global/youtube-studio
YouTube Studio — composed pipeline for full video publishing prep.
Category: global
Source: workflows/youtube/studio.py
Input Schema
Section titled “Input Schema”| Field | Type | Default | Description |
|---|---|---|---|
media_path | object | — | |
media_url | object | — | |
regenerate | object | — | When set, this run is a regeneration. Workflows may read direction / keep / extra_instructions to modulate prompts; the engine persists parent_run_id and parent_variant_index as run lineage columns. |
url | object | — | |
variants | integer | 1 | Number of independent variant executions (1–10). When > 1, the engine runs the workflow N times with different sampling, producing N outputs. |
video_path | object | — | |
video_url | object | — |
Output Schema
Section titled “Output Schema”No schema defined.
Task Pipeline
Section titled “Task Pipeline”download_media → transcribe_audio → generate_titles → refine_title → generate_thumbnail → merge_titles_thumbnails → generate_description → collect_studio_output| Task | Description |
|---|---|
download_media | Download video/audio from a URL or copy from a local path. |
transcribe_audio | Transcribe media — delegates to SDK stage (Whisper word-level timestamps). |
generate_titles | Generate 10 viral title options using Gemini. |
refine_title | Refine the selected title based on optional user feedback. |
generate_thumbnail | Generate thumbnails — delegates to SDK stage. |
merge_titles_thumbnails | Merge parallel title-generation and thumbnail-generation results. |
generate_description | Generate a YouTube description with chapters, SEO keywords, and CTAs. |
collect_studio_output | Assemble all YouTube Studio outputs. |
Run-spec example
Section titled “Run-spec example”Save the YAML below as my-run.yaml, edit the values, and run with the CLI or POST it to the API. Required fields are uncommented; optional knobs are documented above the input: block — copy any line under input: and uncomment to set.
workflow: global/youtube-studio
# Optional fields — copy any line(s) under `input:` and uncomment to set:# media_path: null## media_url: null## url: null## video_path: null## video_url: null#
input: {}Run it locally:
fab-workflow --from-file my-run.yamlOr submit over the wire — the same file is the request body:
curl -X POST 'https://gofabric.dev/v1/workflows/runs?name=global/youtube-studio' \ -H 'Authorization: Bearer fab_xxx' \ -H 'content-type: application/yaml' \ --data-binary @my-run.yamlEvery workflow also accepts the universal WorkflowInput fields — variants (1–10 fan-out) and regenerate (creative-direction hints with run lineage). See Run-specs (YAML / TOML / JSON) for the full top-level shape (metadata, priority, bundle, parent, etc.).
Warnings
Section titled “Warnings”- Last user task
collect_studio_outputhas no Pydantic return type — workflow output schema is null. Declare a WorkflowOutput subclass and pass it to Flow(output=…) for a strict contract. - Task
generate_thumbnailhas no Pydantic types — contract is opaque to consumers. - Task
merge_titles_thumbnailshas no Pydantic types — contract is opaque to consumers.