This is an Observability Trends Publication Large Language Models (LLMs) are rapidly reshaping how companies build AI-driven products, with organizations across every industry integrating LLMs into their workflows. But as adoption accelerates, a critical challenge has emerged: how do you gain visibility into what these models are actually doing in production? Join AWS and Lumigo as we explore the growing need for LLM observability, from tracking prompt inputs and responses to debugging failures and monitoring performance across chains and agents. What you’ll learn: Why traditional observability tools fail with LLM workflows What to monitor: prompts, responses, errors, and agent chains How to debug and trace failures across your LLM pipeline Where full payload data helps you gain complete end-to-end visibility into your pipeline Featured Speakers: Danilo Poccia Chief Evangelist, AWS Orr Weinstein VP of Product, Lumigo RSVP Now