Ensuring Reliable AI Operations with Structured Error Monitoring Reliable error tracking is vital in developing scalable, fault-tolerant AI systems. The AI Error Tracker is a lightweight yet powerful framework designed to streamline error logging, monitoring, and analysis. It utilizes a robust SQLite-backed storage system to log structured error data, including timestamps, severity levels, and contextual information, to help developers efficiently diagnose and resolve issues. AI Error Tracker: Wiki AI Error…

