`fabricatio-novel`

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

Installation

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

For the CLI tool:

pip install fabricatio-novel[cli]

Pipeline

Novel generation runs as a five-stage sequential pipeline driven by Handlebars templates.

Draft — Outline text → NovelDraft (title, genre, synopsis, chapter list, character descriptions, language detection)
Characters — NovelDraft → CharacterCard[] (one per described character)
Scripts — NovelDraft + CharacterCard[] → Script[] (batched; each script is a list of Scene objects with per-scene prompts and global writing guidance)
Chapters — Script[] + CharacterCard[] → raw chapter text (sequential; each chapter receives a rolling ChapterSummary from the previous chapter for narrative continuity)
Assembly — Components assembled into a Novel object; NovelBuilder (Rust/PyO3) produces the EPUB

An optional RAG variant (NovelComposeRAG) queries LanceDB for WritingStyleDocument entries and injects them into script-level global_prompt and scene-level prompt fields before chapter generation.

Key Classes

Models

Class	Description
`NovelDraft`	High-level novel plan: title, genre, synopsis, character descriptions, ordered `ChapterDraft` list, expected word count
`ChapterDraft`	Per-chapter outline with title, detailed synopsis, and weight (for word-count allocation)
`Script`	Sequence of `Scene` objects with a `global_prompt` for chapter-level writing guidance
`Scene`	Basic narrative unit: narrative description, tone/style prompt, tags, weight
`ChapterSummary`	Structured summary of a generated chapter — key events, character states, character knowledge, numerical stats, emotional arc, unresolved threads, resolved threads, established facts, last scene
`ChapterPlan`	Bundles a `ChapterDraft`, its `Script`, and computed word count per chapter
`Chapter`	Final chapter with XHTML content, zero-based index, and word count
`Novel`	Collection of `Chapter` objects with aggregate word count, compliance ratio, and `export_chapters_as_texts()` for per-chapter text file export
`WritingStyleDocument`	LanceDB-backed document for storing and retrieving writing style references
`NovelConfig`	Frozen dataclass specifying built-in template names for all pipeline stages

Capabilities (Mixins)

Class	Description
`NovelCompose`	Full pipeline: `create_draft`, `create_characters`, `create_scripts`, `create_chapters`, `summarize_chapter`, `assemble_novel`, `compose_novel`
`NovelComposeRAG`	Extends `NovelCompose` — fetches writing style docs from LanceDB and injects them into script/scene prompts before chapter generation

Actions (fabricatio-actions)

Class	Description
`GenerateNovelDraft`	Generate a `NovelDraft` from an outline
`GenerateCharactersFromDraft`	Generate `CharacterCard` list from a draft
`GenerateScriptsFromDraftsAndCharacters`	Generate `Script` list from draft + characters
`GenerateChaptersFromScripts`	Generate chapter text sequentially from scripts + characters
`AssembleNovelFromComponents`	Build final `Novel` from draft, plans, and chapter contents
`ValidateNovel`	Validate chapter count, word count, and compliance ratio
`GenerateNovel`	Run the full pipeline in one action
`DumpNovel`	Serialize a `Novel` to disk as EPUB via `NovelBuilder`

Workflows (fabricatio-actions)

Workflow	Description
`WriteNovelWorkflow`	One-step outline → EPUB
`DebugNovelWorkflow`	Step-by-step: draft → characters → scripts → chapters → validation → assembly → dump
`GenerateOnlyCharactersWorkflow`	Draft → characters only, for iterating on character design
`RewriteChaptersOnlyWorkflow`	Reuse existing scripts + characters to regenerate chapter prose
`ValidatedNovelWorkflow`	Full pipeline with quality gates (min chapters, word count, compliance ratio)
`RegenerateWithNewCharactersWorkflow`	A/B test character impact by re-running with fresh character generation
`DumpOnlyWorkflow`	Export a pre-built `Novel` object to EPUB

Rust / PyO3

Symbol	Description
`NovelBuilder`	Builder for EPUB 3.0 novels: set title/description/authors, add chapters (auto-XHTML), cover images, fonts, CSS, inline TOC, export to file
`text_to_xhtml_paragraphs`	Convert plain text with newline-separated paragraphs to `<p>`-wrapped XHTML

Usage

CLI

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

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

# Generate with mental state tracking (character psychology)
fanvl wm -o "In a world where dreams are currency..."

# Generate with RAG + mental state tracking
fanvl wrm -o "In a world where dreams are currency..." -rq "Hemingway terse prose style"

# Generate with mental state tracking + illustrations
fanvl wmi -o "In a world where dreams are currency..."

# Generate with RAG + mental state tracking + illustrations
fanvl wrmi -o "In a world where dreams are currency..." -rq "Hemingway terse prose style"

# Store reference texts as writing style documents in LanceDB
fanvl store-refs ./corpus/*.txt

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")

Text Export

from pathlib import Path
from fabricatio_novel.models.novel import Novel

# Export each chapter as chapter-{index}.txt with a metadata.json file.
novel.dump_artifacts("./novel-text")
# → ./novel-text/chapter-0.txt
# → ./novel-text/chapter-1.txt
# → ./novel-text/metadata.json

Each .txt file starts with the chapter title, a blank line, then the chapter content. metadata.json contains the novel title, synopsis, and chapter listing with filenames.

Dependencies

fabricatio-core — Core interfaces, template management, LLM capabilities
fabricatio-character — Character generation and card models
pydantic — Data validation via models
Optional: fabricatio-lancedb — Writing style RAG, fabricatio-actions — workflow support, questionary + typer — CLI

License

MIT — see LICENSE

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