# documentation: https://docs.anythingllm.com/installation-docker/overview
# slogan: AnythingLLM is the easiest to use, all-in-one AI application that can do RAG, AI Agents, and much more with no code or infrastructure headaches.
# tags: lowcode, nocode, ai, llm, openai, anthropic, machine-learning, rag, agents, chatbot, api, team, bot
# logo: svgs/anythingllm.svg

version: "3"

volumes:
  storage_dir: null
  hot_dir: null
  outputs_dir: null

services:
  anything-llm:
    image: mintplexlabs/anythingllm
    environment:
      - SERVICE_FQDN_ANYTHINGLLM_3001
      - STORAGE_DIR=/app/server/storage
      - DISABLE_TELEMETRY=true
      - PASSWORDLOWERCASE=1
      - PASSWORDMAXCHAR=250
      - PASSWORDMINCHAR=6
      - PASSWORDNUMERIC=1
      - PASSWORDREQUIREMENTS=1
      - PASSWORDSYMBOL=1
      - PASSWORDUPPERCASE=1
      - SIG_KEY=${SERVICE_PASSWORD_SIGKEY}
      - SIG_SALT=${SERVICE_PASSWORD_SIGSALT}
      - JWT_SECRET=${SERVICE_PASSWORD_JWTSECRET}
      - AUTH_TOKEN=${SERVICE_PASSWORD_AUTHTOKEN}
      - AUTH_TOKEN=${AUTH_TOKEN}
      - SERVER_PORT=${SERVER_PORT:-3001}
    cap_add:
      - SYS_ADMIN
    volumes:
      - "storage_dir:/app/server/storage"
      - "hot_dir:/app/collector/hotdir"
      - "outputs_dir:/app/collector/outputs"
    user: "${UID:-1000}:${GID:-1000}"