Agent Telemetry

Agent telemetry (also “agent-native telemetry”) refers to the collection and structured logging of an AI agent’s reasoning steps, tool-call sequences, sub-agent transitions, and file-change causality. Traditional Application Performance Monitoring (APM) tracks request counts, latency, and error rates — none of which captures why an agent issued a particular sequence of actions.

Agent telemetry fills this observability gap, enabling both post-incident root-cause analysis and continuous improvement of agent behavior. OpenAI identified it as one of the four pillars of safe Codex operation in its May 2026 engineering disclosure.