docker-compose.yml

version: '2.1'

services:
  llm-service:
    build: ./core
    restart: unless-stopped
    environment:
      FLASK_ENV: ${FLASK_ENV} # Autorestarts flask when code changes are detected
      OPENAI_API_KEY: ${OPENAI_API_KEY}
      LANGSMITH_API_KEY: ${LANGSMITH_API_KEY}
      LANGCHAIN_TRACING_V2: ${LANGCHAIN_TRACING_V2}
      LANGCHAIN_ENDPOINT: "https://api.smith.langchain.com"
      LANGCHAIN_PROJECT: ${LANGCHAIN_PROJECT}
      PERPLEXITY_API_KEY: ${PERPLEXITY_API_KEY}
      GOOGLE_AUTH_KEY: ${GOOGLE_AUTH_KEY}
      GOOGLE_CALENDAR_ID: ${GOOGLE_CALENDAR_ID}
      PORT: ${PORT}
      TAVILY_API_KEY: ${TAVILY_API_KEY}
      Port_STT: ${PORT_STT}
    volumes:
      - ./core:/app  # Mount the application code to detect live changes
    networks:
      - backend
    stop_signal: SIGINT
    ports:
      - "3000:3000"
    deploy:
      resources:
        limits:
          cpus: '0.5'
          memory: 2048M # Memory limit for the compose

  speech-to-text:
    build: ./speechToText
    restart: unless-stopped
    environment:
      FLASK_ENV: ${FLASK_ENV} # Autorestarts flask when code changes are detected
      OPENAI_API_KEY: ${OPENAI_API_KEY}
      PORT_STT: ${PORT_STT}
    volumes:
      - ./speechToText:/app  # Mount the application code to detect live changes
    networks:
      - backend
    stop_signal: SIGINT
    ports:
      - "3001:3001"
  redis:
    image: redis:latest
    container_name: redis_audio
    ports:
      - "6379:6379"
    networks:
      - backend
    command: >
      redis-server 
      --appendonly yes 
      --save 60 1 
      --save 300 100 
      --save 900 1000
      --maxmemory 1000mb
    volumes:
      - ./redis_data:/data
  tts:
    build:
      context: ./textToSpeech
      dockerfile: Dockerfile
    networks:
      - backend
    env_file:
      - .env
    ports:
      - "5000:5000"
    environment:
      - REDIS_URL=redis://redis:6379
      - NARKEE_API_KEY=${NARKEE_API_KEY}
    depends_on:
      - redis 




  

networks:
  backend:
    driver: bridge