Agentic Travel Suite

Multi-Agent System Architecture for Travel Planning

Overview

This system architecture integrates OpenAI's GPT-4 with the Swarm framework to create a network of specialized AI agents. Each agent is designed to handle specific tasks within the system.

Core Agents

Triage Agent

Serves as the primary coordinator, analyzing and routing user queries to appropriate specialized agents.

Plan Agent

Leverages GPT-4 to generate strategic plans and recommendations, including travel routes, activity schedules, and resource planning.

Google Maps Agent

Interfaces with Google Maps API to provide location-based services, including directions, distance calculations, and geographical data.

Weather Agent

Connects to OpenWeatherMap API to deliver real-time weather conditions and forecasts for specified locations.

System Design

Each agent is equipped with:

•Specialized tools for API interactions and task execution
•Defined prompts that guide behavior and ensure consistent responses
•Role-specific capabilities aligned with their primary functions

Operational Workflow

User submits initial query
Triage Agent analyzes and routes the request
Specialized agent processes the query using relevant tools
System returns results while maintaining conversation context

Example Interaction

Here's an example interaction with the system:

User:

"I need directions from London to Paris by car."

System (Google Maps Agent):

"Here is a Google Maps link with directions from London to Paris by car."

User:

"Can I get the weather for this route?"

System (Weather Agent):

"The current weather in London is..." and "The current weather in Paris is..."

The system maintains contextual awareness throughout interactions, enabling natural follow-up queries. For example, after receiving directions, users can seamlessly inquire about weather conditions along their route.

Conclusion

This implementation demonstrates the effectiveness of specialized AI agents in delivering streamlined, intelligent interactions while maintaining scalability for future enhancements.