Unverified50% confidenceTradeoffExact time
Introducing fuzzy semantic matching at the caching layer is essentially trading accuracy for performance, and may return incorrect answers that the user did not request.
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50%
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Long-term
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9/11/2026
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UnverifiedPrompt 缓存依赖于前缀的精确匹配，一旦技能定义的顺序或内容发生微小变化，缓存即失效78% similarUnverified语义缓存命中判断通常设置预设相似度阈值（例如0.9），超过则直接返回缓存答案跳过LLM调用74% similarUnverified语义缓存的缓存失效比传统缓存更复杂，因为语义匹配边界模糊，旧答案可能在某阈值下仍被命中73% similarVerifiedThe semantic caching mechanism vectorizes and stores historical responses to similar requests, and when semantic similarity exceeds a threshold, it directly returns cached results to reduce upstream API call frequency and costs72% similar
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