Unverified50% confidenceFactExact time
提示词缓存本质上是在KV缓存层面做持久化，将Transformer注意力生成的Key和Value张量保留供后续请求复用
1
Sources
50%
Confidence
Long-term
Relevance
7/8/2026
First Seen
Sources
Claude Sonnet 5接入Devin：编程性能升级，配额消耗降低30%
rss6/30/2026
Related Claims
UnverifiedAnthropic's Prompt Caching leverages the KV Cache mechanism in the Transformer architecture to reduce latency and cost by caching the key-value states corresponding to shared prompt prefixes.78% similarUnverifiedThe core principle of prompt caching is cross-request reuse of the KV Cache, where already-computed KV states can be cached and reused when multiple requests share the same prefix.78% similarUnverifiedPrefix Caching technology persistently stores already-computed KV vectors on the server side, allowing direct reuse when new requests share a large number of repeated prefixes with previous requests, with the matched portion billed at the cache price.71% similarUnverified定期重申关键指令、将关键规则附在最新输入附近能有效刷新模型对指令的记忆70% similarVerifiedKV Cache通过将已计算的键值对持久化存储，使相同Prompt前缀的后续请求可直接复用，跳过重复的矩阵运算69% similar
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