coaxial-terminal-ai 0.3.4

TerminalAI: Command-line AI assistant

Terminal AI

Bring the power of AI directly to your command line!

TerminalAI is your intelligent command-line assistant. Ask questions in natural language, get shell command suggestions, and execute them safely and interactively. It streamlines your workflow by translating your requests into actionable commands.

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Key Features

• Natural Language Interaction: Ask questions or request actions naturally.
• Intelligent Command Suggestion: Get relevant shell commands based on your query.
• File Reading & Explanation:
  • Use --read-file <filepath> along with your query to have the AI consider a file's content (any plain text file).
  • Use --explain <filepath> for a direct summary and contextual explanation of a file (predefined query, ignores general query).
  • Supports any plain text file; the AI attempts to interpret the content.
• Multiple AI Backends: Supports OpenRouter, Gemini, Mistral, and local Ollama models.
• Interactive Execution: Review and confirm commands before they run.
• Context-Aware: Includes OS and current directory information in prompts to the AI.
• Safe Command Handling:
  • Non-stateful commands run directly after confirmation.
  • Risky commands require explicit confirmation.
  • Stateful commands (cd, export, etc.) are handled safely (see below).
• Multiple Modes:
  • Direct Query (ai "..."): Get a single response and command suggestions.
  • Single Interaction (ai): Ask one question, get a response, and return to the shell.
  • Chat Mode (ai --chat or ai -c): Persistent conversation with the AI.
• Easy Configuration: ai setup provides a menu for API keys and settings.
• Optional Shell Integration: For seamless execution of stateful commands in direct query mode.
• Syntax Highlighting: Uses rich for formatted output.
• Ollama Model Selection:
  • When configuring Ollama, you now select a model by number or 'c' to cancel. Invalid input is rejected for safety.

Installation

Option 1: Install from PyPI (Recommended)

pip install coaxial-terminal-ai

Option 2: Install from Source

git clone https://github.com/coaxialdolor/terminalai.git
cd terminalai
pip install -e .

This automatically adds the ai command to your PATH.

Quick Setup

1. Install: Use one of the methods above.
2. Configure API Keys: Run ai setup and select option 5 to add API keys for your chosen provider(s) (e.g., Mistral, Ollama, OpenRouter, Gemini).
3. Set Default Provider: In ai setup, select option 1 to choose which provider ai uses by default.
4. (Optional) Install Shell Integration: See "Handling Stateful Commands" below if you want direct execution for commands like cd when using ai "...".
5. Start Using: You're ready!

See the Quick Setup Guide for more detailed instructions.

Usage Examples

1. Single Interaction Mode (ai): Ask one question, get an answer/commands, then return to shell. Flags like -v or -l can be used here.

# Basic usage
ai
AI:(mistral)> how do I list files by size?

# Request a long response
ai -l
AI:(mistral)> explain the history of Unix shells in detail

2. Direct Query Mode (ai "..."): Provide the query directly. This is where most flags are useful.

# Simple query
ai "find all python files modified in the last day"

# Auto-confirm non-risky command execution
ai -y "show current disk usage"
# (Example: If AI suggests 'df -h', it will run without a [Y/n] prompt)

# Request verbose output
ai -v "explain the concept of inodes"

# Request long output
ai -l "explain the difference between TCP and UDP"

# Combine flags: Auto-confirm and Verbose
ai -y -v "create a new directory called 'test_project' and list its contents"
# (Example: If AI suggests 'mkdir test_project && ls test_project', it will run without a prompt)

# Read and explain a file
ai --read-file ./my_script.py "Summarize this Python script and what it does"

# Get an automatic explanation of a file
ai --explain ./config/app_settings.yaml

# Ollama model selection (example):
# ai --set-ollama
# (Choose a model number, or 'c' to cancel)

3. Chat Mode (ai --chat or ai -c): Have a persistent conversation.