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English(EN) I put a timestamp in my system prompt, and the cache never hit

开发者的时间戳破坏了 LLM 提示缓存,增加了成本

一位开发者发现,在系统提示中包含动态时间戳会阻止提示缓存工作,从而导致 API 成本增加。提示缓存依赖于相同的提示前缀来重用已处理的提示片段,但不断变化的时间戳使每次请求的缓存都失效。这导致系统为每个提示支付更高的“写入”成本,而从未实现“读取”成本节省,这可能使整个过程比完全禁用缓存还要昂贵。 AI

影响 强调了 LLM API 交互中动态提示的潜在成本影响。

排序理由 开发者分享了关于 LLM API 使用和缓存机制的技术见解。

在 dev.to — LLM tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

开发者的时间戳破坏了 LLM 提示缓存,增加了成本

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开发者分享了关于 LLM API 使用和缓存机制的技术见解。
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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.
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infra, product
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报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Daffa Izzuddin ·

    我在系统提示中添加了时间戳,但缓存从未命中

    <p>I did not know prompt caching existed.</p> <p>I knew the API billed me per token, and I knew a long conversation cost more than a short one. What I did not know was that providers keep the processed prefix of a prompt around and charge a fraction of the price to reuse it. So w…