We give you the option to use the Prem AI API, the PremAI SDK, or the OpenAI SDK.

For API usage documentation, refer to the API Reference.

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Create an API Key 🔑

Click the API Key button on the sidebar. Then click the + Create API Key button.

Afterwards, copy the API key and save it in a secure location.

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Use with PremAI SDK

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Install the PremAI SDK

npm install premai

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List Models

import PremAI from 'premai';

const client = new PremAI({
  apiKey: process.env['PREMAI_API_KEY'], // This is the default and can be omitted
});

const response = await client.models.list();

console.log(response.data);

​
Chat Completions

import PremAI from 'premai';

const client = new PremAI({
  apiKey: process.env['PREMAI_API_KEY'], // This is the default and can be omitted
});

const response = await client.chat.completions({
    messages: [{
        role: 'user',
        content: 'Write a one-sentence bedtime story about a unicorn.'
    }],
    model: 'llama3.2-3b'
});

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

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Chat Completion with Streaming

import PremAI from "premai";

const client = new PremAI({
    apiKey: process.env.PREMAI_API_KEY,
});

// Create a chat completion
const response = await client.chat.completions.create({
    kidmodel: "llama3.2-3b", //Or any other model you want to use
    messages: [{
        role: "user",
        content: "Write a one-sentence bedtime story about a unicorn."
    }],
    stream: true,
});

for await (const chunk of response) {
    process.stdout.write(chunk.choices[0].delta.content);
}

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Use with OpenAI SDK

​
Install the OpenAI SDK

npm install openai

​
List Models

import OpenAI from 'openai';

const client = new OpenAI({
  baseURL: "https://studio.premai.io/api/v1/",
  apiKey: process.env['PREMAI_API_KEY'], // This is the default and can be omitted
});

const response = await client.models.list();

console.log(response.data);

​
Chat Completions

The model name can be replaced with the name of your fine-tuned models as well.

import OpenAI from "openai";

const client = new OpenAI({
    baseURL: "https://studio.premai.io/api/v1/",
    apiKey: process.env.PREMAI_API_KEY,
});

//Create a chat completion
const response = await client.chat.completions.create({
    model: "llama3.2-3b", //Or any other model you want to use
    messages: [{ role: "user", content: "Write a one-sentence bedtime story about a unicorn." }]
});

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

​
Chat Completion with Streaming

import OpenAI from "openai";

const client = new OpenAI({
    baseURL: "https://studio.premai.io/api/v1/",
    apiKey: process.env.PREMAI_API_KEY,
});

//Create a chat completion
const response = await client.chat.completions.create({
    model: "llama3.2-3b", //Or any other model you want to use
    messages: [{ role: "user", content: "Write a one-sentence bedtime story about a unicorn." }],
    stream: true,
});

for await (const chunk of response) {
    process.stdout.write(chunk.choices[0].delta.content);
}