Processing millions of documents per day/month at scale requires a robust observability layer. We've built in granular job tracking and cost…

Processing millions of documents per day/month at scale requires a robust observability layer. We've built in granular job tracking and cost attribution within LlamaParse that lets you easily create any subset of parse jobs to understand usage and costs: ✅ Attach user metadata to any parse job ✅ Filter usage per project and per team ✅ Signed webhooks to make sure that you're triggering downstream workflows securely Introducing: Granular job tracking and cost attribution in LlamaParse 🦙 Parsing thousands of pages a day is a lot to manage. Engineering teams need to have a pulse on what's running, who ran it, and what it costs. Our latest tagging system make it easier to track and attribute u…

Source: Jerry Liu (X) | 2026-07-08