mirror of
https://github.com/NousResearch/hermes-agent.git
synced 2026-07-21 16:18:55 +00:00
Replaces the dozen ad-hoc measure-*/profile-* scripts (each reinventing the CDP client — 4 different copies — plus its own arg parsing, stats, output path, and none with a baseline) with one framework under scripts/perf/: - lib/cdp.mjs one CDP client + target discovery + typing + CPU-profile wrapper + DOM selectors - lib/stats.mjs percentiles, histograms, CPU-profile self-time ranking - lib/baseline.mjs load/compare/update baseline + regression gate (new capability) - lib/launch.mjs attach, OR spawn a fully ISOLATED instance - scenarios/* one module per measurement, registered in scenarios/index.mjs - run.mjs / serve.mjs, baseline.json, README.md Isolation solves the long-standing measurement blocker: a running `hgui` held the Electron single-instance lock, so a second instance quit. `--spawn` / `perf:serve` launch with their own --user-data-dir (separate lock scope), their own HERMES_HOME (separate backend/sessions, config seeded from ~/.hermes so it reaches a chat view without onboarding), and their own --remote-debugging-port. Synthetic scenarios drive $messages via window.__PERF_DRIVE__, so no LLM credits. Scenario -> sunset script mapping: stream <- measure-synthetic-stream, profile-synth-stream, profile-long-stream stream --real <- measure-real-stream, profile-real-stream keystroke <- measure-latency, profile-typing, leak-typing transcript <- (new: long-transcript mount cost) submit <- measure-submit, measure-jump session-switch <- profile-session-switch profile-switch <- measure-profile-switch CPU profiling is now a cross-cutting --cpuprofile flag, not 5 separate scripts. CI-tier scenarios (stream, keystroke, transcript) need no backend/credits and are gated against baseline.json (seed values; re-capture with --update-baseline on a reference device). Backend-tier scenarios are report-only. perf-probe.tsx gains loadTranscript() for the transcript scenario. No core files touched; isolation is via CLI args, not env-gated app changes. Verified: node --check all modules, tsc, eslint, and a unit smoke of the stats + regression-gate logic. The end-to-end GUI run (which opens a window) is left to run interactively via `npm run perf -- --spawn`.
84 lines
2.5 KiB
JavaScript
84 lines
2.5 KiB
JavaScript
// Baseline + regression gate. This is the capability the old one-off scripts
|
|
// never had: measured numbers are compared against a committed baseline so a
|
|
// PR that regresses streaming/typing/mount cost fails loudly instead of
|
|
// silently drifting.
|
|
//
|
|
// Every tracked metric is "lower is better" (longtask counts, frame/keystroke
|
|
// percentiles, mount ms). A metric regresses when it exceeds
|
|
// `baseline * (1 + tolFrac) + tolAbs`. tolAbs absorbs sub-millisecond jitter on
|
|
// already-fast metrics so they don't false-positive.
|
|
|
|
import { readFileSync, writeFileSync } from 'node:fs'
|
|
|
|
const DEFAULT_TOLERANCE = { tolFrac: 0.25, tolAbs: 1 }
|
|
|
|
export function loadBaseline(path) {
|
|
try {
|
|
return JSON.parse(readFileSync(path, 'utf8'))
|
|
} catch {
|
|
return { _meta: {}, scenarios: {} }
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Compare a scenario's measured metrics against the baseline.
|
|
* @returns {{ rows: Array, regressed: boolean }}
|
|
*/
|
|
export function compareScenario(name, measured, baseline) {
|
|
const base = baseline.scenarios?.[name]
|
|
const tol = { ...DEFAULT_TOLERANCE, ...(base?.tolerance ?? {}) }
|
|
const rows = []
|
|
let regressed = false
|
|
|
|
for (const [metric, value] of Object.entries(measured)) {
|
|
if (typeof value !== 'number') {
|
|
continue
|
|
}
|
|
|
|
const baseValue = base?.metrics?.[metric]
|
|
|
|
if (typeof baseValue !== 'number') {
|
|
rows.push({ metric, measured: value, baseline: null, limit: null, status: 'new' })
|
|
|
|
continue
|
|
}
|
|
|
|
const limit = baseValue * (1 + tol.tolFrac) + tol.tolAbs
|
|
const over = value > limit
|
|
regressed = regressed || over
|
|
|
|
rows.push({
|
|
metric,
|
|
measured: value,
|
|
baseline: baseValue,
|
|
limit: Math.round(limit * 100) / 100,
|
|
deltaPct: baseValue ? Math.round(((value - baseValue) / baseValue) * 1000) / 10 : null,
|
|
status: over ? 'REGRESSED' : 'ok'
|
|
})
|
|
}
|
|
|
|
return { rows, regressed }
|
|
}
|
|
|
|
/** Write measured metrics back as the new baseline for the given scenarios. */
|
|
export function updateBaseline(path, results) {
|
|
const baseline = loadBaseline(path)
|
|
baseline.scenarios ??= {}
|
|
|
|
for (const { name, metrics } of results) {
|
|
const numeric = Object.fromEntries(Object.entries(metrics).filter(([, v]) => typeof v === 'number'))
|
|
const prev = baseline.scenarios[name] ?? {}
|
|
baseline.scenarios[name] = { ...prev, metrics: numeric }
|
|
}
|
|
|
|
baseline._meta = {
|
|
...baseline._meta,
|
|
updated: new Date().toISOString(),
|
|
platform: `${process.platform}-${process.arch}`,
|
|
node: process.version
|
|
}
|
|
|
|
writeFileSync(path, `${JSON.stringify(baseline, null, 2)}\n`)
|
|
}
|
|
|
|
export { DEFAULT_TOLERANCE }
|