# Optimizing prompt cache

DevFeed: [Optimizing prompt cache](<https://devfeed.tech/articles/optimizing-prompt-cache-29084.md>)

Original publisher: [Read original article](<https://blog.alexewerlof.com/p/optimizing-prompt-cache>)

Author: Alex Ewerlöf

Published: 2026-08-08T14:07:13Z

Content type: article

Language: en

Sources: [Alex Ewerlof Notes](<https://devfeed.tech/sources/alex-ewerlof-notes.md>)

Topics: [Caching](<https://devfeed.tech/topics/caching.md>), [Cache](<https://devfeed.tech/topics/cache.md>), [LLMs](<https://devfeed.tech/topics/llms.md>)

Tags: [cache](<https://devfeed.tech/tags/cache.md>), [caching](<https://devfeed.tech/tags/caching.md>), [cost](<https://devfeed.tech/tags/cost.md>), [token](<https://devfeed.tech/tags/token.md>)

## AI overview

This visual article explains prompt caching in LLM APIs and its effect on token cost per task. It describes how requests are tokenized, prefetched into a key-value cache, and decoded, then discusses optimizing the cache to reduce costs.

## Source excerpt

One of the best ways to save token cost