Metadata-Version: 2.4
Name: llamaplastics-llamasearch
Version: 0.1.0
Summary: LlamaPlastics - A LlamaBench project
Author: LlamaSearch AI
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: author
Dynamic: description
Dynamic: description-content-type
Dynamic: license-file
Dynamic: requires-python
Dynamic: summary

# Project LlamaPlastics: LLM-Powered Materials Discovery Platform

## Overview

(TODO: Add project overview)

## Architecture

(TODO: Add architecture diagram/description)

## Setup

(TODO: Add setup instructions)

## Usage

### Running the Agent

\`\`\`bash
# Run the autonomous discovery agent
python main_agent.py --config config.yaml --output-dir agent_results --num-iterations 20

# Run the active learning loop
python main_active_learning.py --config config.yaml --output-dir results

# Run multi-objective optimization
python main_optimize.py --config config.yaml --output-dir optimization_results
\`\`\`

### Using the MLX Deployment

(TODO: Add MLX usage example)

## Repository Structure

\`\`\`
llamaplastics_project/
│
├── README.md
├── requirements.txt
├── config.yaml
│
├── data/
├── llm_interface/
├── composition_encoding/
├── property_predictor/
├── active_learning/
├── robotics_interface/
├── simulation_interface/
├── optimization/
├── mlx_deployment/
├── training/
├── evaluation/
├── agent/
│
├── main_active_learning.py
├── main_optimize.py
├── main_agent.py
│
└── notebooks/
\`\`\`

## Contributing

(TODO: Add contribution guidelines)

## License

(TODO: Add license information) 
