Stop Over-Engineering LLM Caching: The 1-Line Local Semantic Cache for OpenAI
Every time an LLM application hits production, developers run into the same two wall-clapping metrics: latency and API cost. A standard call to gpt-4o or gpt-4-turbo takes anywhere from 1,200ms to 2,500ms. If your users repeat similar queries or refresh a dashboard, they are sitting around waiting…
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- 2026-11-10 10:58 · DEV Community — AI
Stop Over-Engineering LLM Caching: The 1-Line Local Semantic Cache for OpenAI