Miguel Ángel 6f04983e20 fix(engine): retry beginFrame on parallel render contention (#230)
## Summary
- When 2-3 renders run in parallel on Linux (beginFrame mode), Chrome's `HeadlessExperimental.beginFrame` fails with "Another frame is pending" due to CPU contention
- Extracts `sendBeginFrame` helper with exponential backoff retry (50ms–800ms, 5 attempts) — used by both the main capture path and the hasDamage=false fallback
- After retries exhaust, throws an actionable error instead of a raw protocol error

## Testing

### Environment
- Linux (Ubuntu 20.04), 8 cores
- `chrome-headless-shell` 146.0.7680.153 (beginFrame mode active)
- Test composition: 1920×1080, 5s duration, 30fps, 150 frames, 3 GSAP-animated elements

### Before fix (main)
Ran 3 parallel renders of the same composition simultaneously:

| Render | Result | Details |
|--------|--------|---------|
| R1 | Completed | 304 KB, 6.6s |
| R2 | **FAILED** | `Protocol error (HeadlessExperimental.beginFrame): Another frame is pending` at frame 120/150 |
| R3 | Completed | 304 KB, 6.7s |

The error is non-deterministic — it hits whichever worker loses the CDP frame contention race under CPU pressure.

### After fix (this branch)
Same 3 parallel renders:

| Render | Result | Details |
|--------|--------|---------|
| R1 | Completed | 304 KB, 7.3s |
| R2 | Completed | 304 KB, 7.3s |
| R3 | Completed | 304 KB, 7.3s |

All 3 succeeded. The slight increase in wall time (6.6s → 7.3s) is consistent with occasional retries absorbing transient contention without failing.

### Code review
- Both `beginFrame` call sites in `beginFrameCapture` (main capture path + hasDamage=false fallback) use the shared `sendBeginFrame` helper
- Backoff ceiling is 1.55s per frame (50+100+200+400+800ms), acceptable for transient contention
- beginFrame mode is Linux-only (`chrome-headless-shell` + `--enable-begin-frame-control`); macOS uses screenshot mode so the retry code path isn't exercised there
2026-04-09 19:46:39 +02:00
2026-03-21 22:43:56 -07:00
2026-03-21 22:43:56 -07:00

Hyperframes

npm version License Node.js

Write HTML. Render video. Built for agents.

Hyperframes is an open-source video rendering framework that lets you create, preview, and render HTML-based video compositions — with first-class support for AI agents via MCP.

Why Hyperframes?

  • HTML-native — AI agents already speak HTML. No React required.
  • Frame Adapter pattern — bring your own animation runtime (GSAP, Lottie, CSS, Three.js).
  • Deterministic rendering — same input = identical output. Built for automated pipelines.
  • AI-first design — not a bolted-on afterthought.

Quick Start

npx hyperframes init my-video
cd my-video

Then open the project with your AI coding agent (Claude Code, Cursor, etc.) — it has HyperFrames skills installed and knows how to create and edit compositions.

npx hyperframes preview      # preview in browser (live reload)
npx hyperframes render   # render to MP4

Requirements: Node.js >= 22, FFmpeg

Documentation

Full documentation at hyperframes.heygen.com — start with the Quickstart, then explore guides, concepts, API reference, and package docs.

How It Works

Define your video as HTML with data attributes:

<div id="stage" data-composition-id="my-video" data-start="0" data-width="1920" data-height="1080">
  <video
    id="clip-1"
    data-start="0"
    data-duration="5"
    data-track="0"
    src="intro.mp4"
    muted
    playsinline
  ></video>
  <img id="overlay" data-start="2" data-duration="3" data-track="1" src="logo.png" />
  <audio
    id="bg-music"
    data-start="0"
    data-duration="9"
    data-track="2"
    data-volume="0.5"
    src="music.wav"
  ></audio>
</div>

Preview instantly in the browser. Render to MP4 locally. Let AI agents compose videos using tools they already understand.

Packages

Package Description
hyperframes CLI — create, preview, lint, and render compositions
@hyperframes/core Types, parsers, generators, linter, runtime, frame adapters
@hyperframes/engine Seekable page-to-video capture engine (Puppeteer + FFmpeg)
@hyperframes/producer Full rendering pipeline (capture + encode + audio mix)
@hyperframes/studio Browser-based composition editor UI

AI Agent Skills

HyperFrames ships skills that teach AI coding agents (Claude Code, Gemini CLI, Codex, Cursor) how to write correct compositions and GSAP animations. Use these instead of writing from scratch — they encode framework-specific patterns that generic docs don't cover.

# Install all skills (HyperFrames + GSAP) — runs automatically during `hyperframes init`
npx hyperframes skills

# Or install to a specific agent
npx hyperframes skills --claude
npx hyperframes skills --cursor

Or via npx skills add

# HyperFrames skills (hyperframes-compose, hyperframes-captions)
npx skills add heygen-com/hyperframes

# GSAP skills (gsap-core, gsap-timeline, gsap-scrolltrigger, gsap-plugins, gsap-performance, gsap-utils, gsap-react, gsap-frameworks)
npx skills add greensock/gsap-skills

Installed Skills

Source Skills What they teach
HyperFrames hyperframes-compose, hyperframes-captions HTML composition structure, class="clip" rules, data-* attributes, timeline registration, rendering constraints
GSAP gsap-core, gsap-timeline, gsap-performance, gsap-plugins, gsap-scrolltrigger, gsap-utils, gsap-react, gsap-frameworks Core API, timeline sequencing, ScrollTrigger, plugin usage, performance best practices

In Claude Code, invoke with /hyperframes-compose, /hyperframes-captions, /gsap-core, etc.

Contributing

See CONTRIBUTING.md for guidelines on how to contribute.

License

See LICENSE for details.

S
Description
Write HTML. Render video. Built for agents.
Readme
580 MiB
Languages
TypeScript 86%
JavaScript 9.3%
CSS 4.1%
Shell 0.3%
Python 0.2%