Understanding LLM reasoning traceability is crucial for evaluating and improving AI applications. This session covers the importance of tracing and evaluating large language models (LLMs), focusing on techniques for assessing their performance in production. Participants will learn about tools like Lang Smith for evaluation, the significance of guardrails, and production challenges such as accuracy and latency, ensuring they can effectively deploy and monitor AI applications.