💣Power Session: How to Trace and Monitor AI Agents with LangSmith
Details
If you're running agents, the moment one calls the wrong tool or slows down, you need to see inside the request, not just the final answer. Debugging that behavior is what separates someone who can ship agents from someone who can only prompt one. After this lesson you can add tracing to any LangChain agent, read a trace end to end, and set an alert before something breaks.
What you'll learn
💣Why Final Answers Don't Show What Went Wrong
Learn to see why checking only an agent's final output hides where a failure actually happened.
💣Set Up LangSmith Tracing On A Local Agent
Learn to add LangSmith tracing to a LangChain agent running locally through Ollama, no code changes needed.
💣Read A Trace To See Tool Calls And Latency
Learn to inspect a LangSmith trace to see which tools ran, how long each step took, and token usage.