I built a circuit breaker for LLM agents after seeing someone lose $200 overnight
A student developer created AgentBrake, a Python decorator to prevent LLM agents from incurring excessive costs or performing unintended actions. The tool acts as a circuit breaker, monitoring tool calls for infinite loops, budget overruns, or attempts to execute disallowed functions. By integrating AgentBrake, developers can add a safety mechanism that halts agent execution before significant financial loss or harmful operations occur. AI
IMPACT Provides a crucial safety layer for LLM agents, preventing runaway costs and unintended actions, thereby increasing developer confidence and adoption.