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AI-powered CLI tool that generates Markdown documentation from Python docstrings and code structure

Project description

AutoDocGen

AI-powered Markdown documentation generator for Python projects.

License: MIT Python 3.10+

AutoDocGen scans your Python source code, extracts docstrings and structure using Python's built-in AST parser, and uses AI to generate comprehensive, readable Markdown documentation — one file per module plus a navigable index.


Features

  • Multi-Provider Support — Works with OpenRouter, Groq, Google Gemini, and OpenAI.
  • AST-based parsing — No fragile regex. Uses Python's ast module to accurately extract modules, classes, methods, and functions.
  • Jinja2 Templates — Clean, customizable Markdown output using industry-standard templates.
  • Async function support — Correctly identifies and labels async def functions.
  • Cross-module linking — Automatically traces imports to create related module links.
  • Navigable index — Produces a comprehensive index.md.
  • Flexible configuration — Supports .env, autodocgen.yaml, pyproject.toml, and CLI flags.

Installation

git clone https://github.com/shifulegend/autodocgen
cd autodocgen
pip install .

Configuration

Set your API keys in a .env file (which is gitignored):

OPENAI_API_KEY=sk-...
GROQ_API_KEY=gsk_...
OPENROUTER_API_KEY=sk-or-...
GOOGLE_API_KEY=AIza...

autodocgen.yaml example

llm:
  provider: groq
  model: llama-3.1-8b-instant

output:
  dir: docs

source:
  - autodocgen

Usage

# Generate docs using settings from autodocgen.yaml
autodocgen . --verbose

# Override provider/model via CLI
autodocgen . --output docs_custom -v

Roadmap

  • Multi-provider LLM support (OpenRouter, Groq, Gemini)
  • Jinja2 template-based rendering
  • Async AI calls for faster generation
  • Incremental generation (skip unchanged files)
  • HTML and reStructuredText output formats

License

MIT — Copyright (c) 2025-2026 AutoDocGen Team

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