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[Utility & Helpers](/categories/utility) 4. / 5. katema/laravel-genai ActiveLibrary[Utility & Helpers](/categories/utility) katema/laravel-genai ==================== Drop-in Generative AI for Laravel applications - opinionated, extensible, and production-ready v1.0.1(4mo ago)02MITPHPPHP ^8.1|^8.2|^8.3 Since Dec 27Pushed 4mo agoCompare [ Source](https://github.com/Aeronk/ai-averywhere)[ Packagist](https://packagist.org/packages/katema/laravel-genai)[ RSS](/packages/katema-laravel-genai/feed)WikiDiscussions main Synced 1mo ago READMEChangelog (1)Dependencies (6)Versions (3)Used By (0) Laravel GenAI ============= [](#laravel-genai) > Drop-in Generative AI for Laravel applications - opinionated, extensible, and production-ready. [![Latest Version](https://camo.githubusercontent.com/df8c36645af5930ab41a2b76591eaeceba3a854e29627de7737b5c7ae89e1386/68747470733a2f2f696d672e736869656c64732e696f2f7061636b61676973742f762f6b6174656d612f6c61726176656c2d67656e61692e737667)](https://packagist.org/packages/katema/laravel-genai)[![License](https://camo.githubusercontent.com/c831271b63f7cd54f4dc85e2ed8704b4d936db112cc9a1d5c2c9a699e6d5bf93/68747470733a2f2f696d672e736869656c64732e696f2f7061636b61676973742f6c2f6b6174656d612f6c61726176656c2d67656e61692e737667)](LICENSE.md) Features -------- [](#features) - 🎯 **Simple API** - Clean, Laravel-native syntax - 🔌 **Provider Agnostic** - OpenAI, Claude, Gemini, Ollama, or custom - 📝 **Prompt Management** - Version control your prompts - 💾 **Context Management** - Maintain conversation context - 🎨 **Model Integration** - Add AI to Eloquent models with traits - 📊 **Cost Tracking** - Monitor tokens and costs - 🔒 **Production Ready** - Rate limiting, validation, error handling - 🚀 **Queue Support** - Async AI operations Installation ------------ [](#installation) ``` composer require katema/laravel-genai php artisan genai:install ``` Set your API key in `.env`: ``` GENAI_PROVIDER=openai OPENAI_API_KEY=your-api-key-here OPENAI_MODEL=gpt-4-turbo-preview ``` Quick Start ----------- [](#quick-start) ### Basic Text Generation [](#basic-text-generation) ``` use Katema\LaravelGenAI\Facades\AI; $response = AI::text('Write a product description for a coffee mug'); echo $response->content; ``` ### Chat Conversations [](#chat-conversations) ``` $messages = [ ['role' => 'user', 'content' => 'What is Laravel?'], ]; $response = AI::chat($messages); echo $response->content; ``` ### Structured JSON Output [](#structured-json-output) ``` $data = AI::json('Generate a user profile with name, email, and bio'); // Returns: ['name' => 'John Doe', 'email' => 'john@example.com', 'bio' => '...'] ``` ### With Context [](#with-context) ``` $response = AI::withContext([ 'user' => auth()->user()->name, 'company' => 'Acme Corp' ])->text('Write a welcome email'); ``` Prompt Management ----------------- [](#prompt-management) Create reusable prompts in `resources/prompts/`: **prompts/marketing/product\_description.md:** ``` Generate a compelling product description for: **Product:** {{product_name}} **Category:** {{category}} **Features:** {{features}} Make it persuasive and highlight benefits. ``` Use it in your code: ``` $response = AI::prompt('marketing.product_description', [ 'product_name' => 'Smart Coffee Maker', 'category' => 'Kitchen Appliances', 'features' => 'WiFi enabled, programmable, auto-shutoff' ]); ``` Model Integration ----------------- [](#model-integration) Add AI capabilities to your Eloquent models: ``` use Katema\LaravelGenAI\Traits\HasAI; class Product extends Model { use HasAI; } ``` Then use it: ``` $product = Product::find(1); // Generate a summary $summary = $product->summarize(); // Generate a description $description = $product->describe(); // Ask questions about the model $insights = $product->insights('What makes this product unique?'); ``` Multiple Providers ------------------ [](#multiple-providers) Switch between providers easily: ``` // Use OpenAI $response = AI::driver('openai')->text('Hello'); // Use Claude $response = AI::driver('claude')->text('Hello'); ``` Configure providers in `config/genai.php`: ``` 'providers' => [ 'openai' => [ 'api_key' => env('OPENAI_API_KEY'), 'model' => env('OPENAI_MODEL', 'gpt-4-turbo-preview'), ], 'claude' => [ 'api_key' => env('CLAUDE_API_KEY'), 'model' => env('CLAUDE_MODEL', 'claude-3-5-sonnet-20241022'), ], ], ``` Advanced Usage -------------- [](#advanced-usage) ### System Prompts [](#system-prompts) ``` $response = AI::withSystemPrompt('You are a helpful marketing assistant') ->chat($messages); ``` ### Custom Options [](#custom-options) ``` $response = AI::text('Write a story', [ 'temperature' => 0.9, 'max_tokens' => 500, 'model' => 'gpt-4' ]); ``` ### Fresh Context [](#fresh-context) ``` AI::withContext(['user' => 'Alice']) ->text('First request'); // Clear context for next request AI::fresh()->text('Second request'); ``` Cost Tracking ------------- [](#cost-tracking) All responses include cost and token information: ``` $response = AI::text('Hello'); echo $response->tokensUsed; // 150 echo $response->cost; // 0.0045 echo $response->model; // gpt-4-turbo-preview echo $response->provider; // openai ``` Configuration ------------- [](#configuration) Publish the config file: ``` php artisan vendor:publish --tag=genai-config ``` Key configuration options: ``` // Default provider 'default' => env('GENAI_PROVIDER', 'openai'), // Rate limiting 'rate_limits' => [ 'enabled' => true, 'max_requests_per_minute' => 60, 'max_tokens_per_day' => 100000, ], // Safety 'safety' => [ 'prompt_injection_detection' => true, 'output_validation' => true, 'max_prompt_length' => 10000, ], ``` Artisan Commands ---------------- [](#artisan-commands) ``` # Install the package php artisan genai:install # Create a new prompt template php artisan genai:prompt marketing.email # Test a prompt php artisan genai:test marketing.email --var="product=Coffee" ``` Contributing ------------ [](#contributing) We welcome contributions! Please see [CONTRIBUTING.md](CONTRIBUTING.md) for details. Security -------- [](#security) If you discover any security issues, please email instead of using the issue tracker. License ------- [](#license) The MIT License (MIT). Please see [License File](LICENSE.md) for more information. Credits ------- [](#credits) - [Aaron Katema](https://github.com/Aeronk) - [All Contributors](../../contributors) --- Built with ❤️ for the Laravel community ### Health Score 36 — LowBetter than 82% of packages Maintenance75 Regular maintenance activity Popularity2 Limited adoption so far Community6 Small or concentrated contributor base Maturity51 Maturing project, gaining track record Bus Factor1 Top contributor holds 100% of commits — single point of failure How is this calculated?**Maintenance (25%)** — Last commit recency, latest release date, and issue-to-star ratio. Uses a 2-year decay window. **Popularity (30%)** — Total and monthly downloads, GitHub stars, and forks. Logarithmic scaling prevents top-heavy scores. **Community (15%)** — Contributors, dependents, forks, watchers, and maintainers. Measures real ecosystem engagement. **Maturity (30%)** — Project age, version count, PHP version support, and release stability. ### Release Activity Cadence Every ~0 days Total 2 Last Release 136d ago PHP version history (2 changes)1.0.0PHP ^8.1 v1.0.1PHP ^8.1|^8.2|^8.3 ### Community Maintainers ![](https://www.gravatar.com/avatar/992caca8822584db4d06639319dabf1c00a418afdf8a3be7d6d735f0fda07429?d=identicon)[aaronkatema](/maintainers/aaronkatema) --- Top Contributors [![Aeronk](https://avatars.githubusercontent.com/u/13133754?v=4)](https://github.com/Aeronk "Aeronk (15 commits)") --- Tags laravelaiopenaiGeminiclaudellmgenerative-ai ### Code Quality TestsPHPUnit ### Embed Badge ![Health badge](/badges/katema-laravel-genai/health.svg) ``` [![Health](https://phpackages.com/badges/katema-laravel-genai/health.svg)](https://phpackages.com/packages/katema-laravel-genai) ``` ### Alternatives [cognesy/instructor-php The complete AI toolkit for PHP: unified LLM API, structured outputs, agents, and coding agent control 310107.9k1](/packages/cognesy-instructor-php)[sbsaga/toon 🧠 TOON for Laravel — a compact, human-readable, and token-efficient data format for AI prompts & LLM contexts. 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