A state-of-the-art multi-agent travel planning system built with LangGraph, Google Gemini Flash-2.0, and DuckDuckGo Search. The system offers three different planning approaches, from traditional single-agent to cutting-edge multi-agent collaboration using modern industry frameworks.
 # 🚀 AI Travel Agent & Expense Planner - LangGraph Multi-Agent System ## Overview A state-of-the-art multi-agent travel planning system built with **LangGraph**, **Google Gemini Flash-2.0**, and **DuckDuckGo Search**. The system offers three different planning approaches, from traditional single-agent to cutting-edge multi-agent collaboration using modern industry frameworks. ## 🤖 Planning Options Choose from three different planning experiences: ### 1. 🔧 Single-Agent Planning (Classic) - Traditional single AI agent approach - Direct planning methodology - Proven reliability and efficiency ### 2. 🚀 Legacy Multi-Agent (Custom Framework) - 6 specialized AI agents working together - Custom multi-agent framework - Enhanced recommendations through collaboration ### 3. 🌟 LangGraph Multi-Agent (Advanced) ⭐ **RECOMMENDED** - **Google Gemini Flash-2.0** powered agents - **DuckDuckGo real-time search** integration - **LangGraph workflow** orchestration - State-of-the-art multi-agent collaboration ## 🏗️ LangGraph System Architecture  ### Framework Components - **LangGraph StateGraph**: Workflow orchestration and state management - **Google Gemini Flash-2.0**: Advanced AI reasoning and natural language processing - **DuckDuckGo Search**: Real-time information retrieval (no API key needed) - **Pydantic**: Type safety and data validation - **Custom Agent Protocols**: Specialized communication between agents ### 🤖 AI Agent Network | Agent | Role | Capabilities | |-------|------|-------------| | **Coordinator** | Workflow orchestration & decision synthesis | Master planning, task delegation, consensus building | | **Travel Advisor** | Destination expertise with live search | Attraction research, destination insights,
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