@juspay/neurolink/dist/proxy/proxyRuntimeMetrics.js

The pipe layer of an AI nervous system: one interface connecting provider neurons to your application, across three inference types — generate, stream and decide. `decide` returns typed, calibrated judgements from a non-generative model (~400ms, ~$0.00002

import { monitorEventLoopDelay, performance } from "node:perf_hooks";
import { availableParallelism, loadavg } from "node:os";
/** Samples use actual elapsed time, including delayed timers under host load. */
export function startProxyRuntimeMetrics(emit) {
    const histogram = monitorEventLoopDelay({ resolution: 20 });
    histogram.enable();
    let previousCpu = process.cpuUsage();
    let previousTime = performance.now();
    const timer = setInterval(() => {
        const now = performance.now();
        const cpu = process.cpuUsage();
        const intervalMs = now - previousTime;
        emit({
            intervalMs,
            cpuPercentOneCore: ((cpu.user - previousCpu.user + cpu.system - previousCpu.system) /
                (intervalMs * 1000)) *
                100,
            rssBytes: process.memoryUsage().rss,
            heapUsedBytes: process.memoryUsage().heapUsed,
            eventLoopDelayP99Ms: histogram.count ? histogram.percentile(99) / 1e6 : 0,
            eventLoopDelayMaxMs: histogram.count ? histogram.max / 1e6 : 0,
            hostLoad1m: loadavg()[0],
            availableParallelism: availableParallelism(),
        });
        previousCpu = cpu;
        previousTime = now;
        histogram.reset();
    }, 10_000);
    timer.unref();
    return () => {
        clearInterval(timer);
        histogram.disable();
    };
}