llmtop 0.1.0

LLM-powered system monitoring with real-time performance insights

llmtop

llmtop is an intelligent system monitoring tool that combines real-time system metrics with LLM-powered insights. It provides a dynamic terminal interface showing system performance metrics enhanced with AI-driven analysis.

Note: This project is currently in beta testing. Features and interfaces may change.

Features

• Real-time system metrics monitoring (CPU, Memory, Disk, Network)
• Process monitoring with resource usage
• AI-powered system analysis using either OpenAI or Ollama
• Smart alerting system for resource thresholds
• Dynamic terminal UI with auto-updating metrics

Installation

Install directly from PyPI:

pip install llmtop

LLM Backend Options

llmtop supports two LLM backends for system analysis:

OpenAI (GPT-4)

1. Set your OpenAI API key:

   export OPENAI_API_KEY='your-api-key-here'
   

2. Run with OpenAI:

   llmtop --use-openai
   

Ollama (Default)

1. Install Ollama from ollama.ai
2. Start the Ollama service
3. Run llmtop:

   llmtop
   

Command Line Options

llmtop [OPTIONS]

Options:
  --update-frequency INTEGER  Update frequency in seconds (default: 5)
  --use-openai               Use OpenAI instead of local model
  --history-length INTEGER   Number of historical data points to keep (default: 60)
  --help                     Show this message and exit

Usage Tips

• The tool defaults to using Ollama for analysis, which is free but requires local installation
• OpenAI mode provides more detailed analysis but requires an API key and has associated costs
• Adjust update frequency based on your system's performance and monitoring needs

Known Issues

• Experimental support for Windows systems
• Update frequency might need adjustment on slower systems
• Some process names may be truncated in the display

Contributing

This project is in beta, and we welcome contributions! Please feel free to:

• Report bugs
• Suggest features
• Submit pull requests

License

MIT License - see LICENSE file for details.

Acknowledgments

Built using:

• Rich for terminal UI
• OpenAI/Ollama for LLM integration
• psutil for system metrics