Metadata-Version: 2.4
Name: aiprepkit
Version: 0.1.2
Summary: Prep kit for AI lab embedded runtime dependencies
License-Expression: MIT
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: Microsoft :: Windows :: Windows 7
Classifier: Operating System :: Microsoft :: Windows :: Windows 8
Classifier: Operating System :: Microsoft :: Windows :: Windows 8.1
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: Operating System :: Microsoft :: Windows :: Windows 11
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: <3.14,>=3.7
Description-Content-Type: text/markdown

# AI PrepKit

> Prepare data for AI models.

AI PrepKit provides reusable utilities for preparing application data before inference. It helps normalize text, organize context, validate inputs, and build clean prompts for language models.

The package is provider-independent and designed to fit naturally into AI pipelines.

---

## Features

- Prompt preparation
- Input normalization
- Context assembly
- Document preprocessing
- Token estimation
- Data validation
- Metadata enrichment

---

## Installation

```bash
pip install ai-prepkit
```

---

## Requirements

- Python 3.7+ (3.7-3.8 on Windows 7/8; 3.7-3.13 on Windows 10/11)
- Windows 7 / 8 / 8.1 / 10 / 11

---

## Quick Start

```python
from ai_prepkit import PrepKit

prep = PrepKit()
```

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## Use Cases

- RAG pipelines
- AI chat systems
- Document processing
- Prompt engineering
- Knowledge assistants

---

## Design Goals

- Lightweight
- Reusable
- Model-independent
- Easy integration

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## Roadmap

- Advanced chunking
- Prompt templates
- Context optimizers
- Document transformers

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## Contributing

Contributions are welcome.

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## License

MIT
