AINewsnow

SimHash Cache: Cutting 40% of Token Calls on a Free LLM Tier

This story is from 2026-09-04. It is preserved in the archive; the latest stories are on the live feed.

重复的提示词是免费token的最大浪费。同一个问题问两次，就付了两次钱。缓存可以拦截这些重复。大多数LLM缓存实现需要外部依赖。我构建了一个只用标准库的版本。它基于SimHash。它能在API调用前识别相似请求。 目标环境是MonkeyCode的免费层。Disclosure: This article was prepared as part of MonkeyCode's product outreach. 免费额度是1000万token。配额会变化。上线前请查看仪表盘。 重复请求比你想的多 真实工作负载充满了近似重复。同一个错误信息被发送给LLM两次。同一个代码片段被请求解释三次。每次措…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-09-04 12:06 · DEV Community — AI
    SimHash Cache: Cutting 40% of Token Calls on a Free LLM Tier

More stories

  1. Trump announces a new 'AI Force,' but says he will not 'stifle' AI — Business Insider AI
  2. Anthropic, OpenAI, SpaceXAI, Google sued over call to ‘pace’ AI development — Politico Technology
  3. Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
  4. Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
  5. Google's Gemini AI hacks three other companies during security test — Sky News Technology
  6. Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology
  7. OpenAI reveals cases of ‘concerning’ AI behaviour as it announces new disclosure system — The Guardian AI
  8. AI's role in building AI surging? Anthropic says Claude now leads 26% of its R&D — Mint AI

Get the daily brief of stories like this at 6:30 every morning →