Stop Letting API Rate Limits Crash Your AI Features: How We Engineered a Resilient Gateway Layer
中文摘要
针对 LLM 速率限制，本文介绍了如何通过构建自适应令牌桶队列和弹性网关层，解决简单 try/catch 无法应对大规模调用的问题。
English Summary
Move beyond simple try/catch blocks to prevent LLM rate limit failures by implementing an adaptive token-bucket queue within a resilient API gateway layer.
原文节选
Why wrapping LLM calls in simple try/catch blocks fails at scale, and how we built an adaptive token-bucket queue for high-volume… Continue reading on Medium »