面向企业 AI 智能体的契约式行为工程方法论
原标题：Agentic Behavior Engineering: A Design-by-Contract Methodology for Specifying, Verifying, and Governing Enterprise AI Agents
AI 摘要
独立研究者 Yang Song 在 arXiv 发表论文，提出 Agentic Behavior Engineering（ABE）方法论，将可观测的智能体行为而非提示词或模型作为版本控制的工程制品。该方法把 Design by Contract 适配到非确定性系统，用带稳定规则编号的行为契约和场景库约束智能体，并划分为 Specify、Ground、Control、Verify、Observe 五项职责。其目标是解决企业部署 LLM 智能体后因模型版本退役、策略修订、上游 schema 变更等外部变化导致的维护与回归难题。
正文节选
[Page 1] Agentic Behavior Engineering: A Design-by-Contract Methodology for Specifying, Verifying, and Governing Enterprise AI Agents Yang Song Independent Researcher juliays@yahoo.com Abstract Enterprise teams that deploy Large Language Model (LLM) agents inherit a maintenance problem that traditional testing does not address. The model is non-deterministic, but the larger risk is that most of what changes an agent's behavior (a retired model version, a revised policy, an upstream schema