llm/docs/contributing.md
Simon Willison 54f54efcbe
Convert from setup.py to pyproject.toml (#908)
* Build package as part of tests, upload as artifact
* Only stash artifact for ubuntu-latest Python 3.13

Closes #907
2025-04-10 16:57:53 -07:00

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# Contributing
To contribute to this tool, first checkout the code. Then create a new virtual environment:
```bash
cd llm
python -m venv venv
source venv/bin/activate
```
Or if you are using `pipenv`:
```bash
pipenv shell
```
Now install the dependencies and test dependencies:
```bash
pip install -e '.[test]'
```
To run the tests:
```bash
pytest
```
## Debugging tricks
The default OpenAI plugin has a debugging mechanism for showing the exact requests and responses that were sent to the OpenAI API.
Set the `LLM_OPENAI_SHOW_RESPONSES` environment variable like this:
```bash
LLM_OPENAI_SHOW_RESPONSES=1 llm -m chatgpt 'three word slogan for an an otter-run bakery'
```
This will output details of the API requests and responses to the console.
Use `--no-stream` to see a more readable version of the body that avoids streaming the response:
```bash
LLM_OPENAI_SHOW_RESPONSES=1 llm -m chatgpt --no-stream \
'three word slogan for an an otter-run bakery'
```
## Documentation
Documentation for this project uses [MyST](https://myst-parser.readthedocs.io/) - it is written in Markdown and rendered using Sphinx.
To build the documentation locally, run the following:
```bash
cd docs
pip install -r requirements.txt
make livehtml
```
This will start a live preview server, using [sphinx-autobuild](https://pypi.org/project/sphinx-autobuild/).
The CLI `--help` examples in the documentation are managed using [Cog](https://github.com/nedbat/cog). Update those files like this:
```bash
just cog
```
You'll need [Just](https://github.com/casey/just) installed to run this command.
## Release process
To release a new version:
1. Update `docs/changelog.md` with the new changes.
2. Update the version number in `pyproject.toml`
3. [Create a GitHub release](https://github.com/simonw/llm/releases/new) for the new version.
4. Wait for the package to push to PyPI and then...
5. Run the [regenerate.yaml](https://github.com/simonw/homebrew-llm/actions/workflows/regenerate.yaml) workflow to update the Homebrew tap to the latest version.