问HN：人工智能代理是否在过载你的后端API？
AI代理的行为与人类用户截然不同。单个代理任务可能会触发50多个级联的API调用、重试失败，并根据结果进行递归。
- 不受控制的扩展（一个目标 → 50个并行请求）
- 传统的SOAP/XML响应消耗超过5000个令牌
- 无法将代理请求分组为逻辑上的“目标”
- 为人类设计的速率限制器在代理突发请求时失效
这实际上是您面临的问题吗？在生产环境中这种情况有多普遍？还是因为大多数AI代理仍处于试点或测试阶段，所以我没有看到这个问题的普遍性？
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AI agents behave very differently from human users. A single agent task can trigger 50+ cascading API calls, retry failures, and recurse based on results.<p>- Uncontrolled fan-out (one goal → 50 parallel requests)
- Legacy SOAP/XML responses eating 5000+ tokens
- No way to group agent requests into logical "goals"
- Rate limiters built for humans failing on agent bursts<p>Is this actually a problem you're facing? How common is this in production? or i'm not seeing this problem common because most of the AI agent still not in production and just in pilot or testing phase?