AI Tour Meeting：基于LLM智能体的团体旅行规划

摘要

本文提出了 AI Tour Meeting，这是一个由多个基于大语言模型（LLM）的智能体驱动的群体旅行规划框架。这些智能体以不同的角色设定实例化，并通过自然语言讨论协作寻找满足各自约束和偏好的行程。该框架通过提供配置智能体角色、讨论工作流、监控及 LLM 部署的接口，实现了对此类讨论的轻松灵活编排。其主要用例是作为仿真工具，用于分析多个 LLM 智能体在旅行规划讨论中的行为。本文通过展示系统验证以及由该框架获得的若干分析结果，论证了该框架的实用性。

English

This paper proposes AI Tour Meeting, a group travel planning framework powered by multiple Large Language Model (LLM)-based agents. The agents are instantiated with distinct personas and collaboratively seek an itinerary that satisfies their constraints and preferences through natural language discussion. The framework enables easy and flexible orchestration of such discussions by providing interfaces for configuring agent personas, discussion workflows, monitoring, and LLM deployment. Its primary use case is a simulation tool for analyzing the behavior of multiple LLM agents during tour planning discussions. This paper demonstrates the utility of the framework by presenting system validation and several analytical results obtained by the framework.