A Safety-Aware Role-Orchestrated Multi-Agent LLM Framework for Behavioral Health Communication Simulation

This paper presents a framework for simulating behavioral health communication using role-orchestrated multi-agent large language models, prioritizing safety. This has practical implications for training mental health professionals and developing empathetic AI communication tools.