n8n 发布 API 节流与限流指南

n8n团队发布博客《Throttling vs. Rate Limiting: Backoff Strategies for Workflows》，阐述 API 节流与限流的区别并给出退避策略。 文章对固定窗口、滑动窗口、令牌桶等限流算法进行对比，并提出指数退避与抖动的实践建议。文中强调："For APIs with predictable limits, prevention is usually better than recovery."、"If the API provides a Retry-After value, respect that guidance rather than relying solely on your own schedule."、"Make sure the request is safe to repeat."、"Adding jitter is especially important when you work with AI agentic systems that use tools." 在 n8n 画布上可通过 HTTP Request 节点的批量间隔、Loop Over Items 配合 Wait 节点、Retry On Fail 退避重试、Error Trigger 错误工作流三层防线主动控流与被动兜底，帮助用户在工作流中实现主动控流与被动兜底。

AI 根据报道生成 · 1 小时前更新

还没有足够的连续观测数据，暂不绘制趋势。