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Generative AIintermediate

Personalized Holiday Management Agent

Holiday Agent is an autonomous, multi-agent AI system designed to solve the problem of complex travel planning. Unlike standard chatbots that often "hallucinate" non-existent hotels or train schedules, Holiday Agent separates the reasoning process into distinct phases. The system takes a vague user prompt (e.g., *"I want a 7-day trip to Japan focusing on anime and food"*) and orchestrates a team of specialized AI agents to build a concrete, day-by-day itinerary. It validates data in real-time ensure open hours, prices, and locations are accurate before generating the final travel guide.

12 lectures

What You Will Learn

Master building sequential multi-agent workflows using Microsoft AutoGen.
Implement an API layer using FastAPI and Jinja2 for a web interface.
Understand the orchestration of specialized role-playing AI agents (Planner, Researcher).
Gain experience integration OpenAI's GPT-4o for complex reasoning and fact-checking.
Develop efficient asynchronous Python applications.
Build a structured data pipeline using Pydantic for agent communication.

System Architecture

Personalized Holiday Management Agent Architecture Diagram

High-level architecture overview of the Personalized Holiday Management Agent .

What You'll Build

  • A "Personalized Holiday Management Agent" capable of planning detailed travel itineraries.
  • A Multi-Agent System where a Planner Agent creates the schedule and a Researcher Agent verifies facts.
  • A FastAPI backend that serves a simple HTML interface for user interaction.
  • A CLI tool for interacting with the agent team directly.
Personalized Holiday Management Agent
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