一位 Reddit 用户正在询问 OpenAI 的 Responses API 中的一个参数的功能。问题的核心在于该参数是否可以通过防止重复传输相同信息来优化成本，特别是在 AI 模型越来越大的上下文窗口成本不断增加的背景下。 AI
影响 此查询突显了用户对 AI API 使用成本优化以及上下文窗口管理的兴趣。
排序理由 用户关于产品功能的提问，而非产品发布或重大行业事件。
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
OpenAI API 用户询问输入令牌优化参数
本文如何被排名
- Signal score
- 0 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Commentary
- 用户关于产品功能的提问，而非产品发布或重大行业事件。
- Source corroboration
- Single-source cluster
- Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
- Topics
- product, infra
- Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
- AI-industry relevance
- High
- Clearly on-topic for AI-industry coverage.
- Story freshness
- 103 days old
- Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.
完整方法见我们的编辑标准。
报道来源 [1]
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Responses API 是否存储参数以节省输入令牌？
<!-- SC_OFF --><div class="md"><p>Since most of the model costs is the growing context, sending the same information over and over, does this parameter optimize this issue?</p> </div><!-- SC_ON -->   submitted by   <a href="https://www.reddit.com/user/mycall"> /u/mycall <…