Engineer @eng_khairallah1 posted what every developer running autonomous agents secretly fears: a runaway agent that exhausted an entire API budget within hours.

No gradual creep. No gentle warning before the cliff. The agent entered a loop, kept making API calls, and the billing counter spun like a slot machine that only shows losses.

The post wasn't just a complaint — it was a field report with specific mitigations that clearly came from painful experience:

Token budgets per agent run. Not per day. Per run. Because a single agentic loop can burn through more tokens in an hour than a team uses in a week.

Cost tracking per task. Know exactly which agent action is costing what, in real time. Not in tomorrow's billing dashboard.

Hard limits. Not soft warnings. Not "hey, you're approaching your budget" emails that arrive after the budget is already gone. Hard stops that kill the process.

The incident highlights a blind spot in how most teams deploy agents: they set monthly budgets and assume the spend will be distributed evenly. But agents don't work like humans. They don't take lunch breaks. They don't get tired and slow down. A runaway agent will consume resources at machine speed until something stops it — and if that something is "the money running out," you've already lost.