Variance Log

This variance logging tool for MCP, developed by truaxki, analyzes statistical variations in conversation structures and logs unusual events to a SQLite database. Built with Python and leveraging the MCP library, it provides an automated way to detect anomalies in AI interactions. The implementation focuses on identifying and recording deviations from expected conversation patterns, with configurable thresholds for what constitutes an 'unusual' event. It's particularly useful for researchers and developers working on AI safety and alignment, enabling use cases like monitoring model behavior, detecting potential instabilities or biases, and gathering data for further analysis of AI communication patterns.