How to Debug, Evaluate, and Ship Reliable AI Agents with LangSmith

​Learn the foundations for understanding, improving, and confidently deploying AI agents. Get practical steps on how to debug non-deterministic agent behavior, iterate on performance, and ship reliably across any frameworks and models.

​What you’ll learn:
​- How to get end-to-end visibility into agent behavior with tracing for each agent step, tool calls, conversation, latency, error, and token count.
​- Practical ways to debug and improve agents using production traces, insights, and iterative prompt/tool refinement.
​- How to set up evaluations (datasets, experiments, and subject matter expert annotations) to measure quality and prevent regressions.