Instead of relying on a single agent, this project uses three specialized agents::blobcoffee: A classifier that categorizes and prioritizes incoming support tickets,:blobcoffee: A router that decides what should happen next based on the ticket priority,:blobcoffee: A responder that drafts replies for routine requests.Urgent tickets completely bypass the responder and are escalated for human review.The article also walks through how State, Nodes and Conditional Edges work in LangGraph, with a complete step-by-step implementation: https://medium.com/towards-artificial-intelligence/building-a-multi-agent-support-ticket-triage-with-langgraph-963a5b2081fb#Python #AIagent #llm #ai #langchain #support #dataengineering #datascience #coding
Instead of relying on a single agent, this project uses three specialized agents::blobcoffee: A classifier that categori...