The Ecom-RLVE framework creates adaptive, verifiable environments to test conversational agents in retail scenarios. It uses a dynamic state-tracking mechanism to validate if an agent actually completes a purchase or solves a query. This solves the problem of unreliable LLM benchmarks. Developers can now quantify agent reliability using concrete success metrics instead of vague linguistic scores.