mirror of
https://github.com/run-llama/llama_deploy.git
synced 2026-07-01 21:04:00 -04:00
61 lines
1.4 KiB
YAML
61 lines
1.4 KiB
YAML
services:
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qdrant:
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# Used by the RAG workflow
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image: qdrant/qdrant:latest
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ports:
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- "6333:6333"
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- "6334:6334"
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volumes:
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- qdrant_data:/qdrant/storage
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apiserver:
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# LlamaDeploy API server, will run the workflows
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image: llamaindex/llama-deploy:main
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environment:
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QDRANT_HOST: qdrant
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OPENAI_API_KEY: $OPENAI_API_KEY
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ports:
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- "4501:4501"
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depends_on:
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redis:
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condition: service_healthy
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healthcheck:
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test: llamactl status
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interval: 5s
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timeout: 3s
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retries: 5
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volumes:
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- ./:/opt/app
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working_dir: /opt/app
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deploy_workflows:
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# Init container, it deploys python_fullstack.yaml and exits
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image: llamaindex/llama-deploy:main
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volumes:
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- ./python_fullstack.yaml:/opt/python_fullstack.yaml
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working_dir: /opt/
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depends_on:
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apiserver:
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condition: service_healthy
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entrypoint: llamactl -s http://apiserver:4501 -t 60 deploy python_fullstack.yaml
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frontend:
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# UI for this deployment, running at http://localhost:3000
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environment:
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APISERVER_URL: http://apiserver:4501
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DEPLOYMENT_NAME: MyDeployment
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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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- "3000:3000"
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- "9000:9000"
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volumes:
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- ./frontend:/app
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depends_on:
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deploy_workflows:
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condition: service_completed_successfully
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volumes:
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qdrant_data:
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