softcreatr / php-perplexity-ai-sdk
A powerful and easy-to-use PHP SDK for the pplx (Perplexity) API, allowing seamless integration of advanced AI-powered features into your PHP projects..
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Requires
- php: >=8.1
- ext-json: *
- psr/http-client: *
- psr/http-factory: *
- psr/http-message: *
Requires (Dev)
- friendsofphp/php-cs-fixer: >=3
- guzzlehttp/guzzle: >=7
- phpunit/phpunit: >=10
README
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.