llm-empiriolabs

LLM plugin for accessing EmpirioLabs AI models.

EmpirioLabs AI is specialized AI model hosting for open, proprietary, and custom stacks. Its chat models include Qwen3, DeepSeek V4, GLM-5.1, Kimi K2.7 Code and MiniMax M3; browse the full catalog at docs.empiriolabs.ai.

Installation

Install this plugin in the same environment as LLM.

llm install llm-empiriolabs

Configuration

Set an API key for EmpirioLabs:

llm keys set empiriolabs
# Paste your EMPIRIOLABS_API_KEY when prompted

You can also set the EMPIRIOLABS_API_KEY environment variable instead.

Usage

List the available EmpirioLabs AI models:

llm models list | grep -i empiriolabs

Run a prompt:

llm -m empiriolabs/qwen3-7-plus "Five surprising facts about octopuses"

Start an interactive chat:

llm chat -m empiriolabs/deepseek-v4-pro

Pipe content in:

cat article.txt | llm -m empiriolabs/glm-5-1 "Summarize this in three bullet points"

The plugin fetches the live model list from https://api.empiriolabs.ai/v1/models on first use (cached for an hour). If that call is unavailable it falls back to a built-in list of popular slugs:

• empiriolabs/qwen3-7-plus
• empiriolabs/qwen3-7-max
• empiriolabs/deepseek-v4-pro
• empiriolabs/deepseek-v4-1-flash
• empiriolabs/glm-5-1
• empiriolabs/kimi-k2-7-code
• empiriolabs/minimax-m3

Development

To set up this plugin locally, first checkout the code. Then create a new virtual environment:

cd llm-empiriolabs
python -m venv venv
source venv/bin/activate

Now install the dependencies and test dependencies:

pip install -e '.[test]'

To run the tests:

pytest

License

Apache-2.0