AI Travel Agent – Powered by LangGraph: A Practical Use Case – GitHub

AI Travel Agent. Contribute to nirbar1985/ai-travel-agent development by creating an account on GitHub.

Welcome to the AI Travel Agent repository! This project demonstrates how to leverage LangGraph for building a smart travel assistant that uses multiple language models (LLMs) to handle tasks such as finding flights, booking hotels, and sending personalized emails. The agent is designed to interact with users, invoke necessary tools, and provide a seamless travel planning experience.

Features

• Stateful Interactions: The agent remembers user interactions and continues from where it left off, ensuring a smooth user experience.
• Human-in-the-Loop: Users have control over critical actions, like reviewing travel plans before emails are sent.
• Dynamic LLM Usage: The agent intelligently switches between different LLMs for various tasks, like tool invocation and email generation.
• Email Automation: Automatically generates and sends detailed travel plans to users via email.