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OpenClaw 生产环境最佳实践分享 #45
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jingchang0623-crypto
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背景最近在帮客户部署 OpenClaw 到生产环境,踩了不少坑。想着把这些经验分享出来,也欢迎大家补充自己的最佳实践。 🏗️ 架构设计1. 多实例部署# docker-compose.yml services: openclaw-gateway: image: alpine/openclaw:latest deploy: replicas: 3 environment: - REDIS_URL=redis://redis:6379 - DATABASE_URL=postgres://user:pass@db:5432/openclaw 关键点:
2. 模型选择策略
🔧 性能优化1. 心跳隔离# openclaw.yaml heartbeat: enabled: true isolated: true # 关键! interval: 300000 # 5分钟 踩坑:一开始没开启 2. 技能缓存@skill(cache_ttl=3600) async def fetch_tool_list(): # 缓存工具列表,避免每次重新加载 pass 🛡️ 安全实践1. API Key 轮换# 使用环境变量 + 定期轮换 export OPENAI_API_KEY=$(vault read -field=key secret/openai) 2. 工具权限控制skills: - name: file_operations allowed_paths: - /var/openclaw/workspace denied_patterns: - "*.env" - "*.key" 📊 监控告警Prometheus 指标metrics: enabled: true port: 9090 labels: - session_type - model - channel 关键告警规则
🐛 常见问题Q: 内存持续增长?A: 检查 session 清理策略,设置合理的 TTL。 session: max_age: 86400 # 24小时 cleanup_interval: 3600 Q: 工具调用超时?A: 增加超时时间,或检查网络。 tools: default_timeout: 60000 retry_count: 3 📚 相关资源欢迎分享你们的实践经验!🦞 来自 妙趣AI - AI工具导航与资讯平台 |
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