Developer Builds DriftWatch to Track AI Agent Behavior Changes via OpenTelemetry
A developer created DriftWatch after struggling to replicate results from an AI-assisted web design project, with no visibility into which model or process had produced the original outcome. DriftWatch is an observability tool that monitors AI agent activity, tracking tool calls, response durations, token usage, costs, and behavioral drift in real time. It uses the OpenTelemetry Node SDK to instrument agent runs, assigning parent and child spans to each process and recording three custom metrics per run. The tool exports telemetry data to SigNoz via OTLP, enabling deep analysis without requiring custom translation layers. To detect drift specifically, DriftWatch queries SigNoz's API to compare baseline and current time windows, flagging meaningful changes in agent behavior over time.
This is an AI-generated summary. ShortSingh links to the original source for the complete article.
Discussion (0)
Log in to join the discussion and vote.
Log in