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  "aboutHtml": "<p>Hermes 3 Llama 3.1 405B هو نموذج نصي عام كبير من Nous Research، طُوّر بضبط دقيق لكامل معلمات Llama 3.1 405B. تؤكد الشركة المطوّرة التوافق مع تعليمات المستخدم وقابلية التوجيه وتقمّص الأدوار والاستدلال والمحادثة متعددة الأدوار والتماسك عبر السياق الطويل. المخرج نصي، يشمل الإجابات والمحتوى المكتوب والشيفرة والسجلات المنظّمة ومعلومات استدعاء الدوال.</p><h4>إصدار 405B</h4><p>هذا هو متغيّر Hermes 3 الكبير، المنفصل عن نظيره 70B وعن إصدار الاستدلال اللاحق Hermes 4. توسّع الشركة المصنّعة قدرات Hermes السابقة بتحسين استدعاء الدوال والمخرجات المنظّمة وتوليد الشيفرة. امنح المهمة أدلتها الفعلية وشكلها النهائي المطلوب بدلًا من افتراض أن حجم النموذج يوفّر المصادر المفقودة أو معيار الإكمال.</p><p>لتحليل مستندات، ضع تسميات للمقاطع وحدّد معايير المقارنة. اطلب المصدر ذا الصلة بجانب كل استنتاج وحدّد كيفية التعامل مع المعلومات الغائبة. ولتكليف كتابة، قدّم الجمهور والنبرة والحقائق التي يجب أن تبقى بعد المراجعة. موجّه عملي هو: «أعد كتابة هذا الشرح للقارئ المحدّد، وحافظ على المصطلحات المعرّفة، وحدّد أي ادعاء غير مدعوم يحتاج إلى توضيح».</p><h4>تنسيق الموجّه والحوار</h4><p>يستخدم Hermes 3 تنسيق ChatML لفصل تعليمات النظام ورسائل المستخدم وردود المساعد. يستطيع قالبه الخاص إنشاء المحادثة وإلحاق بادئة توليد المساعد. توجّه تعليمات النظام الدور والقواعد والأسلوب؛ وهي اختيارية حين لا تتطلب المهمة تمهيدًا خاصًا.</p><p>ينبغي لمحادثة مستمرة إبقاء نص المصدر منفصلًا عن التعليمات والحفاظ على الحقائق المقبولة ضمن السياق ذي الصلة. لتقمّص الأدوار، حدّد من يتحكم في كل شخصية والأحداث المستقرّة. وللشيفرة، اذكر السلوك الذي يتغيّر والتعاقدات التي تبقى سليمة. ينبغي أن يظل المُنتَج المرغوب ظاهرًا طوال الحوار.</p><h4>الدوال والملاحظات المصدرية</h4><p>توثّق بطاقة النموذج المحدّد توقيعات الدوال داخل تمثيل تعريف الأدوات الخاص به ومخطط استجابة مطلوبًا لاسم الدالة والوسائط. يولّد النموذج كائنات استدعاء JSON موسومة. يحلّل التطبيق العملية المختارة وينفّذها، ثم يعيد نتيجتها في استجابة أداة مسمّاة. تستطيع إجابة المساعد التالية شرح البيانات الفعلية.</p><p>امنح كل دالة غرضًا واضحًا وأوصاف معلمات دقيقة. لا تجعل بحثًا مقترحًا يقوم مقام مصدر معاد. أبقِ الملاحظة مرتبطة بالعملية المختارة حتى يحدّد الاستنتاج النهائي ما يدعمه. وتظل الشيفرة المُولَّدة كذلك اقتراحًا إلى أن تُفحص وتُشغَّل في البيئة المقصودة.</p><h4>نتائج JSON والسياق والدقة العددية</h4><p>يُدرَّب وضع JSON في Hermes 3 بتعليمة نظام تحتوي المخطط المرغوب وتطلب كائن JSON كإجابة. عرّف الحقول وكيفية تمثيل قيم المصدر المفقودة أو المتعارضة. تحقّق من البنية وراجع الحقائق حتى حين يتبع الكائن المخطط.</p><p>تضبط الإعدادات المنشورة max_position_embeddings على 131٬072. وزّع ميزانية التعليمات والمستندات والسجل ونتائج الأدوات والاستجابة معًا؛ فهذا الحقل لا يثبت سقفًا عامًا منفصلًا للمخرجات. للنموذج الكامل لدى الشركة المنتجة والمتغيّرات المكمّمة المنشورة على نحو منفصل هويات خاصة من حيث الدقة العددية، لذا ينبغي عدم إحلال تلك المتغيّرات محل متغيّر 405B المسمّى بصمت.</p><p>المُنتَج المفيد مُنتَج نصي أو برمجي واضح الافتراضات والصلات بالمصادر. راجعه بمقارنته بالمتطلبات المقدّمة والملاحظات الفعلية. تظل مسارات ChatML واستدعاء الدوال وJSON في Hermes 3 منفصلة عن ضوابط التفكير الهجين والاستدلال المتداخل اللاحقة في Hermes 4.</p>",
  "aboutText": "Hermes 3 Llama 3.1 405B هو نموذج نصي عام كبير من Nous Research، طُوّر بضبط دقيق لكامل معلمات Llama 3.1 405B. تؤكد الشركة المطوّرة التوافق مع تعليمات المستخدم وقابلية التوجيه وتقمّص الأدوار والاستدلال والمحادثة متعددة الأدوار والتماسك عبر السياق الطويل. المخرج نصي، يشمل الإجابات والمحتوى المكتوب والشيفرة والسجلات المنظّمة ومعلومات استدعاء الدوال.\n\n### إصدار 405B\n\nهذا هو متغيّر Hermes 3 الكبير، المنفصل عن نظيره 70B وعن إصدار الاستدلال اللاحق Hermes 4. توسّع الشركة المصنّعة قدرات Hermes السابقة بتحسين استدعاء الدوال والمخرجات المنظّمة وتوليد الشيفرة. امنح المهمة أدلتها الفعلية وشكلها النهائي المطلوب بدلًا من افتراض أن حجم النموذج يوفّر المصادر المفقودة أو معيار الإكمال.\n\nلتحليل مستندات، ضع تسميات للمقاطع وحدّد معايير المقارنة. اطلب المصدر ذا الصلة بجانب كل استنتاج وحدّد كيفية التعامل مع المعلومات الغائبة. ولتكليف كتابة، قدّم الجمهور والنبرة والحقائق التي يجب أن تبقى بعد المراجعة. موجّه عملي هو: «أعد كتابة هذا الشرح للقارئ المحدّد، وحافظ على المصطلحات المعرّفة، وحدّد أي ادعاء غير مدعوم يحتاج إلى توضيح».\n\n### تنسيق الموجّه والحوار\n\nيستخدم Hermes 3 تنسيق ChatML لفصل تعليمات النظام ورسائل المستخدم وردود المساعد. يستطيع قالبه الخاص إنشاء المحادثة وإلحاق بادئة توليد المساعد. توجّه تعليمات النظام الدور والقواعد والأسلوب؛ وهي اختيارية حين لا تتطلب المهمة تمهيدًا خاصًا.\n\nينبغي لمحادثة مستمرة إبقاء نص المصدر منفصلًا عن التعليمات والحفاظ على الحقائق المقبولة ضمن السياق ذي الصلة. لتقمّص الأدوار، حدّد من يتحكم في كل شخصية والأحداث المستقرّة. وللشيفرة، اذكر السلوك الذي يتغيّر والتعاقدات التي تبقى سليمة. ينبغي أن يظل المُنتَج المرغوب ظاهرًا طوال الحوار.\n\n### الدوال والملاحظات المصدرية\n\nتوثّق بطاقة النموذج المحدّد توقيعات الدوال داخل تمثيل تعريف الأدوات الخاص به ومخطط استجابة مطلوبًا لاسم الدالة والوسائط. يولّد النموذج كائنات استدعاء JSON موسومة. يحلّل التطبيق العملية المختارة وينفّذها، ثم يعيد نتيجتها في استجابة أداة مسمّاة. تستطيع إجابة المساعد التالية شرح البيانات الفعلية.\n\nامنح كل دالة غرضًا واضحًا وأوصاف معلمات دقيقة. لا تجعل بحثًا مقترحًا يقوم مقام مصدر معاد. أبقِ الملاحظة مرتبطة بالعملية المختارة حتى يحدّد الاستنتاج النهائي ما يدعمه. وتظل الشيفرة المُولَّدة كذلك اقتراحًا إلى أن تُفحص وتُشغَّل في البيئة المقصودة.\n\n### نتائج JSON والسياق والدقة العددية\n\nيُدرَّب وضع JSON في Hermes 3 بتعليمة نظام تحتوي المخطط المرغوب وتطلب كائن JSON كإجابة. عرّف الحقول وكيفية تمثيل قيم المصدر المفقودة أو المتعارضة. تحقّق من البنية وراجع الحقائق حتى حين يتبع الكائن المخطط.\n\nتضبط الإعدادات المنشورة max_position_embeddings على 131٬072. وزّع ميزانية التعليمات والمستندات والسجل ونتائج الأدوات والاستجابة معًا؛ فهذا الحقل لا يثبت سقفًا عامًا منفصلًا للمخرجات. للنموذج الكامل لدى الشركة المنتجة والمتغيّرات المكمّمة المنشورة على نحو منفصل هويات خاصة من حيث الدقة العددية، لذا ينبغي عدم إحلال تلك المتغيّرات محل متغيّر 405B المسمّى بصمت.\n\nالمُنتَج المفيد مُنتَج نصي أو برمجي واضح الافتراضات والصلات بالمصادر. راجعه بمقارنته بالمتطلبات المقدّمة والملاحظات الفعلية. تظل مسارات ChatML واستدعاء الدوال وJSON في Hermes 3 منفصلة عن ضوابط التفكير الهجين والاستدلال المتداخل اللاحقة في Hermes 4.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">Nous: Hermes 3 405B Instruct</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"إغلاق\">×</button></div><div class=\"idline\"><span>Nous /</span><code>nousresearch/hermes-3-llama-3.1-405b</code><button type=\"button\" id=\"copy-id\">نسخ ID</button></div><nav class=\"card-jump-nav\" aria-label=\"أقسام بطاقة النموذج\"><button type=\"button\" data-card-jump=\"overview\">البداية</button><button type=\"button\" data-card-jump=\"methods\">المدخلات والطرائق</button><button type=\"button\" data-card-jump=\"pricing\">الباقات</button><button type=\"button\" data-card-jump=\"examples\">أمثلة</button><button type=\"button\" data-card-jump=\"results\">النتائج</button><button type=\"button\" data-card-jump=\"aliases\">الأسماء البديلة</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"طرائق API\"><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-0\" data-card-method=\"Ultra|chat|/v1/chat/completions|nousresearch%2Fhermes-3-llama-3.1-405b\">Chat</button><button type=\"button\" role=\"tab\" tabindex=\"-1\" aria-controls=\"card-method-content\" aria-selected=\"false\" id=\"card-method-tab-1\" data-card-method=\"Ultra|messages|/v1/messages|nousresearch%2Fhermes-3-llama-3.1-405b\">Messages</button></div><div id=\"card-method-content\" role=\"tabpanel\" aria-labelledby=\"card-method-tab-0\"><section class=\"card-section\" data-card-section=\"overview\"><h3 tabindex=\"-1\">البداية</h3><p class=\"mdesc-full\">Hermes 3 Llama 3.1 405B هو نموذج نصي عام من Nous Research بحجم 405B ضُبط بدقة على كامل المعلمات. تدعم محادثته القابلة للتوجيه عبر ChatML وJSON الموجّه بالمخططات وتنسيق استدعاء الدوال تحليل المصادر والكتابة والشيفرة والعمل متعدد الخطوات باستخدام الملاحظات التي تعيدها أدوات التطبيق.</p><dl class=\"card-io\" data-card-io><div><dt>المدخلات المقبولة</dt><dd>النص</dd></div><div><dt>النتائج</dt><dd>النص</dd></div></dl><details class=\"card-about\"><summary>عن النموذج</summary><p class=\"note-s\" data-model-method-boundary>يغطي هذا الوصف قدرات النموذج. وترد أدناه المدخلات والمخرجات والخيارات المتاحة في Ailoot للطريقة المحددة.</p><div class=\"mabout\" id=\"m-about\"><p>Hermes 3 Llama 3.1 405B هو نموذج نصي عام كبير من Nous Research، طُوّر بضبط دقيق لكامل معلمات Llama 3.1 405B. تؤكد الشركة المطوّرة التوافق مع تعليمات المستخدم وقابلية التوجيه وتقمّص الأدوار والاستدلال والمحادثة متعددة الأدوار والتماسك عبر السياق الطويل. المخرج نصي، يشمل الإجابات والمحتوى المكتوب والشيفرة والسجلات المنظّمة ومعلومات استدعاء الدوال.</p><h4>إصدار 405B</h4><p>هذا هو متغيّر Hermes 3 الكبير، المنفصل عن نظيره 70B وعن إصدار الاستدلال اللاحق Hermes 4. توسّع الشركة المصنّعة قدرات Hermes السابقة بتحسين استدعاء الدوال والمخرجات المنظّمة وتوليد الشيفرة. امنح المهمة أدلتها الفعلية وشكلها النهائي المطلوب بدلًا من افتراض أن حجم النموذج يوفّر المصادر المفقودة أو معيار الإكمال.</p><p>لتحليل مستندات، ضع تسميات للمقاطع وحدّد معايير المقارنة. اطلب المصدر ذا الصلة بجانب كل استنتاج وحدّد كيفية التعامل مع المعلومات الغائبة. ولتكليف كتابة، قدّم الجمهور والنبرة والحقائق التي يجب أن تبقى بعد المراجعة. موجّه عملي هو: «أعد كتابة هذا الشرح للقارئ المحدّد، وحافظ على المصطلحات المعرّفة، وحدّد أي ادعاء غير مدعوم يحتاج إلى توضيح».</p><h4>تنسيق الموجّه والحوار</h4><p>يستخدم Hermes 3 تنسيق ChatML لفصل تعليمات النظام ورسائل المستخدم وردود المساعد. يستطيع قالبه الخاص إنشاء المحادثة وإلحاق بادئة توليد المساعد. توجّه تعليمات النظام الدور والقواعد والأسلوب؛ وهي اختيارية حين لا تتطلب المهمة تمهيدًا خاصًا.</p><p>ينبغي لمحادثة مستمرة إبقاء نص المصدر منفصلًا عن التعليمات والحفاظ على الحقائق المقبولة ضمن السياق ذي الصلة. لتقمّص الأدوار، حدّد من يتحكم في كل شخصية والأحداث المستقرّة. وللشيفرة، اذكر السلوك الذي يتغيّر والتعاقدات التي تبقى سليمة. ينبغي أن يظل المُنتَج المرغوب ظاهرًا طوال الحوار.</p><h4>الدوال والملاحظات المصدرية</h4><p>توثّق بطاقة النموذج المحدّد توقيعات الدوال داخل تمثيل تعريف الأدوات الخاص به ومخطط استجابة مطلوبًا لاسم الدالة والوسائط. يولّد النموذج كائنات استدعاء JSON موسومة. يحلّل التطبيق العملية المختارة وينفّذها، ثم يعيد نتيجتها في استجابة أداة مسمّاة. تستطيع إجابة المساعد التالية شرح البيانات الفعلية.</p><p>امنح كل دالة غرضًا واضحًا وأوصاف معلمات دقيقة. لا تجعل بحثًا مقترحًا يقوم مقام مصدر معاد. أبقِ الملاحظة مرتبطة بالعملية المختارة حتى يحدّد الاستنتاج النهائي ما يدعمه. وتظل الشيفرة المُولَّدة كذلك اقتراحًا إلى أن تُفحص وتُشغَّل في البيئة المقصودة.</p><h4>نتائج JSON والسياق والدقة العددية</h4><p>يُدرَّب وضع JSON في Hermes 3 بتعليمة نظام تحتوي المخطط المرغوب وتطلب كائن JSON كإجابة. عرّف الحقول وكيفية تمثيل قيم المصدر المفقودة أو المتعارضة. تحقّق من البنية وراجع الحقائق حتى حين يتبع الكائن المخطط.</p><p>تضبط الإعدادات المنشورة max_position_embeddings على 131٬072. وزّع ميزانية التعليمات والمستندات والسجل ونتائج الأدوات والاستجابة معًا؛ فهذا الحقل لا يثبت سقفًا عامًا منفصلًا للمخرجات. للنموذج الكامل لدى الشركة المنتجة والمتغيّرات المكمّمة المنشورة على نحو منفصل هويات خاصة من حيث الدقة العددية، لذا ينبغي عدم إحلال تلك المتغيّرات محل متغيّر 405B المسمّى بصمت.</p><p>المُنتَج المفيد مُنتَج نصي أو برمجي واضح الافتراضات والصلات بالمصادر. راجعه بمقارنته بالمتطلبات المقدّمة والملاحظات الفعلية. تظل مسارات ChatML واستدعاء الدوال وJSON في Hermes 3 منفصلة عن ضوابط التفكير الهجين والاستدلال المتداخل اللاحقة في Hermes 4.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">متاح في Ailoot · المدخلات والطرائق</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · محادثة OpenAI</b> <code>POST /v1/chat/completions</code></summary><dl class=\"method-capabilities\"><div><dt>الإدخال</dt><dd><code>text</code></dd></div><div><dt>الإخراج</dt><dd><code>text</code></dd></div><div><dt>صيغة الإخراج</dt><dd>json أو SSE</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>الحقل</th><th>النوع</th><th>المتطلب</th><th>القيم والحدود</th><th>القيمة الافتراضية</th></tr></thead><tbody><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>string</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>مطلوب</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div>nousresearch/hermes-3-llama-3.1-405b</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">messages</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>message[]</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>مطلوب</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div>الحد الأدنى للعناصر: ⁦1⁩</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">messages[].role</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>string</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>مطلوب</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div>أمثلة: system, user, assistant, tool, function</div><div>الشروط: تُمثَّل هذه الأدوار صراحةً بأنواع التوافق في الشيفرة المصدرية؛ وتظل مجموعة الأدوار الدقيقة خاصة بكل نموذج.</div><div class=\"note-s\">يعتمد على النموذج</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">messages[].content</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>string|content_part[]|null</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">messages[].tool_calls</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>tool_call[]</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">messages[].tool_call_id</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>string</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div>ينطبق عندما: role=tool؛ استخدم المعرّف الفعلي المُرجع</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">messages[].name</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>string</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">messages[].reasoning_content</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>string</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div>ينطبق عندما: أعِد تمرير الاستدلال الفعلي المُرجع حيث يستخدمه هذا النموذج</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">messages[].reasoning_details</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>object|array</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div class=\"note-s\">يعتمد على النموذج</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">max_tokens</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>integer</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div>الحد الأدنى: ⁦1⁩</div><div class=\"note-s\">يعتمد على النموذج</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">max_completion_tokens</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>integer</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div>الحد الأدنى: ⁦1⁩</div><div class=\"note-s\">يعتمد على النموذج</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">stream</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>boolean</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"known\"><span class=\"card-cell-label\">القيمة الافتراضية</span>false</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">stream_options.include_usage</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>boolean</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div class=\"note-s\">يعتمد على النموذج</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">temperature</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>number</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div class=\"note-s\">يعتمد على النموذج</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">top_p</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>number</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div class=\"note-s\">يعتمد على النموذج</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">stop</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>string|string[]</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div class=\"note-s\">يعتمد على النموذج</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">tools</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>function_tool[]</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div class=\"note-s\">يعتمد على النموذج</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">tools[].type</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>string</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div>function</div><div class=\"note-s\">يعتمد على النموذج</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">tools[].function.name</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>string</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>مطلوب</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div>ينطبق عندما: أداة دالة مقدّمة</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">tools[].function.description</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>string</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">tools[].function.parameters</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>JSON_schema</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">tool_choice</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>string|object</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div class=\"note-s\">يعتمد على النموذج</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">parallel_tool_calls</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>boolean</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div class=\"note-s\">يعتمد على النموذج</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">response_format</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>object</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div class=\"note-s\">يعتمد على النموذج</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">reasoning_effort</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>string</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div class=\"note-s\">يعتمد على النموذج</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">reasoning</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>object</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div class=\"note-s\">يعتمد على النموذج</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">service_tier</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>string</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div class=\"note-s\">يعتمد على النموذج</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"source_compatibility\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">instructions</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>string</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div class=\"note-s\">حقل للتوافق</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">functions</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>function[]</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div class=\"note-s\">يعتمد على النموذج</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">function_call</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>string|object</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div class=\"note-s\">يعتمد على النموذج</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">prompt_cache_options</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>object</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div class=\"note-s\">يعتمد على النموذج</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">modalities</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>string[]</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div>text</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">provider</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>object</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div>الشروط: يُرفَض provider.options في مسار Ultra النصي هذا</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">cache_control.ttl</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>string</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div>الشروط: تُرفَض 1h في المواضع الفعلية للتخزين المؤقت للموجّه</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr></tbody></table></div><details class=\"card-about\" data-material-combinations><summary>تركيبات مواد الإدخال</summary><p class=\"note-s\"><b>النص</b> · نص UTF8</p><p class=\"note-s\"><code>messages[].content</code></p></details><details class=\"note-s\" data-method-contract><summary>معلمات الطريقة ودورة حياتها</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>المعلمة</th><th>المواصفات</th></tr></thead><tbody><tr><th data-cell-label=\"المعلمة\" scope=\"row\"><span class=\"card-cell-label\">المعلمة</span><code>content_type</code></th><td data-cell-label=\"المواصفات\"><span class=\"card-cell-label\">المواصفات</span>application/json</td></tr><tr><th data-cell-label=\"المعلمة\" scope=\"row\"><span class=\"card-cell-label\">المعلمة</span><code>required</code></th><td data-cell-label=\"المواصفات\"><span class=\"card-cell-label\">المواصفات</span>model, messages</td></tr><tr><th data-cell-label=\"المعلمة\" scope=\"row\"><span class=\"card-cell-label\">المعلمة</span><code>material_types</code></th><td data-cell-label=\"المواصفات\"><span class=\"card-cell-label\">المواصفات</span>text</td></tr><tr><th data-cell-label=\"المعلمة\" scope=\"row\"><span class=\"card-cell-label\">المعلمة</span><code>messages</code></th><td data-cell-label=\"المواصفات\"><span class=\"card-cell-label\">المواصفات</span>مصفوفة رسائل ببنية role/content</td></tr><tr><th data-cell-label=\"المعلمة\" scope=\"row\"><span class=\"card-cell-label\">المعلمة</span><code>file_material</code></th><td data-cell-label=\"المواصفات\"><span class=\"card-cell-label\">المواصفات</span>مستند UTF-8 الفعلي مُدرج كنص حرفي؛ لا يُستنتَج معرّف ملف</td></tr><tr><th data-cell-label=\"المعلمة\" scope=\"row\"><span class=\"card-cell-label\">المعلمة</span><code>optional_controls</code></th><td data-cell-label=\"المواصفات\"><span class=\"card-cell-label\">المواصفات</span>stream, temperature, top_p, stop, max_tokens, max_completion_tokens, reasoning, response_format, tools, tool_choice</td></tr><tr><th data-cell-label=\"المعلمة\" scope=\"row\"><span class=\"card-cell-label\">المعلمة</span><code>control_scope</code></th><td data-cell-label=\"المواصفات\"><span class=\"card-cell-label\">المواصفات</span>خاص بالنموذج؛ أدوات الدوال التي يقدّمها المستخدم تختلف عن الأدوات المستضافة</td></tr><tr><th data-cell-label=\"المعلمة\" scope=\"row\"><span class=\"card-cell-label\">المعلمة</span><code>output_modalities</code></th><td data-cell-label=\"المواصفات\"><span class=\"card-cell-label\">المواصفات</span>text</td></tr><tr><th data-cell-label=\"المعلمة\" scope=\"row\"><span class=\"card-cell-label\">المعلمة</span><code>hosted_operations</code></th><td data-cell-label=\"المواصفات\"><span class=\"card-cell-label\">المواصفات</span>false</td></tr><tr><th data-cell-label=\"المعلمة\" scope=\"row\"><span class=\"card-cell-label\">المعلمة</span><code>multimodal_input_binding</code></th><td data-cell-label=\"المواصفات\"><span class=\"card-cell-label\">المواصفات</span>null</td></tr></tbody></table></div><p>دورة الحياة: <code>synchronous_or_streamed</code></p><p class=\"note-s\">أرسل معرّف النموذج الدقيق مع messages.</p><p class=\"note-s\">طول السياق ليس حدًا أقصى للإخراج.</p><p class=\"note-s\">يمكن لملف نصي تقديم نص حرفي؛ وتحتاج مدخلات الصور/الصوت/كائنات الملفات إلى ربط دقيق.</p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">الباقات</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>مراجع التسعير لا تضيف خيارات للطلب. المعلمات المدعومة مذكورة للطريقة المحددة.</p><dl data-price-conditions><dt>الوضع السريع</dt><dd>التعرفة القياسية <span class=\"note-s\">عند اختيار الوضع السريع</span></dd><dt>الوضع المرن</dt><dd>التعرفة القياسية <span class=\"note-s\">عند اختيار وضع flex</span></dd><dt>أقصى جهد للاستدلال</dt><dd>التعرفة القياسية <span class=\"note-s\">عندما يُطبَّق الضبط الافتراضي default مع أقصى جهد للاستدلال</span></dd></dl></div><div data-declared-tariff-pricing><h4>تعرفات Ailoot</h4><h4>الأسعار حسب الإعدادات</h4><p class=\"note-s\">طابق كل رسم مع الشروط المعروضة. طبّق تعرفة واحدة لكل مجموعة من الإعدادات البديلة.</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>الإعدادات</th><th>جدول التعرفة</th><th>رموز السياق، أكثر من</th><th>رموز السياق، حتى القيمة شاملةً</th><th>الرسوم</th></tr></thead><tbody><tr><th data-cell-label=\"الإعدادات\" scope=\"row\"><span class=\"card-cell-label\">الإعدادات</span>التعرفات الأساسية للرموز</th><td data-cell-label=\"جدول التعرفة\"><span class=\"card-cell-label\">جدول التعرفة</span>التعرفة الأساسية</td><td data-cell-label=\"رموز السياق، أكثر من\"><span class=\"card-cell-label\">رموز السياق، أكثر من</span>—</td><td data-cell-label=\"رموز السياق، حتى القيمة شاملةً\"><span class=\"card-cell-label\">رموز السياق، حتى القيمة شاملةً</span>لا يوجد حد أقصى</td><td data-cell-label=\"الرسوم\"><span class=\"card-cell-label\">الرسوم</span><div><span>الإدخال · رموز الإدخال</span> <b>$0.002</b> <span class=\"price-unit\">/ 1K من الرموز</span></div><div><span>الإخراج · رموز الإخراج</span> <b>$0.002</b> <span class=\"price-unit\">/ 1K من الرموز</span></div><div><span>الإدخال · قراءة ذاكرة التخزين المؤقت</span> <b>—</b> <span class=\"price-unit\">/ 1K من الرموز</span></div><div><span>الإدخال · الكتابة إلى ذاكرة التخزين المؤقت</span> <b>—</b> <span class=\"price-unit\">/ 1K من الرموز</span></div><div><span>الإدخال · الكتابة إلى ذاكرة التخزين المؤقت، 1 ساعة</span> <b>—</b> <span class=\"price-unit\">/ 1K من الرموز</span></div></td></tr><tr><th data-cell-label=\"الإعدادات\" scope=\"row\"><span class=\"card-cell-label\">الإعدادات</span>الشريحة 1 لطول الطلب</th><td data-cell-label=\"جدول التعرفة\"><span class=\"card-cell-label\">جدول التعرفة</span>—</td><td data-cell-label=\"رموز السياق، أكثر من\"><span class=\"card-cell-label\">رموز السياق، أكثر من</span>⁦0⁩</td><td data-cell-label=\"رموز السياق، حتى القيمة شاملةً\"><span class=\"card-cell-label\">رموز السياق، حتى القيمة شاملةً</span>لا يوجد حد أقصى</td><td data-cell-label=\"الرسوم\"><span class=\"card-cell-label\">الرسوم</span><div><span>الإدخال · رموز الإدخال</span> <b>$0.002</b> <span class=\"price-unit\">/ 1K من الرموز</span></div><div><span>الإخراج · رموز الإخراج</span> <b>$0.002</b> <span class=\"price-unit\">/ 1K من الرموز</span></div><div><span>الإدخال · قراءة ذاكرة التخزين المؤقت</span> <b>—</b> <span class=\"price-unit\">/ 1K من الرموز</span></div><div><span>الإدخال · الكتابة إلى ذاكرة التخزين المؤقت</span> <b>—</b> <span class=\"price-unit\">/ 1K من الرموز</span></div><div><span>الإدخال · الكتابة إلى ذاكرة التخزين المؤقت، 1 ساعة</span> <b>—</b> <span class=\"price-unit\">/ 1K من الرموز</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">تحجز Ailoot مبلغًا تقديريًا قبل الطلب. وبعد ظهور النتيجة، تُسوّي الرسوم النهائية بناءً على الاستخدام المقاس. وتستخدم تسوية البث سجل الاستخدام النهائي. <a href=\"/docs/ar/billing/reserve/\">كيفية عمل حجز المبلغ وتسوية الرسوم →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">أمثلة للطلبات</h3><h4>Ailoot Ultra · محادثة OpenAI</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"خيارات الشيفرة\"><button class=\"cg-tab\" id=\"model-code-1986-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1986-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl</button><button class=\"cg-tab\" id=\"model-code-1986-tab-1\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1986-panel-1\" aria-selected=\"false\" tabindex=\"-1\">Python SDK</button><button class=\"cg-tab\" id=\"model-code-1986-tab-2\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1986-panel-2\" aria-selected=\"false\" tabindex=\"-1\">البث باستخدام Python</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"نسخ الشيفرة\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-1986-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1986-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np=json.loads(&#39;{&quot;model&quot;: &quot;nousresearch/hermes-3-llama-3.1-405b&quot;, &quot;messages&quot;: [{&quot;role&quot;: &quot;user&quot;, &quot;content&quot;: &quot;Explain the difference between an observation and a hypothesis in three sentences.&quot;}]}&#39;)\n\nPath(&quot;request.json&quot;).write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - &lt;&lt;&#39;PY_RESULT&#39;\nimport json\nfrom pathlib import Path\nr=json.loads(Path(&quot;result.json&quot;).read_text())\nfor x in r.get(&quot;choices&quot;,[]):\n    if x.get(&quot;message&quot;,{}).get(&quot;content&quot;): print(x[&quot;message&quot;][&quot;content&quot;])\nPY_RESULT\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-1986-panel-1\" role=\"tabpanel\" aria-labelledby=\"model-code-1986-tab-1\" hidden><pre data-lang=\"python\"><code>from openai import OpenAI\nimport os\n\nif not os.environ.get(&quot;AILOOT_API_KEY&quot;, &quot;&quot;).strip(): raise SystemExit(&quot;Set AILOOT_API_KEY before making a request&quot;)\nclient=OpenAI(base_url=&quot;https://api.ailoot.ai/v1&quot;,api_key=os.environ[&quot;AILOOT_API_KEY&quot;],max_retries=0)\nresult=client.chat.completions.create(model=&#39;nousresearch/hermes-3-llama-3.1-405b&#39;,messages=[{&quot;role&quot;:&quot;user&quot;,&quot;content&quot;:&quot;Explain observations and hypotheses in three sentences.&quot;}])\nimport base64, json\nfrom pathlib import Path\n\ndef save_result(data, stem=&quot;result&quot;):\n    # Keep every field, including usage, IDs, reasoning and tool requests.\n    Path(stem + &quot;.json&quot;).write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding=&quot;utf-8&quot;)\n    print(json.dumps(data, ensure_ascii=False, indent=2))\n    def save_blob(encoded, suffix, label):\n        raw = base64.b64decode(encoded, altchars=b&quot;-_&quot;, validate=True)\n        ext = &quot;png&quot; if raw.startswith(b&quot;\\x89PNG\\r\\n\\x1a\\n&quot;) else &quot;jpg&quot; if raw.startswith(b&quot;\\xff\\xd8&quot;) else &quot;webp&quot; if raw[:4] == b&quot;RIFF&quot; and raw[8:12] == b&quot;WEBP&quot; else suffix\n        file = Path(stem + &quot;-&quot; + label + &quot;.&quot; + ext)\n        file.write_bytes(raw)\n        print(&quot;Saved&quot;, file)\n    for index, block in enumerate(data.get(&quot;content&quot;) or []):\n        print(&quot;Content&quot;, index, json.dumps(block, ensure_ascii=False))\n    for choice in data.get(&quot;choices&quot;) or []:\n        print(&quot;Choice&quot;, choice.get(&quot;index&quot;), json.dumps(choice.get(&quot;message&quot;, choice.get(&quot;delta&quot;, {})), ensure_ascii=False))\n    for index, item in enumerate(data.get(&quot;output&quot;) or []):\n        print(&quot;Output&quot;, index, json.dumps(item, ensure_ascii=False))\n        if item.get(&quot;type&quot;) == &quot;image_generation_call&quot; and item.get(&quot;result&quot;):\n            save_blob(item[&quot;result&quot;], item.get(&quot;output_format&quot;) or &quot;bin&quot;, &quot;output-&quot; + str(index))\n    for ci, candidate in enumerate(data.get(&quot;candidates&quot;) or []):\n        for pi, part in enumerate((candidate.get(&quot;content&quot;) or {}).get(&quot;parts&quot;) or []):\n            print(&quot;Candidate/part&quot;, ci, pi, json.dumps(part, ensure_ascii=False))\n            blob = part.get(&quot;inlineData&quot;) or part.get(&quot;inline_data&quot;)\n            if blob and blob.get(&quot;data&quot;):\n                mime = blob.get(&quot;mimeType&quot;) or blob.get(&quot;mime_type&quot;)\n                suffix = {&quot;image/png&quot;:&quot;png&quot;, &quot;image/jpeg&quot;:&quot;jpg&quot;, &quot;image/webp&quot;:&quot;webp&quot;, &quot;audio/wav&quot;:&quot;wav&quot;, &quot;audio/mpeg&quot;:&quot;mp3&quot;, &quot;video/mp4&quot;:&quot;mp4&quot;}.get(mime, &quot;bin&quot;)\n                save_blob(blob[&quot;data&quot;], suffix, &quot;candidate-&quot; + str(ci) + &quot;-part-&quot; + str(pi))\n\nsave_result(result.to_dict(mode=&quot;json&quot;))\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-1986-panel-2\" role=\"tabpanel\" aria-labelledby=\"model-code-1986-tab-2\" hidden><pre data-lang=\"python\"><code>from openai import OpenAI\nimport os\nfrom pathlib import Path\n\nif not os.environ.get(&quot;AILOOT_API_KEY&quot;, &quot;&quot;).strip(): raise SystemExit(&quot;Set AILOOT_API_KEY before making a request&quot;)\nclient=OpenAI(base_url=&quot;https://api.ailoot.ai/v1&quot;,api_key=os.environ[&quot;AILOOT_API_KEY&quot;],max_retries=0)\nimport base64, json\nfrom pathlib import Path\n\ndef save_result(data, stem=&quot;result&quot;):\n    # Keep every field, including usage, IDs, reasoning and tool requests.\n    Path(stem + &quot;.json&quot;).write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding=&quot;utf-8&quot;)\n    print(json.dumps(data, ensure_ascii=False, indent=2))\n    def save_blob(encoded, suffix, label):\n        raw = base64.b64decode(encoded, altchars=b&quot;-_&quot;, validate=True)\n        ext = &quot;png&quot; if raw.startswith(b&quot;\\x89PNG\\r\\n\\x1a\\n&quot;) else &quot;jpg&quot; if raw.startswith(b&quot;\\xff\\xd8&quot;) else &quot;webp&quot; if raw[:4] == b&quot;RIFF&quot; and raw[8:12] == b&quot;WEBP&quot; else suffix\n        file = Path(stem + &quot;-&quot; + label + &quot;.&quot; + ext)\n        file.write_bytes(raw)\n        print(&quot;Saved&quot;, file)\n    for index, block in enumerate(data.get(&quot;content&quot;) or []):\n        print(&quot;Content&quot;, index, json.dumps(block, ensure_ascii=False))\n    for choice in data.get(&quot;choices&quot;) or []:\n        print(&quot;Choice&quot;, choice.get(&quot;index&quot;), json.dumps(choice.get(&quot;message&quot;, choice.get(&quot;delta&quot;, {})), ensure_ascii=False))\n    for index, item in enumerate(data.get(&quot;output&quot;) or []):\n        print(&quot;Output&quot;, index, json.dumps(item, ensure_ascii=False))\n        if item.get(&quot;type&quot;) == &quot;image_generation_call&quot; and item.get(&quot;result&quot;):\n            save_blob(item[&quot;result&quot;], item.get(&quot;output_format&quot;) or &quot;bin&quot;, &quot;output-&quot; + str(index))\n    for ci, candidate in enumerate(data.get(&quot;candidates&quot;) or []):\n        for pi, part in enumerate((candidate.get(&quot;content&quot;) or {}).get(&quot;parts&quot;) or []):\n            print(&quot;Candidate/part&quot;, ci, pi, json.dumps(part, ensure_ascii=False))\n            blob = part.get(&quot;inlineData&quot;) or part.get(&quot;inline_data&quot;)\n            if blob and blob.get(&quot;data&quot;):\n                mime = blob.get(&quot;mimeType&quot;) or blob.get(&quot;mime_type&quot;)\n                suffix = {&quot;image/png&quot;:&quot;png&quot;, &quot;image/jpeg&quot;:&quot;jpg&quot;, &quot;image/webp&quot;:&quot;webp&quot;, &quot;audio/wav&quot;:&quot;wav&quot;, &quot;audio/mpeg&quot;:&quot;mp3&quot;, &quot;video/mp4&quot;:&quot;mp4&quot;}.get(mime, &quot;bin&quot;)\n                save_blob(blob[&quot;data&quot;], suffix, &quot;candidate-&quot; + str(ci) + &quot;-part-&quot; + str(pi))\n\nwith client.chat.completions.stream(model=&#39;nousresearch/hermes-3-llama-3.1-405b&#39;,messages=[{&quot;role&quot;:&quot;user&quot;,&quot;content&quot;:&quot;Explain observations and hypotheses in three sentences.&quot;}]) as stream:\n    with Path(&quot;stream-events.jsonl&quot;).open(&quot;w&quot;,encoding=&quot;utf-8&quot;) as log:\n        for event in stream:\n            payload=event.to_dict(mode=&quot;json&quot;)\n            log.write(json.dumps(payload,ensure_ascii=False)+&quot;\\n&quot;); log.flush()\n            print(json.dumps(payload,ensure_ascii=False))\n    final=stream.get_final_completion()\n    save_result(final.to_dict(mode=&quot;json&quot;),&quot;stream-result&quot;)\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">استلام النتائج وحفظها</h3><h4>Ailoot Ultra · محادثة OpenAI</h4><p class=\"note-s\">json أو SSE</p><div class=\"card-result-process\" data-all-results><h5>الاحتفاظ بكل النتائج المكتملة</h5><p class=\"note-s\">احتفظ بكل استجابة كاملة وكل ملف وجزء محتوى تم إرجاعه.</p><p class=\"note-s\">احتفظ بكل اختيار ومحتواه واستدعاءات أدواته واستدلاله. في SSE، جمّع التحديثات بحسب فهرس الاختيار/الأداة، واحتفظ بسبب الإنهاء النهائي والاستخدام.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>عند الحاجة إلى التحقق من الاستجابة الأصلية</h5><p class=\"note-s\">احتفظ بمعرّفات الطلبات/الاستجابات والترويسات. لا يُقدَّم URL عام لاسترجاع مهمة نصية.</p></div><details class=\"card-about\" data-output-fields><summary>حقول الاستجابة</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>الحقل</th><th>النوع</th></tr></thead><tbody><tr><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">choices[].index</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span>integer</td></tr><tr><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">choices[].message.content</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span>string|null</td></tr><tr><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">choices[].message.tool_calls</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span>tool_call[]</td></tr><tr><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">choices[].message.reasoning_content</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span>string</td></tr><tr><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">choices[].message.reasoning_details</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span>object|array</td></tr><tr><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">choices[].finish_reason</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span>string|null</td></tr><tr><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">usage</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span>object</td></tr></tbody></table></div></details><details class=\"card-about\" data-method-errors><summary>الأخطاء والخطوات التالية</summary><div class=\"tw\" data-card-table=\"errors\"><table><thead><tr><th>الاستجابة</th><th>الشرط</th><th>الخطوة التالية</th></tr></thead><tbody><tr><th data-cell-label=\"الاستجابة\" scope=\"row\"><span class=\"card-cell-label\">الاستجابة</span>⁦400⁩ · <code>invalid_request_error</code></th><td data-cell-label=\"الشرط\"><span class=\"card-cell-label\">الشرط</span>حقول مطلوبة أو تمثيل مادة أو قيمة معلمة غير صحيحة</td><td data-cell-label=\"الخطوة التالية\"><span class=\"card-cell-label\">الخطوة التالية</span>صحّح الحقول المحددة قبل طلب إنشاء جديد.</td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">الأسماء البديلة</h3><h4>الأسماء البديلة للنموذج</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=nousresearch%2Fhermes-3-llama-3.1-405b&amp;route=Ultra&amp;caller=nousresearch%2Fhermes-3-llama-3.1-405b&amp;fmt=chat\"><code>nousresearch/hermes-3-llama-3.1-405b</code></a></span></p><h4>الأسماء البديلة لمسارات الطرائق</h4><p class=\"note-s\">استخدم مسارات الطرائق المعروضة أعلاه.</p><h4>معرّفات النماذج ذات الصلة IDs</h4><p class=\"note-s\"><a href=\"#m=nousresearch%2Fhermes-3-llama-3.1-405b&amp;route=Ultra&amp;caller=nousresearch%2Fhermes-3-llama-3.1-405b&amp;fmt=chat\"><code>nousresearch/hermes-3-llama-3.1-405b</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "nousresearch/hermes-3-llama-3.1-405b",
        "fmt": "chat",
        "http": "POST",
        "path": "/v1/chat/completions",
        "request_model_id": "nousresearch/hermes-3-llama-3.1-405b",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|chat|/v1/chat/completions|nousresearch%2Fhermes-3-llama-3.1-405b",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Keep every choice and its content/tool calls/reasoning. In SSE assemble deltas by choice/tool index, retain the final finish reason and usage.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "errors": [
              {
                "code": null,
                "condition": "حقول مطلوبة أو تمثيل مادة أو قيمة معلمة غير صحيحة",
                "http_status": 400,
                "recovery": "صحّح الحقول المحددة قبل طلب إنشاء جديد.",
                "type": "invalid_request_error"
              }
            ],
            "hints": [
              "Model context is not an output cap.",
              "A model-dependent field needs the exact published model profile; unspecified defaults/enums are not guessed.",
              "Tool calls propose actions; the client application returns actual observations with the returned call ID.",
              "Guarded canonical keys must occur once; duplicate or case-varied model/tools/cap fields are rejected."
            ],
            "ignored_fields": [],
            "lifecycle": {
              "create": {
                "http": "POST",
                "path": "/v1/chat/completions"
              },
              "job_read": null,
              "mode": "synchronous_or_streamed",
              "unknown": "احتفظ بمعرّفات الطلبات/الاستجابات والترويسات. لا يُقدَّم URL عام لاسترجاع مهمة نصية."
            },
            "material_combinations": [
              {
                "mode": "text",
                "representation": "messages[].content",
                "required_material": "نص UTF8"
              }
            ],
            "operation_modes": [
              "conversation",
              "function_tool_continuation",
              "streaming"
            ],
            "outputs": {
              "all_results": "احتفظ بكل اختيار ومحتواه واستدعاءات أدواته واستدلاله. في SSE، جمّع التحديثات بحسب فهرس الاختيار/الأداة، واحتفظ بسبب الإنهاء النهائي والاستخدام.",
              "family": "text",
              "fields": [
                {
                  "description": null,
                  "name": "choices[].index",
                  "type": "integer"
                },
                {
                  "description": null,
                  "name": "choices[].message.content",
                  "type": "string|null"
                },
                {
                  "description": null,
                  "name": "choices[].message.tool_calls",
                  "type": "tool_call[]"
                },
                {
                  "description": null,
                  "name": "choices[].message.reasoning_content",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "choices[].message.reasoning_details",
                  "type": "object|array"
                },
                {
                  "description": null,
                  "name": "choices[].finish_reason",
                  "type": "string|null"
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": "object"
                }
              ],
              "format": "json أو SSE"
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "nousresearch/hermes-3-llama-3.1-405b"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "min_items": 1,
                "name": "messages",
                "required": true,
                "type": "message[]"
              },
              {
                "availability": "model_dependent",
                "conditions": "تُمثَّل هذه الأدوار صراحةً بأنواع التوافق في الشيفرة المصدرية؛ وتظل مجموعة الأدوار الدقيقة خاصة بكل نموذج.",
                "default": null,
                "default_known": false,
                "enum": [
                  "system",
                  "user",
                  "assistant",
                  "tool",
                  "function"
                ],
                "enum_exhaustive": false,
                "enum_known": true,
                "name": "messages[].role",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].content",
                "required": false,
                "type": "string|content_part[]|null"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].tool_calls",
                "required": false,
                "type": "tool_call[]"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].tool_call_id",
                "required": false,
                "type": "string",
                "when": "role=tool؛ استخدم المعرّف الفعلي المُرجع"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].name",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].reasoning_content",
                "required": false,
                "type": "string",
                "when": "أعِد تمرير الاستدلال الفعلي المُرجع حيث يستخدمه هذا النموذج"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].reasoning_details",
                "required": false,
                "type": "object|array"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "minimum": 1,
                "name": "max_tokens",
                "required": false,
                "type": "integer"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "minimum": 1,
                "name": "max_completion_tokens",
                "required": false,
                "type": "integer"
              },
              {
                "availability": "source_interface",
                "default": false,
                "default_known": true,
                "enum": null,
                "enum_known": false,
                "name": "stream",
                "required": false,
                "type": "boolean"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "stream_options.include_usage",
                "required": false,
                "type": "boolean"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "temperature",
                "required": false,
                "type": "number"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "top_p",
                "required": false,
                "type": "number"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "stop",
                "required": false,
                "type": "string|string[]"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "tools",
                "required": false,
                "type": "function_tool[]"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": [
                  "function"
                ],
                "enum_known": true,
                "name": "tools[].type",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "tools[].function.name",
                "required": true,
                "type": "string",
                "when": "أداة دالة مقدّمة"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "tools[].function.description",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "tools[].function.parameters",
                "required": false,
                "type": "JSON_schema"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "tool_choice",
                "required": false,
                "type": "string|object"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "parallel_tool_calls",
                "required": false,
                "type": "boolean"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "response_format",
                "required": false,
                "type": "object"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "reasoning_effort",
                "required": false,
                "type": "string"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "reasoning",
                "required": false,
                "type": "object"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "service_tier",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_compatibility",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "instructions",
                "required": false,
                "type": "string"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "functions",
                "required": false,
                "type": "function[]"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "function_call",
                "required": false,
                "type": "string|object"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "prompt_cache_options",
                "required": false,
                "type": "object"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "text"
                ],
                "enum_known": true,
                "name": "modalities",
                "required": false,
                "type": "string[]"
              },
              {
                "availability": "source_interface",
                "conditions": "يُرفَض provider.options في مسار Ultra النصي هذا",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "provider",
                "required": false,
                "type": "object"
              },
              {
                "availability": "source_interface",
                "conditions": "تُرفَض 1h في المواضع الفعلية للتخزين المؤقت للموجّه",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "cache_control.ttl",
                "required": false,
                "type": "string"
              }
            ],
            "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.",
            "unsupported": [
              "additional models/models list",
              "plugins",
              "route",
              "hosted tools; ordinary client function tools remain separate",
              "non-text output modalities",
              "provider.options overrides",
              "one-hour prompt-cache TTL"
            ]
          },
          "hints": [
            "أرسل معرّف النموذج الدقيق مع messages.",
            "طول السياق ليس حدًا أقصى للإخراج.",
            "يمكن لملف نصي تقديم نص حرفي؛ وتحتاج مدخلات الصور/الصوت/كائنات الملفات إلى ربط دقيق."
          ],
          "input": {
            "content_type": "application/json",
            "control_scope": "خاص بالنموذج؛ أدوات الدوال التي يقدّمها المستخدم تختلف عن الأدوات المستضافة",
            "file_material": "مستند UTF-8 الفعلي مُدرج كنص حرفي؛ لا يُستنتَج معرّف ملف",
            "hosted_operations": false,
            "material_types": [
              "text"
            ],
            "messages": "مصفوفة رسائل ببنية role/content",
            "multimodal_input_binding": null,
            "optional_controls": [
              "stream",
              "temperature",
              "top_p",
              "stop",
              "max_tokens",
              "max_completion_tokens",
              "reasoning",
              "response_format",
              "tools",
              "tool_choice"
            ],
            "output_modalities": [
              "text"
            ],
            "required": [
              "model",
              "messages"
            ]
          },
          "lifecycle": {
            "mode": "synchronous_or_streamed",
            "unknown": "preserve original request id; no generic chat job retrieval path"
          },
          "manufacturer_capability": null,
          "method": {
            "http": "POST",
            "path": "/v1/chat/completions"
          },
          "method_aliases": [],
          "operation_modes": [
            "text_chat"
          ],
          "output": {
            "content": "choices[].message.content or stream delta",
            "family": "text",
            "format": "json or supported SSE",
            "tool_calls": "retain actual returned function calls"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "التعرفات الأساسية للرموز",
            "units": [
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "max_context_tokens_inclusive": null,
              "min_context_tokens_exclusive": 0
            },
            "label": "الشريحة 1 لطول الطلب",
            "units": [
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"nousresearch/hermes-3-llama-3.1-405b\", \"messages\": [{\"role\": \"user\", \"content\": \"Explain the difference between an observation and a hypothesis in three sentences.\"}]}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nr=json.loads(Path(\"result.json\").read_text())\nfor x in r.get(\"choices\",[]):\n    if x.get(\"message\",{}).get(\"content\"): print(x[\"message\"][\"content\"])\nPY_RESULT\n",
            "label": "curl · retained exact creation",
            "language": "bash"
          },
          {
            "code": "from openai import OpenAI\nimport os\n\nif not os.environ.get(\"AILOOT_API_KEY\", \"\").strip(): raise SystemExit(\"Set AILOOT_API_KEY before making a request\")\nclient=OpenAI(base_url=\"https://api.ailoot.ai/v1\",api_key=os.environ[\"AILOOT_API_KEY\"],max_retries=0)\nresult=client.chat.completions.create(model='nousresearch/hermes-3-llama-3.1-405b',messages=[{\"role\":\"user\",\"content\":\"Explain observations and hypotheses in three sentences.\"}])\nimport base64, json\nfrom pathlib import Path\n\ndef save_result(data, stem=\"result\"):\n    # Keep every field, including usage, IDs, reasoning and tool requests.\n    Path(stem + \".json\").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding=\"utf-8\")\n    print(json.dumps(data, ensure_ascii=False, indent=2))\n    def save_blob(encoded, suffix, label):\n        raw = base64.b64decode(encoded, altchars=b\"-_\", validate=True)\n        ext = \"png\" if raw.startswith(b\"\\x89PNG\\r\\n\\x1a\\n\") else \"jpg\" if raw.startswith(b\"\\xff\\xd8\") else \"webp\" if raw[:4] == b\"RIFF\" and raw[8:12] == b\"WEBP\" else suffix\n        file = Path(stem + \"-\" + label + \".\" + ext)\n        file.write_bytes(raw)\n        print(\"Saved\", file)\n    for index, block in enumerate(data.get(\"content\") or []):\n        print(\"Content\", index, json.dumps(block, ensure_ascii=False))\n    for choice in data.get(\"choices\") or []:\n        print(\"Choice\", choice.get(\"index\"), json.dumps(choice.get(\"message\", choice.get(\"delta\", {})), ensure_ascii=False))\n    for index, item in enumerate(data.get(\"output\") or []):\n        print(\"Output\", index, json.dumps(item, ensure_ascii=False))\n        if item.get(\"type\") == \"image_generation_call\" and item.get(\"result\"):\n            save_blob(item[\"result\"], item.get(\"output_format\") or \"bin\", \"output-\" + str(index))\n    for ci, candidate in enumerate(data.get(\"candidates\") or []):\n        for pi, part in enumerate((candidate.get(\"content\") or {}).get(\"parts\") or []):\n            print(\"Candidate/part\", ci, pi, json.dumps(part, ensure_ascii=False))\n            blob = part.get(\"inlineData\") or part.get(\"inline_data\")\n            if blob and blob.get(\"data\"):\n                mime = blob.get(\"mimeType\") or blob.get(\"mime_type\")\n                suffix = {\"image/png\":\"png\", \"image/jpeg\":\"jpg\", \"image/webp\":\"webp\", \"audio/wav\":\"wav\", \"audio/mpeg\":\"mp3\", \"video/mp4\":\"mp4\"}.get(mime, \"bin\")\n                save_blob(blob[\"data\"], suffix, \"candidate-\" + str(ci) + \"-part-\" + str(pi))\n\nsave_result(result.to_dict(mode=\"json\"))\n",
            "label": "Python SDK · all choices",
            "language": "python"
          },
          {
            "code": "from openai import OpenAI\nimport os\nfrom pathlib import Path\n\nif not os.environ.get(\"AILOOT_API_KEY\", \"\").strip(): raise SystemExit(\"Set AILOOT_API_KEY before making a request\")\nclient=OpenAI(base_url=\"https://api.ailoot.ai/v1\",api_key=os.environ[\"AILOOT_API_KEY\"],max_retries=0)\nimport base64, json\nfrom pathlib import Path\n\ndef save_result(data, stem=\"result\"):\n    # Keep every field, including usage, IDs, reasoning and tool requests.\n    Path(stem + \".json\").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding=\"utf-8\")\n    print(json.dumps(data, ensure_ascii=False, indent=2))\n    def save_blob(encoded, suffix, label):\n        raw = base64.b64decode(encoded, altchars=b\"-_\", validate=True)\n        ext = \"png\" if raw.startswith(b\"\\x89PNG\\r\\n\\x1a\\n\") else \"jpg\" if raw.startswith(b\"\\xff\\xd8\") else \"webp\" if raw[:4] == b\"RIFF\" and raw[8:12] == b\"WEBP\" else suffix\n        file = Path(stem + \"-\" + label + \".\" + ext)\n        file.write_bytes(raw)\n        print(\"Saved\", file)\n    for index, block in enumerate(data.get(\"content\") or []):\n        print(\"Content\", index, json.dumps(block, ensure_ascii=False))\n    for choice in data.get(\"choices\") or []:\n        print(\"Choice\", choice.get(\"index\"), json.dumps(choice.get(\"message\", choice.get(\"delta\", {})), ensure_ascii=False))\n    for index, item in enumerate(data.get(\"output\") or []):\n        print(\"Output\", index, json.dumps(item, ensure_ascii=False))\n        if item.get(\"type\") == \"image_generation_call\" and item.get(\"result\"):\n            save_blob(item[\"result\"], item.get(\"output_format\") or \"bin\", \"output-\" + str(index))\n    for ci, candidate in enumerate(data.get(\"candidates\") or []):\n        for pi, part in enumerate((candidate.get(\"content\") or {}).get(\"parts\") or []):\n            print(\"Candidate/part\", ci, pi, json.dumps(part, ensure_ascii=False))\n            blob = part.get(\"inlineData\") or part.get(\"inline_data\")\n            if blob and blob.get(\"data\"):\n                mime = blob.get(\"mimeType\") or blob.get(\"mime_type\")\n                suffix = {\"image/png\":\"png\", \"image/jpeg\":\"jpg\", \"image/webp\":\"webp\", \"audio/wav\":\"wav\", \"audio/mpeg\":\"mp3\", \"video/mp4\":\"mp4\"}.get(mime, \"bin\")\n                save_blob(blob[\"data\"], suffix, \"candidate-\" + str(ci) + \"-part-\" + str(pi))\n\nwith client.chat.completions.stream(model='nousresearch/hermes-3-llama-3.1-405b',messages=[{\"role\":\"user\",\"content\":\"Explain observations and hypotheses in three sentences.\"}]) as stream:\n    with Path(\"stream-events.jsonl\").open(\"w\",encoding=\"utf-8\") as log:\n        for event in stream:\n            payload=event.to_dict(mode=\"json\")\n            log.write(json.dumps(payload,ensure_ascii=False)+\"\\n\"); log.flush()\n            print(json.dumps(payload,ensure_ascii=False))\n    final=stream.get_final_completion()\n    save_result(final.to_dict(mode=\"json\"),\"stream-result\")\n",
            "label": "Python SDK streaming · all events",
            "language": "python"
          }
        ],
        "family": "openai",
        "fast_multiplier": 1,
        "flex_multiplier": 1,
        "fmt": "chat",
        "hints": [
          "Send exact model ID with messages.",
          "Context length is not an output cap.",
          "A text file may supply literal text; image/audio/file-object inputs need exact binding."
        ],
        "http": "POST",
        "in": 2,
        "input": [
          "text"
        ],
        "label": "محادثة OpenAI",
        "max_out": null,
        "max_reasoning_effort_multiplier": 1,
        "method_aliases": [],
        "out": 2,
        "output": [
          "text"
        ],
        "path": "/v1/chat/completions",
        "price_conditions": [
          {
            "label": "الوضع السريع",
            "value": "التعرفة القياسية",
            "when": "عند اختيار الوضع السريع"
          },
          {
            "label": "الوضع المرن",
            "value": "التعرفة القياسية",
            "when": "عند اختيار وضع flex"
          },
          {
            "label": "أقصى جهد للاستدلال",
            "value": "التعرفة القياسية",
            "when": "عندما يُطبَّق الضبط الافتراضي default مع أقصى جهد للاستدلال"
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    {
      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">Nous: Hermes 3 405B Instruct</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"إغلاق\">×</button></div><div class=\"idline\"><span>Nous /</span><code>nousresearch/hermes-3-llama-3.1-405b</code><button type=\"button\" id=\"copy-id\">نسخ ID</button></div><nav class=\"card-jump-nav\" aria-label=\"أقسام بطاقة النموذج\"><button type=\"button\" data-card-jump=\"overview\">البداية</button><button type=\"button\" data-card-jump=\"methods\">المدخلات والطرائق</button><button type=\"button\" data-card-jump=\"pricing\">الباقات</button><button type=\"button\" data-card-jump=\"examples\">أمثلة</button><button type=\"button\" data-card-jump=\"results\">النتائج</button><button type=\"button\" data-card-jump=\"aliases\">الأسماء البديلة</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"طرائق API\"><button type=\"button\" role=\"tab\" tabindex=\"-1\" aria-controls=\"card-method-content\" aria-selected=\"false\" id=\"card-method-tab-0\" data-card-method=\"Ultra|chat|/v1/chat/completions|nousresearch%2Fhermes-3-llama-3.1-405b\">Chat</button><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-1\" data-card-method=\"Ultra|messages|/v1/messages|nousresearch%2Fhermes-3-llama-3.1-405b\">Messages</button></div><div id=\"card-method-content\" role=\"tabpanel\" aria-labelledby=\"card-method-tab-1\"><section class=\"card-section\" data-card-section=\"overview\"><h3 tabindex=\"-1\">البداية</h3><p class=\"mdesc-full\">Hermes 3 Llama 3.1 405B هو نموذج نصي عام من Nous Research بحجم 405B ضُبط بدقة على كامل المعلمات. تدعم محادثته القابلة للتوجيه عبر ChatML وJSON الموجّه بالمخططات وتنسيق استدعاء الدوال تحليل المصادر والكتابة والشيفرة والعمل متعدد الخطوات باستخدام الملاحظات التي تعيدها أدوات التطبيق.</p><dl class=\"card-io\" data-card-io><div><dt>المدخلات المقبولة</dt><dd>النص</dd></div><div><dt>النتائج</dt><dd>json · sse</dd></div></dl><details class=\"card-about\"><summary>عن النموذج</summary><p class=\"note-s\" data-model-method-boundary>يغطي هذا الوصف قدرات النموذج. وترد أدناه المدخلات والمخرجات والخيارات المتاحة في Ailoot للطريقة المحددة.</p><div class=\"mabout\" id=\"m-about\"><p>Hermes 3 Llama 3.1 405B هو نموذج نصي عام كبير من Nous Research، طُوّر بضبط دقيق لكامل معلمات Llama 3.1 405B. تؤكد الشركة المطوّرة التوافق مع تعليمات المستخدم وقابلية التوجيه وتقمّص الأدوار والاستدلال والمحادثة متعددة الأدوار والتماسك عبر السياق الطويل. المخرج نصي، يشمل الإجابات والمحتوى المكتوب والشيفرة والسجلات المنظّمة ومعلومات استدعاء الدوال.</p><h4>إصدار 405B</h4><p>هذا هو متغيّر Hermes 3 الكبير، المنفصل عن نظيره 70B وعن إصدار الاستدلال اللاحق Hermes 4. توسّع الشركة المصنّعة قدرات Hermes السابقة بتحسين استدعاء الدوال والمخرجات المنظّمة وتوليد الشيفرة. امنح المهمة أدلتها الفعلية وشكلها النهائي المطلوب بدلًا من افتراض أن حجم النموذج يوفّر المصادر المفقودة أو معيار الإكمال.</p><p>لتحليل مستندات، ضع تسميات للمقاطع وحدّد معايير المقارنة. اطلب المصدر ذا الصلة بجانب كل استنتاج وحدّد كيفية التعامل مع المعلومات الغائبة. ولتكليف كتابة، قدّم الجمهور والنبرة والحقائق التي يجب أن تبقى بعد المراجعة. موجّه عملي هو: «أعد كتابة هذا الشرح للقارئ المحدّد، وحافظ على المصطلحات المعرّفة، وحدّد أي ادعاء غير مدعوم يحتاج إلى توضيح».</p><h4>تنسيق الموجّه والحوار</h4><p>يستخدم Hermes 3 تنسيق ChatML لفصل تعليمات النظام ورسائل المستخدم وردود المساعد. يستطيع قالبه الخاص إنشاء المحادثة وإلحاق بادئة توليد المساعد. توجّه تعليمات النظام الدور والقواعد والأسلوب؛ وهي اختيارية حين لا تتطلب المهمة تمهيدًا خاصًا.</p><p>ينبغي لمحادثة مستمرة إبقاء نص المصدر منفصلًا عن التعليمات والحفاظ على الحقائق المقبولة ضمن السياق ذي الصلة. لتقمّص الأدوار، حدّد من يتحكم في كل شخصية والأحداث المستقرّة. وللشيفرة، اذكر السلوك الذي يتغيّر والتعاقدات التي تبقى سليمة. ينبغي أن يظل المُنتَج المرغوب ظاهرًا طوال الحوار.</p><h4>الدوال والملاحظات المصدرية</h4><p>توثّق بطاقة النموذج المحدّد توقيعات الدوال داخل تمثيل تعريف الأدوات الخاص به ومخطط استجابة مطلوبًا لاسم الدالة والوسائط. يولّد النموذج كائنات استدعاء JSON موسومة. يحلّل التطبيق العملية المختارة وينفّذها، ثم يعيد نتيجتها في استجابة أداة مسمّاة. تستطيع إجابة المساعد التالية شرح البيانات الفعلية.</p><p>امنح كل دالة غرضًا واضحًا وأوصاف معلمات دقيقة. لا تجعل بحثًا مقترحًا يقوم مقام مصدر معاد. أبقِ الملاحظة مرتبطة بالعملية المختارة حتى يحدّد الاستنتاج النهائي ما يدعمه. وتظل الشيفرة المُولَّدة كذلك اقتراحًا إلى أن تُفحص وتُشغَّل في البيئة المقصودة.</p><h4>نتائج JSON والسياق والدقة العددية</h4><p>يُدرَّب وضع JSON في Hermes 3 بتعليمة نظام تحتوي المخطط المرغوب وتطلب كائن JSON كإجابة. عرّف الحقول وكيفية تمثيل قيم المصدر المفقودة أو المتعارضة. تحقّق من البنية وراجع الحقائق حتى حين يتبع الكائن المخطط.</p><p>تضبط الإعدادات المنشورة max_position_embeddings على 131٬072. وزّع ميزانية التعليمات والمستندات والسجل ونتائج الأدوات والاستجابة معًا؛ فهذا الحقل لا يثبت سقفًا عامًا منفصلًا للمخرجات. للنموذج الكامل لدى الشركة المنتجة والمتغيّرات المكمّمة المنشورة على نحو منفصل هويات خاصة من حيث الدقة العددية، لذا ينبغي عدم إحلال تلك المتغيّرات محل متغيّر 405B المسمّى بصمت.</p><p>المُنتَج المفيد مُنتَج نصي أو برمجي واضح الافتراضات والصلات بالمصادر. راجعه بمقارنته بالمتطلبات المقدّمة والملاحظات الفعلية. تظل مسارات ChatML واستدعاء الدوال وJSON في Hermes 3 منفصلة عن ضوابط التفكير الهجين والاستدلال المتداخل اللاحقة في Hermes 4.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">متاح في Ailoot · المدخلات والطرائق</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · رسائل Anthropic</b> <code>POST /v1/messages</code></summary><dl class=\"method-capabilities\"><div><dt>الإدخال</dt><dd><code>text</code></dd></div><div><dt>الإخراج</dt><dd><code>json</code>, <code>sse</code></dd></div><div><dt>صيغة الإخراج</dt><dd>JSON أو SSE</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>الحقل</th><th>النوع</th><th>المتطلب</th><th>القيم والحدود</th><th>القيمة الافتراضية</th></tr></thead><tbody><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>string</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>مطلوب</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div>nousresearch/hermes-3-llama-3.1-405b</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">messages</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>message[]</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>مطلوب</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">messages[].role</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>string</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>مطلوب</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span><div>user, assistant</div></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">messages[].content</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>string</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>مطلوب</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">max_tokens</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>integer</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>مطلوب</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"unspecified\"><span class=\"card-cell-label\">القيمة الافتراضية</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">stream</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span><code>boolean</code></td><td data-cell-label=\"المتطلب\"><span class=\"card-cell-label\">المتطلب</span>اختياري</td><td data-cell-label=\"القيم والحدود\"><span class=\"card-cell-label\">القيم والحدود</span></td><td data-cell-label=\"القيمة الافتراضية\" data-default=\"known\"><span class=\"card-cell-label\">القيمة الافتراضية</span>false</td></tr></tbody></table></div><details class=\"card-about\" data-material-combinations><summary>تركيبات مواد الإدخال</summary><p class=\"note-s\"><b>النص</b> · نص UTF-8</p><p class=\"note-s\"><code>سلسلة نصية messages[].content</code></p></details><details class=\"note-s\" data-method-contract><summary>معلمات الطريقة ودورة حياتها</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>المعلمة</th><th>المواصفات</th></tr></thead><tbody><tr><th data-cell-label=\"المعلمة\" scope=\"row\"><span class=\"card-cell-label\">المعلمة</span><code>content_type</code></th><td data-cell-label=\"المواصفات\"><span class=\"card-cell-label\">المواصفات</span>application/json</td></tr><tr><th data-cell-label=\"المعلمة\" scope=\"row\"><span class=\"card-cell-label\">المعلمة</span><code>required</code></th><td data-cell-label=\"المواصفات\"><span class=\"card-cell-label\">المواصفات</span>model, messages, max_tokens</td></tr><tr><th data-cell-label=\"المعلمة\" scope=\"row\"><span class=\"card-cell-label\">المعلمة</span><code>optional_controls</code></th><td data-cell-label=\"المواصفات\"><span class=\"card-cell-label\">المواصفات</span>stream</td></tr><tr><th data-cell-label=\"المعلمة\" scope=\"row\"><span class=\"card-cell-label\">المعلمة</span><code>material_types</code></th><td data-cell-label=\"المواصفات\"><span class=\"card-cell-label\">المواصفات</span>text</td></tr><tr><th data-cell-label=\"المعلمة\" scope=\"row\"><span class=\"card-cell-label\">المعلمة</span><code>text_file_material</code></th><td data-cell-label=\"المواصفات\"><span class=\"card-cell-label\">المواصفات</span>اقرأ مستند UTF-8 الفعلي وضع نصه في الإدخال المحدد أو السلسلة النصية لمحتوى الرسالة.</td></tr></tbody></table></div><p>دورة الحياة: <code>synchronous_or_streamed</code></p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">الباقات</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>مراجع التسعير لا تضيف خيارات للطلب. المعلمات المدعومة مذكورة للطريقة المحددة.</p><dl data-price-conditions><dt>الوضع السريع</dt><dd>التعرفة القياسية <span class=\"note-s\">عند اختيار الوضع السريع</span></dd><dt>الوضع المرن</dt><dd>التعرفة القياسية <span class=\"note-s\">عند اختيار وضع flex</span></dd><dt>أقصى جهد للاستدلال</dt><dd>التعرفة القياسية <span class=\"note-s\">عندما يُطبَّق الضبط الافتراضي default مع أقصى جهد للاستدلال</span></dd></dl></div><div data-declared-tariff-pricing><h4>تعرفات Ailoot</h4><h4>الأسعار حسب الإعدادات</h4><p class=\"note-s\">طابق كل رسم مع الشروط المعروضة. طبّق تعرفة واحدة لكل مجموعة من الإعدادات البديلة.</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>الإعدادات</th><th>جدول التعرفة</th><th>رموز السياق، أكثر من</th><th>رموز السياق، حتى القيمة شاملةً</th><th>الرسوم</th></tr></thead><tbody><tr><th data-cell-label=\"الإعدادات\" scope=\"row\"><span class=\"card-cell-label\">الإعدادات</span>التعرفات الأساسية للرموز</th><td data-cell-label=\"جدول التعرفة\"><span class=\"card-cell-label\">جدول التعرفة</span>التعرفة الأساسية</td><td data-cell-label=\"رموز السياق، أكثر من\"><span class=\"card-cell-label\">رموز السياق، أكثر من</span>—</td><td data-cell-label=\"رموز السياق، حتى القيمة شاملةً\"><span class=\"card-cell-label\">رموز السياق، حتى القيمة شاملةً</span>لا يوجد حد أقصى</td><td data-cell-label=\"الرسوم\"><span class=\"card-cell-label\">الرسوم</span><div><span>الإدخال · رموز الإدخال</span> <b>$0.002</b> <span class=\"price-unit\">/ 1K من الرموز</span></div><div><span>الإخراج · رموز الإخراج</span> <b>$0.002</b> <span class=\"price-unit\">/ 1K من الرموز</span></div><div><span>الإدخال · قراءة ذاكرة التخزين المؤقت</span> <b>—</b> <span class=\"price-unit\">/ 1K من الرموز</span></div><div><span>الإدخال · الكتابة إلى ذاكرة التخزين المؤقت</span> <b>—</b> <span class=\"price-unit\">/ 1K من الرموز</span></div><div><span>الإدخال · الكتابة إلى ذاكرة التخزين المؤقت، 1 ساعة</span> <b>—</b> <span class=\"price-unit\">/ 1K من الرموز</span></div></td></tr><tr><th data-cell-label=\"الإعدادات\" scope=\"row\"><span class=\"card-cell-label\">الإعدادات</span>الشريحة 1 لطول الطلب</th><td data-cell-label=\"جدول التعرفة\"><span class=\"card-cell-label\">جدول التعرفة</span>—</td><td data-cell-label=\"رموز السياق، أكثر من\"><span class=\"card-cell-label\">رموز السياق، أكثر من</span>⁦0⁩</td><td data-cell-label=\"رموز السياق، حتى القيمة شاملةً\"><span class=\"card-cell-label\">رموز السياق، حتى القيمة شاملةً</span>لا يوجد حد أقصى</td><td data-cell-label=\"الرسوم\"><span class=\"card-cell-label\">الرسوم</span><div><span>الإدخال · رموز الإدخال</span> <b>$0.002</b> <span class=\"price-unit\">/ 1K من الرموز</span></div><div><span>الإخراج · رموز الإخراج</span> <b>$0.002</b> <span class=\"price-unit\">/ 1K من الرموز</span></div><div><span>الإدخال · قراءة ذاكرة التخزين المؤقت</span> <b>—</b> <span class=\"price-unit\">/ 1K من الرموز</span></div><div><span>الإدخال · الكتابة إلى ذاكرة التخزين المؤقت</span> <b>—</b> <span class=\"price-unit\">/ 1K من الرموز</span></div><div><span>الإدخال · الكتابة إلى ذاكرة التخزين المؤقت، 1 ساعة</span> <b>—</b> <span class=\"price-unit\">/ 1K من الرموز</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">تحجز Ailoot مبلغًا تقديريًا قبل الطلب. وبعد ظهور النتيجة، تُسوّي الرسوم النهائية بناءً على الاستخدام المقاس. وتستخدم تسوية البث سجل الاستخدام النهائي. <a href=\"/docs/ar/billing/reserve/\">كيفية عمل حجز المبلغ وتسوية الرسوم →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">أمثلة للطلبات</h3><h4>Ailoot Ultra · رسائل Anthropic</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"خيارات الشيفرة\"><button class=\"cg-tab\" id=\"model-code-1987-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1987-panel-0\" aria-selected=\"true\" tabindex=\"0\">جسم طلب JSON مكتمل بالحد الأدنى</button><button class=\"cg-tab\" id=\"model-code-1987-tab-1\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1987-panel-1\" aria-selected=\"false\" tabindex=\"-1\">curl · استخدم مستندك بترميز UTF-8</button><button class=\"cg-tab\" id=\"model-code-1987-tab-2\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1987-panel-2\" aria-selected=\"false\" tabindex=\"-1\">Python · احفظ النتيجة كاملة</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"نسخ الشيفرة\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-1987-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1987-tab-0\"><pre data-lang=\"json\"><code>{\n  &quot;model&quot;: &quot;nousresearch/hermes-3-llama-3.1-405b&quot;,\n  &quot;max_tokens&quot;: 128,\n  &quot;messages&quot;: [\n    {\n      &quot;role&quot;: &quot;user&quot;,\n      &quot;content&quot;: &quot;Summarize the incident report.&quot;\n    }\n  ],\n  &quot;stream&quot;: false\n}</code></pre></div><div class=\"cg-pane\" id=\"model-code-1987-panel-1\" role=\"tabpanel\" aria-labelledby=\"model-code-1987-tab-1\" hidden><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_TEXT_FILE:?Set your actual UTF-8 document}&quot;\nexport AILOOT_TEXT_FILE\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json, os\nfrom pathlib import Path\n\nsource_file = Path(os.environ[&#39;AILOOT_TEXT_FILE&#39;])\nif not source_file.is_file():\n    raise SystemExit(&#39;Set AILOOT_TEXT_FILE to your actual UTF-8 document&#39;)\ntext = source_file.read_text(encoding=&#39;utf-8&#39;)\nif not text.strip():\n    raise SystemExit(&#39;Choose a document containing text&#39;)\npayload = {&#39;model&#39;: &#39;nousresearch/hermes-3-llama-3.1-405b&#39;, &#39;max_tokens&#39;: 128, &#39;messages&#39;: [{&#39;role&#39;: &#39;user&#39;, &#39;content&#39;: &#39;Summarize the incident report.&#39;}]}\npayload[&#39;messages&#39;][0][&#39;content&#39;] = &#39;Summarize this material and quote supporting source passages.\\n\\n&#39; + text\nPath(&#39;request.json&#39;).write_text(json.dumps(payload, ensure_ascii=False), encoding=&#39;utf-8&#39;)\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \\\n  -H &quot;x-api-key: $AILOOT_API_KEY&quot; -H &#39;anthropic-version: 2023-06-01&#39; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - &lt;&lt;&#39;PY_RESULT&#39;\nimport json\nfrom pathlib import Path\n\nresult = json.loads(Path(&#39;result.json&#39;).read_text(encoding=&#39;utf-8&#39;))\nprint(json.dumps(result, ensure_ascii=False, indent=2))\nPY_RESULT\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-1987-panel-2\" role=\"tabpanel\" aria-labelledby=\"model-code-1987-tab-2\" hidden><pre data-lang=\"python\"><code>import json, os\nfrom pathlib import Path\n\nsource_file = Path(os.environ[&#39;AILOOT_TEXT_FILE&#39;])\nif not source_file.is_file():\n    raise SystemExit(&#39;Set AILOOT_TEXT_FILE to your actual UTF-8 document&#39;)\ntext = source_file.read_text(encoding=&#39;utf-8&#39;)\nif not text.strip():\n    raise SystemExit(&#39;Choose a document containing text&#39;)\npayload = {&#39;model&#39;: &#39;nousresearch/hermes-3-llama-3.1-405b&#39;, &#39;max_tokens&#39;: 128, &#39;messages&#39;: [{&#39;role&#39;: &#39;user&#39;, &#39;content&#39;: &#39;Summarize the incident report.&#39;}]}\npayload[&#39;messages&#39;][0][&#39;content&#39;] = &#39;Summarize this material and quote supporting source passages.\\n\\n&#39; + text\nfrom urllib.request import Request, urlopen\nfrom urllib.error import HTTPError\n\napi_key = os.environ[&#39;AILOOT_API_KEY&#39;]\nif not api_key.strip():\n    raise SystemExit(&#39;Set AILOOT_API_KEY before making a request&#39;)\nheaders = {&#39;x-api-key&#39;: &#39;PLACEHOLDER_KEY&#39;, &#39;anthropic-version&#39;: &#39;2023-06-01&#39;, &#39;Content-Type&#39;: &#39;application/json&#39;}\nheaders[&#39;x-api-key&#39;] = api_key\nrequest = Request(&#39;https://api.ailoot.ai/v1/messages&#39;, data=json.dumps(payload, ensure_ascii=False).encode(&#39;utf-8&#39;), headers=headers, method=&#39;POST&#39;)\ntry:\n    with urlopen(request, timeout=120) as response:\n        raw = response.read()\n        Path(&#39;response-headers.txt&#39;).write_text(str(response.headers), encoding=&#39;utf-8&#39;)\nexcept HTTPError as error:\n    Path(&#39;result.json&#39;).write_bytes(error.read())\n    Path(&#39;response-headers.txt&#39;).write_text(str(error.headers), encoding=&#39;utf-8&#39;)\n    raise\nPath(&#39;result.json&#39;).write_bytes(raw)\nimport json\nfrom pathlib import Path\n\nresult = json.loads(Path(&#39;result.json&#39;).read_text(encoding=&#39;utf-8&#39;))\nprint(json.dumps(result, ensure_ascii=False, indent=2))\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">استلام النتائج وحفظها</h3><h4>Ailoot Ultra · رسائل Anthropic</h4><p class=\"note-s\">JSON أو SSE</p><div class=\"card-result-process\" data-all-results><h5>الاحتفاظ بكل النتائج المكتملة</h5><p class=\"note-s\">احتفظ بكل استجابة كاملة وكل ملف وجزء محتوى تم إرجاعه.</p><p class=\"note-s\">احتفظ بكل كتل المحتوى وتوقيعات التفكير ومعرّفات استخدام الأدوات الفعلية. جمّع جميع تحديثات كتل SSE؛ فأول كتلة نصية ليست الإخراج الكامل.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>عند الحاجة إلى التحقق من الاستجابة الأصلية</h5><p class=\"note-s\">احتفظ بمعرّفات الطلبات/الاستجابات والترويسات. لا يُقدَّم URL عام لاسترجاع مهمة نصية.</p></div><details class=\"card-about\" data-output-fields><summary>حقول الاستجابة</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>الحقل</th><th>النوع</th></tr></thead><tbody><tr><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">id</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span>string</td></tr><tr><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span>string</td></tr><tr><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">content[]</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span>text|thinking|tool_use|other content block</td></tr><tr><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">stop_reason</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span>string|null</td></tr><tr><th data-cell-label=\"الحقل\" scope=\"row\"><span class=\"card-cell-label\">الحقل</span><code class=\"card-field-name\">usage</code></th><td data-cell-label=\"النوع\" data-field-type><span class=\"card-cell-label\">النوع</span>object</td></tr></tbody></table></div></details><details class=\"card-about\" data-method-errors><summary>الأخطاء والخطوات التالية</summary><div class=\"tw\" data-card-table=\"errors\"><table><thead><tr><th>الاستجابة</th><th>الشرط</th><th>الخطوة التالية</th></tr></thead><tbody><tr><th data-cell-label=\"الاستجابة\" scope=\"row\"><span class=\"card-cell-label\">الاستجابة</span>⁦400⁩ · <code>invalid_request_error</code></th><td data-cell-label=\"الشرط\"><span class=\"card-cell-label\">الشرط</span>حقول مطلوبة أو تمثيل مادة أو قيمة معلمة غير صحيحة</td><td data-cell-label=\"الخطوة التالية\"><span class=\"card-cell-label\">الخطوة التالية</span>صحّح الحقول المحددة قبل طلب إنشاء جديد.</td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">الأسماء البديلة</h3><h4>الأسماء البديلة للنموذج</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=nousresearch%2Fhermes-3-llama-3.1-405b&amp;route=Ultra&amp;caller=nousresearch%2Fhermes-3-llama-3.1-405b&amp;fmt=messages\"><code>nousresearch/hermes-3-llama-3.1-405b</code></a></span></p><h4>الأسماء البديلة لمسارات الطرائق</h4><p class=\"note-s\">استخدم مسارات الطرائق المعروضة أعلاه.</p><h4>معرّفات النماذج ذات الصلة IDs</h4><p class=\"note-s\"><a href=\"#m=nousresearch%2Fhermes-3-llama-3.1-405b&amp;route=Ultra&amp;caller=nousresearch%2Fhermes-3-llama-3.1-405b&amp;fmt=messages\"><code>nousresearch/hermes-3-llama-3.1-405b</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "nousresearch/hermes-3-llama-3.1-405b",
        "fmt": "messages",
        "http": "POST",
        "path": "/v1/messages",
        "request_model_id": "nousresearch/hermes-3-llama-3.1-405b",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|messages|/v1/messages|nousresearch%2Fhermes-3-llama-3.1-405b",
      "ordinal": 1,
      "rawMethod": {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "headers": [
                "Authorization: Bearer",
                "x-api-key",
                "anthropic-version"
              ],
              "version_example": "2023-06-01"
            },
            "errors": [
              {
                "code": null,
                "condition": "حقول مطلوبة أو تمثيل مادة أو قيمة معلمة غير صحيحة",
                "http_status": 400,
                "recovery": "صحّح الحقول المحددة قبل طلب إنشاء جديد.",
                "type": "invalid_request_error"
              }
            ],
            "example_body": {
              "max_tokens": 128,
              "messages": [
                {
                  "content": "Summarize the incident report.",
                  "role": "user"
                }
              ],
              "model": "nousresearch/hermes-3-llama-3.1-405b",
              "stream": false
            },
            "lifecycle": {
              "create": {
                "http": "POST",
                "path": "/v1/messages"
              },
              "job_read": null,
              "mode": "synchronous_or_streamed",
              "unknown": "احتفظ بمعرّفات الطلبات/الاستجابات والترويسات. لا يُقدَّم URL عام لاسترجاع مهمة نصية."
            },
            "material_combinations": [
              {
                "mode": "text",
                "representation": "سلسلة نصية messages[].content",
                "required_material": "نص UTF-8"
              }
            ],
            "operation_modes": [
              "synchronous_json",
              "streamed_SSE"
            ],
            "outputs": {
              "all_results": "احتفظ بكل كتل المحتوى وتوقيعات التفكير ومعرّفات استخدام الأدوات الفعلية. جمّع جميع تحديثات كتل SSE؛ فأول كتلة نصية ليست الإخراج الكامل.",
              "family": "protocol",
              "fields": [
                {
                  "description": null,
                  "name": "id",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "model",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "content[]",
                  "type": "text|thinking|tool_use|other content block"
                },
                {
                  "description": null,
                  "name": "stop_reason",
                  "type": "string|null"
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": "object"
                }
              ],
              "format": "JSON أو SSE"
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "nousresearch/hermes-3-llama-3.1-405b"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages",
                "required": true,
                "type": "message[]"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "user",
                  "assistant"
                ],
                "enum_known": true,
                "name": "messages[].role",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].content",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "max_tokens",
                "required": true,
                "type": "integer"
              },
              {
                "availability": "source_interface",
                "default": false,
                "default_known": true,
                "enum": null,
                "enum_known": false,
                "name": "stream",
                "required": false,
                "type": "boolean"
              }
            ],
            "profile_binding": "Documented current stock Messages bridge; optional model capabilities are separate from this minimal text request.",
            "request_schema": {
              "additionalProperties": false,
              "properties": {
                "max_tokens": {
                  "minimum": 1,
                  "type": "integer"
                },
                "messages": {
                  "items": {
                    "additionalProperties": false,
                    "properties": {
                      "content": {
                        "oneOf": [
                          {
                            "type": "string"
                          },
                          {
                            "items": {
                              "oneOf": [
                                {
                                  "properties": {
                                    "text": {
                                      "type": "string"
                                    },
                                    "type": {
                                      "const": "text"
                                    }
                                  },
                                  "required": [
                                    "type",
                                    "text"
                                  ],
                                  "type": "object"
                                },
                                {
                                  "properties": {
                                    "source": {
                                      "oneOf": [
                                        {
                                          "properties": {
                                            "type": {
                                              "const": "url"
                                            },
                                            "url": {
                                              "type": "string"
                                            }
                                          },
                                          "required": [
                                            "type",
                                            "url"
                                          ],
                                          "type": "object"
                                        },
                                        {
                                          "properties": {
                                            "data": {
                                              "type": "string"
                                            },
                                            "media_type": {
                                              "type": "string"
                                            },
                                            "type": {
                                              "const": "base64"
                                            }
                                          },
                                          "required": [
                                            "type",
                                            "media_type",
                                            "data"
                                          ],
                                          "type": "object"
                                        }
                                      ]
                                    },
                                    "type": {
                                      "const": "image"
                                    }
                                  },
                                  "required": [
                                    "type",
                                    "source"
                                  ],
                                  "type": "object"
                                }
                              ]
                            },
                            "type": "array"
                          }
                        ]
                      },
                      "role": {
                        "enum": [
                          "user",
                          "assistant"
                        ],
                        "type": "string"
                      }
                    },
                    "required": [
                      "role",
                      "content"
                    ],
                    "type": "object"
                  },
                  "minItems": 1,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "nousresearch/hermes-3-llama-3.1-405b"
                  ],
                  "type": "string"
                },
                "stream": {
                  "default": false,
                  "type": "boolean"
                }
              },
              "required": [
                "model",
                "messages",
                "max_tokens"
              ],
              "type": "object"
            },
            "schema_template": {
              "max_tokens": 128,
              "messages": [
                {
                  "content": "Summarize the incident report.",
                  "role": "user"
                }
              ],
              "model": "nousresearch/hermes-3-llama-3.1-405b",
              "stream": false
            },
            "unsupported": [
              "No query API key.",
              "Hosted/server-side tools and model-specific optional controls are not part of this minimal family example."
            ]
          },
          "input": {
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional_controls": [
              "stream"
            ],
            "required": [
              "model",
              "messages",
              "max_tokens"
            ],
            "text_file_material": "اقرأ مستند UTF-8 الفعلي وضع نصه في الإدخال المحدد أو السلسلة النصية لمحتوى الرسالة."
          },
          "lifecycle": {
            "create": {
              "http": "POST",
              "path": "/v1/messages"
            },
            "job_read": null,
            "mode": "synchronous_or_streamed",
            "unknown": "Keep request/response IDs and headers. No generic text job retrieval URL is supplied."
          },
          "manufacturer_capability": null,
          "method": {
            "http": "POST",
            "path": "/v1/messages"
          },
          "output": {
            "all_results": "Keep all content blocks, thinking signatures and actual tool-use IDs. Assemble all SSE block deltas; a first text block is not the complete output.",
            "family": "protocol",
            "format": "JSON or SSE"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "التعرفات الأساسية للرموز",
            "units": [
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "max_context_tokens_inclusive": null,
              "min_context_tokens_exclusive": 0
            },
            "label": "الشريحة 1 لطول الطلب",
            "units": [
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "{\n  \"model\": \"nousresearch/hermes-3-llama-3.1-405b\",\n  \"max_tokens\": 128,\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"Summarize the incident report.\"\n    }\n  ],\n  \"stream\": false\n}",
            "label": "Complete minimal JSON body",
            "language": "json"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_TEXT_FILE:?Set your actual UTF-8 document}\"\nexport AILOOT_TEXT_FILE\npython3 - <<'PY_REQUEST'\nimport json, os\nfrom pathlib import Path\n\nsource_file = Path(os.environ['AILOOT_TEXT_FILE'])\nif not source_file.is_file():\n    raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')\ntext = source_file.read_text(encoding='utf-8')\nif not text.strip():\n    raise SystemExit('Choose a document containing text')\npayload = {'model': 'nousresearch/hermes-3-llama-3.1-405b', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}\npayload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\\n\\n' + text\nPath('request.json').write_text(json.dumps(payload, ensure_ascii=False), encoding='utf-8')\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \\\n  -H \"x-api-key: $AILOOT_API_KEY\" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\n\nresult = json.loads(Path('result.json').read_text(encoding='utf-8'))\nprint(json.dumps(result, ensure_ascii=False, indent=2))\nPY_RESULT\n",
            "label": "curl · use your UTF-8 document",
            "language": "bash"
          },
          {
            "code": "import json, os\nfrom pathlib import Path\n\nsource_file = Path(os.environ['AILOOT_TEXT_FILE'])\nif not source_file.is_file():\n    raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')\ntext = source_file.read_text(encoding='utf-8')\nif not text.strip():\n    raise SystemExit('Choose a document containing text')\npayload = {'model': 'nousresearch/hermes-3-llama-3.1-405b', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}\npayload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\\n\\n' + text\nfrom urllib.request import Request, urlopen\nfrom urllib.error import HTTPError\n\napi_key = os.environ['AILOOT_API_KEY']\nif not api_key.strip():\n    raise SystemExit('Set AILOOT_API_KEY before making a request')\nheaders = {'x-api-key': 'PLACEHOLDER_KEY', 'anthropic-version': '2023-06-01', 'Content-Type': 'application/json'}\nheaders['x-api-key'] = api_key\nrequest = Request('https://api.ailoot.ai/v1/messages', data=json.dumps(payload, ensure_ascii=False).encode('utf-8'), headers=headers, method='POST')\ntry:\n    with urlopen(request, timeout=120) as response:\n        raw = response.read()\n        Path('response-headers.txt').write_text(str(response.headers), encoding='utf-8')\nexcept HTTPError as error:\n    Path('result.json').write_bytes(error.read())\n    Path('response-headers.txt').write_text(str(error.headers), encoding='utf-8')\n    raise\nPath('result.json').write_bytes(raw)\nimport json\nfrom pathlib import Path\n\nresult = json.loads(Path('result.json').read_text(encoding='utf-8'))\nprint(json.dumps(result, ensure_ascii=False, indent=2))\n",
            "label": "Python · save the complete result",
            "language": "python"
          }
        ],
        "family": "anthropic",
        "fast_multiplier": 1,
        "flex_multiplier": 1,
        "fmt": "messages",
        "http": "POST",
        "in": 2,
        "input": [
          "text"
        ],
        "label": "رسائل Anthropic",
        "max_out": null,
        "max_reasoning_effort_multiplier": 1,
        "method_aliases": [],
        "out": 2,
        "output": [
          "json",
          "sse"
        ],
        "path": "/v1/messages",
        "price_conditions": [
          {
            "label": "الوضع السريع",
            "value": "التعرفة القياسية",
            "when": "عند اختيار الوضع السريع"
          },
          {
            "label": "الوضع المرن",
            "value": "التعرفة القياسية",
            "when": "عند اختيار وضع flex"
          },
          {
            "label": "أقصى جهد للاستدلال",
            "value": "التعرفة القياسية",
            "when": "عندما يُطبَّق الضبط الافتراضي default مع أقصى جهد للاستدلال"
          }
        ],
        "pricing": {
          "billing_mode": "token",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "max_context_tokens_inclusive": null,
              "min_context_tokens_exclusive": 0
            },
            "label": "Request-length tier 1",
            "units": [
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
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    "description": "Hermes 3 Llama 3.1 405B هو نموذج نصي عام من Nous Research بحجم 405B ضُبط بدقة على كامل المعلمات. تدعم محادثته القابلة للتوجيه عبر ChatML وJSON الموجّه بالمخططات وتنسيق استدعاء الدوال تحليل المصادر والكتابة والشيفرة والعمل متعدد الخطوات باستخدام الملاحظات التي تعيدها أدوات التطبيق.",
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  "practicalHtml": "<h3>مهمة عملية</h3><p>مثال تقني باللغة الإنجليزية</p><pre><code>Rewrite a technical explanation for customers\n\nRewrite this explanation for customers in 80 words or fewer: &#x27;We store an immutable invoice snapshot at purchase. Editing the catalog later changes future invoices but cannot alter that snapshot.&#x27; Preserve the meaning of immutable snapshot, explain the effect of a later catalog edit and identify any claim you would need clarified before promising invoice corrections.</code></pre><h4>النتيجة المتوقعة</h4><pre><code>A concise customer-facing explanation and one separate clarification question about invoice corrections.</code></pre><h4>التحقق من النتيجة</h4><pre><code>The rewrite preserves the distinction between historical snapshots and future invoices without inventing a correction process.</code></pre>",
  "practicalText": "مهمة عملية مثال تقني باللغة الإنجليزية Rewrite a technical explanation for customers Rewrite this explanation for customers in 80 words or fewer: 'We store an immutable invoice snapshot at purchase. Editing the catalog later changes future invoices but cannot alter that snapshot.' Preserve the meaning of immutable snapshot, explain the effect of a later catalog edit and identify any claim you would need clarified before promising invoice corrections. النتيجة المتوقعة A concise customer-facing explanation and one separate clarification question about invoice corrections. التحقق من النتيجة The rewrite preserves the distinction between historical snapshots and future invoices without inventing a correction process.",
  "rawModel": {
    "about": "Hermes 3 Llama 3.1 405B هو نموذج نصي عام كبير من Nous Research، طُوّر بضبط دقيق لكامل معلمات Llama 3.1 405B. تؤكد الشركة المطوّرة التوافق مع تعليمات المستخدم وقابلية التوجيه وتقمّص الأدوار والاستدلال والمحادثة متعددة الأدوار والتماسك عبر السياق الطويل. المخرج نصي، يشمل الإجابات والمحتوى المكتوب والشيفرة والسجلات المنظّمة ومعلومات استدعاء الدوال.\n\n### إصدار 405B\n\nهذا هو متغيّر Hermes 3 الكبير، المنفصل عن نظيره 70B وعن إصدار الاستدلال اللاحق Hermes 4. توسّع الشركة المصنّعة قدرات Hermes السابقة بتحسين استدعاء الدوال والمخرجات المنظّمة وتوليد الشيفرة. امنح المهمة أدلتها الفعلية وشكلها النهائي المطلوب بدلًا من افتراض أن حجم النموذج يوفّر المصادر المفقودة أو معيار الإكمال.\n\nلتحليل مستندات، ضع تسميات للمقاطع وحدّد معايير المقارنة. اطلب المصدر ذا الصلة بجانب كل استنتاج وحدّد كيفية التعامل مع المعلومات الغائبة. ولتكليف كتابة، قدّم الجمهور والنبرة والحقائق التي يجب أن تبقى بعد المراجعة. موجّه عملي هو: «أعد كتابة هذا الشرح للقارئ المحدّد، وحافظ على المصطلحات المعرّفة، وحدّد أي ادعاء غير مدعوم يحتاج إلى توضيح».\n\n### تنسيق الموجّه والحوار\n\nيستخدم Hermes 3 تنسيق ChatML لفصل تعليمات النظام ورسائل المستخدم وردود المساعد. يستطيع قالبه الخاص إنشاء المحادثة وإلحاق بادئة توليد المساعد. توجّه تعليمات النظام الدور والقواعد والأسلوب؛ وهي اختيارية حين لا تتطلب المهمة تمهيدًا خاصًا.\n\nينبغي لمحادثة مستمرة إبقاء نص المصدر منفصلًا عن التعليمات والحفاظ على الحقائق المقبولة ضمن السياق ذي الصلة. لتقمّص الأدوار، حدّد من يتحكم في كل شخصية والأحداث المستقرّة. وللشيفرة، اذكر السلوك الذي يتغيّر والتعاقدات التي تبقى سليمة. ينبغي أن يظل المُنتَج المرغوب ظاهرًا طوال الحوار.\n\n### الدوال والملاحظات المصدرية\n\nتوثّق بطاقة النموذج المحدّد توقيعات الدوال داخل تمثيل تعريف الأدوات الخاص به ومخطط استجابة مطلوبًا لاسم الدالة والوسائط. يولّد النموذج كائنات استدعاء JSON موسومة. يحلّل التطبيق العملية المختارة وينفّذها، ثم يعيد نتيجتها في استجابة أداة مسمّاة. تستطيع إجابة المساعد التالية شرح البيانات الفعلية.\n\nامنح كل دالة غرضًا واضحًا وأوصاف معلمات دقيقة. لا تجعل بحثًا مقترحًا يقوم مقام مصدر معاد. أبقِ الملاحظة مرتبطة بالعملية المختارة حتى يحدّد الاستنتاج النهائي ما يدعمه. وتظل الشيفرة المُولَّدة كذلك اقتراحًا إلى أن تُفحص وتُشغَّل في البيئة المقصودة.\n\n### نتائج JSON والسياق والدقة العددية\n\nيُدرَّب وضع JSON في Hermes 3 بتعليمة نظام تحتوي المخطط المرغوب وتطلب كائن JSON كإجابة. عرّف الحقول وكيفية تمثيل قيم المصدر المفقودة أو المتعارضة. تحقّق من البنية وراجع الحقائق حتى حين يتبع الكائن المخطط.\n\nتضبط الإعدادات المنشورة max_position_embeddings على 131٬072. وزّع ميزانية التعليمات والمستندات والسجل ونتائج الأدوات والاستجابة معًا؛ فهذا الحقل لا يثبت سقفًا عامًا منفصلًا للمخرجات. للنموذج الكامل لدى الشركة المنتجة والمتغيّرات المكمّمة المنشورة على نحو منفصل هويات خاصة من حيث الدقة العددية، لذا ينبغي عدم إحلال تلك المتغيّرات محل متغيّر 405B المسمّى بصمت.\n\nالمُنتَج المفيد مُنتَج نصي أو برمجي واضح الافتراضات والصلات بالمصادر. راجعه بمقارنته بالمتطلبات المقدّمة والملاحظات الفعلية. تظل مسارات ChatML واستدعاء الدوال وJSON في Hermes 3 منفصلة عن ضوابط التفكير الهجين والاستدلال المتداخل اللاحقة في Hermes 4.",
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      "manufacturer_input": [
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      "manufacturer_output": [
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    },
    "card_routes": [
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        "label": "Ultra",
        "rates": [
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            "amount": "0.002000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.000002",
            "native_quantity": 1,
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            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
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          {
            "amount": "0.002000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
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            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
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        ],
        "summary": "التسعير الكامل للتكوين في التفاصيل."
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    ],
    "ctx": null,
    "entity_type": "model",
    "formats": [
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        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Keep every choice and its content/tool calls/reasoning. In SSE assemble deltas by choice/tool index, retain the final finish reason and usage.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "errors": [
              {
                "code": null,
                "condition": "حقول مطلوبة أو تمثيل مادة أو قيمة معلمة غير صحيحة",
                "http_status": 400,
                "recovery": "صحّح الحقول المحددة قبل طلب إنشاء جديد.",
                "type": "invalid_request_error"
              }
            ],
            "hints": [
              "Model context is not an output cap.",
              "A model-dependent field needs the exact published model profile; unspecified defaults/enums are not guessed.",
              "Tool calls propose actions; the client application returns actual observations with the returned call ID.",
              "Guarded canonical keys must occur once; duplicate or case-varied model/tools/cap fields are rejected."
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            "ignored_fields": [],
            "lifecycle": {
              "create": {
                "http": "POST",
                "path": "/v1/chat/completions"
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              "job_read": null,
              "mode": "synchronous_or_streamed",
              "unknown": "احتفظ بمعرّفات الطلبات/الاستجابات والترويسات. لا يُقدَّم URL عام لاسترجاع مهمة نصية."
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                  "name": "choices[].message.reasoning_content",
                  "type": "string"
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                  "name": "choices[].message.reasoning_details",
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                  "name": "choices[].finish_reason",
                  "type": "string|null"
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                {
                  "description": null,
                  "name": "usage",
                  "type": "object"
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              ],
              "format": "json أو SSE"
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            "parameters": [
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                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
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                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
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              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "min_items": 1,
                "name": "messages",
                "required": true,
                "type": "message[]"
              },
              {
                "availability": "model_dependent",
                "conditions": "تُمثَّل هذه الأدوار صراحةً بأنواع التوافق في الشيفرة المصدرية؛ وتظل مجموعة الأدوار الدقيقة خاصة بكل نموذج.",
                "default": null,
                "default_known": false,
                "enum": [
                  "system",
                  "user",
                  "assistant",
                  "tool",
                  "function"
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                "enum_exhaustive": false,
                "enum_known": true,
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                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].content",
                "required": false,
                "type": "string|content_part[]|null"
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              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].tool_calls",
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                "type": "tool_call[]"
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              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].tool_call_id",
                "required": false,
                "type": "string",
                "when": "role=tool؛ استخدم المعرّف الفعلي المُرجع"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].name",
                "required": false,
                "type": "string"
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              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].reasoning_content",
                "required": false,
                "type": "string",
                "when": "أعِد تمرير الاستدلال الفعلي المُرجع حيث يستخدمه هذا النموذج"
              },
              {
                "availability": "model_dependent",
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                "enum": null,
                "enum_known": false,
                "name": "messages[].reasoning_details",
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              },
              {
                "availability": "source_interface",
                "default": false,
                "default_known": true,
                "enum": null,
                "enum_known": false,
                "name": "stream",
                "required": false,
                "type": "boolean"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "stream_options.include_usage",
                "required": false,
                "type": "boolean"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "temperature",
                "required": false,
                "type": "number"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "top_p",
                "required": false,
                "type": "number"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "stop",
                "required": false,
                "type": "string|string[]"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "tools",
                "required": false,
                "type": "function_tool[]"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": [
                  "function"
                ],
                "enum_known": true,
                "name": "tools[].type",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "tools[].function.name",
                "required": true,
                "type": "string",
                "when": "أداة دالة مقدّمة"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "tools[].function.description",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "tools[].function.parameters",
                "required": false,
                "type": "JSON_schema"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "tool_choice",
                "required": false,
                "type": "string|object"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "parallel_tool_calls",
                "required": false,
                "type": "boolean"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "response_format",
                "required": false,
                "type": "object"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "reasoning_effort",
                "required": false,
                "type": "string"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "reasoning",
                "required": false,
                "type": "object"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "service_tier",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_compatibility",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "instructions",
                "required": false,
                "type": "string"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "functions",
                "required": false,
                "type": "function[]"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "function_call",
                "required": false,
                "type": "string|object"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "prompt_cache_options",
                "required": false,
                "type": "object"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "text"
                ],
                "enum_known": true,
                "name": "modalities",
                "required": false,
                "type": "string[]"
              },
              {
                "availability": "source_interface",
                "conditions": "يُرفَض provider.options في مسار Ultra النصي هذا",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "provider",
                "required": false,
                "type": "object"
              },
              {
                "availability": "source_interface",
                "conditions": "تُرفَض 1h في المواضع الفعلية للتخزين المؤقت للموجّه",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "cache_control.ttl",
                "required": false,
                "type": "string"
              }
            ],
            "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.",
            "unsupported": [
              "additional models/models list",
              "plugins",
              "route",
              "hosted tools; ordinary client function tools remain separate",
              "non-text output modalities",
              "provider.options overrides",
              "one-hour prompt-cache TTL"
            ]
          },
          "hints": [
            "أرسل معرّف النموذج الدقيق مع messages.",
            "طول السياق ليس حدًا أقصى للإخراج.",
            "يمكن لملف نصي تقديم نص حرفي؛ وتحتاج مدخلات الصور/الصوت/كائنات الملفات إلى ربط دقيق."
          ],
          "input": {
            "content_type": "application/json",
            "control_scope": "خاص بالنموذج؛ أدوات الدوال التي يقدّمها المستخدم تختلف عن الأدوات المستضافة",
            "file_material": "مستند UTF-8 الفعلي مُدرج كنص حرفي؛ لا يُستنتَج معرّف ملف",
            "hosted_operations": false,
            "material_types": [
              "text"
            ],
            "messages": "مصفوفة رسائل ببنية role/content",
            "multimodal_input_binding": null,
            "optional_controls": [
              "stream",
              "temperature",
              "top_p",
              "stop",
              "max_tokens",
              "max_completion_tokens",
              "reasoning",
              "response_format",
              "tools",
              "tool_choice"
            ],
            "output_modalities": [
              "text"
            ],
            "required": [
              "model",
              "messages"
            ]
          },
          "lifecycle": {
            "mode": "synchronous_or_streamed",
            "unknown": "preserve original request id; no generic chat job retrieval path"
          },
          "manufacturer_capability": null,
          "method": {
            "http": "POST",
            "path": "/v1/chat/completions"
          },
          "method_aliases": [],
          "operation_modes": [
            "text_chat"
          ],
          "output": {
            "content": "choices[].message.content or stream delta",
            "family": "text",
            "format": "json or supported SSE",
            "tool_calls": "retain actual returned function calls"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "التعرفات الأساسية للرموز",
            "units": [
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "max_context_tokens_inclusive": null,
              "min_context_tokens_exclusive": 0
            },
            "label": "الشريحة 1 لطول الطلب",
            "units": [
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"nousresearch/hermes-3-llama-3.1-405b\", \"messages\": [{\"role\": \"user\", \"content\": \"Explain the difference between an observation and a hypothesis in three sentences.\"}]}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nr=json.loads(Path(\"result.json\").read_text())\nfor x in r.get(\"choices\",[]):\n    if x.get(\"message\",{}).get(\"content\"): print(x[\"message\"][\"content\"])\nPY_RESULT\n",
            "label": "curl · retained exact creation",
            "language": "bash"
          },
          {
            "code": "from openai import OpenAI\nimport os\n\nif not os.environ.get(\"AILOOT_API_KEY\", \"\").strip(): raise SystemExit(\"Set AILOOT_API_KEY before making a request\")\nclient=OpenAI(base_url=\"https://api.ailoot.ai/v1\",api_key=os.environ[\"AILOOT_API_KEY\"],max_retries=0)\nresult=client.chat.completions.create(model='nousresearch/hermes-3-llama-3.1-405b',messages=[{\"role\":\"user\",\"content\":\"Explain observations and hypotheses in three sentences.\"}])\nimport base64, json\nfrom pathlib import Path\n\ndef save_result(data, stem=\"result\"):\n    # Keep every field, including usage, IDs, reasoning and tool requests.\n    Path(stem + \".json\").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding=\"utf-8\")\n    print(json.dumps(data, ensure_ascii=False, indent=2))\n    def save_blob(encoded, suffix, label):\n        raw = base64.b64decode(encoded, altchars=b\"-_\", validate=True)\n        ext = \"png\" if raw.startswith(b\"\\x89PNG\\r\\n\\x1a\\n\") else \"jpg\" if raw.startswith(b\"\\xff\\xd8\") else \"webp\" if raw[:4] == b\"RIFF\" and raw[8:12] == b\"WEBP\" else suffix\n        file = Path(stem + \"-\" + label + \".\" + ext)\n        file.write_bytes(raw)\n        print(\"Saved\", file)\n    for index, block in enumerate(data.get(\"content\") or []):\n        print(\"Content\", index, json.dumps(block, ensure_ascii=False))\n    for choice in data.get(\"choices\") or []:\n        print(\"Choice\", choice.get(\"index\"), json.dumps(choice.get(\"message\", choice.get(\"delta\", {})), ensure_ascii=False))\n    for index, item in enumerate(data.get(\"output\") or []):\n        print(\"Output\", index, json.dumps(item, ensure_ascii=False))\n        if item.get(\"type\") == \"image_generation_call\" and item.get(\"result\"):\n            save_blob(item[\"result\"], item.get(\"output_format\") or \"bin\", \"output-\" + str(index))\n    for ci, candidate in enumerate(data.get(\"candidates\") or []):\n        for pi, part in enumerate((candidate.get(\"content\") or {}).get(\"parts\") or []):\n            print(\"Candidate/part\", ci, pi, json.dumps(part, ensure_ascii=False))\n            blob = part.get(\"inlineData\") or part.get(\"inline_data\")\n            if blob and blob.get(\"data\"):\n                mime = blob.get(\"mimeType\") or blob.get(\"mime_type\")\n                suffix = {\"image/png\":\"png\", \"image/jpeg\":\"jpg\", \"image/webp\":\"webp\", \"audio/wav\":\"wav\", \"audio/mpeg\":\"mp3\", \"video/mp4\":\"mp4\"}.get(mime, \"bin\")\n                save_blob(blob[\"data\"], suffix, \"candidate-\" + str(ci) + \"-part-\" + str(pi))\n\nsave_result(result.to_dict(mode=\"json\"))\n",
            "label": "Python SDK · all choices",
            "language": "python"
          },
          {
            "code": "from openai import OpenAI\nimport os\nfrom pathlib import Path\n\nif not os.environ.get(\"AILOOT_API_KEY\", \"\").strip(): raise SystemExit(\"Set AILOOT_API_KEY before making a request\")\nclient=OpenAI(base_url=\"https://api.ailoot.ai/v1\",api_key=os.environ[\"AILOOT_API_KEY\"],max_retries=0)\nimport base64, json\nfrom pathlib import Path\n\ndef save_result(data, stem=\"result\"):\n    # Keep every field, including usage, IDs, reasoning and tool requests.\n    Path(stem + \".json\").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding=\"utf-8\")\n    print(json.dumps(data, ensure_ascii=False, indent=2))\n    def save_blob(encoded, suffix, label):\n        raw = base64.b64decode(encoded, altchars=b\"-_\", validate=True)\n        ext = \"png\" if raw.startswith(b\"\\x89PNG\\r\\n\\x1a\\n\") else \"jpg\" if raw.startswith(b\"\\xff\\xd8\") else \"webp\" if raw[:4] == b\"RIFF\" and raw[8:12] == b\"WEBP\" else suffix\n        file = Path(stem + \"-\" + label + \".\" + ext)\n        file.write_bytes(raw)\n        print(\"Saved\", file)\n    for index, block in enumerate(data.get(\"content\") or []):\n        print(\"Content\", index, json.dumps(block, ensure_ascii=False))\n    for choice in data.get(\"choices\") or []:\n        print(\"Choice\", choice.get(\"index\"), json.dumps(choice.get(\"message\", choice.get(\"delta\", {})), ensure_ascii=False))\n    for index, item in enumerate(data.get(\"output\") or []):\n        print(\"Output\", index, json.dumps(item, ensure_ascii=False))\n        if item.get(\"type\") == \"image_generation_call\" and item.get(\"result\"):\n            save_blob(item[\"result\"], item.get(\"output_format\") or \"bin\", \"output-\" + str(index))\n    for ci, candidate in enumerate(data.get(\"candidates\") or []):\n        for pi, part in enumerate((candidate.get(\"content\") or {}).get(\"parts\") or []):\n            print(\"Candidate/part\", ci, pi, json.dumps(part, ensure_ascii=False))\n            blob = part.get(\"inlineData\") or part.get(\"inline_data\")\n            if blob and blob.get(\"data\"):\n                mime = blob.get(\"mimeType\") or blob.get(\"mime_type\")\n                suffix = {\"image/png\":\"png\", \"image/jpeg\":\"jpg\", \"image/webp\":\"webp\", \"audio/wav\":\"wav\", \"audio/mpeg\":\"mp3\", \"video/mp4\":\"mp4\"}.get(mime, \"bin\")\n                save_blob(blob[\"data\"], suffix, \"candidate-\" + str(ci) + \"-part-\" + str(pi))\n\nwith client.chat.completions.stream(model='nousresearch/hermes-3-llama-3.1-405b',messages=[{\"role\":\"user\",\"content\":\"Explain observations and hypotheses in three sentences.\"}]) as stream:\n    with Path(\"stream-events.jsonl\").open(\"w\",encoding=\"utf-8\") as log:\n        for event in stream:\n            payload=event.to_dict(mode=\"json\")\n            log.write(json.dumps(payload,ensure_ascii=False)+\"\\n\"); log.flush()\n            print(json.dumps(payload,ensure_ascii=False))\n    final=stream.get_final_completion()\n    save_result(final.to_dict(mode=\"json\"),\"stream-result\")\n",
            "label": "Python SDK streaming · all events",
            "language": "python"
          }
        ],
        "family": "openai",
        "fast_multiplier": 1,
        "flex_multiplier": 1,
        "fmt": "chat",
        "hints": [
          "Send exact model ID with messages.",
          "Context length is not an output cap.",
          "A text file may supply literal text; image/audio/file-object inputs need exact binding."
        ],
        "http": "POST",
        "in": 2,
        "input": [
          "text"
        ],
        "label": "محادثة OpenAI",
        "max_out": null,
        "max_reasoning_effort_multiplier": 1,
        "method_aliases": [],
        "out": 2,
        "output": [
          "text"
        ],
        "path": "/v1/chat/completions",
        "price_conditions": [
          {
            "label": "الوضع السريع",
            "value": "التعرفة القياسية",
            "when": "عند اختيار الوضع السريع"
          },
          {
            "label": "الوضع المرن",
            "value": "التعرفة القياسية",
            "when": "عند اختيار وضع flex"
          },
          {
            "label": "أقصى جهد للاستدلال",
            "value": "التعرفة القياسية",
            "when": "عندما يُطبَّق الضبط الافتراضي default مع أقصى جهد للاستدلال"
          }
        ],
        "pricing": {
          "billing_mode": "token",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "max_context_tokens_inclusive": null,
              "min_context_tokens_exclusive": 0
            },
            "label": "Request-length tier 1",
            "units": [
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "request_model_id": "nousresearch/hermes-3-llama-3.1-405b",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [
          {
            "cache_read": null,
            "cache_read_multiplier": null,
            "cache_write": null,
            "cache_write_1h": null,
            "cache_write_multiplier": null,
            "created_at": "0001-01-01T00:00:00Z",
            "in": 2,
            "input_multiplier": null,
            "interval_boundary": "min_exclusive_max_inclusive",
            "max": null,
            "max_tokens": null,
            "min": 0,
            "min_tokens": 0,
            "null_rate_policy": "unknown or inherited; never zero",
            "out": 2,
            "output_multiplier": null,
            "per_request_price": null,
            "sort_order": 0,
            "tier_label": "",
            "updated_at": "0001-01-01T00:00:00Z"
          }
        ],
        "units": [
          {
            "amount": "0.002000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.000002",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0.002000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0.000002",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          }
        ]
      },
      {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "headers": [
                "Authorization: Bearer",
                "x-api-key",
                "anthropic-version"
              ],
              "version_example": "2023-06-01"
            },
            "errors": [
              {
                "code": null,
                "condition": "حقول مطلوبة أو تمثيل مادة أو قيمة معلمة غير صحيحة",
                "http_status": 400,
                "recovery": "صحّح الحقول المحددة قبل طلب إنشاء جديد.",
                "type": "invalid_request_error"
              }
            ],
            "example_body": {
              "max_tokens": 128,
              "messages": [
                {
                  "content": "Summarize the incident report.",
                  "role": "user"
                }
              ],
              "model": "nousresearch/hermes-3-llama-3.1-405b",
              "stream": false
            },
            "lifecycle": {
              "create": {
                "http": "POST",
                "path": "/v1/messages"
              },
              "job_read": null,
              "mode": "synchronous_or_streamed",
              "unknown": "احتفظ بمعرّفات الطلبات/الاستجابات والترويسات. لا يُقدَّم URL عام لاسترجاع مهمة نصية."
            },
            "material_combinations": [
              {
                "mode": "text",
                "representation": "سلسلة نصية messages[].content",
                "required_material": "نص UTF-8"
              }
            ],
            "operation_modes": [
              "synchronous_json",
              "streamed_SSE"
            ],
            "outputs": {
              "all_results": "احتفظ بكل كتل المحتوى وتوقيعات التفكير ومعرّفات استخدام الأدوات الفعلية. جمّع جميع تحديثات كتل SSE؛ فأول كتلة نصية ليست الإخراج الكامل.",
              "family": "protocol",
              "fields": [
                {
                  "description": null,
                  "name": "id",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "model",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "content[]",
                  "type": "text|thinking|tool_use|other content block"
                },
                {
                  "description": null,
                  "name": "stop_reason",
                  "type": "string|null"
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": "object"
                }
              ],
              "format": "JSON أو SSE"
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "nousresearch/hermes-3-llama-3.1-405b"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages",
                "required": true,
                "type": "message[]"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "user",
                  "assistant"
                ],
                "enum_known": true,
                "name": "messages[].role",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].content",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "max_tokens",
                "required": true,
                "type": "integer"
              },
              {
                "availability": "source_interface",
                "default": false,
                "default_known": true,
                "enum": null,
                "enum_known": false,
                "name": "stream",
                "required": false,
                "type": "boolean"
              }
            ],
            "profile_binding": "Documented current stock Messages bridge; optional model capabilities are separate from this minimal text request.",
            "request_schema": {
              "additionalProperties": false,
              "properties": {
                "max_tokens": {
                  "minimum": 1,
                  "type": "integer"
                },
                "messages": {
                  "items": {
                    "additionalProperties": false,
                    "properties": {
                      "content": {
                        "oneOf": [
                          {
                            "type": "string"
                          },
                          {
                            "items": {
                              "oneOf": [
                                {
                                  "properties": {
                                    "text": {
                                      "type": "string"
                                    },
                                    "type": {
                                      "const": "text"
                                    }
                                  },
                                  "required": [
                                    "type",
                                    "text"
                                  ],
                                  "type": "object"
                                },
                                {
                                  "properties": {
                                    "source": {
                                      "oneOf": [
                                        {
                                          "properties": {
                                            "type": {
                                              "const": "url"
                                            },
                                            "url": {
                                              "type": "string"
                                            }
                                          },
                                          "required": [
                                            "type",
                                            "url"
                                          ],
                                          "type": "object"
                                        },
                                        {
                                          "properties": {
                                            "data": {
                                              "type": "string"
                                            },
                                            "media_type": {
                                              "type": "string"
                                            },
                                            "type": {
                                              "const": "base64"
                                            }
                                          },
                                          "required": [
                                            "type",
                                            "media_type",
                                            "data"
                                          ],
                                          "type": "object"
                                        }
                                      ]
                                    },
                                    "type": {
                                      "const": "image"
                                    }
                                  },
                                  "required": [
                                    "type",
                                    "source"
                                  ],
                                  "type": "object"
                                }
                              ]
                            },
                            "type": "array"
                          }
                        ]
                      },
                      "role": {
                        "enum": [
                          "user",
                          "assistant"
                        ],
                        "type": "string"
                      }
                    },
                    "required": [
                      "role",
                      "content"
                    ],
                    "type": "object"
                  },
                  "minItems": 1,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "nousresearch/hermes-3-llama-3.1-405b"
                  ],
                  "type": "string"
                },
                "stream": {
                  "default": false,
                  "type": "boolean"
                }
              },
              "required": [
                "model",
                "messages",
                "max_tokens"
              ],
              "type": "object"
            },
            "schema_template": {
              "max_tokens": 128,
              "messages": [
                {
                  "content": "Summarize the incident report.",
                  "role": "user"
                }
              ],
              "model": "nousresearch/hermes-3-llama-3.1-405b",
              "stream": false
            },
            "unsupported": [
              "No query API key.",
              "Hosted/server-side tools and model-specific optional controls are not part of this minimal family example."
            ]
          },
          "input": {
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional_controls": [
              "stream"
            ],
            "required": [
              "model",
              "messages",
              "max_tokens"
            ],
            "text_file_material": "اقرأ مستند UTF-8 الفعلي وضع نصه في الإدخال المحدد أو السلسلة النصية لمحتوى الرسالة."
          },
          "lifecycle": {
            "create": {
              "http": "POST",
              "path": "/v1/messages"
            },
            "job_read": null,
            "mode": "synchronous_or_streamed",
            "unknown": "Keep request/response IDs and headers. No generic text job retrieval URL is supplied."
          },
          "manufacturer_capability": null,
          "method": {
            "http": "POST",
            "path": "/v1/messages"
          },
          "output": {
            "all_results": "Keep all content blocks, thinking signatures and actual tool-use IDs. Assemble all SSE block deltas; a first text block is not the complete output.",
            "family": "protocol",
            "format": "JSON or SSE"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "التعرفات الأساسية للرموز",
            "units": [
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "max_context_tokens_inclusive": null,
              "min_context_tokens_exclusive": 0
            },
            "label": "الشريحة 1 لطول الطلب",
            "units": [
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "{\n  \"model\": \"nousresearch/hermes-3-llama-3.1-405b\",\n  \"max_tokens\": 128,\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"Summarize the incident report.\"\n    }\n  ],\n  \"stream\": false\n}",
            "label": "Complete minimal JSON body",
            "language": "json"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_TEXT_FILE:?Set your actual UTF-8 document}\"\nexport AILOOT_TEXT_FILE\npython3 - <<'PY_REQUEST'\nimport json, os\nfrom pathlib import Path\n\nsource_file = Path(os.environ['AILOOT_TEXT_FILE'])\nif not source_file.is_file():\n    raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')\ntext = source_file.read_text(encoding='utf-8')\nif not text.strip():\n    raise SystemExit('Choose a document containing text')\npayload = {'model': 'nousresearch/hermes-3-llama-3.1-405b', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}\npayload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\\n\\n' + text\nPath('request.json').write_text(json.dumps(payload, ensure_ascii=False), encoding='utf-8')\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \\\n  -H \"x-api-key: $AILOOT_API_KEY\" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\n\nresult = json.loads(Path('result.json').read_text(encoding='utf-8'))\nprint(json.dumps(result, ensure_ascii=False, indent=2))\nPY_RESULT\n",
            "label": "curl · use your UTF-8 document",
            "language": "bash"
          },
          {
            "code": "import json, os\nfrom pathlib import Path\n\nsource_file = Path(os.environ['AILOOT_TEXT_FILE'])\nif not source_file.is_file():\n    raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')\ntext = source_file.read_text(encoding='utf-8')\nif not text.strip():\n    raise SystemExit('Choose a document containing text')\npayload = {'model': 'nousresearch/hermes-3-llama-3.1-405b', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}\npayload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\\n\\n' + text\nfrom urllib.request import Request, urlopen\nfrom urllib.error import HTTPError\n\napi_key = os.environ['AILOOT_API_KEY']\nif not api_key.strip():\n    raise SystemExit('Set AILOOT_API_KEY before making a request')\nheaders = {'x-api-key': 'PLACEHOLDER_KEY', 'anthropic-version': '2023-06-01', 'Content-Type': 'application/json'}\nheaders['x-api-key'] = api_key\nrequest = Request('https://api.ailoot.ai/v1/messages', data=json.dumps(payload, ensure_ascii=False).encode('utf-8'), headers=headers, method='POST')\ntry:\n    with urlopen(request, timeout=120) as response:\n        raw = response.read()\n        Path('response-headers.txt').write_text(str(response.headers), encoding='utf-8')\nexcept HTTPError as error:\n    Path('result.json').write_bytes(error.read())\n    Path('response-headers.txt').write_text(str(error.headers), encoding='utf-8')\n    raise\nPath('result.json').write_bytes(raw)\nimport json\nfrom pathlib import Path\n\nresult = json.loads(Path('result.json').read_text(encoding='utf-8'))\nprint(json.dumps(result, ensure_ascii=False, indent=2))\n",
            "label": "Python · save the complete result",
            "language": "python"
          }
        ],
        "family": "anthropic",
        "fast_multiplier": 1,
        "flex_multiplier": 1,
        "fmt": "messages",
        "http": "POST",
        "in": 2,
        "input": [
          "text"
        ],
        "label": "رسائل Anthropic",
        "max_out": null,
        "max_reasoning_effort_multiplier": 1,
        "method_aliases": [],
        "out": 2,
        "output": [
          "json",
          "sse"
        ],
        "path": "/v1/messages",
        "price_conditions": [
          {
            "label": "الوضع السريع",
            "value": "التعرفة القياسية",
            "when": "عند اختيار الوضع السريع"
          },
          {
            "label": "الوضع المرن",
            "value": "التعرفة القياسية",
            "when": "عند اختيار وضع flex"
          },
          {
            "label": "أقصى جهد للاستدلال",
            "value": "التعرفة القياسية",
            "when": "عندما يُطبَّق الضبط الافتراضي default مع أقصى جهد للاستدلال"
          }
        ],
        "pricing": {
          "billing_mode": "token",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "max_context_tokens_inclusive": null,
              "min_context_tokens_exclusive": 0
            },
            "label": "Request-length tier 1",
            "units": [
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.000002",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "request_model_id": "nousresearch/hermes-3-llama-3.1-405b",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [
          {
            "cache_read": null,
            "cache_read_multiplier": null,
            "cache_write": null,
            "cache_write_1h": null,
            "cache_write_multiplier": null,
            "created_at": "0001-01-01T00:00:00Z",
            "in": 2,
            "input_multiplier": null,
            "max": null,
            "max_tokens": null,
            "min": 0,
            "min_tokens": 0,
            "out": 2,
            "output_multiplier": null,
            "per_request_price": null,
            "sort_order": 0,
            "tier_label": "",
            "updated_at": "0001-01-01T00:00:00Z"
          }
        ],
        "units": [
          {
            "amount": "0.002000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.000002",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0.002000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0.000002",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          }
        ]
      }
    ],
    "model_aliases": [
      {
        "canonical_model_id": "nousresearch/hermes-3-llama-3.1-405b",
        "request_model_id": "nousresearch/hermes-3-llama-3.1-405b",
        "route_label": "Ultra"
      }
    ],
    "name": "Nous: Hermes 3 405B Instruct",
    "price": {
      "in": 2,
      "in_label": null,
      "out": 2,
      "out_label": null,
      "scope_label": "Token rates",
      "sort_in": 2,
      "sort_out": 2,
      "varies": true
    },
    "pricing_profiles": [
      {
        "dimensions": {
          "regime": "base"
        },
        "label": "OpenAI Chat · Base token rates",
        "units": [
          {
            "amount": "0.002000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.000002",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0.002000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0.000002",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          }
        ]
      },
      {
        "dimensions": {
          "max_context_tokens_inclusive": null,
          "min_context_tokens_exclusive": 0
        },
        "label": "OpenAI Chat · Request-length tier 1",
        "units": [
          {
            "amount": "0.002000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.000002",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0.002000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0.000002",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          }
        ]
      },
      {
        "dimensions": {
          "regime": "base"
        },
        "label": "Anthropic Messages · Base token rates",
        "units": [
          {
            "amount": "0.002000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.000002",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0.002000",
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        "label": "Anthropic Messages · Request-length tier 1",
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    ],
    "public_id": "nousresearch/hermes-3-llama-3.1-405b",
    "short": "Hermes 3 Llama 3.1 405B هو نموذج نصي عام من Nous Research بحجم 405B ضُبط بدقة على كامل المعلمات. تدعم محادثته القابلة للتوجيه عبر ChatML وJSON الموجّه بالمخططات وتنسيق استدعاء الدوال تحليل المصادر والكتابة والشيفرة والعمل متعدد الخطوات باستخدام الملاحظات التي تعيدها أدوات التطبيق."
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    "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers."
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    "current_reference": {
      "about_json_pointer": "/aboutHtml",
      "methods": [
        {
          "contract_json_pointer": "/methods/0/rawMethod/contract",
          "html_json_pointer": "/methods/0/html",
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        {
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          "html_json_pointer": "/methods/1/html",
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    "schema": "ailoot-native-model-representations-v1"
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  "schema": "ailoot-static-model-facts-v1",
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  "shortText": "Hermes 3 Llama 3.1 405B هو نموذج نصي عام من Nous Research بحجم 405B ضُبط بدقة على كامل المعلمات. تدعم محادثته القابلة للتوجيه عبر ChatML وJSON الموجّه بالمخططات وتنسيق استدعاء الدوال تحليل المصادر والكتابة والشيفرة والعمل متعدد الخطوات باستخدام الملاحظات التي تعيدها أدوات التطبيق.",
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}