 内存
## 快速开始
### 安装
```bash
./install.sh
```
### 启动服务
```bash
./start_ai.sh start
```
### 检查状态
```bash
./start_ai.sh status
```
### 停止服务
```bash
./start_ai.sh stop
```
## 服务端口
| 服务 | 端口 | 说明 |
|------|------|------|
| Chat API | 8080 | OpenAI 兼容 API |
| Embedding API | 8081 | 向量嵌入 API |
| OpenClaw Gateway | 18789 | 管理界面 |
## API 使用
### Chat API
```bash
curl http://localhost:8080/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "mlx-community/Qwen3.5-4B-OptiQ-4bit",
"messages": [{"role": "user", "content": "你好"}],
"max_tokens": 100
}'
```
### Embedding API
```bash
curl http://localhost:8081/embed \
-H "Content-Type: application/json" \
-d '{"texts": ["你好", "世界"]}'
```
## 文件结构
```
mlx-local-ai/
├── SKILL.md # 本文件
├── install.sh # 安装脚本
├── start_ai.sh # 启动脚本
├── uninstall.sh # 卸载脚本
├── config/ # 配置文件
│ ├── openclaw.json # OpenClaw 配置
│ └── env.example # 环境变量示例
└── scripts/ # 工具脚本
├── check_deps.py # 依赖检查
└── test_api.py # API 测试
```
## 配置
### 环境变量
复制 `config/env.example` 到 `~/.zshrc`:
```bash
cp config/env.example ~/.zshrc.local
echo 'source ~/.zshrc.local' >> ~/.zshrc
```
### 模型配置
默认使用 `mlx-community/Qwen3.5-4B-OptiQ-4bit`,可在 `start_ai.sh` 中修改。
## 故障排查
### 服务无法启动
```bash
# 检查依赖
python3 scripts/check_deps.py
# 查看日志
./start_ai.sh logs
```
### 模型加载失败
```bash
# 手动下载模型
source ~/mlx-env/bin/activate
HF_ENDPOINT=https://hf-mirror.com python3 -c "from mlx_lm import load; load('mlx-community/Qwen3.5-4B-OptiQ-4bit')"
```
## 更新
```bash
./install.sh --update
```
## 卸载
```bash
./uninstall.sh
```
## 许可证
MIT License
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