LangSmith 101: Debug, Evaluate, and Ship Reliable AI Agents

​Join us for a live demo of on how leading engineering teams use observability and evaluation to ship reliable, production-ready AI agents faster 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.

​Join us to see LangSmith in action, get your questions answered live with our deployed engineering team, and leave with a clear playbook for observing, evaluating, and shipping production ready agents.