Token Usage Tracking

Token usage tracking is the monitoring of how many tokens an AI agent consumes across model calls, tasks, and time periods. It supports cost governance, budget enforcement, and anomaly detection — a sudden spike in token usage can indicate a runaway agent, a prompt injection attack, or an inefficient workflow that needs optimisation.