Ecom-RLVE：為電商對話 Agent 打造的自適應可驗證強化學習環境

As large language models (LLMs) become increasingly widespread, more and more companies are attempting to deploy AI agents in e-commerce customer service and product recommendation scenarios. However, the e-commerce environment is extremely complex — AI must not only understand users' ever-changing intent but also precisely call back-end APIs (such as checking inventory or processing returns), all while avoiding "reckless commitments" (for example, spontaneously promising discounts that violate policy). Traditional static dataset testing can no longer meet the demands of such dynamic conversations.