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We’re in closed Beta right now. Please be aware the things could break. We’re happy to get your feedback.

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Get started in three easy steps

Get your LLM running and send your first request.
1

Create an API Key

Go to your profile page and create an API Key. Store the API key at a secure location.
2

Install the SDK

Install the OpenAI SDK for your preferred language.
npm install openai
3

Use your API Key

Adjust the base path and the API key to target SUPA’s infrastructure.
import OpenAI from 'openai';

const openai = new OpenAI({
  apiKey: '<YOUR_API_KEY>',
  baseURL: 'https://api.supa.works/openai',
});

async function main() {
  const chatCompletion = await openai.chat.completions.create({
    messages: [{ role: 'user', content: 'What is a Banana?' }],
    model: 'qwen/qwen-turbo',
  });
  console.log(chatCompletion.choices[0].message.content);
}

main();
4

Use your API Key

Adjust the base path and the API key to target SUPA’s infrastructure.
import OpenAI from 'openai';

const openai = new OpenAI({
  apiKey: '<YOUR_API_KEY>',
  baseURL: 'https://api.supa.works/openai',
});

async function main() {
  const chatCompletion = await openai.chat.completions.create({
    messages: [{ role: 'user', content: 'What is a Banana?' }],
    model: 'google/gemma-3-27b-it',
  });
  console.log(chatCompletion.choices[0].message.content);
}

main();
And thats it! ✌🏻

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Next steps

Now that you know the basics, use a framework integration or walk through focused examples.

Vercel AI SDK

generateText, streaming, and tools with @ai-sdk/openai.

TanStack AI

OpenAI adapter and chat() with SUPA.

Tool calls

Function calling patterns across SDKs.

Image attachments

Vision-style prompts with images.

SUPA Field Guide

Browse our implementation examples to build awesome stuff.