AGENT SKILL

openevidence-deploy-integration

Deploy OpenEvidence integrations to healthcare production environments. Use when deploying to production, setting up staging environments, or configuring cloud deployments for clinical AI applications. Trigger with phrases like "deploy openevidence", "openevidence staging", "openevidence production deploy", "release openevidence".

使用场景运维与部署
License 许可
MIT
最近更新
2026-03-20
Stars
★ 4
Forks
0

01 前言 Front Matter

name
openevidence-deploy-integration
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
version
1.0.0
description
Deploy OpenEvidence integrations to healthcare production environments. Use when deploying to production, setting up staging environments, or configuring cloud deployments for clinical AI applications. Trigger with phrases like "deploy openevidence", "openevidence staging", "openevidence production deploy", "release openevidence".
allowed-tools
Read, Write, Edit, Bash(npm:*), Grep
compatible-with
claude-code, codex, openclaw

02 资源文件 1

03 SKILL.md 正文

OpenEvidence Deploy Integration

Table of Contents

Overview

Deploy OpenEvidence clinical AI integrations to production healthcare environments with canary releases, Kubernetes manifests, health checks, and rollback procedures.

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

Define environment configs (dev/staging/prod) with baseUrl, timeout, retries, secret paths, and feature flags.

Step 2: Create Deployment Workflow

Build GitHub Actions workflow with test -> build -> deploy-staging -> deploy-production stages. Use canary releases for production (no-traffic deploy, 10% canary, monitor, full rollout).

Step 3: Configure Kubernetes

Create Deployment (3 replicas), Service, Ingress, and HPA manifests. Use K8s secrets for API credentials, liveness/readiness probes against /health.

Step 4: Implement Health Checks

Create /health (basic) and /health/openevidence (deep) endpoints that verify API connectivity and report latency.

Step 5: Prepare Rollback

Create rollback script that lists recent revisions, identifies previous, and shifts traffic back with health verification.

Output

  • Multi-environment deployment configuration
  • CI/CD pipeline with canary releases
  • Kubernetes deployment manifests (Deployment, Service, Ingress, HPA)
  • Health check endpoints (basic + deep)
  • Rollback procedures and scripts

Error Handling

Deployment Issue Detection Resolution
Health check fails Readiness probe Rollback to previous revision
High error rate Monitoring alert Rollback, investigate logs
Secret missing Container fails to start Check secret manager
Rate limit hit 429 errors spike Scale down, check quotas

Examples

Deploy to Staging

gcloud run deploy clinical-evidence-api-staging \
  --image $IMAGE --region us-central1 \
  --set-env-vars NODE_ENV=staging \
  --set-secrets OPENEVIDENCE_API_KEY=openevidence-staging-api-key:latest

Rollback Production

gcloud run services update-traffic clinical-evidence-api \
  --region us-central1 --to-revisions PREVIOUS_REVISION=100

See detailed implementation for advanced patterns.

Resources

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