Generate text/narrative products.

Generated from Zyra 0.1.54. See Pipeline Schema for how args keys become CLI flags.

Commands: describe Β· swarm


narrate describe

zyra narrate describe

Options

Arg key

CLI flag

Type

Default

Description

topic

--topic

str

Topic to narrate (placeholder)

narrate swarm

Run a lightweight narration swarm with presets and YAML merging. When audiences are provided, an internal audience_adapter agent emits _version outputs. Provenance is recorded per agent with started/model/prompt_ref/duration_ms and included in the Narrative Pack.

Options

Arg key

CLI flag

Type

Default

Description

preset

--preset

str

Preset template name (use β€˜-P help’ to list presets)

list_presets

--list-presets

bool

False

List available presets and exit

swarm_config

--swarm-config

str

YAML config with agents/graph/settings

agents

--agents

str

Comma-separated agent IDs (e.g., summary,critic)

audiences

--audiences

str

Comma-separated audiences (e.g., kids,policy)

style

--style

str

Target writing style (e.g., journalistic)

provider

--provider

str

LLM provider (mock|openai|ollama|gemini|vertex). Gemini accepts GOOGLE_API_KEY or Vertex creds.

model

--model

str

Model name (provider-specific)

base_url

--base-url

str

Provider base URL override

max_workers

--max-workers

int

Max concurrent agents (optional)

max_rounds

--max-rounds

int

Review rounds (0 disables critic/editor loop)

pack

--pack

str

Output file for Narrative Pack (yaml or json); β€˜-’ for stdout

rubric

--rubric

str

Path to critic rubric YAML (defaults to packaged critic rubric)

verbose

--verbose

bool

False

Verbose logging (shows per-agent dialog)

quiet

--quiet

bool

False

Quiet logging (errors only)

input

--input

path

Optional input file path or β€˜-’ for stdin (JSON/YAML autodetect; falls back to text)

critic_structured

--critic-structured

bool

False

Emit structured critic output (critic_notes as {notes: …})

attach_images

--attach-images

bool

False

Attach images from input_data.images to LLM calls (multimodal models only)

strict_grounding

--strict-grounding

bool

False

Fail the run if critic flags ungrounded content

guardrails

--guardrails

str

Guardrails (.rail) schema applied to stage outputs (optional)

strict_guardrails

--strict-guardrails

bool

False

Fail the run if guardrails validation fails

memory

--memory

str

Provenance store path (SQLite). Use β€˜-’ for in-memory/no file.