Unverified50% confidenceFactExact time
HotKV's caching mechanism first does exact matching (SHA-256 hashing of the normalized question, model identifier, and system prompt version), then semantic matching (using OpenAI text-embedding-3-small to generate vectors, with a hit when cosine similarity exceeds the threshold), and only when neither hits does it call the model and write back to the cache.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
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Related Claims
UnverifiedUsing a content hash (such as a commit SHA) as the cache key ensures that analysis results for the same version of code are consistent and reusable.70% similarUnverifiedKV Cache matching requires strict prefix consistency — only when the beginning of a request exactly matches a cached record can the subsequent new content continue from the cache.68% similarUnverifiedThe self-describing nature of Multihash means that when upgrading the hash algorithm from SHA-256 to SHA-3, identifiers for existing data can still be correctly parsed without ambiguity.67% similarVerifiedThe KV Cache mechanism can cache repeated prefix content, and the more concise the system prompt, the higher the cache hit rate.65% similarUnverified通过对系统提示内容生成 SHA-256 等哈希值并公开，用户可在不获取明文的前提下验证提示词版本未被篡改64% similar
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