docs/CLIENT_GUIDE.md

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!

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

Or run in interactive mode:

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!