Developer Onboarding

Quickstart Guide: Connect in Minutes.

Integrate Nvmix Flagship reasoning models and multimodal features into your application stack using our official libraries.

NodeJS / JavaScript

npm Package

Install our official client library to build low-latency applications on Node or Edge environments.

npm install @nvmix/sdk

Python

pip Package

Access deep learning models, reasoning paths, and multi-agent systems via our Python client.

pip install nvmix-sdk

Usage Examples

Python SDK Implementation

quickstart.py

import nvmix

# Initialize the client (automatically reads NVMIX_API_KEY env var)
client = nvmix.Client()

# Create a streaming chat completion
stream = client.chat.completions.create(
    model="nvmix-3.1-flagship",
    messages=[{"role": "user", "content": "Optimize this binary search tree."}],
    stream=True
)

for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")

NodeJS SDK Implementation

quickstart.js

import Nvmix from '@nvmix/sdk';

// Initialize the client
const nvmix = new Nvmix({
  apiKey: process.env.NVMIX_API_KEY
});

async function main() {
  const completion = await nvmix.chat.completions.create({
    model: 'nvmix-3.1-flagship',
    messages: [{ role: 'user', content: 'Explain quantum superposition.' }],
  });

  console.log(completion.choices[0].message.content);
}

main();

HTTP REST API Curl Request

cURL bash

curl https://api.nvmix.com/v1/chat/completions \
  -H "Authorization: Bearer $NVMIX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nvmix-3.1-flagship",
    "messages": [{"role": "user", "content": "Hello Nvmix!"}]
  }'