The Architecture Behind Real-Time AI Cost Tracking at Scale

Our ingestion layer receives usage events asynchronously so product traffic is never blocked by analytics operations.

We batch writes, attach model metadata at ingestion time, and keep idempotency keys to prevent duplicates.

For dashboards, we maintain pre-aggregated rollups by day, model, and team to keep queries fast.

The result is near real-time visibility without adding latency to core API paths.