Lines 219 and 227 imported upload_image_fal from _shared but called
the non-existent upload_image_to_fal, raising a NameError whenever
image_to_video or reference_to_video used local image paths.
Adds a transcript_comparison check to VideoCompose._run_final_review
that word-diffs the whisper/whisperx transcript against script.txt and
fails loudly when the TTS engine literally voiced punctuation tokens
(dot, dots, ellipsis, comma, dash, hyphen, period). Chirp3-HD did this
to ellipses in a production run and it slipped past review; now it
cannot.
Also corrects the "tiny background video" gotcha in
skills/core/hyperframes.md. After six renders of blaming HyperFrames
CSS, the real root cause was 640x360 Pexels sources combined with a
fit-and-pad pre-transform — HyperFrames was rendering the letterboxed
input faithfully. Gotcha now walks through the ffprobe diagnostic and
the scale-to-cover fix, and keeps the wrapper-div pattern for the
right reasons (aspect mismatch handling, not framework bug workaround).
Four regression tests cover the new check: punctuation-leak detection,
clean-audio false-positive guard, graceful skip when inputs missing,
and always-present transcript_comparison section.
Separates creative grammar (renderer_family) from technical engine
(render_runtime) so HyperFrames can stand alongside Remotion as a
first-class runtime instead of masquerading as a Remotion sub-case.
Locks runtime choice at proposal stage and enforces it end-to-end: the
schemas require it, video_compose routes by it, the reviewer fails
closed on silent swaps, and a parametrized contract test walks every
pipeline manifest to ensure each planning-stage skill explains the
conversation to the user. Adds hyperframes_compose (scaffold/lint/
validate/render/doctor/add_block), a playbook -> CSS style bridge, and
vendored HyperFrames Layer 3 skills from commit d291358, pinned via
PROVENANCE.md for future re-sync. Final_review now records
render_runtime_used and runtime_swap_detected so compose lies are
catchable after the fact.
Expands the Seedance 2.0 surface from fal.ai-only to every gateway the
OpenMontage toolset can reach, so users on Replicate / Runway /
Higgsfield automatically route cinematic briefs through Seedance 2.0
instead of the gateway's prior default.
- tools/video/seedance_replicate (new): REPLICATE_API_TOKEN adapter for
bytedance/seedance-2.0 and bytedance/seedance-2.0-fast. Same provider
family ("seedance"), quality_score=0.95, premium capability flags.
- tools/video/runway_video: add seedance_2.0 / seedance_2.0_fast to the
model enum as the new default, flag native_audio + multi_shot +
camera_direction + lip_sync in supports, point agent_skills at
seedance-2-0 Layer 3 skill. Note Runway Unlimited/Enterprise + non-US
gating in the model description.
- tools/video/higgsfield_video: same pattern. seedance_2.0 is now the
default model. Cost estimates calibrated to Higgsfield credit pricing
(~$0.50-$1.20 per 5s).
- tools/video/_shared: annotate HEYGEN_PROVIDERS seedance_pro/lite as
Seedance 1.x (2.0 on HeyGen flows through Video Agent / Avatar Shots
which need a separate wrapper — tracked as follow-up).
- .agents/skills/seedance-2-0: update provider matrix to show which
gateways are wrapped (fal.ai, Replicate, Runway, Higgsfield) vs. which
are still roadmap (HeyGen Video Agent, BytePlus, Freepik, aggregators).
The scoring engine already deduplicates by provider="seedance" so
whichever gateway the user has configured wins automatically. Agents
passing preferred_provider="seedance" to video_selector route to the
best available Seedance 2.0 path without naming a specific gateway.
Seedance 2.0 is now routed as the top-ranked video generator whenever a
premium gateway is available. Touches the tool layer, scoring engine,
cinematic pipeline, and both skill layers so discovery works from every
entry point.
- tools/video/seedance_video: BETA stability, quality_score=0.95, add
reference_to_video operation plus 9 img + 3 vid + 3 audio ceilings,
fix pre-existing upload_image_fal import
- tools/base_tool: surface optional quality_score / success_rate /
latency fields in get_info so the scorer can read them
- lib/scoring: fix reliability enum-vs-string bug that was pinning every
available tool to 0.0, switch to overlap coefficient so rich best_for
descriptions aren't penalized, add premium-cinematic feature bonus
- pipeline_defs/cinematic + cinematic asset-director: add pixabay_music
and freesound_music, restore pixabay-first music default
- cinematic compose-director: mandatory Remotion preflight at stage entry
- New Layer 3 .agents/skills/seedance-2-0/SKILL.md (8-part prompt
structure, multi-shot, lip-sync, reference-to-video, provider landscape)
- New Layer 2 skills/creative/prompting/seedance-prompting.md
- Update ai-video-gen, video-gen-prompting, AGENT_GUIDE, INDEX to flag
Seedance 2.0 as the preferred premium default and make the skill
discoverable from every routing path
6 API-based adapters: Pixabay Video, Coverr, NARA (U.S. National Archives),
Library of Congress, Pond5 Public Domain, Videvo. 5 scraper-based adapters
for sites without APIs: ESA, NOAA, Mixkit, Dareful, JAXA. All follow the
StockSource protocol and are auto-discovered — no tool code changes needed.
Updated scene-director, asset-director, and idea-director skills with
source routing guidance so agents know which provider to use for which
content type (e.g. nara for historical, noaa for ocean, esa for space).
Also includes: grok_video capability updates (native audio, 1-15s duration,
new aspect ratios), seedance_video tool (Seedance 2.0 via fal.ai),
ProductReveal Remotion composition registration.
Adds a lightweight alternative to the corpus_builder + clip_search pipeline
that skips CLIP embeddings, motion scores, and index files. Uses the same
StockSource adapter protocol so it works with all providers (Pexels,
Archive.org, NASA, Wikimedia, Unsplash). Asset-director skill now documents
both fast path (direct search) and standard path (corpus + CLIP retrieval).
Pipeline manifest updated to make corpus tools optional.
All of these changes came out of running the P1 and P2 documentary-montage
audits end-to-end and watching specific things break. Grouping them into
one commit because they share a theme: making the corpus builder and its
stock source adapters robust enough that a real brief can produce a
real corpus without special-casing.
corpus_builder.py + new clip_cache.py + test_clip_cache.py
Phase 1 of the shared-corpus architecture. Adds
~/.openmontage/clips_cache/ — a process-safe, LRU-evicted cache of
downloaded clip files keyed by clip_id. Before each candidate download,
corpus_builder asks the cache whether the bytes already exist on disk
from a previous run; on a hit it hard-links (or copies on cross-drive)
the blob into the caller's corpus dir and skips the network fetch. On
a miss it downloads as usual and ingests the fresh file. Motivation:
re-running the P1 audit after every tool fix was re-downloading gigs
of archive.org footage that had already been fetched in the prior run.
Cache faults never block the pipeline — they degrade gracefully to
normal downloads. The cache bubbles counters into the corpus_builder
return payload so the production report can show hit/miss/bytes-saved.
Default 20 GB cap, overridable via OPENMONTAGE_CACHE_MAX_GB.
Full test coverage: try_link, ingest, stats, LRU eviction, manifest
persistence, lock behavior. 23 tests, tmp_path-scoped.
stock_sources/archive_org.py
1. Three-strategy query cascade (phrase_prox_10 → distinctive_and →
distinctive_or). Motivation: natural-language documentary queries
against archive.org Solr were zeroing out — "1950s family watching
television" returned 0 hits because Solr's default multi-term AND
over-intersects. Walks strict to loose and returns the first
non-empty strategy. Stop words, source hints ("prelinger",
"archive", "footage"), and year tokens ("1950s") are excluded from
the distinctive-token picks since they don't correlate with
Prelinger title tokens.
2. 150 MB per-rendition size cap. archive.org routinely hosts
multi-hundred-megabyte h.264 masters and one 2 GB Prelinger item
poisons corpus build wall-time and disk. Within a format bucket
we now pick the largest rendition under the cap; if nothing fits
we fall through to the next format rather than dropping the item.
3. 180 s default max-duration ceiling when the caller hasn't set one
— archive.org is the only source that routinely hosts feature-
length material and a naive fan-out pulls them into corpora that
only ever want a few seconds per clip.
stock_sources/wikimedia.py
Parallel 3-strategy cascade (full → top2_or → single_best). Motivation:
Commons CirrusSearch also defaults to AND across multi-word queries;
our first P2 diagnostic pass returned 0 video results for 10/10
queries. Same stop-word / source-hint / year-token stripping as
archive_org so the two adapters stay symmetric.
test_stock_source_adapters.py
Rewrote the wikimedia query-builder tests against the new cascade
API. Added coverage for multi-word fallback + source-hint/year
stripping.
video_compose.py
Two small fixes for the Remotion renderer on Windows:
1. Resolve output_path to absolute before invoking the CLI so the
binary can write wherever the caller asked regardless of cwd.
2. Pass cwd=composer_dir to run_command so npx can find the local
Remotion binary under node_modules/.bin. Without this, Windows
npx returns "could not determine executable to run" because it
resolves .bin relative to the process cwd rather than the
script's parent.
New end-to-end pipeline for building thematic documentary montages from
a locally-indexed corpus of free stock footage (Pexels, Archive.org,
NASA). The agent builds a project-local corpus, CLIP-ranks candidates
per scene slot, edits with motion-aware arc logic, and composes via
ffmpeg. No paid APIs required for the full path.
Pipeline definition and director skills:
- pipeline_defs/documentary-montage.yaml: 5-stage manifest
(idea -> scene_plan -> assets -> edit -> compose)
- skills/pipelines/documentary-montage/: 6 director skills
(executive-producer + idea/scene/asset/edit/compose directors)
Corpus and retrieval infrastructure:
- tools/video/corpus_builder.py: multi-source stock fan-out with
resumable append-only corpus index
- tools/video/clip_search.py: CLIP ViT-B/32 retrieval —
rank_for_slot, find_similar_set, diversify, stats
- tools/video/stock_sources/: base + pexels + archive_org + nasa
adapters with a pluggable BaseStockSource contract
- lib/clip_embedder.py: CLIP wrapper
- lib/corpus.py: corpus schema, jsonl append/read, motion-score
caching
video_compose fix rolled in because any concat-based pipeline depends
on it:
- Replace ambiguous -to with -t duration (was double-trimming cuts)
- Force re-encode + normalize to 1920x1080 @ 30fps (was keyframe-
snapping with -c copy and breaking concat on mixed-source corpora)
- Add silent-audio anullsrc fallback for clips without an audio
stream
README: add Documentary Montage row to the pipeline table and bump
the pipeline count from 11 to 12.
- New: Higgsfield video provider with multi-model routing (Kling 3.0, Veo 3.1, Sora 2, WAN 2.5, Soul Cinema) and Soul ID character consistency
- Updated: Runway provider with gen4_aleph and gen3a_turbo models, proper pixel-ratio mapping, probe_output, watermark param, RUNWAYML_API_SECRET env var support
- Docs: Updated provider counts (12→13), tool counts (51→52), added Higgsfield setup/pricing sections across README, AGENT_GUIDE, ARCHITECTURE, and PROVIDERS
Remotion is now the default composition engine for ALL final renders
when available — video clips, images, mixed content. FFmpeg is only
used as fallback when Remotion is not installed or for standalone
operations (trim, transcode). Also fixes three FFmpeg fallback bugs:
profile + copy codec conflict, stream order mapping, and segment
seeking for audio-first containers.
Four gaps found during user acceptance testing of the reference-video
production workflow:
- video_selector: expose aspect_ratio, duration, reference_image_path,
reference_image_url, and image_url in schema so agents can discover
these critical params. Auto-upload local images when the selected
provider requires a URL.
- _shared.py: add upload_image_fal() for local→URL image bridging via
fal.ai storage. Fix upload_image_heygen() to try v2 presigned upload
before falling back to fal.ai (old /v1/asset endpoint returns 404).
- kling_video: call probe_output() so response includes output_path,
duration_seconds, file_size_mb, video dimensions, and codec info.
Implements the 2026-04-02 transformation spec (Phases 1-8) and fixes all
critical bugs found during 5-pipeline E2E testing.
Governance & Decision Intelligence:
- Pipeline-specific stage order in checkpoint (replaces global STAGES list)
- Provider scoring engine (lib/scoring.py) with 7-dimension weighted ranking
- Decision log artifact enforced at proposal/idea stage across all 10 pipelines
- Delivery promise classifier prevents silent motion-to-still downgrades
- Structured shot language in scene_plan schema (camera, lens, lighting, DOF)
- Variation checker and slideshow risk scorer block samey output before render
- Creative intake, capability extension, and creative-intake meta skills
- Final self-review artifact with 5 mandatory checks before presenting output
- Source media review contract for user-supplied footage
Render & Theme System:
- Remotion AnimatedBackground now derives colors from playbook (no more hardcoded
dark blue fintech gradient on every video)
- video_compose builds custom ThemeConfig from playbook YAML colors/fonts —
custom playbooks flow through to Remotion automatically
- Explainer component wires theme to all child components (charts, cards, etc.)
- resolveAsset() handles absolute paths on Windows/Unix via file:// URIs
- RENDERER_FAMILY_MAP synced with actual Remotion compositions
Critical Bug Fixes:
- Windows npx subprocess: run_command() resolves .cmd wrappers via shutil.which()
- Silent renderer downgrade: Remotion failure now returns explicit error with
options instead of silently falling back to FFmpeg
- .env inline comment parsing strips trailing # comments from API keys
- concat_path UnboundLocalError in video_compose finally block
- audio_mixer and showcase_card capture=True kwarg bug
- Selector estimate_cost() calls fixed (_select_tool -> _select_best_tool)
- asset_manifest schema expanded with provider, license, subtype fields
- screen-demo subtitle_gen moved from required to optional tools
- Duration drift detection in post-render final review (>25% warns)
Add green_screen_processor (auto-detect + rembg fallback) and
green_screen_composite (4 layout presets with alpha compositing) tools
to automate the full keying-to-composite pipeline.
Remotion: add AnimatedBackground with gradient mesh and floating orbs
to Explainer, fix caption burn tool (remove entry point arg, auto-detect
dimensions, extend TalkingHead duration to 300s).
Update scene-director, compose-director, and asset-director skill docs
with green screen workflow steps and component constraints.
Scene-director rewrite: agent now watches footage, understands content, and proposes
creative overlays (charts, stats, key terms, comparisons) before building anything.
Presents enhancement plan to user for approval before proceeding.
Compose-director fixes from Round 1 verification:
- eye_enhance: now explicitly required, not silently skippable
- Caption positioning: explicit MarginV=160 for 9:16, never center
- Final encode: mandatory with target file size table
- ASR corrections: new Step 2b to scan transcript and build corrections dict
- Overlay compositing: new Step 3b for burning approved graphics onto footage
Asset-director rewrite: generates Remotion overlay assets (callouts, stat cards,
charts, comparisons) from scene plan. Includes overlay type → Remotion cut mapping
table and dark theme requirements.
Bug fixes found during subagent verification:
- remotion_caption_burn.py: fix run_command API, add npx.cmd for Windows
- visual_qa.py: fix run_command API (3 places), Windows /dev/null → NUL
New tools: face_tracker, visual_qa, eye_enhance, auto_reframe, remotion_caption_burn, showcase_card, silence_cutter. Updated audio_mixer with segmented_music operation and subtitle_gen with ASR corrections. Registered TalkingHead composition in Root.tsx. Rewrote compose/edit/scene director skills for full enhancement chain, Remotion captions, multi-clip assembly, and visual QA. Gitignore cleanup: exclude test demo-props, downloaded music, and generated images.
- Fix Kling URL format: text_to_video → text-to-video (hyphens)
- Fix Kling, MiniMax, Veo: switch from sync fal.run to queue API with polling
- Add Rule Zero to AGENT_GUIDE: all production must go through pipelines
- Make Layer 3 skill reading mandatory before calling generation tools
- Add explicit do-nots: no ad-hoc scripts, no skipping director skills
