I went through 14 reports of AI agents burning money

Description and use

AI agents frequently overspend due to race conditions between budget checks and API calls. The solution is to reserve a worst‑case amount before the request and refuse calls that would exceed the budget.

Problem

AI agents often exceed budget due to race conditions between budget checks and actual API calls, leading to excessive spending.

Outcome

By pre‑reserving a worst‑case cost and refusing calls that would exceed the budget, the library eliminates the race condition that caused 14 documented failures, ensuring agents stay within budget.

Workflow

• 1. Agent reads current budget for the requested model. 2. Library reserves a worst‑case amount for the anticipated call. 3. If reservation would exceed the ceiling, the call is refused. 4. If reservation succeeds, the call proceeds. 5. After the call, the library settles the actual cost and updates the budget.
• 6. Repeat for each subsequent request.

Evidence

Nothing re‑checks budget on the deployment that actually bills.

Source

multiple agents can observe remaining budget and start model calls before the governor's next poll.