The selector path previously hid the custom-workflow feature: video_selector
filtered tools on per-operation readiness (bundled WAN models) and both
selectors only chose ToolStatus.AVAILABLE providers, so comfyui_image/
comfyui_video — DEGRADED when bundled model metadata is missing — were
dropped even when the ComfyUI server was up and the caller supplied a full
workflow_json/workflow_path plus output_node.
- Add a custom-workflow readiness path to both selectors: when a custom
workflow is supplied, eligibility is based on server availability (status
!= UNAVAILABLE) for any provider advertising supports.custom_workflow,
not on bundled-model readiness. A custom workflow also restricts routing
to custom-workflow-capable providers, since the graph JSON is ComfyUI
specific.
- Expose workflow_json, workflow_path, output_node, workflow_name,
workflow_model, and workflow_model_stack in both selector schemas so
agents can discover the feature without bypassing the selectors.
- image_selector only forwards the workflow inputs to providers that
declare them.
- Add contract tests for the new eligibility path and schema exposure.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Removed comfyui_music and its workflow. The ACE-Step model runs in
ComfyUI but the node class names differ across custom node packs
(AceStepModelLoader vs native TextEncodeAceStepAudio, etc.), so a
bundled workflow would break for most users.
Documented the reasoning in the plan doc and listed it as an open
question for future work. Users with ACE-Step working can still use
the workflow_json override on any tool.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Client queries ComfyUI /object_info to discover installed models
(checkpoints, diffusion models, VAE, CLIP, LoRAs)
- Each tool declares its required models and checks them on execute()
- get_status() returns DEGRADED when server is up but models are missing
- Clear error messages tell the user exactly which models to download
- When COMFYUI_SERVER_URL is not set, error message tells the user to
configure it in .env instead of silently failing on localhost:8188
- 8 new tests covering URL config, error messages, and model requirements
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Adds three new BaseTool providers that delegate GPU work to a running
ComfyUI server via its REST API. This avoids the need to install
PyTorch/diffusers directly, which is critical on hardware where the
ecosystem hasn't caught up (e.g. NVIDIA Blackwell / DGX Spark, aarch64
+ CUDA 13.0).
New files:
- tools/_comfyui/client.py — shared REST client (submit/poll/download)
- tools/_comfyui/workflows/ — 4 bundled workflow templates
- tools/graphics/comfyui_image.py — FLUX 2 Dev NVFP4 text-to-image
- tools/video/comfyui_video.py — WAN 2.2 14B t2v + i2v (4-step LightX2V)
- tools/audio/comfyui_music.py — ACE-Step 3.5B music generation
- tests/contracts/test_comfyui_tools.py — 41 contract tests
- docs/comfyui-adapter-plan.md — design document
Zero changes to existing tools, selectors, registry, or pipelines.
Tools are auto-discovered and selectors pick them up via capability match.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
runway (estimate_cost/estimate_runtime/execute) defaulted to gen4_turbo and
higgsfield (execute) defaulted to kling_3.0, while both schemas advertise
seedance_2.0 as model.default. Omitting model under-quoted cost (runway 6x:
$0.25 vs $1.50) and silently generated a different model than advertised,
violating the Decision-Communication / cost-accuracy contract.
Root cause was a default duplicated across schema + 3 methods that drifted.
Collapse it to a single _DEFAULT_MODEL constant referenced everywhere.
Add tests/tools/test_provider_model_defaults.py to lock each tool's
estimate default to its schema default and guard the execute path.
tests/qa/test_08_end_to_end.py runs at module import, so pytest fails
collection with CheckpointValidationError: the Stage 5 edit_decisions
fixture omits render_runtime, which edit_decisions.schema.json lists as
required. Per AGENT_GUIDE the runtime is locked at proposal and carried
through edit unchanged, so the fixture now sources it from the same
proposal_packet["production_plan"]["render_runtime"] ("remotion")
instead of hardcoding an unrelated value, keeping the fixture internally
consistent with the proposal it builds on.
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.
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.
test_01_tts.py (ElevenLabs), test_02_image_gen.py (DALL-E + FLUX),
and test_03_music.py (ElevenLabs Music) were burning ~$0.44 per run
against live API keys. These were run repeatedly and exhausted the
ElevenLabs starter plan quota (30K characters).
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)
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>
Alastair Beal