LLM observability » refers to the ability to gain insights into the internal workings, behavior, and performance of language models. LLM observability for AI startups involves the systematic collection, analysis, and visualization of data related to the model's operations, such as input-output patterns, decision-making processes, latency, resource usage, and error rates.