LlamaParse现在能让你给每个解析打标签，按项目团队看成本，还能用签名webhook安全触发工作流。处理大量文档更可控了。
LlamaParse新增三个功能：用户元数据标签允许为每个解析任务附加自定义标签并回传；使用标签可按项目或团队筛选解析用量和成本；签名Webhook通过HMAC签名确保回调真实性。这些功能帮助处理每日数百万文档的团队精细追踪使用情况和成本。
Processing millions of documents per day/month at scale requires a robust observability layer. We'v...
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 LlamaIndex 🦙 @llama_index 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 usage and costs at scale in LlamaParse: 🏷️ 𝗨𝘀𝗲𝗿 𝗠𝗲𝘁𝗮𝗱𝗮𝘁𝗮: Always know where every job belongs. Attach your own labels to any parse job and they come back on every response. 🏷️ 𝗨𝘀𝗮𝗴𝗲 𝗧𝗮𝗴𝘀: 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. 🏷️ 𝗦𝗶𝗴𝗻𝗲𝗱 𝗪𝗲𝗯𝗵𝗼𝗼𝗸𝘀: 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. 🔗 View Quoted Tweet 💬 2 🔄 2 ❤️ 8 👀 1635 📊 3 ⚡