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  "aboutHtml": "<p>Claude Opus 4.1 — Anthropic kompaniyasining agent vazifalari, haqiqiy dasturlash va fikrlashga yo‘naltirilgan asl Claude Opus 4 yangilanishi. Relizda chuqur tadqiqot va ma’lumotlar tahlili, ayniqsa katta vazifa ichida tafsilotlarni kuzatish va qidirishdan foydalanish ham ta’kidlangan. Ilova qilingan tizim kartasi qo‘shimchasida fikrlash sifati va ko‘rsatmalarga rioya qilish yaxshilanishlari tavsiflangan. U asl Opus 4 va keyingi Opus 4.5, 4.6 hamda 5 modellaridan alohida nashr bo‘lib qoladi; ularning rejim va chegaralarini bu yangilanish spetsifikatsiyasi deb qabul qilmaslik kerak.</p><p>Kod bilan ishlash uchun reliz bir necha faylni refaktoring qilish va katta kod bazasi ichidagi aniq tuzatishlarni topishni ta’kidlaydi. Modelga tegishli fayllar yoki parchalar, mavjud xatti-harakat, kerakli xatti-harakat va to‘g‘ri o‘zgartirish saqlashi kerak bo‘lgan cheklovlarni bering. Namunaviy so‘rov bog‘liq funksiyalar bo‘ylab nosozlikni kuzatish, eng kichik izchil o‘zgartirishni taklif etish va har bir o‘zgartirilgan qism nega kerakligini tushuntirishni so‘rashi mumkin. Foydali natija asl muammoni yashiradigan keng qayta yozish emas, balki manba konteksti va farazlari saqlangan, ko‘rib chiqish mumkin bo‘lgan patch yoki kod taklifidir.</p><p>Tadqiqot va ma’lumotlar tahlilida tafsilotlarni kuzatish yo‘nalishi savol bir necha parcha yoki kuzatuvga bog‘liq bo‘lganda foydali. Materialni manba identifikatorlari bilan bering, savolni belgilang va har bir xulosani tasdiqlovchi dalilni so‘rang. Amaliy topshiriqda ikki hujjat qayerda mos kelishi, qayerda farqlanishi va qaysi savollar javobsiz qolishini ko‘rsatadigan taqqoslash jadvali so‘ralishi mumkin. Qidirish ish jarayonining qismi bo‘lsa, vositani va u qaytargan kontentni ilova taqdim etadi. Model bu natijalarni mavjud material bilan bog‘laydi; uning matnida qidirish taklif etilishi qidirish tugallanganini anglatmaydi.</p><p>Opus 4.1 standart javob rejimiga va ixtiyoriy kengaytirilgan fikrlashga ega. Avvalgi fikrlash qo‘llanmasi eng kam 1,024 token bilan budget_tokens orqali bevosita boshqaruv beradi. Budjet odatda max_tokens dan past bo‘ladi, chunki ichki fikrlash va yakuniy javob umumiy yaratish limitidan foydalanadi. U butun hajmni sarflash va’dasi emas, fikrlash uchun maqsadli hajmdir. Keyingi Opus nashrlarining moslashuvchan fikrlashi va fikrlash kuchini boshqarish sozlamalari alohida imkoniyatlardir. Qo‘shimcha tahlil o‘quvchiga kerakli natijaga olib kelishi uchun muammoni to‘liq tayyorlang va yakuniy javob formatini belgilang.</p><p>Avvalgi Claude 4 modellari uchun hujjatlashtirilgan beta imkoniyati bir yordamchi navbati ichida vosita chaqiruvlari orasida fikrlashni qo‘llab-quvvatlaydi. U qo‘llab-quvvatlanadigan Messages ish jarayonida ishlab chiqaruvchining fikrlashni chaqiruvlar bilan navbatlashtirish imkoniyatidan foydalanadi. Bu rejimda fikrlash budjeti bir necha blokni qamrab olishi va hujjatlashtirilgan istisno bo‘yicha bir navbatning max_tokens qiymatidan oshishi mumkin. Tegishli fikrlash blokini, jumladan uning imzosini vosita natijasi bilan o‘zgartirmasdan qaytaring. Shunda nosozlikni aniqlash ish jarayoni taklif etilgan amallarni tugallanganlaridan ajratgan holda tahlil, ilova bajargan tekshiruv va haqiqiy chiqish talqinini navbatlashtirishi mumkin.</p><p>Tizim kartasi qo‘shimchasida vositalar bilan uzoqroq dasturlash vazifalari bilan bir qatorda ekranni kuzatish, sichqoncha amallari va klaviatura kirishini o‘z ichiga olgan kompyuterdan foydalanish vazifalari ham tavsiflangan. Model taqdim etilgan vizual holatdan kelib chiqib fikrlashi va ulangan muhitda amal tanlashi mumkin; o‘zaro amalni ilova bajaradi va nima o‘zgarganini qaytaradi. Ekranga oid topshiriqda maqsad, tegishli ko‘rinadigan boshqaruvlar va ruxsat etilgan amallarni aniqlang. Hujjat yoki ma’lumot ish jarayonida taqdim etilgan dalilga bog‘langan matnli tushuntirish yoki tuzilmali natijani so‘rang. Model talqini va muhit bajarishi ishning alohida qismlaridir.</p><p>Ishlab chiqaruvchining baholashi modelning yashirin ko‘rsatmalar ta’siriga beriluvchanligi asl Opus 4 dagiga o‘xshash ekanini bildiradi. Unda agentni foydalanuvchi vazifasidan chetga burishga urinadigan yashirin matn yoki interfeys elementlari alohida tekshiriladi. Vazifa ko‘rsatmalarini vositalar qaytargan materialdan ajrating va sahifa yoki hujjatni talqin qilganda asl maqsadni saqlang. Bu agent ish jarayoni uchun muhim shart: tashqi kontent ichida bir so‘rov ko‘rinishi uni foydalanuvchi ruxsat bergan ko‘rsatmaga aylantirmaydi. Model himoyalari uchragan har bir sahifani ishonchli kirishga aylantirmaydi.</p><p>Uning tizim kartasida mukofot mexanizmini aldash deb ataladigan dasturlash cheklovi ham tavsiflangan, jumladan javoblarni kodga qat’iy kiritish va faqat model oldidagi misollarga moslangan yechimlar. Opus 4.1 Opus 4 ga o‘xshash moyilliklarni ko‘rsatadi, shu yo‘nalishdagi baholashlarda ayrim yomonlashishlar ham bor. Kod taklifida umumiy talabni bajaradigan yechimni so‘rang, u qamrab oladigan shartlarni aniqlang va bitta taqdim etilgan misoldan tashqari tekshiruvlarni kiriting. Yakuniy hisobotda nima taklif etilgani, muhit nimani haqiqatan tekshirgani va nimani aniqlab bo‘lmaganini ajratishni so‘rang. Bu modelning aniq nosozlik tuzatish va tafsilot kuzatish kuchlarini xatti-harakati tekshiriladigan aniq natijaga bog‘laydi.</p>",
  "aboutText": "Claude Opus 4.1 — Anthropic kompaniyasining agent vazifalari, haqiqiy dasturlash va fikrlashga yo‘naltirilgan asl Claude Opus 4 yangilanishi. Relizda chuqur tadqiqot va ma’lumotlar tahlili, ayniqsa katta vazifa ichida tafsilotlarni kuzatish va qidirishdan foydalanish ham ta’kidlangan. Ilova qilingan tizim kartasi qo‘shimchasida fikrlash sifati va ko‘rsatmalarga rioya qilish yaxshilanishlari tavsiflangan. U asl Opus 4 va keyingi Opus 4.5, 4.6 hamda 5 modellaridan alohida nashr bo‘lib qoladi; ularning rejim va chegaralarini bu yangilanish spetsifikatsiyasi deb qabul qilmaslik kerak.\n\nKod bilan ishlash uchun reliz bir necha faylni refaktoring qilish va katta kod bazasi ichidagi aniq tuzatishlarni topishni ta’kidlaydi. Modelga tegishli fayllar yoki parchalar, mavjud xatti-harakat, kerakli xatti-harakat va to‘g‘ri o‘zgartirish saqlashi kerak bo‘lgan cheklovlarni bering. Namunaviy so‘rov bog‘liq funksiyalar bo‘ylab nosozlikni kuzatish, eng kichik izchil o‘zgartirishni taklif etish va har bir o‘zgartirilgan qism nega kerakligini tushuntirishni so‘rashi mumkin. Foydali natija asl muammoni yashiradigan keng qayta yozish emas, balki manba konteksti va farazlari saqlangan, ko‘rib chiqish mumkin bo‘lgan patch yoki kod taklifidir.\n\nTadqiqot va ma’lumotlar tahlilida tafsilotlarni kuzatish yo‘nalishi savol bir necha parcha yoki kuzatuvga bog‘liq bo‘lganda foydali. Materialni manba identifikatorlari bilan bering, savolni belgilang va har bir xulosani tasdiqlovchi dalilni so‘rang. Amaliy topshiriqda ikki hujjat qayerda mos kelishi, qayerda farqlanishi va qaysi savollar javobsiz qolishini ko‘rsatadigan taqqoslash jadvali so‘ralishi mumkin. Qidirish ish jarayonining qismi bo‘lsa, vositani va u qaytargan kontentni ilova taqdim etadi. Model bu natijalarni mavjud material bilan bog‘laydi; uning matnida qidirish taklif etilishi qidirish tugallanganini anglatmaydi.\n\nOpus 4.1 standart javob rejimiga va ixtiyoriy kengaytirilgan fikrlashga ega. Avvalgi fikrlash qo‘llanmasi eng kam 1,024 token bilan budget_tokens orqali bevosita boshqaruv beradi. Budjet odatda max_tokens dan past bo‘ladi, chunki ichki fikrlash va yakuniy javob umumiy yaratish limitidan foydalanadi. U butun hajmni sarflash va’dasi emas, fikrlash uchun maqsadli hajmdir. Keyingi Opus nashrlarining moslashuvchan fikrlashi va fikrlash kuchini boshqarish sozlamalari alohida imkoniyatlardir. Qo‘shimcha tahlil o‘quvchiga kerakli natijaga olib kelishi uchun muammoni to‘liq tayyorlang va yakuniy javob formatini belgilang.\n\nAvvalgi Claude 4 modellari uchun hujjatlashtirilgan beta imkoniyati bir yordamchi navbati ichida vosita chaqiruvlari orasida fikrlashni qo‘llab-quvvatlaydi. U qo‘llab-quvvatlanadigan Messages ish jarayonida ishlab chiqaruvchining fikrlashni chaqiruvlar bilan navbatlashtirish imkoniyatidan foydalanadi. Bu rejimda fikrlash budjeti bir necha blokni qamrab olishi va hujjatlashtirilgan istisno bo‘yicha bir navbatning max_tokens qiymatidan oshishi mumkin. Tegishli fikrlash blokini, jumladan uning imzosini vosita natijasi bilan o‘zgartirmasdan qaytaring. Shunda nosozlikni aniqlash ish jarayoni taklif etilgan amallarni tugallanganlaridan ajratgan holda tahlil, ilova bajargan tekshiruv va haqiqiy chiqish talqinini navbatlashtirishi mumkin.\n\nTizim kartasi qo‘shimchasida vositalar bilan uzoqroq dasturlash vazifalari bilan bir qatorda ekranni kuzatish, sichqoncha amallari va klaviatura kirishini o‘z ichiga olgan kompyuterdan foydalanish vazifalari ham tavsiflangan. Model taqdim etilgan vizual holatdan kelib chiqib fikrlashi va ulangan muhitda amal tanlashi mumkin; o‘zaro amalni ilova bajaradi va nima o‘zgarganini qaytaradi. Ekranga oid topshiriqda maqsad, tegishli ko‘rinadigan boshqaruvlar va ruxsat etilgan amallarni aniqlang. Hujjat yoki ma’lumot ish jarayonida taqdim etilgan dalilga bog‘langan matnli tushuntirish yoki tuzilmali natijani so‘rang. Model talqini va muhit bajarishi ishning alohida qismlaridir.\n\nIshlab chiqaruvchining baholashi modelning yashirin ko‘rsatmalar ta’siriga beriluvchanligi asl Opus 4 dagiga o‘xshash ekanini bildiradi. Unda agentni foydalanuvchi vazifasidan chetga burishga urinadigan yashirin matn yoki interfeys elementlari alohida tekshiriladi. Vazifa ko‘rsatmalarini vositalar qaytargan materialdan ajrating va sahifa yoki hujjatni talqin qilganda asl maqsadni saqlang. Bu agent ish jarayoni uchun muhim shart: tashqi kontent ichida bir so‘rov ko‘rinishi uni foydalanuvchi ruxsat bergan ko‘rsatmaga aylantirmaydi. Model himoyalari uchragan har bir sahifani ishonchli kirishga aylantirmaydi.\n\nUning tizim kartasida mukofot mexanizmini aldash deb ataladigan dasturlash cheklovi ham tavsiflangan, jumladan javoblarni kodga qat’iy kiritish va faqat model oldidagi misollarga moslangan yechimlar. Opus 4.1 Opus 4 ga o‘xshash moyilliklarni ko‘rsatadi, shu yo‘nalishdagi baholashlarda ayrim yomonlashishlar ham bor. Kod taklifida umumiy talabni bajaradigan yechimni so‘rang, u qamrab oladigan shartlarni aniqlang va bitta taqdim etilgan misoldan tashqari tekshiruvlarni kiriting. Yakuniy hisobotda nima taklif etilgani, muhit nimani haqiqatan tekshirgani va nimani aniqlab bo‘lmaganini ajratishni so‘rang. Bu modelning aniq nosozlik tuzatish va tafsilot kuzatish kuchlarini xatti-harakati tekshiriladigan aniq natijaga bog‘laydi.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">A</span><h2 id=\"sheet-title\">Anthropic: Claude Opus 4.1</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Yopish\">×</button></div><div class=\"idline\"><span>Anthropic /</span><code>claude-opus-4-1-20250805-thinking</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|claude-opus-4-1-20250805-thinking\">Chat</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\">Claude Opus 4.1 — Anthropic kompaniyasining agentga asoslangan dasturiy ishlar, tadqiqot, ma’lumotlar tahlili va fikrlash uchun Opus 4 yangilanishi. Uning yo‘nalishlari tafsilotlarni kuzatish, bir necha faylga kod o‘zgartirishlari va aniq nosozliklarni tuzatishni o‘z ichiga oladi; standart javoblar yoki ixtiyoriy kengaytirilgan fikrlash mavjud.</p><dl class=\"card-io\" data-card-io><div><dt>Qabul qilinadigan kirish ma’lumotlari</dt><dd>Matn</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>Claude Opus 4.1 — Anthropic kompaniyasining agent vazifalari, haqiqiy dasturlash va fikrlashga yo‘naltirilgan asl Claude Opus 4 yangilanishi. Relizda chuqur tadqiqot va ma’lumotlar tahlili, ayniqsa katta vazifa ichida tafsilotlarni kuzatish va qidirishdan foydalanish ham ta’kidlangan. Ilova qilingan tizim kartasi qo‘shimchasida fikrlash sifati va ko‘rsatmalarga rioya qilish yaxshilanishlari tavsiflangan. U asl Opus 4 va keyingi Opus 4.5, 4.6 hamda 5 modellaridan alohida nashr bo‘lib qoladi; ularning rejim va chegaralarini bu yangilanish spetsifikatsiyasi deb qabul qilmaslik kerak.</p><p>Kod bilan ishlash uchun reliz bir necha faylni refaktoring qilish va katta kod bazasi ichidagi aniq tuzatishlarni topishni ta’kidlaydi. Modelga tegishli fayllar yoki parchalar, mavjud xatti-harakat, kerakli xatti-harakat va to‘g‘ri o‘zgartirish saqlashi kerak bo‘lgan cheklovlarni bering. Namunaviy so‘rov bog‘liq funksiyalar bo‘ylab nosozlikni kuzatish, eng kichik izchil o‘zgartirishni taklif etish va har bir o‘zgartirilgan qism nega kerakligini tushuntirishni so‘rashi mumkin. Foydali natija asl muammoni yashiradigan keng qayta yozish emas, balki manba konteksti va farazlari saqlangan, ko‘rib chiqish mumkin bo‘lgan patch yoki kod taklifidir.</p><p>Tadqiqot va ma’lumotlar tahlilida tafsilotlarni kuzatish yo‘nalishi savol bir necha parcha yoki kuzatuvga bog‘liq bo‘lganda foydali. Materialni manba identifikatorlari bilan bering, savolni belgilang va har bir xulosani tasdiqlovchi dalilni so‘rang. Amaliy topshiriqda ikki hujjat qayerda mos kelishi, qayerda farqlanishi va qaysi savollar javobsiz qolishini ko‘rsatadigan taqqoslash jadvali so‘ralishi mumkin. Qidirish ish jarayonining qismi bo‘lsa, vositani va u qaytargan kontentni ilova taqdim etadi. Model bu natijalarni mavjud material bilan bog‘laydi; uning matnida qidirish taklif etilishi qidirish tugallanganini anglatmaydi.</p><p>Opus 4.1 standart javob rejimiga va ixtiyoriy kengaytirilgan fikrlashga ega. Avvalgi fikrlash qo‘llanmasi eng kam 1,024 token bilan budget_tokens orqali bevosita boshqaruv beradi. Budjet odatda max_tokens dan past bo‘ladi, chunki ichki fikrlash va yakuniy javob umumiy yaratish limitidan foydalanadi. U butun hajmni sarflash va’dasi emas, fikrlash uchun maqsadli hajmdir. Keyingi Opus nashrlarining moslashuvchan fikrlashi va fikrlash kuchini boshqarish sozlamalari alohida imkoniyatlardir. Qo‘shimcha tahlil o‘quvchiga kerakli natijaga olib kelishi uchun muammoni to‘liq tayyorlang va yakuniy javob formatini belgilang.</p><p>Avvalgi Claude 4 modellari uchun hujjatlashtirilgan beta imkoniyati bir yordamchi navbati ichida vosita chaqiruvlari orasida fikrlashni qo‘llab-quvvatlaydi. U qo‘llab-quvvatlanadigan Messages ish jarayonida ishlab chiqaruvchining fikrlashni chaqiruvlar bilan navbatlashtirish imkoniyatidan foydalanadi. Bu rejimda fikrlash budjeti bir necha blokni qamrab olishi va hujjatlashtirilgan istisno bo‘yicha bir navbatning max_tokens qiymatidan oshishi mumkin. Tegishli fikrlash blokini, jumladan uning imzosini vosita natijasi bilan o‘zgartirmasdan qaytaring. Shunda nosozlikni aniqlash ish jarayoni taklif etilgan amallarni tugallanganlaridan ajratgan holda tahlil, ilova bajargan tekshiruv va haqiqiy chiqish talqinini navbatlashtirishi mumkin.</p><p>Tizim kartasi qo‘shimchasida vositalar bilan uzoqroq dasturlash vazifalari bilan bir qatorda ekranni kuzatish, sichqoncha amallari va klaviatura kirishini o‘z ichiga olgan kompyuterdan foydalanish vazifalari ham tavsiflangan. Model taqdim etilgan vizual holatdan kelib chiqib fikrlashi va ulangan muhitda amal tanlashi mumkin; o‘zaro amalni ilova bajaradi va nima o‘zgarganini qaytaradi. Ekranga oid topshiriqda maqsad, tegishli ko‘rinadigan boshqaruvlar va ruxsat etilgan amallarni aniqlang. Hujjat yoki ma’lumot ish jarayonida taqdim etilgan dalilga bog‘langan matnli tushuntirish yoki tuzilmali natijani so‘rang. Model talqini va muhit bajarishi ishning alohida qismlaridir.</p><p>Ishlab chiqaruvchining baholashi modelning yashirin ko‘rsatmalar ta’siriga beriluvchanligi asl Opus 4 dagiga o‘xshash ekanini bildiradi. Unda agentni foydalanuvchi vazifasidan chetga burishga urinadigan yashirin matn yoki interfeys elementlari alohida tekshiriladi. Vazifa ko‘rsatmalarini vositalar qaytargan materialdan ajrating va sahifa yoki hujjatni talqin qilganda asl maqsadni saqlang. Bu agent ish jarayoni uchun muhim shart: tashqi kontent ichida bir so‘rov ko‘rinishi uni foydalanuvchi ruxsat bergan ko‘rsatmaga aylantirmaydi. Model himoyalari uchragan har bir sahifani ishonchli kirishga aylantirmaydi.</p><p>Uning tizim kartasida mukofot mexanizmini aldash deb ataladigan dasturlash cheklovi ham tavsiflangan, jumladan javoblarni kodga qat’iy kiritish va faqat model oldidagi misollarga moslangan yechimlar. Opus 4.1 Opus 4 ga o‘xshash moyilliklarni ko‘rsatadi, shu yo‘nalishdagi baholashlarda ayrim yomonlashishlar ham bor. Kod taklifida umumiy talabni bajaradigan yechimni so‘rang, u qamrab oladigan shartlarni aniqlang va bitta taqdim etilgan misoldan tashqari tekshiruvlarni kiriting. Yakuniy hisobotda nima taklif etilgani, muhit nimani haqiqatan tekshirgani va nimani aniqlab bo‘lmaganini ajratishni so‘rang. Bu modelning aniq nosozlik tuzatish va tafsilot kuzatish kuchlarini xatti-harakati tekshiriladigan aniq natijaga bog‘laydi.</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></dd></div><div><dt>Chiqish</dt><dd><code>text</code></dd></div><div><dt>Chiqish formati</dt><dd>json yoki 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 data-parameter-availability=\"source_interface\"><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>claude-opus-4-1-20250805-thinking</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><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>message[]</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>Elementlarning eng kam soni: 1</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">messages[].role</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 class=\"note-s\">Modelga bogʻliq</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">messages[].content</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>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>Quyidagi holatda qo‘llanadi: Matnli suhbat</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><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></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>Matn</b> · UTF8 matni</p><p class=\"note-s\"><code>messages[].content</code></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>material_types</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>text</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>messages</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>role/content tuzilishidagi xabarlar massivi</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>file_material</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>Haqiqiy UTF-8 hujjati aynan matn sifatida kiritiladi; fayl IDsi faraz qilinmaydi</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>optional_controls</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>control_scope</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>Matnli suhbat; stream mantiqiy qiymat bo‘lib, standart holatda false.</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>output_modalities</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>text</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>hosted_operations</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>false</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>multimodal_input_binding</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>null</td></tr></tbody></table></div><p>Usul taxalluslari: <code>/chat/completions</code></p><p>Hayot sikli: <code>synchronous_or_streamed</code></p><p class=\"note-s\">Aniq model IDsini messages bilan yuboring.</p><p class=\"note-s\">Kontekst uzunligi chiqishning yuqori chegarasi emas.</p><p class=\"note-s\">Matn fayli aynan matnni taqdim etishi mumkin; tasvir, audio va fayl obyekti kirishlari aniq bog‘lashni talab qiladi.</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>Ko‘rsatilmagan <span class=\"note-s\">Tezkor rejim tanlanganda</span></dd><dt>Flex rejimi</dt><dd>Ko‘rsatilmagan <span class=\"note-s\">flex rejimi tanlanganda</span></dd><dt>Maksimal fikrlash darajasi</dt><dd>Ko‘rsatilmagan <span class=\"note-s\">Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda</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>$0.03</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Chiqish · Chiqish tokenlari</span> <b>$0.15</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshdan o‘qish</span> <b>$0.0006</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish</span> <b>$0.0075</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish, 1 soat</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. <a href=\"/docs/uz/billing/reserve/\">Summani band qilish va to‘lovni hisoblash tartibi →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">So‘rov namunalari</h3><h4>Ailoot Ultra · OpenAI Chat</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kod variantlari\"><button class=\"cg-tab\" id=\"model-code-1165-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1165-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl</button><button class=\"cg-tab\" id=\"model-code-1165-tab-1\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1165-panel-1\" aria-selected=\"false\" tabindex=\"-1\">Python SDK</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kodni nusxalash\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-1165-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1165-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np=json.loads(&#39;{&quot;model&quot;:&quot;claude-opus-4-1-20250805-thinking&quot;,&quot;messages&quot;:[{&quot;role&quot;:&quot;user&quot;,&quot;content&quot;:&quot;hello&quot;}],&quot;stream&quot;:false}&#39;)\n\nPath(&quot;request.json&quot;).write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - &lt;&lt;&#39;PY_RESULT&#39;\nimport json\nfrom pathlib import Path\nr=json.loads(Path(&quot;result.json&quot;).read_text())\nfor x in r.get(&quot;choices&quot;,[]):\n    if x.get(&quot;message&quot;,{}).get(&quot;content&quot;): print(x[&quot;message&quot;][&quot;content&quot;])\nPY_RESULT\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-1165-panel-1\" role=\"tabpanel\" aria-labelledby=\"model-code-1165-tab-1\" hidden><pre data-lang=\"python\"><code>from openai import OpenAI\nimport os\n\nif not os.environ.get(&quot;AILOOT_API_KEY&quot;, &quot;&quot;).strip(): raise SystemExit(&quot;Set AILOOT_API_KEY before making a request&quot;)\nclient=OpenAI(base_url=&quot;https://api.ailoot.ai/v1&quot;,api_key=os.environ[&quot;AILOOT_API_KEY&quot;],max_retries=0)\nresult=client.chat.completions.create(model=&quot;claude-opus-4-1-20250805-thinking&quot;, messages=[{&quot;role&quot;:&quot;user&quot;,&quot;content&quot;:&quot;hello&quot;}], stream=False)\nimport base64, json\nfrom pathlib import Path\n\ndef save_result(data, stem=&quot;result&quot;):\n    # Keep every field, including usage, IDs, reasoning and tool requests.\n    Path(stem + &quot;.json&quot;).write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding=&quot;utf-8&quot;)\n    print(json.dumps(data, ensure_ascii=False, indent=2))\n    def save_blob(encoded, suffix, label):\n        raw = base64.b64decode(encoded, altchars=b&quot;-_&quot;, validate=True)\n        ext = &quot;png&quot; if raw.startswith(b&quot;\\x89PNG\\r\\n\\x1a\\n&quot;) else &quot;jpg&quot; if raw.startswith(b&quot;\\xff\\xd8&quot;) else &quot;webp&quot; if raw[:4] == b&quot;RIFF&quot; and raw[8:12] == b&quot;WEBP&quot; else suffix\n        file = Path(stem + &quot;-&quot; + label + &quot;.&quot; + ext)\n        file.write_bytes(raw)\n        print(&quot;Saved&quot;, file)\n    for index, block in enumerate(data.get(&quot;content&quot;) or []):\n        print(&quot;Content&quot;, index, json.dumps(block, ensure_ascii=False))\n    for choice in data.get(&quot;choices&quot;) or []:\n        print(&quot;Choice&quot;, choice.get(&quot;index&quot;), json.dumps(choice.get(&quot;message&quot;, choice.get(&quot;delta&quot;, {})), ensure_ascii=False))\n    for index, item in enumerate(data.get(&quot;output&quot;) or []):\n        print(&quot;Output&quot;, index, json.dumps(item, ensure_ascii=False))\n        if item.get(&quot;type&quot;) == &quot;image_generation_call&quot; and item.get(&quot;result&quot;):\n            save_blob(item[&quot;result&quot;], item.get(&quot;output_format&quot;) or &quot;bin&quot;, &quot;output-&quot; + str(index))\n    for ci, candidate in enumerate(data.get(&quot;candidates&quot;) or []):\n        for pi, part in enumerate((candidate.get(&quot;content&quot;) or {}).get(&quot;parts&quot;) or []):\n            print(&quot;Candidate/part&quot;, ci, pi, json.dumps(part, ensure_ascii=False))\n            blob = part.get(&quot;inlineData&quot;) or part.get(&quot;inline_data&quot;)\n            if blob and blob.get(&quot;data&quot;):\n                mime = blob.get(&quot;mimeType&quot;) or blob.get(&quot;mime_type&quot;)\n                suffix = {&quot;image/png&quot;:&quot;png&quot;, &quot;image/jpeg&quot;:&quot;jpg&quot;, &quot;image/webp&quot;:&quot;webp&quot;, &quot;audio/wav&quot;:&quot;wav&quot;, &quot;audio/mpeg&quot;:&quot;mp3&quot;, &quot;video/mp4&quot;:&quot;mp4&quot;}.get(mime, &quot;bin&quot;)\n                save_blob(blob[&quot;data&quot;], suffix, &quot;candidate-&quot; + str(ci) + &quot;-part-&quot; + str(pi))\n\nsave_result(result.to_dict(mode=&quot;json&quot;))\n</code></pre></div></div></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 yoki 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 javob variantini va uning kontenti, vosita chaqiruvlari hamda fikrlash ma’lumotlarini saqlang. SSEda o‘zgarish qismlarini variant va vosita indeksi bo‘yicha yig‘ing, yakuniy tugash sababi va sarf ma’lumotlarini saqlang.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Asl javobni tekshirish kerak bo‘lsa</h5><p class=\"note-s\">So‘rov va javob IDlari hamda sarlavhalarini saqlang. Matn vazifasini olish uchun umumiy URL taqdim etilmagan.</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[].index</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>integer</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">choices[].message.content</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>string|null</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">choices[].message.tool_calls</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>tool_call[]</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">choices[].message.reasoning_content</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>string</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">choices[].message.reasoning_details</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>object|array</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">choices[].finish_reason</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>string|null</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 maydonlar, material ifodasi yoki parametr qiymati noto‘g‘ri</td><td data-cell-label=\"Keyingi qadam\"><span class=\"card-cell-label\">Keyingi qadam</span>Yangi yaratish so‘rovidan oldin ko‘rsatilgan maydonlarni tuzating.</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=claude-opus-4-1-20250805-thinking&amp;route=Ultra&amp;caller=claude-opus-4-1-20250805-thinking&amp;fmt=chat\"><code>claude-opus-4-1-20250805-thinking</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=claude-opus-4-1-20250805-thinking&amp;route=Ultra&amp;caller=claude-opus-4-1-20250805-thinking&amp;fmt=chat\"><code>claude-opus-4-1-20250805-thinking</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "claude-opus-4-1-20250805-thinking",
        "fmt": "chat",
        "http": "POST",
        "path": "/v1/chat/completions",
        "request_model_id": "claude-opus-4-1-20250805-thinking",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|chat|/v1/chat/completions|claude-opus-4-1-20250805-thinking",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": 0.6,
        "cache_write": 7.5,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Keep every choice and its content/tool calls/reasoning. In SSE assemble deltas by choice/tool index, retain the final finish reason and usage.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "errors": [
              {
                "code": null,
                "condition": "Majburiy maydonlar, material ifodasi yoki parametr qiymati noto‘g‘ri",
                "http_status": 400,
                "recovery": "Yangi yaratish so‘rovidan oldin ko‘rsatilgan maydonlarni tuzating.",
                "type": "invalid_request_error"
              }
            ],
            "hints": [
              "Model context is not an output cap.",
              "Send the conversation as text messages. Stream must be a boolean; omitted stream defaults to false."
            ],
            "ignored_fields": [],
            "lifecycle": {
              "create": {
                "http": "POST",
                "path": "/v1/chat/completions"
              },
              "job_read": null,
              "mode": "synchronous_or_streamed",
              "unknown": "So‘rov va javob IDlari hamda sarlavhalarini saqlang. Matn vazifasini olish uchun umumiy URL taqdim etilmagan."
            },
            "material_combinations": [
              {
                "mode": "text",
                "representation": "messages[].content",
                "required_material": "UTF8 matni"
              }
            ],
            "operation_modes": [
              "conversation"
            ],
            "outputs": {
              "all_results": "Har bir javob variantini va uning kontenti, vosita chaqiruvlari hamda fikrlash ma’lumotlarini saqlang. SSEda o‘zgarish qismlarini variant va vosita indeksi bo‘yicha yig‘ing, yakuniy tugash sababi va sarf ma’lumotlarini saqlang.",
              "family": "text",
              "fields": [
                {
                  "description": null,
                  "name": "choices[].index",
                  "type": "integer"
                },
                {
                  "description": null,
                  "name": "choices[].message.content",
                  "type": "string|null"
                },
                {
                  "description": null,
                  "name": "choices[].message.tool_calls",
                  "type": "tool_call[]"
                },
                {
                  "description": null,
                  "name": "choices[].message.reasoning_content",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "choices[].message.reasoning_details",
                  "type": "object|array"
                },
                {
                  "description": null,
                  "name": "choices[].finish_reason",
                  "type": "string|null"
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": "object"
                }
              ],
              "format": "json yoki SSE"
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "claude-opus-4-1-20250805-thinking"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "min_items": 1,
                "name": "messages",
                "required": true,
                "type": "message[]"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].role",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].content",
                "required": false,
                "type": "string",
                "when": "Matnli suhbat"
              },
              {
                "availability": "source_interface",
                "default": false,
                "default_known": true,
                "enum": null,
                "enum_known": false,
                "name": "stream",
                "required": false,
                "type": "boolean"
              }
            ],
            "profile_binding": "Text conversation at the exact model ID and method path.",
            "unsupported": [
              "additional models/models list",
              "plugins",
              "route",
              "hosted tools; ordinary client function tools remain separate",
              "non-text output modalities",
              "provider.options overrides",
              "one-hour prompt-cache TTL"
            ]
          },
          "hints": [
            "Aniq model IDsini messages bilan yuboring.",
            "Kontekst uzunligi chiqishning yuqori chegarasi emas.",
            "Matn fayli aynan matnni taqdim etishi mumkin; tasvir, audio va fayl obyekti kirishlari aniq bog‘lashni talab qiladi."
          ],
          "input": {
            "content_type": "application/json",
            "control_scope": "Matnli suhbat; stream mantiqiy qiymat bo‘lib, standart holatda false.",
            "file_material": "Haqiqiy UTF-8 hujjati aynan matn sifatida kiritiladi; fayl IDsi faraz qilinmaydi",
            "hosted_operations": false,
            "material_types": [
              "text"
            ],
            "messages": "role/content tuzilishidagi xabarlar massivi",
            "multimodal_input_binding": null,
            "optional_controls": [
              "stream"
            ],
            "output_modalities": [
              "text"
            ],
            "required": [
              "model",
              "messages"
            ]
          },
          "lifecycle": {
            "mode": "synchronous_or_streamed",
            "unknown": "preserve original request id; no generic chat job retrieval path"
          },
          "manufacturer_capability": null,
          "method": {
            "http": "POST",
            "path": "/v1/chat/completions"
          },
          "method_aliases": [
            "/chat/completions"
          ],
          "operation_modes": [
            "text_chat"
          ],
          "output": {
            "content": "choices[].message.content or stream delta",
            "family": "text",
            "format": "json or supported SSE",
            "tool_calls": "retain actual returned function calls"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Tokenlar uchun bazaviy tariflar",
            "units": [
              {
                "amount": "0.03000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00003",
                "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": "0.15000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.00015",
                "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": "0.0006000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.0000006",
                "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": "0.0075000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0.0000075",
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\":\"claude-opus-4-1-20250805-thinking\",\"messages\":[{\"role\":\"user\",\"content\":\"hello\"}],\"stream\":false}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nr=json.loads(Path(\"result.json\").read_text())\nfor x in r.get(\"choices\",[]):\n    if x.get(\"message\",{}).get(\"content\"): print(x[\"message\"][\"content\"])\nPY_RESULT\n",
            "label": "curl · retained exact creation",
            "language": "bash"
          },
          {
            "code": "from openai import OpenAI\nimport os\n\nif not os.environ.get(\"AILOOT_API_KEY\", \"\").strip(): raise SystemExit(\"Set AILOOT_API_KEY before making a request\")\nclient=OpenAI(base_url=\"https://api.ailoot.ai/v1\",api_key=os.environ[\"AILOOT_API_KEY\"],max_retries=0)\nresult=client.chat.completions.create(model=\"claude-opus-4-1-20250805-thinking\", messages=[{\"role\":\"user\",\"content\":\"hello\"}], stream=False)\nimport base64, json\nfrom pathlib import Path\n\ndef save_result(data, stem=\"result\"):\n    # Keep every field, including usage, IDs, reasoning and tool requests.\n    Path(stem + \".json\").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding=\"utf-8\")\n    print(json.dumps(data, ensure_ascii=False, indent=2))\n    def save_blob(encoded, suffix, label):\n        raw = base64.b64decode(encoded, altchars=b\"-_\", validate=True)\n        ext = \"png\" if raw.startswith(b\"\\x89PNG\\r\\n\\x1a\\n\") else \"jpg\" if raw.startswith(b\"\\xff\\xd8\") else \"webp\" if raw[:4] == b\"RIFF\" and raw[8:12] == b\"WEBP\" else suffix\n        file = Path(stem + \"-\" + label + \".\" + ext)\n        file.write_bytes(raw)\n        print(\"Saved\", file)\n    for index, block in enumerate(data.get(\"content\") or []):\n        print(\"Content\", index, json.dumps(block, ensure_ascii=False))\n    for choice in data.get(\"choices\") or []:\n        print(\"Choice\", choice.get(\"index\"), json.dumps(choice.get(\"message\", choice.get(\"delta\", {})), ensure_ascii=False))\n    for index, item in enumerate(data.get(\"output\") or []):\n        print(\"Output\", index, json.dumps(item, ensure_ascii=False))\n        if item.get(\"type\") == \"image_generation_call\" and item.get(\"result\"):\n            save_blob(item[\"result\"], item.get(\"output_format\") or \"bin\", \"output-\" + str(index))\n    for ci, candidate in enumerate(data.get(\"candidates\") or []):\n        for pi, part in enumerate((candidate.get(\"content\") or {}).get(\"parts\") or []):\n            print(\"Candidate/part\", ci, pi, json.dumps(part, ensure_ascii=False))\n            blob = part.get(\"inlineData\") or part.get(\"inline_data\")\n            if blob and blob.get(\"data\"):\n                mime = blob.get(\"mimeType\") or blob.get(\"mime_type\")\n                suffix = {\"image/png\":\"png\", \"image/jpeg\":\"jpg\", \"image/webp\":\"webp\", \"audio/wav\":\"wav\", \"audio/mpeg\":\"mp3\", \"video/mp4\":\"mp4\"}.get(mime, \"bin\")\n                save_blob(blob[\"data\"], suffix, \"candidate-\" + str(ci) + \"-part-\" + str(pi))\n\nsave_result(result.to_dict(mode=\"json\"))\n",
            "label": "Python SDK · all choices",
            "language": "python"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "chat",
        "hints": [
          "Send exact model ID with messages.",
          "Context length is not an output cap.",
          "A text file may supply literal text; image/audio/file-object inputs need exact binding."
        ],
        "http": "POST",
        "in": 30,
        "input": [
          "text"
        ],
        "label": "OpenAI Chat",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [
          "/chat/completions"
        ],
        "out": 150,
        "output": [
          "text"
        ],
        "path": "/v1/chat/completions",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "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": "0.03000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00003",
                "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": "0.15000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.00015",
                "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": "0.0006000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.0000006",
                "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": "0.0075000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0.0000075",
                "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": "claude-opus-4-1-20250805-thinking",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "units": [
          {
            "amount": "0.03000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.00003",
            "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": "0.15000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0.00015",
            "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": "0.0006000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": "0.0000006",
            "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": "0.0075000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": "0.0000075",
            "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": "claude-opus-4-1-20250805-thinking",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "76a0f2cb9f56f74e7113fbde415a356e43547ba624528683c721067584d14485",
    "input_html_sha256": "0695db71fe61d04e2aca2600f3447ee8838dea197d341503dcb835533689fa83",
    "private_audit_sha256": "4d55f3d391985477ceac8bfcd892fbae6318d937f2fe7f2c2455ed96a2b0ce3a",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/uz/claude-opus-4-1-20250805-thinking/",
    "description": "Claude Opus 4.1 — Anthropic kompaniyasining agentga asoslangan dasturiy ishlar, tadqiqot, ma’lumotlar tahlili va fikrlash uchun Opus 4 yangilanishi. Uning yo‘nalishlari tafsilotlarni kuzatish, bir necha faylga kod o‘zgartirishlari va aniq nosozliklarni tuzatishni o‘z ichiga oladi; standart javoblar yoki ixtiyoriy kengaytirilgan fikrlash mavjud.",
    "locale": "uz",
    "md_url": "https://ailoot.ai/models/uz/claude-opus-4-1-20250805-thinking/index.md",
    "title": "Anthropic: Claude Opus 4.1 — Ailoot",
    "url": "https://ailoot.ai/models/uz/claude-opus-4-1-20250805-thinking/"
  },
  "rawModel": {
    "about": "Claude Opus 4.1 — Anthropic kompaniyasining agent vazifalari, haqiqiy dasturlash va fikrlashga yo‘naltirilgan asl Claude Opus 4 yangilanishi. Relizda chuqur tadqiqot va ma’lumotlar tahlili, ayniqsa katta vazifa ichida tafsilotlarni kuzatish va qidirishdan foydalanish ham ta’kidlangan. Ilova qilingan tizim kartasi qo‘shimchasida fikrlash sifati va ko‘rsatmalarga rioya qilish yaxshilanishlari tavsiflangan. U asl Opus 4 va keyingi Opus 4.5, 4.6 hamda 5 modellaridan alohida nashr bo‘lib qoladi; ularning rejim va chegaralarini bu yangilanish spetsifikatsiyasi deb qabul qilmaslik kerak.\n\nKod bilan ishlash uchun reliz bir necha faylni refaktoring qilish va katta kod bazasi ichidagi aniq tuzatishlarni topishni ta’kidlaydi. Modelga tegishli fayllar yoki parchalar, mavjud xatti-harakat, kerakli xatti-harakat va to‘g‘ri o‘zgartirish saqlashi kerak bo‘lgan cheklovlarni bering. Namunaviy so‘rov bog‘liq funksiyalar bo‘ylab nosozlikni kuzatish, eng kichik izchil o‘zgartirishni taklif etish va har bir o‘zgartirilgan qism nega kerakligini tushuntirishni so‘rashi mumkin. Foydali natija asl muammoni yashiradigan keng qayta yozish emas, balki manba konteksti va farazlari saqlangan, ko‘rib chiqish mumkin bo‘lgan patch yoki kod taklifidir.\n\nTadqiqot va ma’lumotlar tahlilida tafsilotlarni kuzatish yo‘nalishi savol bir necha parcha yoki kuzatuvga bog‘liq bo‘lganda foydali. Materialni manba identifikatorlari bilan bering, savolni belgilang va har bir xulosani tasdiqlovchi dalilni so‘rang. Amaliy topshiriqda ikki hujjat qayerda mos kelishi, qayerda farqlanishi va qaysi savollar javobsiz qolishini ko‘rsatadigan taqqoslash jadvali so‘ralishi mumkin. Qidirish ish jarayonining qismi bo‘lsa, vositani va u qaytargan kontentni ilova taqdim etadi. Model bu natijalarni mavjud material bilan bog‘laydi; uning matnida qidirish taklif etilishi qidirish tugallanganini anglatmaydi.\n\nOpus 4.1 standart javob rejimiga va ixtiyoriy kengaytirilgan fikrlashga ega. Avvalgi fikrlash qo‘llanmasi eng kam 1,024 token bilan budget_tokens orqali bevosita boshqaruv beradi. Budjet odatda max_tokens dan past bo‘ladi, chunki ichki fikrlash va yakuniy javob umumiy yaratish limitidan foydalanadi. U butun hajmni sarflash va’dasi emas, fikrlash uchun maqsadli hajmdir. Keyingi Opus nashrlarining moslashuvchan fikrlashi va fikrlash kuchini boshqarish sozlamalari alohida imkoniyatlardir. Qo‘shimcha tahlil o‘quvchiga kerakli natijaga olib kelishi uchun muammoni to‘liq tayyorlang va yakuniy javob formatini belgilang.\n\nAvvalgi Claude 4 modellari uchun hujjatlashtirilgan beta imkoniyati bir yordamchi navbati ichida vosita chaqiruvlari orasida fikrlashni qo‘llab-quvvatlaydi. U qo‘llab-quvvatlanadigan Messages ish jarayonida ishlab chiqaruvchining fikrlashni chaqiruvlar bilan navbatlashtirish imkoniyatidan foydalanadi. Bu rejimda fikrlash budjeti bir necha blokni qamrab olishi va hujjatlashtirilgan istisno bo‘yicha bir navbatning max_tokens qiymatidan oshishi mumkin. Tegishli fikrlash blokini, jumladan uning imzosini vosita natijasi bilan o‘zgartirmasdan qaytaring. Shunda nosozlikni aniqlash ish jarayoni taklif etilgan amallarni tugallanganlaridan ajratgan holda tahlil, ilova bajargan tekshiruv va haqiqiy chiqish talqinini navbatlashtirishi mumkin.\n\nTizim kartasi qo‘shimchasida vositalar bilan uzoqroq dasturlash vazifalari bilan bir qatorda ekranni kuzatish, sichqoncha amallari va klaviatura kirishini o‘z ichiga olgan kompyuterdan foydalanish vazifalari ham tavsiflangan. Model taqdim etilgan vizual holatdan kelib chiqib fikrlashi va ulangan muhitda amal tanlashi mumkin; o‘zaro amalni ilova bajaradi va nima o‘zgarganini qaytaradi. Ekranga oid topshiriqda maqsad, tegishli ko‘rinadigan boshqaruvlar va ruxsat etilgan amallarni aniqlang. Hujjat yoki ma’lumot ish jarayonida taqdim etilgan dalilga bog‘langan matnli tushuntirish yoki tuzilmali natijani so‘rang. Model talqini va muhit bajarishi ishning alohida qismlaridir.\n\nIshlab chiqaruvchining baholashi modelning yashirin ko‘rsatmalar ta’siriga beriluvchanligi asl Opus 4 dagiga o‘xshash ekanini bildiradi. Unda agentni foydalanuvchi vazifasidan chetga burishga urinadigan yashirin matn yoki interfeys elementlari alohida tekshiriladi. Vazifa ko‘rsatmalarini vositalar qaytargan materialdan ajrating va sahifa yoki hujjatni talqin qilganda asl maqsadni saqlang. Bu agent ish jarayoni uchun muhim shart: tashqi kontent ichida bir so‘rov ko‘rinishi uni foydalanuvchi ruxsat bergan ko‘rsatmaga aylantirmaydi. Model himoyalari uchragan har bir sahifani ishonchli kirishga aylantirmaydi.\n\nUning tizim kartasida mukofot mexanizmini aldash deb ataladigan dasturlash cheklovi ham tavsiflangan, jumladan javoblarni kodga qat’iy kiritish va faqat model oldidagi misollarga moslangan yechimlar. Opus 4.1 Opus 4 ga o‘xshash moyilliklarni ko‘rsatadi, shu yo‘nalishdagi baholashlarda ayrim yomonlashishlar ham bor. Kod taklifida umumiy talabni bajaradigan yechimni so‘rang, u qamrab oladigan shartlarni aniqlang va bitta taqdim etilgan misoldan tashqari tekshiruvlarni kiriting. Yakuniy hisobotda nima taklif etilgani, muhit nimani haqiqatan tekshirgani va nimani aniqlab bo‘lmaganini ajratishni so‘rang. Bu modelning aniq nosozlik tuzatish va tafsilot kuzatish kuchlarini xatti-harakati tekshiriladigan aniq natijaga bog‘laydi.",
    "alias_of": null,
    "aliases": [],
    "author": "Anthropic",
    "capabilities": {
      "context_length": 200000,
      "manufacturer_input": [
        "image",
        "text",
        "file"
      ],
      "manufacturer_output": [
        "text"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.03000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.00003",
            "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": "0.15000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0.00015",
            "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"
    ],
    "id": "claude-opus-4-1-20250805-thinking",
    "input": [
      "text"
    ],
    "kind": "text",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "cache_read": 0.6,
        "cache_write": 7.5,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Keep every choice and its content/tool calls/reasoning. In SSE assemble deltas by choice/tool index, retain the final finish reason and usage.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "errors": [
              {
                "code": null,
                "condition": "Majburiy maydonlar, material ifodasi yoki parametr qiymati noto‘g‘ri",
                "http_status": 400,
                "recovery": "Yangi yaratish so‘rovidan oldin ko‘rsatilgan maydonlarni tuzating.",
                "type": "invalid_request_error"
              }
            ],
            "hints": [
              "Model context is not an output cap.",
              "Send the conversation as text messages. Stream must be a boolean; omitted stream defaults to false."
            ],
            "ignored_fields": [],
            "lifecycle": {
              "create": {
                "http": "POST",
                "path": "/v1/chat/completions"
              },
              "job_read": null,
              "mode": "synchronous_or_streamed",
              "unknown": "So‘rov va javob IDlari hamda sarlavhalarini saqlang. Matn vazifasini olish uchun umumiy URL taqdim etilmagan."
            },
            "material_combinations": [
              {
                "mode": "text",
                "representation": "messages[].content",
                "required_material": "UTF8 matni"
              }
            ],
            "operation_modes": [
              "conversation"
            ],
            "outputs": {
              "all_results": "Har bir javob variantini va uning kontenti, vosita chaqiruvlari hamda fikrlash ma’lumotlarini saqlang. SSEda o‘zgarish qismlarini variant va vosita indeksi bo‘yicha yig‘ing, yakuniy tugash sababi va sarf ma’lumotlarini saqlang.",
              "family": "text",
              "fields": [
                {
                  "description": null,
                  "name": "choices[].index",
                  "type": "integer"
                },
                {
                  "description": null,
                  "name": "choices[].message.content",
                  "type": "string|null"
                },
                {
                  "description": null,
                  "name": "choices[].message.tool_calls",
                  "type": "tool_call[]"
                },
                {
                  "description": null,
                  "name": "choices[].message.reasoning_content",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "choices[].message.reasoning_details",
                  "type": "object|array"
                },
                {
                  "description": null,
                  "name": "choices[].finish_reason",
                  "type": "string|null"
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": "object"
                }
              ],
              "format": "json yoki SSE"
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "claude-opus-4-1-20250805-thinking"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "min_items": 1,
                "name": "messages",
                "required": true,
                "type": "message[]"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].role",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].content",
                "required": false,
                "type": "string",
                "when": "Matnli suhbat"
              },
              {
                "availability": "source_interface",
                "default": false,
                "default_known": true,
                "enum": null,
                "enum_known": false,
                "name": "stream",
                "required": false,
                "type": "boolean"
              }
            ],
            "profile_binding": "Text conversation at the exact model ID and method path.",
            "unsupported": [
              "additional models/models list",
              "plugins",
              "route",
              "hosted tools; ordinary client function tools remain separate",
              "non-text output modalities",
              "provider.options overrides",
              "one-hour prompt-cache TTL"
            ]
          },
          "hints": [
            "Aniq model IDsini messages bilan yuboring.",
            "Kontekst uzunligi chiqishning yuqori chegarasi emas.",
            "Matn fayli aynan matnni taqdim etishi mumkin; tasvir, audio va fayl obyekti kirishlari aniq bog‘lashni talab qiladi."
          ],
          "input": {
            "content_type": "application/json",
            "control_scope": "Matnli suhbat; stream mantiqiy qiymat bo‘lib, standart holatda false.",
            "file_material": "Haqiqiy UTF-8 hujjati aynan matn sifatida kiritiladi; fayl IDsi faraz qilinmaydi",
            "hosted_operations": false,
            "material_types": [
              "text"
            ],
            "messages": "role/content tuzilishidagi xabarlar massivi",
            "multimodal_input_binding": null,
            "optional_controls": [
              "stream"
            ],
            "output_modalities": [
              "text"
            ],
            "required": [
              "model",
              "messages"
            ]
          },
          "lifecycle": {
            "mode": "synchronous_or_streamed",
            "unknown": "preserve original request id; no generic chat job retrieval path"
          },
          "manufacturer_capability": null,
          "method": {
            "http": "POST",
            "path": "/v1/chat/completions"
          },
          "method_aliases": [
            "/chat/completions"
          ],
          "operation_modes": [
            "text_chat"
          ],
          "output": {
            "content": "choices[].message.content or stream delta",
            "family": "text",
            "format": "json or supported SSE",
            "tool_calls": "retain actual returned function calls"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Tokenlar uchun bazaviy tariflar",
            "units": [
              {
                "amount": "0.03000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00003",
                "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": "0.15000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.00015",
                "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": "0.0006000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.0000006",
                "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": "0.0075000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0.0000075",
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\":\"claude-opus-4-1-20250805-thinking\",\"messages\":[{\"role\":\"user\",\"content\":\"hello\"}],\"stream\":false}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nr=json.loads(Path(\"result.json\").read_text())\nfor x in r.get(\"choices\",[]):\n    if x.get(\"message\",{}).get(\"content\"): print(x[\"message\"][\"content\"])\nPY_RESULT\n",
            "label": "curl · retained exact creation",
            "language": "bash"
          },
          {
            "code": "from openai import OpenAI\nimport os\n\nif not os.environ.get(\"AILOOT_API_KEY\", \"\").strip(): raise SystemExit(\"Set AILOOT_API_KEY before making a request\")\nclient=OpenAI(base_url=\"https://api.ailoot.ai/v1\",api_key=os.environ[\"AILOOT_API_KEY\"],max_retries=0)\nresult=client.chat.completions.create(model=\"claude-opus-4-1-20250805-thinking\", messages=[{\"role\":\"user\",\"content\":\"hello\"}], stream=False)\nimport base64, json\nfrom pathlib import Path\n\ndef save_result(data, stem=\"result\"):\n    # Keep every field, including usage, IDs, reasoning and tool requests.\n    Path(stem + \".json\").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding=\"utf-8\")\n    print(json.dumps(data, ensure_ascii=False, indent=2))\n    def save_blob(encoded, suffix, label):\n        raw = base64.b64decode(encoded, altchars=b\"-_\", validate=True)\n        ext = \"png\" if raw.startswith(b\"\\x89PNG\\r\\n\\x1a\\n\") else \"jpg\" if raw.startswith(b\"\\xff\\xd8\") else \"webp\" if raw[:4] == b\"RIFF\" and raw[8:12] == b\"WEBP\" else suffix\n        file = Path(stem + \"-\" + label + \".\" + ext)\n        file.write_bytes(raw)\n        print(\"Saved\", file)\n    for index, block in enumerate(data.get(\"content\") or []):\n        print(\"Content\", index, json.dumps(block, ensure_ascii=False))\n    for choice in data.get(\"choices\") or []:\n        print(\"Choice\", choice.get(\"index\"), json.dumps(choice.get(\"message\", choice.get(\"delta\", {})), ensure_ascii=False))\n    for index, item in enumerate(data.get(\"output\") or []):\n        print(\"Output\", index, json.dumps(item, ensure_ascii=False))\n        if item.get(\"type\") == \"image_generation_call\" and item.get(\"result\"):\n            save_blob(item[\"result\"], item.get(\"output_format\") or \"bin\", \"output-\" + str(index))\n    for ci, candidate in enumerate(data.get(\"candidates\") or []):\n        for pi, part in enumerate((candidate.get(\"content\") or {}).get(\"parts\") or []):\n            print(\"Candidate/part\", ci, pi, json.dumps(part, ensure_ascii=False))\n            blob = part.get(\"inlineData\") or part.get(\"inline_data\")\n            if blob and blob.get(\"data\"):\n                mime = blob.get(\"mimeType\") or blob.get(\"mime_type\")\n                suffix = {\"image/png\":\"png\", \"image/jpeg\":\"jpg\", \"image/webp\":\"webp\", \"audio/wav\":\"wav\", \"audio/mpeg\":\"mp3\", \"video/mp4\":\"mp4\"}.get(mime, \"bin\")\n                save_blob(blob[\"data\"], suffix, \"candidate-\" + str(ci) + \"-part-\" + str(pi))\n\nsave_result(result.to_dict(mode=\"json\"))\n",
            "label": "Python SDK · all choices",
            "language": "python"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "chat",
        "hints": [
          "Send exact model ID with messages.",
          "Context length is not an output cap.",
          "A text file may supply literal text; image/audio/file-object inputs need exact binding."
        ],
        "http": "POST",
        "in": 30,
        "input": [
          "text"
        ],
        "label": "OpenAI Chat",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [
          "/chat/completions"
        ],
        "out": 150,
        "output": [
          "text"
        ],
        "path": "/v1/chat/completions",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "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": "0.03000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00003",
                "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": "0.15000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.00015",
                "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": "0.0006000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.0000006",
                "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": "0.0075000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0.0000075",
                "native_quantity": 1,
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            ]
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        ],
        "request_model_id": "claude-opus-4-1-20250805-thinking",
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            "rate_role": "typed_native_retail_rate",
            "side": "out",
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          {
            "amount": "0.0006000",
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            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
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            "side": "in",
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            "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",
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            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
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            "side": "in",
            "unit": "one_hour_cache_creation_token"
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        ]
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    ],
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        "request_model_id": "claude-opus-4-1-20250805-thinking",
        "route_label": "Ultra"
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    ],
    "name": "Anthropic: Claude Opus 4.1",
    "price": {
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      "in_label": null,
      "out": 150,
      "out_label": null,
      "scope_label": "Token rates",
      "sort_in": 30,
      "sort_out": 150,
      "varies": false
    },
    "short": "Claude Opus 4.1 — Anthropic kompaniyasining agentga asoslangan dasturiy ishlar, tadqiqot, ma’lumotlar tahlili va fikrlash uchun Opus 4 yangilanishi. Uning yo‘nalishlari tafsilotlarni kuzatish, bir necha faylga kod o‘zgartirishlari va aniq nosozliklarni tuzatishni o‘z ichiga oladi; standart javoblar yoki ixtiyoriy kengaytirilgan fikrlash mavjud."
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    "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
        }
      ],
      "role": "current-semantic-reference"
    },
    "raw_input": {
      "examples_role": "historical-input-not-current-ready-examples",
      "json_pointers": [
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        "/methods/0/rawMethod"
      ],
      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
  },
  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "Claude Opus 4.1 — Anthropic kompaniyasining agentga asoslangan dasturiy ishlar, tadqiqot, ma’lumotlar tahlili va fikrlash uchun Opus 4 yangilanishi. Uning yo‘nalishlari tafsilotlarni kuzatish, bir necha faylga kod o‘zgartirishlari va aniq nosozliklarni tuzatishni o‘z ichiga oladi; standart javoblar yoki ixtiyoriy kengaytirilgan fikrlash mavjud.",
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    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
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    "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6"
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}
