Files
hao-ai-lab-FastVideo/v2/serving
SolitaryThinker 58223c0c41 [feat] Register cross-model workflows as first-class named servables
Answers "what's the right way to name/register custom pipelines like T2I→I2V":
treat a Workflow like a card — a stable namespaced id in the same servable
namespace, declared dependencies, and a two-level registry. No new concepts;
mirrors how cards are registered (and vllm-omni's pipeline_registry).

- program/workflow.py: Workflow gains `requires` (the cards it composes, derived
  from stages) and `validate(engine)` (fail-fast if a required card is absent,
  P7). New WorkflowRegistry: declarative workflow_id -> builder catalog for
  out-of-tree/ad hoc use.
- runtime/engine.py: `_workflows` registry + register_workflow (validates deps,
  rejects id collision with a model_id) + serves(); engine.run routes a request
  whose model_id is a workflow to workflow.run — addressable exactly like a model.
  Single-model hot path untouched.
- runtime/async_engine.py + serving/server.py: serves() and /models include
  workflows (discoverable as servables).
- models/__init__.py: declarative `_WORKFLOWS` catalog (the cross-model analog of
  _BUILDERS) + register_workflows() helper; build_image_video_engine now registers
  the workflow too. Adding a custom pipeline = one catalog line.
- Naming convention: dotted/namespaced workflow_id (`image_video.t2i_i2v`),
  distinct from kebab model ids, collision-checked. Renamed from `t2i_then_i2v`.
- tests (+5, 12 total in the file): addressable by id, requires/validate, id
  collision, registry catalog, register_workflows helper. Full suite 114 passed.
- designv4 §9.6: the naming & registration convention documented.
2026-07-04 17:15:34 +00:00
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