Cloudflare 发布 Clairic 模型，从文档抽取数据比 LLM 更快更省
Cloudflare 发布了 AI 模型 Clairic，可在 Workers AI 中预览且即将开源权重，支持单次传参直接从非结构化文本中抽取多个指定字段并返回置信度。Clairic 不按 token 逐字生成，还能处理简单计算和预测，设计用于与 LLM 等其他模型组装成 Agent 链路来降低整体耗时和成本。
Cloudflare has released an AI model it says pulls data from documents faster and more cheaply than large language models. Clairic is available in preview on Workers AI, and open weights are set to follow soon.
Users name the fields they want, like an order number or invoice total, and Clairic returns matching values in the right format along with a confidence score. Unlike language models, Clairic doesn't generate text token by token. It answers every field in a single pass. If a value is missing, the model returns "null." Beyond extraction, it can handle simple calculations, estimates, and forecasts.
Cloudflare wants Clairic to run in chains alongside LLMs and other "System One" models like Jev. With a complaint email, for example, Clairic pulls out the order number, amount, and damage, then estimates the repair cost. The decision model Clef applies company rules to choose between a refund and a repair, and GLM-5.3 writes the reply to the customer.
Cloudflare says this chain takes 19.3 seconds. GLM-5.3 on its own needs 61.7 seconds for all three steps and costs almost twice as much.
According to Cloudflare, Clairic can't yet reliably handle longer chains of calculations. For now, developers should run those in their own code.
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来源：The Decoder：AI News · the-decoder.com