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Glossary · Prompt Caching

Prompt Caching

Prompt caching is a technique that stores the processed form of a repeated prompt prefix so the model can skip recomputing it on later requests, cutting latency and cost.

When many requests share a long, stable prefix — a system prompt or a large document — caching that prefix avoids reprocessing it each time, reducing both latency and token cost.

It is a practical optimization for high-volume agents, lowering the inference cost component of AI labor.

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Related terms
Token Cost
Token cost is the price charged per unit of text an AI model processes, where a token is roughly a few characters of inp…
Context Window
A context window is the maximum amount of text, measured in tokens, that a language model can consider at once when gene…
Batch Inference
Batch inference is the processing of many model requests together in a single run, trading higher latency per request fo…
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