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# LLM
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[](https://pypi.org/project/llm/)
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[](https://llm.datasette.io/)
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[](https://llm.datasette.io/en/stable/changelog.html)
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[](https://github.com/simonw/llm/actions?query=workflow%3ATest)
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[](https://github.com/simonw/llm/blob/main/LICENSE)
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Access large language models from the command-line
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Full documentation: ** [llm.datasette.io ](https://llm.datasette.io/ )**
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See [llm, ttok and strip-tags—CLI tools for working with ChatGPT and other LLMs ](https://simonwillison.net/2023/May/18/cli-tools-for-llms/ ) for more on this project.
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## Installation
Install this tool using `pip` :
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pip install llm
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Or using [Homebrew ](https://brew.sh/ ):
brew install simonw/llm/llm
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[Detailed installation instructions ](https://llm.datasette.io/en/stable/setup.html ).
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## Getting started
First, create an OpenAI API key and save it to the tool like this:
```
llm keys set openai
```
This will prompt you for your key like so:
```
$ llm keys set openai
Enter key:
```
Now that you've saved a key you can run a prompt like this:
```
llm "Five cute names for a pet penguin"
```
```
1. Waddles
2. Pebbles
3. Bubbles
4. Flappy
5. Chilly
```
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Read the [usage instructions ](https://llm.datasette.io/en/stable/usage.html ) for more.
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## Help
For help, run:
llm --help
You can also use:
python -m llm --help