mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-08-01 16:24:44 +00:00
99 lines
3 KiB
Text
99 lines
3 KiB
Text
apiVersion: v1
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kind: PersistentVolumeClaim
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metadata:
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name: llama-pvc
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spec:
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accessModes:
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- ReadWriteOnce
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resources:
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requests:
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storage: 1Gi
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---
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: llama-stack-server
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spec:
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replicas: 1
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selector:
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matchLabels:
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app.kubernetes.io/name: llama-stack
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app.kubernetes.io/component: server
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template:
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metadata:
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labels:
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app.kubernetes.io/name: llama-stack
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app.kubernetes.io/component: server
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spec:
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initContainers:
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- name: wait-for-vllm-server
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image: busybox:1.28
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command: ['sh', '-c', 'until nc -z vllm-server.default.svc.cluster.local 8001; do echo waiting for vllm-server on port 8001; sleep 2; done;']
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- name: wait-for-llm-nim-code
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image: busybox:1.28
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command: ['sh', '-c', 'until nc -z llm-nim-code.default.svc.cluster.local 8000; do echo waiting for llm-nim-code on port 8000; sleep 2; done;']
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containers:
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- name: llama-stack
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image: llamastack/distribution-starter:0.2.15
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resources:
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requests:
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memory: "512Mi"
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cpu: "500m"
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ephemeral-storage: "6Gi"
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limits:
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memory: "1Gi"
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cpu: "1000m"
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ephemeral-storage: "6Gi"
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env:
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- name: ENABLE_CHROMADB
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value: "true"
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- name: CHROMADB_URL
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value: http://chromadb.default.svc.cluster.local:6000
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- name: VLLM_URL
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value: http://vllm-server.default.svc.cluster.local:8001/v1
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- name: VLLM_MAX_TOKENS
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value: "3072"
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- name: NVIDIA_BASE_URL
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value: http://llm-nim-code.default.svc.cluster.local:8000
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- name: POSTGRES_HOST
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value: postgres-server.default.svc.cluster.local
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- name: POSTGRES_PORT
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value: "5432"
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- name: VLLM_TLS_VERIFY
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value: "false"
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- name: INFERENCE_MODEL
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value: "${INFERENCE_MODEL}"
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- name: CODE_MODEL
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value: "${CODE_MODEL}"
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- name: TAVILY_SEARCH_API_KEY
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value: "${TAVILY_SEARCH_API_KEY}"
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command: ["/bin/sh"]
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args:
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- -c
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- |
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# Install pip and git
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/usr/local/bin/python -m pip install --upgrade pip
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apt-get update && apt-get install -y git
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# Clone the repository
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git clone https://github.com/meta-llama/llama-stack.git /app
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git checkout k8s_demo
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cd /app/llama_stack/
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# Install llama-stack
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pip install -e .
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# Run the llama-stack server
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python -m llama_stack.distribution.server.server --config /etc/config/stack_run_config.yaml --port 8321
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ports:
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- containerPort: 8321
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volumeMounts:
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- name: llama-storage
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mountPath: /root/.llama
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- name: llama-config
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mountPath: /etc/config
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volumes:
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- name: llama-storage
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persistentVolumeClaim:
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claimName: llama-pvc
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- name: llama-config
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configMap:
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name: llama-stack-config
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