AI Interfaces
Semantic Cache Monitor
A compact cache dashboard for hit rate, cost savings, latency reduction, and similarity policy.
Installation
Copy and paste the code into your project.
Accessibility notes
Cache effectiveness is shown with exact values and progress semantics instead of relying on the visual bar.
Semantic cache
Response reuse
- Hit rate
- 68%
- Saved
- $42.18
- Latency
- −310ms
Similarity threshold 0.92 · Entries expire after 24 hours
Preview accent
const metrics = [{ label: "Hit rate", value: "68%" }, { label: "Saved", value: "$42.18" }, { label: "Latency", value: "−310ms" }];
export function SemanticCacheMonitor() {
return <section className="w-full max-w-sm rounded-xl border border-white/12 bg-[#0b0f14]/92 p-4 shadow-2xl">
<header className="flex items-start justify-between gap-4"><div><p className="text-xs font-semibold uppercase tracking-[0.18em] text-[#40E0D0]">Semantic cache</p><h3 className="mt-1 text-base font-bold text-white">Response reuse</h3></div><span className="rounded-full bg-[#40E0D0]/10 px-2.5 py-1 text-[0.65rem] font-bold text-[#d8fffb]">Healthy</span></header>
<dl className="mt-4 grid grid-cols-3 gap-2">{metrics.map((metric) => <div key={metric.label} className="rounded-lg border border-white/9 bg-white/[0.03] p-3"><dt className="text-[0.65rem] text-slate-500">{metric.label}</dt><dd className="mt-2 text-lg font-black text-white">{metric.value}</dd></div>)}</dl>
<div className="mt-4 h-2 rounded-full bg-white/[0.06]" role="progressbar" aria-label="Semantic cache hit rate" aria-valuenow={68} aria-valuemin={0} aria-valuemax={100}><span className="block h-full w-[68%] rounded-full bg-gradient-to-r from-[#40E0D0] to-[#a78bfa]" /></div>
<p className="mt-4 text-[0.65rem] leading-5 text-slate-500">Similarity threshold 0.92 · Entries expire after 24 hours</p>
</section>;
}<SemanticCacheMonitor />Related components
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- 2
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—
Standby
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- First token240ms
- Reasoning680ms
- Streaming1.4s
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A delivery trace for first-token latency, reasoning time, streaming speed, and total completion.