What do you understand by LLM Observability?

It will become one of key skills in coming time. 

LLM Observability: Why It Matters and How to Implement It

LLM observability is basically about keeping an eye on how large language models behave in real use. It’s not just about whether they respond quickly, but also whether their outputs are accurate, relevant, and unbiased. Developers track things like performance, errors, resource usage, and any unexpected behavior. The idea is to make sure the model is reliable, safe, and consistent so you can catch issues early and improve its results over time.

LLM Observability = the practice of monitoring, tracing, and evaluating LLM behavior in real-world apps to ensure quality, reliability, safety, and cost efficiency.