VVIT University
Vasireddy Venkatadri International Technological University, Nambur, Guntur.
AI for VVIT University.
VVIT University teaches engineering, sciences and business on its campus at Nambur in Guntur district, Andhra Pradesh, through its School of Engineering & Sciences and the APPA School of Business. Its students and staff use TokenKey for coursework, projects and research.
- Campus
- Nambur (V), Pedakakani (M), Guntur, Andhra Pradesh 522508
- Schools
- School of Engineering & Sciences · APPA School of Business
- Ranking
- 1st in Andhra Pradesh and 5th in India, Emerging Universities, The Times of India (May 2026, per vvitu.ac.in)
Sign in through VVIT University
Accounts are approved by VVIT University's TokenKey administrator, not by TokenKey. Register with your university email, and you will be able to sign in once the university has approved you.
An AI workspace that runs on your machine on your own TokenKey key. Version 1.51.1.
Intel Mac? Download the Intel build How CoWork works.
- PKCE
- http-only session
- credentials never seen
What you get once you are in.
An AI API for coursework and projects
One OpenAI-compatible endpoint any tutorial already works against. Point a notebook or an app at it and it answers.
The Studio, for studying
Type a topic and get a mind map you can open branch by branch, or a deck of flashcards. Metered against your account.
CoWork, on your laptop or in the browser
The desktop app works with the files on your machine; CoWork Web needs nothing installed. Both run on your own key, so your usage page shows all of it.
Your prompts stay in India
Inference runs in India. Prompts and completions are never written to disk, and a test asserts that on every change.
Your own keys, your own usage
Keys you create are yours alone to see and revoke. Your usage page shows your requests, not the campus's.
Then it is one base URL.
Once approved, create a key in the console and point any OpenAI client at TokenKey. The Studio and the Playground need no key at all.
from openai import OpenAI
client = OpenAI(
base_url="https://tokenkey.in/v1",
api_key="tk_live_...", # from the console, after vvit approves you
)
client.chat.completions.create(
model="tk-auto",
messages=[{"role": "user", "content": "Explain the Calvin cycle."}],
)