# Vytre Core - Client Delivery Guide

Welcome to your Vytre Core package! This guide explains everything included and how to get started.

## 📦 What's In This Package

```
delivery/
├── README.md               # Hugging Face model card
├── docs/
│   └── CLIENT_GUIDE.md     # This file
├── examples/
│   └── examples.json       # Example inputs and outputs
└── scripts/
    └── inference.py        # Easy-to-use inference script
```

## 🚀 Quick Start

### 1. Try the Mock Inference (No GPU Required!)
First, test the mock inference script to see how Vytre Core works!

```bash
cd delivery/scripts
python inference.py "Create a marketing department"
```

Or run in interactive mode:
```bash
python inference.py
```

### 2. Explore the Examples
Check `examples/examples.json` to see all the types of requests Vytre Core can handle!

## 📋 Next Steps for Production

### A. Upload to Hugging Face
1. Create a Hugging Face account and new model repo
2. Upload the contents of the `delivery/` folder (including the `README.md` model card)
3. After fine-tuning the model, upload the model weights to the same repo

### B. Fine-Tune the Model
When you're ready to train the full model:
1. Use the synthetic data generator in the main project to create a larger dataset
2. Run the training script on a GPU
3. Upload the trained LoRA adapter or full model weights to Hugging Face

### C. Integrate into VytreAWOS
Use the Vytre Core runtime module from the main project to integrate into your workforce operating system!

## 💡 Key Features of Vytre Core

1. **Organization Creation** - Build departments and teams
2. **Agent Creation** - Define AI agents with skills and permissions
3. **Workflow Generation** - Design and automate enterprise workflows
4. **Task Decomposition** - Break down complex tasks into manageable pieces
5. **Governance** - Enforce approval and compliance rules
6. **Tool Routing** - Route requests to appropriate enterprise tools

## 🆘 Need Help?

For support and integration questions, contact your Vytre account team!