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
commit 263b98b218
337 changed files with 31393 additions and 0 deletions
@@ -0,0 +1,107 @@
+<?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;
+    }
+}