Skip to content

global/content-series

Connected content series — generate multi-part content with narrative threading.

Category: global
Source: workflows/content/series.py

FieldTypeDefaultDescription
brand_voicestring""
hook_ideasany[]
nichestring""
num_partsinteger3
platformstring"instagram"
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.
target_audiencestring""
tone_modestring"narrative"
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_series
TaskDescription
generate_seriesGenerate a connected multi-part content series with narrative threading.

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/content-series
# Optional fields — copy any line(s) under `input:` and uncomment to set:
# brand_voice: ""
#
# hook_ideas: []
#
# niche: ""
#
# num_parts: 3
#
# platform: instagram
#
# target_audience: ""
#
# tone_mode: narrative
#
# 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=global/content-series' \
-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 generate_series has no Pydantic return type — workflow output schema is null. Declare a WorkflowOutput subclass and pass it to Flow(output=…) for a strict contract.