Files
FabledScribe/docker-compose.yml
T
bvandeusen 226ee5b22f Change default OLLAMA_MODEL from llama3.1 to qwen3:14b
Updates the startup warm-up and fallback default to match the
currently preferred model. Instances without a user setting will
also default to qwen3:14b.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-02 22:51:42 -05:00

70 lines
2.2 KiB
YAML

services:
app:
build: .
ports:
- "5000:5000"
depends_on:
db:
condition: service_healthy
ollama:
condition: service_started
volumes:
- app_data:/data
# To use a bind mount instead (gives direct host access to all app data):
# - ./data:/data
environment:
DATABASE_URL: "postgresql+asyncpg://${POSTGRES_USER:-fabled}:${POSTGRES_PASSWORD:-fabled}@db:5432/${POSTGRES_DB:-fabledassistant}"
OLLAMA_URL: "http://ollama:11434"
OLLAMA_MODEL: "${OLLAMA_MODEL:-qwen3:14b}"
SECRET_KEY: "${SECRET_KEY:-dev-secret-change-me}"
# Uncomment and set to enable web research and image search via SearXNG:
# SEARXNG_URL: "http://searxng:8080"
# IMAGE_CACHE_DIR: /data/images # default, change if using a different mount path
# IMAGE_MAX_BYTES: "5242880" # 5 MB per image, adjust if needed
# Push notifications (VAPID keys - generate with: python -c "from py_vapid import Vapid01; v=Vapid01(); v.generate_keys(); print(v.private_key, v.public_key)")
VAPID_PRIVATE_KEY: "${VAPID_PRIVATE_KEY:-}"
VAPID_PUBLIC_KEY: "${VAPID_PUBLIC_KEY:-}"
VAPID_CLAIMS_SUB: "${VAPID_CLAIMS_SUB:-mailto:admin@fabledassistant.local}"
healthcheck:
test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:5000/api/health')"]
interval: 10s
timeout: 5s
retries: 5
start_period: 30s
db:
image: postgres:16-alpine
volumes:
- pgdata:/var/lib/postgresql/data
environment:
POSTGRES_USER: ${POSTGRES_USER:-fabled}
POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-fabled}
POSTGRES_DB: ${POSTGRES_DB:-fabledassistant}
healthcheck:
test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER:-fabled}"]
interval: 5s
timeout: 5s
retries: 5
ollama:
image: ollama/ollama
volumes:
- ollama_models:/root/.ollama
environment:
OLLAMA_MAX_LOADED_MODELS: "2"
OLLAMA_NUM_PARALLEL: "2"
OLLAMA_KEEP_ALIVE: "30m"
OLLAMA_FLASH_ATTENTION: "1"
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [gpu]
volumes:
pgdata:
ollama_models:
app_data: