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youtube/titles

AI Title Generation — generate 10 viral title options with refinement.

Category: youtube
Source: workflows/youtube/titles.py

FieldTypeDefaultDescription
content_typestring"YouTube video"
full_textstring""
nichestring"general"
regenerateobjectWhen 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.
topicstring""
variantsinteger1Number of independent variant executions (1–10). When > 1, the engine runs the workflow N times with different sampling, producing N outputs.

No schema defined.

generate_titles → refine_title
TaskDescription
generate_titlesGenerate 10 viral title options using Gemini.
refine_titleRefine the selected title based on optional user feedback.

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: youtube/titles
# Optional fields — copy any line(s) under `input:` and uncomment to set:
# content_type: YouTube video
#
# full_text: ""
#
# niche: general
#
# topic: ""
#
input: {}

Run it locally:

Terminal window
fab-workflow --from-file my-run.yaml

Or submit over the wire — the same file is the request body:

Terminal window
curl -X POST 'https://gofabric.dev/v1/workflows/runs?name=youtube/titles' \
-H 'Authorization: Bearer fab_xxx' \
-H 'content-type: application/yaml' \
--data-binary @my-run.yaml

Every 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.).

  • Last user task refine_title has no Pydantic return type — workflow output schema is null. Declare a WorkflowOutput subclass and pass it to Flow(output=…) for a strict contract.