PerplexityAI API Wrapper for PHP

This PHP library provides a simple wrapper for the PerplexityAI API, allowing you to easily integrate the PerplexityAI API into your PHP projects.

Features

• Easy integration with PerplexityAI API
• Supports all PerplexityAI API endpoints
• Streaming support for real-time responses in chat completions
• Utilizes PSR-17 and PSR-18 compliant HTTP clients and factories for making API requests

Requirements

• PHP 8.1 or higher
• A PSR-17 HTTP Factory implementation (e.g., guzzle/psr7 or nyholm/psr7)
• A PSR-18 HTTP Client implementation (e.g., guzzlehttp/guzzle or symfony/http-client)

Installation

You can install the library via Composer:

composer require softcreatr/php-perplexity-ai-sdk

Usage

First, include the library in your project:

<?php

require_once 'vendor/autoload.php';

Then, create an instance of the PerplexityAI class with your API key, an HTTP client, an HTTP request factory, and an HTTP stream factory:

use SoftCreatR\PerplexityAI\PerplexityAI;

$apiKey = 'your_api_key';

// Replace these lines with your chosen PSR-17 and PSR-18 compatible HTTP client and factories
$httpClient = new YourChosenHttpClient();
$requestFactory = new YourChosenRequestFactory();
$streamFactory = new YourChosenStreamFactory();
$uriFactory = new YourChosenUriFactory();

$pplx = new PerplexityAI($requestFactory, $streamFactory, $uriFactory, $httpClient, $apiKey);

Now you can call any supported PerplexityAI API endpoint using the magic method __call:

$response = $pplx->createChatCompletion([
    'model' => 'llama-3.1-sonar-small-128k-online',
    'messages' => [
        [
            'role' => 'system',
            'content' => 'Be precise and concise.'
        ],
        [
            'role' => 'user',
            'content' => 'How many stars are there in our galaxy?'
        ]
    ],
]);

// Process the API response
if ($response->getStatusCode() === 200) {
    $responseObj = json_decode($response->getBody()->getContents(), true);
    
    print_r($responseObj);
} else {
    echo "Error: " . $response->getStatusCode();
}

Streaming Example

You can enable real-time streaming for chat completions:

$streamCallback = static function ($data) {
    if (isset($data['choices'][0]['delta']['content'])) {
        echo $data['choices'][0]['delta']['content'];
    }
};

$pplx->createChatCompletion(
    [
        'model' => 'llama-3.1-sonar-small-128k-online',
        'messages' => [
            [
                'role' => 'user',
                'content' => 'Tell me a story about a brave knight.',
            ],
        ],
        'stream' => true,
    ],
    $streamCallback
);

For more details on how to use each endpoint, refer to the PerplexityAI API documentation, and the examples provided in the repository.

Supported Methods

Chat Completions

• Create Chat Completion - Example
• createChatCompletion(array $options = [])

Changelog

For a detailed list of changes and updates, please refer to the CHANGELOG.md file. We adhere to Semantic Versioning and document notable changes for each release.

Known Problems and limitations

Streaming Support

Streaming is now supported for real-time token generation in chat completions. Please make sure you are handling streams correctly using a callback, as demonstrated in the examples.

License

This library is licensed under the ISC License. See the LICENSE file for more information.

Maintainers 🛠️

Sascha Greuel

Contributors ✨