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