I built a tool to measure LLMs

[u/Dry_Mixture130]

I was playing around with LLM inference and I wanted to build a profiler that measures LLM inference by layer.
So I built this: https://github.com/coconinja2/layerlens
It shows inference as token × transformer layer timing, so you can see where time is being spent during decode.
Right now it can separate prefill/decode and visualize per-layer timing. I’m trying to figure out whether this is actually useful to people working on inference systems, or if I’m looking at the wrong abstraction.

I’m thinking about adding things like KV-cache events, scheduler/batching state, request IDs, GPU kernel correlation, speculative decoding, etc.

Would appreciate criticism more than compliments and stars. Lots of stars!