vaahai 0.2.1

AI-augmented code review CLI tool

Vaahai

Agentic Coding, Review, Audit and Generation

Overview

Vaahai is an AI-augmented code review CLI tool that combines static analysis with LLM capabilities to provide comprehensive code reviews, suggestions, and automated fixes.

Installation

# Install from PyPI
pip install vaahai

# Verify installation
vaahai --version

Quick Start

# Set up your configuration
vaahai config init

# Review a single file
vaahai review main path/to/file.py

# Review a directory recursively
vaahai review main src/

# Review with specific include/exclude patterns
vaahai review main src/ --include="*.py" --exclude="*_test.py"

# Review with specific focus and depth
vaahai review main important_module.py --depth thorough --focus security

Features

• Code Scanning: Scan directories with customizable filters for file extensions, patterns, and content
• Static Analysis: Integrate with static analysis tools for code quality checks
• LLM Integration: Leverage LLMs for contextual code review and suggestions
• Interactive Fixes: Apply suggested fixes interactively
• Multiple Output Formats: Generate reports in terminal, markdown, or HTML formats

Implementation Status

Component	Status	Description
Configuration System	✅ Complete	Modular configuration with environment variables, validation, and migration
Code Scanner	✅ Complete	File scanning with filtering by extension, pattern, size, and content
CLI Application	🔄 In Progress	Command structure with review command implemented
Static Analysis	⏳ Planned	Integration with static analysis tools
LLM Integration	⏳ Planned	Support for multiple LLM providers
Interactive Fixes	⏳ Planned	Interactive application of suggested fixes

For detailed implementation status, see the Implementation Status documentation. For the complete development roadmap, see the Implementation Roadmap.

Available Commands

review

Review code files with customizable filters and analysis.

vaahai review main [PATH] [OPTIONS]

Arguments:

• PATH: Path to file or directory to review (required)

Options:

• --depth {quick,standard,thorough}: Review depth (default: standard)
• --focus {all,security,performance,style}: Focus area (default: all)
• --output {terminal,markdown,html}: Output format (default: terminal)
• --output-file FILE: Save output to a file
• --include PATTERN: Patterns to include (can be used multiple times)
• --exclude PATTERN: Patterns to exclude (can be used multiple times)
• --max-file-size SIZE: Maximum file size in bytes (default: 1MB)
• --interactive: Enable interactive fix application
• --save-history: Save review results to history
• --private: Use only local resources

config

Manage Vaahai configuration.

vaahai config [ACTION] [OPTIONS]

Actions:

• init: Initialize configuration
• get KEY: Get a configuration value
• set KEY VALUE: Set a configuration value
• list: List all configuration values
• reset: Reset configuration to defaults
• locations: Show configuration file locations

Options:

• --global: Apply to global configuration
• --local: Apply to local configuration
• --env: Show environment variable override

analyze

Run static analysis on code files.

vaahai analyze [PATH] [OPTIONS]

Arguments:

• PATH: Path to file or directory to analyze

Options:

• --analyzer {pylint,eslint,all}: Analyzer to use
• --format {text,json,html}: Output format
• --output-file FILE: Save output to a file

Documentation

Comprehensive documentation is available in the /docs directory:

• Installation Guide
• Getting Started
• Usage Guide
• Commands Reference
• Configuration Guide
• Code Scanner

To view the documentation in your browser:

# Install Docsify (if not already installed)
npm install -g docsify-cli

# Start the documentation server
docsify serve docs

# Access at http://localhost:3000

Contributing

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

License

This project is licensed under the MIT License - see the LICENSE file for details.