semvec/pypi-packages huggingface dataset:
kdai-node-client 0.2.3
Client library for connecting nodes to the KDAI distributed AI platform
License: MIT
Requires Python: >=3.8

# KDAI Node Client

The official client library for connecting nodes to the KDAI distributed AI platform.

## Features

- Simple node registration and authentication
- Secure WebSocket-based communication with KDAI hub
- Task management for AI workloads
- Resource utilization monitoring
- Simple CLI interface
- Robust HTTP/HTTPS handling with improved connectivity

## Installation

```bash
pip install kdai-node-client
```

## Quick Start

### Register a New Node

To register a new node with your KDAI server:

```bash
# Register a new node
kdai-node register --server-url https://your-kdai-server.com --name "My AI Node"
```

This will generate an authentication token for your node and save the configuration.

### Start the Node

Once registered, you can start the node:

```bash
# Start the node
kdai-node start
```

The node will connect to the KDAI server, report its system information, and start accepting tasks.

## Advanced Usage

### Monitor Node Status

Check the status of your node:

```bash
kdai-node status
```

### Stop Node

Stop a running node:

```bash
kdai-node stop
```

### Programmatic Usage

You can also use the KDAI Node Client as a library in your Python code:

```python
from kdai_node_client import KDAINode

# Create a node instance
node = KDAINode(server_url="https://your-kdai-server.com", node_name="My AI Node")

# Register the node
node.register()

# Start the node
node.start()

# To stop the node
node.stop()
```

## API Reference

Full API documentation is available at https://docs.kdai.io/node-client/

## Requirements

- Python 3.8 or higher
- Working network connection to KDAI server
- WebSocket support

## Recent Changes

### Version 0.1.1 (2025-03-27)
- Fixed HTTP to HTTPS redirect handling to improve connection reliability
- Added proper error handling for network connectivity issues
- See [CHANGELOG.md](CHANGELOG.md) for the full history of changes

## License

MIT License
noumandaavigi 0.7
A brief description of what your package does
License: MIT
Requires Python: >=3.6

# AI-Command

AI-Command: Execute command line tasks intelligently using OpenAI-powered natural language prompts.

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

## Table of Contents

- [Overview](#overview)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)

## Overview

AI-Command (ai-cmd) is a versatile command line tool that uses OpenAI to intelligently generate and execute commands based on user prompts. With AI-Command, you can harness the power of OpenAI's language model to assist you in performing various tasks, such as file management, data manipulation, and more, all through a single command.

## Installation

1. Clone the GitHub repository:

```markdown
git clone https://github.com/krystian-ai/ai-cmd.git
```

2. Change to the `ai-cmd` directory:

```go
cd ai-cmd
```


3. Install the package:

```bash
pip install .
```

## Usage

To use AI-Command, simply type `AI` followed by your prompt in the terminal or command prompt:

```mathematica
AI [prompt]
```


For example:

```bash
AI create a new folder called "my_project"
```


AI-Command will process your prompt, generate the appropriate command, and execute it for you.

## Contributing

Contributions are welcome! Please feel free to submit issues or pull requests to help improve AI-Command.

## License

AI-Command is released under the [MIT License](https://opensource.org/licenses/MIT). See
pytoos 0.2.1
PyToOs - библиотека которая позволяет управлять .py файлами. Позволяет создавать, редактировать, удалять .py файлы.
License: MIT
Requires Python: >=3.6

PyToOs - библиотека, которая позволяет работать с .py файлами
Скрипт, который выводит справку:

from pytoos import create_help_script
create_help_script()  # Создаст pytoos_help.py