Skip to main content

GitHub Action to make documentation more accessible to LLMs.

Project description

llms-txt-actions

GitHub release (latest by date) GitHub Workflow Status License

Make your documentation LLM friendly.

This Github action/CLI tool can automatically generate markdown (.md) files for each endpoint in your documentation as per the standard proposed by answer.ai, for more details read: https://llmstxt.org/.

File Structure

It completely runs locally be default, by passing MODEL_API_KEY one can choose to engage hosted cloud AI services to generate page summaries.

Features

  • 📄 Content Processing: Generate LLM-ready markdown (.md) files from popular document frameworks such as Readthedocs, MKDocs, Sphinx and more.
  • 🌈 All Formats : Can process HTML, PDF, Images, DOCX, PPTX, XLSX (thanks to docling) and convert them to Markdown. (coming soon)
  • 0️⃣ Zero Config: Works out of the box for most file based documentation framework.
  • 💾 Generate Summaries: Using LLMs, we generate concise summary of each page.
  • 📕 BYO-Model: Thanks to litellm, you can use upto 150 models like OpenAI, VertexAI, Cohere, Anthropic.

Quick Start

There are two ways to access this library.

  1. Add this to your GitHub workflow:
    steps:
      - name: Make docs LLM ready
        uses: demodrive-ai/llms-txt-action@v1

  # OR You can choose to use an AI model to generate summaries, its completely optional.
      steps:
      - name: Make docs LLM ready
        env:
          MODEL_API_KEY: ${{ secrets.MODEL_API_KEY }}
        uses: demodrive-ai/llms-txt-action@v1
        # any other inputs you would like to set.

OR

You can use it outside of Github Action.

# python 3.9 or above
pip install llms-txt-action

llms-txt --docs-dir site/
# The first run takes a while as it downloads models files from the intrnet.

Input Parameters

Parameter Required Default Description
docs_dir No site/ Documentation output directory
skip_llms_txt No true Skip llms.txt file generation.
skip_llms_full_txt No true skip llms-full.txt file generation.
skip_md_files No true Skip generation of markdown files
llms_txt_name No llms.txt Name of the llms.txt output file
llms_full_txt_name No llms-full.txt Name of the llms-full.txt output file
sitemap_path No sitemap.xml Path relative to docs_dir to the sitemap.xml file [default: sitemap.xml]
model_name No gpt-4o Whether to push generated files to github artifacts

Secret Parameters

Parameter Required Default Description
MODEL_API_KEY No None This key (eg. OPENAI_API_KEY) will be used to summarize pages to create llms.txt. Needs to match the model_name provider. If using the default model_name, pass OPENAI_API_KEY.

Local Development

  1. Clone and install:

    # clone the repo
    uv sync
    
  2. Run the crawler:

    uv run python -m "llms_txt_action.entrypoint" --docs-dir site/
    

Examples

ReadtheDocs

To integrate llms-txt-action with ReadtheDocs, you'll need to configure two files in your project:

  1. .readthedocs.yaml - The main ReadtheDocs configuration file that defines the build environment and process
  2. docs/requirements.txt - Python package dependencies needed for building your documentation

Here's how to set up both files:

# .readthedocs.yaml
version: 2

build:
  os: ubuntu-22.04
  tools:
    python: "3.12" # ^3.9 is supported.
  jobs:
    post_build:
      - llms-txt --docs-dir $READTHEDOCS_OUTPUT/html

mkdocs:
  configuration: mkdocs.yml

python:
  install:
  - requirements: docs/requirements.txt
# docs/requirements.txt
llms-txt-action

MkDocs + Github Pages

MkDocs is a fast and simple static site generator that's geared towards building project documentation. Here's how to integrate llms-txt-action with MkDocs when deploying to GitHub Pages:

  1. First, ensure you have a working MkDocs setup with your documentation source files.

  2. Create or update your GitHub Actions workflow file (e.g., .github/workflows/docs.yml) with the following configuration:

# github action - .github/workflows/docs.yml

      - name: Generate static files
        run : mkdocs build

      - name: Make docs LLM ready
        uses: demodrive-ai/llms-txt-action@v1

      - name: Deploy to Github
        run : mkdocs gh-deploy --dirty
        # --dirty helps keep the generated .md and .txt files from getting deleted.

Sphinx + Github Pages

Sphinx is a popular documentation generator for Python projects. Here's how to integrate llms-txt-action with Sphinx and GitHub Pages:

  1. First, ensure you have a working Sphinx documentation setup with a docs/ directory containing your source files and configuration.

  2. Create or update your GitHub Actions workflow file (e.g., .github/workflows/docs.yml) with the following configuration:

#...
#...
      - name: Build HTML
        uses: ammaraskar/sphinx-action@master
      - name: Make docs LLM Ready
        uses: demodrive-ai/llms-txt-action@v1
        with:
          name: docs-dir
          path: docs/build/html/
      - name: Deploy
        uses: peaceiris/actions-gh-pages@v3
        with:
          github_token: ${{ secrets.GITHUB_TOKEN }}
          publish_dir: docs/build/html
#...
#...

License

This project is licensed under the MIT License - see the LICENSE file for details.

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

llms_txt_action-1.0.1.tar.gz (296.3 kB view details)

Uploaded Source

Built Distribution

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

llms_txt_action-1.0.1-py3-none-any.whl (9.9 kB view details)

Uploaded Python 3

File details

Details for the file llms_txt_action-1.0.1.tar.gz.

File metadata

  • Download URL: llms_txt_action-1.0.1.tar.gz
  • Upload date:
  • Size: 296.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for llms_txt_action-1.0.1.tar.gz
Algorithm Hash digest
SHA256 ee3125ea81398310135317c13ca3adea731bb6e1e730393dd80aa7d6f1a4742b
MD5 39a1c5eb279661d9d1dae2fdea782138
BLAKE2b-256 45f0029846372fd3c06c4ea7d0226171aaf6172e2ca27469fa654241b54a8db8

See more details on using hashes here.

Provenance

The following attestation bundles were made for llms_txt_action-1.0.1.tar.gz:

Publisher: deploy-pypi.yml on demodrive-ai/llms-txt-action

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file llms_txt_action-1.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for llms_txt_action-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 c0a15065df6fcaac8c7c5d20682b1b6bd9624ce27fbf041cdb922ce3cf00318e
MD5 907969dd49c110c552f9221edf65877c
BLAKE2b-256 3450e543331e6d36be18f42caaee1f08dbc66d190e5eec149a3d1d792f323185

See more details on using hashes here.

Provenance

The following attestation bundles were made for llms_txt_action-1.0.1-py3-none-any.whl:

Publisher: deploy-pypi.yml on demodrive-ai/llms-txt-action

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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