5290287058
- TTS: xtts-v2 integration with voice cloning support
- Document: docling integration for PDF/DOCX/PPTX processing
- Memory Service: added /facts/upsert, /facts/{key}, /facts endpoints
- Added required dependencies (TTS, docling)
113 lines
3.1 KiB
YAML
113 lines
3.1 KiB
YAML
version: '3.8'
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services:
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# DAGI Router для NODE3
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dagi-router-node3:
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build:
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context: ./services/router
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dockerfile: Dockerfile
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container_name: dagi-router-node3
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ports:
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- "9102:9102"
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environment:
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- NATS_URL=nats://host.docker.internal:4222
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- ROUTER_CONFIG_PATH=/app/router_config.yaml
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- LOG_LEVEL=info
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- NODE_ID=node-3-threadripper-rtx3090
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extra_hosts:
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- "host.docker.internal:host-gateway"
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volumes:
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- ./services/router/router_config.yaml:/app/router_config.yaml:ro
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- ./logs:/app/logs
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networks:
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- dagi-network
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:9102/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 10s
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# Swapper Service для NODE3
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swapper-service-node3:
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build:
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context: ./services/swapper-service
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dockerfile: Dockerfile
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container_name: swapper-service-node3
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ports:
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- "8890:8890"
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- "8891:8891" # Metrics
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environment:
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- OLLAMA_BASE_URL=http://host.docker.internal:11434
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- SWAPPER_CONFIG_PATH=/app/config/swapper_config.yaml
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- SWAPPER_MODE=single-active
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- MAX_CONCURRENT_MODELS=1
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- MODEL_SWAP_TIMEOUT=300
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- GPU_ENABLED=true
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- NODE_ID=node-3-threadripper-rtx3090
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volumes:
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- ./services/swapper-service/config/swapper_config_node3.yaml:/app/config/swapper_config.yaml:ro
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- ./logs:/app/logs
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networks:
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- dagi-network
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restart: unless-stopped
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# GPU support for RTX 3090 (requires nvidia-container-toolkit)
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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: 1
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# capabilities: [gpu]
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extra_hosts:
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- "host.docker.internal:host-gateway"
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healthcheck:
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test: ["CMD-SHELL", "wget -qO- http://localhost:8890/health || exit 1"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 10s
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# Image Generation Service (FLUX.2 Klein 4B Base)
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image-gen-service:
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build:
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context: ./services/image-gen-service
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dockerfile: Dockerfile
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container_name: dagi-image-gen-node3
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ports:
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- "8892:8892"
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environment:
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- IMAGE_GEN_MODEL=${IMAGE_GEN_MODEL:-black-forest-labs/FLUX.2-klein-base-4B}
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- IMAGE_GEN_DEVICE=cuda
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- IMAGE_GEN_DTYPE=bfloat16
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- HF_HOME=/root/.cache/huggingface
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- CUDA_VISIBLE_DEVICES=0
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volumes:
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- ./logs:/app/logs
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- image-gen-cache-node3:/root/.cache/huggingface
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# GPU support for RTX 3090 (requires nvidia-container-toolkit)
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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: 1
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# capabilities: [gpu]
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networks:
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- dagi-network
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8892/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 120s
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networks:
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dagi-network:
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external: true
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volumes:
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image-gen-cache-node3:
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