Files
hermes-agent/apps/desktop/scripts/perf
Brooklyn Nicholson c59e30f14c perf: cover all six attach RPCs and report surface exposure
The bench timed two of the six RPCs the fix touches. Extend it to
image.attach, pdf.attach, clipboard.paste and image.detach so every changed
handler carries a number rather than an inference.

Also report which surfaces reach these RPCs at all, since "why was the GUI
special" is the first question the fix invites. CLI attaches inline in its
own turn path with the agent already built, so it cannot reach the stall;
the TUI calls the same RPCs and was equally exposed. The difference was hit
rate, not code path.
2026-08-14 13:24:40 -07:00
..
…

Desktop perf harness

One systematized way to measure desktop rendering/interaction performance, diff it against a committed baseline, and fail on regressions. It replaces the dozen one-off measure-* / profile-* scripts that each reinvented the CDP client, arg parsing, stats, and output (and never had a baseline).

Quick start

# Isolated instance (recommended) — no running app or LLM credits needed.
# Its own --user-data-dir + HERMES_HOME means it never collides with `hgui`.
npm run perf -- --spawn

# Or: launch an isolated instance once, attach repeatedly (faster iteration).
npm run perf:serve            # leaves an instance on :9222
npm run perf                  # attaches, runs the CI suite, gates on baseline

# One scenario, with a CPU profile:
npm run perf -- stream --cpuprofile --tokens 800

# Representative PRODUCTION numbers (minified React, not the ~3x-slower dev build):
npm run perf -- cold-start stream keystroke transcript --spawn --prod

# Re-capture the baseline on your reference device, then commit baseline.json:
npm run perf -- cold-start stream keystroke transcript --spawn --prod --update-baseline

Dev vs prod

By default the harness measures the dev renderer (fast to spin up, good for relative regression checks). Pass --prod (with --spawn) to build a production renderer with the probe included (VITE_PERF_PROBE=1) and measure minified React — the representative shipped numbers. The committed baseline is captured with --prod.

Why isolation matters

The measurement this harness exists to run was historically blocked: a running hgui holds the Electron single-instance lock, so a second instance quit immediately. --spawn / perf:serve launch with their own --user-data-dir (separate lock scope), their own HERMES_HOME (separate backend + sessions), and their own --remote-debugging-port. Synthetic scenarios drive $messages directly via window.__PERF_DRIVE__, so no LLM credits are spent.

Scenarios

scenario tier measures replaces
stream ci streaming longtasks, frame p95/p99, mutation cadence measure-synthetic-stream, profile-synth-stream, profile-long-stream
stream --real backend same, from a real LLM stream measure-real-stream, profile-real-stream
keystroke ci composer keystroke → paint latency measure-latency, profile-typing, leak-typing
transcript ci large-transcript mount + paint cost (new)
render-churn ci per-component render attribution + store churn while N tabs stream (new)
idle-cost report busy-but-silent tiles: idle commit rate, + fps while resizing / typing (new)
right-pane report file tree + persistent xterm tabs under chat/terminal output and split dragging (new)
cold-start cold launch → CDP → driver → first paint (fresh spawn/run) (new)
first-token backend Enter → first assistant token painted (TTFT) (new)
submit backend Enter → cleared → user msg painted, scroll jump measure-submit, measure-jump
session-switch backend route → first-paint → settle profile-session-switch
session-load backend how far a session's transcript moves after first paint (new)
profile-switch backend rail click → sidebar settled measure-profile-switch

ci + cold scenarios need no backend/credits and are gated against baseline.json (cold-start requires --spawn since it measures a fresh launch, and must be run in its own invocation). backend scenarios need a live backend (and --spawn or a real session/credits) and are report-only.

CPU profiling is a cross-cutting --cpuprofile flag on any scenario (it wraps the run in Profiler.start/stop and prints a top-self-time table), replacing every standalone profile-* script.

Adding a scenario

Create scenarios/<name>.mjs exporting { name, tier, description, run(cdp, opts) } where run returns { metrics, detail } (metrics = flat numbers, lower is better), then register it in scenarios/index.mjs. If it's ci, add a baseline.json entry (or run --update-baseline).

Layout

  • lib/cdp.mjs — the 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 the baseline + regression gate.
  • lib/launch.mjs — attach, or spawn a fully isolated instance.
  • scenarios/ — one module per measurement.
  • run.mjs — entrypoint. serve.mjs — standalone isolated launcher.

Not migrated (kept as dev utilities)

eval.mjs, reload.mjs, reload-renderer.mjs, probe-renderer.mjs, probe-thread.mjs, click-session.mjs, diag-*.mjs are interactive dev helpers, not benchmarks. They can adopt lib/cdp.mjs in a follow-up.