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AI agent stuck in a loop: how to stop and fix it

An agent repeating the same step is burning tokens. How to spot the loop, stop it, and adjust the prompt or policy so it does not return.

Updated 2026-08-22Reading time 5 min

What a loop looks like

The same tool call, the same arguments, the same failure — over and over. In the Deep Dive trace it reads as a wall of near-identical steps; in the token spend it reads as one task costing more than everything else combined.

Stop it first

  1. Cancel the run immediately — a loop is pure waste.
  2. Do not just re-run: the same prompt will loop again.
  3. Look at the repeated step and write down what the agent was trying to achieve.

The three usual causes

  • Ambiguous success: the agent cannot tell when it is done, so it keeps polishing. Fix: define “done” in the prompt.
  • A tool that fails the same way: the agent retries instead of changing approach. Fix: tell it to try a different method after two failures.
  • No stop condition: the plan is open-ended. Fix: give the task a size limit — steps, time, or token budget.

Make loops cheap when they happen

You cannot prevent every loop, so make them affordable: daily spend caps and spend alerts turn a loop into a stopped run you hear about, instead of a surprise. Related symptoms live in the timeout guide.