Decoding the Black Box: LLM Observability with...

Running a Large Language Model (LLM) locally feels like magic – until something goes wrong. You get an output, but why did it generate that response? Was it slow? Did it hit memory limits? LLM Observability is the key to lifting the veil, turning that black box into a transparent system you can understand and optimize. This guide dives into the core concepts, practical implementation, and essential metrics for monitoring your local LLM inference servers, leveraging tools like LangSmith and Helic