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  "aboutHtml": "<p>Claude Sonnet 4.5 — Anthropic kompaniyasining dasturiy ta’minot ishlab chiqish, murakkab agent vazifalari va kompyuterdan foydalanishga yo‘naltirilgan, fikrlash va matematikada yaxshilanishlarga ega Sonnet nashri. U matn va tasvirlarni qabul qiladi va matn yaratadi. Relizda bir necha bosqich bo‘ylab davomli ishlash, kodni tushunish va bitta alohida funksiya o‘rniga kengroq loyihaga taalluqli o‘zgartirishlar tavsiflangan. Foydali topshiriq kerakli xatti-harakatni, tegishli manba materialini va yetkaziladigan natijani belgilaydi: taklif etilgan patch, dasturiy yechim tushuntirishi, hujjat tahlili yoki tuzilmali javob.</p><p>Dasturiy ishlar uchun loyiha cheklovlari, tegishli fayllar yoki parchalar, kuzatilgan xato va kutilgan natijaning aniq misolini taqdim eting. O‘zgartiriladigan kodni va taklif etilgan o‘zgartirish shu misolni qanday hal qilishini tushuntirishni so‘rang. Ishlab chiqaruvchi modelni agentlar yaratish va vositalar yordamida dasturlash vazifalarini bajarishga mos deb taqdim etadi. Modelni o‘rab turgan ilova fayllarni o‘qiydi va tahrirlaydi, buyruq yoki tekshiruvni bajaradi va uning haqiqiy chiqishini qaytaradi; model esa shu dalil ustida fikrlaydi. Yakuniy hisobotda taklif etilgan o‘zgartirish bilan bajarilgan tekshiruvni ajrating.</p><p>Kompyuterdan foydalanish uning vizual va agent imkoniyatlarining alohida qo‘llanishidir. Anthropic relizida ulangan muhit orqali brauzer bilan o‘zaro ishlash, sahifalar bo‘ylab yurish va elektron jadvallar bilan ishlash namoyish etilgan. Vizual topshiriqda ekran tasvirini berish, maqsadni belgilash va ilova qaysi amallarga ruxsat berishini aniqlash mumkin. Ilova tanlangan o‘zaro amalni bajaradi va o‘zgargan ekran yoki boshqa natijani qaytaradi. Shunga o‘xshash, model hujjat, elektron jadval va slaydlar uchun kontent va kodni tayyorlashi, muhit esa tayyor faylni yaratishi mumkin. Matn va tasvirni tushunish modelni o‘zidan tasvir yoki audio yaratadigan modelga aylantirmaydi.</p><p>Ishlab chiqaruvchining aniq spetsifikatsiyasida 200K tokenli kontekst oynasi va 64K gacha chiqish tokeni ko‘rsatilgan. Uning ishonchli bilimlari chegarasi 2025-yil yanvar bo‘lib, sahifada ko‘rsatilgan keyinroq o‘qitish ma’lumotlari chegarasidan farq qiladi. Uzun kirishda hujjat chegaralari, sahifa belgilari, birliklar va kod identifikatorlarini aniq saqlang, so‘ralgan javob va fikrlash uchun joy qoldiring. Ishlab chiqaruvchi bu nashr uchun kontekstni hisobga olish imkoniyatini ham hujjatlashtiradi, shuning uchun qo‘llab-quvvatlanadigan ish jarayoni suhbat davomida qolgan joyni kuzatadi. Bu davomli vazifani o‘z oynasi ichida boshqarishga yordam beradi; oynani keyingi Sonnet nashrining kattaroq sig‘imi bilan almashtirmaydi.</p><p>Sonnet 4.5 oddiy javoblarni va qo‘lda boshqariladigan kengaytirilgan fikrlashni qo‘llab-quvvatlaydi. Ikkinchi rejimda budget_tokens ko‘rinadigan javobdan oldingi ichki fikrlash uchun maqsadli hajmni belgilaydi. Hujjatlashtirilgan eng kam qiymat 1,024 token, budjet esa odatda max_tokens dan past bo‘lishi kerak, chunki fikrlash bilan yakuniy javob umumiy yaratish limitidan foydalanadi. Budjet aynan shuncha token sarflash va’dasi emas, maqsadli hajmdir. Bu nashrda keyingi Sonnet modellari uchun tavsiflangan moslashuvchan fikrlash rejimi yoki fikrlash kuchini boshqarish mavjud emas. So‘ralgan tahlil chuqurligini tanlang va foydalanishga yaroqli yakuniy javob uchun yetarli limit qoldiring.</p><p>Ishlab chiqaruvchining fikrlashni vosita chaqiruvlari bilan navbatlashtiradigan beta imkoniyati Sonnet 4.5 ga bir muloqot navbati ichida vosita chaqiruvlari orasida fikrlash va qaytgan kuzatuvlardan keyingi qadamni tanlash imkonini beradi. Buning uchun qo‘llab-quvvatlanadigan Messages ish jarayonidagi hujjatlashtirilgan beta imkoniyati kerak. Bu holatda fikrlash budjeti max_tokens dan oshishi mumkin, chunki u yordamchining bir muloqot navbatidagi bir necha fikrlash blokini qamrab oladi. Vosita natijalarini ularga tegishli fikrlash kontenti, jumladan uning imzosi bilan o‘zgartirmasdan qaytaring; bu kontentni tahrirlash uni yaroqsiz qiladi. Shunday qilib, tadqiqot yoki nosozlikni aniqlash vazifasi matnli taklifni bajarilgan amal deb hisoblamasdan, taklif etilgan tekshiruv, haqiqiy qaytgan natija va yangilangan tahlilni navbatlashtirishi mumkin.</p><p>Vizual material uchun ishlab chiqaruvchi JPEG, PNG, GIF va WebPni qo‘llab-quvvatlaydi va animatsiyaning faqat birinchi kadridan foydalanadi. Bu nashr foydalanadigan standart tasvir darajasida uzun tomon 1,568 piksel bilan va vizual tokenlar 1,568 bilan cheklangan; kattaroq tasvirlar kichraytiriladi. Ishlab chiqaruvchining tasvir qo‘llanmasi 200K kontekstli modellar uchun bitta API so‘rovida 100 tagacha tasvirni ko‘rsatadi, lekin tasvirga va umumiy so‘rov hajmiga oid shartlarga oldinroq yetib qolish mumkin. Amaliy bo‘lsa, tasvirlarni savoldan oldin joylashtiring, bir necha tasvirni belgilang va mayda matn yoki diagramma belgilarini saqlang. Qo‘llanma aniq tasvirlarni va ko‘rinadigan tafsilotni talqin qilish uchun yetarli atrof kontekstini saqlashni tavsiya qiladi.</p><p>Uzoqroq agent ish jarayonlarini qo‘llab-quvvatlash uchun bu model bilan birga kontekstni tahrirlash va xotira vositasi taqdim etilgan. Bular foydali holatni saqlash yoki eski vosita materialini olib tashlashning ilova qo‘llab-quvvatlaydigan yo‘llari; cheksiz model xotirasi yoki keyingi serverda kontekstni ixchamlashtirish imkoniyati emas. Ko‘p bosqichli vazifada allaqachon qabul qilingan qarorlar, ochiq savol va keyingi qadam uchun zarur dalillarni saqlang. Anthropic tashqi kontentdagi yashirin ko‘rsatmalarga kuchliroq qarshilikni ham tavsiflaydi, shu bilan birga modelga xos tasniflagichlar ba’zan zararsiz materialni ham belgilashi mumkinligini qayd etadi. Foydali natija taqdim etilgan dalillarga bog‘langan, ko‘rib chiqish mumkin bo‘lgan material bo‘lib qoladi; bunda Sonnet 4.5 ning aniq rejim va chegaralari keyingi relizlardan ajratib saqlanadi.</p>",
  "aboutText": "Claude Sonnet 4.5 — Anthropic kompaniyasining dasturiy ta’minot ishlab chiqish, murakkab agent vazifalari va kompyuterdan foydalanishga yo‘naltirilgan, fikrlash va matematikada yaxshilanishlarga ega Sonnet nashri. U matn va tasvirlarni qabul qiladi va matn yaratadi. Relizda bir necha bosqich bo‘ylab davomli ishlash, kodni tushunish va bitta alohida funksiya o‘rniga kengroq loyihaga taalluqli o‘zgartirishlar tavsiflangan. Foydali topshiriq kerakli xatti-harakatni, tegishli manba materialini va yetkaziladigan natijani belgilaydi: taklif etilgan patch, dasturiy yechim tushuntirishi, hujjat tahlili yoki tuzilmali javob.\n\nDasturiy ishlar uchun loyiha cheklovlari, tegishli fayllar yoki parchalar, kuzatilgan xato va kutilgan natijaning aniq misolini taqdim eting. O‘zgartiriladigan kodni va taklif etilgan o‘zgartirish shu misolni qanday hal qilishini tushuntirishni so‘rang. Ishlab chiqaruvchi modelni agentlar yaratish va vositalar yordamida dasturlash vazifalarini bajarishga mos deb taqdim etadi. Modelni o‘rab turgan ilova fayllarni o‘qiydi va tahrirlaydi, buyruq yoki tekshiruvni bajaradi va uning haqiqiy chiqishini qaytaradi; model esa shu dalil ustida fikrlaydi. Yakuniy hisobotda taklif etilgan o‘zgartirish bilan bajarilgan tekshiruvni ajrating.\n\nKompyuterdan foydalanish uning vizual va agent imkoniyatlarining alohida qo‘llanishidir. Anthropic relizida ulangan muhit orqali brauzer bilan o‘zaro ishlash, sahifalar bo‘ylab yurish va elektron jadvallar bilan ishlash namoyish etilgan. Vizual topshiriqda ekran tasvirini berish, maqsadni belgilash va ilova qaysi amallarga ruxsat berishini aniqlash mumkin. Ilova tanlangan o‘zaro amalni bajaradi va o‘zgargan ekran yoki boshqa natijani qaytaradi. Shunga o‘xshash, model hujjat, elektron jadval va slaydlar uchun kontent va kodni tayyorlashi, muhit esa tayyor faylni yaratishi mumkin. Matn va tasvirni tushunish modelni o‘zidan tasvir yoki audio yaratadigan modelga aylantirmaydi.\n\nIshlab chiqaruvchining aniq spetsifikatsiyasida 200K tokenli kontekst oynasi va 64K gacha chiqish tokeni ko‘rsatilgan. Uning ishonchli bilimlari chegarasi 2025-yil yanvar bo‘lib, sahifada ko‘rsatilgan keyinroq o‘qitish ma’lumotlari chegarasidan farq qiladi. Uzun kirishda hujjat chegaralari, sahifa belgilari, birliklar va kod identifikatorlarini aniq saqlang, so‘ralgan javob va fikrlash uchun joy qoldiring. Ishlab chiqaruvchi bu nashr uchun kontekstni hisobga olish imkoniyatini ham hujjatlashtiradi, shuning uchun qo‘llab-quvvatlanadigan ish jarayoni suhbat davomida qolgan joyni kuzatadi. Bu davomli vazifani o‘z oynasi ichida boshqarishga yordam beradi; oynani keyingi Sonnet nashrining kattaroq sig‘imi bilan almashtirmaydi.\n\nSonnet 4.5 oddiy javoblarni va qo‘lda boshqariladigan kengaytirilgan fikrlashni qo‘llab-quvvatlaydi. Ikkinchi rejimda budget_tokens ko‘rinadigan javobdan oldingi ichki fikrlash uchun maqsadli hajmni belgilaydi. Hujjatlashtirilgan eng kam qiymat 1,024 token, budjet esa odatda max_tokens dan past bo‘lishi kerak, chunki fikrlash bilan yakuniy javob umumiy yaratish limitidan foydalanadi. Budjet aynan shuncha token sarflash va’dasi emas, maqsadli hajmdir. Bu nashrda keyingi Sonnet modellari uchun tavsiflangan moslashuvchan fikrlash rejimi yoki fikrlash kuchini boshqarish mavjud emas. So‘ralgan tahlil chuqurligini tanlang va foydalanishga yaroqli yakuniy javob uchun yetarli limit qoldiring.\n\nIshlab chiqaruvchining fikrlashni vosita chaqiruvlari bilan navbatlashtiradigan beta imkoniyati Sonnet 4.5 ga bir muloqot navbati ichida vosita chaqiruvlari orasida fikrlash va qaytgan kuzatuvlardan keyingi qadamni tanlash imkonini beradi. Buning uchun qo‘llab-quvvatlanadigan Messages ish jarayonidagi hujjatlashtirilgan beta imkoniyati kerak. Bu holatda fikrlash budjeti max_tokens dan oshishi mumkin, chunki u yordamchining bir muloqot navbatidagi bir necha fikrlash blokini qamrab oladi. Vosita natijalarini ularga tegishli fikrlash kontenti, jumladan uning imzosi bilan o‘zgartirmasdan qaytaring; bu kontentni tahrirlash uni yaroqsiz qiladi. Shunday qilib, tadqiqot yoki nosozlikni aniqlash vazifasi matnli taklifni bajarilgan amal deb hisoblamasdan, taklif etilgan tekshiruv, haqiqiy qaytgan natija va yangilangan tahlilni navbatlashtirishi mumkin.\n\nVizual material uchun ishlab chiqaruvchi JPEG, PNG, GIF va WebPni qo‘llab-quvvatlaydi va animatsiyaning faqat birinchi kadridan foydalanadi. Bu nashr foydalanadigan standart tasvir darajasida uzun tomon 1,568 piksel bilan va vizual tokenlar 1,568 bilan cheklangan; kattaroq tasvirlar kichraytiriladi. Ishlab chiqaruvchining tasvir qo‘llanmasi 200K kontekstli modellar uchun bitta API so‘rovida 100 tagacha tasvirni ko‘rsatadi, lekin tasvirga va umumiy so‘rov hajmiga oid shartlarga oldinroq yetib qolish mumkin. Amaliy bo‘lsa, tasvirlarni savoldan oldin joylashtiring, bir necha tasvirni belgilang va mayda matn yoki diagramma belgilarini saqlang. Qo‘llanma aniq tasvirlarni va ko‘rinadigan tafsilotni talqin qilish uchun yetarli atrof kontekstini saqlashni tavsiya qiladi.\n\nUzoqroq agent ish jarayonlarini qo‘llab-quvvatlash uchun bu model bilan birga kontekstni tahrirlash va xotira vositasi taqdim etilgan. Bular foydali holatni saqlash yoki eski vosita materialini olib tashlashning ilova qo‘llab-quvvatlaydigan yo‘llari; cheksiz model xotirasi yoki keyingi serverda kontekstni ixchamlashtirish imkoniyati emas. Ko‘p bosqichli vazifada allaqachon qabul qilingan qarorlar, ochiq savol va keyingi qadam uchun zarur dalillarni saqlang. Anthropic tashqi kontentdagi yashirin ko‘rsatmalarga kuchliroq qarshilikni ham tavsiflaydi, shu bilan birga modelga xos tasniflagichlar ba’zan zararsiz materialni ham belgilashi mumkinligini qayd etadi. Foydali natija taqdim etilgan dalillarga bog‘langan, ko‘rib chiqish mumkin bo‘lgan material bo‘lib qoladi; bunda Sonnet 4.5 ning aniq rejim va chegaralari keyingi relizlardan ajratib saqlanadi.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">A</span><h2 id=\"sheet-title\">Anthropic: Claude Sonnet 4.5</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Yopish\">×</button></div><div class=\"idline\"><span>Anthropic /</span><code>claude-sonnet-4-5-20250929-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-sonnet-4-5-20250929-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 Sonnet 4.5 — Anthropic kompaniyasining dasturiy ta’minot ishlab chiqish, murakkab agentlar, kompyuterdan foydalanish va tahliliy ishlar uchun matn va tasvir modeli. U bevosita javoblarni yoki qo‘lda boshqariladigan kengaytirilgan fikrlashni qo‘llab-quvvatlaydi; hujjatlashtirilgan beta ish jarayonida vosita chaqiruvlari orasida fikrlaydi.</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 Sonnet 4.5 — Anthropic kompaniyasining dasturiy ta’minot ishlab chiqish, murakkab agent vazifalari va kompyuterdan foydalanishga yo‘naltirilgan, fikrlash va matematikada yaxshilanishlarga ega Sonnet nashri. U matn va tasvirlarni qabul qiladi va matn yaratadi. Relizda bir necha bosqich bo‘ylab davomli ishlash, kodni tushunish va bitta alohida funksiya o‘rniga kengroq loyihaga taalluqli o‘zgartirishlar tavsiflangan. Foydali topshiriq kerakli xatti-harakatni, tegishli manba materialini va yetkaziladigan natijani belgilaydi: taklif etilgan patch, dasturiy yechim tushuntirishi, hujjat tahlili yoki tuzilmali javob.</p><p>Dasturiy ishlar uchun loyiha cheklovlari, tegishli fayllar yoki parchalar, kuzatilgan xato va kutilgan natijaning aniq misolini taqdim eting. O‘zgartiriladigan kodni va taklif etilgan o‘zgartirish shu misolni qanday hal qilishini tushuntirishni so‘rang. Ishlab chiqaruvchi modelni agentlar yaratish va vositalar yordamida dasturlash vazifalarini bajarishga mos deb taqdim etadi. Modelni o‘rab turgan ilova fayllarni o‘qiydi va tahrirlaydi, buyruq yoki tekshiruvni bajaradi va uning haqiqiy chiqishini qaytaradi; model esa shu dalil ustida fikrlaydi. Yakuniy hisobotda taklif etilgan o‘zgartirish bilan bajarilgan tekshiruvni ajrating.</p><p>Kompyuterdan foydalanish uning vizual va agent imkoniyatlarining alohida qo‘llanishidir. Anthropic relizida ulangan muhit orqali brauzer bilan o‘zaro ishlash, sahifalar bo‘ylab yurish va elektron jadvallar bilan ishlash namoyish etilgan. Vizual topshiriqda ekran tasvirini berish, maqsadni belgilash va ilova qaysi amallarga ruxsat berishini aniqlash mumkin. Ilova tanlangan o‘zaro amalni bajaradi va o‘zgargan ekran yoki boshqa natijani qaytaradi. Shunga o‘xshash, model hujjat, elektron jadval va slaydlar uchun kontent va kodni tayyorlashi, muhit esa tayyor faylni yaratishi mumkin. Matn va tasvirni tushunish modelni o‘zidan tasvir yoki audio yaratadigan modelga aylantirmaydi.</p><p>Ishlab chiqaruvchining aniq spetsifikatsiyasida 200K tokenli kontekst oynasi va 64K gacha chiqish tokeni ko‘rsatilgan. Uning ishonchli bilimlari chegarasi 2025-yil yanvar bo‘lib, sahifada ko‘rsatilgan keyinroq o‘qitish ma’lumotlari chegarasidan farq qiladi. Uzun kirishda hujjat chegaralari, sahifa belgilari, birliklar va kod identifikatorlarini aniq saqlang, so‘ralgan javob va fikrlash uchun joy qoldiring. Ishlab chiqaruvchi bu nashr uchun kontekstni hisobga olish imkoniyatini ham hujjatlashtiradi, shuning uchun qo‘llab-quvvatlanadigan ish jarayoni suhbat davomida qolgan joyni kuzatadi. Bu davomli vazifani o‘z oynasi ichida boshqarishga yordam beradi; oynani keyingi Sonnet nashrining kattaroq sig‘imi bilan almashtirmaydi.</p><p>Sonnet 4.5 oddiy javoblarni va qo‘lda boshqariladigan kengaytirilgan fikrlashni qo‘llab-quvvatlaydi. Ikkinchi rejimda budget_tokens ko‘rinadigan javobdan oldingi ichki fikrlash uchun maqsadli hajmni belgilaydi. Hujjatlashtirilgan eng kam qiymat 1,024 token, budjet esa odatda max_tokens dan past bo‘lishi kerak, chunki fikrlash bilan yakuniy javob umumiy yaratish limitidan foydalanadi. Budjet aynan shuncha token sarflash va’dasi emas, maqsadli hajmdir. Bu nashrda keyingi Sonnet modellari uchun tavsiflangan moslashuvchan fikrlash rejimi yoki fikrlash kuchini boshqarish mavjud emas. So‘ralgan tahlil chuqurligini tanlang va foydalanishga yaroqli yakuniy javob uchun yetarli limit qoldiring.</p><p>Ishlab chiqaruvchining fikrlashni vosita chaqiruvlari bilan navbatlashtiradigan beta imkoniyati Sonnet 4.5 ga bir muloqot navbati ichida vosita chaqiruvlari orasida fikrlash va qaytgan kuzatuvlardan keyingi qadamni tanlash imkonini beradi. Buning uchun qo‘llab-quvvatlanadigan Messages ish jarayonidagi hujjatlashtirilgan beta imkoniyati kerak. Bu holatda fikrlash budjeti max_tokens dan oshishi mumkin, chunki u yordamchining bir muloqot navbatidagi bir necha fikrlash blokini qamrab oladi. Vosita natijalarini ularga tegishli fikrlash kontenti, jumladan uning imzosi bilan o‘zgartirmasdan qaytaring; bu kontentni tahrirlash uni yaroqsiz qiladi. Shunday qilib, tadqiqot yoki nosozlikni aniqlash vazifasi matnli taklifni bajarilgan amal deb hisoblamasdan, taklif etilgan tekshiruv, haqiqiy qaytgan natija va yangilangan tahlilni navbatlashtirishi mumkin.</p><p>Vizual material uchun ishlab chiqaruvchi JPEG, PNG, GIF va WebPni qo‘llab-quvvatlaydi va animatsiyaning faqat birinchi kadridan foydalanadi. Bu nashr foydalanadigan standart tasvir darajasida uzun tomon 1,568 piksel bilan va vizual tokenlar 1,568 bilan cheklangan; kattaroq tasvirlar kichraytiriladi. Ishlab chiqaruvchining tasvir qo‘llanmasi 200K kontekstli modellar uchun bitta API so‘rovida 100 tagacha tasvirni ko‘rsatadi, lekin tasvirga va umumiy so‘rov hajmiga oid shartlarga oldinroq yetib qolish mumkin. Amaliy bo‘lsa, tasvirlarni savoldan oldin joylashtiring, bir necha tasvirni belgilang va mayda matn yoki diagramma belgilarini saqlang. Qo‘llanma aniq tasvirlarni va ko‘rinadigan tafsilotni talqin qilish uchun yetarli atrof kontekstini saqlashni tavsiya qiladi.</p><p>Uzoqroq agent ish jarayonlarini qo‘llab-quvvatlash uchun bu model bilan birga kontekstni tahrirlash va xotira vositasi taqdim etilgan. Bular foydali holatni saqlash yoki eski vosita materialini olib tashlashning ilova qo‘llab-quvvatlaydigan yo‘llari; cheksiz model xotirasi yoki keyingi serverda kontekstni ixchamlashtirish imkoniyati emas. Ko‘p bosqichli vazifada allaqachon qabul qilingan qarorlar, ochiq savol va keyingi qadam uchun zarur dalillarni saqlang. Anthropic tashqi kontentdagi yashirin ko‘rsatmalarga kuchliroq qarshilikni ham tavsiflaydi, shu bilan birga modelga xos tasniflagichlar ba’zan zararsiz materialni ham belgilashi mumkinligini qayd etadi. Foydali natija taqdim etilgan dalillarga bog‘langan, ko‘rib chiqish mumkin bo‘lgan material bo‘lib qoladi; bunda Sonnet 4.5 ning aniq rejim va chegaralari keyingi relizlardan ajratib saqlanadi.</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-sonnet-4-5-20250929-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>$0.006</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Chiqish · Chiqish tokenlari</span> <b>$0.03</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>$0.0075</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish, 1 soat</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. <a href=\"/docs/uz/billing/reserve/\">Summani band qilish va to‘lovni hisoblash tartibi →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">So‘rov namunalari</h3><h4>Ailoot Ultra · OpenAI Chat</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kod variantlari\"><button class=\"cg-tab\" id=\"model-code-1172-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1172-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl</button><button class=\"cg-tab\" id=\"model-code-1172-tab-1\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1172-panel-1\" aria-selected=\"false\" tabindex=\"-1\">Python SDK</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kodni nusxalash\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-1172-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1172-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${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-sonnet-4-5-20250929-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-1172-panel-1\" role=\"tabpanel\" aria-labelledby=\"model-code-1172-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-sonnet-4-5-20250929-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-sonnet-4-5-20250929-thinking&amp;route=Ultra&amp;caller=claude-sonnet-4-5-20250929-thinking&amp;fmt=chat\"><code>claude-sonnet-4-5-20250929-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-sonnet-4-5-20250929-thinking&amp;route=Ultra&amp;caller=claude-sonnet-4-5-20250929-thinking&amp;fmt=chat\"><code>claude-sonnet-4-5-20250929-thinking</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "claude-sonnet-4-5-20250929-thinking",
        "fmt": "chat",
        "http": "POST",
        "path": "/v1/chat/completions",
        "request_model_id": "claude-sonnet-4-5-20250929-thinking",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|chat|/v1/chat/completions|claude-sonnet-4-5-20250929-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-sonnet-4-5-20250929-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": "0.006000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000006",
                "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": "0.03000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.00003",
                "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-sonnet-4-5-20250929-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-sonnet-4-5-20250929-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": 6,
        "input": [
          "text"
        ],
        "label": "OpenAI Chat",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [
          "/chat/completions"
        ],
        "out": 30,
        "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": "0.006000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000006",
                "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": "0.03000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.00003",
                "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-sonnet-4-5-20250929-thinking",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "units": [
          {
            "amount": "0.006000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.000006",
            "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": "0.03000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0.00003",
            "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-sonnet-4-5-20250929-thinking",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "f36af5bbdf83dadd5b048e7ddf4d1e5441a8c16d11a9351df0fe5688eb70adb9",
    "input_html_sha256": "f7f96a49bab3692adb8560d367dd7c15b4b83e88b23a7a6fb78686936b248fae",
    "private_audit_sha256": "4b587fb2abf6a18a1a84a3c6ed331542577768d0f97db7f95e89696b88294113",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/uz/claude-sonnet-4-5-20250929-thinking/",
    "description": "Claude Sonnet 4.5 — Anthropic kompaniyasining dasturiy ta’minot ishlab chiqish, murakkab agentlar, kompyuterdan foydalanish va tahliliy ishlar uchun matn va tasvir modeli. U bevosita javoblarni yoki qo‘lda boshqariladigan kengaytirilgan fikrlashni qo‘llab-quvvatlaydi; hujjatlashtirilgan beta ish jarayonida vosita chaqiruvlari orasida fikrlaydi.",
    "locale": "uz",
    "md_url": "https://ailoot.ai/models/uz/claude-sonnet-4-5-20250929-thinking/index.md",
    "title": "Anthropic: Claude Sonnet 4.5 — Ailoot",
    "url": "https://ailoot.ai/models/uz/claude-sonnet-4-5-20250929-thinking/"
  },
  "rawModel": {
    "about": "Claude Sonnet 4.5 — Anthropic kompaniyasining dasturiy ta’minot ishlab chiqish, murakkab agent vazifalari va kompyuterdan foydalanishga yo‘naltirilgan, fikrlash va matematikada yaxshilanishlarga ega Sonnet nashri. U matn va tasvirlarni qabul qiladi va matn yaratadi. Relizda bir necha bosqich bo‘ylab davomli ishlash, kodni tushunish va bitta alohida funksiya o‘rniga kengroq loyihaga taalluqli o‘zgartirishlar tavsiflangan. Foydali topshiriq kerakli xatti-harakatni, tegishli manba materialini va yetkaziladigan natijani belgilaydi: taklif etilgan patch, dasturiy yechim tushuntirishi, hujjat tahlili yoki tuzilmali javob.\n\nDasturiy ishlar uchun loyiha cheklovlari, tegishli fayllar yoki parchalar, kuzatilgan xato va kutilgan natijaning aniq misolini taqdim eting. O‘zgartiriladigan kodni va taklif etilgan o‘zgartirish shu misolni qanday hal qilishini tushuntirishni so‘rang. Ishlab chiqaruvchi modelni agentlar yaratish va vositalar yordamida dasturlash vazifalarini bajarishga mos deb taqdim etadi. Modelni o‘rab turgan ilova fayllarni o‘qiydi va tahrirlaydi, buyruq yoki tekshiruvni bajaradi va uning haqiqiy chiqishini qaytaradi; model esa shu dalil ustida fikrlaydi. Yakuniy hisobotda taklif etilgan o‘zgartirish bilan bajarilgan tekshiruvni ajrating.\n\nKompyuterdan foydalanish uning vizual va agent imkoniyatlarining alohida qo‘llanishidir. Anthropic relizida ulangan muhit orqali brauzer bilan o‘zaro ishlash, sahifalar bo‘ylab yurish va elektron jadvallar bilan ishlash namoyish etilgan. Vizual topshiriqda ekran tasvirini berish, maqsadni belgilash va ilova qaysi amallarga ruxsat berishini aniqlash mumkin. Ilova tanlangan o‘zaro amalni bajaradi va o‘zgargan ekran yoki boshqa natijani qaytaradi. Shunga o‘xshash, model hujjat, elektron jadval va slaydlar uchun kontent va kodni tayyorlashi, muhit esa tayyor faylni yaratishi mumkin. Matn va tasvirni tushunish modelni o‘zidan tasvir yoki audio yaratadigan modelga aylantirmaydi.\n\nIshlab chiqaruvchining aniq spetsifikatsiyasida 200K tokenli kontekst oynasi va 64K gacha chiqish tokeni ko‘rsatilgan. Uning ishonchli bilimlari chegarasi 2025-yil yanvar bo‘lib, sahifada ko‘rsatilgan keyinroq o‘qitish ma’lumotlari chegarasidan farq qiladi. Uzun kirishda hujjat chegaralari, sahifa belgilari, birliklar va kod identifikatorlarini aniq saqlang, so‘ralgan javob va fikrlash uchun joy qoldiring. Ishlab chiqaruvchi bu nashr uchun kontekstni hisobga olish imkoniyatini ham hujjatlashtiradi, shuning uchun qo‘llab-quvvatlanadigan ish jarayoni suhbat davomida qolgan joyni kuzatadi. Bu davomli vazifani o‘z oynasi ichida boshqarishga yordam beradi; oynani keyingi Sonnet nashrining kattaroq sig‘imi bilan almashtirmaydi.\n\nSonnet 4.5 oddiy javoblarni va qo‘lda boshqariladigan kengaytirilgan fikrlashni qo‘llab-quvvatlaydi. Ikkinchi rejimda budget_tokens ko‘rinadigan javobdan oldingi ichki fikrlash uchun maqsadli hajmni belgilaydi. Hujjatlashtirilgan eng kam qiymat 1,024 token, budjet esa odatda max_tokens dan past bo‘lishi kerak, chunki fikrlash bilan yakuniy javob umumiy yaratish limitidan foydalanadi. Budjet aynan shuncha token sarflash va’dasi emas, maqsadli hajmdir. Bu nashrda keyingi Sonnet modellari uchun tavsiflangan moslashuvchan fikrlash rejimi yoki fikrlash kuchini boshqarish mavjud emas. So‘ralgan tahlil chuqurligini tanlang va foydalanishga yaroqli yakuniy javob uchun yetarli limit qoldiring.\n\nIshlab chiqaruvchining fikrlashni vosita chaqiruvlari bilan navbatlashtiradigan beta imkoniyati Sonnet 4.5 ga bir muloqot navbati ichida vosita chaqiruvlari orasida fikrlash va qaytgan kuzatuvlardan keyingi qadamni tanlash imkonini beradi. Buning uchun qo‘llab-quvvatlanadigan Messages ish jarayonidagi hujjatlashtirilgan beta imkoniyati kerak. Bu holatda fikrlash budjeti max_tokens dan oshishi mumkin, chunki u yordamchining bir muloqot navbatidagi bir necha fikrlash blokini qamrab oladi. Vosita natijalarini ularga tegishli fikrlash kontenti, jumladan uning imzosi bilan o‘zgartirmasdan qaytaring; bu kontentni tahrirlash uni yaroqsiz qiladi. Shunday qilib, tadqiqot yoki nosozlikni aniqlash vazifasi matnli taklifni bajarilgan amal deb hisoblamasdan, taklif etilgan tekshiruv, haqiqiy qaytgan natija va yangilangan tahlilni navbatlashtirishi mumkin.\n\nVizual material uchun ishlab chiqaruvchi JPEG, PNG, GIF va WebPni qo‘llab-quvvatlaydi va animatsiyaning faqat birinchi kadridan foydalanadi. Bu nashr foydalanadigan standart tasvir darajasida uzun tomon 1,568 piksel bilan va vizual tokenlar 1,568 bilan cheklangan; kattaroq tasvirlar kichraytiriladi. Ishlab chiqaruvchining tasvir qo‘llanmasi 200K kontekstli modellar uchun bitta API so‘rovida 100 tagacha tasvirni ko‘rsatadi, lekin tasvirga va umumiy so‘rov hajmiga oid shartlarga oldinroq yetib qolish mumkin. Amaliy bo‘lsa, tasvirlarni savoldan oldin joylashtiring, bir necha tasvirni belgilang va mayda matn yoki diagramma belgilarini saqlang. Qo‘llanma aniq tasvirlarni va ko‘rinadigan tafsilotni talqin qilish uchun yetarli atrof kontekstini saqlashni tavsiya qiladi.\n\nUzoqroq agent ish jarayonlarini qo‘llab-quvvatlash uchun bu model bilan birga kontekstni tahrirlash va xotira vositasi taqdim etilgan. Bular foydali holatni saqlash yoki eski vosita materialini olib tashlashning ilova qo‘llab-quvvatlaydigan yo‘llari; cheksiz model xotirasi yoki keyingi serverda kontekstni ixchamlashtirish imkoniyati emas. Ko‘p bosqichli vazifada allaqachon qabul qilingan qarorlar, ochiq savol va keyingi qadam uchun zarur dalillarni saqlang. Anthropic tashqi kontentdagi yashirin ko‘rsatmalarga kuchliroq qarshilikni ham tavsiflaydi, shu bilan birga modelga xos tasniflagichlar ba’zan zararsiz materialni ham belgilashi mumkinligini qayd etadi. Foydali natija taqdim etilgan dalillarga bog‘langan, ko‘rib chiqish mumkin bo‘lgan material bo‘lib qoladi; bunda Sonnet 4.5 ning aniq rejim va chegaralari keyingi relizlardan ajratib saqlanadi.",
    "alias_of": null,
    "aliases": [],
    "author": "Anthropic",
    "available": null,
    "canonical_model": "claude-sonnet-4-5-20250929-thinking",
    "capabilities": {
      "context_length": 1000000,
      "manufacturer_input": [
        "text",
        "image",
        "file"
      ],
      "manufacturer_output": [
        "text"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.006000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.000006",
            "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": "0.03000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0.00003",
            "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,
    "entity_type": "model",
    "formats": [
      "chat"
    ],
    "id": "claude-sonnet-4-5-20250929-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-sonnet-4-5-20250929-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": "0.006000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000006",
                "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": "0.03000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.00003",
                "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-sonnet-4-5-20250929-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-sonnet-4-5-20250929-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": 6,
        "input": [
          "text"
        ],
        "label": "OpenAI Chat",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [
          "/chat/completions"
        ],
        "out": 30,
        "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": "0.006000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
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