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Trip Planner using Hands-Off Agents Pattern - OpenAI Agents SDK

🤖 Multi-Agent Trip Planning System Our trip planning system leverages OpenAI's Agents SDK to create an intelligent, multi-agent workflow that handles everything from initial preferences to final booking. The system consists of several sp…

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🤖 Multi-Agent Trip Planning System



Our trip planning system leverages OpenAI's Agents SDK to create an intelligent, multi-agent workflow that handles everything from initial preferences to final booking. The system consists of several specialized agents working in sequence:





  1. User Preferences Agent: The frontline agent that collects all necessary information about the trip


  2. Destination Research Agent: Researches activities and attractions using web search


  3. Itinerary Agent: Creates detailed day-by-day plans


  4. Booking Agent: Handles accommodation and activity reservations


  5. Summary Agent: Provides final confirmation and trip overview



Initial screens






🛠️ Key Components






Web Search Integration



The system utilizes OpenAI's WebSearchTool to gather real-time information about destinations, including:




  • Local attractions and activities

  • Weather forecasts

  • Cultural events

  • Restaurant recommendations

  • Transportation options






Agent Flow





  1. User Preferences Collection




    • Destination

    • Travel dates

    • Budget constraints

    • Travel style preferences

    • Group size




  2. Destination Research




    • Web search for relevant information

    • Activity recommendations

    • Local insights




  3. Itinerary Creation




    • Day-by-day planning

    • Time optimization

    • Activity sequencing




  4. Booking Management




    • Accommodation options

    • Activity reservations

    • Transportation arrangements




  5. Final Summary




    • Complete itinerary

    • Booking confirmations

    • Important reminders





[Insert screenshot of the agent flow diagram]






🎯 Key Features






Backend Capabilities




  • Asynchronous agent communication

  • Real-time web search integration

  • Context-aware conversation handling

  • Seamless agent handoffs






Frontend Experience



Our Gradio-based interface provides:




  • Real-time chat interaction

  • Clear conversation history

  • Progress tracking

  • Easy input handling



[Insert screenshot of the chat interface]






🚀 Getting Started



Check out our GitHub repository for:




  • Complete setup instructions

  • Code documentation

  • Example conversations

  • Contribution guidelines






📝 Demo



On launching the app, we provided input like "France trip plan". This activated the user preferences agent which returned follow-up questions to the user asking their preferences. Once the preferences were collected, the agent handsoff the control to another agent for researching the top activities to do in that destination.






📈 Future Enhancements



Possible future enhancements:




  • Integration with booking APIs

  • Enhanced natural language understanding

  • More destination-specific features

  • Advanced budget optimization

  • Weather-aware planning






Interested in contributing? Feel free to submit a pull request or open an issue!



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