Files
larablog/app/Domain/Ai/OpenAiCompatibleLlmProvider.php
T
ak 263b98b218 Initial baseline: LaraBlog core with plugin commerce surface.
Captures the current working tree after theme slots, ArticleAccess, and the payment / paid-content plugins so subsequent work has a reviewable git history.
2026-08-12 01:15:38 +08:00

108 lines
3.2 KiB
PHP

<?php
declare(strict_types=1);
namespace App\Domain\Ai;
use App\Contracts\LlmProvider;
use App\Settings\AiSettings;
use Illuminate\Support\Facades\Http;
use RuntimeException;
class OpenAiCompatibleLlmProvider implements LlmProvider
{
public function __construct(
protected AiSettings $settings,
) {}
public function complete(string $prompt, array $context = []): array
{
$response = $this->request([
'model' => $this->settings->model ?? 'gpt-4o-mini',
'messages' => [
[
'role' => 'system',
'content' => 'You optimize blog article content. Respond with JSON containing summary (string) and suggestions (array of strings).',
],
[
'role' => 'user',
'content' => $prompt,
],
],
'response_format' => ['type' => 'json_object'],
]);
$content = data_get($response, 'choices.0.message.content');
if (! is_string($content)) {
throw new RuntimeException('LLM completion response missing content.');
}
$decoded = json_decode($content, true);
if (! is_array($decoded)) {
throw new RuntimeException('LLM completion response is not valid JSON.');
}
return [
'summary' => (string) ($decoded['summary'] ?? ''),
'suggestions' => array_values($decoded['suggestions'] ?? []),
];
}
public function moderate(string $content): array
{
$response = $this->request([
'model' => $this->settings->model ?? 'gpt-4o-mini',
'messages' => [
[
'role' => 'system',
'content' => 'Moderate blog comments. Respond with JSON: {"status":"approved|rejected|needs_human","reason":"..."}',
],
[
'role' => 'user',
'content' => $content,
],
],
'response_format' => ['type' => 'json_object'],
]);
$payload = data_get($response, 'choices.0.message.content');
$decoded = is_string($payload) ? json_decode($payload, true) : null;
if (! is_array($decoded) || ! isset($decoded['status'])) {
return [
'status' => 'needs_human',
'reason' => 'Unable to parse moderation response.',
];
}
return [
'status' => (string) $decoded['status'],
'reason' => isset($decoded['reason']) ? (string) $decoded['reason'] : null,
];
}
/**
* @param array<string, mixed> $payload
* @return array<string, mixed>
*/
protected function request(array $payload): array
{
$baseUrl = rtrim($this->settings->api_base_url ?? 'https://api.openai.com/v1', '/');
$response = Http::withToken($this->settings->api_key ?? '')
->acceptJson()
->timeout(60)
->post("{$baseUrl}/chat/completions", $payload)
->throw()
->json();
if (! is_array($response)) {
throw new RuntimeException('LLM provider returned an invalid response.');
}
return $response;
}
}