AI agents causing unexpected costs due to infinite loops in production

Developers building AI agents with frameworks like LangChain face financial losses when agents enter infinite loops in production, burning through API credits overnight. This occurs because current tools lack robust testing for such failure modes, leading to uncontrolled expenses and deployment risks. The problem highlights a need for better pre-deployment validation to catch loops and other issues.