Stop AI Agent Runaway Loops: Building Crash-Resilient, Resumable State Machines in Python

Description and use

<p>If you have deployed autonomous AI agents with LangChain, CrewAI, or AutoGen into production, you have likely encountered this catastrophic failure mode:</p> <ol> <li>The agent gets stuck in a recursive tool call or error-correction loop.</li> <li>In under 15 minutes, it fires 350+ API requests and burns $60 to $120 in OpenAI or Anthropic credits.</li> <li>An unhandled network timeout or spot instance reboot crashes the Python process at step 19 of a 20-step pipeline — and when restarted, <strong>it starts over from scratch</strong>, spending all those tokens a second time.</li> </ol> <p>In

Problem

<p>If you have deployed autonomous AI agents with LangChain, CrewAI, or AutoGen into production, you have likely encountered this catastrophic failure mode:</p> <ol> <li>The agent gets stuck in a recursive tool call or error-correction loop.</li> <li>In under 15 minutes, it fires 350+ API requests and burns $60 to $120 in OpenAI or Anthropic credits.</li> <li>An unhandled network timeout or spot instance reboot crashes the Python process at step 19 of a 20-step pipeline — and when restarted, <strong>it starts over from scratch</strong>, spending all those tokens a second time.</li> </ol> <p>In

Outcome

<p>If you have deployed autonomous AI agents with LangChain, CrewAI, or AutoGen into production, you have likely encountered this catastrophic failure mode:</p> <ol> <li>The agent gets stuck in a recursive tool call or error-correction loop.</li> <li>In under 15 minutes, it fires 350+ API requests and burns $60 to $120 in OpenAI or Anthropic credits.</li> <li>An unhandled network timeout or spot instance reboot crashes the Python process at step 19 of a 20-step pipeline — and when restarted, <strong>it starts over from scratch</strong>, spending all those tokens a second time.</li> </ol> <p>In

Evidence

Stop AI Agent Runaway Loops: Building Crash-Resilient, Resumable State Machines in Python

Source