OpenClawとCI/CD連携 - 開発ワークフロー自動化の実践ガイド【2026年版】

Tech Trends AI
- 6 minutes read - 1148 wordsはじめに
モダンな開発環境において、継続的インテグレーション・継続的デプロイメント(CI/CD)は必須の要素となっています。OpenClawをCI/CDパイプラインに組み込むことで、AI駆動型の自動化された開発ワークフローを実現できます。
本記事では、OpenClawとCI/CD連携の実践的な手法について詳しく解説します。
OpenClawとCI/CD連携のメリット
1. 自動化レベルの向上
# GitHub Actions with OpenClaw
name: OpenClaw CI/CD Pipeline
on:
push:
branches: [main, develop]
pull_request:
branches: [main]
jobs:
openclaw-analysis:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: OpenClaw Code Analysis
run: |
openclaw analyze --path . --output report.json
openclaw optimize --suggestions --auto-apply
2. 品質保証の強化
OpenClawによる自動コードレビューと品質チェック:
# OpenClawコード品質チェック
openclaw quality-check \
--threshold 8.5 \
--metrics complexity,maintainability,security \
--fail-on-warning
GitHub Actionsとの連携
基本的なワークフロー設定
# .github/workflows/openclaw-ci.yml
name: OpenClaw Integration
on:
workflow_dispatch:
push:
paths:
- 'src/**'
- '*.py'
- '*.js'
env:
OPENCLAW_API_KEY: ${{ secrets.OPENCLAW_API_KEY }}
NODE_VERSION: '20'
jobs:
pre-commit-analysis:
name: Pre-commit Analysis
runs-on: ubuntu-latest
steps:
- name: Checkout Repository
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Setup OpenClaw Environment
uses: ./.github/actions/setup-openclaw
with:
version: 'latest'
- name: Run OpenClaw Analysis
id: analysis
run: |
openclaw scan \
--format github-actions \
--output analysis-results.json \
--include-suggestions
- name: Generate Report
run: |
openclaw report \
--input analysis-results.json \
--format markdown \
--output openclaw-report.md
- name: Upload Analysis Results
uses: actions/upload-artifact@v4
with:
name: openclaw-analysis
path: |
analysis-results.json
openclaw-report.md
automated-optimization:
name: Automated Code Optimization
needs: pre-commit-analysis
runs-on: ubuntu-latest
if: github.event_name == 'push'
steps:
- name: Download Analysis Results
uses: actions/download-artifact@v4
with:
name: openclaw-analysis
- name: Apply Optimizations
run: |
openclaw optimize \
--input analysis-results.json \
--auto-apply \
--safe-only
- name: Create Pull Request
if: steps.optimization.outputs.changes == 'true'
uses: peter-evans/create-pull-request@v5
with:
title: 'OpenClaw: Automated Code Optimizations'
body: |
## OpenClaw Automated Optimizations
This PR contains automated optimizations suggested by OpenClaw:
- Performance improvements
- Code style fixes
- Security enhancements
Review the changes and merge if appropriate.
branch: openclaw/optimizations
カスタムアクション作成
# .github/actions/setup-openclaw/action.yml
name: 'Setup OpenClaw'
description: 'Setup OpenClaw environment for CI/CD'
inputs:
version:
description: 'OpenClaw version'
required: false
default: 'latest'
config-path:
description: 'Path to OpenClaw config'
required: false
default: '.openclaw.yml'
runs:
using: 'composite'
steps:
- name: Install OpenClaw
shell: bash
run: |
curl -fsSL https://install.openclaw.ai/install.sh | sh
openclaw version
- name: Configure OpenClaw
shell: bash
run: |
openclaw config set \
--api-key "${{ inputs.api-key }}" \
--config "${{ inputs.config-path }}"
Jenkinsパイプライン統合
Jenkinsfile設定
pipeline {
agent any
environment {
OPENCLAW_API_KEY = credentials('openclaw-api-key')
DOCKER_REGISTRY = 'your-registry.com'
IMAGE_NAME = 'your-app'
}
stages {
stage('Checkout') {
steps {
checkout scm
script {
env.GIT_COMMIT_SHORT = sh(
script: 'git rev-parse --short HEAD',
returnStdout: true
).trim()
}
}
}
stage('OpenClaw Analysis') {
steps {
script {
sh '''
openclaw analyze \
--path . \
--output analysis.json \
--format jenkins
'''
def analysisResults = readJSON file: 'analysis.json'
if (analysisResults.quality_score < 7.0) {
error("Code quality below threshold: ${analysisResults.quality_score}")
}
// Set build description
currentBuild.description = "Quality Score: ${analysisResults.quality_score}"
}
}
}
stage('Build and Test') {
parallel {
stage('Build Application') {
steps {
sh '''
docker build \
-t ${DOCKER_REGISTRY}/${IMAGE_NAME}:${GIT_COMMIT_SHORT} \
--build-arg OPENCLAW_OPTIMIZED=true \
.
'''
}
}
stage('OpenClaw Testing') {
steps {
sh '''
openclaw test \
--coverage \
--performance \
--security-scan
'''
publishHTML([
allowMissing: false,
alwaysLinkToLastBuild: true,
keepAll: true,
reportDir: 'openclaw-reports',
reportFiles: 'index.html',
reportName: 'OpenClaw Test Report'
])
}
}
}
}
stage('Deploy to Staging') {
when {
branch 'develop'
}
steps {
script {
sh '''
openclaw deploy \
--environment staging \
--image ${DOCKER_REGISTRY}/${IMAGE_NAME}:${GIT_COMMIT_SHORT} \
--health-check
'''
// Post-deployment validation
sh '''
openclaw validate \
--endpoint https://staging.yourapp.com \
--performance-test \
--timeout 300
'''
}
}
}
stage('Production Deploy') {
when {
branch 'main'
}
steps {
script {
// Manual approval for production
input message: 'Deploy to Production?',
parameters: [
choice(choices: ['Deploy', 'Cancel'],
description: 'Proceed with production deployment?',
name: 'ACTION')
]
sh '''
openclaw deploy \
--environment production \
--image ${DOCKER_REGISTRY}/${IMAGE_NAME}:${GIT_COMMIT_SHORT} \
--rolling-update \
--health-check
'''
}
}
}
}
post {
always {
archiveArtifacts artifacts: 'openclaw-reports/**/*', fingerprint: true
publishTestResults testResultsPattern: 'openclaw-reports/junit/*.xml'
}
failure {
script {
sh '''
openclaw notify \
--channel slack \
--webhook "${SLACK_WEBHOOK}" \
--message "Build failed: ${BUILD_URL}"
'''
}
}
success {
script {
sh '''
openclaw analytics \
--build-success \
--duration ${BUILD_DURATION} \
--quality-score ${QUALITY_SCORE}
'''
}
}
}
}
Docker統合パターン
マルチステージDockerfile
# Dockerfile with OpenClaw integration
FROM node:20-alpine AS openclaw-analyzer
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
# OpenClaw analysis stage
COPY . .
RUN npx openclaw analyze --output analysis.json
RUN npx openclaw optimize --apply --safe-only
FROM node:20-alpine AS builder
WORKDIR /app
# Copy optimized code from analyzer stage
COPY --from=openclaw-analyzer /app .
RUN npm run build
RUN npm run test
FROM nginx:alpine AS production
COPY --from=builder /app/dist /usr/share/nginx/html
COPY nginx.conf /etc/nginx/nginx.conf
# Add OpenClaw monitoring
RUN apk add --no-cache curl
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
CMD curl -f http://localhost/health || exit 1
EXPOSE 80
Docker Composeでの開発環境
# docker-compose.development.yml
version: '3.8'
services:
app:
build:
context: .
dockerfile: Dockerfile.dev
args:
- OPENCLAW_ENABLED=true
volumes:
- ./src:/app/src
- openclaw-cache:/app/.openclaw
environment:
- OPENCLAW_API_KEY=${OPENCLAW_API_KEY}
- NODE_ENV=development
ports:
- "3000:3000"
depends_on:
- openclaw-server
openclaw-server:
image: openclaw/server:latest
environment:
- REDIS_URL=redis://redis:6379
- POSTGRES_URL=postgresql://postgres:password@postgres:5432/openclaw
ports:
- "8080:8080"
depends_on:
- redis
- postgres
redis:
image: redis:7-alpine
ports:
- "6379:6379"
postgres:
image: postgres:15
environment:
- POSTGRES_DB=openclaw
- POSTGRES_USER=postgres
- POSTGRES_PASSWORD=password
volumes:
- postgres_data:/var/lib/postgresql/data
openclaw-dashboard:
image: openclaw/dashboard:latest
ports:
- "9000:9000"
environment:
- OPENCLAW_API_URL=http://openclaw-server:8080
depends_on:
- openclaw-server
volumes:
openclaw-cache:
postgres_data:
設定ファイルとベストプラクティス
OpenClaw CI/CD設定
# .openclaw-ci.yml
version: "1.0"
analysis:
enabled: true
parallel: true
cache: true
rules:
- performance
- security
- maintainability
- style
thresholds:
quality_score: 7.5
security_score: 8.0
performance_score: 7.0
optimization:
auto_apply: false
safe_only: true
categories:
- imports
- unused_variables
- performance
- style
testing:
enabled: true
coverage_threshold: 80
performance_budget:
bundle_size: "500KB"
load_time: "2s"
deployment:
stages:
staging:
health_check: true
rollback_on_failure: true
timeout: 300
production:
approval_required: true
canary_deployment: true
rollback_on_failure: true
timeout: 600
notifications:
slack:
webhook_url: "${SLACK_WEBHOOK_URL}"
channels:
- "#dev-alerts"
- "#deployments"
email:
enabled: true
recipients:
- "dev-team@company.com"
monitoring:
metrics:
- build_duration
- quality_scores
- deployment_frequency
- failure_rate
dashboard_url: "https://openclaw.company.com/dashboard"
環境変数管理
# .env.ci
OPENCLAW_API_KEY=your_api_key_here
OPENCLAW_ORG_ID=your_organization_id
OPENCLAW_PROJECT_ID=your_project_id
# GitHub Actions Secrets
OPENCLAW_API_KEY
SLACK_WEBHOOK_URL
DOCKER_REGISTRY_TOKEN
STAGING_DEPLOY_KEY
PRODUCTION_DEPLOY_KEY
# Jenkins Credentials
openclaw-api-key
slack-webhook
docker-registry-credentials
監視とログ設定
Prometheusメトリクス統合
# prometheus-config.yml
global:
scrape_interval: 15s
scrape_configs:
- job_name: 'openclaw-ci'
static_configs:
- targets: ['localhost:9090']
metrics_path: /api/metrics
headers:
Authorization: ['Bearer ${OPENCLAW_API_KEY}']
- job_name: 'github-actions'
github_sd_configs:
- api_url: https://api.github.com
repositories:
- your-org/your-repo
bearer_token: ${GITHUB_TOKEN}
rule_files:
- "openclaw_rules.yml"
alerting:
alertmanagers:
- static_configs:
- targets:
- alertmanager:9093
Grafanaダッシュボード
{
"dashboard": {
"title": "OpenClaw CI/CD Metrics",
"panels": [
{
"title": "Build Success Rate",
"type": "stat",
"targets": [
{
"expr": "rate(openclaw_builds_total{status=\"success\"}[5m]) / rate(openclaw_builds_total[5m])",
"legendFormat": "Success Rate"
}
]
},
{
"title": "Quality Score Trend",
"type": "timeseries",
"targets": [
{
"expr": "openclaw_quality_score",
"legendFormat": "Quality Score"
}
]
}
]
}
}
トラブルシューティング
一般的な問題と対策
- API制限の回避
# レート制限対策
openclaw config set rate_limit.requests_per_minute 30
openclaw config set rate_limit.burst_size 10
- メモリ使用量の最適化
# 大規模プロジェクト対応
openclaw analyze --max-memory 4GB --parallel 4
- キャッシュ問題の解決
# キャッシュクリア
openclaw cache clear --all
openclaw config reload
セキュリティ考慮事項
APIキー管理
# GitHub Actions Secrets設定
gh secret set OPENCLAW_API_KEY --body "your_api_key"
# Jenkins Credentials設定
jenkins-cli.jar create-credentials-by-xml system::system::jenkins \
< openclaw-credentials.xml
ネットワークセキュリティ
# Network Policy (Kubernetes)
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: openclaw-ci-policy
spec:
podSelector:
matchLabels:
app: openclaw-ci
policyTypes:
- Ingress
- Egress
ingress:
- from:
- namespaceSelector:
matchLabels:
name: ci-cd
ports:
- protocol: TCP
port: 8080
egress:
- to:
- namespaceSelector:
matchLabels:
name: openclaw
ports:
- protocol: TCP
port: 443
まとめ
OpenClawとCI/CDの連携により、以下のメリットを得られます:
- 自動化の向上: コード品質チェックから最適化まで自動実行
- 品質保証: 継続的な品質監視と改善
- 効率性: 手動作業の削減と高速なフィードバック
- 安全性: 段階的デプロイメントとロールバック機能
継続的な改善を行いながら、プロジェクトに最適なCI/CD パイプラインを構築することで、開発チームの生産性を大幅に向上させることができます。
次回は、OpenClawのエンタープライズレベルでの運用について詳しく解説予定です。