How to Stop AI Agents From Running Up Your LLM Bill

A developer guide describes how runaway AI agents, such as those stuck in retry loops, can generate large LLM API bills that go unnoticed until invoices arrive. It explains that agent costs grow with the agent's own decisions, unlike traffic-driven API bills, and that provider spending limits are organization-wide and cannot distinguish customers. The article argues that common fixes like manual token counting and observability tools fall short because they report or track spending after it occurs. It recommends per-customer, per-agent budgets checked before each call, with the author promoting their tool Silvanexum for this purpose.