# Knowledge Service — one-shot local / user-side run
#
#   cp docker/env.example docker/env.docker
#   docker compose --env-file docker/env.docker up -d
#
# Or pass vars inline:
#   PUBLIC_URL=http://203.0.113.10:8421/v3 \
#   TMC_CALLBACK=http://203.0.113.10:8123 \
#   LLM_MODE=custom LLM_API_KEY=sk-xxx \
#   LLM_BASE_URL=https://api.example.com/v1 \
#   docker compose up -d --build
# 默认 LLM_MODE=proxy 时无需 LLM_API_KEY/LLM_BASE_URL（走 context_proxy 绑定）。

services:
  knowledge:
    build: .
    image: ${TEAM_KNOWLEDGE_IMAGE:-team-knowledge:latest}
    ports:
      - "${TEAM_KNOWLEDGE_HOST_PORT:-8421}:8421"
    volumes:
      - knowledge-data:/app/data
    restart: unless-stopped
    command:
      - --public-url=${PUBLIC_URL:?set PUBLIC_URL e.g. http://203.0.113.10:8421/v3}
      - --tmc-callback=${TMC_CALLBACK:-}
      # proxy（默认）走 context_proxy 绑定；custom 才需 --llm-key/--llm-base-url。
      - --llm-mode=${LLM_MODE:-proxy}
      - --llm-key=${LLM_API_KEY:-}
      - --llm-base-url=${LLM_BASE_URL:-}
      - --llm-model=${LLM_MODEL:-gpt-4o-mini}
    healthcheck:
      test: ["CMD", "node", "-e", "fetch('http://127.0.0.1:8421/health').then(r=>process.exit(r.ok?0:1)).catch(()=>process.exit(1))"]
      interval: 15s
      timeout: 5s
      retries: 3
      start_period: 15s

volumes:
  knowledge-data: