wingman-run 0.1.1

Real-time typo fixer that streams corrections from an LLM into your focused text area

wingman-run

Real-time typo fixer that streams corrections from an LLM into your focused text area.

Development Setup

Prerequisites

• Python 3.10+
• pip
• macOS (for now, uses macOS-specific accessibility APIs)

Install for Development

# Create and activate virtual environment
python3 -m venv venv
source venv/bin/activate  # On macOS/Linux

# Install package in editable mode with dependencies
pip install -e .

# Test the CLI
wingman-run

Deployment

Build Distribution Packages

# Install build tools
pip install build

# Build wheel and source distributions
python -m build

# This creates:
# - dist/wingman_run-0.1.0-py3-none-any.whl
# - dist/wingman_run-0.1.0.tar.gz

Test with TestPyPI (Recommended First Step)

# Install twine for uploading
pip install twine

# Upload to TestPyPI
twine upload --repository testpypi dist/*

# Test installation from TestPyPI
pip install --index-url https://test.pypi.org/simple/ wingman-run

Publish to PyPI

# Upload to PyPI (requires account and API token)
twine upload dist/*

# Users can then install with:
# pip install wingman-run

PyPI Account Setup

1. Create account at pypi.org
2. Generate API token in Account Settings
3. When uploading, use:
   • Username: __token__
   • Password: Your API token