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Developer Documentation

Build on Rantera's platform.

RESTful APIs, OpenAI-compatible SDKs, and six purpose-built African models. From your first call to production in minutes.

Quick start

Three steps from zero to your first Rantera response.

01

Create your account

Sign up for a free Rantera account. Your API key is generated automatically and available in your dashboard under Settings → API Keys.

Create account
02

Make your first request

Use cURL, Postman, or any HTTP client. Replace sk-rnt-... with your API key.

cURL
curl https://api.rantera.ai/v1/chat/completions \
  -H "Authorization: Bearer sk-rnt-..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "hira",
    "messages": [
      { "role": "user", "content": "Hello, how are you?" }
    ]
  }'
03

Read the response

Responses follow the OpenAI format. The model's reply is in choices[0].message.content.

Full API reference

SDKs & Libraries

The Rantera API is OpenAI-compatible. Install the OpenAI SDK for your language, point it at https://api.rantera.ai/v1, and you're done.

JavaScript / TypeScriptnpm install openai
import OpenAI from 'openai';

const client = new OpenAI({
  baseURL: 'https://api.rantera.ai/v1',
  apiKey: 'sk-rnt-...',
});

const response = await client.chat.completions.create({
  model: 'hira',
  messages: [{ role: 'user', content: 'Hello!' }],
});

console.log(response.choices[0].message.content);
Pythonpip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.rantera.ai/v1",
    api_key="sk-rnt-...",
)

response = client.chat.completions.create(
    model="hira",
    messages=[{"role": "user", "content": "Hello!"}],
)

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

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