Why your Anthropic prompt caching probably isn't working (and the npm package I built to fix it)
The article discusses issues with Anthropic's prompt caching and introduces a solution through an npm package. It highlights four common pitfalls that can lead to ineffective caching, resulting in higher costs. The author, a solo developer, created a tool to help users measure and optimize their caching strategies effectively.
- ▪Prompt caching is designed to reduce costs by allowing stable prefixes to be cached at a lower rate.
- ▪Common issues include misplaced cache markers, prefix drift, and reduced cache TTL, which can lead to unexpected costs.
- ▪The author developed the prompt-cache-optimizer package to address measurement problems and improve caching efficiency.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3941295) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Leonhail Paypa Posted on May 20 Why your Anthropic prompt caching probably isn't working (and the npm package I built to fix it) #claude #ai #opensource #typescript I'm a solo developer with about five years of experience, mostly outside AI. The last few months I've been getting serious about it — reading docs, building small things with Claude, learning how it differs from the web APIs I'm used to.
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