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Introducing: Granular job tracking and cost attribution in LlamaParse ๐ฆ Parsing thousands of pages a day is a lot to manage. Engineering teโฆ
Introducing: Granular job tracking and cost attribution in LlamaParse ๐ฆ 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 w
Introducing: Granular job tracking and cost attribution in LlamaParse ๐ฆ 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 usage and costs at scale in LlamaParse: ๐ท๏ธ ๐จ๐๐ฒ๐ฟ ๐ ๐ฒ๐๐ฎ๐ฑ๐ฎ๐๐ฎ: Always know where every job belongs. Attach your own labels to any parse job and they come back on every response. ๐ท๏ธ ๐จ๐๐ฎ๐ด๐ฒ ๐ง๐ฎ๐ด๐: Know what your document processing actually costs, by project and by team. Tag your requests, and your spend becomes filterable by those tags: by customer, by team, by product line, whatever makes sense for your org. ๐ท๏ธ ๐ฆ๐ถ๐ด๐ป๐ฒ๐ฑ ๐ช๐ฒ๐ฏ๐ต๐ผ๐ผ๐ธ๐: Trust every callback you receive. Every webhook delivery now includes an HMAC signature, so your systems can verify a callback really came from us before acting on it.
Source: Jerry Liu (X) | 2026-07-08