How to Integrate OpenAI API with Laravel (Complete Guide 2026)

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How to Integrate OpenAI API with Laravel (Complete Guide 2026)

Laravel is the most popular PHP framework, and adding OpenAI to it is straightforward with the official openai-php/client library. This guide covers installation, a service class, a chat controller, streaming, error handling, and testing.

Requirements

• Laravel 10 or 11, PHP 8.1+, Composer, OpenAI API key

  Step 1: Install

composer require openai-php/laravel
php artisan vendor:publish --provider="OpenAI\Laravel\ServiceProvider"

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Step 2: .env

OPENAI_API_KEY=sk-proj-...

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Step 3: OpenAIService

namespace App\Services;
use OpenAI\Laravel\Facades\OpenAI;

class OpenAIService
{
    public function chat(array $messages, string $model = 'gpt-4o-mini'): string
    {
        $response = OpenAI::chat()->create(['model' => $model, 'messages' => $messages]);
        return $response->choices[0]->message->content;
    }
}

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Step 4: ChatController

public function send(Request $request): JsonResponse
{
    $messages = $request->input('history', []);
    $messages[] = ['role' => 'user', 'content' => $request->input('message')];
    $reply = $this->openAI->chat($messages);
    return response()->json(['reply' => $reply, 'messages' => [...$messages,
        ['role' => 'assistant', 'content' => $reply]]]);
}

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Step 5: Streaming SSE

return response()->stream(function () use ($messages) {
    foreach ($this->openAI->stream($messages) as $chunk) {
        echo "data: " . json_encode(['chunk' => $chunk]) . "\n\n";
        ob_flush(); flush();
    }
    echo "data: [DONE]\n\n";
}, 200, ['Content-Type' => 'text/event-stream', 'Cache-Control' => 'no-cache']);

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Error Handling

use OpenAI\Exceptions\ErrorException;
use OpenAI\Exceptions\TransporterException;

try {
    $reply = $this->openAI->chat($messages);
} catch (ErrorException $e) {
    return response()->json(['error' => 'AI service error.'], 503);
} catch (TransporterException $e) {
    return response()->json(['error' => 'Connection failed.'], 503);
}

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Testing

OpenAI::fake([CreateResponse::fake(['choices' => [['message' => ['content' => 'Hi!']]]])]);
$reply = app(OpenAIService::class)->chat([['role' => 'user', 'content' => 'Hello']]);
$this->assertEquals('Hi!', $reply);

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Summary

composer require openai-php/laravel + OPENAI_API_KEY in .env

• Service class keeps controllers clean; stream with response()->stream() + SSE

OpenAI::fake() for unit tests without hitting the real API

Originally published at kalyna.pro