faker-news 0.1.1

Faker provider for generating fake news content using OpenAI-compatible LLM APIs

faker-news

Faker provider that turns any OpenAI-compatible LLM into a fake news generator with caching and reuse controls.

Features

• Generate headlines, intros, and full articles on demand
• Keep content in a SQLite cache with per-item usage tracking
• Batch requests to minimize API calls and latency
• Works with OpenAI, Azure OpenAI, Qwen/DashScope, and other OpenAI-compatible APIs

Installation

pip install faker-news

Quick Start

Try it without installation using uvx:

# Set up your API key / load example data
uvx faker-news setup

# Browse generated articles
uvx faker-news browse

Use as a library:

from faker import Faker
from faker_news import NewsProvider

fake = Faker()
provider = NewsProvider(fake)
fake.add_provider(provider)

headline = fake.news_headline()
intro = fake.news_intro(headline=headline)
article = fake.news_article(headline=headline, words=500)

Documentation

Full guides, API reference, and CLI details live in the docs/ directory. Start with docs/quick-start.md or docs/cli-reference.md.

Contributing

See docs/contributing.md for the development workflow and guidelines.

License

MIT