🧠 Grok AI Laravel

A Laravel integration for the GrokPHP Client, designed to effortlessly incorporate Grok AI into Laravel applications with a clean and intuitive API.
Utilize advanced AI models for chat, automation, and natural language processing, all while preserving Laravel's simplicity and elegance.

Table of Contents

• Features
• Installation
• Quick Start
  • Chat API
  • Vision Analysis
  • Error Handling
• Available Grok AI Models
• Streaming Responses
• Testing
• Security
• Contributing
• License

Features

• Seamless Laravel Integration – Works with Laravel 10, 11, and 12
• Simple API Client – Access Grok AI models with a clean and intuitive API
• Supports Chat & Vision – Send both text and image-based requests
• Streaming Capable – Enable real-time AI responses
• Configurable Defaults – Set model, temperature, and timeout via config

Installation

Install via Composer:

composer require grok-php/laravel

After installation, run the setup command:

php artisan grok:install

This command will:

• Publish the configuration file (config/grok.php).
• Add necessary environment variables to .env.

Add your API key in .env:

GROK_API_KEY=your-api-key

Quick Start

Chat API

use GrokPHP\Laravel\Facades\GrokAI;
use GrokPHP\Client\Config\ChatOptions;
use GrokPHP\Client\Enums\Model;

$response = GrokAI::chat(
    [['role' => 'user', 'content' => 'Hello Grok!']],
    new ChatOptions(model: Model::GROK_2)
);

echo $response->content();

Vision Analysis (Image Recognition)

$response = GrokAI::vision()->analyze(
    'https://example.com/sample.jpg',
    'Describe this image'
);

echo $response->content();

Error Handling

All errors are wrapped in the GrokException class:

use GrokPHP\Client\Exceptions\GrokException;

try {
    $response = GrokAI::chat(
        [['role' => 'user', 'content' => 'Hello!']]
    );
    echo $response->content();
} catch (GrokException $e) {
    echo "Error: " . $e->getMessage();
}

Available Grok AI Models

Default model used: Model::GROK_2

Streaming Responses

Enable real-time AI responses by setting stream: true:

$response = GrokAI::chat(
    [['role' => 'user', 'content' => 'Tell me a story']],
    new ChatOptions(model: Model::GROK_2, stream: true)
);

Streaming is useful for chatbots, assistants, and real-time applications.

Testing

To run PHPUnit tests, copy the phpunit.xml.dist file to phpunit.xml and set your API key.

cp phpunit.xml.dist phpunit.xml

<php>
    <env name="GROK_API_KEY" value="your-grok-api-key"/>
</php>

Now, run the tests:

composer test

Security

If you discover a security vulnerability, please report it via email:
thefeqy@gmail.com

Contributing

Check out CONTRIBUTING.md for guidelines on how to contribute.

License

This package is open-source software licensed under the MIT License.