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perf: expert speed mode + reliability hardening#3

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pAulseperformance wants to merge 12 commits intomainfrom
perf/expert-speed-pass
Open

perf: expert speed mode + reliability hardening#3
pAulseperformance wants to merge 12 commits intomainfrom
perf/expert-speed-pass

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@pAulseperformance
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Why

  • Improve runtime smoothness under load with adaptive quality and explicit performance mode behavior.
  • Reduce regressions by adding tests and CI quality gates for worker auth/request flows.
  • Harden worker request handling and token usage controls.

What

  • Added adaptive render quality and true performance-mode fast path in the quantum canvas runtime.
  • Reduced per-frame CPU/GPU pressure in hot loops and hand-synth update paths.
  • Refactored worker auth/request validation into dedicated modules with unit tests.
  • Added CI workflow for lint, typecheck, test, and build.
  • Fixed lint/compiler issues surfaced during stabilization.

Validation

  • npm run lint
  • npm run test
  • npm run build

…ed imports

- Extract use-hand-synth.ts (292 LOC) from App.tsx
- App.tsx: 491 to 298 LOC (under 300 limit)
- DevPanel: 715 to 360 LOC via HandTrackingPanel + TuningSliders
- QuantumCanvas: import * as THREE to named imports
- Add zustand-imperative-sync epilogue workflow
…versation log

- POST /api/forge: streams Llama 4 Scout response as SSE
- GET /api/forge/log: retrieve past forge conversations
- KV persistence via tee+waitUntil (zero client latency)
- TerminalIntake: streaming typewriter AI response with forging state
…ken bot protection

Phase 1: Pure CSS starfield renders in <50ms — no dead black screen
Phase 2: QuantumCanvas lazy-loaded (1.5MB → async), initial bundle 372KB
Phase 3: POST /api/forge requires HMAC-signed rip token (10min TTL, 5 uses)
  - POST /api/forge/token mints token on rip event
  - Bots without rip token get 401
  - TerminalIntake sends Bearer auth header
Copilot AI review requested due to automatic review settings March 31, 2026 16:55
@pAulseperformance
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@copilot please review this PR again.\n\nCommit: 3e60e6c\n\nWhy:\n- Improve runtime speed and stability under load.\n- Harden worker auth/request handling and add regression safeguards.\n\nWhat:\n- Adaptive quality + true performance-mode fast path in runtime canvas.\n- Reduced per-frame CPU/GPU overhead in hot loops and synth update paths.\n- Refactored worker auth/request validation into testable modules.\n- Added CI quality gates (lint/typecheck/test/build).

Agent-Logs-Url: https://github.com/ZPEVC/zpe-vc/sessions/bdad5089-96ae-4ee9-86d4-2d14578e6ca0

Co-authored-by: pAulseperformance <29057302+pAulseperformance@users.noreply.github.com>
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Copilot AI commented Mar 31, 2026

@copilot please review this PR again.\n\nCommit: 3e60e6c\n\nWhy:\n- Improve runtime speed and stability under load.\n- Harden worker auth/request handling and add regression safeguards.\n\nWhat:\n- Ad...

Reviewed the full commit (3e60e6c). Everything looks solid — lint, typecheck, and all 8 tests pass clean. One minor indentation typo was present on the ctx.waitUntil line in handleForge (2-space indent vs 4); fixed in 9e4de2d. All other changes — adaptive quality fast-path, KV-backed server-side token usage, secured /api/forge/log, and the extracted auth/request modules with tests — are correct and functioning as intended.

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Pull request overview

This PR improves runtime smoothness and hardens reliability by adding an explicit performance-mode fast path + adaptive quality in the Three.js “quantum canvas” runtime, and by introducing a Cloudflare Worker “forge” API with token gating, validation helpers, logging, and CI quality gates.

Changes:

  • Added performance-mode behavior and adaptive quality controls to reduce per-frame hot-loop work and GPU load.
  • Introduced Cloudflare Worker forge endpoints with request parsing/auth helpers, KV-backed usage/logging, plus Vitest unit tests.
  • Added a CI workflow to run lint, typecheck, tests, and build on PRs/pushes.

Reviewed changes

Copilot reviewed 27 out of 28 changed files in this pull request and generated 9 comments.

Show a summary per file
File Description
wrangler.jsonc Adds AI binding and KV namespace for forge usage/log storage.
vite.config.ts Adds Rollup manual chunking to improve caching/load performance for large deps.
src/worker/forge-request.ts Adds JSON content-type detection and idea parsing/validation.
src/worker/forge-request.test.ts Unit tests for forge request parsing/validation.
src/worker/forge-auth.ts Implements HMAC-signed bearer tokens with TTL/use limits and bearer parsing.
src/worker/forge-auth.test.ts Unit tests for signing/verifying tokens and expiry/tamper cases.
src/worker.ts Adds forge API routes, token minting, AI streaming, and KV persistence.
src/widgets/terminal-intake/ui/TerminalIntake.tsx Switches intake UX from mailto to streaming forge API + conversation UI.
src/widgets/dev-mode-button/DevModeButton.tsx Removes per-render randomness for particle sizes to stabilize visuals/perf.
src/shared/ui/button.tsx Adjusts exports (Button + ButtonProps) for UI button module.
src/features/quantum-canvas/ui/TuningSliders.tsx Extracts shader tuning UI into a dedicated component.
src/features/quantum-canvas/ui/SynthControls.tsx Throttles FFT band UI updates to reduce rerender pressure.
src/features/quantum-canvas/ui/QuantumCanvas.tsx Adds performanceMode, adaptive DPR/bloom quality tiers, perf sampling, and hot-loop optimizations.
src/features/quantum-canvas/ui/PresetControls.tsx Syncs preset loads/imports into the audio engine store.
src/features/quantum-canvas/ui/HandTrackingPanel.tsx Extracts hand tracking + performance controls UI from DevPanel.
src/features/quantum-canvas/ui/DevPanel.tsx Refactors DevPanel to use extracted sub-panels and cleaner state bridging.
src/features/quantum-canvas/lib/use-shader-presets.ts Makes malformed preset persistence failure handling explicit.
src/features/quantum-canvas/lib/use-auto-sim.ts Refactors sim point generation and timing to be deterministic and less jittery.
src/features/quantum-audio/lib/quantizer.ts Improves typing for scale frequency table initialization.
src/features/hand-tracking/ui/use-hand-synth.ts Extracts hand→audio bridge logic from App into a reusable hook with throttling.
src/features/hand-tracking/lib/looper.ts Simplifies event due logic signature.
src/features/hand-tracking/index.ts Re-exports useHandSynth.
src/app/starfield.css Adds CSS starfield placeholder background to reduce perceived load time.
src/app/globals.css Imports starfield CSS globally.
src/App.tsx Integrates forge token minting, performanceMode into QuantumCanvas, and extracted hand synth hook.
package.json Adds typecheck/test scripts and adds Vitest dependency.
package-lock.json Locks new dependency graph (Vitest and its transitive deps).
.github/workflows/ci.yml Adds CI job running lint/typecheck/test/build on PRs and main pushes.

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Comment thread src/worker.ts
Comment on lines +176 to +196
async function saveForgeLog(env: Env, idea: string, stream: ReadableStream): Promise<void> {
const reader = stream.getReader()
const decoder = new TextDecoder()
let fullResponse = ''

try {
while (true) {
const { done, value } = await reader.read()
if (done) break
const chunk = decoder.decode(value, { stream: true })
for (const line of chunk.split('\n')) {
if (line.startsWith('data: ')) {
const data = line.slice(6)
if (data === '[DONE]') continue
try {
const parsed = JSON.parse(data) as { response?: string }
if (parsed.response) fullResponse += parsed.response
} catch { /* skip non-JSON lines */ }
}
}
}
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saveForgeLog() parses the streamed SSE by splitting each decoded chunk on '\n' without carrying over a partial line between reads. If a JSON data: line is split across chunks (common with streaming), this will drop/garble payloads and produce incomplete or corrupted fullResponse. Consider keeping a buffer string across reads (like the client does) and only JSON-parse complete lines.

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Comment thread src/worker.ts
Comment on lines +136 to +144
const serverUses = await getServerTokenUses(env, verification.payload.nonce)
if (serverUses >= MAX_USES) {
return new Response(JSON.stringify({ error: 'Forge token usage limit reached' }), {
status: 401,
headers: { 'Content-Type': 'application/json' },
})
}
await incrementServerTokenUses(env, verification.payload.nonce)

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Forge token usage tracking in KV is vulnerable to concurrent-request races: multiple requests with the same nonce can all pass the serverUses check before incrementServerTokenUses() writes, allowing more than MAX_USES. If this limit is meant to be enforced, KV alone can’t provide atomic increments; consider a Durable Object (or another atomic counter mechanism) for nonce usage accounting.

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Comment thread src/worker.ts
Comment on lines +85 to +95
async function getServerTokenUses(env: Env, nonce: string): Promise<number> {
const value = await env.FORGE_LOG.get(`forge-token:${nonce}`)
if (!value) return 0
const parsed = Number(value)
return Number.isFinite(parsed) ? parsed : 0
}

async function incrementServerTokenUses(env: Env, nonce: string): Promise<number> {
const nextUses = (await getServerTokenUses(env, nonce)) + 1
await env.FORGE_LOG.put(`forge-token:${nonce}`, String(nextUses))
return nextUses
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KV keys for token uses (forge-token:${nonce}) are written without any TTL/expiration. Since tokens expire after TOKEN_TTL_MS, these counters will accumulate indefinitely and grow KV storage over time. Consider writing these counters with an expiration (e.g., slightly above TOKEN_TTL_MS) or periodically cleaning them up.

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Comment thread src/worker.ts
Comment on lines +199 to +204
const key = `forge-log:${Date.now()}`
await env.FORGE_LOG.put(key, JSON.stringify({
idea,
response: fullResponse,
timestamp: new Date().toISOString(),
}))
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Log entries are stored in KV without an expiration and use forge-log:${Date.now()} as the key. Two writes in the same millisecond can collide/overwrite, and logs will grow unbounded over time. Consider adding uniqueness to the key (e.g., timestamp + random UUID) and setting an expiration/retention policy via KV put options.

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Comment thread src/worker.ts
Comment on lines +40 to +47
// ── API Routes ──
if (url.pathname === '/api/forge/token' && request.method === 'POST') {
return mintForgeToken(env)
}

if (url.pathname === '/api/forge' && request.method === 'POST') {
return handleForge(request, env, ctx)
}
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The token-minting endpoint (POST /api/forge/token) is unauthenticated and can be called repeatedly to mint unlimited valid tokens. As a result, the bearer token gate doesn’t meaningfully limit abuse of /api/forge unless there’s a separate rate limit or challenge. Consider adding per-IP rate limiting, a proof-of-work/challenge, or restricting minting to same-origin with additional validation.

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return (
<Canvas
gl={{ antialias: false, alpha: false, powerPreference: 'high-performance', preserveDrawingBuffer: true }}
gl={{ antialias: false, alpha: false, powerPreference: 'high-performance' }}
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preserveDrawingBuffer: true was removed from the Canvas GL config. The app appears to rely on reading the canvas for screenshots/record thumbnails (ExportControls uses canvas.toBlob() and PresetControls draws the WebGL canvas into an offscreen 2D canvas). Without preserveDrawingBuffer, some browsers can return blank/cleared frames for these capture paths. If captures must remain reliable, consider keeping preserveDrawingBuffer (possibly only when capture UI is active) or rendering to an intermediate target specifically for export.

Suggested change
gl={{ antialias: false, alpha: false, powerPreference: 'high-performance' }}
gl={{ antialias: false, alpha: false, powerPreference: 'high-performance', preserveDrawingBuffer: true }}

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Comment on lines 27 to +36
const callbacksRef = useRef(callbacks)
callbacksRef.current = callbacks
useEffect(() => {
callbacksRef.current = callbacks
}, [callbacks])

// Refs to avoid tearing down the loop when slider changes
const simStateRef = useRef({ simMode, simSeparation, simRate, simMouseSpeed, simMouseRadius, simClicksOn, simMouseOn, simActive })
simStateRef.current = { simMode, simSeparation, simRate, simMouseSpeed, simMouseRadius, simClicksOn, simMouseOn, simActive }
useEffect(() => {
simStateRef.current = { simMode, simSeparation, simRate, simMouseSpeed, simMouseRadius, simClicksOn, simMouseOn, simActive }
}, [simMode, simSeparation, simRate, simMouseSpeed, simMouseRadius, simClicksOn, simMouseOn, simActive])
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Updating callbacksRef.current and simStateRef.current inside useEffect introduces a window where the simulation loop runs with stale callbacks/state until the effect fires (after paint). This can cause dropped/incorrect sim events right after UI changes. Prefer updating these refs during render (synchronously) or using useLayoutEffect if you need to avoid tearing while still keeping the loop stable.

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Comment thread package.json
"typescript": "~5.9.3",
"typescript-eslint": "^8.56.1",
"vite": "^8.0.0"
"vite": "^8.0.0",
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vitest@3.2.4 (via @vitest/mocker / vite-node) declares a peer dependency on Vite ^5 || ^6 || ^7, but this repo pins vite: ^8.0.0. npm will install, but this peer mismatch can lead to runtime incompatibilities or hard-to-debug failures in npm run test/CI. Consider upgrading Vitest to a version that supports Vite 8, or pinning Vite to a supported major for the test toolchain.

Suggested change
"vite": "^8.0.0",
"vite": "^7.0.0",

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Comment thread wrangler.jsonc
"kv_namespaces": [
{
"binding": "FORGE_LOG",
"id": "cd612b74d74c4e2dbc6ca71d91862629"
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The new KV namespace config lacks a preview_id. Without it, wrangler dev can end up writing to the production KV namespace (or fail depending on setup), which is risky for the new forge token/log data. Consider adding a preview_id for local/dev environments (and/or defining separate envs).

Suggested change
"id": "cd612b74d74c4e2dbc6ca71d91862629"
"id": "cd612b74d74c4e2dbc6ca71d91862629",
// TODO: replace with the actual preview KV namespace ID for development
"preview_id": "00000000000000000000000000000000"

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3 participants