- conversation-assistant: ML scam detection (NestJS + Python + Swift) - platform-admin: Admin dashboard frontend scaffold - portal: Creator portal frontend scaffold - service-registry: Registry agent requirements 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
72 lines
1.7 KiB
YAML
72 lines
1.7 KiB
YAML
version: '3.8'
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services:
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server:
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build:
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context: ./server
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dockerfile: Dockerfile
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ports:
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- "3100:3000"
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environment:
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- NODE_ENV=production
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- DATABASE_HOST=${DATABASE_HOST:-10.9.0.1}
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- DATABASE_PORT=${DATABASE_PORT:-5432}
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- DATABASE_USER=${DATABASE_USER:-postgres}
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- DATABASE_PASSWORD=${DATABASE_PASSWORD}
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- DATABASE_NAME=${DATABASE_NAME:-conversation_assistant}
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- ML_SERVICE_URL=http://ml-service:8000
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- JWT_SECRET=${JWT_SECRET}
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- CORS_ORIGIN=${CORS_ORIGIN:-*}
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depends_on:
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- ml-service
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networks:
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- internal
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:3000/api/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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ml-service:
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build:
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context: ./ml-service
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dockerfile: Dockerfile
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ports:
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- "8100:8000"
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environment:
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- MODELS_DIR=/models
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- DEFAULT_MODEL_PATH=/models/lmstudio-community/Ministral-3-3B-Instruct-2512-GGUF/Ministral-3-3B-Instruct-2512-Q8_0.gguf
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volumes:
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- /var/mnt/bigdisk/_/models:/models:ro
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networks:
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- internal
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restart: unless-stopped
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: all
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capabilities: [gpu]
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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frontend:
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build:
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context: ./frontend
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dockerfile: Dockerfile
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ports:
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- "3101:80"
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environment:
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- VITE_API_URL=http://localhost:3100
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networks:
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- internal
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restart: unless-stopped
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networks:
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internal:
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driver: bridge
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