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# docker-compose.gpu.yml
# GPU-enabled version (requires NVIDIA GPU + nvidia-docker)
services:
# ============================================================
# WEB APPLICATION (Required)
# ============================================================
web:
build: .
container_name: flai-web
ports:
- "5000:5000"
depends_on:
- redis
- postgres
- llama-swap
env_file:
- .env
volumes:
# Mount application data directory
- ./data:/app/data
- ./.env:/app/.env:ro
# Mount models directory for GGUF metadata reading
- ./services/llamacpp/models:/models:ro
# Mount llama-swap config
- ./llama-swap-config:/config
# Mount docker socket for GPU detection
- /var/run/docker.sock:/var/run/docker.sock
# Persistent code mounts (survive restart)
- ./app/llamacpp_client.py:/app/app/llamacpp_client.py
- ./app/llama_swap_config.py:/app/app/llama_swap_config.py
- ./app/queue.py:/app/app/queue.py
- ./app/resource_manager.py:/app/app/resource_manager.py
- ./app/utils.py:/app/app/utils.py
- ./app/database.py:/app/app/database.py
- ./app/db.py:/app/app/db.py
- ./app/routes/admin.py:/app/app/routes/admin.py
- ./app/routes/queue.py:/app/app/routes/queue.py
- ./app/routes/messages.py:/app/app/routes/messages.py
- ./app/static/js/chat-init.js:/app/app/static/js/chat-init.js
- ./app/static/js/chat-recording.js:/app/app/static/js/chat-recording.js
- ./app/static/js/chat-constants.js:/app/app/static/js/chat-constants.js
- ./app/__init__.py:/app/app/__init__.py
- ./modules/video.py:/app/modules/video.py
- ./modules/sd_cpp.py:/app/modules/sd_cpp.py
- ./app/static/js/events.js:/app/app/static/js/events.js
- ./app/static/js/admin-models.js:/app/app/static/js/admin-models.js
- ./app/static/js/chat-queue.js:/app/app/static/js/chat-queue.js
- ./app/static/js/chat-messages.js:/app/app/static/js/chat-messages.js
- ./prompts/en/rag.template:/app/prompts/en/rag.template
- ./prompts/ru/rag.template:/app/prompts/ru/rag.template
- ./prompts/en/reasoning.template:/app/prompts/en/reasoning.template
- ./prompts/ru/reasoning.template:/app/prompts/ru/reasoning.template
- ./prompts/en/base_text.template:/app/prompts/en/base_text.template
- ./prompts/ru/base_text.template:/app/prompts/ru/base_text.template
runtime: nvidia
group_add:
- "988" # Docker socket group — needed for `docker restart` from inside container
environment:
- REDIS_URL=redis://redis:6379/0
- NVIDIA_VISIBLE_DEVICES=all
- NVIDIA_DRIVER_CAPABILITIES=compute,utility
networks:
- flai_network
restart: unless-stopped
healthcheck:
test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:5000/health')"]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
# Resource limits for production
deploy:
resources:
limits:
cpus: '4.0'
memory: 4G
reservations:
cpus: '0.5'
memory: 512M
# Logging configuration
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"
# ============================================================
# REDIS (Required - Request Queue)
# ============================================================
redis:
image: redis:8.4.2-alpine
container_name: flai-redis
volumes:
- redis_data:/data
command: redis-server --appendonly yes
networks:
- flai_network
restart: unless-stopped
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
deploy:
resources:
limits:
cpus: '1.0'
memory: 256M
reservations:
cpus: '0.25'
memory: 64M
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"
# ============================================================
# LLAMA-SWAP (Required - LLM Proxy, router mode)
# ============================================================
llama-swap:
image: ghcr.io/mostlygeek/llama-swap:cuda
container_name: flai-llamaswap
volumes:
- ./services/llamacpp/models:/models:ro
- ./llama-swap-config:/config
environment:
- NVIDIA_VISIBLE_DEVICES=all
- NVIDIA_DRIVER_CAPABILITIES=compute,utility
runtime: nvidia
networks:
- flai_network
restart: unless-stopped
command: -config /config/llama-swap.yaml -watch-config
healthcheck:
test: ["CMD-SHELL", "curl -f http://localhost:8080/health || exit 1"]
interval: 30s
timeout: 10s
retries: 3
start_period: 60s
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"
# ============================================================
# STABLE-DIFFUSION.CPP (Optional - Image Generation)
# ============================================================
sd_cpp:
build:
context: ./services/sd_cpp
dockerfile: Dockerfile.sd_cpp
container_name: flai-sd
volumes:
- ./services/sd_cpp/models/diffusion_models:/app/models/diffusion_models
- ./services/sd_cpp/models/vae:/app/models/vae
- ./services/sd_cpp/models/text_encoders:/app/models/text_encoders
- ./services/sd_cpp/outputs:/app/outputs
- ./services/sd_cpp/sd_wrapper.py:/app/sd_wrapper.py:ro
environment:
- NVIDIA_VISIBLE_DEVICES=all
- NVIDIA_DRIVER_CAPABILITIES=compute,utility
runtime: nvidia
deploy:
resources:
limits:
cpus: '8.0'
memory: 10G
reservations:
cpus: '2.0'
memory: 4G
networks:
- flai_network
restart: unless-stopped
# Run sd-wrapper HTTP API on port 7861 (calls sd-cli internally)
entrypoint: ["python3", "/app/sd_wrapper.py"]
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:7861/health"]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
profiles:
- with-image-gen
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"
# ============================================================
# LTX-VIDEO (Optional - Video Generation)
# ============================================================
ltxvideo:
build:
context: ./services/ltx_video
dockerfile: Dockerfile.ltx_video
container_name: flai-ltxvideo
volumes:
- ./services/ltx_video/models:/app/models:rw
- ./services/llamacpp/models:/models:ro
environment:
- NVIDIA_VISIBLE_DEVICES=all
- NVIDIA_DRIVER_CAPABILITIES=compute,utility
- LTX_MODELS_DIR=/app/models
- LTX_DEFAULT_MODEL=ltxv-2b-0.9.8-distilled.safetensors
- LTX_DEFAULT_UPSCALER=ltxv-spatial-upscaler-0.9.8.safetensors
- LTX_PIPELINE_CONFIG=ltxv-2b-0.9.8-distilled.yaml
- LTX_TEXT_ENCODER_PATH=/app/models/t5_encoder
runtime: nvidia
networks:
- flai_network
restart: unless-stopped
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:7872/health"]
interval: 30s
timeout: 10s
retries: 3
start_period: 180s
deploy:
resources:
limits:
cpus: '8.0'
memory: 16G
reservations:
cpus: '2.0'
memory: 8G
profiles:
- with-video
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"
# ============================================================
# WHISPER (Optional - Speech Recognition)
# ============================================================
whisper:
image: onerahmet/openai-whisper-asr-webservice:v1.9.1
container_name: flai-whisper
environment:
- ASR_MODEL=medium
- ASR_ENGINE=faster_whisper
- ASR_DEVICE=cpu
volumes:
- ./data/hf-cache/hub:/root/.cache/whisper
networks:
- flai_network
restart: unless-stopped
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:9000/docs"]
interval: 15s
timeout: 5s
retries: 3
start_period: 30s
deploy:
resources:
limits:
cpus: '2.0'
memory: 2G
reservations:
cpus: '0.5'
memory: 1G
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"
profiles:
- with-voice
# ============================================================
# PIPER TTS (Optional - Speech Synthesis)
# ============================================================
piper:
build:
context: ./services/piper
dockerfile: Dockerfile.piper
container_name: flai-piper
volumes:
- ./services/piper/piper_models:/app/models
environment:
- PIPER_MODEL_DIR=/app/models
networks:
- flai_network
restart: unless-stopped
healthcheck:
test: ["CMD-SHELL", "python3 -c \"import urllib.request; urllib.request.urlopen('http://localhost:8888/health')\" || exit 1"]
interval: 30s
timeout: 10s
retries: 3
start_period: 30s
deploy:
resources:
limits:
cpus: '2.0'
memory: 512M
reservations:
cpus: '0.5'
memory: 256M
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"
profiles:
- with-voice
# ============================================================
# SUPERLOCALMEMORY (Optional - Long-term memory)
# ============================================================
superlocalmemory:
build:
context: ./services/superlocalmemory
dockerfile: Dockerfile.slm
container_name: flai-slm
environment:
- SLM_MODE=a
- SLM_PORT=8765
- SLM_HOST=0.0.0.0
volumes:
- slm_data:/root/.superlocalmemory
- ./data/slm/:/app/data/slm/
networks:
- flai_network
restart: unless-stopped
healthcheck:
test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8766/health', timeout=5)"]
interval: 30s
timeout: 10s
retries: 3
start_period: 45s
deploy:
resources:
limits:
cpus: '2.0'
memory: 1G
reservations:
cpus: '0.5'
memory: 512M
profiles:
- with-slm
# ============================================================
# QDRANT (Optional - Vector DB for RAG)
# ============================================================
qdrant:
image: qdrant/qdrant:v1.12.1
container_name: flai-qdrant
volumes:
- qdrant_data:/qdrant/storage
environment:
- QDRANT__SERVICE__API_KEY=${QDRANT_API_KEY}
- QDRANT__SERVICE__ENABLE_TLS=0
networks:
- flai_network
restart: unless-stopped
healthcheck:
test: ["CMD-SHELL", "bash -c 'echo > /dev/tcp/localhost/6333' || exit 1"]
interval: 30s
timeout: 10s
retries: 3
start_period: 30s
deploy:
resources:
limits:
cpus: '2.0'
memory: 1G
reservations:
cpus: '0.5'
memory: 512M
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"
profiles:
- with-rag
# ============================================================
# POSTGRESQL (Required - Application DB)
# ============================================================
postgres:
image: postgres:18-alpine
container_name: flai-postgres
volumes:
- postgres_data:/var/lib/postgresql
environment:
- POSTGRES_USER=${POSTGRES_USER:-flai}
- POSTGRES_PASSWORD=${POSTGRES_PASSWORD:-flai_password}
- POSTGRES_DB=${POSTGRES_DB:-flai}
networks:
- flai_network
restart: unless-stopped
healthcheck:
test: ["CMD-SHELL", "pg_isready -U flai"]
interval: 30s
timeout: 10s
retries: 3
start_period: 30s
deploy:
resources:
limits:
cpus: '2.0'
memory: 1G
reservations:
cpus: '0.5'
memory: 256M
networks:
flai_network:
name: flai_network
driver: bridge
volumes:
redis_data:
postgres_data:
qdrant_data:
slm_data: