How a 72-Hour Rate Limit Outage Led to llmfleet

This story highlights a critical challenge for developers scaling LLM applications: managing API rate limits efficiently. Rather than accepting hard blocks and retry storms, llmfleet demonstrates how intelligent backpressure—monitoring token headers and pausing dispatches strategically—can sustain higher throughput and reduce wasted API calls. For anyone processing large batches against Claude, this approach offers both a practical tool and insights into optimizing API resource consumption.