English(EN) Routing at Scale: OpenAI's Decisions API, Luna, and the State of Fast AI Classification

OpenAI 发布 Decisions API，实现快速、低成本的 AI 分类

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-01 09:11

OpenAI 推出了新的 Decisions API，旨在解决使用大型语言模型进行简单分类任务时出现的延迟和成本问题。该 API 利用轻量级的 Luna 模型，提供快速、经济高效的离散分类，使开发人员能够优化自动化管道和代理工作流。通过将输出限制在预定义选项中，Decisions API 提供了高速概率分布，这对于代理转向、工具委托和高容量图像分类等任务至关重要。 AI

影响简化了代理工作流和高吞吐量分类，降低了开发人员的延迟和成本。

排序理由主要 AI 实验室针对特定开发者工具发布产品。

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dev.to — LLM tag TIER_1 English(EN) · Shraddha bhat · 2026-10-01 09:11

大规模路由：OpenAI的决策API、Luna与快速AI分类现状

<p>High-latency LLM calls are often overkill for simple branching logic, forcing developers to balance accuracy against execution speed. OpenAI's newly announced Decisions API tackles this problem directly by providing high-speed, cost-effective discrete classifications for autom…

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大规模路由：OpenAI的决策API、Luna与快速AI分类现状

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