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Agentic AI Foundations

The ReAct Pattern

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What is ReAct?

ReAct: Reasoning + Acting

ReAct is a pattern that makes agents more reliable by forcing them to think out loud before acting.

The Problem It Solves

Raw tool-calling agents often:

  • Call the wrong tool because they didn't think it through
  • Miss important context in the user's query
  • Are hard to debug (why did it do that?)

The ReAct Structure

Each turn in a ReAct agent has three parts:

Example

User: What's the status of order #12345?

Why This Matters

  • Debugging: You can see exactly why the agent made each decision
  • Accuracy: The thinking step catches mistakes before they happen
  • Control: You can fine-tune the reasoning prompts