Crowkis vs LangSmith: tracing the waste vs deleting it
LangSmith shows you every span of every chain, beautifully. The spans are still billed. There's a component whose job is making the spans not happen.
LangSmith is a polished developer experience: traces, evals, prompt playgrounds — a microscope for LLM applications, priced per seat and per trace at unicorn-company rates. Use it to debug; it's good at that. But a microscope examines the waste in exquisite detail without removing a token of it. Every repeated query it traces was still purchased.
There's also the platform gravity to weigh: deep LangSmith adoption couples your observability to one framework's ecosystem and one vendor's cloud, with traffic metadata leaving your network as a feature. Reasonable trade for some teams; involuntary for none, ideally.
Every paraphrase is a fresh bill — unless the cache understands meaning.
Crowkis approaches the same traffic from the savings side. The live verdict feed is observability with consequences: each line is a hit that cost nothing, a refusal that protected a user, or a miss that — uniquely — was worth paying for. Top-miss analytics double as a to-do list. And it exports Prometheus and OTel, so your existing dashboards inherit everything.
The bottom line
Trace with whatever delights you. But the chart your CFO wants isn't 'requests observed' — it's 'requests eliminated.' Only a cache draws that one.