Free Lesson

How to Trace and Monitor AI Agents with LangSmith

Hosted by Sol Farahmand

Tue, Jul 28, 2026

6:00 PM UTC (30 minutes)

Virtual (Zoom)

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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.

Why this topic matters

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.

You'll learn from

Sol Farahmand

AI Hackathon Winner | 2X Entrepreneur | AI Workflow Builder

Hi, my name is Sol, I’m a business owner taking on some of my toughest business tasks with AI to increase productivity, and I want to share my learning journey with you so that you can skip the trial and error of using AI.

I’ve built hands-on AI systems using tools like Lovable, Claude Cowork, MindStudio, Claude Code, and Codex. I specialize in turning complex AI concepts into practical systems that professionals and business owners can actually use.

I’m an AI hackathon winner, have published 5 Skills, and teach through real implementation instead of theory.

What makes my teaching different is that I help you become operational with AI and improve productivity that fits directly into your day-to-day work.

See all products from Sol

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