Go from zero to your first AI API call in under 5 minutes. This tutorial walks you through creating an AIsa account, getting your API key, and making your first request to the Unified Model Gateway.

Prerequisites

All you need is:

A free AIsa account (comes with $5 in credits)
Any HTTP client (curl, Python requests, Node.js fetch, etc.)

Step 1: Create Your Account

Head to marketplace.aisa.one and sign up. You'll receive $5 in free credits immediately — enough for thousands of API calls.

Step 2: Get Your API Key

After signing in, navigate to your dashboard and copy your API key. Keep this secure — it's your authentication credential for all AIsa services.

Step 3: Make Your First Call

Using curl

bash

curl https://api.aisa.one/v1/chat/completions 
  -H "Authorization: Bearer YOUR_API_KEY" 
  -H "Content-Type: application/json" 
  -d '{
    "model": "gpt-4o-mini",
    "messages": [
      {"role": "system", "content": "You are a helpful assistant."},
      {"role": "user", "content": "What is AIsa?"}
    ]
  }'

curl https://api.aisa.one/v1/chat/completions 
  -H "Authorization: Bearer YOUR_API_KEY" 
  -H "Content-Type: application/json" 
  -d '{
    "model": "gpt-4o-mini",
    "messages": [
      {"role": "system", "content": "You are a helpful assistant."},
      {"role": "user", "content": "What is AIsa?"}
    ]
  }'

Using Python

python

import openai

client = openai.OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.aisa.one/v1"
)

response = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "What is AIsa?"}
    ]
)

print(response.choices[0].message.content)

import openai

client = openai.OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.aisa.one/v1"
)

response = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "What is AIsa?"}
    ]
)

print(response.choices[0].message.content)

Using Node.js

javascript

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "YOUR_API_KEY",
  baseURL: "https://api.aisa.one/v1",
});

const response = await client.chat.completions.create({
  model: "gpt-4o-mini",
  messages: [
    { role: "system", content: "You are a helpful assistant." },
    { role: "user", content: "What is AIsa?" },
  ],
});

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

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "YOUR_API_KEY",
  baseURL: "https://api.aisa.one/v1",
});

const response = await client.chat.completions.create({
  model: "gpt-4o-mini",
  messages: [
    { role: "system", content: "You are a helpful assistant." },
    { role: "user", content: "What is AIsa?" },
  ],
});

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

Step 4: Try Different Models

The beauty of AIsa is that switching models is just changing a string: