Verified70% confidenceSolutionExact time
The 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 costs
4
Sources
70%
Confidence
Long-term
Relevance
7/13/2026
First Seen
Sources
Running Out of Codex Quota? An In-Depth Review of HeyRoute's GPT-5.5 Integration
bilibiliManCity-DeBruyne7/10/2026
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