vit-ai

VIT Network AI/ML models — 13-model ensemble powering the Intelligence Oracle

Overview

This service provides the AI/ML intelligence layer for the VIT Network. It is built using FastAPI and containerized with Docker.

Production Readiness

The repository has been productionized following the VIT-AI Production Readiness task (TRACK-015B).

Features

• FastAPI Framework: High-performance Python API.
• Production Infrastructure: Multi-stage Docker build, non-root user execution.
• Health Monitoring: Standard /health, /ping, and /version endpoints.
• Render Compatible: Includes render.yaml for easy deployment.

Getting Started

Local Development

1. Install dependencies:

   pip install -r requirements.txt

2. Run the application:

   uvicorn app.main:app --reload

Docker

Build and run with Docker:

docker build -t vit-ai .
docker run -p 8000:8000 vit-ai

Documentation

• Readiness Audit
• Environment Variables
• Deployment Report