`fabricatio-novel`

AI-powered novel generation — outline to publication-ready EPUB.

Full dataflow and generation-logic walkthrough: docs/superpowers/specs/2026-08-21-novel-generation-dataflow.md

Installation

pip install fabricatio[novel]
# or
uv pip install fabricatio[novel]

For the CLI tool:

pip install fabricatio-novel[cli]

Pipeline

Generation runs a staged, template-driven pipeline over a context tree (NovelContext → ChapterContext → StoryContext → SceneContext), with every plan and character state proposed by the LLM in batched calls:

Metadata — outline → NovelPlan (title, description, word count, global writing constraint, bible)
Characters — bible roster → one CharacterSpan (start + end card) per character for the whole novel
Chapters — chapter plans, then N-1 boundary cards per character so chapter 1 starts at the roster start and the last chapter ends at the roster end
Stories — per chapter: story plans, then S-1 boundary cards per character anchored on the chapter's start/end
Scenes — per story: scene plans; the story's spans are broadcast to every scene, which is where the prose is actually written
Assembly — the composed context tree becomes a Novel; NovelBuilder (Rust/PyO3) produces the EPUB

Character state is two pure cards, never an interpolated chain: the LLM is only asked for the coarsest boundary states, and code stitches them so continuity is guaranteed. Single-child levels inherit their parent's spans with no LLM call.

The CLI runs the pipeline as a staged workflow (DebugNovelWorkflow), persisting a whole-tree JSON snapshot after every stage so any wrong result is traceable:

01_init → 02_metadata → 03_characters → 04_chapter_plans → 05_story_plans
       → 06_scene_plans → 07_scenes → 08_novel → 09_export

An optional RAG variant (RagDebugNovelWorkflow) retrieves WritingStyleDocument entries from LanceDB once per story and renders them raw into the scene prompts.

Data Flow & Prompt Assembly

The pipeline follows one principle: every LLM touchpoint is a template plus named context variables, and nothing else. Each stage renders a Handlebars template from the current context channel; planner calls parse the reply into validated pydantic models, while the single prose call captures raw paragraphs. Everything between calls — word-count allocation, character-arc stitching, prefix propagation, assembly — is deterministic code.

Staged pipeline with its LLM call inventory

LLM call inventory

Stage	Template · prompted with	Yields
Metadata	`novel_metadata_requirement` ← `outline`, `language`, `constraint`	`NovelPlan` (adopted onto the root)
Roster spans	`novel_character_span` ← bible prompt block, title, description	`CharacterSpan[]` — skipped without a roster
Chapter plans	`chapter_plan` ← outline, novel fields, word count, styles, constraint, characters	`ChapterPlan[]`
Chapter boundaries	`chapter_character_span` ← roster spans, chapter titles/descriptions	N−1 boundary cards per character
Story plans	`story_plan` ← chapter fields, styles, constraint, characters, cast	`StoryPlan[]`
Story boundaries	`story_character_span` ← chapter spans, story titles/descriptions	S−1 boundary cards per character
Scene plans	`scene_plan` ← story fields, styles, constraint, characters, cast	`ScenePlan[]`
Scene prose	`scene_requirement` ← 11 variables, see below	plain prose → `Scene.content`

Templates live in templates/built-in/ and are selectable through the Configuration keys below.

What flows down the tree

Plans materialize into child contexts via from_plan; each level then passes state down:

Running manuscript — an append-only ContextLog; every walk seeds each child with exactly the bytes that precede it in the final book (iter_prefixed_contexts)
Setting bible — rendered once at the root into a setting_bible prefix entry; every descendant inherits it through its own log
Word budget — each level splits its expected_word_count among children by plan weight
Writing constraint — accumulated verbatim down the chain
Character arcs — the roster fixes both endpoints; intermediate boundary cards are proposed per level and stitched in code; scenes receive the finished span list read-only

Composed prose flows back up: scene content enters the logs, and Novel.from_context aggregates the whole tree for export.

Context-tree data flow: what flows down, what flows up

How a scene prompt is assembled

The scene write is the only content-producing call, so its prompt is engineered for provider prefix caching: every row above ## Scene is byte-identical across the scenes of a story, and divergence starts exactly at the per-scene tail.

Scene prompt assembly: sources, template sections, response

Key Classes

Context channels

Class	Role
`NovelContext`	Root channel: outline, language, roster `charactor_span`, `chapter_context`
`ChapterContext`	Chapter channel: `charactor_span`, `story_context`, heading block
`StoryContext`	Story channel: `charactor_span`, `scene_context`, accumulated `writing_styles`, optional `rag` retrieval settings
`SceneContext`	Leaf channel: broadcast `charactor_span`, `content` (the only composed prose)
`CharacterSpan`	Start + end `CharacterCard`; `derive_child_spans` stitches boundary cards
`ContextLog` / `ContextEntry`	Append-only manuscript log per channel: `append`, `branch` (fork history), `clear` (fresh fork); renders the prefixed-content prompt streams
`SeriesBible`	`characters` name list + `background_settings` fact list; rendered once into a `setting_bible` prefix entry at the root

Every channel carries its running manuscript as an append-only ContextLog: composed blocks enter as frozen ContextEntry records, parents seed children with pure log snapshots, and prompts render them exactly like the former prefixed-content strings. Logs support with_entry/with_entries appends, branch() to fork alternative continuations from any point (copy-on-write), and clear() which returns a fresh empty log while the original history stays intact.

Plans & models

Class	Description
`NovelPlan`	Novel metadata: title, description, word count, global constraint, bible
`ChapterPlan` / `StoryPlan` / `ScenePlan`	Weighted per-element plans (title, description, weight, style, constraint, cast)
`Scene` / `Story` / `Chapter` / `Novel`	Materialized output tree with word-count satisfaction
`WritingStyleDocument` / `EnrichedDocument`	LanceDB-backed writing-style references

Capabilities (mixins)

Class	Description
`SceneCompose`	Scene requirement rendering + prose generation
`StoryCompose`	Scene planning, scene write preparation, serial scene composition
`ChapterCompose`	Story planning, `draft_story_spans` (S-1 boundary cards), story composition
`NovelCompose`	Metadata, `prepare_character_span` (roster), chapter planning, `draft_chapter_spans` (N-1 boundary cards)
`RAGCompose`	Retrieves style docs once per story; extends scene prompts
`BibleCompose`	Creates/updates the setting bible from an outline

Actions (staged workflow)

Action	Stage
`InitNovelContext`	`01_init` — build context from outline/language/constraint/bible
`MetadataStage`	`02_metadata` — propose novel plan
`CharactersStage`	`03_characters` — propose roster spans
`ChapterPlanStage`	`04_chapter_plans` — plan chapters + draft boundaries
`StoryPlanStage`	`05_story_plans` — plan stories + draft boundaries
`ScenePlanStage` / `RagScenePlanStage`	`06_scene_plans` — plan scenes (with RAG)
`SceneWriteStage` / `RagSceneWriteStage`	`07_scenes` — broadcast spans + write scene prose
`AssembleStage`	`08_novel` — materialize `Novel`
`DumpNovelStage`	export — JSON always; EPUB and/or per-chapter `chapters/NN.txt` per `format`

Workflows

Workflow	Description
`DebugNovelWorkflow`	Outline → exported novel (`--format epub\|txt\|both`), one stage per action with per-stage snapshots
`RagDebugNovelWorkflow`	Same, with writing-style RAG per story

Rust / PyO3

Symbol	Description
`NovelBuilder`	Builder for EPUB 3.0 novels: title/description/authors, chapters (auto-XHTML), cover, fonts, CSS, TOC
`text_to_xhtml_paragraphs`	Plain text → `<p>`-wrapped XHTML paragraphs

Configuration

All options below are read through the fabricatio configuration chain (see the Configuration Guide). Set them under the [ext.novel] table in fabricatio.toml, equivalently under [tool.fabricatio.ext.novel] in pyproject.toml, or via FABRICATIO_EXT__NOVEL__<FIELD_UPPER> environment variables.

[ext.novel]
novel_metadata_requirement_template = "built-in/novel_metadata_requirement"

Option	Type	Default	Description
`novel_metadata_requirement_template`	`str`	`"built-in/novel_metadata_requirement"`	template used to extract the novel metadata (title, synopsis, word count) from the outline.
`chapter_plan_template`	`str`	`"built-in/chapter_plan"`	template used to plan the chapters of the novel from the outline and metadata.
`story_plan_template`	`str`	`"built-in/story_plan"`	template used to plan the stories of a chapter.
`scene_plan_template`	`str`	`"built-in/scene_plan"`	template used to plan the scenes of a story.
`scene_requirement_template`	`str`	`"built-in/scene_requirement"`	template used to write a single scene in full prose.
`render_chapter_xhtml_template`	`str`	`"built-in/render_chapter_xhtml"`	template used to render a chapter as a full XHTML document.
`setting_bible_characters_template`	`str`	`"built-in/setting_bible_characters"`	template used to propose the bible's character roster as a list of plain strings, one character per item.
`setting_bible_background_template`	`str`	`"built-in/setting_bible_background"`	template used to propose the bible's background settings as a list of strings.
`setting_bible_context_template`	`str`	`"built-in/setting_bible_context"`	template that renders the bible into the block seeded into the running manuscript prefix.
`setting_bible_export_template`	`str`	`"built-in/setting_bible_export"`	template used to render the bible as a human-readable markdown document.
`writing_style_as_prompt_template`	`str`	`"built-in/writing_style_as_prompt"`	template used to render writing style documents as prompts.
`enriched_as_prompt_template`	`str`	`"built-in/enriched_as_prompt"`	template used to render enriched reference documents as prompts.
`novel_character_span_template`	`str`	`"built-in/novel_character_span"`	template used to propose the novel roster as one CharacterSpan per character.
`chapter_character_span_template`	`str`	`"built-in/chapter_character_span"`	template used to draft the N-1 chapter-boundary cards from the novel roster spans.
`story_character_span_template`	`str`	`"built-in/story_character_span"`	template used to draft the S-1 story-boundary cards from the chapter's spans.

Access at runtime: from fabricatio_novel.config import novel_config.

Usage

CLI

# Generate a novel from an outline
fanvl w -o "In a world where dreams are currency..."

# Generate with writing style RAG (LanceDB)
fanvl wr -o "In a world where dreams are currency..." -rq "Hemingway terse prose style"

# Constrain generation with a setting bible + global writing constraint
fanvl w -o "..." -b settings/bible.json -c "first person view throughout"

# Export as plain text instead of (or besides) EPUB: chapters/01.txt, 02.txt, …
fanvl w -o "..." --format both
fanvl w -o "..." --format txt

# Create / update / show the setting bible
fanvl bible create -o "In a world where dreams are currency..." --out settings/bible.json
fanvl bible update settings/bible.json -o "..." --sections characters
fanvl bible show settings/bible.json

# Store reference texts as writing style documents in LanceDB
fanvl store-refs ./corpus/*.txt
fanvl enrich-refs ./corpus/*.txt -eg "Extract world-building facts"

Programmatic

from fabricatio_novel.workflows.novel import DebugNovelWorkflow
from fabricatio_core import Event

event = Event.instantiate("write")
event.payload["novel_outline"] = "In a world where dreams are currency..."
role = Role.with_bio(name="writer").subscribe(event, DebugNovelWorkflow).dispatch()

EPUB Builder (Rust)

from fabricatio_novel.rust import NovelBuilder, text_to_xhtml_paragraphs

xhtml = text_to_xhtml_paragraphs(raw_chapter_text)

builder = (
    NovelBuilder()
    .new_novel()
    .set_title("My Novel")
    .add_author("Author Name")
    .add_chapter("Chapter 1", xhtml)
    .add_inline_toc()
)

builder.export("output.epub")

Dependencies

fabricatio-core — Core interfaces, template management, LLM capabilities
fabricatio-character — Character card models
pydantic — Data validation via models
Optional: fabricatio-lancedb — writing style RAG, typer — CLI

License

MIT — see LICENSE

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