Unverified50% confidenceFactExact time
Prefix caching leverages the fact that the system prompt and conversation history remain unchanged across turns in long conversations, saving the KV cache of the fixed prefix for reuse in new turns to avoid redundant computation.
1
Sources
50%
Confidence
Long-term
Relevance
9/10/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedLong conversations package and resend the entire context history to the model, which is counted toward the token usage of each request; the longer the conversation, the more tokens a single request consumes.76% similarUnverified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73% similarUnverifiedTo achieve multi-turn conversational coherence, developers must concatenate the conversation history into the input at each call, or inject relevant context into the prompt by retrieving it through an external memory system.73% similarUnverifiedWhen streaming output is interrupted by the user, the entire conversation history must be fully retained, and users should be able to see the complete chat record upon reopening73% similarUnverifiedTypical scenarios that benefit from prefix caching include multi-turn conversations sharing the same system prompt, repeated document contexts in RAG, and stable codebase prefixes in code completion.72% similar
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