Quick Start

Using RIFX via API

To start using RIFX through API, you can call our API in the following ways:

Python

import requests
import json

# Send POST request using requests library
response = requests.post(
  url="https://api.rifx.online/v1/chat/completions",
  headers={
    "Authorization": f"Bearer {RIFX_API_KEY}" # Authorize using your API key
  },
  data=json.dumps({
    "model": "gpt-4o-mini", # Specify the model to use
    "messages": [
      {
        "role": "user", # Message role
        "content": "What is the purpose of existence?" # User input content
      }
    ]
  })
)

Typescript

// Send POST request using fetch API
fetch("https://api.rifx.online/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${RIFX_API_KEY}`, // Authorize using your API key
    "Content-Type": "application/json" // Specify request body content type
  },
  body: JSON.stringify({
    "model": "gpt-4o-mini", // Specify the model to use
    "messages": [
      {
        "role": "user", // Message role
        "content": "What is the purpose of existence?" // User input content
      }
    ]
  })
});

Shell

# Send POST request using curl command
curl https://api.rifx.online/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $RIFX_API_KEY" \
  -d '{
  "model": "gpt-4o-mini",
  "messages": [
    {
      "role": "user",
      "content": "What is the purpose of existence?"
    }
  ]
}'

Using OpenAI Client API

You can also interact with RIFX API using OpenAI’s client API. Here are examples in Python and TypeScript:

Python

from openai import OpenAI
from os import getenv

# Get API key from environment variable RIFX_API_KEY
client = OpenAI(
  base_url="https://api.rifx.online/v1",
  api_key=getenv("RIFX_API_KEY"),
)

# Send request using OpenAI client library
completion = client.chat.completions.create(
  model="gpt-4o-mini",  # Specify the model to use
  messages=[
    {
      "role": "user",  # Message role
      "content": "What is the purpose of existence?"  # User input content
    }
  ]
)

# Print response
print(completion.choices[0].message.content)

Typescript

import OpenAI from "openai";

// Set up OpenAI API client
const openai = new OpenAI({
  baseURL: "https://api.rifx.online/v1",
  apiKey: process.env.RIFX_API_KEY
});

// Send request using OpenAI client library
async function main() {
  const completion = await openai.chat.completions.create({
    model: "gpt-4o-mini", // Specify the model to use
    messages: [
      {
        role: "user", // Message role
        content: "What is the purpose of existence?" // User input content
      }
    ]
  });

  // Print response
  console.log(completion.choices[0].message);
}

main();

Important Notes

• API Key: Ensure you have obtained a valid RIFX API key and store it securely.
• Error Handling: In production applications, it’s recommended to add error handling logic to properly manage request failures.
• Model Selection: Choose appropriate models based on your needs; gpt-4o-mini is an example model.

With these examples, you can quickly integrate RIFX API into your applications. Choose the implementation method that best suits your programming language and requirements.