# 克隆项目
git clone https://github.com/WW-AI-Lab/azure-gpt-image.git
cd azure-gpt-image

# 创建虚拟环境
python -m venv .venv
source .venv/bin/activate  # Linux/macOS

# 安装依赖
pip install -r requirements.txt

# 配置环境变量
cp env.example .env
# 编辑 .env 文件，设置您的Azure OpenAI配置

# Streamable HTTP Transport (推荐)
python -m azure_gpt_image --port 3000

# 或使用Docker
docker-compose up -d

{
  "name": "generate_image",
  "arguments": {
    "prompt": "A serene mountain landscape with a crystal clear lake, golden hour lighting",
    "size": "1024x1536",
    "quality": "high",
    "output_format": "JPEG"
  }
}

{
  "name": "edit_image",
  "arguments": {
    "image_data": ["base64_image_1", "base64_image_2"],
    "prompt": "Combine these images into a cohesive landscape",
    "size": "1536x1024",
    "quality": "medium"
  }
}

{
  "mcpServers": {
    "azure-gpt-image": {
      "command": "python",
      "args": ["-m", "azure_gpt_image", "--port", "3000"],
      "env": {
        "AZURE_OPENAI_ENDPOINT": "https://your-resource.openai.azure.com/",
        "AZURE_OPENAI_API_KEY": "your-api-key-here"
      }
    }
  }
}

# 准备并编辑 .env 文件，设置您的Azure OpenAI配置
cp env.example .env

# 使用Docker Compose (推荐)
docker-compose up -d

# 或直接使用Docker
docker build -t azure-gpt-image .
docker run -d -p 3000:3000 --env-file .env azure-gpt-image

# 运行所有测试
python -m pytest tests/ -v

# 运行特定测试
python -m pytest tests/test_mcp_server.py -v

# 运行集成测试
python -m pytest tests/test_integration.py -v

azure-gpt-image/
├── .cursor/rules/          # Cursor规则文件
├── src/azure_gpt_image/    # 核心代码
├── tests/                  # 测试文件
├── docs/                   # 文档
├── docker-compose.yml      # Docker编排
└── Dockerfile             # Docker镜像