See who spent your AI credits and set fair caps per team

This post introduces granular controls for managing AI credit consumption within GitLab. It details features for setting per-user and per-team budgets, exporting detailed usage reports down to the billable event level (including LLM call count, token totals, and models used), and implementing budget guardrails at various organizational levels. It also explains how included promotional credits are applied before evaluation credits and how to configure these settings via the Credit caps page and usage exports. The post highlights the importance of these controls for managing AI spend, enabling showback, and forecasting future needs.