semvec/pypi-packages huggingface dataset:
opencua 0.0.1
OpenCUA package
License: MIT
Requires Python: >=3.7

# OpenCUA

OpenCUA - A package available for both JavaScript and Python.

## Installation

### JavaScript/Node.js
```bash
npm install opencua
```

### Python
```bash
pip install opencua
```

## Usage

### JavaScript
```javascript
const opencua = require('opencua');
```

### Python
```python
import opencua
```

## License

MIT
agenthub-py 0.1.1
A framework for building and running AI agents
License: MIT
Requires Python: >=3.8
Keywords: ai, agents, framework

# AgentHub Python SDK

A lightweight Python framework for building and running AI agents in simulation environments.

## Installation

```bash
pip install agenthub-py
```

## Quick Start

```python
from agenthub import AgentRunner
from typing import Any, Dict, List

class MyAgent(AgentRunner):
    def run(self, input_data: Dict[str, Any] | List[Dict[str, Any]]) -> Dict[str, Any]:
        # Preprocess your input_data here and generate the agent response
        response = self.generate_agent_result(input_data)
        # Return the result in the desired format
        result = {"status": "success", "data": response}
        return result

# Create and use your agent
agent = MyAgent()
response = agent.run({"message": "Hello, Agent!"})
print(response)
```

## Requirements

- Python 3.8 or higher

## License

MIT

## Links

- [Homepage](https://www.agenthublabs.com/)
- [Documentation](https://www.agenthublabs.com/docs)