> ## Documentation Index
> Fetch the complete documentation index at: https://docs.weflayr.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Prompt caching optimisation
> Providers charge less for tokens at the start of a prompt they have already seen.
When two calls share the same opening text, the second one can reuse that prefix from cache instead of paying full price for it.
## Improvements it proposes
Weflayr looks at each feature's real calls, measures how much of that achievable caching you already capture, and proposes two kinds of improvements to capture the rest:
* **Config changes**: finds the best the caching settings based your AI calls and on each provider's own caching rules (retention, explicit vs implicit caching, minimum cacheable length, breakpoints and so on).
* **Prompt-structure changes**: reorders the prompts when it makes sense so more of it can be cached.
Open a feature to see its analysis.
## Details on prompts
**View details on prompts** on a finding shows the real calls it applies to, each as it ran versus with the fix, highlighting the tokens that would move into cache.
