LLM plugin for models hosted by OpenRouter
Project description
llm-xai
LLM plugin to access xAI's models
Installation
First, install the LLM command-line utility.
Now install this plugin in the same environment as LLM.
llm install llm-xai
Configuration
You will need an API key from xAI. You can obtain one here.
You can set that as an environment variable called XAI_KEY
, or add it to the llm
set of saved keys using:
llm keys set xai
Enter key: <paste key here>
Usage
To list available models, run:
llm models list
You should see a list that looks something like this:
xAI: xAI/grok-beta
xAI: xAIcompletion/grok-beta
...
To run a prompt against a model, pass its full model ID to the -m
option, like this:
llm chat -m xAI/grok-beta
Enter your prompt, and have a chat:
Chatting with xAI/grok-beta
Type 'exit' or 'quit' to exit
Type '!multi' to enter multiple lines, then '!end' to finish
> sup playa
Hey, what's up?
>
xAI offers a completion endpoint.
llm -m xAIcompletion/grok-beta "You must know this about me:"
I’m not a fan of being alone. I have a hard time finding peace in the silence. My own thoughts drive me crazy. But I knew I had to do this for myself. I had to prove to myself that I could be alone and be okay with it
...
You can set a shorter alias for a model using the llm aliases
command like so:
llm aliases set grok xAI/grok-beta
Now you can prompt Claude using:
cat llm_xai.py | llm -m grok-beta -s 'write some pytest tests for this'
Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
cd llm-xai
python3 -m venv venv
source venv/bin/activate
Now install the dependencies and test dependencies:
pip install -e '.[test]'
To run the tests:
pytest
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