Files
llama_deploy/examples/python_fullstack/docker-compose.yml
T
2025-06-19 09:41:38 +02:00

61 lines
1.4 KiB
YAML

services:
qdrant:
# Used by the RAG workflow
image: qdrant/qdrant:latest
ports:
- "6333:6333"
- "6334:6334"
volumes:
- qdrant_data:/qdrant/storage
apiserver:
# LlamaDeploy API server, will run the workflows
image: llamaindex/llama-deploy:main
environment:
QDRANT_HOST: qdrant
OPENAI_API_KEY: $OPENAI_API_KEY
ports:
- "4501:4501"
depends_on:
redis:
condition: service_healthy
healthcheck:
test: llamactl status
interval: 5s
timeout: 3s
retries: 5
volumes:
- ./:/opt/app
working_dir: /opt/app
deploy_workflows:
# Init container, it deploys python_fullstack.yaml and exits
image: llamaindex/llama-deploy:main
volumes:
- ./python_fullstack.yaml:/opt/python_fullstack.yaml
working_dir: /opt/
depends_on:
apiserver:
condition: service_healthy
entrypoint: llamactl -s http://apiserver:4501 -t 60 deploy python_fullstack.yaml
frontend:
# UI for this deployment, running at http://localhost:3000
environment:
APISERVER_URL: http://apiserver:4501
DEPLOYMENT_NAME: MyDeployment
build:
context: ./frontend
dockerfile: dockerfile
ports:
- "3000:3000"
- "9000:9000"
volumes:
- ./frontend:/app
depends_on:
deploy_workflows:
condition: service_completed_successfully
volumes:
qdrant_data: