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AI Agents with LangChain & Autonomous Workflows · Lesson

Debugging Agent Thought Processes

Apply systematic approaches to identify and resolve issues within your agent's reasoning and action sequences.

Debugging Agent Thoughts

Ever had an AI agent give a weird answer or get stuck? Debugging agents isn't like debugging regular code. Instead of just finding syntax errors, we need to understand the agent's "thought process".

This lesson will teach you how to peek into your agent's mind to see why it makes certain decisions and how to fix its reasoning.

The Agent's Inner Voice

An AI agent doesn't just output a final answer. Internally, it goes through a series of "thoughts". These thoughts involve:

  • Reasoning: What's the best next step?
  • Tool Selection: Which tool should I use?
  • Tool Input: What input should I give the tool?
  • Observation: What was the result of using the tool?

By examining this sequence, we can pinpoint where the agent's logic might be failing.

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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