We introduce OrchVis, a multi-agent orchestration framework that visualizes, verifies, and coordinates goal-driven collaboration among LLM-based agents. Through hierarchical goal alignment, task assignment, and conflict resolution, OrchVis enables humans to supervise complex multi-agent workflows without micromanaging each step. The system parses user intent into structured goals, monitors execution via automated verification, and exposes inter-agent dependencies through an interactive planning panel. When conflicts arise, users can explore system-proposed alternatives and selectively replan. OrchVis advances human-centered design for multi-agent systems by combining transparent visualization with adaptive autonomy.

翻译：本文提出OrchVis——一种多智能体编排框架，通过可视化、验证与协调机制，实现基于大语言模型的智能体在目标驱动下的协作。该系统通过层次化目标对齐、任务分配与冲突解决机制，使人类能够监督复杂的多智能体工作流，而无需对每个步骤进行微观管理。OrchVis将用户意图解析为结构化目标，通过自动化验证监控执行过程，并通过交互式规划面板揭示智能体间的依赖关系。当出现冲突时，用户可探索系统提出的替代方案并进行选择性重规划。通过将透明可视化与自适应自主性相结合，OrchVis推动了以人为中心的多智能体系统设计。