Metadata-Version: 2.4
Name: abstractintelligence
Version: 0.1.0
Summary: A proactive Generative AI system built upon AbstractCore
Author-email: Laurent-Philippe albou <contact@example.com>
License: TBD
Project-URL: Homepage, https://github.com/lpalbou/AbstractIntelligence
Project-URL: Repository, https://github.com/lpalbou/AbstractIntelligence
Project-URL: Documentation, https://github.com/lpalbou/AbstractIntelligence/docs
Project-URL: Bug Tracker, https://github.com/lpalbou/AbstractIntelligence/issues
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
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: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Provides-Extra: dev
Requires-Dist: pytest>=6.0; extra == "dev"
Requires-Dist: pytest-cov>=2.0; extra == "dev"
Requires-Dist: black>=21.0; extra == "dev"
Requires-Dist: isort>=5.0; extra == "dev"
Requires-Dist: flake8>=3.8; extra == "dev"
Requires-Dist: mypy>=0.900; extra == "dev"

# AbstractIntelligence

AbstractIntelligence is a proactive Generative AI system built upon [AbstractCore](https://github.com/lpalbou/AbstractCore). This project aims to create an intelligent, autonomous AI agent capable of proactive reasoning, decision-making, and task execution.

## Overview

AbstractIntelligence leverages the foundational capabilities of AbstractCore to build a sophisticated AI system that can:
- Proactively analyze situations and contexts
- Make intelligent decisions based on available information
- Execute complex tasks autonomously
- Learn and adapt from interactions and outcomes

## Project Status

🚧 **This project is currently in the initial development phase** 🚧

This is a placeholder repository that will be developed into a full-featured proactive GenAI system.

## Architecture

The system is designed with modularity and extensibility in mind, following SOLID principles and emphasizing:
- Clear separation of concerns
- Robust general-purpose logic
- Comprehensive testing frameworks
- Scalable and maintainable codebase

## Installation

```bash
# Clone the repository
git clone https://github.com/lpalbou/AbstractIntelligence.git
cd AbstractIntelligence

# Install dependencies (when available)
pip install -e .
```

## Usage

```python
from abstractintelligence import AbstractIntelligenceCore

# Example usage (to be implemented)
ai = AbstractIntelligenceCore()
# ai.initialize()
# result = ai.process_task(task_description)
```

## Development Principles

This project follows strict development principles:
- **Intellectual Honesty**: All solutions are thoroughly reasoned and validated
- **Robust General-Purpose Logic**: Solutions work for all inputs, not just test cases
- **Modular Design**: Clean, focused files with single responsibilities
- **Comprehensive Testing**: Clear separation between tests and implementation code

## Contributing

Contributions are welcome! Please ensure all contributions follow the project's development principles and maintain the high standards of code quality.

## License

[License to be determined]

## Related Projects

- [AbstractCore](https://github.com/lpalbou/AbstractCore) - The foundational framework this project builds upon
- [AbstractCore.ai](http://www.abstractcore.ai/) - Official website

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*This project is in active development. Documentation and features will be expanded as development progresses.*
