drift-detection
Drift Detection
Monitor LLM quality degradation and input/output distribution shifts in production.
Overview
- Detecting input distribution drift (data drift)
- Monitoring output quality degradation (concept drift)
- Implementing statistical methods (PSI, KS, KL divergence)
- Setting up dynamic thresholds with moving averages
- Integrating Langfuse scores with drift analysis
Quick Reference
Population Stability Index (PSI)
import numpy as np
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