Skip to main content

AI-powered narrative generation system implementing Software 3.0 methodology - The Soul of Your Story's Blueprint

Project description

Storytelling: Turn Your Ideas Into Complete Narratives

Transform a simple story idea into a fully-written, multi-chapter narrative. WillWrite is an AI-powered storytelling partner that handles the heavy lifting—outline generation, chapter planning, scene development, and revision—so you can focus on your creative vision.

What It Does ?

Create complete stories in minutes. You provide a story prompt. The system generates:

  • A structured outline with plot, characters, and themes
  • Individual chapters with detailed chapter outlines
  • Four polished scenes per chapter
  • Multiple revision passes for consistency and quality
  • Session persistence—pause and resume anytime

Powered by advanced AI orchestration. Built on LangGraph and LangChain with multi-LLM provider support, knowledge-base integration, and intelligent retrieval-augmented generation (RAG).

Getting Started

Installation

# Basic installation
pip install storytelling

# With full features (web fetching, local embeddings, cloud logging)
pip install storytelling[all]

Your First Story

# Create a prompt file
echo "A detective discovers a mysterious library" > my_prompt.txt

# Generate your story
storytelling --prompt my_prompt.txt --output my_story.md

Your completed story appears in my_story.md.

Using Your Own LLMs

# With local Ollama
storytelling --prompt prompt.txt \
  --initial-outline-model "ollama://mistral@localhost:11434"

# With Google Gemini
storytelling --prompt prompt.txt \
  --initial-outline-model "google://gemini-2.5-flash"

Key Features

Flexible AI Providers

  • Google (Gemini, PaLM)
  • Ollama (local models)
  • OpenRouter (community models)
  • Custom endpoints

Knowledge-Aware Generation

  • Integrate your own knowledge bases
  • Web content retrieval
  • Semantic context enhancement
  • Consistent worldbuilding

Session Management

  • Pause and resume at any stage
  • Checkpoint-based recovery
  • Narrative branching
  • Full generation history

Production Ready

  • Comprehensive logging with Langfuse
  • Type-safe with Pydantic
  • Configurable for various use cases
  • Extensible architecture

Command Line

storytelling --help                    # See all options
storytelling --prompt file.txt         # Generate story
storytelling --list-sessions           # See your past sessions
storytelling --resume <session-id>     # Continue a session

Documentation

  • Full Setup Guide: See scripts/init.sh for environment setup
  • Architecture: Check rispecs/ directory for detailed specifications
  • Specifications: RISPECS.md contains implementation architecture
  • Prompts & Models: rispecs/Prompts.md and rispecs/LLM_Provider_Specification.md

Development

# Setup development environment
./scripts/init.sh

# Run tests
make test

# Check code quality
make lint

# Build and release
make release-check

License

CC0-1.0 License - See LICENSE

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

storytelling-0.2.19.tar.gz (66.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

storytelling-0.2.19-py3-none-any.whl (69.3 kB view details)

Uploaded Python 3

File details

Details for the file storytelling-0.2.19.tar.gz.

File metadata

  • Download URL: storytelling-0.2.19.tar.gz
  • Upload date:
  • Size: 66.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.14

File hashes

Hashes for storytelling-0.2.19.tar.gz
Algorithm Hash digest
SHA256 e49d8f8b11b56df4d57f0a789c1d09f28a6a2cc1144017bdf5a97d3ee6fbe1d0
MD5 4ed7c569200a389430b1f506d0330b4e
BLAKE2b-256 a76f66014e4487b00e700ebea7ac3a48a9188f840824f6780860a5b9c3ac67bc

See more details on using hashes here.

File details

Details for the file storytelling-0.2.19-py3-none-any.whl.

File metadata

  • Download URL: storytelling-0.2.19-py3-none-any.whl
  • Upload date:
  • Size: 69.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.14

File hashes

Hashes for storytelling-0.2.19-py3-none-any.whl
Algorithm Hash digest
SHA256 1e50a5c7129d6f1e2dfc3fbaf181e751dc7d33d28c00a3a8bc4e70c809af8f60
MD5 bbb6687d355d88ae125fc11e7825d28f
BLAKE2b-256 15d7edd11df86f5ba479824723af7a49b762c87d9327813c46db993c239bcf6a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page