社区实战：自建 AI Routing Proxy + Dashboard 给 OpenClaw 做流量治理
问题/场景：多模型/多提供方调用成本与稳定性难以观测。前置条件：可自托管代理服务，且有 OpenClaw 网关配置权限。实施步骤：1) 部署路由代理并接入指标面板；2) 定义路由策略（成本优先/质量优先）；3) 在 OpenClaw 中切换到代理端点；4) 做失败回退与限流策略；5) 监控成本/延迟并每周调参。关键命令：`openclaw gateway status`、`openclaw gateway restart`。验证方法：请求成功率上升，成本/延迟曲线可视化。风险与边界：代理层新增单点故障，需高可用与告警。来源归因：Reddit 讨论 + OpenClaw 官方文档交叉整理。
REDDITDiscovered 2026-03-02Author u/Malek262
Prerequisites
- Self-hosted proxy service can be deployed with TLS and access controls.
- Operator can modify OpenClaw provider endpoint settings and restart gateway.
Steps
- Deploy the routing proxy and enable dashboard metrics (latency, error rate, token usage).
- Create explicit routing rules: fallback chain, retry policy, and cost guardrails.
- Update OpenClaw model/provider endpoint to route through the proxy.
- Run controlled load tests and verify fallback triggers under provider failure simulation.
- Review weekly dashboard trends and adjust routing weights.
Commands
openclaw gateway statusopenclaw gateway restartopenclaw helpVerify
Dashboard shows routed traffic with stable error budget and OpenClaw requests keep passing during a simulated provider outage.
Caveats
- Proxy misconfiguration can break all upstream access; keep direct endpoint rollback ready.
- Auth header forwarding behavior differs by proxy stack（需验证）.
Source attribution
This tip is aggregated from community/public sources and preserved with attribution.
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