A CLI tool for AI-assisted coding using Triton LLM backend
Project description
Kubrick CLI
An AI-assisted coding CLI tool powered by your own Triton LLM backend. Like Claude Code, but self-hosted.
Installation
Local Installation
pip install -e .
kubrick
Docker
cd /path/to/your/project
docker run --rm -it \
--network host \
-v ${HOME}:/home/kubrick \
-v ${PWD}:/workspace \
-v /etc/localtime:/etc/localtime:ro \
-v /etc/timezone:/etc/timezone:ro \
rcland12/kubrick-cli
Quick Start
# Basic usage
kubrick
# Custom Triton server
kubrick --triton-url my-server:8000
# Load previous conversation
kubrick --load 20240118_143022
Requirements
- Python 3.8+
- Triton Inference Server with streaming LLM model
- Default endpoint:
http://localhost:8000 - Default model:
llm_decoupled
Documentation
- WIKI.md - Complete features, commands, and usage guide
- TRITON.md - Triton backend setup and requirements
- DOCKER.md - Docker setup and troubleshooting
Configuration
Config stored at ~/.kubrick/config.json. Override with environment variables:
export TRITON_URL=localhost:8000
export TRITON_MODEL_NAME=llm_decoupled
License
MIT License - See LICENSE
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