Installation

This guide will walk you through installing the necessary dependencies to use the AI API in your preferred programming language. Since our API is OpenAI-compatible, you can use the official OpenAI SDKs.

JavaScript/Node.js

Prerequisites

Node.js 18+
npm, yarn, or pnpm package manager

Install OpenAI SDK

# Using npm
npm install openai

# Using yarn
yarn add openai

# Using pnpm
pnpm add openai

Basic Setup

import OpenAI from "openai";

const openai = new OpenAI({
  baseURL: "https://api.akbxr.com/v1",
  apiKey: "YOUR_API_KEY",
});

// Test the connection
async function test() {
  const completion = await openai.chat.completions.create({
    messages: [{ role: "user", content: "Hello!" }],
    model: "auto",
  });
  console.log(completion.choices[0].message.content);
}

test();

Python

Prerequisites

Python 3.7+
pip package manager

Install OpenAI SDK

# Using pip
pip install openai

# Using conda
conda install openai

# For development
pip install openai python-dotenv

Basic Setup

import openai

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

# Test the connection
response = client.chat.completions.create(
    model="auto",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

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

Using Environment Variables

import os
from dotenv import load_dotenv
import openai

# Load environment variables from .env file
load_dotenv()

client = openai.OpenAI(
    api_key=os.getenv("AI_API_KEY", "YOUR_API_KEY"),
    base_url="https://api.akbxr.com/v1"
)

Virtual Environment (Recommended)

# Create virtual environment
python -m venv ai-api-env

# Activate virtual environment
# On macOS/Linux:
source ai-api-env/bin/activate
# On Windows:
ai-api-env\Scripts\activate

# Install dependencies
pip install openai python-dotenv

# Create requirements.txt
pip freeze > requirements.txt

cURL (HTTP Requests)

No installation required! You can use cURL directly:

curl -X POST https://api.akbxr.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "auto",
    "messages": [
      {
        "role": "user",
        "content": "Hello, AI!"
      }
    ],
    "stream": false
  }'

Other Languages

PHP

composer require guzzlehttp/guzzle

<?php
require 'vendor/autoload.php';

use GuzzleHttp\Client;

$client = new Client();

$response = $client->post('https://api.akbxr.com/v1/chat/completions', [
    'headers' => [
        'Authorization' => 'Bearer YOUR_API_KEY',
        'Content-Type' => 'application/json',
    ],
    'json' => [
        'model' => 'auto',
        'messages' => [
            ['role' => 'user', 'content' => 'Hello!']
        ]
    ]
]);

$data = json_decode($response->getBody(), true);
echo $data['choices'][0]['message']['content'];
?>

Go

go mod init ai-api-example
go get github.com/go-resty/resty/v2

package main

import (
    "fmt"
    "github.com/go-resty/resty/v2"
)

type ChatMessage struct {
    Role    string `json:"role"`
    Content string `json:"content"`
}

type ChatRequest struct {
    Model    string        `json:"model"`
    Messages []ChatMessage `json:"messages"`
}

func main() {
    client := resty.New()

    resp, err := client.R().
        SetHeader("Authorization", "Bearer YOUR_API_KEY").
        SetHeader("Content-Type", "application/json").
        SetBody(ChatRequest{
            Model: "auto",
            Messages: []ChatMessage{
                {Role: "user", Content: "Hello!"},
            },
        }).
        Post("https://api.akbxr.com/v1/chat/completions")

    if err != nil {
        panic(err)
    }

    fmt.Println(resp.String())
}

Next Steps

Now that you have the SDK installed:

Ready to make your first API call? Continue to the Quick Start guide.

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