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  "aboutHtml": "<p>Qwen2-VL-2B-Instruct — Qwenning tasvir va matn savollari uchun ko‘rsatmalarga moslangan, tasvir va til bilan ishlaydigan 2B modeli. Ishlab chiqaruvchi turli aniqlik va tomonlar nisbatidagi tasvirlar bilan ishlash hamda rasmlar ichidagi bir nechta tildagi matnni tushunishni tavsiflaydi. Yaratilgan natija berilgan vizual material va savolga yozma javobdir. Ishlab chiqaruvchi telefon va robot kabi qurilmalar bilan vizual agent sifatida foydalanishni ham tavsiflaydi. Bunday jarayon uchun joriy vizual muhit va matnli ko‘rsatmani bering; atrofdagi ilova taklif etilgan amalni bajaradi va keyingi savol uchun kuzatilgan holatni qaytaradi.</p><h4>Tasvir va aniq savolni bering</h4><p>Javob uchun kerak bo‘lgan dalil bor tasvirni tanlang, keyin talqin qilinadigan tafsilotni belgilang. Hujjat savoli ko‘rinadigan parcha haqida bo‘lishi; diagramma savoli esa tushuntiriladigan qatorlar, o‘qlar va taqqoslashni ko‘rsatishi mumkin. Javob tegishli tasvir manbasiga bog‘liq qolishi uchun tasvir identifikatorini so‘ralgan natija bilan saqlang.</p><p>Ishlab chiqaruvchi ingliz va xitoy tillaridan tashqari Yevropa tillari, yapon, koreys, arab va vetnam tillaridagi tasvir-matnni tushunishni ham ko‘rsatadi. Ko‘rinadigan matnni ko‘chirish, tushuntirish yoki tarjima qilishni so‘raganda asl ibora va yozuvni saqlang. Namunaviy topshiriqda ko‘rsatilgan yorliq va uning ma’nosini alohida tushuntirishni so‘rash mumkin.</p><h4>Aniqlik va vizual tokenlarni ongli tayyorlang</h4><p>Qwen2-VL tasvirni o‘zgaruvchan sonli vizual tokenlarga moslash uchun dinamik aniqlikdan foydalanadi. Modelning o‘z protsessori misolida standart oraliq har bir tasvir uchun 4 dan 16,384 gacha vizual tokendir. Modelning o‘z qo‘llanmasi tafsilot va qayta ishlash ehtiyojini muvozanatlash uchun minimal va maksimal piksel sozlamalarini, jumladan 256 dan 1,280 gacha torroq tasvir-token tayyorlash oralig‘ini ko‘rsatadi. Bu sozlamalar o‘lchamni o‘zgartirganda tomonlar nisbatini saqlaydi.</p><p>Ishlab chiqaruvchi kerakli balandlik va kenglikni belgilashga ham ruxsat beradi; bu qiymatlar 28 ning karralisiga yaxlitlanadi. Muhim yorliqlar o‘qiladigan tayyorlash usulini tanlang va qirqim ishlatganda asl tasvirni saqlang. Modelning o‘z misollari bir nechta tasvir va paketlarni o‘z ichiga olib, savoldagi alohida tasvir manbalarini belgilab saqlash imkonini beradi.</p><h4>Hujjatlashtirilgan vizual cheklovlar doirasida ishlang</h4><p>Ishlab chiqaruvchi murakkab ko‘p bosqichli ko‘rsatmalar, murakkab sahnalardagi obyektlarni sanash va uch o‘lchamli fazoviy mulohazada cheklovlarni ko‘rsatadi. Muayyan odamlar yoki brendlarni tanish ham to‘liq emasligini qayd etadi. Aniq vizual kuzatuv so‘rang va natija tayanadigan muayyan son, yorliq yoki nisbiy joylashuvni tekshiring.</p><p>Ishlab chiqaruvchi tasvir ma’lumotlar to‘plami 2023-yil iyunigacha yangilanganini aytadi. Yaqindagi yoki notanish yorliq uchun kerakli yozma kontekstni bering; tasvirning o‘zidan bu ma’lumotni aniqlashni kutmang. Qaytarilgan qaydda ko‘chirilgan yorliqni taxmin qilingan shaxs yoki obyekt nomidan ajrating.</p><h4>Tayyorlangan kirishlarni javob bilan saqlang</h4><p>E’lon qilingan checkpoint sozlamasi 32,768 maksimal pozitsiyani belgilaydi. Savol va vizual kirishlarni mos model protsessori bilan tayyorlab, so‘rovdagi tasvirlar tartibini saqlang. Modelning o‘z yordamchi vositasi mahalliy tasvirlar, base64 va tasvir manzillarini qabul qiladi.</p><p>Tanlangan 2B Instruct nomi, tasvir manbalari va tugallangan yozma javobni birga saqlang. Keyingi murojaat uchun tegishli materialni kiriting va tuzatiladigan muayyan kuzatuv yoki talqinni belgilang, keyin tuzatilgan natijani shu manbaga solishtiring.</p><p>Ailoot orqali /v1/chat/completions da aynan shu model ID sidan foydalaning va suhbatda tasvirni unga tegishli savol bilan birga saqlang. Tasvir mazmuni image_url shaklida beriladi; qo‘llab-quvvatlanadigan manba tasvir manzilini yoki base64 data URI ni o‘z ichiga olishi mumkin. To‘liq JSON javobni yoki stream yoqilganida barcha SSE qismlarini yig‘ing va tayyor natija bilan usage ma’lumotini saqlang.</p>",
  "aboutText": "Qwen2-VL-2B-Instruct — Qwenning tasvir va matn savollari uchun ko‘rsatmalarga moslangan, tasvir va til bilan ishlaydigan 2B modeli. Ishlab chiqaruvchi turli aniqlik va tomonlar nisbatidagi tasvirlar bilan ishlash hamda rasmlar ichidagi bir nechta tildagi matnni tushunishni tavsiflaydi. Yaratilgan natija berilgan vizual material va savolga yozma javobdir. Ishlab chiqaruvchi telefon va robot kabi qurilmalar bilan vizual agent sifatida foydalanishni ham tavsiflaydi. Bunday jarayon uchun joriy vizual muhit va matnli ko‘rsatmani bering; atrofdagi ilova taklif etilgan amalni bajaradi va keyingi savol uchun kuzatilgan holatni qaytaradi.\n\n### Tasvir va aniq savolni bering\n\nJavob uchun kerak bo‘lgan dalil bor tasvirni tanlang, keyin talqin qilinadigan tafsilotni belgilang. Hujjat savoli ko‘rinadigan parcha haqida bo‘lishi; diagramma savoli esa tushuntiriladigan qatorlar, o‘qlar va taqqoslashni ko‘rsatishi mumkin. Javob tegishli tasvir manbasiga bog‘liq qolishi uchun tasvir identifikatorini so‘ralgan natija bilan saqlang.\n\nIshlab chiqaruvchi ingliz va xitoy tillaridan tashqari Yevropa tillari, yapon, koreys, arab va vetnam tillaridagi tasvir-matnni tushunishni ham ko‘rsatadi. Ko‘rinadigan matnni ko‘chirish, tushuntirish yoki tarjima qilishni so‘raganda asl ibora va yozuvni saqlang. Namunaviy topshiriqda ko‘rsatilgan yorliq va uning ma’nosini alohida tushuntirishni so‘rash mumkin.\n\n### Aniqlik va vizual tokenlarni ongli tayyorlang\n\nQwen2-VL tasvirni o‘zgaruvchan sonli vizual tokenlarga moslash uchun dinamik aniqlikdan foydalanadi. Modelning o‘z protsessori misolida standart oraliq har bir tasvir uchun 4 dan 16,384 gacha vizual tokendir. Modelning o‘z qo‘llanmasi tafsilot va qayta ishlash ehtiyojini muvozanatlash uchun minimal va maksimal piksel sozlamalarini, jumladan 256 dan 1,280 gacha torroq tasvir-token tayyorlash oralig‘ini ko‘rsatadi. Bu sozlamalar o‘lchamni o‘zgartirganda tomonlar nisbatini saqlaydi.\n\nIshlab chiqaruvchi kerakli balandlik va kenglikni belgilashga ham ruxsat beradi; bu qiymatlar 28 ning karralisiga yaxlitlanadi. Muhim yorliqlar o‘qiladigan tayyorlash usulini tanlang va qirqim ishlatganda asl tasvirni saqlang. Modelning o‘z misollari bir nechta tasvir va paketlarni o‘z ichiga olib, savoldagi alohida tasvir manbalarini belgilab saqlash imkonini beradi.\n\n### Hujjatlashtirilgan vizual cheklovlar doirasida ishlang\n\nIshlab chiqaruvchi murakkab ko‘p bosqichli ko‘rsatmalar, murakkab sahnalardagi obyektlarni sanash va uch o‘lchamli fazoviy mulohazada cheklovlarni ko‘rsatadi. Muayyan odamlar yoki brendlarni tanish ham to‘liq emasligini qayd etadi. Aniq vizual kuzatuv so‘rang va natija tayanadigan muayyan son, yorliq yoki nisbiy joylashuvni tekshiring.\n\nIshlab chiqaruvchi tasvir ma’lumotlar to‘plami 2023-yil iyunigacha yangilanganini aytadi. Yaqindagi yoki notanish yorliq uchun kerakli yozma kontekstni bering; tasvirning o‘zidan bu ma’lumotni aniqlashni kutmang. Qaytarilgan qaydda ko‘chirilgan yorliqni taxmin qilingan shaxs yoki obyekt nomidan ajrating.\n\n### Tayyorlangan kirishlarni javob bilan saqlang\n\nE’lon qilingan checkpoint sozlamasi 32,768 maksimal pozitsiyani belgilaydi. Savol va vizual kirishlarni mos model protsessori bilan tayyorlab, so‘rovdagi tasvirlar tartibini saqlang. Modelning o‘z yordamchi vositasi mahalliy tasvirlar, base64 va tasvir manzillarini qabul qiladi.\n\nTanlangan 2B Instruct nomi, tasvir manbalari va tugallangan yozma javobni birga saqlang. Keyingi murojaat uchun tegishli materialni kiriting va tuzatiladigan muayyan kuzatuv yoki talqinni belgilang, keyin tuzatilgan natijani shu manbaga solishtiring.\n\nAiloot orqali /v1/chat/completions da aynan shu model ID sidan foydalaning va suhbatda tasvirni unga tegishli savol bilan birga saqlang. Tasvir mazmuni image_url shaklida beriladi; qo‘llab-quvvatlanadigan manba tasvir manzilini yoki base64 data URI ni o‘z ichiga olishi mumkin. To‘liq JSON javobni yoki stream yoqilganida barcha SSE qismlarini yig‘ing va tayyor natija bilan usage ma’lumotini saqlang.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">qwen2-vl-2b-instruct</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Yopish\">×</button></div><div class=\"idline\"><span>Boshqa /</span><code>qwen2-vl-2b-instruct</code><button type=\"button\" id=\"copy-id\">ID ni nusxalash</button></div><nav class=\"card-jump-nav\" aria-label=\"Model kartochkasi bo‘limlari\"><button type=\"button\" data-card-jump=\"overview\">Boshlash</button><button type=\"button\" data-card-jump=\"methods\">Kirish ma’lumotlari va usullar</button><button type=\"button\" data-card-jump=\"pricing\">Tariflar</button><button type=\"button\" data-card-jump=\"examples\">Namunalar</button><button type=\"button\" data-card-jump=\"results\">Natijalar</button><button type=\"button\" data-card-jump=\"aliases\">Taxalluslar</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"API usullari\"><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|qwen2-vl-2b-instruct\">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|qwen2-vl-2b-instruct\">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\">Boshlash</h3><p class=\"mdesc-full\">Qwen2-VL-2B-Instruct — Qwenning tasvirga oid savollar, rasmlardagi ko‘p tilli matn va vizual tushuntirishlar uchun tasvir va til bilan ishlaydigan modeli. Ko‘rinadigan dalillarga bog‘langan yozma natija uchun o‘qiladigan tasvir va aniq savol bering.</p><dl class=\"card-io\" data-card-io><div><dt>Qabul qilinadigan kirish ma’lumotlari</dt><dd>Matn · Rasmlar</dd></div><div><dt>Natijalar</dt><dd>Matn</dd></div></dl><details class=\"card-about\"><summary>Model haqida</summary><p class=\"note-s\" data-model-method-boundary>Bu tavsif model imkoniyatlarini yoritadi. Ailoot da tanlangan usul uchun mavjud kirish, chiqish va parametrlar quyida keltirilgan.</p><div class=\"mabout\" id=\"m-about\"><p>Qwen2-VL-2B-Instruct — Qwenning tasvir va matn savollari uchun ko‘rsatmalarga moslangan, tasvir va til bilan ishlaydigan 2B modeli. Ishlab chiqaruvchi turli aniqlik va tomonlar nisbatidagi tasvirlar bilan ishlash hamda rasmlar ichidagi bir nechta tildagi matnni tushunishni tavsiflaydi. Yaratilgan natija berilgan vizual material va savolga yozma javobdir. Ishlab chiqaruvchi telefon va robot kabi qurilmalar bilan vizual agent sifatida foydalanishni ham tavsiflaydi. Bunday jarayon uchun joriy vizual muhit va matnli ko‘rsatmani bering; atrofdagi ilova taklif etilgan amalni bajaradi va keyingi savol uchun kuzatilgan holatni qaytaradi.</p><h4>Tasvir va aniq savolni bering</h4><p>Javob uchun kerak bo‘lgan dalil bor tasvirni tanlang, keyin talqin qilinadigan tafsilotni belgilang. Hujjat savoli ko‘rinadigan parcha haqida bo‘lishi; diagramma savoli esa tushuntiriladigan qatorlar, o‘qlar va taqqoslashni ko‘rsatishi mumkin. Javob tegishli tasvir manbasiga bog‘liq qolishi uchun tasvir identifikatorini so‘ralgan natija bilan saqlang.</p><p>Ishlab chiqaruvchi ingliz va xitoy tillaridan tashqari Yevropa tillari, yapon, koreys, arab va vetnam tillaridagi tasvir-matnni tushunishni ham ko‘rsatadi. Ko‘rinadigan matnni ko‘chirish, tushuntirish yoki tarjima qilishni so‘raganda asl ibora va yozuvni saqlang. Namunaviy topshiriqda ko‘rsatilgan yorliq va uning ma’nosini alohida tushuntirishni so‘rash mumkin.</p><h4>Aniqlik va vizual tokenlarni ongli tayyorlang</h4><p>Qwen2-VL tasvirni o‘zgaruvchan sonli vizual tokenlarga moslash uchun dinamik aniqlikdan foydalanadi. Modelning o‘z protsessori misolida standart oraliq har bir tasvir uchun 4 dan 16,384 gacha vizual tokendir. Modelning o‘z qo‘llanmasi tafsilot va qayta ishlash ehtiyojini muvozanatlash uchun minimal va maksimal piksel sozlamalarini, jumladan 256 dan 1,280 gacha torroq tasvir-token tayyorlash oralig‘ini ko‘rsatadi. Bu sozlamalar o‘lchamni o‘zgartirganda tomonlar nisbatini saqlaydi.</p><p>Ishlab chiqaruvchi kerakli balandlik va kenglikni belgilashga ham ruxsat beradi; bu qiymatlar 28 ning karralisiga yaxlitlanadi. Muhim yorliqlar o‘qiladigan tayyorlash usulini tanlang va qirqim ishlatganda asl tasvirni saqlang. Modelning o‘z misollari bir nechta tasvir va paketlarni o‘z ichiga olib, savoldagi alohida tasvir manbalarini belgilab saqlash imkonini beradi.</p><h4>Hujjatlashtirilgan vizual cheklovlar doirasida ishlang</h4><p>Ishlab chiqaruvchi murakkab ko‘p bosqichli ko‘rsatmalar, murakkab sahnalardagi obyektlarni sanash va uch o‘lchamli fazoviy mulohazada cheklovlarni ko‘rsatadi. Muayyan odamlar yoki brendlarni tanish ham to‘liq emasligini qayd etadi. Aniq vizual kuzatuv so‘rang va natija tayanadigan muayyan son, yorliq yoki nisbiy joylashuvni tekshiring.</p><p>Ishlab chiqaruvchi tasvir ma’lumotlar to‘plami 2023-yil iyunigacha yangilanganini aytadi. Yaqindagi yoki notanish yorliq uchun kerakli yozma kontekstni bering; tasvirning o‘zidan bu ma’lumotni aniqlashni kutmang. Qaytarilgan qaydda ko‘chirilgan yorliqni taxmin qilingan shaxs yoki obyekt nomidan ajrating.</p><h4>Tayyorlangan kirishlarni javob bilan saqlang</h4><p>E’lon qilingan checkpoint sozlamasi 32,768 maksimal pozitsiyani belgilaydi. Savol va vizual kirishlarni mos model protsessori bilan tayyorlab, so‘rovdagi tasvirlar tartibini saqlang. Modelning o‘z yordamchi vositasi mahalliy tasvirlar, base64 va tasvir manzillarini qabul qiladi.</p><p>Tanlangan 2B Instruct nomi, tasvir manbalari va tugallangan yozma javobni birga saqlang. Keyingi murojaat uchun tegishli materialni kiriting va tuzatiladigan muayyan kuzatuv yoki talqinni belgilang, keyin tuzatilgan natijani shu manbaga solishtiring.</p><p>Ailoot orqali /v1/chat/completions da aynan shu model ID sidan foydalaning va suhbatda tasvirni unga tegishli savol bilan birga saqlang. Tasvir mazmuni image_url shaklida beriladi; qo‘llab-quvvatlanadigan manba tasvir manzilini yoki base64 data URI ni o‘z ichiga olishi mumkin. To‘liq JSON javobni yoki stream yoqilganida barcha SSE qismlarini yig‘ing va tayyor natija bilan usage ma’lumotini saqlang.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Ailoot da mavjud · kirish ma’lumotlari va usullar</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · OpenAI Chat</b> <code>POST /v1/chat/completions</code></summary><dl class=\"method-capabilities\"><div><dt>Kirish</dt><dd><code>text</code>, <code>image</code></dd></div><div><dt>Chiqish</dt><dd><code>text</code></dd></div><div><dt>Chiqish formati</dt><dd>JSON or SSE</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Maydon</th><th>Tur</th><th>Talab</th><th>Qiymatlar va cheklovlar</th><th>Standart</th></tr></thead><tbody><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>string</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>qwen2-vl-2b-instruct</div><div>Shartlar: Ailoot soʻrovlarini yoʻnaltirish uchun aynan shu selektordan foydalaning.</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">messages</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>array</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>Shartlar: </div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">stream</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>boolean</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>Shartlar: </div></td><td data-cell-label=\"Standart\" data-default=\"known\"><span class=\"card-cell-label\">Standart</span>false</td></tr></tbody></table></div><details class=\"card-about\" data-material-combinations><summary>Kirish materiallari birikmalari</summary><p class=\"note-s\"><b>text_input</b> · Majburiy: messages</p><p class=\"note-s\"><b>image_with_text</b> · Majburiy: messages with actual image content blocks</p></details><details class=\"note-s\" data-method-contract><summary>Usul parametrlari va hayot sikli</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parametr</th><th>Parametr talablari</th></tr></thead><tbody><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>content_type</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>application/json</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>required</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>model, messages</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>optional</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>stream</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>material_types</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>text, image</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>conditions</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>Ailoot soʻrovlarini yoʻnaltirish uchun aynan shu selektordan foydalaning., Aynan tanlangan model tasvirni tushunishni qoʻllab-quvvatlasa, ushbu protokol orqali tasvir kontenti uzatiladi. Protokolning soʻrovni qabul qilishi har bir modelda tasvir bilan ishlash imkoniyati borligini tasdiqlamaydi.</td></tr></tbody></table></div><p>Usul taxalluslari: <code>/chat/completions</code></p><p>Hayot sikli: <code>synchronous_or_streamed</code></p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Tariflar</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.</p><dl data-price-conditions><dt>Tezkor rejim</dt><dd>Standart tarif <span class=\"note-s\">Tezkor rejim tanlanganda</span></dd><dt>Flex rejimi</dt><dd>Standart tarif <span class=\"note-s\">flex rejimi tanlanganda</span></dd><dt>Maksimal fikrlash darajasi</dt><dd>Standart tarif <span class=\"note-s\">Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda</span></dd><dt>Ochiq ko‘rsatilgan keshlash narxlari</dt><dd>Yoqilmagan <span class=\"note-s\">Ochiq ko‘rsatilgan keshlash so‘ralganda</span></dd><dt>Faqat matn uchun nol tariflar</dt><dd>Kesh, vositalar va media uchun alohida keltirilgan narxlash shartlari amal qiladi. <span class=\"note-s\">Faqat matnli kirish va chiqish uchun</span></dd></dl></div><div data-declared-tariff-pricing><h4>Ailoot tariflari</h4><h4>Sozlamalar bo‘yicha narxlar</h4><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Sozlama</th><th>Tariflar jadvali</th><th>To‘lov</th></tr></thead><tbody><tr><th data-cell-label=\"Sozlama\" scope=\"row\"><span class=\"card-cell-label\">Sozlama</span>Tokenlar uchun bazaviy tariflar</th><td data-cell-label=\"Tariflar jadvali\"><span class=\"card-cell-label\">Tariflar jadvali</span>Asosiy tarif</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Kirish · Kirish tokenlari</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Chiqish · Chiqish tokenlari</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshdan o‘qish</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish, 1 soat</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. <a href=\"/docs/uz/billing/reserve/\">Summani band qilish va to‘lovni hisoblash tartibi →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">So‘rov namunalari</h3><h4>Ailoot Ultra · OpenAI Chat</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kod variantlari\"><button class=\"cg-tab\" id=\"model-code-2869-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2869-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · Bir marta yarating va natijani to‘liq saqlang</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kodni nusxalash\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-2869-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2869-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nexport AILOOT_API_KEY\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np=json.loads(&#39;{&quot;model&quot;: &quot;qwen2-vl-2b-instruct&quot;, &quot;messages&quot;: [{&quot;role&quot;: &quot;user&quot;, &quot;content&quot;: &quot;Explain how a rainbow forms.&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\n# Submit once. Retain the complete result, original identifiers and every response header.\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Natijalarni olish va saqlash</h3><h4>Ailoot Ultra · OpenAI Chat</h4><p class=\"note-s\">JSON or SSE</p><div class=\"card-result-process\" data-all-results><h5>Barcha tayyor natijalarni saqlash</h5><p class=\"note-s\">Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.</p><p class=\"note-s\">Har bir kontent blokini, vosita chaqiruvining ID sini, qaytarilgan boʻlsa fikrlash imzosini, barcha SSE oʻzgarishlarini va foydalanish maʼlumotlarini toʻliq saqlang. Dastlabki matn parchasi butun natija emas.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Asl javobni tekshirish kerak bo‘lsa</h5><p class=\"note-s\">Asl X-Client-Request-ID ni, javob va sarlavhalarni saqlang. Natijaning nomaʼlum boʻlishi yoki result_pending_check ikkinchi marta yaratishga ruxsat bermaydi.</p></div><details class=\"card-about\" data-output-fields><summary>Javob maydonlari</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>Maydon</th><th>Tur</th></tr></thead><tbody><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">choices[]</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>object</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">usage</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>object</td></tr></tbody></table></div></details><details class=\"card-about\" data-method-errors><summary>Xatolar va keyingi qadamlar</summary><div class=\"tw\" data-card-table=\"errors\"><table><thead><tr><th>Javob</th><th>Shart</th><th>Keyingi qadam</th></tr></thead><tbody><tr><th data-cell-label=\"Javob\" scope=\"row\"><span class=\"card-cell-label\">Javob</span>400 · <code>invalid_request_error</code></th><td data-cell-label=\"Shart\"><span class=\"card-cell-label\">Shart</span>Majburiy maydon, model selektori, tur yoki kirish maʼlumotining ifodalanishi notoʻgʻri.</td><td data-cell-label=\"Keyingi qadam\"><span class=\"card-cell-label\">Keyingi qadam</span>Alohida soʻrov tayyorlashdan oldin javobda qaytarilgan tekshiruv tafsilotlarini koʻrib chiqing.</td></tr><tr><th data-cell-label=\"Javob\" scope=\"row\"><span class=\"card-cell-label\">Javob</span><code></code></th><td data-cell-label=\"Shart\"><span class=\"card-cell-label\">Shart</span>Asl soʻrov yoki natija nomaʼlum yoki tekshirishni talab qiladi.</td><td data-cell-label=\"Keyingi qadam\"><span class=\"card-cell-label\">Keyingi qadam</span>Asl identifikatorlar va sarlavhalarni saqlang; faqat qoʻllab-quvvatlanadigan holat/kutubxona yozuvlarini oʻqing. Yaratish soʻrovini qayta yubormang.</td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Taxalluslar</h3><h4>Model taxalluslari</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=qwen2-vl-2b-instruct&amp;route=Ultra&amp;caller=qwen2-vl-2b-instruct&amp;fmt=chat\"><code>qwen2-vl-2b-instruct</code></a></span></p><h4>Usul yo‘llari taxalluslari</h4><p class=\"note-s\"><code>/chat/completions</code></p><h4>Chaqirish uchun tegishli ID lar</h4><p class=\"note-s\"><a href=\"#m=qwen2-vl-2b-instruct&amp;route=Ultra&amp;caller=qwen2-vl-2b-instruct&amp;fmt=chat\"><code>qwen2-vl-2b-instruct</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "qwen2-vl-2b-instruct",
        "fmt": "chat",
        "http": "POST",
        "path": "/v1/chat/completions",
        "request_model_id": "qwen2-vl-2b-instruct",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|chat|/v1/chat/completions|qwen2-vl-2b-instruct",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": 0,
        "cache_write": 0,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "accepted_material_guidance": {
              "content_type": "application/json",
              "example_scope": "The preserved text example is one valid request form, not the full protocol input set.",
              "image_condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.",
              "material_types": [
                "text",
                "image"
              ],
              "text_file_material": "Actual UTF-8 text can be inserted in a text content part."
            },
            "all_results": "Retain the complete response and headers, original identifiers, every actual output and all usage/accounting fields. Save each unique owned asset and retain every role pointing to it.",
            "authentication": {
              "header": "Authorization",
              "scheme": "Bearer",
              "value": "$AILOOT_API_KEY"
            },
            "errors": [
              {
                "condition": "Majburiy maydon, model selektori, tur yoki kirish maʼlumotining ifodalanishi notoʻgʻri.",
                "http_status": 400,
                "recovery": "Alohida soʻrov tayyorlashdan oldin javobda qaytarilgan tekshiruv tafsilotlarini koʻrib chiqing.",
                "type": "invalid_request_error"
              },
              {
                "condition": "Asl soʻrov yoki natija nomaʼlum yoki tekshirishni talab qiladi.",
                "http_status": null,
                "recovery": "Asl identifikatorlar va sarlavhalarni saqlang; faqat qoʻllab-quvvatlanadigan holat/kutubxona yozuvlarini oʻqing. Yaratish soʻrovini qayta yubormang.",
                "type": null
              }
            ],
            "lifecycle": {
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/chat/completions"
              },
              "mode": "synchronous_or_streamed",
              "status": [],
              "unknown": "Asl X-Client-Request-ID ni, javob va sarlavhalarni saqlang. Natijaning nomaʼlum boʻlishi yoki result_pending_check ikkinchi marta yaratishga ruxsat bermaydi.",
              "unknown_no_replay": true
            },
            "material_combinations": [
              {
                "materials": [
                  "text"
                ],
                "mode": "text_input",
                "required": [
                  "messages"
                ]
              },
              {
                "condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.",
                "materials": [
                  "text",
                  "image"
                ],
                "mode": "image_with_text",
                "required": [
                  "messages with actual image content blocks"
                ]
              }
            ],
            "model_capability_scope": {
              "all_models_vision_claim": false,
              "manufacturer_description_preserved": "Retain grounded accepted legacy vision descriptions; a plain text example is not a capability ceiling.",
              "model_vision": "conditional_on_exact_model_capability",
              "transport_materials": [
                "text",
                "image"
              ],
              "video_audio_inferred": false
            },
            "outputs": {
              "all_results": "Har bir kontent blokini, vosita chaqiruvining ID sini, qaytarilgan boʻlsa fikrlash imzosini, barcha SSE oʻzgarishlarini va foydalanish maʼlumotlarini toʻliq saqlang. Dastlabki matn parchasi butun natija emas.",
              "every_actual_output": true,
              "family": "text",
              "fields": [
                {
                  "name": "choices[]",
                  "type": "object"
                },
                {
                  "name": "usage",
                  "type": "object"
                }
              ],
              "format": "JSON or SSE"
            },
            "parameters": [
              {
                "conditions": "Ailoot soʻrovlarini yoʻnaltirish uchun aynan shu selektordan foydalaning.",
                "default_known": false,
                "enum": [
                  "qwen2-vl-2b-instruct"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "conditions": "",
                "default_known": false,
                "enum_known": false,
                "items": {
                  "properties": {
                    "content": {
                      "oneOf": [
                        {
                          "type": "string"
                        },
                        {
                          "items": {
                            "oneOf": [
                              {
                                "properties": {
                                  "text": {
                                    "type": "string"
                                  },
                                  "type": {
                                    "const": "text"
                                  }
                                },
                                "required": [
                                  "type",
                                  "text"
                                ],
                                "type": "object"
                              },
                              {
                                "properties": {
                                  "image_url": {
                                    "properties": {
                                      "detail": {
                                        "type": "string"
                                      },
                                      "url": {
                                        "type": "string"
                                      }
                                    },
                                    "required": [
                                      "url"
                                    ],
                                    "type": "object"
                                  },
                                  "type": {
                                    "const": "image_url"
                                  }
                                },
                                "required": [
                                  "type",
                                  "image_url"
                                ],
                                "type": "object"
                              }
                            ]
                          },
                          "type": "array"
                        }
                      ]
                    },
                    "role": {
                      "type": "string"
                    }
                  },
                  "required": [
                    "role",
                    "content"
                  ],
                  "type": "object"
                },
                "minItems": 1,
                "name": "messages",
                "required": true,
                "type": "array"
              },
              {
                "conditions": "",
                "default": false,
                "default_known": true,
                "enum_known": false,
                "name": "stream",
                "required": false,
                "type": "boolean"
              }
            ],
            "request_schema": {
              "additionalProperties": true,
              "properties": {
                "messages": {
                  "items": {
                    "properties": {
                      "content": {
                        "oneOf": [
                          {
                            "type": "string"
                          },
                          {
                            "items": {
                              "oneOf": [
                                {
                                  "properties": {
                                    "text": {
                                      "type": "string"
                                    },
                                    "type": {
                                      "const": "text"
                                    }
                                  },
                                  "required": [
                                    "type",
                                    "text"
                                  ],
                                  "type": "object"
                                },
                                {
                                  "properties": {
                                    "image_url": {
                                      "properties": {
                                        "detail": {
                                          "type": "string"
                                        },
                                        "url": {
                                          "type": "string"
                                        }
                                      },
                                      "required": [
                                        "url"
                                      ],
                                      "type": "object"
                                    },
                                    "type": {
                                      "const": "image_url"
                                    }
                                  },
                                  "required": [
                                    "type",
                                    "image_url"
                                  ],
                                  "type": "object"
                                }
                              ]
                            },
                            "type": "array"
                          }
                        ]
                      },
                      "role": {
                        "type": "string"
                      }
                    },
                    "required": [
                      "role",
                      "content"
                    ],
                    "type": "object"
                  },
                  "minItems": 1,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "qwen2-vl-2b-instruct"
                  ],
                  "type": "string"
                },
                "stream": {
                  "default": false,
                  "type": "boolean"
                }
              },
              "required": [
                "model",
                "messages"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "messages": [
                  {
                    "content": "Explain how a rainbow forms.",
                    "role": "user"
                  }
                ],
                "model": "qwen2-vl-2b-instruct"
              },
              "content_type": "application/json",
              "example_is_offline_content": true
            },
            "usage": {
              "meter": "Use the accepted method price and actual recorded usage; the request reserve is an estimate. A billing unit does not add an input capability.",
              "preserve": "Keep all returned usage, accounting and request identifiers with every actual output.",
              "settlement": "Retain the original operation; reconcile its result and accounting once."
            }
          },
          "input": {
            "conditions": [
              "Ailoot soʻrovlarini yoʻnaltirish uchun aynan shu selektordan foydalaning.",
              "Aynan tanlangan model tasvirni tushunishni qoʻllab-quvvatlasa, ushbu protokol orqali tasvir kontenti uzatiladi. Protokolning soʻrovni qabul qilishi har bir modelda tasvir bilan ishlash imkoniyati borligini tasdiqlamaydi."
            ],
            "content_type": "application/json",
            "material_types": [
              "text",
              "image"
            ],
            "optional": [
              "stream"
            ],
            "required": [
              "model",
              "messages"
            ]
          },
          "lifecycle": {
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/chat/completions"
            },
            "mode": "synchronous_or_streamed",
            "status": [],
            "unknown": "Keep the original X-Client-Request-ID, response and headers. An unknown or result_pending_check outcome does not authorize a second creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/chat/completions"
          },
          "method_aliases": [
            "/chat/completions"
          ],
          "output": {
            "all_results": "Retain every content block, tool-call ID, thinking signature when returned, all SSE deltas and complete usage. A first text fragment is not the whole result.",
            "every_actual_output": true,
            "family": "text",
            "fields": [
              {
                "name": "choices[]",
                "type": "object"
              },
              {
                "name": "usage",
                "type": "object"
              }
            ],
            "format": "JSON or SSE"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "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",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0",
                "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}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"qwen2-vl-2b-instruct\", \"messages\": [{\"role\": \"user\", \"content\": \"Explain how a rainbow forms.\"}]}')\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\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": 1,
        "flex_multiplier": 1,
        "fmt": "chat",
        "http": "POST",
        "in": 0,
        "input": [
          "text",
          "image"
        ],
        "input_conditions": {
          "image": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model."
        },
        "label": "OpenAI Chat",
        "max_out": null,
        "max_reasoning_effort_multiplier": 1,
        "method_aliases": [
          "/chat/completions"
        ],
        "out": 0,
        "output": [
          "text"
        ],
        "path": "/v1/chat/completions",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Standard rate",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Standard rate",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Standard rate",
            "when": "When maximum reasoning effort uses the default adjustment"
          },
          {
            "label": "Explicit cache pricing",
            "value": "Not enabled",
            "when": "When explicit cache is requested"
          },
          {
            "label": "Faqat matn uchun nol tariflar",
            "value": "Kesh, vositalar va media uchun alohida keltirilgan narxlash shartlari amal qiladi.",
            "when": "Faqat matnli kirish va chiqish uchun"
          }
        ],
        "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",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "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",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0",
                "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": "qwen2-vl-2b-instruct",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "units": [
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0",
            "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",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0",
            "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": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": "0",
            "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": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": "0",
            "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"
          }
        ]
      }
    },
    {
      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">qwen2-vl-2b-instruct</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Yopish\">×</button></div><div class=\"idline\"><span>Boshqa /</span><code>qwen2-vl-2b-instruct</code><button type=\"button\" id=\"copy-id\">ID ni nusxalash</button></div><nav class=\"card-jump-nav\" aria-label=\"Model kartochkasi bo‘limlari\"><button type=\"button\" data-card-jump=\"overview\">Boshlash</button><button type=\"button\" data-card-jump=\"methods\">Kirish ma’lumotlari va usullar</button><button type=\"button\" data-card-jump=\"pricing\">Tariflar</button><button type=\"button\" data-card-jump=\"examples\">Namunalar</button><button type=\"button\" data-card-jump=\"results\">Natijalar</button><button type=\"button\" data-card-jump=\"aliases\">Taxalluslar</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"API usullari\"><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|qwen2-vl-2b-instruct\">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|qwen2-vl-2b-instruct\">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\">Boshlash</h3><p class=\"mdesc-full\">Qwen2-VL-2B-Instruct — Qwenning tasvirga oid savollar, rasmlardagi ko‘p tilli matn va vizual tushuntirishlar uchun tasvir va til bilan ishlaydigan modeli. Ko‘rinadigan dalillarga bog‘langan yozma natija uchun o‘qiladigan tasvir va aniq savol bering.</p><dl class=\"card-io\" data-card-io><div><dt>Qabul qilinadigan kirish ma’lumotlari</dt><dd>Matn · Rasmlar</dd></div><div><dt>Natijalar</dt><dd>json · sse</dd></div></dl><details class=\"card-about\"><summary>Model haqida</summary><p class=\"note-s\" data-model-method-boundary>Bu tavsif model imkoniyatlarini yoritadi. Ailoot da tanlangan usul uchun mavjud kirish, chiqish va parametrlar quyida keltirilgan.</p><div class=\"mabout\" id=\"m-about\"><p>Qwen2-VL-2B-Instruct — Qwenning tasvir va matn savollari uchun ko‘rsatmalarga moslangan, tasvir va til bilan ishlaydigan 2B modeli. Ishlab chiqaruvchi turli aniqlik va tomonlar nisbatidagi tasvirlar bilan ishlash hamda rasmlar ichidagi bir nechta tildagi matnni tushunishni tavsiflaydi. Yaratilgan natija berilgan vizual material va savolga yozma javobdir. Ishlab chiqaruvchi telefon va robot kabi qurilmalar bilan vizual agent sifatida foydalanishni ham tavsiflaydi. Bunday jarayon uchun joriy vizual muhit va matnli ko‘rsatmani bering; atrofdagi ilova taklif etilgan amalni bajaradi va keyingi savol uchun kuzatilgan holatni qaytaradi.</p><h4>Tasvir va aniq savolni bering</h4><p>Javob uchun kerak bo‘lgan dalil bor tasvirni tanlang, keyin talqin qilinadigan tafsilotni belgilang. Hujjat savoli ko‘rinadigan parcha haqida bo‘lishi; diagramma savoli esa tushuntiriladigan qatorlar, o‘qlar va taqqoslashni ko‘rsatishi mumkin. Javob tegishli tasvir manbasiga bog‘liq qolishi uchun tasvir identifikatorini so‘ralgan natija bilan saqlang.</p><p>Ishlab chiqaruvchi ingliz va xitoy tillaridan tashqari Yevropa tillari, yapon, koreys, arab va vetnam tillaridagi tasvir-matnni tushunishni ham ko‘rsatadi. Ko‘rinadigan matnni ko‘chirish, tushuntirish yoki tarjima qilishni so‘raganda asl ibora va yozuvni saqlang. Namunaviy topshiriqda ko‘rsatilgan yorliq va uning ma’nosini alohida tushuntirishni so‘rash mumkin.</p><h4>Aniqlik va vizual tokenlarni ongli tayyorlang</h4><p>Qwen2-VL tasvirni o‘zgaruvchan sonli vizual tokenlarga moslash uchun dinamik aniqlikdan foydalanadi. Modelning o‘z protsessori misolida standart oraliq har bir tasvir uchun 4 dan 16,384 gacha vizual tokendir. Modelning o‘z qo‘llanmasi tafsilot va qayta ishlash ehtiyojini muvozanatlash uchun minimal va maksimal piksel sozlamalarini, jumladan 256 dan 1,280 gacha torroq tasvir-token tayyorlash oralig‘ini ko‘rsatadi. Bu sozlamalar o‘lchamni o‘zgartirganda tomonlar nisbatini saqlaydi.</p><p>Ishlab chiqaruvchi kerakli balandlik va kenglikni belgilashga ham ruxsat beradi; bu qiymatlar 28 ning karralisiga yaxlitlanadi. Muhim yorliqlar o‘qiladigan tayyorlash usulini tanlang va qirqim ishlatganda asl tasvirni saqlang. Modelning o‘z misollari bir nechta tasvir va paketlarni o‘z ichiga olib, savoldagi alohida tasvir manbalarini belgilab saqlash imkonini beradi.</p><h4>Hujjatlashtirilgan vizual cheklovlar doirasida ishlang</h4><p>Ishlab chiqaruvchi murakkab ko‘p bosqichli ko‘rsatmalar, murakkab sahnalardagi obyektlarni sanash va uch o‘lchamli fazoviy mulohazada cheklovlarni ko‘rsatadi. Muayyan odamlar yoki brendlarni tanish ham to‘liq emasligini qayd etadi. Aniq vizual kuzatuv so‘rang va natija tayanadigan muayyan son, yorliq yoki nisbiy joylashuvni tekshiring.</p><p>Ishlab chiqaruvchi tasvir ma’lumotlar to‘plami 2023-yil iyunigacha yangilanganini aytadi. Yaqindagi yoki notanish yorliq uchun kerakli yozma kontekstni bering; tasvirning o‘zidan bu ma’lumotni aniqlashni kutmang. Qaytarilgan qaydda ko‘chirilgan yorliqni taxmin qilingan shaxs yoki obyekt nomidan ajrating.</p><h4>Tayyorlangan kirishlarni javob bilan saqlang</h4><p>E’lon qilingan checkpoint sozlamasi 32,768 maksimal pozitsiyani belgilaydi. Savol va vizual kirishlarni mos model protsessori bilan tayyorlab, so‘rovdagi tasvirlar tartibini saqlang. Modelning o‘z yordamchi vositasi mahalliy tasvirlar, base64 va tasvir manzillarini qabul qiladi.</p><p>Tanlangan 2B Instruct nomi, tasvir manbalari va tugallangan yozma javobni birga saqlang. Keyingi murojaat uchun tegishli materialni kiriting va tuzatiladigan muayyan kuzatuv yoki talqinni belgilang, keyin tuzatilgan natijani shu manbaga solishtiring.</p><p>Ailoot orqali /v1/chat/completions da aynan shu model ID sidan foydalaning va suhbatda tasvirni unga tegishli savol bilan birga saqlang. Tasvir mazmuni image_url shaklida beriladi; qo‘llab-quvvatlanadigan manba tasvir manzilini yoki base64 data URI ni o‘z ichiga olishi mumkin. To‘liq JSON javobni yoki stream yoqilganida barcha SSE qismlarini yig‘ing va tayyor natija bilan usage ma’lumotini saqlang.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Ailoot da mavjud · kirish ma’lumotlari va usullar</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · Anthropic Messages</b> <code>POST /v1/messages</code></summary><dl class=\"method-capabilities\"><div><dt>Kirish</dt><dd><code>text</code>, <code>image</code></dd></div><div><dt>Chiqish</dt><dd><code>json</code>, <code>sse</code></dd></div><div><dt>Chiqish formati</dt><dd>JSON or SSE</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Maydon</th><th>Tur</th><th>Talab</th><th>Qiymatlar va cheklovlar</th><th>Standart</th></tr></thead><tbody><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>string</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>qwen2-vl-2b-instruct</div><div>Shartlar: Ailoot soʻrovlarini yoʻnaltirish uchun aynan shu selektordan foydalaning.</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">messages</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>array</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>Shartlar: </div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">stream</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>boolean</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>Shartlar: </div></td><td data-cell-label=\"Standart\" data-default=\"known\"><span class=\"card-cell-label\">Standart</span>false</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">max_tokens</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>integer</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>Eng kam: 1</div><div>Shartlar: </div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr></tbody></table></div><details class=\"card-about\" data-material-combinations><summary>Kirish materiallari birikmalari</summary><p class=\"note-s\"><b>text_input</b> · Majburiy: messages</p><p class=\"note-s\"><b>image_with_text</b> · Majburiy: messages with actual image content blocks</p></details><details class=\"note-s\" data-method-contract><summary>Usul parametrlari va hayot sikli</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parametr</th><th>Parametr talablari</th></tr></thead><tbody><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>content_type</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>application/json</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>required</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>model, messages, max_tokens</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>optional</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>stream</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>material_types</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>text, image</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>conditions</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>Ailoot soʻrovlarini yoʻnaltirish uchun aynan shu selektordan foydalaning., Aynan tanlangan model tasvirni tushunishni qoʻllab-quvvatlasa, ushbu protokol orqali tasvir kontenti uzatiladi. Protokolning soʻrovni qabul qilishi har bir modelda tasvir bilan ishlash imkoniyati borligini tasdiqlamaydi.</td></tr></tbody></table></div><p>Hayot sikli: <code>synchronous_or_streamed</code></p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Tariflar</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.</p><dl data-price-conditions><dt>Tezkor rejim</dt><dd>Standart tarif <span class=\"note-s\">Tezkor rejim tanlanganda</span></dd><dt>Flex rejimi</dt><dd>Standart tarif <span class=\"note-s\">flex rejimi tanlanganda</span></dd><dt>Maksimal fikrlash darajasi</dt><dd>Standart tarif <span class=\"note-s\">Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda</span></dd><dt>Ochiq ko‘rsatilgan keshlash narxlari</dt><dd>Yoqilmagan <span class=\"note-s\">Ochiq ko‘rsatilgan keshlash so‘ralganda</span></dd><dt>Faqat matn uchun nol tariflar</dt><dd>Kesh, vositalar va media uchun alohida keltirilgan narxlash shartlari amal qiladi. <span class=\"note-s\">Faqat matnli kirish va chiqish uchun</span></dd></dl></div><div data-declared-tariff-pricing><h4>Ailoot tariflari</h4><h4>Sozlamalar bo‘yicha narxlar</h4><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Sozlama</th><th>Tariflar jadvali</th><th>To‘lov</th></tr></thead><tbody><tr><th data-cell-label=\"Sozlama\" scope=\"row\"><span class=\"card-cell-label\">Sozlama</span>Tokenlar uchun bazaviy tariflar</th><td data-cell-label=\"Tariflar jadvali\"><span class=\"card-cell-label\">Tariflar jadvali</span>Asosiy tarif</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Kirish · Kirish tokenlari</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Chiqish · Chiqish tokenlari</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshdan o‘qish</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish, 1 soat</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. <a href=\"/docs/uz/billing/reserve/\">Summani band qilish va to‘lovni hisoblash tartibi →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">So‘rov namunalari</h3><h4>Ailoot Ultra · Anthropic Messages</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kod variantlari\"><button class=\"cg-tab\" id=\"model-code-2870-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2870-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · Bir marta yarating va natijani to‘liq saqlang</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kodni nusxalash\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-2870-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2870-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nexport AILOOT_API_KEY\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np=json.loads(&#39;{&quot;model&quot;: &quot;qwen2-vl-2b-instruct&quot;, &quot;messages&quot;: [{&quot;role&quot;: &quot;user&quot;, &quot;content&quot;: &quot;Explain how a rainbow forms.&quot;}], &quot;max_tokens&quot;: 256}&#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/messages \\\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\n# Submit once. Retain the complete result, original identifiers and every response header.\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Natijalarni olish va saqlash</h3><h4>Ailoot Ultra · Anthropic Messages</h4><p class=\"note-s\">JSON or SSE</p><div class=\"card-result-process\" data-all-results><h5>Barcha tayyor natijalarni saqlash</h5><p class=\"note-s\">Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.</p><p class=\"note-s\">Har bir kontent blokini, vosita chaqiruvining ID sini, qaytarilgan boʻlsa fikrlash imzosini, barcha SSE oʻzgarishlarini va foydalanish maʼlumotlarini toʻliq saqlang. Dastlabki matn parchasi butun natija emas.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Asl javobni tekshirish kerak bo‘lsa</h5><p class=\"note-s\">Asl X-Client-Request-ID ni, javob va sarlavhalarni saqlang. Natijaning nomaʼlum boʻlishi yoki result_pending_check ikkinchi marta yaratishga ruxsat bermaydi.</p></div><details class=\"card-about\" data-output-fields><summary>Javob maydonlari</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>Maydon</th><th>Tur</th></tr></thead><tbody><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">content[]</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>object</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">usage</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>object</td></tr></tbody></table></div></details><details class=\"card-about\" data-method-errors><summary>Xatolar va keyingi qadamlar</summary><div class=\"tw\" data-card-table=\"errors\"><table><thead><tr><th>Javob</th><th>Shart</th><th>Keyingi qadam</th></tr></thead><tbody><tr><th data-cell-label=\"Javob\" scope=\"row\"><span class=\"card-cell-label\">Javob</span>400 · <code>invalid_request_error</code></th><td data-cell-label=\"Shart\"><span class=\"card-cell-label\">Shart</span>Majburiy maydon, model selektori, tur yoki kirish maʼlumotining ifodalanishi notoʻgʻri.</td><td data-cell-label=\"Keyingi qadam\"><span class=\"card-cell-label\">Keyingi qadam</span>Alohida soʻrov tayyorlashdan oldin javobda qaytarilgan tekshiruv tafsilotlarini koʻrib chiqing.</td></tr><tr><th data-cell-label=\"Javob\" scope=\"row\"><span class=\"card-cell-label\">Javob</span><code></code></th><td data-cell-label=\"Shart\"><span class=\"card-cell-label\">Shart</span>Asl soʻrov yoki natija nomaʼlum yoki tekshirishni talab qiladi.</td><td data-cell-label=\"Keyingi qadam\"><span class=\"card-cell-label\">Keyingi qadam</span>Asl identifikatorlar va sarlavhalarni saqlang; faqat qoʻllab-quvvatlanadigan holat/kutubxona yozuvlarini oʻqing. Yaratish soʻrovini qayta yubormang.</td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Taxalluslar</h3><h4>Model taxalluslari</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=qwen2-vl-2b-instruct&amp;route=Ultra&amp;caller=qwen2-vl-2b-instruct&amp;fmt=messages\"><code>qwen2-vl-2b-instruct</code></a></span></p><h4>Usul yo‘llari taxalluslari</h4><p class=\"note-s\"><code>/chat/completions</code></p><h4>Chaqirish uchun tegishli ID lar</h4><p class=\"note-s\"><a href=\"#m=qwen2-vl-2b-instruct&amp;route=Ultra&amp;caller=qwen2-vl-2b-instruct&amp;fmt=messages\"><code>qwen2-vl-2b-instruct</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "qwen2-vl-2b-instruct",
        "fmt": "messages",
        "http": "POST",
        "path": "/v1/messages",
        "request_model_id": "qwen2-vl-2b-instruct",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|messages|/v1/messages|qwen2-vl-2b-instruct",
      "ordinal": 1,
      "rawMethod": {
        "available": null,
        "cache_read": 0,
        "cache_write": 0,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "accepted_material_guidance": {
              "content_type": "application/json",
              "example_scope": "The preserved text example is one valid request form, not the full protocol input set.",
              "image_condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.",
              "material_types": [
                "text",
                "image"
              ],
              "text_file_material": "Actual UTF-8 text can be inserted in a text content part."
            },
            "all_results": "Retain the complete response and headers, original identifiers, every actual output and all usage/accounting fields. Save each unique owned asset and retain every role pointing to it.",
            "authentication": {
              "header": "Authorization",
              "scheme": "Bearer",
              "value": "$AILOOT_API_KEY"
            },
            "errors": [
              {
                "condition": "Majburiy maydon, model selektori, tur yoki kirish maʼlumotining ifodalanishi notoʻgʻri.",
                "http_status": 400,
                "recovery": "Alohida soʻrov tayyorlashdan oldin javobda qaytarilgan tekshiruv tafsilotlarini koʻrib chiqing.",
                "type": "invalid_request_error"
              },
              {
                "condition": "Asl soʻrov yoki natija nomaʼlum yoki tekshirishni talab qiladi.",
                "http_status": null,
                "recovery": "Asl identifikatorlar va sarlavhalarni saqlang; faqat qoʻllab-quvvatlanadigan holat/kutubxona yozuvlarini oʻqing. Yaratish soʻrovini qayta yubormang.",
                "type": null
              }
            ],
            "lifecycle": {
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/messages"
              },
              "mode": "synchronous_or_streamed",
              "status": [],
              "unknown": "Asl X-Client-Request-ID ni, javob va sarlavhalarni saqlang. Natijaning nomaʼlum boʻlishi yoki result_pending_check ikkinchi marta yaratishga ruxsat bermaydi.",
              "unknown_no_replay": true
            },
            "material_combinations": [
              {
                "materials": [
                  "text"
                ],
                "mode": "text_input",
                "required": [
                  "messages"
                ]
              },
              {
                "condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.",
                "materials": [
                  "text",
                  "image"
                ],
                "mode": "image_with_text",
                "required": [
                  "messages with actual image content blocks"
                ]
              }
            ],
            "model_capability_scope": {
              "all_models_vision_claim": false,
              "manufacturer_description_preserved": "Retain grounded accepted legacy vision descriptions; a plain text example is not a capability ceiling.",
              "model_vision": "conditional_on_exact_model_capability",
              "transport_materials": [
                "text",
                "image"
              ],
              "video_audio_inferred": false
            },
            "outputs": {
              "all_results": "Har bir kontent blokini, vosita chaqiruvining ID sini, qaytarilgan boʻlsa fikrlash imzosini, barcha SSE oʻzgarishlarini va foydalanish maʼlumotlarini toʻliq saqlang. Dastlabki matn parchasi butun natija emas.",
              "every_actual_output": true,
              "family": "text",
              "fields": [
                {
                  "name": "content[]",
                  "type": "object"
                },
                {
                  "name": "usage",
                  "type": "object"
                }
              ],
              "format": "JSON or SSE"
            },
            "parameters": [
              {
                "conditions": "Ailoot soʻrovlarini yoʻnaltirish uchun aynan shu selektordan foydalaning.",
                "default_known": false,
                "enum": [
                  "qwen2-vl-2b-instruct"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "conditions": "",
                "default_known": false,
                "enum_known": false,
                "items": {
                  "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,
                "name": "messages",
                "required": true,
                "type": "array"
              },
              {
                "conditions": "",
                "default": false,
                "default_known": true,
                "enum_known": false,
                "name": "stream",
                "required": false,
                "type": "boolean"
              },
              {
                "conditions": "",
                "default_known": false,
                "enum_known": false,
                "minimum": 1,
                "name": "max_tokens",
                "required": true,
                "type": "integer"
              }
            ],
            "request_schema": {
              "additionalProperties": true,
              "properties": {
                "max_tokens": {
                  "minimum": 1,
                  "type": "integer"
                },
                "messages": {
                  "items": {
                    "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": [
                    "qwen2-vl-2b-instruct"
                  ],
                  "type": "string"
                },
                "stream": {
                  "default": false,
                  "type": "boolean"
                }
              },
              "required": [
                "model",
                "messages",
                "max_tokens"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "max_tokens": 256,
                "messages": [
                  {
                    "content": "Explain how a rainbow forms.",
                    "role": "user"
                  }
                ],
                "model": "qwen2-vl-2b-instruct"
              },
              "content_type": "application/json",
              "example_is_offline_content": true
            },
            "usage": {
              "meter": "Use the accepted method price and actual recorded usage; the request reserve is an estimate. A billing unit does not add an input capability.",
              "preserve": "Keep all returned usage, accounting and request identifiers with every actual output.",
              "settlement": "Retain the original operation; reconcile its result and accounting once."
            }
          },
          "input": {
            "conditions": [
              "Ailoot soʻrovlarini yoʻnaltirish uchun aynan shu selektordan foydalaning.",
              "Aynan tanlangan model tasvirni tushunishni qoʻllab-quvvatlasa, ushbu protokol orqali tasvir kontenti uzatiladi. Protokolning soʻrovni qabul qilishi har bir modelda tasvir bilan ishlash imkoniyati borligini tasdiqlamaydi."
            ],
            "content_type": "application/json",
            "material_types": [
              "text",
              "image"
            ],
            "optional": [
              "stream"
            ],
            "required": [
              "model",
              "messages",
              "max_tokens"
            ]
          },
          "lifecycle": {
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/messages"
            },
            "mode": "synchronous_or_streamed",
            "status": [],
            "unknown": "Keep the original X-Client-Request-ID, response and headers. An unknown or result_pending_check outcome does not authorize a second creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/messages"
          },
          "method_aliases": [],
          "output": {
            "all_results": "Retain every content block, tool-call ID, thinking signature when returned, all SSE deltas and complete usage. A first text fragment is not the whole result.",
            "every_actual_output": true,
            "family": "text",
            "fields": [
              {
                "name": "content[]",
                "type": "object"
              },
              {
                "name": "usage",
                "type": "object"
              }
            ],
            "format": "JSON or SSE"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "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",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0",
                "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}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"qwen2-vl-2b-instruct\", \"messages\": [{\"role\": \"user\", \"content\": \"Explain how a rainbow forms.\"}], \"max_tokens\": 256}')\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/messages \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "anthropic",
        "fast_multiplier": 1,
        "flex_multiplier": 1,
        "fmt": "messages",
        "http": "POST",
        "in": 0,
        "input": [
          "text",
          "image"
        ],
        "input_conditions": {
          "image": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model."
        },
        "label": "Anthropic Messages",
        "max_out": null,
        "max_reasoning_effort_multiplier": 1,
        "method_aliases": [],
        "out": 0,
        "output": [
          "json",
          "sse"
        ],
        "path": "/v1/messages",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Standard rate",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Standard rate",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Standard rate",
            "when": "When maximum reasoning effort uses the default adjustment"
          },
          {
            "label": "Explicit cache pricing",
            "value": "Not enabled",
            "when": "When explicit cache is requested"
          },
          {
            "label": "Faqat matn uchun nol tariflar",
            "value": "Kesh, vositalar va media uchun alohida keltirilgan narxlash shartlari amal qiladi.",
            "when": "Faqat matnli kirish va chiqish uchun"
          }
        ],
        "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",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "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",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0",
                "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": "qwen2-vl-2b-instruct",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "units": [
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0",
            "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",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0",
            "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": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": "0",
            "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": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": "0",
            "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_id": "qwen2-vl-2b-instruct",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "de78cc778f3edebc334f4d605ffc040dedb757f0499eaaccb6fcbe6222c0b543",
    "input_html_sha256": "6c050bde06ddaac154f28201310487109cd0cab83316f18497fc905b3543a065",
    "private_audit_sha256": "5505fb8b9d510dd4803e4087222dcb9c6daa7bd7f771648b7ee0f591b5afa434",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/uz/qwen2-vl-2b-instruct/",
    "description": "Qwen2-VL-2B-Instruct — Qwenning tasvirga oid savollar, rasmlardagi ko‘p tilli matn va vizual tushuntirishlar uchun tasvir va til bilan ishlaydigan modeli. Ko‘rinadigan dalillarga bog‘langan yozma natija uchun o‘qiladigan tasvir va aniq savol bering.",
    "locale": "uz",
    "md_url": "https://ailoot.ai/models/uz/qwen2-vl-2b-instruct/index.md",
    "title": "qwen2-vl-2b-instruct — Ailoot",
    "url": "https://ailoot.ai/models/uz/qwen2-vl-2b-instruct/"
  },
  "rawModel": {
    "about": "Qwen2-VL-2B-Instruct — Qwenning tasvir va matn savollari uchun ko‘rsatmalarga moslangan, tasvir va til bilan ishlaydigan 2B modeli. Ishlab chiqaruvchi turli aniqlik va tomonlar nisbatidagi tasvirlar bilan ishlash hamda rasmlar ichidagi bir nechta tildagi matnni tushunishni tavsiflaydi. Yaratilgan natija berilgan vizual material va savolga yozma javobdir. Ishlab chiqaruvchi telefon va robot kabi qurilmalar bilan vizual agent sifatida foydalanishni ham tavsiflaydi. Bunday jarayon uchun joriy vizual muhit va matnli ko‘rsatmani bering; atrofdagi ilova taklif etilgan amalni bajaradi va keyingi savol uchun kuzatilgan holatni qaytaradi.\n\n### Tasvir va aniq savolni bering\n\nJavob uchun kerak bo‘lgan dalil bor tasvirni tanlang, keyin talqin qilinadigan tafsilotni belgilang. Hujjat savoli ko‘rinadigan parcha haqida bo‘lishi; diagramma savoli esa tushuntiriladigan qatorlar, o‘qlar va taqqoslashni ko‘rsatishi mumkin. Javob tegishli tasvir manbasiga bog‘liq qolishi uchun tasvir identifikatorini so‘ralgan natija bilan saqlang.\n\nIshlab chiqaruvchi ingliz va xitoy tillaridan tashqari Yevropa tillari, yapon, koreys, arab va vetnam tillaridagi tasvir-matnni tushunishni ham ko‘rsatadi. Ko‘rinadigan matnni ko‘chirish, tushuntirish yoki tarjima qilishni so‘raganda asl ibora va yozuvni saqlang. Namunaviy topshiriqda ko‘rsatilgan yorliq va uning ma’nosini alohida tushuntirishni so‘rash mumkin.\n\n### Aniqlik va vizual tokenlarni ongli tayyorlang\n\nQwen2-VL tasvirni o‘zgaruvchan sonli vizual tokenlarga moslash uchun dinamik aniqlikdan foydalanadi. Modelning o‘z protsessori misolida standart oraliq har bir tasvir uchun 4 dan 16,384 gacha vizual tokendir. Modelning o‘z qo‘llanmasi tafsilot va qayta ishlash ehtiyojini muvozanatlash uchun minimal va maksimal piksel sozlamalarini, jumladan 256 dan 1,280 gacha torroq tasvir-token tayyorlash oralig‘ini ko‘rsatadi. Bu sozlamalar o‘lchamni o‘zgartirganda tomonlar nisbatini saqlaydi.\n\nIshlab chiqaruvchi kerakli balandlik va kenglikni belgilashga ham ruxsat beradi; bu qiymatlar 28 ning karralisiga yaxlitlanadi. Muhim yorliqlar o‘qiladigan tayyorlash usulini tanlang va qirqim ishlatganda asl tasvirni saqlang. Modelning o‘z misollari bir nechta tasvir va paketlarni o‘z ichiga olib, savoldagi alohida tasvir manbalarini belgilab saqlash imkonini beradi.\n\n### Hujjatlashtirilgan vizual cheklovlar doirasida ishlang\n\nIshlab chiqaruvchi murakkab ko‘p bosqichli ko‘rsatmalar, murakkab sahnalardagi obyektlarni sanash va uch o‘lchamli fazoviy mulohazada cheklovlarni ko‘rsatadi. Muayyan odamlar yoki brendlarni tanish ham to‘liq emasligini qayd etadi. Aniq vizual kuzatuv so‘rang va natija tayanadigan muayyan son, yorliq yoki nisbiy joylashuvni tekshiring.\n\nIshlab chiqaruvchi tasvir ma’lumotlar to‘plami 2023-yil iyunigacha yangilanganini aytadi. Yaqindagi yoki notanish yorliq uchun kerakli yozma kontekstni bering; tasvirning o‘zidan bu ma’lumotni aniqlashni kutmang. Qaytarilgan qaydda ko‘chirilgan yorliqni taxmin qilingan shaxs yoki obyekt nomidan ajrating.\n\n### Tayyorlangan kirishlarni javob bilan saqlang\n\nE’lon qilingan checkpoint sozlamasi 32,768 maksimal pozitsiyani belgilaydi. Savol va vizual kirishlarni mos model protsessori bilan tayyorlab, so‘rovdagi tasvirlar tartibini saqlang. Modelning o‘z yordamchi vositasi mahalliy tasvirlar, base64 va tasvir manzillarini qabul qiladi.\n\nTanlangan 2B Instruct nomi, tasvir manbalari va tugallangan yozma javobni birga saqlang. Keyingi murojaat uchun tegishli materialni kiriting va tuzatiladigan muayyan kuzatuv yoki talqinni belgilang, keyin tuzatilgan natijani shu manbaga solishtiring.\n\nAiloot orqali /v1/chat/completions da aynan shu model ID sidan foydalaning va suhbatda tasvirni unga tegishli savol bilan birga saqlang. Tasvir mazmuni image_url shaklida beriladi; qo‘llab-quvvatlanadigan manba tasvir manzilini yoki base64 data URI ni o‘z ichiga olishi mumkin. To‘liq JSON javobni yoki stream yoqilganida barcha SSE qismlarini yig‘ing va tayyor natija bilan usage ma’lumotini saqlang.",
    "alias_of": null,
    "aliases": [],
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0",
            "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",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0",
            "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"
          }
        ],
        "summary": "Konfiguratsiya narxlari tafsilotlarda to‘liq ko‘rsatilgan."
      }
    ],
    "ctx": null,
    "formats": [
      "chat",
      "messages"
    ],
    "id": "qwen2-vl-2b-instruct",
    "input": [
      "text",
      "image"
    ],
    "kind": "text",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "cache_read": 0,
        "cache_write": 0,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "accepted_material_guidance": {
              "content_type": "application/json",
              "example_scope": "The preserved text example is one valid request form, not the full protocol input set.",
              "image_condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.",
              "material_types": [
                "text",
                "image"
              ],
              "text_file_material": "Actual UTF-8 text can be inserted in a text content part."
            },
            "all_results": "Retain the complete response and headers, original identifiers, every actual output and all usage/accounting fields. Save each unique owned asset and retain every role pointing to it.",
            "authentication": {
              "header": "Authorization",
              "scheme": "Bearer",
              "value": "$AILOOT_API_KEY"
            },
            "errors": [
              {
                "condition": "Majburiy maydon, model selektori, tur yoki kirish maʼlumotining ifodalanishi notoʻgʻri.",
                "http_status": 400,
                "recovery": "Alohida soʻrov tayyorlashdan oldin javobda qaytarilgan tekshiruv tafsilotlarini koʻrib chiqing.",
                "type": "invalid_request_error"
              },
              {
                "condition": "Asl soʻrov yoki natija nomaʼlum yoki tekshirishni talab qiladi.",
                "http_status": null,
                "recovery": "Asl identifikatorlar va sarlavhalarni saqlang; faqat qoʻllab-quvvatlanadigan holat/kutubxona yozuvlarini oʻqing. Yaratish soʻrovini qayta yubormang.",
                "type": null
              }
            ],
            "lifecycle": {
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/chat/completions"
              },
              "mode": "synchronous_or_streamed",
              "status": [],
              "unknown": "Asl X-Client-Request-ID ni, javob va sarlavhalarni saqlang. Natijaning nomaʼlum boʻlishi yoki result_pending_check ikkinchi marta yaratishga ruxsat bermaydi.",
              "unknown_no_replay": true
            },
            "material_combinations": [
              {
                "materials": [
                  "text"
                ],
                "mode": "text_input",
                "required": [
                  "messages"
                ]
              },
              {
                "condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.",
                "materials": [
                  "text",
                  "image"
                ],
                "mode": "image_with_text",
                "required": [
                  "messages with actual image content blocks"
                ]
              }
            ],
            "model_capability_scope": {
              "all_models_vision_claim": false,
              "manufacturer_description_preserved": "Retain grounded accepted legacy vision descriptions; a plain text example is not a capability ceiling.",
              "model_vision": "conditional_on_exact_model_capability",
              "transport_materials": [
                "text",
                "image"
              ],
              "video_audio_inferred": false
            },
            "outputs": {
              "all_results": "Har bir kontent blokini, vosita chaqiruvining ID sini, qaytarilgan boʻlsa fikrlash imzosini, barcha SSE oʻzgarishlarini va foydalanish maʼlumotlarini toʻliq saqlang. Dastlabki matn parchasi butun natija emas.",
              "every_actual_output": true,
              "family": "text",
              "fields": [
                {
                  "name": "choices[]",
                  "type": "object"
                },
                {
                  "name": "usage",
                  "type": "object"
                }
              ],
              "format": "JSON or SSE"
            },
            "parameters": [
              {
                "conditions": "Ailoot soʻrovlarini yoʻnaltirish uchun aynan shu selektordan foydalaning.",
                "default_known": false,
                "enum": [
                  "qwen2-vl-2b-instruct"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "conditions": "",
                "default_known": false,
                "enum_known": false,
                "items": {
                  "properties": {
                    "content": {
                      "oneOf": [
                        {
                          "type": "string"
                        },
                        {
                          "items": {
                            "oneOf": [
                              {
                                "properties": {
                                  "text": {
                                    "type": "string"
                                  },
                                  "type": {
                                    "const": "text"
                                  }
                                },
                                "required": [
                                  "type",
                                  "text"
                                ],
                                "type": "object"
                              },
                              {
                                "properties": {
                                  "image_url": {
                                    "properties": {
                                      "detail": {
                                        "type": "string"
                                      },
                                      "url": {
                                        "type": "string"
                                      }
                                    },
                                    "required": [
                                      "url"
                                    ],
                                    "type": "object"
                                  },
                                  "type": {
                                    "const": "image_url"
                                  }
                                },
                                "required": [
                                  "type",
                                  "image_url"
                                ],
                                "type": "object"
                              }
                            ]
                          },
                          "type": "array"
                        }
                      ]
                    },
                    "role": {
                      "type": "string"
                    }
                  },
                  "required": [
                    "role",
                    "content"
                  ],
                  "type": "object"
                },
                "minItems": 1,
                "name": "messages",
                "required": true,
                "type": "array"
              },
              {
                "conditions": "",
                "default": false,
                "default_known": true,
                "enum_known": false,
                "name": "stream",
                "required": false,
                "type": "boolean"
              }
            ],
            "request_schema": {
              "additionalProperties": true,
              "properties": {
                "messages": {
                  "items": {
                    "properties": {
                      "content": {
                        "oneOf": [
                          {
                            "type": "string"
                          },
                          {
                            "items": {
                              "oneOf": [
                                {
                                  "properties": {
                                    "text": {
                                      "type": "string"
                                    },
                                    "type": {
                                      "const": "text"
                                    }
                                  },
                                  "required": [
                                    "type",
                                    "text"
                                  ],
                                  "type": "object"
                                },
                                {
                                  "properties": {
                                    "image_url": {
                                      "properties": {
                                        "detail": {
                                          "type": "string"
                                        },
                                        "url": {
                                          "type": "string"
                                        }
                                      },
                                      "required": [
                                        "url"
                                      ],
                                      "type": "object"
                                    },
                                    "type": {
                                      "const": "image_url"
                                    }
                                  },
                                  "required": [
                                    "type",
                                    "image_url"
                                  ],
                                  "type": "object"
                                }
                              ]
                            },
                            "type": "array"
                          }
                        ]
                      },
                      "role": {
                        "type": "string"
                      }
                    },
                    "required": [
                      "role",
                      "content"
                    ],
                    "type": "object"
                  },
                  "minItems": 1,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "qwen2-vl-2b-instruct"
                  ],
                  "type": "string"
                },
                "stream": {
                  "default": false,
                  "type": "boolean"
                }
              },
              "required": [
                "model",
                "messages"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "messages": [
                  {
                    "content": "Explain how a rainbow forms.",
                    "role": "user"
                  }
                ],
                "model": "qwen2-vl-2b-instruct"
              },
              "content_type": "application/json",
              "example_is_offline_content": true
            },
            "usage": {
              "meter": "Use the accepted method price and actual recorded usage; the request reserve is an estimate. A billing unit does not add an input capability.",
              "preserve": "Keep all returned usage, accounting and request identifiers with every actual output.",
              "settlement": "Retain the original operation; reconcile its result and accounting once."
            }
          },
          "input": {
            "conditions": [
              "Ailoot soʻrovlarini yoʻnaltirish uchun aynan shu selektordan foydalaning.",
              "Aynan tanlangan model tasvirni tushunishni qoʻllab-quvvatlasa, ushbu protokol orqali tasvir kontenti uzatiladi. Protokolning soʻrovni qabul qilishi har bir modelda tasvir bilan ishlash imkoniyati borligini tasdiqlamaydi."
            ],
            "content_type": "application/json",
            "material_types": [
              "text",
              "image"
            ],
            "optional": [
              "stream"
            ],
            "required": [
              "model",
              "messages"
            ]
          },
          "lifecycle": {
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/chat/completions"
            },
            "mode": "synchronous_or_streamed",
            "status": [],
            "unknown": "Keep the original X-Client-Request-ID, response and headers. An unknown or result_pending_check outcome does not authorize a second creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/chat/completions"
          },
          "method_aliases": [
            "/chat/completions"
          ],
          "output": {
            "all_results": "Retain every content block, tool-call ID, thinking signature when returned, all SSE deltas and complete usage. A first text fragment is not the whole result.",
            "every_actual_output": true,
            "family": "text",
            "fields": [
              {
                "name": "choices[]",
                "type": "object"
              },
              {
                "name": "usage",
                "type": "object"
              }
            ],
            "format": "JSON or SSE"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "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",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0",
                "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}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"qwen2-vl-2b-instruct\", \"messages\": [{\"role\": \"user\", \"content\": \"Explain how a rainbow forms.\"}]}')\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\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": 1,
        "flex_multiplier": 1,
        "fmt": "chat",
        "http": "POST",
        "in": 0,
        "input": [
          "text",
          "image"
        ],
        "input_conditions": {
          "image": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model."
        },
        "label": "OpenAI Chat",
        "max_out": null,
        "max_reasoning_effort_multiplier": 1,
        "method_aliases": [
          "/chat/completions"
        ],
        "out": 0,
        "output": [
          "text"
        ],
        "path": "/v1/chat/completions",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Standard rate",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Standard rate",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Standard rate",
            "when": "When maximum reasoning effort uses the default adjustment"
          },
          {
            "label": "Explicit cache pricing",
            "value": "Not enabled",
            "when": "When explicit cache is requested"
          },
          {
            "label": "Faqat matn uchun nol tariflar",
            "value": "Kesh, vositalar va media uchun alohida keltirilgan narxlash shartlari amal qiladi.",
            "when": "Faqat matnli kirish va chiqish uchun"
          }
        ],
        "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",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "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",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0",
                "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": "qwen2-vl-2b-instruct",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "units": [
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0",
            "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",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0",
            "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": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": "0",
            "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": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": "0",
            "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": 0,
        "cache_write": 0,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "accepted_material_guidance": {
              "content_type": "application/json",
              "example_scope": "The preserved text example is one valid request form, not the full protocol input set.",
              "image_condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.",
              "material_types": [
                "text",
                "image"
              ],
              "text_file_material": "Actual UTF-8 text can be inserted in a text content part."
            },
            "all_results": "Retain the complete response and headers, original identifiers, every actual output and all usage/accounting fields. Save each unique owned asset and retain every role pointing to it.",
            "authentication": {
              "header": "Authorization",
              "scheme": "Bearer",
              "value": "$AILOOT_API_KEY"
            },
            "errors": [
              {
                "condition": "Majburiy maydon, model selektori, tur yoki kirish maʼlumotining ifodalanishi notoʻgʻri.",
                "http_status": 400,
                "recovery": "Alohida soʻrov tayyorlashdan oldin javobda qaytarilgan tekshiruv tafsilotlarini koʻrib chiqing.",
                "type": "invalid_request_error"
              },
              {
                "condition": "Asl soʻrov yoki natija nomaʼlum yoki tekshirishni talab qiladi.",
                "http_status": null,
                "recovery": "Asl identifikatorlar va sarlavhalarni saqlang; faqat qoʻllab-quvvatlanadigan holat/kutubxona yozuvlarini oʻqing. Yaratish soʻrovini qayta yubormang.",
                "type": null
              }
            ],
            "lifecycle": {
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/messages"
              },
              "mode": "synchronous_or_streamed",
              "status": [],
              "unknown": "Asl X-Client-Request-ID ni, javob va sarlavhalarni saqlang. Natijaning nomaʼlum boʻlishi yoki result_pending_check ikkinchi marta yaratishga ruxsat bermaydi.",
              "unknown_no_replay": true
            },
            "material_combinations": [
              {
                "materials": [
                  "text"
                ],
                "mode": "text_input",
                "required": [
                  "messages"
                ]
              },
              {
                "condition": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model.",
                "materials": [
                  "text",
                  "image"
                ],
                "mode": "image_with_text",
                "required": [
                  "messages with actual image content blocks"
                ]
              }
            ],
            "model_capability_scope": {
              "all_models_vision_claim": false,
              "manufacturer_description_preserved": "Retain grounded accepted legacy vision descriptions; a plain text example is not a capability ceiling.",
              "model_vision": "conditional_on_exact_model_capability",
              "transport_materials": [
                "text",
                "image"
              ],
              "video_audio_inferred": false
            },
            "outputs": {
              "all_results": "Har bir kontent blokini, vosita chaqiruvining ID sini, qaytarilgan boʻlsa fikrlash imzosini, barcha SSE oʻzgarishlarini va foydalanish maʼlumotlarini toʻliq saqlang. Dastlabki matn parchasi butun natija emas.",
              "every_actual_output": true,
              "family": "text",
              "fields": [
                {
                  "name": "content[]",
                  "type": "object"
                },
                {
                  "name": "usage",
                  "type": "object"
                }
              ],
              "format": "JSON or SSE"
            },
            "parameters": [
              {
                "conditions": "Ailoot soʻrovlarini yoʻnaltirish uchun aynan shu selektordan foydalaning.",
                "default_known": false,
                "enum": [
                  "qwen2-vl-2b-instruct"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "conditions": "",
                "default_known": false,
                "enum_known": false,
                "items": {
                  "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,
                "name": "messages",
                "required": true,
                "type": "array"
              },
              {
                "conditions": "",
                "default": false,
                "default_known": true,
                "enum_known": false,
                "name": "stream",
                "required": false,
                "type": "boolean"
              },
              {
                "conditions": "",
                "default_known": false,
                "enum_known": false,
                "minimum": 1,
                "name": "max_tokens",
                "required": true,
                "type": "integer"
              }
            ],
            "request_schema": {
              "additionalProperties": true,
              "properties": {
                "max_tokens": {
                  "minimum": 1,
                  "type": "integer"
                },
                "messages": {
                  "items": {
                    "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": [
                    "qwen2-vl-2b-instruct"
                  ],
                  "type": "string"
                },
                "stream": {
                  "default": false,
                  "type": "boolean"
                }
              },
              "required": [
                "model",
                "messages",
                "max_tokens"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "max_tokens": 256,
                "messages": [
                  {
                    "content": "Explain how a rainbow forms.",
                    "role": "user"
                  }
                ],
                "model": "qwen2-vl-2b-instruct"
              },
              "content_type": "application/json",
              "example_is_offline_content": true
            },
            "usage": {
              "meter": "Use the accepted method price and actual recorded usage; the request reserve is an estimate. A billing unit does not add an input capability.",
              "preserve": "Keep all returned usage, accounting and request identifiers with every actual output.",
              "settlement": "Retain the original operation; reconcile its result and accounting once."
            }
          },
          "input": {
            "conditions": [
              "Ailoot soʻrovlarini yoʻnaltirish uchun aynan shu selektordan foydalaning.",
              "Aynan tanlangan model tasvirni tushunishni qoʻllab-quvvatlasa, ushbu protokol orqali tasvir kontenti uzatiladi. Protokolning soʻrovni qabul qilishi har bir modelda tasvir bilan ishlash imkoniyati borligini tasdiqlamaydi."
            ],
            "content_type": "application/json",
            "material_types": [
              "text",
              "image"
            ],
            "optional": [
              "stream"
            ],
            "required": [
              "model",
              "messages",
              "max_tokens"
            ]
          },
          "lifecycle": {
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/messages"
            },
            "mode": "synchronous_or_streamed",
            "status": [],
            "unknown": "Keep the original X-Client-Request-ID, response and headers. An unknown or result_pending_check outcome does not authorize a second creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/messages"
          },
          "method_aliases": [],
          "output": {
            "all_results": "Retain every content block, tool-call ID, thinking signature when returned, all SSE deltas and complete usage. A first text fragment is not the whole result.",
            "every_actual_output": true,
            "family": "text",
            "fields": [
              {
                "name": "content[]",
                "type": "object"
              },
              {
                "name": "usage",
                "type": "object"
              }
            ],
            "format": "JSON or SSE"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "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",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0",
                "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}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"qwen2-vl-2b-instruct\", \"messages\": [{\"role\": \"user\", \"content\": \"Explain how a rainbow forms.\"}], \"max_tokens\": 256}')\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/messages \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "anthropic",
        "fast_multiplier": 1,
        "flex_multiplier": 1,
        "fmt": "messages",
        "http": "POST",
        "in": 0,
        "input": [
          "text",
          "image"
        ],
        "input_conditions": {
          "image": "Image content is carried by this protocol where the exact selected model supports vision. Protocol admission does not establish image capability for every model."
        },
        "label": "Anthropic Messages",
        "max_out": null,
        "max_reasoning_effort_multiplier": 1,
        "method_aliases": [],
        "out": 0,
        "output": [
          "json",
          "sse"
        ],
        "path": "/v1/messages",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Standard rate",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Standard rate",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Standard rate",
            "when": "When maximum reasoning effort uses the default adjustment"
          },
          {
            "label": "Explicit cache pricing",
            "value": "Not enabled",
            "when": "When explicit cache is requested"
          },
          {
            "label": "Faqat matn uchun nol tariflar",
            "value": "Kesh, vositalar va media uchun alohida keltirilgan narxlash shartlari amal qiladi.",
            "when": "Faqat matnli kirish va chiqish uchun"
          }
        ],
        "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",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "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",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0",
                "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": "qwen2-vl-2b-instruct",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "units": [
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0",
            "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",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0",
            "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": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": "0",
            "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": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": "0",
            "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": "qwen2-vl-2b-instruct",
        "request_model_id": "qwen2-vl-2b-instruct",
        "route_label": "Ultra"
      }
    ],
    "name": "qwen2-vl-2b-instruct",
    "price": {
      "in": 0,
      "in_label": null,
      "out": 0,
      "out_label": null,
      "scope_label": "Token rates",
      "sort_in": 0,
      "sort_out": 0,
      "varies": false
    },
    "short": "Qwen2-VL-2B-Instruct — Qwenning tasvirga oid savollar, rasmlardagi ko‘p tilli matn va vizual tushuntirishlar uchun tasvir va til bilan ishlaydigan modeli. Ko‘rinadigan dalillarga bog‘langan yozma natija uchun o‘qiladigan tasvir va aniq savol bering.",
    "title": "qwen2-vl-2b-instruct"
  },
  "renderer_schema": {
    "method_order": "Original DTO methods order; every exact route/format/path/caller survives.",
    "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers."
  },
  "representation": "exact-public-dto-and-native-renderer-html",
  "representationNotes": {
    "current_reference": {
      "about_json_pointer": "/aboutHtml",
      "methods": [
        {
          "contract_json_pointer": "/methods/0/rawMethod/contract",
          "html_json_pointer": "/methods/0/html",
          "method_ordinal": 0
        },
        {
          "contract_json_pointer": "/methods/1/rawMethod/contract",
          "html_json_pointer": "/methods/1/html",
          "method_ordinal": 1
        }
      ],
      "role": "current-semantic-reference"
    },
    "raw_input": {
      "examples_role": "historical-input-not-current-ready-examples",
      "json_pointers": [
        "/rawModel",
        "/methods/0/rawMethod",
        "/methods/1/rawMethod"
      ],
      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
  },
  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "Qwen2-VL-2B-Instruct — Qwenning tasvirga oid savollar, rasmlardagi ko‘p tilli matn va vizual tushuntirishlar uchun tasvir va til bilan ishlaydigan modeli. Ko‘rinadigan dalillarga bog‘langan yozma natija uchun o‘qiladigan tasvir va aniq savol bering.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "870026cc10fa8d31daf4acaf8a5891eccd08c35c0d536fd56ca829b7ec4ec552",
    "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6"
  },
  "sourceRevision": "81e8c1a4a906db14fcee5e25b2d1858fe960a64a8095c6608497b79eef9d4452"
}