ai_approver
139a038505
MCP server exposing local Ollama models via LiteLLM proxy to Claude Code. Tools: query_local_model, review_code, summarize, generate_boilerplate, list_models. Deployed to k8s ai-inference namespace via ArgoCD. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
66 lines
1.9 KiB
YAML
66 lines
1.9 KiB
YAML
name: Build and Deploy
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on:
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push:
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branches:
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- main
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pull_request:
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branches:
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- main
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jobs:
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build-push:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout code
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uses: actions/checkout@v3
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- name: Build and push Docker image
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run: |
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docker login registry.storedbox.net \
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-u ${{ secrets.DOCKER_USER }} \
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-p ${{ secrets.DOCKER_PASSWORD }}
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docker build -t registry.storedbox.net/ollama-mcp:${{ github.sha }} .
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docker tag registry.storedbox.net/ollama-mcp:${{ github.sha }} \
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registry.storedbox.net/ollama-mcp:latest
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docker push registry.storedbox.net/ollama-mcp:${{ github.sha }}
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docker push registry.storedbox.net/ollama-mcp:latest
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deploy:
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runs-on: ubuntu-latest
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needs: build-push
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if: github.ref == 'refs/heads/main'
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steps:
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- name: Checkout code
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uses: actions/checkout@v3
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- name: Set up kubectl
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uses: azure/setup-kubectl@v3
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- name: Configure kubectl
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run: |
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echo "${{ secrets.KUBE_CONFIG }}" > kubeconfig
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export KUBECONFIG=kubeconfig
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- name: Apply k8s manifests
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run: |
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kubectl apply -f k8s/deployment.yaml --kubeconfig=kubeconfig
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- name: Rollout restart to pull latest image
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run: |
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kubectl rollout restart deployment/ollama-mcp \
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-n ai-inference --kubeconfig=kubeconfig
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kubectl rollout status deployment/ollama-mcp \
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-n ai-inference --kubeconfig=kubeconfig --timeout=120s
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- name: Health check
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run: |
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sleep 10
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MCP_IP=$(kubectl get svc ollama-mcp -n ai-inference \
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-o jsonpath='{.status.loadBalancer.ingress[0].ip}' \
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--kubeconfig=kubeconfig)
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curl -f http://${MCP_IP}:8090/health || exit 1
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echo "MCP server healthy at http://${MCP_IP}:8090"
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