lmrunner 0.1.1

CLI to manage local language model inference endpoints

LMRunner

LMRunner is a lightweight CLI for starting and managing local LLM inference endpoints backed by llama.cpp.

Installation

From source

git clone https://github.com/jschw/LMRunner.git
cd LMRunner
python -m pip install -e .

With pip

If you want to compile llama-server by yourself or just download the binaries, just do:

python -m pip install --upgrade lmrunner

You will have to set the path according in llm_server_config.json . Standard path of llama.cpp is /lmrunner/Llamacpp/llama.cpp/build/bin/llama-server .

If you want to install the python-bindings for llama.cpp (easier but may not up-to-date):

python -m pip install --upgrade lmrunner[llamacppbindings]

Run

./lmrunner

Commands

Commands are entered inside the interactive prompt and always start with /.

Command	Function
/getconfigpaths	Output the paths of LLM config files.
/editlmconf	Open llm_config.json in the default text editor.
/editserverconf	Open llm_server_config.json in the default text editor.
/refreshconf	Reload llm_config.json and llm_server_config.json.
/updatemodels	Update the LLM model catalog from GitHub and print the available models.
/listendpoints	List all available LLM endpoint configs.
/startendpoint <name>	Start a specific LLM endpoint by config name.
/restartendpoint <name>	Restart a specific LLM endpoint by config name.
/stopendpoint <name>	Stop a specific LLM endpoint by config name.
/stopallendpnts	Stop all LLM inference endpoints.
/llmstatus	Show the status of local LLM inference endpoints.
/setautostartendpoint <name>	Set a specific LLM endpoint for autostart on next startup.
/help	Show the help message.
/exit	Exit the CLI and stop running endpoints.