kubrick-cli 0.1.5

A CLI tool for AI-assisted coding using Triton LLM backend

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

Understanding Docker File Permissions

CRITICAL: When using Docker, Kubrick creates files in your project. Without proper configuration, these files will be owned by root, causing permission issues.

The Solution:

• Option 1 (Recommended): Use the kubrick-docker wrapper - handles permissions automatically
• Option 2: Use Docker Compose with exported UID/GID environment variables
• Option 3: Include --user $(id -u):$(id -g) in every Docker command

Quick Install (Recommended)

Install the kubrick-docker wrapper for easy usage:

# Install from GitHub (installs to ~/.local/bin/kubrick-docker)
curl -fsSL https://raw.githubusercontent.com/rcland12/kubrick-cli/master/scripts/install-kubrick-docker.sh | sh

# Add to PATH if needed (add to ~/.bashrc or ~/.zshrc)
export PATH="$HOME/.local/bin:$PATH"

# Run from any project directory
cd /path/to/your/project
kubrick-docker

Benefits:

• ✅ Automatically handles UID/GID (no configuration needed)
• ✅ Smart image fallback (Docker Hub → GHCR → Local build)
• ✅ Simple command from any directory
• ✅ Files always owned by you, never root

Uninstall:

curl -fsSL https://raw.githubusercontent.com/rcland12/kubrick-cli/master/scripts/uninstall-kubrick-docker.sh | sh

Docker Compose

Use Docker Compose for a convenient alias-style workflow.

Setup (Required): Export UID/GID in your shell config (~/.bashrc or ~/.zshrc):

export UID=$(id -u)
export GID=$(id -g)

Usage:

cd /path/to/your/project
docker compose -f /path/to/kubrick-cli/docker-compose.yaml run --rm kubrick

Manual Docker Commands

IMPORTANT: Always include --user $(id -u):$(id -g) to avoid file permission issues!

cd /path/to/your/project

# From Docker Hub
docker run --rm -it \
  --network host \
  --user $(id -u):$(id -g) \
  -v ${HOME}:/home/kubrick \
  -v ${PWD}:/workspace \
  -v /etc/localtime:/etc/localtime:ro \
  -v /etc/timezone:/etc/timezone:ro \
  rcland12/kubrick-cli

# From GitHub Container Registry
docker run --rm -it \
  --network host \
  --user $(id -u):$(id -g) \
  -v ${HOME}:/home/kubrick \
  -v ${PWD}:/workspace \
  -v /etc/localtime:/etc/localtime:ro \
  -v /etc/timezone:/etc/timezone:ro \
  ghcr.io/rcland12/kubrick-cli

Why --user is required:

• Without it, Docker runs as root and creates root-owned files
• With it, files are owned by you and compatible with pip installation
• The container uses chmod 1777 on directories (same as VS Code Dev Containers)

See DOCKER.md for detailed Docker usage, UID/GID configuration, and troubleshooting.

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+
• LLM Provider (choose one):
  • Triton Inference Server with streaming LLM model (default: http://localhost:8000)
  • OpenAI API (GPT-4, GPT-3.5-turbo, etc.)
  • Anthropic API (Claude models)

Documentation

• WIKI.md - Complete features, commands, and usage guide
• PROVIDERS.md - Multi-provider setup (Triton, OpenAI, Anthropic)
• TRITON.md - Triton backend setup and requirements
• TESTING.md - Testing guide and CI/CD setup
• 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

Development

Install Development Dependencies

pip install -e ".[dev]"

Run Tests

# Run all tests
pytest

# Run with coverage
pytest --cov=kubrick_cli --cov-report=term-missing

# Run specific test file
pytest tests/test_tool_executor.py -v

See TESTING.md for detailed testing documentation.

Code Quality

# Format code
black kubrick_cli tests

# Check linting
flake8 kubrick_cli

License

MIT License - See LICENSE