Files
laravel-llm-gateway/laravel-app/app/Http/Controllers/Api/ChatCompletionController.php
wtrinkl c149bdbdde Architektur-Analyse und Korrektur-Konzept
- Umfassende Analyse der aktuellen Implementierung durchgeführt
- Identifiziert: Zwei getrennte User-Systeme (users vs gateway_users)
- Problem: API verwendet falsche Tabelle (users statt gateway_users)
- Lösung: Kompletter Implementierungsplan für korrekte Architektur
- Dokument: ARCHITEKTUR.md mit 6-Tage-Umsetzungsplan erstellt
- Enthält: Custom API-Key Guard, Gateway-User-Credentials, Budget-System
- Swagger/Scramble Paket hinzugefügt (für spätere API-Dokumentation)

Status: Bereit für Implementierung (Start: Tag 1 - Datenbank & Models)
2025-11-18 23:42:29 +01:00

94 lines
3.3 KiB
PHP

<?php
namespace App\Http\Controllers\Api;
use App\Http\Controllers\Controller;
use App\Http\Requests\ChatCompletionRequest;
use App\Services\LLM\GatewayService;
use App\Exceptions\{ProviderException, InsufficientBudgetException, RateLimitExceededException};
use Illuminate\Http\JsonResponse;
use Illuminate\Support\Facades\Log;
class ChatCompletionController extends Controller
{
public function __construct(
private GatewayService $gatewayService
) {}
/**
* Create a chat completion
*
* Accepts OpenAI-compatible chat completion requests and routes them to the appropriate
* LLM provider (OpenAI, Anthropic, DeepSeek, Google Gemini, or Mistral AI).
*
* The request uses the authenticated user's API keys for the specified provider.
* Cost tracking, budget checking, and rate limiting are applied automatically.
*
* Returns an OpenAI-compatible response with usage statistics and cost information.
*
* @tags Chat
*
* @param ChatCompletionRequest $request
* @return JsonResponse
*/
public function create(ChatCompletionRequest $request): JsonResponse
{
try {
$user = $request->user();
$result = $this->gatewayService->chatCompletion(
user: $user,
provider: $request->input('provider'),
model: $request->input('model'),
messages: $request->input('messages'),
options: $request->only(['temperature', 'max_tokens', 'top_p', 'frequency_penalty', 'presence_penalty', 'stop']),
ipAddress: $request->ip(),
userAgent: $request->userAgent()
);
return response()->json($result, 200);
} catch (InsufficientBudgetException $e) {
return response()->json([
'success' => false,
'error' => 'budget_exceeded',
'message' => $e->getMessage(),
], 402); // Payment Required
} catch (RateLimitExceededException $e) {
return response()->json([
'success' => false,
'error' => 'rate_limit_exceeded',
'message' => $e->getMessage(),
'retry_after' => $e->getRetryAfter(),
], 429);
} catch (ProviderException $e) {
Log::error('Provider error in chat completion', [
'user_id' => $request->user()->id,
'provider' => $request->input('provider'),
'error' => $e->getMessage(),
]);
return response()->json([
'success' => false,
'error' => 'provider_error',
'message' => $e->getMessage(),
], $e->getCode() ?: 500);
} catch (\Exception $e) {
Log::error('Unexpected error in chat completion', [
'user_id' => $request->user()->id,
'error' => $e->getMessage(),
'trace' => $e->getTraceAsString(),
]);
return response()->json([
'success' => false,
'error' => 'internal_error',
'message' => 'An unexpected error occurred. Please try again.',
], 500);
}
}
}