{
  "aboutHtml": "<p>Mistral Large 3 2512 — umumiy suhbat, vizual tushunish va korporativ ish uchun ko‘rsatmalarni bajarishga moslashtirilgan Mistral AI nashri. Uning siyrak ekspertlar aralashmasi arxitekturasi jami 675 milliard parametrga ega, ulardan 41 milliardi faol; kontekst oynasi 256k. Matn va tasvirlar bir vazifaga hissa qo‘shishi mumkin, javob esa matn, kod yoki tuzilmali natija bo‘ladi.</p><p>Imkoniyatlar va kirishni tayyorlash</p><p>Model til komponentini vizual kodlagich bilan birlashtiradi. Tasvirga aniq rol bering: o‘qiladigan sahifa, talqin qilinadigan diagramma yoki tushuntiriladigan ekran. Gavjum ekran uchun tegishli boshqaruvlarni o‘z ichiga olgan qirqimni bering va ularni tushunishga zarur atrofdagi belgilarni saqlang. Mistral kvadratga yaqin tasvir shakllarini tavsiya qiladi; juda tor yoki keng manbani muhim tafsilotlar o‘qilmaydigan tasmaga kichraytirish o‘rniga foydali hududlarga ajrating.</p><p>Ishlab chiqaruvchi ingliz, fransuz, ispan, nemis, italyan, portugal, niderland, xitoy, yapon, koreys va arab tillarini ham o‘z ichiga olgan o‘nlab tillarda suhbatni sanaydi. Natija tili, mo‘ljallangan o‘quvchi va saqlanadigan atamalarni ayting. Yordam maqolasi uchun mahsulot nomlari o‘zgarmagan mahalliylashtirilgan izohni va nashrdan oldin aniqlashtirilishi kerak bo‘lgan noaniq tarjimalarning qisqa ro‘yxatini so‘rang.</p><p>Uzun hujjatlar va korporativ bilim</p><p>Bog‘liq materiallarni birlashtirish uchun kontekstdan foydalaning: siyosat matni, spetsifikatsiya, mavjud qarorlar va javob talab qiladigan savol. Har bir manba va uning tahririni belgilang. Foydali so‘rov: “Ushbu uchta ishga kirish siyosatini taqqoslang. Umumiy talablar, ziddiyatlar va javobsiz savollar jadvalini har bir topilmaning manba bo‘limi bilan qaytaring.” Hosil bo‘lgan material mavzuning umumiy xulosasi emas, berilgan parchalarga asoslangan taqqoslashdir.</p><p>Hujjat savoli uchun kerakli tafsilot darajasini ko‘rsating va xulosa yonida uni asoslaydigan parchani so‘rang. Mistralning Document QnA jarayoni avval OCR yordamida matn va hujjat tuzilmasini ajratadi, keyin til modelidan shu materialni talqin qilish uchun foydalanadi. Ajratilgan matnni tayyorlashda sahifa raqamlari va sarlavhalarni saqlang, shunda javob asl manbaga qayta ishora qila oladi. Hujjat URL manzili, ajratilgan matn va tasvir dalillarining tayyorlash talablari turlicha; ishlatayotgan ilova qo‘llaydigan kirish shaklini tanlang.</p><p>Dasturlash va kundalik yordam</p><p>Mistral Large 3ni kundalik suhbat bilan birga dasturlash yordamchisi sifatida ham tavsiya qiladi. Tegishli funksiyalar, kutilgan xatti-harakat va kuzatilgan xatoni bering. Masalan: “Kirish yangi qatorsiz tugaganda ushbu parser oxirgi maydonni tushirib qoldiradi. Xato yuz beradigan tarmoqni tushuntiring, eng kichik o‘zgarishni taklif qiling va tuzatilgan funksiyani uchta namunaviy kirish/chiqish misoli bilan qaytaring.” Foydali natija — haqiqiy kodga bog‘langan taklif etilgan o‘zgarish va dasturchi ishga tushira oladigan holatlar to‘plami.</p><p>Biznes qoralamasi uchun faktlar va kerakli materialni birga bering. Yig‘ilish qaydlarini qaror xatiga aylantirish so‘rovi qaror, muqobil variantlar, ochiq taxminlar va keyingi harakatni nomlashi kerak. Modeldan manba faktlarini tavsiyalardan alohida saqlash va yetishmayotgan ma’lumotni tegishli bo‘limda belgilashni so‘rang. Bu natijani farqlanmagan hikoyaga qaraganda osonroq tahrirlashga imkon beradi.</p><p>Vositalar va tuzilmali natijalar</p><p>Bevosita funksiya chaqirish modelga berilgan funksiyani tanlash va uning argumentlarini tayyorlash imkonini beradi. Ilova ushbu funksiyani ishga tushirib, natijani qaytaradi; model keyin qaytgan ma’lumotdan javobda foydalanadi. Vositalarni aniq vazifali saqlang va faqat topshiriqqa keraklilarini taqdim eting. Ombor qoldig‘ini tekshiruvchi yordamchi mahsulot havolasini olishi, qoldiq qidiruvini so‘rashi va qaytgan miqdor hamda omborni tushuntirishi mumkin. So‘rovni bajarishdan oldin tanlangan funksiya va argumentlarni tekshiring, vosita javobini esa yakuniy javob bilan birga saqlang.</p><p>Ma’lumot ajratish uchun maydonlar, turlar va yetishmayotgan qiymatlarga munosabatni belgilang. Mistral JSON rejimi va maxsus tuzilmali natijani hujjatlashtiradi; JSON rejimi JSON qaytarish haqida aniq ko‘rsatmani talab qiladi, maxsus sxema esa shaklni kuchliroq boshqaradi. Hisob-faktura xulosasi yetkazib beruvchi, hisob-faktura raqami, to‘lov muddati, valyuta va satr elementlarini so‘rashi, yetishmayotgan qiymatlar esa izchil ifodalanishi mumkin. Javob so‘ralgan tuzilmaga mos bo‘lsa ham, ajratilgan qiymatlarni hujjat bilan solishtirib tekshiring.</p><p>Sozlamalar va nashrlar farqi</p><p>Tizim ko‘rsatmalarida rol, vazifa va vosita qoidalarini belgilang. Mistral ushbu modelning saqlangan holatidan ishchi tizimda va kundalik foydalanish uchun temperature 0.1 dan past bo‘lishini tavsiya qiladi; ijodiy vazifalar uchun yuqoriroq qiymatlarni sinab ko‘rish mumkin. Turli g‘oyalar so‘rovini takrorlanadigan ajratma so‘rovidan farqlang: birinchisiga muqobillar uchun joy, ikkinchisiga esa aniq maydonlar va manba cheklovlarini bering.</p><p>Ushbu ko‘rsatma nashri Large 3ning bazaviy saqlangan holatidan va maxsus mulohaza modellaridan alohida. Ishlab chiqaruvchi qat’iy mulohaza va ixtisoslashgan vizual ishni aynan shu vazifalar uchun yaratilgan model afzal bo‘lishi mumkin bo‘lgan yo‘nalishlar deb ko‘rsatadi. Qiyin hisoblash uchun taxminlar va birliklarni bering, oraliq tekshiruvlarni so‘rang va natijani tekshirish uchun mavjud hisoblash vositasidan foydalaning. Zich vizual dalillar uchun o‘qiladigan hududlarni tayyorlang va javobni hisobotga kiritishdan oldin manba bilan solishtiring.</p>",
  "aboutText": "Mistral Large 3 2512 — umumiy suhbat, vizual tushunish va korporativ ish uchun ko‘rsatmalarni bajarishga moslashtirilgan Mistral AI nashri. Uning siyrak ekspertlar aralashmasi arxitekturasi jami 675 milliard parametrga ega, ulardan 41 milliardi faol; kontekst oynasi 256k. Matn va tasvirlar bir vazifaga hissa qo‘shishi mumkin, javob esa matn, kod yoki tuzilmali natija bo‘ladi.\n\nImkoniyatlar va kirishni tayyorlash\n\nModel til komponentini vizual kodlagich bilan birlashtiradi. Tasvirga aniq rol bering: o‘qiladigan sahifa, talqin qilinadigan diagramma yoki tushuntiriladigan ekran. Gavjum ekran uchun tegishli boshqaruvlarni o‘z ichiga olgan qirqimni bering va ularni tushunishga zarur atrofdagi belgilarni saqlang. Mistral kvadratga yaqin tasvir shakllarini tavsiya qiladi; juda tor yoki keng manbani muhim tafsilotlar o‘qilmaydigan tasmaga kichraytirish o‘rniga foydali hududlarga ajrating.\n\nIshlab chiqaruvchi ingliz, fransuz, ispan, nemis, italyan, portugal, niderland, xitoy, yapon, koreys va arab tillarini ham o‘z ichiga olgan o‘nlab tillarda suhbatni sanaydi. Natija tili, mo‘ljallangan o‘quvchi va saqlanadigan atamalarni ayting. Yordam maqolasi uchun mahsulot nomlari o‘zgarmagan mahalliylashtirilgan izohni va nashrdan oldin aniqlashtirilishi kerak bo‘lgan noaniq tarjimalarning qisqa ro‘yxatini so‘rang.\n\nUzun hujjatlar va korporativ bilim\n\nBog‘liq materiallarni birlashtirish uchun kontekstdan foydalaning: siyosat matni, spetsifikatsiya, mavjud qarorlar va javob talab qiladigan savol. Har bir manba va uning tahririni belgilang. Foydali so‘rov: “Ushbu uchta ishga kirish siyosatini taqqoslang. Umumiy talablar, ziddiyatlar va javobsiz savollar jadvalini har bir topilmaning manba bo‘limi bilan qaytaring.” Hosil bo‘lgan material mavzuning umumiy xulosasi emas, berilgan parchalarga asoslangan taqqoslashdir.\n\nHujjat savoli uchun kerakli tafsilot darajasini ko‘rsating va xulosa yonida uni asoslaydigan parchani so‘rang. Mistralning Document QnA jarayoni avval OCR yordamida matn va hujjat tuzilmasini ajratadi, keyin til modelidan shu materialni talqin qilish uchun foydalanadi. Ajratilgan matnni tayyorlashda sahifa raqamlari va sarlavhalarni saqlang, shunda javob asl manbaga qayta ishora qila oladi. Hujjat URL manzili, ajratilgan matn va tasvir dalillarining tayyorlash talablari turlicha; ishlatayotgan ilova qo‘llaydigan kirish shaklini tanlang.\n\nDasturlash va kundalik yordam\n\nMistral Large 3ni kundalik suhbat bilan birga dasturlash yordamchisi sifatida ham tavsiya qiladi. Tegishli funksiyalar, kutilgan xatti-harakat va kuzatilgan xatoni bering. Masalan: “Kirish yangi qatorsiz tugaganda ushbu parser oxirgi maydonni tushirib qoldiradi. Xato yuz beradigan tarmoqni tushuntiring, eng kichik o‘zgarishni taklif qiling va tuzatilgan funksiyani uchta namunaviy kirish/chiqish misoli bilan qaytaring.” Foydali natija — haqiqiy kodga bog‘langan taklif etilgan o‘zgarish va dasturchi ishga tushira oladigan holatlar to‘plami.\n\nBiznes qoralamasi uchun faktlar va kerakli materialni birga bering. Yig‘ilish qaydlarini qaror xatiga aylantirish so‘rovi qaror, muqobil variantlar, ochiq taxminlar va keyingi harakatni nomlashi kerak. Modeldan manba faktlarini tavsiyalardan alohida saqlash va yetishmayotgan ma’lumotni tegishli bo‘limda belgilashni so‘rang. Bu natijani farqlanmagan hikoyaga qaraganda osonroq tahrirlashga imkon beradi.\n\nVositalar va tuzilmali natijalar\n\nBevosita funksiya chaqirish modelga berilgan funksiyani tanlash va uning argumentlarini tayyorlash imkonini beradi. Ilova ushbu funksiyani ishga tushirib, natijani qaytaradi; model keyin qaytgan ma’lumotdan javobda foydalanadi. Vositalarni aniq vazifali saqlang va faqat topshiriqqa keraklilarini taqdim eting. Ombor qoldig‘ini tekshiruvchi yordamchi mahsulot havolasini olishi, qoldiq qidiruvini so‘rashi va qaytgan miqdor hamda omborni tushuntirishi mumkin. So‘rovni bajarishdan oldin tanlangan funksiya va argumentlarni tekshiring, vosita javobini esa yakuniy javob bilan birga saqlang.\n\nMa’lumot ajratish uchun maydonlar, turlar va yetishmayotgan qiymatlarga munosabatni belgilang. Mistral JSON rejimi va maxsus tuzilmali natijani hujjatlashtiradi; JSON rejimi JSON qaytarish haqida aniq ko‘rsatmani talab qiladi, maxsus sxema esa shaklni kuchliroq boshqaradi. Hisob-faktura xulosasi yetkazib beruvchi, hisob-faktura raqami, to‘lov muddati, valyuta va satr elementlarini so‘rashi, yetishmayotgan qiymatlar esa izchil ifodalanishi mumkin. Javob so‘ralgan tuzilmaga mos bo‘lsa ham, ajratilgan qiymatlarni hujjat bilan solishtirib tekshiring.\n\nSozlamalar va nashrlar farqi\n\nTizim ko‘rsatmalarida rol, vazifa va vosita qoidalarini belgilang. Mistral ushbu modelning saqlangan holatidan ishchi tizimda va kundalik foydalanish uchun temperature 0.1 dan past bo‘lishini tavsiya qiladi; ijodiy vazifalar uchun yuqoriroq qiymatlarni sinab ko‘rish mumkin. Turli g‘oyalar so‘rovini takrorlanadigan ajratma so‘rovidan farqlang: birinchisiga muqobillar uchun joy, ikkinchisiga esa aniq maydonlar va manba cheklovlarini bering.\n\nUshbu ko‘rsatma nashri Large 3ning bazaviy saqlangan holatidan va maxsus mulohaza modellaridan alohida. Ishlab chiqaruvchi qat’iy mulohaza va ixtisoslashgan vizual ishni aynan shu vazifalar uchun yaratilgan model afzal bo‘lishi mumkin bo‘lgan yo‘nalishlar deb ko‘rsatadi. Qiyin hisoblash uchun taxminlar va birliklarni bering, oraliq tekshiruvlarni so‘rang va natijani tekshirish uchun mavjud hisoblash vositasidan foydalaning. Zich vizual dalillar uchun o‘qiladigan hududlarni tayyorlang va javobni hisobotga kiritishdan oldin manba bilan solishtiring.",
  "editorialOverlay": {
    "copy_fields": null,
    "copy_sha256": null,
    "copy_source": null,
    "html_sha256": "a3188d2b60e2f11426979a027fbedfff880586128a4cdf9b0b55235f752e819f",
    "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06",
    "raw_model_unchanged": true,
    "schema": "ailoot-native-model-editorial-v1"
  },
  "locale": "uz",
  "methods": [
    {
      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">Mistral: Mistral Large 3 2512 (batch)</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Yopish\">×</button></div><div class=\"idline\"><span>Mistral /</span><code>mistralai/mistral-large-2512:batch</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|batches|/v1/batches|mistralai%2Fmistral-large-2512%3Abatch\">Paketli vazifalar</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\">Mistral Large 3 2512 — uzun hujjatlar, korporativ bilim, dasturlash va vositalar yordamidagi ish uchun ko‘p tilli matn va tasvir modeli. Uning 256k konteksti, bevosita funksiya chaqirish va tuzilmali natijasi berilgan dalillarni javoblar, yozuvlar va taklif etilgan harakatlarga aylantirishga yordam beradi.</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>Mistral Large 3 2512 — umumiy suhbat, vizual tushunish va korporativ ish uchun ko‘rsatmalarni bajarishga moslashtirilgan Mistral AI nashri. Uning siyrak ekspertlar aralashmasi arxitekturasi jami 675 milliard parametrga ega, ulardan 41 milliardi faol; kontekst oynasi 256k. Matn va tasvirlar bir vazifaga hissa qo‘shishi mumkin, javob esa matn, kod yoki tuzilmali natija bo‘ladi.</p><p>Imkoniyatlar va kirishni tayyorlash</p><p>Model til komponentini vizual kodlagich bilan birlashtiradi. Tasvirga aniq rol bering: o‘qiladigan sahifa, talqin qilinadigan diagramma yoki tushuntiriladigan ekran. Gavjum ekran uchun tegishli boshqaruvlarni o‘z ichiga olgan qirqimni bering va ularni tushunishga zarur atrofdagi belgilarni saqlang. Mistral kvadratga yaqin tasvir shakllarini tavsiya qiladi; juda tor yoki keng manbani muhim tafsilotlar o‘qilmaydigan tasmaga kichraytirish o‘rniga foydali hududlarga ajrating.</p><p>Ishlab chiqaruvchi ingliz, fransuz, ispan, nemis, italyan, portugal, niderland, xitoy, yapon, koreys va arab tillarini ham o‘z ichiga olgan o‘nlab tillarda suhbatni sanaydi. Natija tili, mo‘ljallangan o‘quvchi va saqlanadigan atamalarni ayting. Yordam maqolasi uchun mahsulot nomlari o‘zgarmagan mahalliylashtirilgan izohni va nashrdan oldin aniqlashtirilishi kerak bo‘lgan noaniq tarjimalarning qisqa ro‘yxatini so‘rang.</p><p>Uzun hujjatlar va korporativ bilim</p><p>Bog‘liq materiallarni birlashtirish uchun kontekstdan foydalaning: siyosat matni, spetsifikatsiya, mavjud qarorlar va javob talab qiladigan savol. Har bir manba va uning tahririni belgilang. Foydali so‘rov: “Ushbu uchta ishga kirish siyosatini taqqoslang. Umumiy talablar, ziddiyatlar va javobsiz savollar jadvalini har bir topilmaning manba bo‘limi bilan qaytaring.” Hosil bo‘lgan material mavzuning umumiy xulosasi emas, berilgan parchalarga asoslangan taqqoslashdir.</p><p>Hujjat savoli uchun kerakli tafsilot darajasini ko‘rsating va xulosa yonida uni asoslaydigan parchani so‘rang. Mistralning Document QnA jarayoni avval OCR yordamida matn va hujjat tuzilmasini ajratadi, keyin til modelidan shu materialni talqin qilish uchun foydalanadi. Ajratilgan matnni tayyorlashda sahifa raqamlari va sarlavhalarni saqlang, shunda javob asl manbaga qayta ishora qila oladi. Hujjat URL manzili, ajratilgan matn va tasvir dalillarining tayyorlash talablari turlicha; ishlatayotgan ilova qo‘llaydigan kirish shaklini tanlang.</p><p>Dasturlash va kundalik yordam</p><p>Mistral Large 3ni kundalik suhbat bilan birga dasturlash yordamchisi sifatida ham tavsiya qiladi. Tegishli funksiyalar, kutilgan xatti-harakat va kuzatilgan xatoni bering. Masalan: “Kirish yangi qatorsiz tugaganda ushbu parser oxirgi maydonni tushirib qoldiradi. Xato yuz beradigan tarmoqni tushuntiring, eng kichik o‘zgarishni taklif qiling va tuzatilgan funksiyani uchta namunaviy kirish/chiqish misoli bilan qaytaring.” Foydali natija — haqiqiy kodga bog‘langan taklif etilgan o‘zgarish va dasturchi ishga tushira oladigan holatlar to‘plami.</p><p>Biznes qoralamasi uchun faktlar va kerakli materialni birga bering. Yig‘ilish qaydlarini qaror xatiga aylantirish so‘rovi qaror, muqobil variantlar, ochiq taxminlar va keyingi harakatni nomlashi kerak. Modeldan manba faktlarini tavsiyalardan alohida saqlash va yetishmayotgan ma’lumotni tegishli bo‘limda belgilashni so‘rang. Bu natijani farqlanmagan hikoyaga qaraganda osonroq tahrirlashga imkon beradi.</p><p>Vositalar va tuzilmali natijalar</p><p>Bevosita funksiya chaqirish modelga berilgan funksiyani tanlash va uning argumentlarini tayyorlash imkonini beradi. Ilova ushbu funksiyani ishga tushirib, natijani qaytaradi; model keyin qaytgan ma’lumotdan javobda foydalanadi. Vositalarni aniq vazifali saqlang va faqat topshiriqqa keraklilarini taqdim eting. Ombor qoldig‘ini tekshiruvchi yordamchi mahsulot havolasini olishi, qoldiq qidiruvini so‘rashi va qaytgan miqdor hamda omborni tushuntirishi mumkin. So‘rovni bajarishdan oldin tanlangan funksiya va argumentlarni tekshiring, vosita javobini esa yakuniy javob bilan birga saqlang.</p><p>Ma’lumot ajratish uchun maydonlar, turlar va yetishmayotgan qiymatlarga munosabatni belgilang. Mistral JSON rejimi va maxsus tuzilmali natijani hujjatlashtiradi; JSON rejimi JSON qaytarish haqida aniq ko‘rsatmani talab qiladi, maxsus sxema esa shaklni kuchliroq boshqaradi. Hisob-faktura xulosasi yetkazib beruvchi, hisob-faktura raqami, to‘lov muddati, valyuta va satr elementlarini so‘rashi, yetishmayotgan qiymatlar esa izchil ifodalanishi mumkin. Javob so‘ralgan tuzilmaga mos bo‘lsa ham, ajratilgan qiymatlarni hujjat bilan solishtirib tekshiring.</p><p>Sozlamalar va nashrlar farqi</p><p>Tizim ko‘rsatmalarida rol, vazifa va vosita qoidalarini belgilang. Mistral ushbu modelning saqlangan holatidan ishchi tizimda va kundalik foydalanish uchun temperature 0.1 dan past bo‘lishini tavsiya qiladi; ijodiy vazifalar uchun yuqoriroq qiymatlarni sinab ko‘rish mumkin. Turli g‘oyalar so‘rovini takrorlanadigan ajratma so‘rovidan farqlang: birinchisiga muqobillar uchun joy, ikkinchisiga esa aniq maydonlar va manba cheklovlarini bering.</p><p>Ushbu ko‘rsatma nashri Large 3ning bazaviy saqlangan holatidan va maxsus mulohaza modellaridan alohida. Ishlab chiqaruvchi qat’iy mulohaza va ixtisoslashgan vizual ishni aynan shu vazifalar uchun yaratilgan model afzal bo‘lishi mumkin bo‘lgan yo‘nalishlar deb ko‘rsatadi. Qiyin hisoblash uchun taxminlar va birliklarni bering, oraliq tekshiruvlarni so‘rang va natijani tekshirish uchun mavjud hisoblash vositasidan foydalaning. Zich vizual dalillar uchun o‘qiladigan hududlarni tayyorlang va javobni hisobotga kiritishdan oldin manba bilan solishtiring.</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 · Paketli ishlov berish</b> <code>POST /v1/batches</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>Javobga bevosita kiritilgan results[].response.body JSON ma’lumotlari</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\">endpoint</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>/v1/chat/completions</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\">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>mistralai/mistral-large-2512:batch</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\">requests</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>batch_item[]</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=\"source_interface\"><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">requests[].custom_id</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></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\">requests[].body.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></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\">completion_window</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>24h</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\">provider</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>object|null</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=\"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\">requests[].body.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>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>mistralai/mistral-large-2512:batch, mistralai/mistral-large-2512</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\">provider.only</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>mistral</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\">provider.allow_fallbacks</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>boolean|null</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>false, null</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr></tbody></table></div><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>endpoint, model, requests</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>representation</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>So‘rovga bevosita kiritilgan requests[] massivi; har bir elementda custom_id va body mavjud.</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>request_endpoint_profile</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>/v1/chat/completions</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>Chaqiruvchi haqiqiy UTF-8 JSONL ma’lumotlarini mahalliy tarzda requests[] ichiga o‘qishi mumkin. Yuklash maqsadi, input_file_id yoki faylga havola ishlatilmaydi. Mijoz materiali yo‘q yoki bo‘sh bo‘lsa, tayyorlash POST dan oldin to‘xtaydi.</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>serialization_order</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>endpoint, model, provider (agar berilgan bo‘lsa), completion_window (agar berilgan bo‘lsa), requests eng oxirida</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>provider.only, provider.allow_fallbacks, completion_window</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>schema_scope</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>Hujjatlarda ko‘rsatilgan Batch tuzilmasiga bevosita kiritilgan matnli Chat Completions so‘rovlarining tanalari.</td></tr></tbody></table></div><p>Hayot sikli: <code>asynchronous</code></p><p class=\"note-s\"><code>GET /v1/batches/{operation_id}</code> · Dastlabki yaratish javobida amalda qaytarilgan response.id; aynan o‘sha foydalanuvchi/kalit/guruh</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><dt>Ochiq ko‘rsatilgan keshlash narxlari</dt><dd>Yoqilmagan <span class=\"note-s\">Ochiq ko‘rsatilgan keshlash so‘ralganda</span></dd></dl></div><div data-declared-tariff-pricing><h4>Ailoot tariflari</h4><h4>Sozlamalar bo‘yicha narxlar</h4><p class=\"note-s\">Har bir to‘lovni ko‘rsatilgan shartlarga moslang. Har bir muqobil sozlamalar to‘plami uchun bitta tarifdan foydalaning.</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Sozlama</th><th>Tariflar jadvali</th><th>Kontekst tokenlari soni bundan ko‘p</th><th>Kontekst tokenlari soni bundan oshmaydi, chegara kiradi</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=\"Kontekst tokenlari soni bundan ko‘p\"><span class=\"card-cell-label\">Kontekst tokenlari soni bundan ko‘p</span>—</td><td data-cell-label=\"Kontekst tokenlari soni bundan oshmaydi, chegara kiradi\"><span class=\"card-cell-label\">Kontekst tokenlari soni bundan oshmaydi, chegara kiradi</span>Yuqori chegara yo‘q</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Kirish · Kirish tokenlari</span> <b>$0.0005</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Chiqish · Chiqish tokenlari</span> <b>$0.0015</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshdan o‘qish</span> <b>$0.00005</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish</span> <b>—</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><tr><th data-cell-label=\"Sozlama\" scope=\"row\"><span class=\"card-cell-label\">Sozlama</span>So‘rov uzunligi bo‘yicha 1-daraja</th><td data-cell-label=\"Tariflar jadvali\"><span class=\"card-cell-label\">Tariflar jadvali</span>—</td><td data-cell-label=\"Kontekst tokenlari soni bundan ko‘p\"><span class=\"card-cell-label\">Kontekst tokenlari soni bundan ko‘p</span>0</td><td data-cell-label=\"Kontekst tokenlari soni bundan oshmaydi, chegara kiradi\"><span class=\"card-cell-label\">Kontekst tokenlari soni bundan oshmaydi, chegara kiradi</span>Yuqori chegara yo‘q</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Kirish · Kirish tokenlari</span> <b>$0.0005</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Chiqish · Chiqish tokenlari</span> <b>$0.0015</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshdan o‘qish</span> <b>$0.00005</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish</span> <b>—</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 · Paketli ishlov berish</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-1910-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1910-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · Saqlangan sinov namunasi</button><button class=\"cg-tab\" id=\"model-code-1910-tab-1\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1910-panel-1\" aria-selected=\"false\" tabindex=\"-1\">Python HTTP · Mijozning haqiqiy JSONL ma’lumotlari</button><button class=\"cg-tab\" id=\"model-code-1910-tab-2\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1910-panel-2\" aria-selected=\"false\" tabindex=\"-1\">Python · Har bir yakunlangan natijani saqlang</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kodni nusxalash\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-1910-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1910-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\nfrom pathlib import Path\nbody=json.loads(&#39;{&quot;endpoint&quot;:&quot;/v1/chat/completions&quot;,&quot;model&quot;:&quot;mistralai/mistral-large-2512:batch&quot;,&quot;requests&quot;:[{&quot;custom_id&quot;:&quot;req-0001&quot;,&quot;body&quot;:{&quot;messages&quot;:[{&quot;role&quot;:&quot;user&quot;,&quot;content&quot;:&quot;Hello!&quot;}],&quot;max_tokens&quot;:16}}]}&#39;)\nPath(&quot;batch-request.json&quot;).write_text(json.dumps(body,ensure_ascii=False),encoding=&quot;utf-8&quot;)\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/batches \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @batch-request.json -D batch-response-headers.txt -o batch-create-response.json\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-1910-panel-1\" role=\"tabpanel\" aria-labelledby=\"model-code-1910-tab-1\" hidden><pre data-lang=\"python\"><code>import json, os\nfrom pathlib import Path\nfrom urllib.request import Request, urlopen\n\ndef prepare_requests(customer_path):\n    path = Path(customer_path)\n    if not path.is_file(): raise ValueError(&quot;Customer JSONL file is missing&quot;)\n    items = [json.loads(line) for line in path.read_text(encoding=&quot;utf-8&quot;).splitlines() if line.strip()]\n    if not items: raise ValueError(&quot;Customer JSONL contains no requests&quot;)\n    ids = set()\n    for item in items:\n        if set(item) != {&quot;custom_id&quot;, &quot;body&quot;}: raise ValueError(&quot;Each item needs custom_id and body&quot;)\n        cid = item[&quot;custom_id&quot;]\n        if not isinstance(cid, str) or not cid.strip() or cid in ids: raise ValueError(&quot;custom_id must be nonempty and unique&quot;)\n        ids.add(cid)\n        if not isinstance(item[&quot;body&quot;], dict) or not item[&quot;body&quot;].get(&quot;messages&quot;): raise ValueError(&quot;Supply actual text messages&quot;)\n        supplied_model = item[&quot;body&quot;].get(&quot;model&quot;)\n        if supplied_model is not None and supplied_model not in [&#39;mistralai/mistral-large-2512:batch&#39;, &#39;mistralai/mistral-large-2512&#39;]: raise ValueError(&quot;body.model must be an exact documented caller or wire ID&quot;)\n    return {&quot;endpoint&quot;:&quot;/v1/chat/completions&quot;, &quot;model&quot;:&quot;mistralai/mistral-large-2512:batch&quot;, &quot;requests&quot;:items}\n\nif __name__ == &quot;__main__&quot;:\n    material = os.environ.get(&quot;AILOOT_BATCH_REQUESTS_JSONL&quot;, &quot;&quot;)\n    if not material: raise SystemExit(&quot;Set AILOOT_BATCH_REQUESTS_JSONL to your actual customer file&quot;)\n    body = prepare_requests(material)\n    key = os.environ.get(&quot;AILOOT_API_KEY&quot;, &quot;&quot;)\n    if not key: raise SystemExit(&quot;Set AILOOT_API_KEY&quot;)\n    request = Request(&quot;https://api.ailoot.ai/v1/batches&quot;, data=json.dumps(body, ensure_ascii=False).encode(&quot;utf-8&quot;), headers={&quot;Authorization&quot;:&quot;Bearer &quot; + key, &quot;Content-Type&quot;:&quot;application/json&quot;}, method=&quot;POST&quot;)\n    with urlopen(request) as response:\n        raw = response.read()\n        Path(&quot;batch-create-response.json&quot;).write_bytes(raw)\n        print(raw.decode(&quot;utf-8&quot;))\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-1910-panel-2\" role=\"tabpanel\" aria-labelledby=\"model-code-1910-tab-2\" hidden><pre data-lang=\"python\"><code>import json\nfrom pathlib import Path\nraw = Path(&quot;batch-status-response.json&quot;).read_bytes()\nresponse = json.loads(raw)\nif response.get(&quot;status&quot;) != &quot;completed&quot;:\n    raise SystemExit(&quot;Keep the original operation; read its status without resubmitting&quot;)\nresults = response.get(&quot;results&quot;)\nif not isinstance(results, list) or not results:\n    raise SystemExit(&quot;Preserve the original response; completed results are missing&quot;)\nPath(&quot;batch-results.jsonl&quot;).write_text(&quot;&quot;.join(json.dumps(item, ensure_ascii=False) + &quot;\\n&quot; for item in results), encoding=&quot;utf-8&quot;)\n# Preserve batch-status-response.json with aggregate usage and every result/error.\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 · Paketli ishlov berish</h4><p class=\"note-s\">Javobga bevosita kiritilgan results[].response.body JSON ma’lumotlari</p><ul class=\"card-result-paths\"><li><code>GET /v1/batches/{operation_id}</code></li></ul><h5>Vazifa holatini tekshirish</h5><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-1911-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1911-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · asl operatsiya holati</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-1911-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1911-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nBATCH_OPERATION_ID=&quot;$(python3 - &lt;&lt;&#39;PY_ID&#39;\nimport json\nfrom pathlib import Path\nfrom urllib.parse import quote\nresponse = json.loads(Path(&quot;batch-create-response.json&quot;).read_text(encoding=&quot;utf-8&quot;))\noperation = response.get(&quot;id&quot;)\nif not isinstance(operation, str) or not operation: raise SystemExit(&quot;No actual original operation ID; preserve the response and do not resubmit&quot;)\nprint(quote(operation, safe=&quot;&quot;))\nPY_ID\n)&quot;\ncurl --fail-with-body --silent --show-error &quot;https://api.ailoot.ai/v1/batches/$BATCH_OPERATION_ID&quot; \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -o batch-status-response.json\n</code></pre></div></div></div><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\">Dastlabki holat haqidagi to‘liq JSON ni, har bir natija/custom_id ni va to‘liq javob yoki xato tanasini saqlang. Tugallangan results[] ni hech narsani filtrlab tashlamasdan JSONL sifatida saqlang.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Asl javobni tekshirish kerak bo‘lsa</h5><p class=\"note-s\">Dastlabki operatsiya ID sini saqlang. 503 result_pending_check javobida X-Should-Retry:false mavjud; natijasi noma’lum bo‘lgan dastlabki paketni hech qachon qayta yubormang.</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\">results[].custom_id</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\">results[].response.body.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\">results[].error</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>object|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|null</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">id</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\">model</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\">endpoint</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\">status</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\">request_counts</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>object</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">results[].id</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\">results[].response.status_code</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\">results[].response.request_id</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>string</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>Hujjatlarda ko‘rsatilgan, so‘rovga bevosita kiritiladigan tuzilma yaroqsiz, kalitlar takrorlangan, element identifikatori noto‘g‘ri yoki so‘rov modelning sozlangan imkoniyatlariga zid.</td><td data-cell-label=\"Keyingi qadam\"><span class=\"card-cell-label\">Keyingi qadam</span>Har qanday yangi yuborishdan oldin ko‘rsatilgan maydonlarni tuzating.</td></tr><tr><th data-cell-label=\"Javob\" scope=\"row\"><span class=\"card-cell-label\">Javob</span>401 · <code>authentication_error</code></th><td data-cell-label=\"Shart\"><span class=\"card-cell-label\">Shart</span>API kaliti yaroqsiz.</td><td data-cell-label=\"Keyingi qadam\"><span class=\"card-cell-label\">Keyingi qadam</span>Foydalanishga ruxsat berilgan Ailoot kalitidan foydalaning.</td></tr><tr><th data-cell-label=\"Javob\" scope=\"row\"><span class=\"card-cell-label\">Javob</span>403 · <code>permission_error</code></th><td data-cell-label=\"Shart\"><span class=\"card-cell-label\">Shart</span>Paketli ishlov berish guruhi mavjud emas.</td><td data-cell-label=\"Keyingi qadam\"><span class=\"card-cell-label\">Keyingi qadam</span>Kalit/guruhning foydalanish huquqini tekshiring.</td></tr><tr><th data-cell-label=\"Javob\" scope=\"row\"><span class=\"card-cell-label\">Javob</span>422 · <code>invalid_request_error</code></th><td data-cell-label=\"Shart\"><span class=\"card-cell-label\">Shart</span>Paketli ishlov berish to‘lovi balansdan yechiladi; obuna orqali yaratish rad etiladi.</td><td data-cell-label=\"Keyingi qadam\"><span class=\"card-cell-label\">Keyingi qadam</span>Foydalanishga ruxsat berilgan, to‘lovi balansdan yechiladigan guruhdan foydalaning.</td></tr><tr><th data-cell-label=\"Javob\" scope=\"row\"><span class=\"card-cell-label\">Javob</span>422 · <code>price_unavailable</code></th><td data-cell-label=\"Shart\"><span class=\"card-cell-label\">Shart</span>Paket kirish ma’lumotlari uchun narx hisoblab bo‘lmaydi.</td><td data-cell-label=\"Keyingi qadam\"><span class=\"card-cell-label\">Keyingi qadam</span>Javobni saqlang; tegishli API oilasi uchun hujjatlarda belgilangan kirish ma’lumotlaridan foydalaning.</td></tr><tr><th data-cell-label=\"Javob\" scope=\"row\"><span class=\"card-cell-label\">Javob</span>402 · <code>billing_error</code></th><td data-cell-label=\"Shart\"><span class=\"card-cell-label\">Shart</span>Paketli ishlov berish uchun zaxira mavjud emas.</td><td data-cell-label=\"Keyingi qadam\"><span class=\"card-cell-label\">Keyingi qadam</span>Yangi so‘rovdan oldin so‘rovni qabul qilishga ruxsat masalasini hal qiling.</td></tr><tr><th data-cell-label=\"Javob\" scope=\"row\"><span class=\"card-cell-label\">Javob</span>503 · <code>price_unavailable</code></th><td data-cell-label=\"Shart\"><span class=\"card-cell-label\">Shart</span>Paketli ishlov berish usulining narxi yoki tizimning ichki tariflari mavjud emas.</td><td data-cell-label=\"Keyingi qadam\"><span class=\"card-cell-label\">Keyingi qadam</span>Javobni saqlang; narxlarni almashtirmang.</td></tr><tr><th data-cell-label=\"Javob\" scope=\"row\"><span class=\"card-cell-label\">Javob</span>503 · <code>api_error</code></th><td data-cell-label=\"Shart\"><span class=\"card-cell-label\">Shart</span>Ta’minotchining aynan shu yo‘nalishi mavjud emas.</td><td data-cell-label=\"Keyingi qadam\"><span class=\"card-cell-label\">Keyingi qadam</span>Yo‘nalishni tuzatish uchun javobni saqlang.</td></tr><tr><th data-cell-label=\"Javob\" scope=\"row\"><span class=\"card-cell-label\">Javob</span>503 · <code>result_pending_check</code></th><td data-cell-label=\"Shart\"><span class=\"card-cell-label\">Shart</span>Dastlabki natijani tekshirish kerak; X-Should-Retry:false.</td><td data-cell-label=\"Keyingi qadam\"><span class=\"card-cell-label\">Keyingi qadam</span>Dastlabki operation_id/id ni saqlang va uning holatini o‘qing; dastlabki POST ni hech qachon takrorlamang.</td></tr><tr><th data-cell-label=\"Javob\" scope=\"row\"><span class=\"card-cell-label\">Javob</span>404 · <code>not_found</code></th><td data-cell-label=\"Shart\"><span class=\"card-cell-label\">Shart</span>Paket holatini tekshirish operatsiyasi mavjud emas yoki boshqa foydalanuvchi/kalit/guruhga tegishli.</td><td data-cell-label=\"Keyingi qadam\"><span class=\"card-cell-label\">Keyingi qadam</span>Aynan dastlabki id va o‘sha foydalanuvchi/kalit/guruhdan foydalaning.</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=mistralai%2Fmistral-large-2512%3Abatch&amp;route=Ultra&amp;caller=mistralai%2Fmistral-large-2512%3Abatch&amp;fmt=batches\"><code>mistralai/mistral-large-2512:batch</code></a></span></p><h4>Usul yo‘llari taxalluslari</h4><p class=\"note-s\">Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.</p><h4>Chaqirish uchun tegishli ID lar</h4><p class=\"note-s\"><a href=\"#m=mistralai%2Fmistral-large-2512%3Abatch&amp;route=Ultra&amp;caller=mistralai%2Fmistral-large-2512%3Abatch&amp;fmt=batches\"><code>mistralai/mistral-large-2512:batch</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "mistralai/mistral-large-2512:batch",
        "fmt": "batches",
        "http": "POST",
        "path": "/v1/batches",
        "request_model_id": "mistralai/mistral-large-2512:batch",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|batches|/v1/batches|mistralai%2Fmistral-large-2512%3Abatch",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": 0.05,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Preserve full JSON and every result; provider real IDs are only read from actual returned responses.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "errors": [
              {
                "code": null,
                "condition": "Hujjatlarda ko‘rsatilgan, so‘rovga bevosita kiritiladigan tuzilma yaroqsiz, kalitlar takrorlangan, element identifikatori noto‘g‘ri yoki so‘rov modelning sozlangan imkoniyatlariga zid.",
                "http_status": 400,
                "recovery": "Har qanday yangi yuborishdan oldin ko‘rsatilgan maydonlarni tuzating.",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "API kaliti yaroqsiz.",
                "http_status": 401,
                "recovery": "Foydalanishga ruxsat berilgan Ailoot kalitidan foydalaning.",
                "type": "authentication_error"
              },
              {
                "code": null,
                "condition": "Paketli ishlov berish guruhi mavjud emas.",
                "http_status": 403,
                "recovery": "Kalit/guruhning foydalanish huquqini tekshiring.",
                "type": "permission_error"
              },
              {
                "code": null,
                "condition": "Paketli ishlov berish to‘lovi balansdan yechiladi; obuna orqali yaratish rad etiladi.",
                "http_status": 422,
                "recovery": "Foydalanishga ruxsat berilgan, to‘lovi balansdan yechiladigan guruhdan foydalaning.",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "Paket kirish ma’lumotlari uchun narx hisoblab bo‘lmaydi.",
                "http_status": 422,
                "recovery": "Javobni saqlang; tegishli API oilasi uchun hujjatlarda belgilangan kirish ma’lumotlaridan foydalaning.",
                "type": "price_unavailable"
              },
              {
                "code": null,
                "condition": "Paketli ishlov berish uchun zaxira mavjud emas.",
                "http_status": 402,
                "recovery": "Yangi so‘rovdan oldin so‘rovni qabul qilishga ruxsat masalasini hal qiling.",
                "type": "billing_error"
              },
              {
                "code": null,
                "condition": "Paketli ishlov berish usulining narxi yoki tizimning ichki tariflari mavjud emas.",
                "http_status": 503,
                "recovery": "Javobni saqlang; narxlarni almashtirmang.",
                "type": "price_unavailable"
              },
              {
                "code": null,
                "condition": "Ta’minotchining aynan shu yo‘nalishi mavjud emas.",
                "http_status": 503,
                "recovery": "Yo‘nalishni tuzatish uchun javobni saqlang.",
                "type": "api_error"
              },
              {
                "code": "result_pending_check",
                "condition": "Dastlabki natijani tekshirish kerak; X-Should-Retry:false.",
                "http_status": 503,
                "recovery": "Dastlabki operation_id/id ni saqlang va uning holatini o‘qing; dastlabki POST ni hech qachon takrorlamang.",
                "type": null
              },
              {
                "code": "not_found",
                "condition": "Paket holatini tekshirish operatsiyasi mavjud emas yoki boshqa foydalanuvchi/kalit/guruhga tegishli.",
                "http_status": 404,
                "recovery": "Aynan dastlabki id va o‘sha foydalanuvchi/kalit/guruhdan foydalaning.",
                "type": null
              }
            ],
            "example_body": {
              "endpoint": "/v1/chat/completions",
              "model": "mistralai/mistral-large-2512:batch",
              "requests": [
                {
                  "body": {
                    "max_tokens": 16,
                    "messages": [
                      {
                        "content": "Hello!",
                        "role": "user"
                      }
                    ]
                  },
                  "custom_id": "req-0001"
                }
              ]
            },
            "input_constraints": [
              "Use the exact shown :batch model ID.",
              "Each custom_id must be nonempty and unique within the batch.",
              "Keep requests last in the serialized body; duplicate JSON keys are rejected.",
              "Each body.model is omitted or equals the exact batch caller or its documented base ID.",
              "Per-item provider, service_tier and input_type are outside this batch profile.",
              "stream is omitted or false.",
              "Supply text messages for this Chat batch profile; image/audio/file/video objects, hosted tools and cache-control fields are outside this profile.",
              "If body.model is present, use only the exact caller or wire ID listed here; no suffix conversion is needed.",
              "For google/ wire IDs, all items use an identical response_format."
            ],
            "outputs": {
              "all_results": "Dastlabki holat haqidagi to‘liq JSON ni, har bir natija/custom_id ni va to‘liq javob yoki xato tanasini saqlang. Tugallangan results[] ni hech narsani filtrlab tashlamasdan JSONL sifatida saqlang.",
              "enclosing_family": "batch",
              "family": "text",
              "fields": [
                {
                  "name": "results[].custom_id",
                  "type": "string"
                },
                {
                  "name": "results[].response.body.choices[].message.content",
                  "type": "string|null"
                },
                {
                  "name": "results[].error",
                  "type": "object|null"
                },
                {
                  "name": "usage",
                  "type": "object|null"
                },
                {
                  "description": null,
                  "name": "id",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "model",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "endpoint",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "status",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "request_counts",
                  "type": "object"
                },
                {
                  "description": null,
                  "name": "results[].id",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "results[].response.status_code",
                  "type": "integer"
                },
                {
                  "description": null,
                  "name": "results[].response.request_id",
                  "type": "string"
                }
              ],
              "format": "Javobga bevosita kiritilgan results[].response.body JSON ma’lumotlari"
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "/v1/chat/completions"
                ],
                "enum_known": true,
                "name": "endpoint",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "mistralai/mistral-large-2512:batch"
                ],
                "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": "requests",
                "required": true,
                "type": "batch_item[]"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "requests[].custom_id",
                "required": true,
                "type": "string",
                "unique_within_batch": true
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "requests[].body.messages",
                "required": true,
                "type": "message[]"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "24h"
                ],
                "enum_known": true,
                "name": "completion_window",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "provider",
                "required": false,
                "type": "object|null"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "mistralai/mistral-large-2512:batch",
                  "mistralai/mistral-large-2512"
                ],
                "enum_known": true,
                "name": "requests[].body.model",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  [
                    "mistral"
                  ]
                ],
                "enum_known": true,
                "name": "provider.only",
                "required": false,
                "type": "string[]"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  false,
                  null
                ],
                "enum_known": true,
                "name": "provider.allow_fallbacks",
                "required": false,
                "type": "boolean|null"
              }
            ],
            "provider_policy": {
              "allow_fallbacks": false,
              "configured_only": [
                "mistral"
              ],
              "per_item_override": false,
              "when_omitted": "Current Source injects the exact persisted declaration before fresh submission."
            },
            "request_schema": {
              "additionalProperties": false,
              "properties": {
                "completion_window": {
                  "enum": [
                    "24h"
                  ],
                  "type": "string"
                },
                "endpoint": {
                  "enum": [
                    "/v1/chat/completions"
                  ],
                  "type": "string"
                },
                "model": {
                  "enum": [
                    "mistralai/mistral-large-2512:batch"
                  ],
                  "type": "string"
                },
                "provider": {
                  "additionalProperties": false,
                  "properties": {
                    "allow_fallbacks": {
                      "enum": [
                        false,
                        null
                      ],
                      "type": [
                        "boolean",
                        "null"
                      ]
                    },
                    "only": {
                      "enum": [
                        [
                          "mistral"
                        ]
                      ],
                      "items": {
                        "enum": [
                          "mistral"
                        ],
                        "type": "string"
                      },
                      "maxItems": 1,
                      "minItems": 1,
                      "type": "array"
                    }
                  },
                  "type": [
                    "object",
                    "null"
                  ]
                },
                "requests": {
                  "items": {
                    "additionalProperties": false,
                    "properties": {
                      "body": {
                        "additionalProperties": true,
                        "properties": {
                          "max_tokens": {
                            "minimum": 1,
                            "type": "integer"
                          },
                          "messages": {
                            "items": {
                              "properties": {
                                "content": {
                                  "type": "string"
                                },
                                "role": {
                                  "type": "string"
                                }
                              },
                              "required": [
                                "role",
                                "content"
                              ],
                              "type": "object"
                            },
                            "minItems": 1,
                            "type": "array"
                          },
                          "model": {
                            "enum": [
                              "mistralai/mistral-large-2512:batch",
                              "mistralai/mistral-large-2512"
                            ],
                            "type": "string"
                          }
                        },
                        "required": [
                          "messages"
                        ],
                        "type": "object"
                      },
                      "custom_id": {
                        "minLength": 1,
                        "type": "string"
                      }
                    },
                    "required": [
                      "custom_id",
                      "body"
                    ],
                    "type": "object"
                  },
                  "minItems": 1,
                  "type": "array"
                }
              },
              "required": [
                "endpoint",
                "model",
                "requests"
              ],
              "type": "object"
            },
            "schema_template": {
              "endpoint": "/v1/chat/completions",
              "model": "mistralai/mistral-large-2512:batch",
              "requests": [
                {
                  "body": {
                    "max_tokens": 16,
                    "messages": [
                      {
                        "content": "Hello!",
                        "role": "user"
                      }
                    ]
                  },
                  "custom_id": "req-0001"
                }
              ]
            },
            "unsupported": [
              "Files/input_file_id batch upload workflow",
              "active cancel route",
              "public batch list/delete/result-download route",
              "model-name-derived capability or weights equivalence"
            ]
          },
          "input": {
            "content_type": "application/json",
            "file_material": "Chaqiruvchi haqiqiy UTF-8 JSONL ma’lumotlarini mahalliy tarzda requests[] ichiga o‘qishi mumkin. Yuklash maqsadi, input_file_id yoki faylga havola ishlatilmaydi. Mijoz materiali yo‘q yoki bo‘sh bo‘lsa, tayyorlash POST dan oldin to‘xtaydi.",
            "material_types": [
              "text"
            ],
            "optional_controls": [
              "provider.only",
              "provider.allow_fallbacks",
              "completion_window"
            ],
            "representation": "So‘rovga bevosita kiritilgan requests[] massivi; har bir elementda custom_id va body mavjud.",
            "request_endpoint_profile": "/v1/chat/completions",
            "required": [
              "endpoint",
              "model",
              "requests"
            ],
            "schema_scope": "Hujjatlarda ko‘rsatilgan Batch tuzilmasiga bevosita kiritilgan matnli Chat Completions so‘rovlarining tanalari.",
            "serialization_order": [
              "endpoint",
              "model",
              "provider (agar berilgan bo‘lsa)",
              "completion_window (agar berilgan bo‘lsa)",
              "requests eng oxirida"
            ]
          },
          "lifecycle": {
            "cancel": null,
            "create": {
              "accepted_status": 202,
              "http": "POST",
              "path": "/v1/batches"
            },
            "delete": null,
            "file_upload": null,
            "mode": "asynchronous",
            "observed_status_values": [
              "validating",
              "in_progress",
              "finalizing",
              "completed",
              "failed",
              "expired",
              "cancelling",
              "cancelled"
            ],
            "owned_results": {
              "behavior": "Completed results are saved as owned JSONL, read back byte-for-byte and registered in the existing media library before publication after settlement. Status returns inline results; no separate Batch download route is added.",
              "format": "application/x-ndjson",
              "public_url_field_in_status": null
            },
            "status": {
              "http": "GET",
              "id_source": "Dastlabki yaratish javobida amalda qaytarilgan response.id; aynan o‘sha foydalanuvchi/kalit/guruh",
              "path": "/v1/batches/{operation_id}"
            },
            "terminal": [
              "completed",
              "failed",
              "expired",
              "cancelled"
            ],
            "unknown": "Dastlabki operatsiya ID sini saqlang. 503 result_pending_check javobida X-Should-Retry:false mavjud; natijasi noma’lum bo‘lgan dastlabki paketni hech qachon qayta yubormang."
          },
          "manufacturer_capability": null,
          "method": {
            "http": "POST",
            "path": "/v1/batches"
          },
          "output": {
            "all_results": "Preserve the full original status JSON, every result/custom_id and complete response or error body. Save completed results[] as JSONL without filtering.",
            "family": "batch",
            "format": "JSON; completed results[] are returned inline and can be saved as JSONL."
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Tokenlar uchun bazaviy tariflar",
            "units": [
              {
                "amount": "0.0005000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000005",
                "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": "0.0015000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.0000015",
                "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": "0.00005000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.00000005",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "max_context_tokens_inclusive": null,
              "min_context_tokens_exclusive": 0
            },
            "label": "So‘rov uzunligi bo‘yicha 1-daraja",
            "units": [
              {
                "amount": "0.0005000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000005",
                "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": "0.0015000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.0000015",
                "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": "0.00005000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.00000005",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\npython3 - <<'PY_REQUEST'\nimport json\nfrom pathlib import Path\nbody=json.loads('{\"endpoint\":\"/v1/chat/completions\",\"model\":\"mistralai/mistral-large-2512:batch\",\"requests\":[{\"custom_id\":\"req-0001\",\"body\":{\"messages\":[{\"role\":\"user\",\"content\":\"Hello!\"}],\"max_tokens\":16}}]}')\nPath(\"batch-request.json\").write_text(json.dumps(body,ensure_ascii=False),encoding=\"utf-8\")\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/batches \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @batch-request.json -D batch-response-headers.txt -o batch-create-response.json\n",
            "label": "curl · retained fixture",
            "language": "bash"
          },
          {
            "code": "import json, os\nfrom pathlib import Path\nfrom urllib.request import Request, urlopen\n\ndef prepare_requests(customer_path):\n    path = Path(customer_path)\n    if not path.is_file(): raise ValueError(\"Customer JSONL file is missing\")\n    items = [json.loads(line) for line in path.read_text(encoding=\"utf-8\").splitlines() if line.strip()]\n    if not items: raise ValueError(\"Customer JSONL contains no requests\")\n    ids = set()\n    for item in items:\n        if set(item) != {\"custom_id\", \"body\"}: raise ValueError(\"Each item needs custom_id and body\")\n        cid = item[\"custom_id\"]\n        if not isinstance(cid, str) or not cid.strip() or cid in ids: raise ValueError(\"custom_id must be nonempty and unique\")\n        ids.add(cid)\n        if not isinstance(item[\"body\"], dict) or not item[\"body\"].get(\"messages\"): raise ValueError(\"Supply actual text messages\")\n        supplied_model = item[\"body\"].get(\"model\")\n        if supplied_model is not None and supplied_model not in ['mistralai/mistral-large-2512:batch', 'mistralai/mistral-large-2512']: raise ValueError(\"body.model must be an exact documented caller or wire ID\")\n    return {\"endpoint\":\"/v1/chat/completions\", \"model\":\"mistralai/mistral-large-2512:batch\", \"requests\":items}\n\nif __name__ == \"__main__\":\n    material = os.environ.get(\"AILOOT_BATCH_REQUESTS_JSONL\", \"\")\n    if not material: raise SystemExit(\"Set AILOOT_BATCH_REQUESTS_JSONL to your actual customer file\")\n    body = prepare_requests(material)\n    key = os.environ.get(\"AILOOT_API_KEY\", \"\")\n    if not key: raise SystemExit(\"Set AILOOT_API_KEY\")\n    request = Request(\"https://api.ailoot.ai/v1/batches\", data=json.dumps(body, ensure_ascii=False).encode(\"utf-8\"), headers={\"Authorization\":\"Bearer \" + key, \"Content-Type\":\"application/json\"}, method=\"POST\")\n    with urlopen(request) as response:\n        raw = response.read()\n        Path(\"batch-create-response.json\").write_bytes(raw)\n        print(raw.decode(\"utf-8\"))\n",
            "label": "Python HTTP · actual customer JSONL",
            "language": "python"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nBATCH_OPERATION_ID=\"$(python3 - <<'PY_ID'\nimport json\nfrom pathlib import Path\nfrom urllib.parse import quote\nresponse = json.loads(Path(\"batch-create-response.json\").read_text(encoding=\"utf-8\"))\noperation = response.get(\"id\")\nif not isinstance(operation, str) or not operation: raise SystemExit(\"No actual original operation ID; preserve the response and do not resubmit\")\nprint(quote(operation, safe=\"\"))\nPY_ID\n)\"\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/batches/$BATCH_OPERATION_ID\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o batch-status-response.json\n",
            "label": "curl · original operation status",
            "language": "bash"
          },
          {
            "code": "import json\nfrom pathlib import Path\nraw = Path(\"batch-status-response.json\").read_bytes()\nresponse = json.loads(raw)\nif response.get(\"status\") != \"completed\":\n    raise SystemExit(\"Keep the original operation; read its status without resubmitting\")\nresults = response.get(\"results\")\nif not isinstance(results, list) or not results:\n    raise SystemExit(\"Preserve the original response; completed results are missing\")\nPath(\"batch-results.jsonl\").write_text(\"\".join(json.dumps(item, ensure_ascii=False) + \"\\n\" for item in results), encoding=\"utf-8\")\n# Preserve batch-status-response.json with aggregate usage and every result/error.\n",
            "label": "Python · save every completed result",
            "language": "python"
          }
        ],
        "family": "batch",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "batches",
        "hints": [
          "Read your actual request items before submission; inline requests are required.",
          "Keep the returned operation ID and every result. Never replay an unknown submission."
        ],
        "http": "POST",
        "in": 0.5,
        "input": [
          "text"
        ],
        "label": "Paketli ishlov berish",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "out": 1.5,
        "output": [
          "text"
        ],
        "path": "/v1/batches",
        "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"
          },
          {
            "label": "Explicit cache pricing",
            "value": "Not enabled",
            "when": "When explicit cache is requested"
          }
        ],
        "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": "0.0005000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000005",
                "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": "0.0015000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.0000015",
                "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": "0.00005000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.00000005",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "max_context_tokens_inclusive": null,
              "min_context_tokens_exclusive": 0
            },
            "label": "Request-length tier 1",
            "units": [
              {
                "amount": "0.0005000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000005",
                "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": "0.0015000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.0000015",
                "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": "0.00005000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.00000005",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "request_model_id": "mistralai/mistral-large-2512:batch",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/batches/{operation_id}"
        ],
        "tiers": [
          {
            "cache_read": 0.05,
            "cache_read_multiplier": null,
            "cache_write": null,
            "cache_write_1h": null,
            "cache_write_multiplier": null,
            "created_at": "0001-01-01T00:00:00Z",
            "in": 0.5,
            "input_multiplier": null,
            "max": null,
            "max_tokens": null,
            "min": 0,
            "min_tokens": 0,
            "out": 1.5,
            "output_multiplier": null,
            "per_request_price": null,
            "sort_order": 0,
            "tier_label": "",
            "updated_at": "0001-01-01T00:00:00Z"
          }
        ],
        "units": [
          {
            "amount": "0.0005000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.0000005",
            "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": "0.0015000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0.0000015",
            "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": "0.00005000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": "0.00000005",
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          }
        ]
      }
    }
  ],
  "model_id": "mistralai/mistral-large-2512:batch",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "f78618da97444ffc6fe8bbf50918e5dab16a1baad32e112fcf467b2f5cd5defd",
    "input_html_sha256": "59a431fafc41df25af71bd17c6164bb7d102259b93c2699c699cdd5ed09b50b5",
    "private_audit_sha256": "e81efbeea57c83bfd34c535a79d4199faa7223cfe27d01bf10e254cc48f10c4b",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/uz/mistralai-mistral-large-2512-u003a-batch/",
    "description": "Mistral Large 3 2512 — uzun hujjatlar, korporativ bilim, dasturlash va vositalar yordamidagi ish uchun ko‘p tilli matn va tasvir modeli. Uning 256k konteksti, bevosita funksiya chaqirish va tuzilmali natijasi berilgan dalillarni javoblar, yozuvlar va taklif etilgan harakatlarga aylantirishga yordam beradi.",
    "locale": "uz",
    "md_url": "https://ailoot.ai/models/uz/mistralai-mistral-large-2512-u003a-batch/index.md",
    "title": "Mistral: Mistral Large 3 2512 (batch) — Ailoot",
    "url": "https://ailoot.ai/models/uz/mistralai-mistral-large-2512-u003a-batch/"
  },
  "rawModel": {
    "about": "Mistral Large 3 2512 — umumiy suhbat, vizual tushunish va korporativ ish uchun ko‘rsatmalarni bajarishga moslashtirilgan Mistral AI nashri. Uning siyrak ekspertlar aralashmasi arxitekturasi jami 675 milliard parametrga ega, ulardan 41 milliardi faol; kontekst oynasi 256k. Matn va tasvirlar bir vazifaga hissa qo‘shishi mumkin, javob esa matn, kod yoki tuzilmali natija bo‘ladi.\n\nImkoniyatlar va kirishni tayyorlash\n\nModel til komponentini vizual kodlagich bilan birlashtiradi. Tasvirga aniq rol bering: o‘qiladigan sahifa, talqin qilinadigan diagramma yoki tushuntiriladigan ekran. Gavjum ekran uchun tegishli boshqaruvlarni o‘z ichiga olgan qirqimni bering va ularni tushunishga zarur atrofdagi belgilarni saqlang. Mistral kvadratga yaqin tasvir shakllarini tavsiya qiladi; juda tor yoki keng manbani muhim tafsilotlar o‘qilmaydigan tasmaga kichraytirish o‘rniga foydali hududlarga ajrating.\n\nIshlab chiqaruvchi ingliz, fransuz, ispan, nemis, italyan, portugal, niderland, xitoy, yapon, koreys va arab tillarini ham o‘z ichiga olgan o‘nlab tillarda suhbatni sanaydi. Natija tili, mo‘ljallangan o‘quvchi va saqlanadigan atamalarni ayting. Yordam maqolasi uchun mahsulot nomlari o‘zgarmagan mahalliylashtirilgan izohni va nashrdan oldin aniqlashtirilishi kerak bo‘lgan noaniq tarjimalarning qisqa ro‘yxatini so‘rang.\n\nUzun hujjatlar va korporativ bilim\n\nBog‘liq materiallarni birlashtirish uchun kontekstdan foydalaning: siyosat matni, spetsifikatsiya, mavjud qarorlar va javob talab qiladigan savol. Har bir manba va uning tahririni belgilang. Foydali so‘rov: “Ushbu uchta ishga kirish siyosatini taqqoslang. Umumiy talablar, ziddiyatlar va javobsiz savollar jadvalini har bir topilmaning manba bo‘limi bilan qaytaring.” Hosil bo‘lgan material mavzuning umumiy xulosasi emas, berilgan parchalarga asoslangan taqqoslashdir.\n\nHujjat savoli uchun kerakli tafsilot darajasini ko‘rsating va xulosa yonida uni asoslaydigan parchani so‘rang. Mistralning Document QnA jarayoni avval OCR yordamida matn va hujjat tuzilmasini ajratadi, keyin til modelidan shu materialni talqin qilish uchun foydalanadi. Ajratilgan matnni tayyorlashda sahifa raqamlari va sarlavhalarni saqlang, shunda javob asl manbaga qayta ishora qila oladi. Hujjat URL manzili, ajratilgan matn va tasvir dalillarining tayyorlash talablari turlicha; ishlatayotgan ilova qo‘llaydigan kirish shaklini tanlang.\n\nDasturlash va kundalik yordam\n\nMistral Large 3ni kundalik suhbat bilan birga dasturlash yordamchisi sifatida ham tavsiya qiladi. Tegishli funksiyalar, kutilgan xatti-harakat va kuzatilgan xatoni bering. Masalan: “Kirish yangi qatorsiz tugaganda ushbu parser oxirgi maydonni tushirib qoldiradi. Xato yuz beradigan tarmoqni tushuntiring, eng kichik o‘zgarishni taklif qiling va tuzatilgan funksiyani uchta namunaviy kirish/chiqish misoli bilan qaytaring.” Foydali natija — haqiqiy kodga bog‘langan taklif etilgan o‘zgarish va dasturchi ishga tushira oladigan holatlar to‘plami.\n\nBiznes qoralamasi uchun faktlar va kerakli materialni birga bering. Yig‘ilish qaydlarini qaror xatiga aylantirish so‘rovi qaror, muqobil variantlar, ochiq taxminlar va keyingi harakatni nomlashi kerak. Modeldan manba faktlarini tavsiyalardan alohida saqlash va yetishmayotgan ma’lumotni tegishli bo‘limda belgilashni so‘rang. Bu natijani farqlanmagan hikoyaga qaraganda osonroq tahrirlashga imkon beradi.\n\nVositalar va tuzilmali natijalar\n\nBevosita funksiya chaqirish modelga berilgan funksiyani tanlash va uning argumentlarini tayyorlash imkonini beradi. Ilova ushbu funksiyani ishga tushirib, natijani qaytaradi; model keyin qaytgan ma’lumotdan javobda foydalanadi. Vositalarni aniq vazifali saqlang va faqat topshiriqqa keraklilarini taqdim eting. Ombor qoldig‘ini tekshiruvchi yordamchi mahsulot havolasini olishi, qoldiq qidiruvini so‘rashi va qaytgan miqdor hamda omborni tushuntirishi mumkin. So‘rovni bajarishdan oldin tanlangan funksiya va argumentlarni tekshiring, vosita javobini esa yakuniy javob bilan birga saqlang.\n\nMa’lumot ajratish uchun maydonlar, turlar va yetishmayotgan qiymatlarga munosabatni belgilang. Mistral JSON rejimi va maxsus tuzilmali natijani hujjatlashtiradi; JSON rejimi JSON qaytarish haqida aniq ko‘rsatmani talab qiladi, maxsus sxema esa shaklni kuchliroq boshqaradi. Hisob-faktura xulosasi yetkazib beruvchi, hisob-faktura raqami, to‘lov muddati, valyuta va satr elementlarini so‘rashi, yetishmayotgan qiymatlar esa izchil ifodalanishi mumkin. Javob so‘ralgan tuzilmaga mos bo‘lsa ham, ajratilgan qiymatlarni hujjat bilan solishtirib tekshiring.\n\nSozlamalar va nashrlar farqi\n\nTizim ko‘rsatmalarida rol, vazifa va vosita qoidalarini belgilang. Mistral ushbu modelning saqlangan holatidan ishchi tizimda va kundalik foydalanish uchun temperature 0.1 dan past bo‘lishini tavsiya qiladi; ijodiy vazifalar uchun yuqoriroq qiymatlarni sinab ko‘rish mumkin. Turli g‘oyalar so‘rovini takrorlanadigan ajratma so‘rovidan farqlang: birinchisiga muqobillar uchun joy, ikkinchisiga esa aniq maydonlar va manba cheklovlarini bering.\n\nUshbu ko‘rsatma nashri Large 3ning bazaviy saqlangan holatidan va maxsus mulohaza modellaridan alohida. Ishlab chiqaruvchi qat’iy mulohaza va ixtisoslashgan vizual ishni aynan shu vazifalar uchun yaratilgan model afzal bo‘lishi mumkin bo‘lgan yo‘nalishlar deb ko‘rsatadi. Qiyin hisoblash uchun taxminlar va birliklarni bering, oraliq tekshiruvlarni so‘rang va natijani tekshirish uchun mavjud hisoblash vositasidan foydalaning. Zich vizual dalillar uchun o‘qiladigan hududlarni tayyorlang va javobni hisobotga kiritishdan oldin manba bilan solishtiring.",
    "alias_of": null,
    "aliases": [],
    "author": "Mistral",
    "capabilities": {
      "context_length": 262144,
      "manufacturer_input": [
        "text",
        "image",
        "file"
      ],
      "manufacturer_output": [
        "text"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.0005000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.0000005",
            "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": "0.0015000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0.0000015",
            "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": [
      "batches"
    ],
    "id": "mistralai/mistral-large-2512:batch",
    "input": [
      "text"
    ],
    "kind": "text",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "cache_read": 0.05,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Preserve full JSON and every result; provider real IDs are only read from actual returned responses.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "errors": [
              {
                "code": null,
                "condition": "Hujjatlarda ko‘rsatilgan, so‘rovga bevosita kiritiladigan tuzilma yaroqsiz, kalitlar takrorlangan, element identifikatori noto‘g‘ri yoki so‘rov modelning sozlangan imkoniyatlariga zid.",
                "http_status": 400,
                "recovery": "Har qanday yangi yuborishdan oldin ko‘rsatilgan maydonlarni tuzating.",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "API kaliti yaroqsiz.",
                "http_status": 401,
                "recovery": "Foydalanishga ruxsat berilgan Ailoot kalitidan foydalaning.",
                "type": "authentication_error"
              },
              {
                "code": null,
                "condition": "Paketli ishlov berish guruhi mavjud emas.",
                "http_status": 403,
                "recovery": "Kalit/guruhning foydalanish huquqini tekshiring.",
                "type": "permission_error"
              },
              {
                "code": null,
                "condition": "Paketli ishlov berish to‘lovi balansdan yechiladi; obuna orqali yaratish rad etiladi.",
                "http_status": 422,
                "recovery": "Foydalanishga ruxsat berilgan, to‘lovi balansdan yechiladigan guruhdan foydalaning.",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "Paket kirish ma’lumotlari uchun narx hisoblab bo‘lmaydi.",
                "http_status": 422,
                "recovery": "Javobni saqlang; tegishli API oilasi uchun hujjatlarda belgilangan kirish ma’lumotlaridan foydalaning.",
                "type": "price_unavailable"
              },
              {
                "code": null,
                "condition": "Paketli ishlov berish uchun zaxira mavjud emas.",
                "http_status": 402,
                "recovery": "Yangi so‘rovdan oldin so‘rovni qabul qilishga ruxsat masalasini hal qiling.",
                "type": "billing_error"
              },
              {
                "code": null,
                "condition": "Paketli ishlov berish usulining narxi yoki tizimning ichki tariflari mavjud emas.",
                "http_status": 503,
                "recovery": "Javobni saqlang; narxlarni almashtirmang.",
                "type": "price_unavailable"
              },
              {
                "code": null,
                "condition": "Ta’minotchining aynan shu yo‘nalishi mavjud emas.",
                "http_status": 503,
                "recovery": "Yo‘nalishni tuzatish uchun javobni saqlang.",
                "type": "api_error"
              },
              {
                "code": "result_pending_check",
                "condition": "Dastlabki natijani tekshirish kerak; X-Should-Retry:false.",
                "http_status": 503,
                "recovery": "Dastlabki operation_id/id ni saqlang va uning holatini o‘qing; dastlabki POST ni hech qachon takrorlamang.",
                "type": null
              },
              {
                "code": "not_found",
                "condition": "Paket holatini tekshirish operatsiyasi mavjud emas yoki boshqa foydalanuvchi/kalit/guruhga tegishli.",
                "http_status": 404,
                "recovery": "Aynan dastlabki id va o‘sha foydalanuvchi/kalit/guruhdan foydalaning.",
                "type": null
              }
            ],
            "example_body": {
              "endpoint": "/v1/chat/completions",
              "model": "mistralai/mistral-large-2512:batch",
              "requests": [
                {
                  "body": {
                    "max_tokens": 16,
                    "messages": [
                      {
                        "content": "Hello!",
                        "role": "user"
                      }
                    ]
                  },
                  "custom_id": "req-0001"
                }
              ]
            },
            "input_constraints": [
              "Use the exact shown :batch model ID.",
              "Each custom_id must be nonempty and unique within the batch.",
              "Keep requests last in the serialized body; duplicate JSON keys are rejected.",
              "Each body.model is omitted or equals the exact batch caller or its documented base ID.",
              "Per-item provider, service_tier and input_type are outside this batch profile.",
              "stream is omitted or false.",
              "Supply text messages for this Chat batch profile; image/audio/file/video objects, hosted tools and cache-control fields are outside this profile.",
              "If body.model is present, use only the exact caller or wire ID listed here; no suffix conversion is needed.",
              "For google/ wire IDs, all items use an identical response_format."
            ],
            "outputs": {
              "all_results": "Dastlabki holat haqidagi to‘liq JSON ni, har bir natija/custom_id ni va to‘liq javob yoki xato tanasini saqlang. Tugallangan results[] ni hech narsani filtrlab tashlamasdan JSONL sifatida saqlang.",
              "enclosing_family": "batch",
              "family": "text",
              "fields": [
                {
                  "name": "results[].custom_id",
                  "type": "string"
                },
                {
                  "name": "results[].response.body.choices[].message.content",
                  "type": "string|null"
                },
                {
                  "name": "results[].error",
                  "type": "object|null"
                },
                {
                  "name": "usage",
                  "type": "object|null"
                },
                {
                  "description": null,
                  "name": "id",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "model",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "endpoint",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "status",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "request_counts",
                  "type": "object"
                },
                {
                  "description": null,
                  "name": "results[].id",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "results[].response.status_code",
                  "type": "integer"
                },
                {
                  "description": null,
                  "name": "results[].response.request_id",
                  "type": "string"
                }
              ],
              "format": "Javobga bevosita kiritilgan results[].response.body JSON ma’lumotlari"
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "/v1/chat/completions"
                ],
                "enum_known": true,
                "name": "endpoint",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "mistralai/mistral-large-2512:batch"
                ],
                "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": "requests",
                "required": true,
                "type": "batch_item[]"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "requests[].custom_id",
                "required": true,
                "type": "string",
                "unique_within_batch": true
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "requests[].body.messages",
                "required": true,
                "type": "message[]"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "24h"
                ],
                "enum_known": true,
                "name": "completion_window",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "provider",
                "required": false,
                "type": "object|null"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "mistralai/mistral-large-2512:batch",
                  "mistralai/mistral-large-2512"
                ],
                "enum_known": true,
                "name": "requests[].body.model",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  [
                    "mistral"
                  ]
                ],
                "enum_known": true,
                "name": "provider.only",
                "required": false,
                "type": "string[]"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  false,
                  null
                ],
                "enum_known": true,
                "name": "provider.allow_fallbacks",
                "required": false,
                "type": "boolean|null"
              }
            ],
            "provider_policy": {
              "allow_fallbacks": false,
              "configured_only": [
                "mistral"
              ],
              "per_item_override": false,
              "when_omitted": "Current Source injects the exact persisted declaration before fresh submission."
            },
            "request_schema": {
              "additionalProperties": false,
              "properties": {
                "completion_window": {
                  "enum": [
                    "24h"
                  ],
                  "type": "string"
                },
                "endpoint": {
                  "enum": [
                    "/v1/chat/completions"
                  ],
                  "type": "string"
                },
                "model": {
                  "enum": [
                    "mistralai/mistral-large-2512:batch"
                  ],
                  "type": "string"
                },
                "provider": {
                  "additionalProperties": false,
                  "properties": {
                    "allow_fallbacks": {
                      "enum": [
                        false,
                        null
                      ],
                      "type": [
                        "boolean",
                        "null"
                      ]
                    },
                    "only": {
                      "enum": [
                        [
                          "mistral"
                        ]
                      ],
                      "items": {
                        "enum": [
                          "mistral"
                        ],
                        "type": "string"
                      },
                      "maxItems": 1,
                      "minItems": 1,
                      "type": "array"
                    }
                  },
                  "type": [
                    "object",
                    "null"
                  ]
                },
                "requests": {
                  "items": {
                    "additionalProperties": false,
                    "properties": {
                      "body": {
                        "additionalProperties": true,
                        "properties": {
                          "max_tokens": {
                            "minimum": 1,
                            "type": "integer"
                          },
                          "messages": {
                            "items": {
                              "properties": {
                                "content": {
                                  "type": "string"
                                },
                                "role": {
                                  "type": "string"
                                }
                              },
                              "required": [
                                "role",
                                "content"
                              ],
                              "type": "object"
                            },
                            "minItems": 1,
                            "type": "array"
                          },
                          "model": {
                            "enum": [
                              "mistralai/mistral-large-2512:batch",
                              "mistralai/mistral-large-2512"
                            ],
                            "type": "string"
                          }
                        },
                        "required": [
                          "messages"
                        ],
                        "type": "object"
                      },
                      "custom_id": {
                        "minLength": 1,
                        "type": "string"
                      }
                    },
                    "required": [
                      "custom_id",
                      "body"
                    ],
                    "type": "object"
                  },
                  "minItems": 1,
                  "type": "array"
                }
              },
              "required": [
                "endpoint",
                "model",
                "requests"
              ],
              "type": "object"
            },
            "schema_template": {
              "endpoint": "/v1/chat/completions",
              "model": "mistralai/mistral-large-2512:batch",
              "requests": [
                {
                  "body": {
                    "max_tokens": 16,
                    "messages": [
                      {
                        "content": "Hello!",
                        "role": "user"
                      }
                    ]
                  },
                  "custom_id": "req-0001"
                }
              ]
            },
            "unsupported": [
              "Files/input_file_id batch upload workflow",
              "active cancel route",
              "public batch list/delete/result-download route",
              "model-name-derived capability or weights equivalence"
            ]
          },
          "input": {
            "content_type": "application/json",
            "file_material": "Chaqiruvchi haqiqiy UTF-8 JSONL ma’lumotlarini mahalliy tarzda requests[] ichiga o‘qishi mumkin. Yuklash maqsadi, input_file_id yoki faylga havola ishlatilmaydi. Mijoz materiali yo‘q yoki bo‘sh bo‘lsa, tayyorlash POST dan oldin to‘xtaydi.",
            "material_types": [
              "text"
            ],
            "optional_controls": [
              "provider.only",
              "provider.allow_fallbacks",
              "completion_window"
            ],
            "representation": "So‘rovga bevosita kiritilgan requests[] massivi; har bir elementda custom_id va body mavjud.",
            "request_endpoint_profile": "/v1/chat/completions",
            "required": [
              "endpoint",
              "model",
              "requests"
            ],
            "schema_scope": "Hujjatlarda ko‘rsatilgan Batch tuzilmasiga bevosita kiritilgan matnli Chat Completions so‘rovlarining tanalari.",
            "serialization_order": [
              "endpoint",
              "model",
              "provider (agar berilgan bo‘lsa)",
              "completion_window (agar berilgan bo‘lsa)",
              "requests eng oxirida"
            ]
          },
          "lifecycle": {
            "cancel": null,
            "create": {
              "accepted_status": 202,
              "http": "POST",
              "path": "/v1/batches"
            },
            "delete": null,
            "file_upload": null,
            "mode": "asynchronous",
            "observed_status_values": [
              "validating",
              "in_progress",
              "finalizing",
              "completed",
              "failed",
              "expired",
              "cancelling",
              "cancelled"
            ],
            "owned_results": {
              "behavior": "Completed results are saved as owned JSONL, read back byte-for-byte and registered in the existing media library before publication after settlement. Status returns inline results; no separate Batch download route is added.",
              "format": "application/x-ndjson",
              "public_url_field_in_status": null
            },
            "status": {
              "http": "GET",
              "id_source": "Dastlabki yaratish javobida amalda qaytarilgan response.id; aynan o‘sha foydalanuvchi/kalit/guruh",
              "path": "/v1/batches/{operation_id}"
            },
            "terminal": [
              "completed",
              "failed",
              "expired",
              "cancelled"
            ],
            "unknown": "Dastlabki operatsiya ID sini saqlang. 503 result_pending_check javobida X-Should-Retry:false mavjud; natijasi noma’lum bo‘lgan dastlabki paketni hech qachon qayta yubormang."
          },
          "manufacturer_capability": null,
          "method": {
            "http": "POST",
            "path": "/v1/batches"
          },
          "output": {
            "all_results": "Preserve the full original status JSON, every result/custom_id and complete response or error body. Save completed results[] as JSONL without filtering.",
            "family": "batch",
            "format": "JSON; completed results[] are returned inline and can be saved as JSONL."
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Tokenlar uchun bazaviy tariflar",
            "units": [
              {
                "amount": "0.0005000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000005",
                "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": "0.0015000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.0000015",
                "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": "0.00005000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.00000005",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "max_context_tokens_inclusive": null,
              "min_context_tokens_exclusive": 0
            },
            "label": "So‘rov uzunligi bo‘yicha 1-daraja",
            "units": [
              {
                "amount": "0.0005000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000005",
                "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": "0.0015000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.0000015",
                "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": "0.00005000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.00000005",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\npython3 - <<'PY_REQUEST'\nimport json\nfrom pathlib import Path\nbody=json.loads('{\"endpoint\":\"/v1/chat/completions\",\"model\":\"mistralai/mistral-large-2512:batch\",\"requests\":[{\"custom_id\":\"req-0001\",\"body\":{\"messages\":[{\"role\":\"user\",\"content\":\"Hello!\"}],\"max_tokens\":16}}]}')\nPath(\"batch-request.json\").write_text(json.dumps(body,ensure_ascii=False),encoding=\"utf-8\")\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/batches \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @batch-request.json -D batch-response-headers.txt -o batch-create-response.json\n",
            "label": "curl · retained fixture",
            "language": "bash"
          },
          {
            "code": "import json, os\nfrom pathlib import Path\nfrom urllib.request import Request, urlopen\n\ndef prepare_requests(customer_path):\n    path = Path(customer_path)\n    if not path.is_file(): raise ValueError(\"Customer JSONL file is missing\")\n    items = [json.loads(line) for line in path.read_text(encoding=\"utf-8\").splitlines() if line.strip()]\n    if not items: raise ValueError(\"Customer JSONL contains no requests\")\n    ids = set()\n    for item in items:\n        if set(item) != {\"custom_id\", \"body\"}: raise ValueError(\"Each item needs custom_id and body\")\n        cid = item[\"custom_id\"]\n        if not isinstance(cid, str) or not cid.strip() or cid in ids: raise ValueError(\"custom_id must be nonempty and unique\")\n        ids.add(cid)\n        if not isinstance(item[\"body\"], dict) or not item[\"body\"].get(\"messages\"): raise ValueError(\"Supply actual text messages\")\n        supplied_model = item[\"body\"].get(\"model\")\n        if supplied_model is not None and supplied_model not in ['mistralai/mistral-large-2512:batch', 'mistralai/mistral-large-2512']: raise ValueError(\"body.model must be an exact documented caller or wire ID\")\n    return {\"endpoint\":\"/v1/chat/completions\", \"model\":\"mistralai/mistral-large-2512:batch\", \"requests\":items}\n\nif __name__ == \"__main__\":\n    material = os.environ.get(\"AILOOT_BATCH_REQUESTS_JSONL\", \"\")\n    if not material: raise SystemExit(\"Set AILOOT_BATCH_REQUESTS_JSONL to your actual customer file\")\n    body = prepare_requests(material)\n    key = os.environ.get(\"AILOOT_API_KEY\", \"\")\n    if not key: raise SystemExit(\"Set AILOOT_API_KEY\")\n    request = Request(\"https://api.ailoot.ai/v1/batches\", data=json.dumps(body, ensure_ascii=False).encode(\"utf-8\"), headers={\"Authorization\":\"Bearer \" + key, \"Content-Type\":\"application/json\"}, method=\"POST\")\n    with urlopen(request) as response:\n        raw = response.read()\n        Path(\"batch-create-response.json\").write_bytes(raw)\n        print(raw.decode(\"utf-8\"))\n",
            "label": "Python HTTP · actual customer JSONL",
            "language": "python"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nBATCH_OPERATION_ID=\"$(python3 - <<'PY_ID'\nimport json\nfrom pathlib import Path\nfrom urllib.parse import quote\nresponse = json.loads(Path(\"batch-create-response.json\").read_text(encoding=\"utf-8\"))\noperation = response.get(\"id\")\nif not isinstance(operation, str) or not operation: raise SystemExit(\"No actual original operation ID; preserve the response and do not resubmit\")\nprint(quote(operation, safe=\"\"))\nPY_ID\n)\"\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/batches/$BATCH_OPERATION_ID\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o batch-status-response.json\n",
            "label": "curl · original operation status",
            "language": "bash"
          },
          {
            "code": "import json\nfrom pathlib import Path\nraw = Path(\"batch-status-response.json\").read_bytes()\nresponse = json.loads(raw)\nif response.get(\"status\") != \"completed\":\n    raise SystemExit(\"Keep the original operation; read its status without resubmitting\")\nresults = response.get(\"results\")\nif not isinstance(results, list) or not results:\n    raise SystemExit(\"Preserve the original response; completed results are missing\")\nPath(\"batch-results.jsonl\").write_text(\"\".join(json.dumps(item, ensure_ascii=False) + \"\\n\" for item in results), encoding=\"utf-8\")\n# Preserve batch-status-response.json with aggregate usage and every result/error.\n",
            "label": "Python · save every completed result",
            "language": "python"
          }
        ],
        "family": "batch",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "batches",
        "hints": [
          "Read your actual request items before submission; inline requests are required.",
          "Keep the returned operation ID and every result. Never replay an unknown submission."
        ],
        "http": "POST",
        "in": 0.5,
        "input": [
          "text"
        ],
        "label": "Paketli ishlov berish",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "out": 1.5,
        "output": [
          "text"
        ],
        "path": "/v1/batches",
        "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"
          },
          {
            "label": "Explicit cache pricing",
            "value": "Not enabled",
            "when": "When explicit cache is requested"
          }
        ],
        "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": "0.0005000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000005",
                "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": "0.0015000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.0000015",
                "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": "0.00005000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.00000005",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "max_context_tokens_inclusive": null,
              "min_context_tokens_exclusive": 0
            },
            "label": "Request-length tier 1",
            "units": [
              {
                "amount": "0.0005000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000005",
                "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": "0.0015000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.0000015",
                "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": "0.00005000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.00000005",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "request_model_id": "mistralai/mistral-large-2512:batch",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/batches/{operation_id}"
        ],
        "tiers": [
          {
            "cache_read": 0.05,
            "cache_read_multiplier": null,
            "cache_write": null,
            "cache_write_1h": null,
            "cache_write_multiplier": null,
            "created_at": "0001-01-01T00:00:00Z",
            "in": 0.5,
            "input_multiplier": null,
            "max": null,
            "max_tokens": null,
            "min": 0,
            "min_tokens": 0,
            "out": 1.5,
            "output_multiplier": null,
            "per_request_price": null,
            "sort_order": 0,
            "tier_label": "",
            "updated_at": "0001-01-01T00:00:00Z"
          }
        ],
        "units": [
          {
            "amount": "0.0005000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.0000005",
            "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": "0.0015000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0.0000015",
            "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": "0.00005000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": "0.00000005",
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          }
        ]
      }
    ],
    "model_aliases": [
      {
        "canonical_model_id": "mistralai/mistral-large-2512:batch",
        "request_model_id": "mistralai/mistral-large-2512:batch",
        "route_label": "Ultra"
      }
    ],
    "name": "Mistral: Mistral Large 3 2512 (batch)",
    "price": {
      "in": 0.5,
      "in_label": null,
      "out": 1.5,
      "out_label": null,
      "scope_label": "Token rates",
      "sort_in": 0.5,
      "sort_out": 1.5,
      "varies": true
    },
    "short": "Mistral Large 3 2512 — uzun hujjatlar, korporativ bilim, dasturlash va vositalar yordamidagi ish uchun ko‘p tilli matn va tasvir modeli. Uning 256k konteksti, bevosita funksiya chaqirish va tuzilmali natijasi berilgan dalillarni javoblar, yozuvlar va taklif etilgan harakatlarga aylantirishga yordam beradi."
  },
  "renderer_schema": {
    "method_order": "Original DTO methods order; every exact route/format/path/caller survives.",
    "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers."
  },
  "representation": "exact-public-dto-and-native-renderer-html",
  "representationNotes": {
    "current_reference": {
      "about_json_pointer": "/aboutHtml",
      "methods": [
        {
          "contract_json_pointer": "/methods/0/rawMethod/contract",
          "html_json_pointer": "/methods/0/html",
          "method_ordinal": 0
        }
      ],
      "role": "current-semantic-reference"
    },
    "raw_input": {
      "examples_role": "historical-input-not-current-ready-examples",
      "json_pointers": [
        "/rawModel",
        "/methods/0/rawMethod"
      ],
      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
  },
  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "Mistral Large 3 2512 — uzun hujjatlar, korporativ bilim, dasturlash va vositalar yordamidagi ish uchun ko‘p tilli matn va tasvir modeli. Uning 256k konteksti, bevosita funksiya chaqirish va tuzilmali natijasi berilgan dalillarni javoblar, yozuvlar va taklif etilgan harakatlarga aylantirishga yordam beradi.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "4d4f2f8f62f8a8d97ba04ca680ce8c602dd819505d57dadb17cca16ba1d44826",
    "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6"
  },
  "sourceRevision": "47417fedb6468bad93c0dcb55646a5e39fccc1f442843349896d9d86e87a4396"
}