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AI Support Agent with LangGraph

An autonomous customer support pipeline built using LangGraph and Google Gemini 2.0 Flash.

Features

  • Multi-stage State Management: Separates intent classification, sentiment analysis, and response generation into discrete nodes.
  • Health-Tech Ready: Designed to integrate with EHR platforms for automated patient coordination.
  • Deterministic Scaling: Uses a compiled state graph to ensure predictable execution flows.

Setup

  1. Clone the repo and install dependencies: pip install -r requirements.txt
  2. Add your GOOGLE_API_KEY to a .env file.
  3. Run the agent: python main.py

About

A multi-step AI agent that automatically processes customer support tickets. Given a raw ticket, the agent classifies the intent, analyzes the sentiment, and generates a context-aware response — all in a structured pipeline built with LangGraph and Gemini 2.0 Flash.

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