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Travel Planner

examples/v1/travel/README.md

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Travel Planner

Plan your next trip with an AI-powered travel planner. This demo showcases a travel application where an AI assistant helps you create, manage, and explore trips with real-time map visualization and Google Maps integration.

Click here for a running example

<div align="center"> <a href="https://copilotkit.ai" target="_blank"> </a> <a href="https://nextjs.org" target="_blank"> </a> <a href="https://www.langchain.com/langgraph" target="_blank"> </a> <a href="https://leafletjs.com/" target="_blank"> </a> </div>

Tutorial Video

<a href="https://www.youtube.com/watch?v=9v3kXiOY3vg" target="_blank"> </a>

Overview

This application demonstrates the power of CopilotKit working with an Agent Framework (LangGraph in this case), where the agent shares state with your React frontend, enabling seamless AI-human collaboration. Key features include:

  • Interactive Map - Visualize your trips and places on a Leaflet-powered map
  • Google Maps Search - The AI agent can search for real places using Google Maps API
  • Human-in-the-Loop - Review and approve AI-suggested changes before they're applied
  • Shared State - The AI agent and UI share the same state, keeping everything in sync
  • Smart Suggestions - Context-aware chat suggestions based on your current trips

Getting Started

Prerequisites

  • Node.js 18+
  • Python 3.11+ with uv package manager
  • npm, yarn, or pnpm

Installation

  1. Clone the repository:

    bash
    git clone https://github.com/CopilotKit/CopilotKit.git
    cd CopilotKit/examples/v1/travel
    
  2. Install frontend dependencies:

    bash
    pnpm install
    
    <details> <summary><b>Using other package managers</b></summary>
    bash
    # Using yarn
    yarn install
    
    # Using npm
    npm install
    
    </details>
  3. Install agent dependencies:

    bash
    pnpm install:agent
    
  4. Create a .env file in the project root:

    OPENAI_API_KEY=your_openai_api_key
    GOOGLE_MAPS_API_KEY=your_google_maps_api_key
    

    Alternatively, use Copilot Cloud by setting:

    NEXT_PUBLIC_CPK_PUBLIC_API_KEY=your_copilotkit_api_key
    
  5. Start the development server (runs both frontend and agent):

    bash
    pnpm dev
    
    <details> <summary><b>Using other package managers</b></summary>
    bash
    # Using yarn
    yarn dev
    
    # Using npm
    npm run dev
    
    </details>
  6. Open http://localhost:3000 in your browser to see the application.