prompt-optimizer Docker & Self-Hosted Deployment

GitHub

An AI prompt optimizer for writing better prompts and getting better AI results.

RAW Compose
1. Pull Image (DOCKERHUB) docker pull linshen/prompt-optimizer
2. Docker Run (1-Click Launch) docker run -d --name prompt-optimizer --restart always linshen/prompt-optimizer:dev
3. Podman Run podman run -d --name prompt-optimizer --restart always linshen/prompt-optimizer:dev
4. Skopeo Inspect (Zero-Pull Manifest) skopeo inspect docker://docker.io/linshen/prompt-optimizer:dev
5. ORAS Pull (OCI Artifact) oras pull linshen/prompt-optimizer:dev
6. Compose Deployment docker compose up -d
docker/docker-compose.dev.yml
Download .yml
services:
  prompt-optimizer:
    # 开发模式:从源码构建
    build:
       context: ..
       dockerfile: Dockerfile
    image: linshen/prompt-optimizer:dev
    container_name: prompt-optimizer-dev
    restart: unless-stopped
    ports:
      - "28082:${NGINX_PORT:-80}"      # Web应用端口(包含MCP服务器,通过/mcp路径访问)
    extra_hosts:
      - "host.docker.internal:host-gateway"  # 允许容器访问宿主机
    env_file:
      - ../.env.local     # 读取仓库根目录的本地环境变量文件
    healthcheck:
      test: ["CMD", "sh", "-c", "curl -fsS http://localhost:${NGINX_PORT:-80}/healthz >/dev/null"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 40s
    environment:
      # nginx内部端口配置
      - NGINX_PORT=${NGINX_PORT:-80}

      # Web应用API配置(从 .env.local 读取,不在此处覆盖)

      # MCP服务器配置(Docker内部固定端口3000,忽略MCP_HTTP_PORT环境变量)
      # - MCP_LOG_LEVEL=${MCP_LOG_LEVEL:-debug}
      # - MCP_DEFAULT_LANGUAGE=${MCP_DEFAULT_LANGUAGE:-zh}
      # - MCP_DEFAULT_MODEL_PROVIDER=${MCP_DEFAULT_MODEL_PROVIDER:-openai}

      # Basic认证配置(可选)
      - ACCESS_USERNAME=${ACCESS_USERNAME:-admin}
      - ACCESS_PASSWORD=${ACCESS_PASSWORD:-123456}