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.gitmodules

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path = submodule
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[submodule "mcp-servers/ansible/submodule/mcp"]
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path = mcp-servers/ansible/submodule/mcp
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url = https://github.com/cooktheryan/mcp
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url = https://github.com/suppathak/mcp

LICENSE

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Makefile

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podman build -t streamlit_client:latest --platform="linux/amd64" -f app/src/build/Containerfile .
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run_ui:
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podman run -it -p 8501:8501 streamlit_client:latest
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podman run -it -p 8501:8501 --env LLAMA_STACK_ENDPOINT=$(LLAMA_STACK_ENDPOINT) streamlit_client:latest
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run_mcp:
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python build_mcp/mcp_tools.py
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setup_local:
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ollama run llama3.2:3b-instruct-fp16 --keepalive 160m &
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podman run -it -p 8321:8321 -v ~/.llama:/root/.llama localhost/distribution-ollama:0.1.7 --port 8321 --env INFERENCE_MODEL="meta-llama/Llama-3.2-3B-Instruct" --env OLLAMA_URL=http://host.containers.internal:11434
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podman run -it -p 8321:8321 -v ~/.llama:/root/.llama localhost/distribution-ollama:0.1.7 --port 8321 --env INFERENCE_MODEL="meta-llama/Llama-3.2-3B-Instruct" --env OLLAMA_URL=http://host.containers.internal:11434

README.md

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# Llama Stack on OCP
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## Requirements
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The following scenario requires at minimum the following:
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* OpenShift Cluster 4.17+
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* 8 GPUs free (A100 or H100)
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## Deploy
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A `kustomization.yaml` file exists to launch all required Kubernetes objects for the scenarios defined in the repository. To create run the following.
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```
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oc create project llama-serve
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oc apply -k kustomization.yaml
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```

app/src/build/Containerfile

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# More info on playground configuration can be found here:
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# https://llama-stack.readthedocs.io/en/latest/playground
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FROM registry.access.redhat.com/ubi9/python-311:latest
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WORKDIR /app
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RUN pip install --upgrade pip
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RUN pip install --no-cache-dir --upgrade streamlit
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COPY app/src/streamlit_app.py .
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RUN git clone --depth 1 --branch playground https://github.com/MichaelClifford/llama-stack.git
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RUN pip install --upgrade pip && \
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pip install /app/llama-stack && \
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pip install -r /app/llama-stack/llama_stack/distribution/ui/requirements.txt
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EXPOSE 8501
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ENTRYPOINT [ "streamlit", "run", "streamlit_app.py" ]
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ENTRYPOINT ["streamlit", "run", "/app/llama-stack/llama_stack/distribution/ui/app.py", "--server.port=8501", "--server.address=0.0.0.0"]

app/src/streamlit_app.py

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import streamlit as st
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from llama_stack_client.lib.agents.agent import Agent
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from llama_stack_client import LlamaStackClient, APIConnectionError
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from llama_stack_client import LlamaStackClient, Agent, APIConnectionError
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from dotenv import load_dotenv
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import os
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import uuid
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active_tool_list = []
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for toolgroup_id in toolgroup_selection:
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active_tool_list.extend([t.identifier for t in client.tools.list(toolgroup_id=toolgroup_id)])
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active_tool_list.extend([f"{toolgroup_id[5:]}:{t.identifier}" for t in client.tools.list(toolgroup_id=toolgroup_id)])
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st.markdown(f"Active Tools: 🛠 {len(active_tool_list)}")
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st.json(active_tool_list)

kubernetes/kustomization.yaml

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apiVersion: kustomize.config.k8s.io/v1beta1
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kind: Kustomization
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namespace: llama-serve
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resources:
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# llama-serve resources
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- llama-serve/granite-8b/chat-template.yaml
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- llama-serve/granite-8b/route.yaml
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- llama-serve/granite-8b/service.yaml
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- llama-serve/granite-8b/vllm.yaml
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- llama-serve/llama3.1-70b/chat-template.yaml
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- llama-serve/llama3.1-70b/route.yaml
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- llama-serve/llama3.1-70b/service.yaml
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- llama-serve/llama3.1-70b/vllm.yaml
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- llama-serve/llama3.2-3b/chat-template.yaml
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- llama-serve/llama3.2-3b/route.yaml
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- llama-serve/llama3.2-3b/service.yaml
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- llama-serve/llama3.2-3b/vllm.yaml
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- llama-serve/watt-8b/chat-template.yaml
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- llama-serve/watt-8b/route.yaml
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- llama-serve/watt-8b/service.yaml
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- llama-serve/watt-8b/vllm.yaml
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# llama-stack resources
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- llama-stack/configmap.yaml
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- llama-stack/deployment.yaml
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- llama-stack/pvc.yaml
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- llama-stack/route.yaml
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- llama-stack/service.yaml
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- llama-stack/template.yaml
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# safety-model resources
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- safety-model/svc.yaml
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- safety-model/vllm.yaml
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# streamlit-client resources
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- streamlit-client/deployment.yaml
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- streamlit-client/route.yaml
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- streamlit-client/service.yaml
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- streamlit-client/serviceacount.yaml
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# mcp-servers resources
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- mcp-servers/ansible-mcp
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- mcp-servers/custom-mcp
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- mcp-servers/github-mcp
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- mcp-servers/openshift-mcp

kubernetes/llama-serve/granite-8b/chat-template.yaml

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kind: ConfigMap
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apiVersion: v1
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metadata:
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name: granite-8b-template
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{%- if loop.last and add_generation_prompt %}
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{{- '<|start_of_role|>assistant<|end_of_role|>' }}
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{%- endif %}
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{%- endfor %}
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kind: ConfigMap
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metadata:
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creationTimestamp: null
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name: granite-chat
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{%- endfor %}

kubernetes/llama-serve/llama3.1-70b/vllm.yaml

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labels:
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app: llama31-70b
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spec:
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nodeSelector:
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kubernetes.io/hostname: wrk-5
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volumes:
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- name: hf-cache
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emptyDir: {}
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- --gpu-memory-utilization
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- "0.95" # Prevent OOM errors
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- --quantization
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- "fp8"
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- "fp8"
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- --max-num-batched-tokens
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- "4096" # Control memory usage
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- --enable-auto-tool-choice # Keeping your tool settings
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- --port
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- "8000"
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- --swap-space
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- "32"
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- "32"
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restartPolicy: Always
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terminationGracePeriodSeconds: 30
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dnsPolicy: ClusterFirst
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nodeSelector:
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kubernetes.io/hostname: wrk-5
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securityContext: {}
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schedulerName: default-scheduler
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strategy:
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type: RollingUpdate
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rollingUpdate:
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maxUnavailable: 25%
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maxSurge: 25%
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kubernetes/llama-serve/watt-8b/vllm.yaml

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labels:
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app: watt-8b
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spec:
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replicas: 1
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replicas: 0
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selector:
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matchLabels:
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app: watt-8b
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restartPolicy: Always
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terminationGracePeriodSeconds: 30
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dnsPolicy: ClusterFirst
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nodeSelector:
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kubernetes.io/hostname: wrk-5
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securityContext: {}
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schedulerName: default-scheduler
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strategy:
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type: RollingUpdate
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rollingUpdate:
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maxUnavailable: 25%
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maxSurge: 25%
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