This paper introduces a Multi-LLM Collaboration approach, guided by an "LLM Chemistry" framework, to enhance the reliability and trustworthiness of medication recommendations from clinical vignettes. The method aims to create effective, stable, and calibrated LLM ensembles by explicitly modeling interaction dynamics.