groq-terminal-ai 1.1.0

groq-terminal-ai is a command line tool that uses AI to generate terminal commands

groq-terminal-ai

https://github.com/user-attachments/assets/a6cb57a5-a597-438c-b976-4a6fd48960af

groq-terminal-ai is a cross-platform CLI tool that utilizes Groq's API to intelligently generate terminal commands from natural language instructions. It supports Linux, macOS, and Windows.

Key Features

• AI-Powered Command Generation: Leverages Groq's advanced language models to interpret user instructions and generate accurate terminal commands.
• Cross-Platform Compatibility: Seamlessly operates on Linux, macOS, and Windows operating systems.
• Customizable Model Selection: Offers flexibility to choose from different LLM models for tailored command generation.
• Command History: Maintains a history of previous instructions and commands for context-aware suggestions.
• Efficient Caching: Implements a command cache to quickly retrieve previously generated commands.

Installation

Install groq-terminal-ai using pip:

pip install groq-terminal-ai

Usage

Step 1. Set your Groq API key

ai --groq-api-key <your-api-key>

Step 2. Generate a command

ai list all png files in the current directory

Optional Parameters

• Choose a specific LLM model:

  ai --model <model-name> (default llama-3.1-8b-instant)
  

• Set the history size for context-aware suggestions:

  ai --history-size <number> (default 3)
  

• Enable or disable instruction history:

  ai --use-history <true/false> (default true)
  

• For more information on available options:

  ai --help
  

Supported Models

Current Production Models

• llama-3.3-70b-versatile - Latest Llama 3.3 model with excellent reasoning capabilities
• llama-3.1-8b-instant - Fast and efficient model, great for quick command generation
• gemma2-9b-it - Google's Gemma 2 model optimized for instruction following

Latest Advanced Models

• meta-llama/llama-4-scout-17b-16e-instruct - Llama 4 Scout for complex reasoning tasks
• meta-llama/llama-4-maverick-17b-128e-instruct - Llama 4 Maverick for multilingual tasks
• deepseek-r1-distill-llama-70b - Advanced reasoning model for complex problem-solving
• deepseek-r1-distill-qwen-32b - Efficient reasoning model with strong coding capabilities
• qwen-2.5-32b - Qwen 2.5 with improved coding and instruction following
• qwen-qwq-32b - Latest Qwen reasoning model
• mistral-saba-24b - Updated Mistral model

Legacy Models (Being Deprecated)

• llama3-70b-8192 - Will be deprecated on August 30, 2025 (use llama-3.3-70b-versatile instead)
• llama3-8b-8192 - Will be deprecated on August 30, 2025 (use llama-3.1-8b-instant instead)