A LangGraph template for building AI agents with human-in-the-loop, conditional routing, observability (Langfuse), and a Reflex UI demonstrated through a travel planner use case.

AI-powered, multi-agent travel planning system built in Python using a LangGraph-style architecture. It coordinates autonomous agents to generate personalized travel itineraries by combining user inputs with real-time data such as weather and points of interest, powered by LLMs like Google Gemini to automate multi-step travel planning decisions.

✈️ Plan your trips effortlessly with the AI Travel Planner Agent, which generates detailed itineraries from natural language queries using multiple APIs.