The Airline Customer Service Multi-Agent System is a specialized network of AI agents designed to handle various aspects of airline customer service. The system includes multiple specialized agents working together, including a Triage Agent for initial request classification, Flight Modification Agents handling booking changes and cancellations, and a Lost Baggage Agent for tracking and resolving luggage issues. Each agent is specifically trained for its role, allowing for detailed and accurate handling of specific types of customer requests while maintaining coordination across the entire service network.

The multi-agent approach allows for specialized handling of different types of requests, improving the accuracy and efficiency of response handling. The system can handle multiple customer inquiries simultaneously, reducing wait times and improving customer satisfaction. The specialized nature of each agent ensures that customers receive expert-level assistance for their specific issues, while the coordinated system ensures smooth handoffs between different aspects of service handling.

This estimate assumes familiarity with the OpenAI Swarm framework and experience in implementing multi-agent systems. It assumes that airline-specific data and business rules are already documented and available. The estimate includes time for implementing individual agents, coordinating mechanisms, and basic testing, but does not include time for extensive integration with airline reservation systems or baggage tracking systems.