Building a Full-Agent Observability and Quality Evaluation System: From Data Collection to the Data Flywheel
This article presents a comprehensive, engineering‑focused practice for observing and evaluating large‑model agents, covering new data‑collection challenges, a three‑layer observability architecture, offline and online testing pipelines, quality‑gate mechanisms, and a self‑reinforcing data flywheel that continuously improves performance, cost, and safety.
