Agent Planning and Reasoning with ReAct: Build a Python Email Triage Agent from Scratch

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This article explains the ReAct (Reason + Act) pattern for building AI agents that reason and take actions iteratively. It demonstrates how to build a Python email triage agent from scratch that investigates suspicious emails by checking sender reputation and scanning URLs before making a decision. The tutorial covers the ReAct loop with Thought, Action, Observation, and Final Answer steps, provides a working Python implementation using OpenAI API, and emphasizes the importance of gathering evidence before answering. It includes code examples for sender reputation checking and URL scanning tools.

Agent Planning and Reasoning with ReAct: Build a Python Email Triage Agent from Scratch

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