Files
hao-ai-lab-FastVideo/docs
SolitaryThinker f5ce12f17a [docs] activation trace mode + Extensions 1-3 design + magi-human Wave 9 entry
Add docs/contributing/activation_trace.md: a 210-line contributor guide
covering the env-gated activation trace infrastructure (Extension 0),
its five configuration env vars, the trace_step() context manager, and
the JSONL output format.

The doc also sketches Extensions 1-3 (FX graph capture, AST-level
instrumentation, dispatch-table interception) as future work, giving
contributors a clear design ladder to climb without requiring them to
implement everything at once.

Update tests/local_tests/magi-human.md with the Wave 9 investigation
entry: records the E2E smoke result (28,864 JSONL records, 451 hooked
modules), the zero-overhead-when-off confirmation, and the new
fastvideo/tests/hooks/test_activation_trace.py test row in the Phase 11
status table. Last-verified date bumped to 2026-05-01 (Wave 9).
2026-05-05 10:55:49 -07:00
..
2026-02-23 15:14:42 -08:00
2026-02-19 14:23:32 -08:00
2026-03-09 18:58:56 -07:00
2026-02-23 15:14:42 -08:00
2026-02-23 15:14:42 -08:00

FastVideo Documentation

This directory contains the FastVideo documentation built with MkDocs.

Build the docs locally

# Install dependencies
uv pip install -r requirements-mkdocs.txt

# Serve docs with live reload (recommended for development)
mkdocs serve

# Or build static site
mkdocs build

View the docs

Development server (with live reload)

mkdocs serve

Then open your browser to: http://127.0.0.1:8000

Static build

mkdocs build
python -m http.server -d site/

Then open your browser to: http://localhost:8000

Automatic Deployment

Documentation is automatically built and deployed to GitHub Pages when changes are pushed to the main branch via the .github/workflows/infra-docs.yml workflow.