docker-compose.yaml

# Base configuration for Atoma services
x-atoma-node: &atoma-node
  image: ghcr.io/atoma-network/atoma-node:latest
  volumes:
    - ${CONFIG_PATH:-./config.toml}:/app/config.toml
    - ./logs:/app/logs
    - sui-config-volume:/root/.sui/sui_config
    - ${SUI_CONFIG_PATH:-~/.sui/sui_config}:/tmp/.sui/sui_config
    - ./data:/app/data
  env_file: .env
  networks:
    - atoma-network

# Base configuration for cuda inference services
x-inference-service-cuda: &inference-service-cuda
  runtime: nvidia
  deploy:
    resources:
      reservations:
        devices:
          - driver: nvidia
            count: all
            capabilities: [gpu]
  volumes:
    - ${HF_CACHE_PATH:-~/.cache/huggingface}:/root/.cache/huggingface
  env_file: .env
  networks:
    - atoma-network

# Base configuration for cpu inference services
x-inference-service-cpu: &inference-service-cpu
  volumes:
    - ${HF_CACHE_PATH:-~/.cache/huggingface}:/root/.cache/huggingface
  env_file: .env
  networks:
    - atoma-network

# Base configuration for ROCm inference services
x-inference-service-rocm: &inference-service-rocm
  runtime: rocm
  devices:
    - all
  volumes:
    - ${HF_CACHE_PATH:-~/.cache/huggingface}:/root/.cache/huggingface
  env_file: .env
  networks:
    - atoma-network

services:
  postgres-db:
    image: postgres:13
    restart: always
    environment:
      - POSTGRES_DB=${POSTGRES_DB}
      - POSTGRES_USER=${POSTGRES_USER}
      - POSTGRES_PASSWORD=${POSTGRES_PASSWORD}
    ports:
      - "${POSTGRES_PORT:-5432}:5432"
    volumes:
      - postgres-data:/var/lib/postgresql/data
    env_file: .env
    networks:
      - atoma-network

  prometheus:
    image: prom/prometheus:latest
    restart: always
    ports:
      - "${PROMETHEUS_PORT:-9090}:9090"
    volumes:
      - ./prometheus.yml:/etc/prometheus/prometheus.yml
    env_file: .env
    networks:
      - atoma-network

  grafana:
    image: grafana/grafana:latest
    restart: always
    ports:
      - "${GRAFANA_PORT:-30001}:30000"
    depends_on:
      - prometheus
    volumes:
      - grafana_data:/var/lib/grafana
    env_file: .env
    networks:
      - atoma-network

  atoma-node:
    <<: *atoma-node
    ports:
      - "${ATOMA_SERVICE_PORT:-3000}:3000"
      - "127.0.0.1:${ATOMA_DAEMON_PORT:-3001}:3001"
    profiles:
      - chat_completions_vllm
      - chat_completions_vllm_cpu
      - chat_completions_vllm_rocm
      - chat_completions_mistralrs_cpu
      - embeddings_tei
      - image_generations_mistralrs
    depends_on:
      postgres-db:
        condition: service_started
        required: true
      vllm:
        condition: service_started
        required: false
      vllm-cpu:
        condition: service_started
        required: false
      vllm-rocm:
        condition: service_started
        required: false
      mistralrs-cpu:
        condition: service_started
        required: false
      tei:
        condition: service_started
        required: false
      mistralrs:
        condition: service_started
        required: false

  vllm:
    <<: *inference-service-cuda
    container_name: chat-completions
    profiles: [chat_completions_vllm]
    image: vllm/vllm-openai:v0.6.5
    ipc: host
    command: ${VLLM_ENGINE_ARGS}

  vllm-cpu:
    <<: *inference-service-cpu
    container_name: chat-completions
    profiles: [chat_completions_vllm_cpu]
    build:
      context: https://github.com/atoma-network/vllm.git#main
      dockerfile: Dockerfile.cpu
    command: --model ${CHAT_COMPLETIONS_MODEL} --max-model-len ${CHAT_COMPLETIONS_MAX_MODEL_LEN}

  vllm-rocm:
    <<: *inference-service-rocm
    container_name: chat-completions
    profiles: [chat_completions_vllm_rocm]
    build:
      context: https://github.com/atoma-network/vllm.git#main
      dockerfile: Dockerfile.rocm
    command: --model ${CHAT_COMPLETIONS_MODEL} --max-model-len ${CHAT_COMPLETIONS_MAX_MODEL_LEN} --tensor-parallel-size ${VLLM_TENSOR_PARALLEL_SIZE}

  mistralrs-cpu:
    <<: *inference-service-cpu
    container_name: chat-completions
    profiles: [chat_completions_mistralrs_cpu]
    build:
      context: https://github.com/EricLBuehler/mistral.rs.git
      dockerfile: Dockerfile
    command: plain -m ${CHAT_COMPLETIONS_MODEL}

  tei:
    <<: *inference-service-cuda
    container_name: embeddings
    profiles: [embeddings_tei]
    image: ${TEI_IMAGE}
    command: --model-id ${EMBEDDINGS_MODEL} --huggingface-hub-cache /root/.cache/huggingface/hub

  mistralrs:
    <<: *inference-service-cuda
    container_name: image-generations
    profiles: [image_generations_mistralrs]
    image: ${MISTRALRS_IMAGE}
    command: diffusion-plain -m ${IMAGE_GENERATIONS_MODEL} --arch ${IMAGE_GENERATIONS_ARCHITECTURE}

networks:
  atoma-network:
    driver: bridge

volumes:
  postgres-data:
  grafana_data:
  sui-config-volume: