Unverified50% confidenceFactExact time
Caching inputs is especially important for agentic applications because agents resend very long prompts at every step.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
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Related Claims
UnverifiedAgent类应用因每轮对话携带几乎相同的系统提示词和追加历史记录，前缀重叠率高，天然适合缓存优化以降低成本77% similarUnverifiedAutomatic prompt tuning consumes a large number of tokens in the model's back-and-forth self-correction process, incurring additional API call, token, and latency overhead.73% similarUnverifiedFor Agent applications with long system prompts or repeated use of the same documents, having the high-frequency repeated portions appear stably at the beginning of requests can improve cache hit rates and leverage lower pricing tiers.72% similar
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