nterm 0.1.7

A reasoning agent with system administration and IoT capabilities

NTerm: AI Terminal Reasoning Agent for System Administration and IoT Management

NTerm is an intelligent command-line interface (CLI) tool that combines artificial intelligence reasoning capabilities with system administration and Internet of Things (IoT) device management. This Python-based terminal application leverages advanced AI models to understand natural language queries about system environments and provides comprehensive answers using built-in shell tools and reasoning algorithms.

What is NTerm? Key Features and Capabilities

🧠 AI-Powered System Analysis and Reasoning

• Advanced artificial intelligence integration using OpenAI GPT models
• Natural language processing for system queries and commands
• Intelligent analysis of system performance, processes, and configurations
• Context-aware responses based on your specific system environment

🖥️ Comprehensive System Administration Tools

• Built-in shell command execution and system interaction
• Real-time system monitoring and performance analysis
• Process management and resource utilization tracking
• Network connectivity analysis and troubleshooting
• File system operations and disk usage monitoring

🔌 IoT Device Management and Monitoring

• IoT device discovery and network scanning capabilities
• Device status monitoring and health checks
• IoT sensor data analysis and interpretation
• Smart home and industrial IoT integration support

💾 Persistent Session Management

• SQLite-based conversation history and session storage
• Contextual memory across multiple interactions
• Session replay and historical query analysis
• Customizable data retention policies

🔄 Interactive Command-Line Interface

• User-friendly terminal-based interaction
• Single-query execution mode for automation
• Batch processing capabilities
• Customizable output formatting

📚 Python API and Library Integration

• Programmable interface for custom applications
• Extensible tool architecture for custom functionality
• Integration with existing Python workflows and scripts

Installation Guide

Prerequisites

• Python 3.8 or higher
• OpenAI API key (required for AI functionality)
• Operating System: Windows, macOS, or Linux

Quick Installation

pip install nterm

Verify Installation

nterm --version

Getting Started: Usage Examples and Tutorials

Basic Command-Line Usage

Start Interactive Session:

nterm

Execute Single Query:

nterm --query "What operating system am I running and what are the current system specifications?"

Use Specific AI Model:

nterm --model gpt-4.1 --query "Analyze current CPU usage and suggest optimization strategies"

Python API Integration Examples

Basic Usage:

from nterm import ReasoningAgent

# Initialize the AI reasoning agent
agent = ReasoningAgent()

# Query system information
response = agent.query("What's the current memory usage and which processes are using the most RAM?")
print(response)

# Start interactive command-line mode
agent.run_cli()

Advanced Configuration:

from nterm import create_nterm
from my_custom_tools import CustomSystemTool

# Create agent with custom settings
agent = create_nterm(
    model_id="gpt-4.1",
    db_file="./system_sessions.db",
    num_history_runs=10
)

# Add custom tools and extensions
agent.add_tool(CustomSystemTool())

# Retrieve conversation history
session_history = agent.get_session_history()

# Clear stored history
agent.clear_history()

Configuration Options and Customization

Environment Variables

export OPENAI_API_KEY="your-api-key-here"
export NTERM_DB_FILE="./custom_sessions.db"

Configuration Parameters

• model_id: OpenAI model selection (default: "gpt-4.1")
• db_file: SQLite database path for session persistence
• table_name: Custom database table name
• num_history_runs: Conversation history retention limit
• custom_tools: Additional tool integrations

Command-Line Arguments and Options

nterm [OPTIONS] [--query "YOUR_QUERY"]

Options:
  -h, --help                    Display help information and usage examples
  --model MODEL                 Specify OpenAI model (gpt-4o, gpt-4.1, gpt-4o-mini)
  --db-file DB_FILE            Custom SQLite database file location
  --table-name TABLE_NAME      Database table name for session storage
  --history-runs HISTORY_RUNS  Number of previous conversations to remember
  --query QUERY                Execute single query in non-interactive mode
  --clear-history              Reset conversation history before starting
  --version                    Show version and build information

Real-World Use Cases and Examples

System Administration and Monitoring

# Comprehensive system health check
nterm --query "Perform a complete system health analysis including CPU, memory, disk space, and running services"

# Network troubleshooting
nterm --query "Diagnose network connectivity issues and show active network connections"

# Security analysis
nterm --query "Check for unusual processes and potential security concerns on this system"

IoT Device Management

# Device discovery
nterm --query "Scan local network for IoT devices and smart home equipment"

# IoT monitoring
nterm --query "Monitor IoT sensor data and identify any devices with connectivity issues"

Performance Optimization

# Resource analysis
nterm --query "Identify processes consuming excessive resources and recommend optimization strategies"

# Disk cleanup recommendations
nterm --query "Analyze disk usage patterns and suggest cleanup strategies"

Technical Requirements and Dependencies

System Requirements

• Operating System: Windows 10+, macOS 10.14+, Linux (Ubuntu 18.04+, CentOS 7+)
• Python Version: 3.8, 3.9, 3.10, 3.11, 3.12
• Memory: Minimum 512MB RAM, Recommended 2GB+
• Storage: 100MB free disk space

Required Dependencies

• OpenAI API access and valid API key
• agno framework for AI agent functionality
• SQLite3 for session data persistence
• Standard Python libraries (os, sys, subprocess, sqlite3)

Optional Dependencies

• Custom tool integrations
• Additional AI model providers
• Extended IoT protocol support

Development and Contribution Guide

Development Setup

# Clone repository
git clone https://github.com/Neural-Nirvana/nterm.git
cd nterm

# Install in development mode
pip install -e .

# Install development dependencies
pip install -r requirements-dev.txt

# Run test suite
python -m pytest tests/ -v

Contributing Guidelines

We welcome contributions! Please follow these guidelines:

• Fork the repository and create feature branches
• Write comprehensive tests for new functionality
• Follow PEP 8 Python coding standards
• Update documentation for new features
• Submit pull requests with detailed descriptions

Testing and Quality Assurance

# Run all tests
python -m pytest

# Run with coverage report
python -m pytest --cov=nterm

# Code quality checks
flake8 nterm/
black nterm/

Troubleshooting and Support

Common Issues and Solutions

OpenAI API Key Issues:

• Ensure OPENAI_API_KEY environment variable is set
• Verify API key validity and account credits
• Check network connectivity for API access

Installation Problems:

• Update pip: pip install --upgrade pip
• Use virtual environment to avoid conflicts
• Check Python version compatibility

Performance Issues:

• Adjust num_history_runs to reduce memory usage
• Use lighter AI models for faster responses
• Clear session history periodically

Getting Help

• Documentation: Comprehensive guides and API reference
• GitHub Issues: Bug reports and feature requests
• Community Support: Discussion forums and user community
• Professional Support: Enterprise support options available

License and Legal Information

This project is licensed under the MIT License. See the LICENSE file for complete terms and conditions.

Version History and Changelog

• v1.0.0: Initial release with core AI reasoning capabilities
• v1.1.0: Added IoT device management features
• v1.2.0: Enhanced system administration tools
• Latest: Improved performance and stability

Related Tools and Integrations

• System Monitoring: Integration with popular monitoring tools
• DevOps Workflows: CI/CD pipeline integration
• IoT Platforms: Compatible with major IoT management systems
• AI Frameworks: Extensible AI model support

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NTerm - Intelligent Terminal Assistant for System Administration and IoT Management. Powered by AI, designed for professionals.