community_contributions/novel-generator/README.md · Pagi66/linkedin

IN USING THE CODE IN THIS EXAMPLE APP, YOU RELEASE GREGORY LAFRANCE AND ANY ORGANIZATIONS ASSOCIATED WITH HIM FROM ANY LIABILITY RELATED TO FEES FOR TOKEN USAGE OR ANY OTHER FEES OR PENALTIES INCURRED.

This app is an example of performing deep research using the OpenAI Agent SDK.

It enables you to easily generate novels.

Input parameters you can input include:

number of pages to generate for the novel
number of chapters in the novel
title of the novel
the general plot of the novel
maximum tokens to use in creating the novel, after which an error message will be displayed

Here is a general formula for calculating tokens per page:

T ≈ pages * 1600 tokens

Example for a 99 page novel, everything to GPT-4o-mini:

Total tokens (1600 per page, 99 pages): ~158,400
Cost (input/output combined):
- Assume 50% input @ $0.0005 = 79.2K × $0.0005 = $0.04
- 50% output @ $0.0015 = 79.2K × $0.0015 = $0.12
- Total = ~$0.16 per book

To run this example you should:

create a .env file in the project root (outside the GitHub repo!!!) and add the following API keys:
OPENAI_API_KEY=your-openai-api-key
install Python 3 (might already be installed, execute python3 --version in a Terminal shell)
install the uv Python package manager https://docs.astral.sh/uv/getting-started/installation
clone this repository from GitHub: https://github.com/glafrance/agentic-ai.git
CD into the repo folder deep-research/novel-generator
uv venv # create a virtual environment
uv pip sync # installs all exact dependencies from uv.lock
execute the app: uv run main.py

When prompted, enter specifications for the novel to be generated, such as:

number of pages to generate for the novel
number of chapters in the novel
title of the novel
the general plot of the novel
maximum tokens to use in creating the novel, after which an error message will be displayed

Note that you can just press Enter to accept the defaults, and auto-generated title, novel plot.