The anatomy of an LLM cost spike
Six real patterns that cause unexpected API spend. With each one: the root cause, how it looks in cost-over-time data, and how to fix it before the billing cycle ends.
Engineering Blog
Cost anatomy, latency benchmarks, provider comparisons, and the engineering decisions that come with running LLMs in production — written by the Framewren team.
Six real patterns that cause unexpected API spend. With each one: the root cause, how it looks in cost-over-time data, and how to fix it before the billing cycle ends.
Two weeks of latency data across three major providers. How P99 differs from P50, which provider shows the widest tail, and what it means for user-facing features.
Practical techniques — prompt compression, context trimming, model tier selection — that reduce token spend by 30–60% without degrading output quality for most use cases.
When rolling your own cost tracking makes sense, when it doesn't, and what the hidden maintenance cost of a homegrown solution actually looks like six months in.
Moving from one provider to another changes more than the API client. Token counts, context limits, latency profiles, and pricing structures all shift. How to model the real cost before you migrate.