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AI Agents with LangChain & Autonomous Workflows · Lesson

LangSmith for Tracing & Monitoring

Utilize LangSmith to gain visibility into your agent's thought process, tool usage, and overall execution flow.

Seeing Inside Your Agent

When you build an AI agent, it often feels like a black box. You provide an input, and it gives an output, but what happens in between?

  • Did it understand your prompt correctly?
  • Which tools did it decide to use?
  • Why did it choose that particular action?

Understanding these internal workings is crucial for debugging and improving your agents.

Introducing LangSmith

LangSmith is a developer platform by LangChain, designed specifically for building, debugging, and evaluating Large Language Model (LLM) applications.

It provides the visibility you need to understand your agent's behavior, identify issues, and ensure it performs as expected.

All lessons in this course

  1. LangSmith for Tracing & Monitoring
  2. Debugging Agent Thought Processes
  3. Evaluating Agent Performance
  4. Token Usage & Cost Monitoring
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