应用和智能体在整个工作流中会做出许多小决策：如何对输入进行分类、将请求路由到哪里，或接下来采取哪个操作。单独来看，它们很简单。但在规模化时，它们的延迟和成本会累积起来。
今天，我们正式发布 Decisions API。Decisions API 由 GPT‑6 Luna 构建，将 Luna 的智能聚焦于答案有界的问题，帮助应用和智能体基于文本、图像和结构化输入做出近乎实时的决策，通过 Responses API 比 GPT‑6 Luna 快最多 10 倍。
自公开测试版以来，我们新增了原生 GPT‑Live 集成、用于复用上下文的提示缓存，以及在美国和欧盟的推理驻留。开发者还可以传入原生 JSON 输入、在问题指令中包含图像，并且每个请求最多可提出 400 个问题，是此前上限的两倍。我们还持续改进延迟，包括在亚洲多个地区增加容量。
团队如何使用 Decisions API
Decisions 的早期采用已表明其适用于各种用例。
在 OpenAI 内部，各团队正在将 Decisions API 应用于产品和业务工作流。dots 团队正在使用它来缩短响应时间并提升交互性。我们的个人财务团队正在使用它对交易描述进行分类，而我们的传播团队正在使用 Decisions 按主题和评分对报道进行分类，判断其是强化还是挑战关键叙事——帮助识别哪些内容值得更仔细审查。
这些早期示例表明，快速、结构化的决策如何将传入信息转化为广泛用例中的有用行动。客户对 Decisions API 的应用同样广泛，从准确归因 AI 成本到让语言学习体验更具交互性。
1 / 5
选择你的应用所需的决策类型
使用 Decisions API 很简单：开发者定义一个问题和其允许的答案，然后以文本、图像或原生 JSON 提供上下文。该 API 返回三种受支持答案类型之一——概率、选择或评分——应用可用其决定接下来发生什么。答案类型的多样性使 Decisions 适用于各种用例。 Decisions API 支持三种答案类型：
| 类型 | 用于 | 主要结果 |
|---|---|---|
| predicate | 估计某个条件为真的概率，例如产品是否有可见损坏。 | probability：条件为真的 0 到 1 的估计值。 |
| choice | 从你预定义的选项中选择一个，例如智能体应继续、重试还是请求澄清。 | choice：你提供的值之一。响应还包括概率和置信度。 |
| score | 根据评分标准中的有序等级对输入进行评分，例如损坏的严重程度。 | score：等级索引的概率加权平均值。 |
使用 Decisions API 和 GPT‑Live 构建实时语音体验
借助 GPT‑Live，你可以为语音应用带来自然、富有表现力的对话，并通过流畅的打断处理让对话保持连贯。Decisions API 现在与 GPT‑Live 原生集成（在新窗口中打开），帮助应用在实时对话中做出快速、聚焦的决策。客服智能体可以决定是提出澄清问题、路由请求，还是升级问题。虚拟形象可以在用户对其说话时调整面部表情，并根据用户的话语以眨眼或微笑回应，从而创造更具交互性的体验。
下面的示例使用转录更新来选择虚拟形象的表情。将此配置添加到现有 GPT‑Live 会话中的 session.triggers。
Live 会发出 decision.event；应用读取所选的 reaction 并相应地为角色制作动画。了解更多关于将语音连接到 Decisions API 的信息。（在新窗口中打开）
亲自试用 Decisions 与 GPT‑Live
表情面板
点击一张脸进行预览。
实时决策
观看 Decisions API 如何根据你们各自所说的话选择面部表情。
你的话语
在你说话时观看反应。
助手的话语
在助手回复时观看面部表情。
试着说
我为我的猫排练了试镜。她中途走开了。
此演示有时间限制。使用它即表示你同意 OpenAI 的条款并确认我们的隐私政策。
构建并评估你的第一个决策
Decisions API 今日正式发布，通过专用 Decisions 端点提供 GPT‑6 Luna。请参阅定价和可用性指南（在新窗口中打开）了解当前费率和缓存详情。
从你的应用经常做出的一个重复性决策开始。定义问题、可能的答案以及区分它们所需的上下文。在 Decisions Playground（在新窗口中打开）中使用你自己的文本或图像，在反映真实用法的示例上测试它，或按照开发者指南（在新窗口中打开）发出你的第一个请求。
Decisions API 的费用为每百万输入 token 0.10 美元。缓存输入的费用为每百万 token 0.01 美元。有关 30 分钟和 12 小时缓存写入，请阅读我们的定价指南。（在新窗口中打开）你只需为输入 token 付费：没有输出 token 费用。美国和欧盟提供区域处理，符合条件的客户可使用零数据保留（在新窗口中打开）。详情请参阅定价和缓存（在新窗口中打开）以及数据控制（在新窗口中打开）。
Applications and agents make many small decisions throughout a workflow: how to classify an input, where to route a request, or which action to take next. Individually, they are simple. At scale, their latency and cost add up.
Today, we’re making the Decisions API generally available. Built with GPT‑6 Luna, the Decisions API focuses Luna’s intelligence on questions with bounded answers, helping applications and agents make near real-time decisions from text, images, and structured inputs up to 10x faster than GPT‑6 Luna through the Responses API.
Since public beta, we’ve added a native GPT‑Live integration, prompt caching for reused context, and inference residency in the US and EU. Developers can also pass native JSON inputs, include images in question instructions, and ask up to 400 questions per request, twice the previous limit. We’ve also continued to improve latency, including additional capacity in several regions in Asia.
How teams are using the Decisions API
Early adoption of Decisions has shown its applicability across a variety of use cases.
Across OpenAI, teams are applying the Decisions API across product and business workflows. The dots team is using it to reduce response times and improve interactivity. Our Personal Finance team is using it to categorize transaction descriptions, while our Communications team is using Decisions to classify coverage by the themes and scores whether it reinforces or challenges key narratives—helping identify what warrants closer review.
These early examples show how fast, structured decision-making can turn incoming information into useful action across a wide range of use cases. Customers are applying the Decisions API just as broadly, from accurately attributing AI costs to making language-learning experiences more interactive.
1 of 5
Select the type of decision your application needs
Using the Decisions API is simple: developers define a question and its allowed answers, then provide context as text, images, or native JSON. The API returns one of three supported answer types—a probability, choice, or score—that applications can use to determine what happens next. The variety of answer types allows Decisions to be applicable across a wide variety of use cases. Decisions API supports three answer types:
| Type | Use it to | Main result |
|---|---|---|
| predicate | Estimate the probability that a condition is true, such as whether a product has visible damage. | probability: an estimate from 0 to 1 that the condition is true. |
| choice | Select one of your predefined options, such as whether an agent should continue, retry, or ask for clarification. | choice: one of your supplied values. The response also includes probabilities and confidence. |
| score | Rate an input against ordered levels in a rubric, such as the severity of damage. | score: the probability-weighted average of the level indices. |
Build real-time voice experiences with the Decisions API and GPT‑Live
With GPT‑Live, you can bring natural, expressive conversation to your voice applications, with smooth interruption handling that keeps conversations flowing. Decisions API now integrates natively with GPT‑Live(opens in a new window), helping applications make fast, focused decisions during live conversations. A customer support agent can decide whether to ask a clarifying question, route a request, or escalate an issue. An avatar can adjust its facial expressions as a user speaks to it, and based on the user’s words, respond with a wink or a smile to create a more interactive experience.
The example below uses transcript updates to select an avatar’s expression. Add this configuration to session.triggers in an existing GPT‑Live session.
Live emits a decision.event; the application reads the selected reaction and animates the character accordingly. Learn more about connecting voice to Decisions API. (opens in a new window)
Try Decisions with GPT‑Live for yourself
Expression palette
Tap a face to preview it.
Live decisions
Watch as the Decisions API chooses a facial expression based on what each of you says.
Your words
Watch the reaction as you speak.
Assistant’s words
Watch the face as the assistant replies.
Try saying
I rehearsed my audition for my cat. She walked out halfway through.
This demo is time-limited. By using it, you agree to OpenAI's Terms and acknowledge our Privacy Policy.
Build and evaluate your first decision
Decisions API is generally available today with GPT‑6 Luna through the dedicated Decisions endpoint. See the pricing and availability guide(opens in a new window) for current rates and caching details.
Start with one recurring decision your application makes often. Define the question, the possible answers, and the context needed to distinguish them. Test it on examples that reflect real usage, in the Decisions Playground(opens in a new window) with your own text or images, or follow the developer guide(opens in a new window) to make your first request.
Decisions API costs $0.10 per million input tokens. Cached input costs $0.01 per million tokens. For 30-minute and 12-hour cached writes, read our pricing guide.(opens in a new window) You only pay for input tokens: there are no output-token charges. Regional processing is available in the US and EU, and Zero Data Retention(opens in a new window) is available to eligible customers. See pricing and caching(opens in a new window) and data controls (opens in a new window)for details.
本文内容采集自官方网站，排版和翻译可能与原页面存在差异。
阅读官方全文