semvec/pypi-packages huggingface dataset:
hello-agent 0.1.1
Hello World Agent - ReACT Methodology Demonstration System
Requires Python: >=3.8

# Hello World Agent

A simple demonstration agent using the ReACT methodology for analyzing and executing tasks.

## Quick Install

```bash
pip install hello_agent
```

## Prerequisites

- Python 3.8 or higher
- OpenRouter API key (for LLM access)

## Installation

1. Install the package:
   ```bash
   pip install hello_agent
   ```

2. Add your OpenRouter API key to the `.env` file:
   ```bash
   OPENROUTER_API_KEY=your_api_key_here
   ```

## Usage

The agent can be run in two ways:

1. Using the command-line tool:
   ```bash
   agent --prompt "What is quantum computing?" --task research
   ```

2. Using Python code:
   ```python
   from agent.crew import HelloWorldCrew
   
   crew = HelloWorldCrew()
   result = crew.run(prompt="What is quantum computing?", task_type="research")
   ```

### Command Line Arguments

- `--prompt`: Specify the input prompt (default: "Tell me about yourself")
- `--task`: Specify the task type: research, execute, analyze, or both (default: both)
- `--hitl`: Enable human-in-the-loop mode (optional)

Example:
```bash
agent --prompt "What is quantum computing?" --task research --hitl
```

## Features

- ReACT Methodology Implementation
- Research Analysis
- Task Execution
- Performance Analysis
- Progress Tracking
- Streaming Responses
- Optional Human-in-the-Loop Mode

## Documentation

For detailed documentation and user guides, refer to:

- [User Guide](agent/docs/readme.md)
- [Templates Guide](agent/docs/templates.md)
- [Tools Guide](agent/docs/tools.md)
- [Configuration Guide](agent/docs/configuration.md)
- [Advanced Implementations Guide](agent/docs/advanced_implementations.md)
- [Memory and Storage Guide](agent/docs/memory_and_storage.md)
- [Human-in-the-Loop Guide](agent/docs/human_in_the_loop.md)

## Examples

Explore the [Examples](agent/examples/README.md) directory for sample usage scenarios and human-in-the-loop implementations.

## Project Structure

```
hello_world/
├── config/              # Configuration files
│   ├── agents.yaml     # Agent definitions
│   ├── tasks.yaml      # Task definitions
│   └── analysis.yaml   # Analysis rules
├── tools/              # Custom tools
├── docs/               # Documentation
└── examples/           # Example implementations
```

## Contributing

1. Fork the repository
2. Create your feature branch (`git checkout -b feature/amazing-feature`)
3. Commit your changes (`git commit -m 'Add amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. Open a Pull Request

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Acknowledgments

- Built with [CrewAI](https://github.com/joaomdmoura/crewAI)
- Powered by [OpenRouter](https://openrouter.ai/)
nemesiscolours 0.1.1
A module for gradient text effects in the terminal.
Requires Python: >=3.6


    NemesisColours - Gradient Text Module
    This was made specifically for Nemesis
    This was inspired by venaxyt

-- Features:
-- - Apply horizontal or vertical gradient effects to text
-- - Predefined color functions for quick styling
-- - Works in most modern terminal emulators
better-takproto 0.1.0
Add your description here
Requires Python: >=3.8

## better-takproto

[Betterproto](https://pypi.org/project/betterproto/) creates pythonic protobuf bindings.
Utalizing the protobuf definitions from [takproto](https://github.com/snstac/takproto/tree/main)
Read the Betterproto documentation for all the advantages over the Google implimentation.

## rebuilding protobug python binding

Install dependencies
```
pip install betterproto[compiler]
```

Rebuild python bindings
```
python -m grpc_tools.protoc -I . --python_betterproto_out=./src/takproto ./proto/tak.proto
```

Recompile generates am empty __init__.py
Add the following for usage convenience.
```
__version__ = "<version>"
from takproto.takproto import *
``
mylibraryoctopodium123 0.2
A simple Python library

# MyLibrary

A simple Python library for greeting and basic calculations.

## Installation

```bash
pip install .

How to build a distributed package:

To create a distributable package, you need to build it. Run the following commands:

```bash
pip install setuptools wheel  # Install required tools
python setup.py sdist bdist_wheel  # Build the package


## To install it locally:

```bash
pip install .

then try to: 

```bash
pip list

this will output all installed packages.

Installed lib should be there.
mylibrary-octopodium 0.1
A simple Python library

# MyLibrary

A simple Python library for greeting and basic calculations.

## Installation

```bash
pip install .

How to build a distributed package:

To create a distributable package, you need to build it. Run the following commands:

```bash
pip install setuptools wheel  # Install required tools
python setup.py sdist bdist_wheel  # Build the package


## To install it locally:

```bash
pip install .

then try to: 

```bash
pip list

this will output all installed packages.

Installed lib should be there.
tfq-tool 2.0.0
is a command-line utility for extracting text from various file formats, including text files, PDFs, Word documents, spreadsheets, and code files in popular programming languages.
Requires Python: >=3.8

# TFQ_tool  
**is a command-line utility for extracting text from various file formats, including text files, PDFs, Word documents, spreadsheets, and code files in popular programming languages.**  
[![Python Version](https://img.shields.io/badge/Python-3.8%2B-blue)](https://www.python.org/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![PyPI Version](https://img.shields.io/pypi/v/tfq-tool)](https://pypi.org/project/tfq-tool/)

![](https://via.placeholder.com/800x200.png?text=TFQ_tool+Demo) <!-- Add real screenshot later -->

## Features ✨
- 📂 **Multi-format support**: PDF, Word, Excel, TXT, and 8+ code formats
- ⚡ **Parallel processing**: Multi-threaded extraction for bulk operations
- 🛡️ **Robust error handling**: Clear error messages and file validation
- 📦 **Auto-output naming**: Generates organized output files/directories

## Installation 💻

### From PyPI (Recommended)




1. Download from pip

   ```bash
   pip install tfq-tool



2. Used by repository
   ```bash
      git clone https://github.com/your-username/TFQ_tool.git
      cd TFQ_tool
      pip install -r requirements.txt
      python tfq_tool.py



3. Usage 🛠️

    ```bash

         "Basic Command"
          tfq_tool [FILES] [OPTIONS] 

         "Single file extraction" 
         tfq_tool document.pdf --output results.txt 

         "Batch processing with 4 threads"
         tfq_tool *.pdf *.docx --threads 4 --output ./extracted_texts


         "Force overwrite existing files"  
         tfq_tool data.xlsx --output output.txt --force



## Options⚙️


- **Flag	Description**
- -o, --output	Output path (file or directory)
- -t, --threads	Thread count (default: 1)
- -v, --verbose	Show detailed processing logs
- -f, --force  	Overwrite files without confirmation
mylibrary-ocopodium 0.1
A simple Python library

# MyLibrary

A simple Python library for greeting and basic calculations.

## Installation

```bash
pip install .

How to build a distributed package:

To create a distributable package, you need to build it. Run the following commands:

```bash
pip install setuptools wheel  # Install required tools
python setup.py sdist bdist_wheel  # Build the package


## To install it locally:

```bash
pip install .

then try to: 

```bash
pip list

this will output all installed packages.

Installed lib should be there.