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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.
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grok-php/laravel
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ALaravel integration for theGrokPHP Client, designed to effortlessly incorporate Grok AI into Laravel applications with a clean and intuitive API.
Utilizeadvanced AI models forchat, automation, and natural language processing, all while preserving Laravel's simplicity and elegance.
- Features
- Installation
- Quick Start
- Available Grok AI Models
- Streaming Responses
- Testing
- Security
- Contributing
- License
- 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
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
useGrokPHP\Laravel\Facades\GrokAI;useGrokPHP\Client\Config\ChatOptions;useGrokPHP\Client\Enums\Model;$response = GrokAI::chat( [['role' =>'user','content' =>'Hello Grok!']],newChatOptions(model: Model::GROK_2));echo$response->content();
$response = GrokAI::vision()->analyze('https://example.com/sample.jpg','Describe this image');echo$response->content();
All errors are wrapped in theGrokException
class:
useGrokPHP\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 settingstream: true
:
$response = GrokAI::chat( [['role' =>'user','content' =>'Tell me a story']],newChatOptions(model: Model::GROK_2, stream:true));
Streaming is useful for chatbots, assistants, and real-time applications.
To run PHPUnit tests, copy thephpunit.xml.dist
file tophpunit.xml
and set your API key.
cp phpunit.xml.dist phpunit.xml
<php> <envname="GROK_API_KEY"value="your-grok-api-key"/></php>
Now, run the tests:
composertest
If you discover a security vulnerability, please report it via email:
thefeqy@gmail.com
Check outCONTRIBUTING.md for guidelines on how to contribute.
This package is open-source software licensed under theMIT License.
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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.
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