by grok-php
Seamlessly integrate Grok AI into Laravel applications with an elegant, developer-friendly package. Leverage powerful AI models for chat, automation, and NLP, while maintaining Laravel's expressive simplicity.
# Add to your Claude Code skills
git clone https://github.com/grok-php/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.
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Install via Composer:
composer require grok-php/laravel
After installation, run the setup command:
php artisan grok:install
This command will:
config/grok.php)..env.Add your API key in .env:
GROK_API_KEY=your-api-key
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();
$response = GrokAI::vision()->analyze(
'https://example.com/sample.jpg',
'Describe this image'
);
echo $response->content();
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();
}
| Model Enum | API Model Name | Description |
|-----------------------------|----------------------|-----------------------------------------------------|
| Model::GROK_VISION_BETA | grok-vision-beta | Experimental vision-enabled model |
| Model::GROK_2_VISION | grok-2-vision | Advanced multi-modal vision model |
| Model::GROK_2_VISION_LATEST | grok-2-vision-latest | Latest iteration of Grok vision models |
| Model::GROK_2_VISION_1212 | grok-2-vision-1212 | Enhanced vision model with performance improvements |
| Model::GROK_2_1212 | grok-2-1212 | Optimized chat model |
| Model::GROK_2 | grok-2 | Default general-purpose Grok model |
| Model::GROK_2_LATEST | grok-2-latest | Latest iteration of Grok-2 |
| Model::GROK_BETA | grok-beta | Experimental beta model |
Default model used: Model::GROK_2
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.
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
If you discover a security vulnerability, please report it via email:
thefeqy@gmail.com
Check out CONTRIBUTING.md for guidelines on how to contribute.
This package is open-source software licensed under the MIT License.