skills/creative/music-gen-usage.md mandates 'Always set
force_instrumental=true for video background', but music_gen.py never
sent the kwarg, so ElevenLabs could return vocal tracks that collide
with narration/dialogue.
- Add force_instrumental to input_schema (default True) so the mandate
holds by default; callers may opt out only with an explicit False.
- Include force_instrumental in the /v1/music payload.
- Add tests pinning: kwarg sent True by default, explicit opt-out
honored, and the schema default.
Refs: docs/REVIEW-image-to-video-voice.md §8 #8
Co-Authored-By: Claude <noreply@anthropic.com>
audio_mixer hard-coded loudnorm I=-16 (Apple Podcasts) in both _mix
and _full_mix. sound-design.md targets -14 for YouTube/TikTok/IG, and
edit_decisions.metadata.loudnorm_target is the declarative form — but
the mixer never read it, so the executed loudness silently defaulted
to podcast levels regardless of the target platform.
- Add loudnorm_target to input_schema (default -16, clamped to [-40, 0]).
- Extract _loudnorm_filter() helper and use it in _mix and _full_mix so
a director can forward edit_decisions.metadata.loudnorm_target (or a
caller can pass it directly) to hit the right platform target.
- Add tests pinning: default -16, -14 honored, out-of-range clamped,
non-numeric fallback, and the schema default.
Refs: docs/REVIEW-image-to-video-voice.md §8 #1
Co-Authored-By: Claude <noreply@anthropic.com>
`_segmented_music` mixed the video's audio with the shaped music via
`amix=inputs=2`, whose default `normalize=1` scales every input by 1/inputs
(x0.5, -6 dB). Unlike `_mix` and `_full_mix`, this path has no `loudnorm` stage
afterward to re-normalize, so the narration was permanently attenuated across
the entire timeline — including the stretches where the music volume expression
evaluates to 0. A one-second music segment quietly dropped the narration by
~6 dB for the whole video.
Add `normalize=0` to the amix: the music is already scaled to `music_volume`
by the `volume` expression, so speech passes at unity. Verified with ffmpeg —
narration in a no-music region tracks the stereo/aac conversion baseline
instead of sitting 6 dB below it.
The prior fix removed the dangling pad but still reused the speech filter
output for two consumers (sidechain key + final mix). FFmpeg auto-splits a
reused *input* label on some builds (macOS) but the Linux ffmpeg on CI rejects
it, so both full_mix ducking tests failed there.
Build a single [speech_all] stream and asplit it into [speech_key] (sidechain
key) and [speech_out] (final mix) so every filter label is produced once and
consumed once. Verified the generated graph for the single- and multi-narration
cases: no label is consumed more than once.
Refs #265
full_mix with ducking enabled (the default) failed for a single narration
track + one music bed — the most common shape — because the ducking branch
appended an acopy[speech_dup] filter whose output pad was never consumed,
leaving the filtergraph with a dangling output that ffmpeg rejects.
For a single speech track speech_out is '[a0]' (starts with '[a'), so the
guarded append fired; the compensating pop() only removes the empty-string
case from the multi-speech branch, so the dead pad survived exactly in the
single-narration case. The speech stream is already re-derived for the final
mix via [speech_out], and ffmpeg auto-splits the reused input label, so the
duplicate is unnecessary. Multi-speech and SFX paths are unaffected.
Adds regression tests for single- and multi-narration full_mix with ducking.
Closes#265
Address PR #240 review feedback from @calesthio:
1. dashscope_image: save EVERY returned image URL, not just the first.
The tool advertised multiple_outputs and accepted n>1 but only read
content[0], silently dropping paid outputs. Now collects all image
URLs across choices/content and downloads each to a distinct indexed
path (foo.png -> foo_1.png, foo_2.png, ...). images_generated now
reflects the actual count downloaded.
Per Qwen Cloud docs, a multi-output task is SUCCEEDED if at least one
image is generated; choices with finish_reason != "stop" are skipped
to avoid downloading partial/failed results.
2. Complete idempotency_key_fields so different requests no longer
collide and reuse stale artifacts:
- image: + negative_prompt, seed, prompt_extend, watermark
- tts: + instructions
- asr: + enable_words, language_hints
Adds 19 regression tests (114 total, all pass, no API keys needed):
- TestDashscopeImageMultiOutput: URL extraction across choices / within
one choice / failed-choice skipping, path resolution for
single/multi/no-extension, end-to-end multi-image download with a
mocked 3-URL DashScope response verifying all 3 files land on disk,
single-image legacy path behavior
- TestDashscopeIdempotencyKeys: field presence + key-differs-on-value
for every newly added field across all three tools
AGENT_GUIDE.md requires the music decision to be made at the proposal stage,
but the only check for the user's music_library/ folder lived in the
asset-director skills, which run later. A user could approve a creative
direction without ever being told a free, intentional music option was sitting
on disk (issue #168).
music_library/ was already referenced as a source_tool in asset artifacts but
had no backing tool. Add a small read-only tool that scans the library folder
(default <project root>/music_library, override via MUSIC_LIBRARY_DIR or a
library_dir input) and lists the audio tracks it finds, with best-effort
durations via ffprobe when present.
Because it inherits BaseTool, the registry auto-discovers it and it appears in
the preflight provider menu alongside music_gen and the stock music sources:
- AVAILABLE when the folder holds at least one audio track
- UNAVAILABLE otherwise, with install_instructions telling the user how to add
tracks
So the user sees their music options before approving creative direction, with
no orchestration code changes. Read-only: no side effects, no cost.
Closes#168
Google's TTS and Imagen tools advertised service-account auth
(GOOGLE_APPLICATION_CREDENTIALS) but only ever authenticated with an API
key string, so users with a service-account JSON could not use either tool.
google_tts.get_status() also over-reported availability when the JSON was
set, then failed at execute() — a silent-availability bug.
Separately, both hand-rolled _load_dotenv parsers kept inline comments as
values, so after `cp .env.example .env` every keyed tool falsely reported
"available" with no real credentials.
Changes:
- Add tools/google_credentials.py: lazy google-auth Bearer-token helper.
- google_tts: authenticate via Cloud TTS Bearer token when only a service
account is configured; make get_status() honest.
- google_imagen: route service-account auth to Vertex AI
({location}-aiplatform.googleapis.com) with project/location resolution,
alongside the existing AI Studio API-key path.
- Fix both _load_dotenv parsers to strip inline comments (quote-aware).
- Add google-auth to requirements; document the new env vars in .env.example.
- .gitignore: never commit GCP service-account key files.
Verified locally with a real service account: TTS produced a valid MP3 and
Imagen produced a valid 1408x768 PNG via Vertex AI. Existing test suite
passes (2 unrelated pre-existing failures only).
Closes#131
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
End-tag now composited over final body footage (ProRes 4444 with alpha)
instead of concatenated as a black card. Updated idea-director,
edit-director, compose-director, and pipeline manifest with overlay-first
instructions. Default Google TTS voice changed from Neural2-D to
Chirp3-HD-Orus across tool code and docs.
Route Chirp and Journey voice families to the v1beta1 API endpoint
automatically. Adds beta voice detection, dynamic API version
selection, and Chirp3-HD cost estimation ($30/1M chars).
The instructions parameter was passed as None when not provided,
causing a 400 error. Now only included when explicitly set. Also
adds speed passthrough support.
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)
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.
Prove that adding one API key (OPENAI_API_KEY) to the zero-key foundation
produces dramatically better videos for ~$0.69 each. Two compositions built:
The Abyss (deep ocean visual essay) and VOID (neural interface product ad).
New tools:
- audio_probe: ffprobe wrapper with probe_duration() helper
- composition_validator: pre-render checks (asset existence, audio-video sync)
- pixabay_music: royalty-free music scraper (no API key needed)
- freesound_music: Freesound API search + download
Remotion upgrades:
- BackgroundImageLayer: AI images behind data scenes with ken-burns + dark overlay
- Gradient support: all 9 components changed from backgroundColor to background CSS
- CaptionOverlay: word spacing fix, WhisperX word-level subtitles
- HeroTitle: reduced overlay opacity so background images show through
Process codified in agent skills:
- compose-director: audio acquisition flow (present user with voice/music/subtitle
options), mandatory pre-render validation, post-render self-review (extract
frames + transcribe + inspect + present findings to user)
- scene-director: narration duration budgeting (word budget from video duration)
- remotion skill: pre-render validation section
- TTS tool: now returns audio_duration_seconds in result
README updated with VOID product ad video embed.
Two new provider tools following the BaseTool pattern with auto-discovery:
- google_imagen: Imagen 4 image generation via Generative Language REST API
- google_tts: Google Cloud TTS with 700+ voices across 50+ languages
Both share GOOGLE_API_KEY env var. Selectors auto-discover them — no
selector code changes needed. Docs and contract tests updated.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
