Day 3 – GPT Function Calling for Personalized Product Recommendations #LaravelGPT #FunctionCalling #AIRecommendations #OpenAI #LaravelAIEngine

composer require openai-php/laravel

php artisan vendor:publish --provider="OpenAI\Laravel\ServiceProvider"

OPENAI_API_KEY=sk-...

php artisan make:service ProductRecommendationService

namespace App\Services;

use OpenAI\Laravel\Facades\OpenAI;
use App\Models\User;

class ProductRecommendationService
{
    public function recommend(User $user): string
    {
        $viewed = $user->viewedProducts()
            ->latest('pivot_viewed_at')
            ->limit(5)
            ->get(['name', 'description', 'category'])
            ->map(fn ($p) => [
                'name' => $p->name,
                'description' => $p->description,
                'category' => $p->category,
            ])
            ->toArray();

        $function = [
            'name' => 'suggest_products',
            'description' => 'Suggest relevant products for a user based on viewed products',
            'parameters' => [
                'type' => 'object',
                'properties' => [
                    'suggestions' => [
                        'type' => 'array',
                        'items' => ['type' => 'string'],
                    ],
                ],
                'required' => ['suggestions'],
            ],
        ];

        $response = OpenAI::chat()->create([
            'model' => 'gpt-4-0613',
            'messages' => [
                [
                    'role' => 'user',
                    'content' => 'Suggest products based on this viewing history: ' . json_encode($viewed),
                ],
            ],
            'functions' => [$function],
            'function_call' => ['name' => 'suggest_products'],
        ]);

        $funcResult = $response['choices'][0]['message']['function_call']['arguments'] ?? '{}';

        $decoded = json_decode($funcResult, true);

        return $decoded['suggestions'] ?? [];
    }
}

use App\Services\ProductRecommendationService;

Route::get('/recommendations', function (ProductRecommendationService $service) {
    $user = \App\Models\User::first(); // demo
    $suggestions = $service->recommend($user);

    return response()->json([
        'suggested_products' => $suggestions,
    ]);
});

http://localhost:8000/recommendations

{
  "suggested_products": [
    "Noise-Cancelling Earbuds",
    "Gaming Chair",
    "Adjustable Monitor Arm"
  ]
}