Observability in Large Language Models: A Framework for Real-Time Applications

Large Language Models (LLMs) are revolutionizing the way artificial intelligence interacts with the world. However, as they become more integrated into real-time systems, ensur- ing their performance, safety, and robustness presents critical challenges. This paper explores the importance of observability in LLMs, outlining metrics, frameworks, and techniques for monitoring and optimization. Drawing on diverse observability studies, we discuss the practical implementations, case studies, and the future of this emerging field.