June 29, 2026
Agent Retry Storms Cost More Than You Think
Repeated tool failures can turn a cheap background workflow into a surprise bill. Track retry storms before they become normal.
Quick answer
An agent retry storm happens when the same failing step is attempted again and again with fresh model calls. The spend looks like work, but the evidence is not changing.
The quiet failure mode
Most background agents are polite when they fail. They retry the API call, ask the model to reason about the same error, load the same context, and try again.
That can be useful once. It is wasteful by attempt five.
What to track
- attempt count per phase
- same error repeated across attempts
- tokens spent after the first failure
- whether any new artifact was produced
- model escalation caused by retries
The stop rule
If the same blocker appears three times without new evidence, stop the workflow and mark it blocked. A larger model should not be the default answer to an unchanged external failure.
How Clawback helps
Clawback makes retry spend visible by workflow, model, and attempt so operators can see when background work has stopped making progress.
FAQ
Are retries bad?
No. Blind retries are bad. A retry with new evidence or a fixed input can be useful.
What is the first alert to add?
Repeated identical errors with rising token spend and no new artifact.
Should failed attempts count against budget?
Yes. They are often the spend you most need to understand.
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