| .github/workflows | ||
| llm | ||
| tests | ||
| .gitignore | ||
| LICENSE | ||
| README.md | ||
| setup.py | ||
llm
Access large language models from the command-line
Installation
Install this tool using pip:
pip install llm
You need an OpenAI API key, which should either be set in the OPENAI_API_KEY environment variable, or saved in a plain text file called ~/.openai-api-key.txt in your home directory.
Usage
The default command for this is llm chatgpt - you can use llm instead if you prefer.
To run a prompt:
llm 'Ten names for cheesecakes'
To stream the results a token at a time:
llm 'Ten names for cheesecakes' -s
To switch from ChatGPT 3.5 (the default) to GPT-4 if you have access:
llm 'Ten names for cheesecakes' -4
Pass --model <model name> to use a different model.
Logging to SQLite
If a SQLite database file exists in ~/.llm/log.db then the tool will log all prompts and responses to it.
You can create that file by running the init-db command:
llm init-db
Now any prompts you run will be logged to that database.
To avoid logging a prompt, pass --no-log or -n to the command:
llm 'Ten names for cheesecakes' -n
Help
For help, run:
llm --help
You can also use:
python -m llm --help
Development
To contribute to this tool, first checkout the code. Then create a new virtual environment:
cd llm
python -m venv venv
source venv/bin/activate
Now install the dependencies and test dependencies:
pip install -e '.[test]'
To run the tests:
pytest