OpenEvidence Deploy Integration

OpenEvidence Deploy Integration

Overview

Deploy OpenEvidence clinical AI integrations to production healthcare environments with proper security, compliance, and rollback capabilities.

Prerequisites

• CI pipeline configured (see openevidence-ci-integration)
• Production credentials from OpenEvidence
• Cloud platform configured (GCP, AWS, Azure)
• Signed BAA for production environment

Instructions

Step 1: Multi-Environment Configuration

// src/​config/​environments.ts
interface OpenEvidenceEnvConfig {
  baseUrl: string;
  timeout: number;
  retries: number;
  secretPath: string;
  features: {
    deepConsult: boolean;
    webhooks: boolean;
    caching: boolean;
  };
}

export const environments: Record<string, OpenEvidenceEnvConfig> = {
  development: {
    baseUrl: 'https://api.sandbox.openevidence.com',
    timeout: 60000,
    retries: 1,
    secretPath: 'local', // Uses .env
    features: {
      deepConsult: true,
      webhooks: false,
      caching: false,
    },
  },
  staging: {
    baseUrl: 'https://api.sandbox.openevidence.com',
    timeout: 45000,
    retries: 2,
    secretPath: 'projects/​staging/​secrets/​openevidence',
    features: {
      deepConsult: true,
      webhooks: true,
      caching: true,
    },
  },
  production: {
    baseUrl: 'https://api.openevidence.com',
    timeout: 30000,
    retries: 3,
    secretPath: 'projects/​production/​secrets/​openevidence',
    features: {
      deepConsult: true,
      webhooks: true,
      caching: true,
    },
  },
};

export function getConfig(): OpenEvidenceEnvConfig {
  const env = process.env.NODE_ENV || 'development';
  return environments[env] || environments.development;
}

Step 2: GitHub Actions Deployment Workflow

# .github/​workflows/​deploy.yml
name: Deploy OpenEvidence Integration

on:
  push:
    branches: [main]
    tags: ['v*']
  workflow_dispatch:
    inputs:
      environment:
        description: 'Deployment environment'
        required: true
        default: 'staging'
        type: choice
        options:
          - staging
          - production

env:
  PROJECT_ID: ${{ secrets.GCP_PROJECT_ID }}
  SERVICE_NAME: clinical-evidence-api
  REGION: us-central1

jobs:
  test:
    uses: ./​.github/​workflows/​openevidence-ci.yml
    secrets: inherit

  build:
    needs: test
    runs-on: ubuntu-latest
    outputs:
      image: ${{ steps.build.outputs.image }}
    steps:
      - uses: actions/​checkout@v4

      - name: Setup Cloud SDK
        uses: google-github-actions/​setup-gcloud@v2
        with:
          project_id: ${{ env.PROJECT_ID }}

      - name: Configure Docker
        run: gcloud auth configure-docker ${{ env.REGION }}-docker.pkg.dev

      - name: Build and push
        id: build
        run: |
          IMAGE="${{ env.REGION }}-docker.pkg.dev/​${{ env.PROJECT_ID }}/​images/​${{ env.SERVICE_NAME }}:${{ github.sha }}"
          docker build -t $IMAGE .
          docker push $IMAGE
          echo "image=$IMAGE" >> $GITHUB_OUTPUT

  deploy-staging:
    needs: build
    runs-on: ubuntu-latest
    environment: staging
    if: github.ref == 'refs/​heads/​main'
    steps:
      - uses: actions/​checkout@v4

      - name: Setup Cloud SDK
        uses: google-github-actions/​setup-gcloud@v2
        with:
          project_id: ${{ env.PROJECT_ID }}

      - name: Deploy to Cloud Run (Staging)
        run: |
          gcloud run deploy ${{ env.SERVICE_NAME }}-staging \
            --image ${{ needs.build.outputs.image }} \
            --region ${{ env.REGION }} \
            --set-env-vars NODE_ENV=staging \
            --set-secrets OPENEVIDENCE_API_KEY=openevidence-staging-api-key:latest \
            --set-secrets OPENEVIDENCE_ORG_ID=openevidence-staging-org-id:latest \
            --min-instances 1 \
            --max-instances 10 \
            --memory 512Mi \
            --cpu 1 \
            --timeout 60s \
            --allow-unauthenticated=false

      - name: Run smoke tests
        env:
          STAGING_URL: ${{ secrets.STAGING_URL }}
          STAGING_TOKEN: ${{ secrets.STAGING_TOKEN }}
        run: |
          curl -sf -H "Authorization: Bearer $STAGING_TOKEN" \
            "$STAGING_URL/​health/​openevidence" | jq .

  deploy-production:
    needs: [build, deploy-staging]
    runs-on: ubuntu-latest
    environment: production
    if: startsWith(github.ref, 'refs/​tags/​v')
    steps:
      - uses: actions/​checkout@v4

      - name: Setup Cloud SDK
        uses: google-github-actions/​setup-gcloud@v2
        with:
          project_id: ${{ env.PROJECT_ID }}

      - name: Deploy to Cloud Run (Production) - Canary
        run: |
          # Deploy new revision with no traffic
          gcloud run deploy ${{ env.SERVICE_NAME }} \
            --image ${{ needs.build.outputs.image }} \
            --region ${{ env.REGION }} \
            --set-env-vars NODE_ENV=production \
            --set-secrets OPENEVIDENCE_API_KEY=openevidence-prod-api-key:latest \
            --set-secrets OPENEVIDENCE_ORG_ID=openevidence-prod-org-id:latest \
            --min-instances 2 \
            --max-instances 50 \
            --memory 1Gi \
            --cpu 2 \
            --timeout 30s \
            --no-traffic

      - name: Canary rollout - 10%
        run: |
          gcloud run services update-traffic ${{ env.SERVICE_NAME }} \
            --region ${{ env.REGION }} \
            --to-revisions LATEST=10

      - name: Monitor canary (5 minutes)
        run: |
          echo "Monitoring canary deployment..."
          sleep 300

          # Check error rate
          ERROR_RATE=$(gcloud logging read \
            "resource.type=cloud_run_revision severity>=ERROR" \
            --limit 100 --format json | jq length)

          if [ "$ERROR_RATE" -gt 5 ]; then
            echo "High error rate detected: $ERROR_RATE"
            exit 1
          fi

      - name: Full rollout
        run: |
          gcloud run services update-traffic ${{ env.SERVICE_NAME }} \
            --region ${{ env.REGION }} \
            --to-latest

      - name: Create release
        uses: softprops/​action-gh-release@v1
        with:
          generate_release_notes: true

Step 3: Kubernetes Deployment

# k8s/​openevidence-deployment.yaml
apiVersion: apps/​v1
kind: Deployment
metadata:
  name: clinical-evidence-api
  labels:
    app: clinical-evidence-api
spec:
  replicas: 3
  selector:
    matchLabels:
      app: clinical-evidence-api
  template:
    metadata:
      labels:
        app: clinical-evidence-api
    spec:
      serviceAccountName: clinical-evidence-api
      containers:
        - name: api
          image: gcr.io/​PROJECT_ID/​clinical-evidence-api:VERSION
          ports:
            - containerPort: 8080
          env:
            - name: NODE_ENV
              value: production
            - name: OPENEVIDENCE_API_KEY
              valueFrom:
                secretKeyRef:
                  name: openevidence-secrets
                  key: api-key
            - name: OPENEVIDENCE_ORG_ID
              valueFrom:
                secretKeyRef:
                  name: openevidence-secrets
                  key: org-id
          resources:
            requests:
              memory: "512Mi"
              cpu: "500m"
            limits:
              memory: "1Gi"
              cpu: "1000m"
          livenessProbe:
            httpGet:
              path: /​health
              port: 8080
            initialDelaySeconds: 10
            periodSeconds: 30
          readinessProbe:
            httpGet:
              path: /​health/​openevidence
              port: 8080
            initialDelaySeconds: 5
            periodSeconds: 10
---
apiVersion: v1
kind: Service
metadata:
  name: clinical-evidence-api
spec:
  selector:
    app: clinical-evidence-api
  ports:
    - port: 80
      targetPort: 8080
  type: ClusterIP
---
apiVersion: networking.k8s.io/​v1
kind: Ingress
metadata:
  name: clinical-evidence-api
  annotations:
    kubernetes.io/​ingress.class: nginx
    cert-manager.io/​cluster-issuer: letsencrypt-prod
spec:
  tls:
    - hosts:
        - api.yourhealthcare.com
      secretName: api-tls
  rules:
    - host: api.yourhealthcare.com
      http:
        paths:
          - path: /​clinical
            pathType: Prefix
            backend:
              service:
                name: clinical-evidence-api
                port:
                  number: 80

Step 4: Health Check Endpoint

// src/​routes/​health.ts
import { Router } from 'express';
import { OpenEvidenceClient } from '@openevidence/​sdk';
import { getConfig } from '../​config/​environments';

const router = Router();

router.get('/​health', (req, res) => {
  res.json({
    status: 'healthy',
    timestamp: new Date().toISOString(),
    version: process.env.npm_package_version,
  });
});

router.get('/​health/​openevidence', async (req, res) => {
  const startTime = Date.now();

  try {
    const client = new OpenEvidenceClient({
      apiKey: process.env.OPENEVIDENCE_API_KEY!,
      orgId: process.env.OPENEVIDENCE_ORG_ID!,
      baseUrl: getConfig().baseUrl,
    });

    await client.health.check();

    res.json({
      status: 'healthy',
      latencyMs: Date.now() - startTime,
      environment: process.env.NODE_ENV,
      baseUrl: getConfig().baseUrl,
    });
  } catch (error: any) {
    res.status(503).json({
      status: 'unhealthy',
      latencyMs: Date.now() - startTime,
      error: error.message,
    });
  }
});

export default router;

Step 5: Rollback Procedure

#!/​bin/​bash
# scripts/​rollback.sh

set -e

SERVICE_NAME="clinical-evidence-api"
REGION="us-central1"

echo "=== OpenEvidence Integration Rollback ==="

# List recent revisions
echo "Recent revisions:"
gcloud run revisions list --service $SERVICE_NAME --region $REGION --limit 5

# Get previous revision
CURRENT=$(gcloud run services describe $SERVICE_NAME --region $REGION \
  --format 'value(status.traffic[0].revisionName)')
PREVIOUS=$(gcloud run revisions list --service $SERVICE_NAME --region $REGION \
  --format 'value(metadata.name)' --limit 2 | tail -1)

echo "Current: $CURRENT"
echo "Rolling back to: $PREVIOUS"

read -p "Proceed with rollback? (y/​n) " -n 1 -r
echo
if [[ $REPLY =~ ^[Yy]$ ]]; then
  gcloud run services update-traffic $SERVICE_NAME \
    --region $REGION \
    --to-revisions $PREVIOUS=100

  echo "Rollback complete. Monitoring..."
  sleep 30

  # Verify health
  gcloud run services describe $SERVICE_NAME --region $REGION \
    --format 'value(status.url)' | xargs -I {} curl -sf {}/​health/​openevidence
fi

Output

• Multi-environment deployment configuration
• CI/​CD pipeline with canary releases
• Kubernetes deployment manifests
• Health check endpoints
• Rollback procedures

Deployment Checklist

• Staging environment tested
• Production secrets configured
• Health checks passing
• Monitoring alerts configured
• Rollback procedure tested
• On-call notified of deployment
• Clinical team notified of changes

Error Handling

Resources

• Cloud Run Documentation
• Kubernetes Deployments

Next Steps

For webhook configuration, see openevidence-webhooks-events.