Researchers introduced Bayesian Chronicle Agents (BCA), a belief layer that separates what an agent believes from how it speaks. This allows for more control over opinion dynamics in LLM agents, enabling three canonical regimes of opinion dynamics on demand. The BCA layer also makes simulation auditable, surfacing systematic stance biases.