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  "aboutHtml": "<p>Mistral Small 4 umumiy ko‘rsatmalarni bajarish, mulohaza yuritish va dasturlashni bitta multimodal modelda birlashtiradi. Ishlab chiqaruvchi uni Instruct, Magistral mulohaza va Devstral dasturlash oilalarini birlashtiruvchi model sifatida ta’riflaydi. U matn va tasvirlarni qabul qilib, matn qaytaradi; vositalar yordamidagi ilovalar uchun funksiya chaqiruvlari va JSON natija mavjud.</p><p>Arxitektura va asosiy imkoniyatlar</p><p>Reliz jami 119 milliard parametrga ega va har bir token uchun 6,5 milliardini faollashtiradi. Uning ekspertlar aralashmasi arxitekturasida 128 ekspert bor, ulardan 4 tasi faol; ishlab chiqaruvchi 256k kontekst oynasini hujjatlashtiradi. Faol parametrlar va ekspertlar soni model qanday tuzilganini ta’riflaydi; ular bitta vazifaga kiritilgan matn yoki tasvir mazmuni hajmidan farq qiladi.</p><p>Model ayni saqlangan holatda ko‘rsatma va mulohaza imkoniyatlarini beradi. Ishlab chiqaruvchi vizual tushunish, tizim promptiga rioya qilish va ingliz, fransuz, ispan, nemis, italyan, portugal, niderland, xitoy, yapon, koreys va arab tillarini ham o‘z ichiga olgan o‘nlab tillar qo‘llab-quvvatlanishini ham ko‘rsatadi. Shunday qilib, matnli ko‘rsatma tasvir haqida so‘rashi yoki yozma talabni ko‘rinadigan dalil bilan birlashtirishi mumkin; javob matn sifatida qaytariladi.</p><p>Vizual vazifa hujjat sahifasini berib, nomlangan shartga tegishli qiymatlarni so‘rashi mumkin. Belgilar va birliklarni o‘qiladigan saqlang hamda natija asl ifodani saqlashi, umumlashtirishi yoki boshqa manba bilan taqqoslashi kerakligini ayting. Interfeys vazifasi skrinshotni foydalanuvchi maqsadi bilan birlashtirib, tegishli ko‘rinadigan boshqaruv va taklif etilgan keyingi qadamni asoslaydigan dalilni so‘rashi mumkin.</p><p>Ko‘rsatma yoki mulohaza rejimini tanlash</p><p>Chiqarilgan karta darhol ko‘rsatma uslubidagi javob uchun reasoning effort none, mulohaza uchun esa high qiymatini hujjatlashtiradi; high murakkab promptlar uchun tavsiya qilinadi. Tanlov ayni Small 4 modeli ichida har bir so‘rov uchun qilinadi. Oddiy tasniflash yoki qisqa qayta yozish natijasining talablari kengaytirilgan tushuntirishga muhtoj matematik, vizual yoki kod masalasidan farq qilishi mumkin.</p><p>Ishlab chiqaruvchi yuqori mulohaza darajasi uchun temperature 0.7 ni tavsiya qiladi. none uchun vazifaga qarab 0.0 dan 0.7 gacha temperature ko‘rsatilgan. Bu sozlamalar hujjatlashtirilgan rejimlarni ta’riflaydi va mulohaza darajasini to‘g‘ri natija kafolatiga aylantirmaydi. Vazifaga qancha mulohaza kerakligini tanlashdan oldin taxminlar, natija shakli va tegishli manba materialini belgilang.</p><p>Yechimi ko‘rsatiladigan masala uchun to‘liq shartni bering va muhim asoslangan qadamlar, keyin yakuniy ifodani so‘rang. Kod vazifasi uchun talab, ta’sirlangan funksiya va aniq kirishni bering; taklif etilgan yechimni izoh va misollardan alohida so‘rang. Ishlab chiqaruvchining foydalanish namoyishlari ko‘rsatmalarga rioya qilish, tasvirga qo‘llangan hisoblash vositasi va vizual mulohazani o‘z ichiga olib, matn va vizual dalillar ushbu turli vazifalarga qanday kirishini ko‘rsatadi.</p><p>Dasturlash, hujjatlar va vositalar</p><p>Model kod bazasini o‘rganish va dasturiy muhandislik agentlari, umumiy yordamchilar, hujjatni tushunish va tadqiqot uchun tavsiya qilinadi. Dasturlash agenti so‘rovi o‘zgartiriladigan modul, saqlanadigan interfeys va hosil bo‘lishi kerak bo‘lgan xatti-harakatni nomlashi mumkin. Tegishli manba va xato dalillarini bering. Model keyingi amal yoki kod o‘zgarishini taklif qilishi mumkin, ilova esa repozitoriyga kirish, bajarish va qayta aloqa bilan ta’minlaydi.</p><p>Hujjatdan ma’lumot ajratish uchun kerakli maydonlar va yetishmayotgan ma’lumotni qanday ifodalashni belgilang. Foydali yozuv hujjat identifikatori, manba bayonoti, talqin qilingan talab va ochiq savolni ajratishi mumkin. Ishlab chiqaruvchi xizmat kartasida maxsus tuzilmali natija va hujjat bo‘yicha savol-javobni sanaydi; ikkinchisi til modeli tahlilidan oldin matn va tuzilmani tayyorlash uchun hujjatga ishlov berish va OCRdan foydalanadi. Bevosita tasvir savoli va OCR yordamidagi hujjat jarayoni o‘z kirish tayyorlash tartibini saqlashi kerak.</p><p>Funksiya chaqirish aniq tavsiflangan vositalarni talab qiladi. Model funksiyani tanlab argumentlarni yaratadi; ilova amalni bajarib, natijani keyingi javob uchun qaytaradi. Vazifa qidiruv, hisoblash yoki kod amali bo‘lishidan qat’i nazar, ayni mantiq qo‘llanadi. JSON formatlash javobni tartiblaydi, vosita chaqiruvi esa tashqi harakatni so‘raydi; ikkalasini o‘zaro almashtiriladigan natijalar deb qabul qilmaslik kerak.</p><p>Xizmat kartasida oldindan ma’lum natijalar, javob prefikslari, paketli ishlov va agent suhbatlari ham sanalgan. Oldindan ma’lum natijalar hujjat yoki kod fayli faqat cheklangan o‘zgarish bilan qayta yaratilishi kerak va qolgan mazmun ma’lum bo‘lganda foydali. Tahrir va saqlanadigan materialni ko‘rsating. Prefiksdan davom ettirish javobning ma’lum boshlanishidan foydalanadi, paketli ishlov esa qo‘shimcha mulohaza rejimiga emas, ishni topshirishga tegishli.</p><p>Kontekst va nashr chegaralari</p><p>Yozma vazifa, vizual material, suhbat va kerakli javobni hujjatlashtirilgan 256k kontekstga mos rejalashtiring. Chiqarilgan foydalanish misolida 262 144 tokenli kontekst sozlangan, undagi 1 024 tokenli yaratish misoli esa alohida maksimal chiqish sig‘imi emas. O‘qilgan manbalar tanlangan vazifa uzunligi o‘rniga qo‘yiladigan mustaqil qat’iy javob uzunligi limitini bermaydi.</p><p>Small 4 o‘zining 119B ekspertlar aralashmasi arxitekturasi va gibrid rejimlariga ega. U Medium 3.5ning 128B zich arxitekturasini yoki Ministral 3ning alohida Instruct va Reasoning nashrlarini meros qilib olmasligi kerak. Ishlab chiqaruvchi alohida kvantlangan va spekulyativ dekodlash materiallarini ham chiqaradi; ular boshqa mazmun modallari emas, alohida joylashtirish materiallaridir. Nomlangan Small 4 relizi va haqiqiy tushuntirish, tuzilmali yozuv yoki kod natijasi uchun so‘ralgan rejimni saqlang.</p>",
  "aboutText": "Mistral Small 4 umumiy ko‘rsatmalarni bajarish, mulohaza yuritish va dasturlashni bitta multimodal modelda birlashtiradi. Ishlab chiqaruvchi uni Instruct, Magistral mulohaza va Devstral dasturlash oilalarini birlashtiruvchi model sifatida ta’riflaydi. U matn va tasvirlarni qabul qilib, matn qaytaradi; vositalar yordamidagi ilovalar uchun funksiya chaqiruvlari va JSON natija mavjud.\n\nArxitektura va asosiy imkoniyatlar\n\nReliz jami 119 milliard parametrga ega va har bir token uchun 6,5 milliardini faollashtiradi. Uning ekspertlar aralashmasi arxitekturasida 128 ekspert bor, ulardan 4 tasi faol; ishlab chiqaruvchi 256k kontekst oynasini hujjatlashtiradi. Faol parametrlar va ekspertlar soni model qanday tuzilganini ta’riflaydi; ular bitta vazifaga kiritilgan matn yoki tasvir mazmuni hajmidan farq qiladi.\n\nModel ayni saqlangan holatda ko‘rsatma va mulohaza imkoniyatlarini beradi. Ishlab chiqaruvchi vizual tushunish, tizim promptiga rioya qilish va ingliz, fransuz, ispan, nemis, italyan, portugal, niderland, xitoy, yapon, koreys va arab tillarini ham o‘z ichiga olgan o‘nlab tillar qo‘llab-quvvatlanishini ham ko‘rsatadi. Shunday qilib, matnli ko‘rsatma tasvir haqida so‘rashi yoki yozma talabni ko‘rinadigan dalil bilan birlashtirishi mumkin; javob matn sifatida qaytariladi.\n\nVizual vazifa hujjat sahifasini berib, nomlangan shartga tegishli qiymatlarni so‘rashi mumkin. Belgilar va birliklarni o‘qiladigan saqlang hamda natija asl ifodani saqlashi, umumlashtirishi yoki boshqa manba bilan taqqoslashi kerakligini ayting. Interfeys vazifasi skrinshotni foydalanuvchi maqsadi bilan birlashtirib, tegishli ko‘rinadigan boshqaruv va taklif etilgan keyingi qadamni asoslaydigan dalilni so‘rashi mumkin.\n\nKo‘rsatma yoki mulohaza rejimini tanlash\n\nChiqarilgan karta darhol ko‘rsatma uslubidagi javob uchun reasoning effort none, mulohaza uchun esa high qiymatini hujjatlashtiradi; high murakkab promptlar uchun tavsiya qilinadi. Tanlov ayni Small 4 modeli ichida har bir so‘rov uchun qilinadi. Oddiy tasniflash yoki qisqa qayta yozish natijasining talablari kengaytirilgan tushuntirishga muhtoj matematik, vizual yoki kod masalasidan farq qilishi mumkin.\n\nIshlab chiqaruvchi yuqori mulohaza darajasi uchun temperature 0.7 ni tavsiya qiladi. none uchun vazifaga qarab 0.0 dan 0.7 gacha temperature ko‘rsatilgan. Bu sozlamalar hujjatlashtirilgan rejimlarni ta’riflaydi va mulohaza darajasini to‘g‘ri natija kafolatiga aylantirmaydi. Vazifaga qancha mulohaza kerakligini tanlashdan oldin taxminlar, natija shakli va tegishli manba materialini belgilang.\n\nYechimi ko‘rsatiladigan masala uchun to‘liq shartni bering va muhim asoslangan qadamlar, keyin yakuniy ifodani so‘rang. Kod vazifasi uchun talab, ta’sirlangan funksiya va aniq kirishni bering; taklif etilgan yechimni izoh va misollardan alohida so‘rang. Ishlab chiqaruvchining foydalanish namoyishlari ko‘rsatmalarga rioya qilish, tasvirga qo‘llangan hisoblash vositasi va vizual mulohazani o‘z ichiga olib, matn va vizual dalillar ushbu turli vazifalarga qanday kirishini ko‘rsatadi.\n\nDasturlash, hujjatlar va vositalar\n\nModel kod bazasini o‘rganish va dasturiy muhandislik agentlari, umumiy yordamchilar, hujjatni tushunish va tadqiqot uchun tavsiya qilinadi. Dasturlash agenti so‘rovi o‘zgartiriladigan modul, saqlanadigan interfeys va hosil bo‘lishi kerak bo‘lgan xatti-harakatni nomlashi mumkin. Tegishli manba va xato dalillarini bering. Model keyingi amal yoki kod o‘zgarishini taklif qilishi mumkin, ilova esa repozitoriyga kirish, bajarish va qayta aloqa bilan ta’minlaydi.\n\nHujjatdan ma’lumot ajratish uchun kerakli maydonlar va yetishmayotgan ma’lumotni qanday ifodalashni belgilang. Foydali yozuv hujjat identifikatori, manba bayonoti, talqin qilingan talab va ochiq savolni ajratishi mumkin. Ishlab chiqaruvchi xizmat kartasida maxsus tuzilmali natija va hujjat bo‘yicha savol-javobni sanaydi; ikkinchisi til modeli tahlilidan oldin matn va tuzilmani tayyorlash uchun hujjatga ishlov berish va OCRdan foydalanadi. Bevosita tasvir savoli va OCR yordamidagi hujjat jarayoni o‘z kirish tayyorlash tartibini saqlashi kerak.\n\nFunksiya chaqirish aniq tavsiflangan vositalarni talab qiladi. Model funksiyani tanlab argumentlarni yaratadi; ilova amalni bajarib, natijani keyingi javob uchun qaytaradi. Vazifa qidiruv, hisoblash yoki kod amali bo‘lishidan qat’i nazar, ayni mantiq qo‘llanadi. JSON formatlash javobni tartiblaydi, vosita chaqiruvi esa tashqi harakatni so‘raydi; ikkalasini o‘zaro almashtiriladigan natijalar deb qabul qilmaslik kerak.\n\nXizmat kartasida oldindan ma’lum natijalar, javob prefikslari, paketli ishlov va agent suhbatlari ham sanalgan. Oldindan ma’lum natijalar hujjat yoki kod fayli faqat cheklangan o‘zgarish bilan qayta yaratilishi kerak va qolgan mazmun ma’lum bo‘lganda foydali. Tahrir va saqlanadigan materialni ko‘rsating. Prefiksdan davom ettirish javobning ma’lum boshlanishidan foydalanadi, paketli ishlov esa qo‘shimcha mulohaza rejimiga emas, ishni topshirishga tegishli.\n\nKontekst va nashr chegaralari\n\nYozma vazifa, vizual material, suhbat va kerakli javobni hujjatlashtirilgan 256k kontekstga mos rejalashtiring. Chiqarilgan foydalanish misolida 262 144 tokenli kontekst sozlangan, undagi 1 024 tokenli yaratish misoli esa alohida maksimal chiqish sig‘imi emas. O‘qilgan manbalar tanlangan vazifa uzunligi o‘rniga qo‘yiladigan mustaqil qat’iy javob uzunligi limitini bermaydi.\n\nSmall 4 o‘zining 119B ekspertlar aralashmasi arxitekturasi va gibrid rejimlariga ega. U Medium 3.5ning 128B zich arxitekturasini yoki Ministral 3ning alohida Instruct va Reasoning nashrlarini meros qilib olmasligi kerak. Ishlab chiqaruvchi alohida kvantlangan va spekulyativ dekodlash materiallarini ham chiqaradi; ular boshqa mazmun modallari emas, alohida joylashtirish materiallaridir. Nomlangan Small 4 relizi va haqiqiy tushuntirish, tuzilmali yozuv yoki kod natijasi uchun so‘ralgan rejimni saqlang.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">Mistral: Mistral Small 4 (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-small-2603: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-small-2603%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 Small 4 — ko‘rsatma, mulohaza va dasturlash imkoniyatlariga ega gibrid matn va tasvir modeli. Uning 119B ekspertlar aralashmasi relizi har bir token uchun 6,5B parametrni faollashtiradi hamda ishlab chiqaruvchi ko‘rsatgan 256k kontekst, tanlanadigan mulohaza darajasi, JSON va funksiya chaqiruvlarini qo‘llaydi.</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 Small 4 umumiy ko‘rsatmalarni bajarish, mulohaza yuritish va dasturlashni bitta multimodal modelda birlashtiradi. Ishlab chiqaruvchi uni Instruct, Magistral mulohaza va Devstral dasturlash oilalarini birlashtiruvchi model sifatida ta’riflaydi. U matn va tasvirlarni qabul qilib, matn qaytaradi; vositalar yordamidagi ilovalar uchun funksiya chaqiruvlari va JSON natija mavjud.</p><p>Arxitektura va asosiy imkoniyatlar</p><p>Reliz jami 119 milliard parametrga ega va har bir token uchun 6,5 milliardini faollashtiradi. Uning ekspertlar aralashmasi arxitekturasida 128 ekspert bor, ulardan 4 tasi faol; ishlab chiqaruvchi 256k kontekst oynasini hujjatlashtiradi. Faol parametrlar va ekspertlar soni model qanday tuzilganini ta’riflaydi; ular bitta vazifaga kiritilgan matn yoki tasvir mazmuni hajmidan farq qiladi.</p><p>Model ayni saqlangan holatda ko‘rsatma va mulohaza imkoniyatlarini beradi. Ishlab chiqaruvchi vizual tushunish, tizim promptiga rioya qilish va ingliz, fransuz, ispan, nemis, italyan, portugal, niderland, xitoy, yapon, koreys va arab tillarini ham o‘z ichiga olgan o‘nlab tillar qo‘llab-quvvatlanishini ham ko‘rsatadi. Shunday qilib, matnli ko‘rsatma tasvir haqida so‘rashi yoki yozma talabni ko‘rinadigan dalil bilan birlashtirishi mumkin; javob matn sifatida qaytariladi.</p><p>Vizual vazifa hujjat sahifasini berib, nomlangan shartga tegishli qiymatlarni so‘rashi mumkin. Belgilar va birliklarni o‘qiladigan saqlang hamda natija asl ifodani saqlashi, umumlashtirishi yoki boshqa manba bilan taqqoslashi kerakligini ayting. Interfeys vazifasi skrinshotni foydalanuvchi maqsadi bilan birlashtirib, tegishli ko‘rinadigan boshqaruv va taklif etilgan keyingi qadamni asoslaydigan dalilni so‘rashi mumkin.</p><p>Ko‘rsatma yoki mulohaza rejimini tanlash</p><p>Chiqarilgan karta darhol ko‘rsatma uslubidagi javob uchun reasoning effort none, mulohaza uchun esa high qiymatini hujjatlashtiradi; high murakkab promptlar uchun tavsiya qilinadi. Tanlov ayni Small 4 modeli ichida har bir so‘rov uchun qilinadi. Oddiy tasniflash yoki qisqa qayta yozish natijasining talablari kengaytirilgan tushuntirishga muhtoj matematik, vizual yoki kod masalasidan farq qilishi mumkin.</p><p>Ishlab chiqaruvchi yuqori mulohaza darajasi uchun temperature 0.7 ni tavsiya qiladi. none uchun vazifaga qarab 0.0 dan 0.7 gacha temperature ko‘rsatilgan. Bu sozlamalar hujjatlashtirilgan rejimlarni ta’riflaydi va mulohaza darajasini to‘g‘ri natija kafolatiga aylantirmaydi. Vazifaga qancha mulohaza kerakligini tanlashdan oldin taxminlar, natija shakli va tegishli manba materialini belgilang.</p><p>Yechimi ko‘rsatiladigan masala uchun to‘liq shartni bering va muhim asoslangan qadamlar, keyin yakuniy ifodani so‘rang. Kod vazifasi uchun talab, ta’sirlangan funksiya va aniq kirishni bering; taklif etilgan yechimni izoh va misollardan alohida so‘rang. Ishlab chiqaruvchining foydalanish namoyishlari ko‘rsatmalarga rioya qilish, tasvirga qo‘llangan hisoblash vositasi va vizual mulohazani o‘z ichiga olib, matn va vizual dalillar ushbu turli vazifalarga qanday kirishini ko‘rsatadi.</p><p>Dasturlash, hujjatlar va vositalar</p><p>Model kod bazasini o‘rganish va dasturiy muhandislik agentlari, umumiy yordamchilar, hujjatni tushunish va tadqiqot uchun tavsiya qilinadi. Dasturlash agenti so‘rovi o‘zgartiriladigan modul, saqlanadigan interfeys va hosil bo‘lishi kerak bo‘lgan xatti-harakatni nomlashi mumkin. Tegishli manba va xato dalillarini bering. Model keyingi amal yoki kod o‘zgarishini taklif qilishi mumkin, ilova esa repozitoriyga kirish, bajarish va qayta aloqa bilan ta’minlaydi.</p><p>Hujjatdan ma’lumot ajratish uchun kerakli maydonlar va yetishmayotgan ma’lumotni qanday ifodalashni belgilang. Foydali yozuv hujjat identifikatori, manba bayonoti, talqin qilingan talab va ochiq savolni ajratishi mumkin. Ishlab chiqaruvchi xizmat kartasida maxsus tuzilmali natija va hujjat bo‘yicha savol-javobni sanaydi; ikkinchisi til modeli tahlilidan oldin matn va tuzilmani tayyorlash uchun hujjatga ishlov berish va OCRdan foydalanadi. Bevosita tasvir savoli va OCR yordamidagi hujjat jarayoni o‘z kirish tayyorlash tartibini saqlashi kerak.</p><p>Funksiya chaqirish aniq tavsiflangan vositalarni talab qiladi. Model funksiyani tanlab argumentlarni yaratadi; ilova amalni bajarib, natijani keyingi javob uchun qaytaradi. Vazifa qidiruv, hisoblash yoki kod amali bo‘lishidan qat’i nazar, ayni mantiq qo‘llanadi. JSON formatlash javobni tartiblaydi, vosita chaqiruvi esa tashqi harakatni so‘raydi; ikkalasini o‘zaro almashtiriladigan natijalar deb qabul qilmaslik kerak.</p><p>Xizmat kartasida oldindan ma’lum natijalar, javob prefikslari, paketli ishlov va agent suhbatlari ham sanalgan. Oldindan ma’lum natijalar hujjat yoki kod fayli faqat cheklangan o‘zgarish bilan qayta yaratilishi kerak va qolgan mazmun ma’lum bo‘lganda foydali. Tahrir va saqlanadigan materialni ko‘rsating. Prefiksdan davom ettirish javobning ma’lum boshlanishidan foydalanadi, paketli ishlov esa qo‘shimcha mulohaza rejimiga emas, ishni topshirishga tegishli.</p><p>Kontekst va nashr chegaralari</p><p>Yozma vazifa, vizual material, suhbat va kerakli javobni hujjatlashtirilgan 256k kontekstga mos rejalashtiring. Chiqarilgan foydalanish misolida 262 144 tokenli kontekst sozlangan, undagi 1 024 tokenli yaratish misoli esa alohida maksimal chiqish sig‘imi emas. O‘qilgan manbalar tanlangan vazifa uzunligi o‘rniga qo‘yiladigan mustaqil qat’iy javob uzunligi limitini bermaydi.</p><p>Small 4 o‘zining 119B ekspertlar aralashmasi arxitekturasi va gibrid rejimlariga ega. U Medium 3.5ning 128B zich arxitekturasini yoki Ministral 3ning alohida Instruct va Reasoning nashrlarini meros qilib olmasligi kerak. Ishlab chiqaruvchi alohida kvantlangan va spekulyativ dekodlash materiallarini ham chiqaradi; ular boshqa mazmun modallari emas, alohida joylashtirish materiallaridir. Nomlangan Small 4 relizi va haqiqiy tushuntirish, tuzilmali yozuv yoki kod natijasi uchun so‘ralgan rejimni saqlang.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Ailoot da mavjud · kirish ma’lumotlari va usullar</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · 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-small-2603: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-small-2603:batch, mistralai/mistral-small-2603</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>$0.00015</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Chiqish · Chiqish tokenlari</span> <b>$0.0006</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshdan o‘qish</span> <b>$0.000015</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>$0.00015</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Chiqish · Chiqish tokenlari</span> <b>$0.0006</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshdan o‘qish</span> <b>$0.000015</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-1932-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1932-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · Saqlangan sinov namunasi</button><button class=\"cg-tab\" id=\"model-code-1932-tab-1\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1932-panel-1\" aria-selected=\"false\" tabindex=\"-1\">Python HTTP · Mijozning haqiqiy JSONL ma’lumotlari</button><button class=\"cg-tab\" id=\"model-code-1932-tab-2\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1932-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-1932-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1932-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-small-2603: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-1932-panel-1\" role=\"tabpanel\" aria-labelledby=\"model-code-1932-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-small-2603:batch&#39;, &#39;mistralai/mistral-small-2603&#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-small-2603: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-1932-panel-2\" role=\"tabpanel\" aria-labelledby=\"model-code-1932-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-1933-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1933-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-1933-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1933-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-small-2603%3Abatch&amp;route=Ultra&amp;caller=mistralai%2Fmistral-small-2603%3Abatch&amp;fmt=batches\"><code>mistralai/mistral-small-2603: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-small-2603%3Abatch&amp;route=Ultra&amp;caller=mistralai%2Fmistral-small-2603%3Abatch&amp;fmt=batches\"><code>mistralai/mistral-small-2603:batch</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "mistralai/mistral-small-2603:batch",
        "fmt": "batches",
        "http": "POST",
        "path": "/v1/batches",
        "request_model_id": "mistralai/mistral-small-2603:batch",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|batches|/v1/batches|mistralai%2Fmistral-small-2603%3Abatch",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": 0.015,
        "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-small-2603: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-small-2603: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-small-2603:batch",
                  "mistralai/mistral-small-2603"
                ],
                "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-small-2603: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-small-2603:batch",
                              "mistralai/mistral-small-2603"
                            ],
                            "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-small-2603: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": "0.00015000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000015",
                "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": "0.0006000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.0000006",
                "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": "0.000015000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.000000015",
                "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": "0.00015000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000015",
                "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": "0.0006000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.0000006",
                "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": "0.000015000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.000000015",
                "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-small-2603: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-small-2603:batch', 'mistralai/mistral-small-2603']: raise ValueError(\"body.model must be an exact documented caller or wire ID\")\n    return {\"endpoint\":\"/v1/chat/completions\", \"model\":\"mistralai/mistral-small-2603: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": 0.15,
        "input": [
          "text"
        ],
        "label": "Paketli ishlov berish",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "out": 0.6,
        "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": "0.00015000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000015",
                "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": "0.0006000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.0000006",
                "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": "0.000015000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.000000015",
                "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": [
              {
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                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000015",
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              {
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                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
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                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.0000006",
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                "public_unit_label": "/ 1K tokens",
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              },
              {
                "amount": "0.000015000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.000000015",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
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                "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-small-2603:batch",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/batches/{operation_id}"
        ],
        "tiers": [
          {
            "cache_read": 0.015,
            "cache_read_multiplier": null,
            "cache_write": null,
            "cache_write_1h": null,
            "cache_write_multiplier": null,
            "created_at": "0001-01-01T00:00:00Z",
            "in": 0.15,
            "input_multiplier": null,
            "max": null,
            "max_tokens": null,
            "min": 0,
            "min_tokens": 0,
            "out": 0.6,
            "output_multiplier": null,
            "per_request_price": null,
            "sort_order": 0,
            "tier_label": "",
            "updated_at": "0001-01-01T00:00:00Z"
          }
        ],
        "units": [
          {
            "amount": "0.00015000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.00000015",
            "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": "0.0006000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0.0000006",
            "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": "0.000015000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": "0.000000015",
            "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",
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            "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-small-2603:batch",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "8f229230f0666bbc3e6a3711f9782549937115cf6ab23a12fc4c74d3f885a742",
    "input_html_sha256": "3f6944cecb6b54081272b3e7c9e62e1af6e53b90507750e217256a07c86157a5",
    "private_audit_sha256": "88b468592ab4429921003467f78351bc511faae50bcb4298a33454fe5e13cd3b",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/uz/mistralai-mistral-small-2603-u003a-batch/",
    "description": "Mistral Small 4 — ko‘rsatma, mulohaza va dasturlash imkoniyatlariga ega gibrid matn va tasvir modeli. Uning 119B ekspertlar aralashmasi relizi har bir token uchun 6,5B parametrni faollashtiradi hamda ishlab chiqaruvchi ko‘rsatgan 256k kontekst, tanlanadigan mulohaza darajasi, JSON va funksiya chaqiruvlarini qo‘llaydi.",
    "locale": "uz",
    "md_url": "https://ailoot.ai/models/uz/mistralai-mistral-small-2603-u003a-batch/index.md",
    "title": "Mistral: Mistral Small 4 (batch) — Ailoot",
    "url": "https://ailoot.ai/models/uz/mistralai-mistral-small-2603-u003a-batch/"
  },
  "rawModel": {
    "about": "Mistral Small 4 umumiy ko‘rsatmalarni bajarish, mulohaza yuritish va dasturlashni bitta multimodal modelda birlashtiradi. Ishlab chiqaruvchi uni Instruct, Magistral mulohaza va Devstral dasturlash oilalarini birlashtiruvchi model sifatida ta’riflaydi. U matn va tasvirlarni qabul qilib, matn qaytaradi; vositalar yordamidagi ilovalar uchun funksiya chaqiruvlari va JSON natija mavjud.\n\nArxitektura va asosiy imkoniyatlar\n\nReliz jami 119 milliard parametrga ega va har bir token uchun 6,5 milliardini faollashtiradi. Uning ekspertlar aralashmasi arxitekturasida 128 ekspert bor, ulardan 4 tasi faol; ishlab chiqaruvchi 256k kontekst oynasini hujjatlashtiradi. Faol parametrlar va ekspertlar soni model qanday tuzilganini ta’riflaydi; ular bitta vazifaga kiritilgan matn yoki tasvir mazmuni hajmidan farq qiladi.\n\nModel ayni saqlangan holatda ko‘rsatma va mulohaza imkoniyatlarini beradi. Ishlab chiqaruvchi vizual tushunish, tizim promptiga rioya qilish va ingliz, fransuz, ispan, nemis, italyan, portugal, niderland, xitoy, yapon, koreys va arab tillarini ham o‘z ichiga olgan o‘nlab tillar qo‘llab-quvvatlanishini ham ko‘rsatadi. Shunday qilib, matnli ko‘rsatma tasvir haqida so‘rashi yoki yozma talabni ko‘rinadigan dalil bilan birlashtirishi mumkin; javob matn sifatida qaytariladi.\n\nVizual vazifa hujjat sahifasini berib, nomlangan shartga tegishli qiymatlarni so‘rashi mumkin. Belgilar va birliklarni o‘qiladigan saqlang hamda natija asl ifodani saqlashi, umumlashtirishi yoki boshqa manba bilan taqqoslashi kerakligini ayting. Interfeys vazifasi skrinshotni foydalanuvchi maqsadi bilan birlashtirib, tegishli ko‘rinadigan boshqaruv va taklif etilgan keyingi qadamni asoslaydigan dalilni so‘rashi mumkin.\n\nKo‘rsatma yoki mulohaza rejimini tanlash\n\nChiqarilgan karta darhol ko‘rsatma uslubidagi javob uchun reasoning effort none, mulohaza uchun esa high qiymatini hujjatlashtiradi; high murakkab promptlar uchun tavsiya qilinadi. Tanlov ayni Small 4 modeli ichida har bir so‘rov uchun qilinadi. Oddiy tasniflash yoki qisqa qayta yozish natijasining talablari kengaytirilgan tushuntirishga muhtoj matematik, vizual yoki kod masalasidan farq qilishi mumkin.\n\nIshlab chiqaruvchi yuqori mulohaza darajasi uchun temperature 0.7 ni tavsiya qiladi. none uchun vazifaga qarab 0.0 dan 0.7 gacha temperature ko‘rsatilgan. Bu sozlamalar hujjatlashtirilgan rejimlarni ta’riflaydi va mulohaza darajasini to‘g‘ri natija kafolatiga aylantirmaydi. Vazifaga qancha mulohaza kerakligini tanlashdan oldin taxminlar, natija shakli va tegishli manba materialini belgilang.\n\nYechimi ko‘rsatiladigan masala uchun to‘liq shartni bering va muhim asoslangan qadamlar, keyin yakuniy ifodani so‘rang. Kod vazifasi uchun talab, ta’sirlangan funksiya va aniq kirishni bering; taklif etilgan yechimni izoh va misollardan alohida so‘rang. Ishlab chiqaruvchining foydalanish namoyishlari ko‘rsatmalarga rioya qilish, tasvirga qo‘llangan hisoblash vositasi va vizual mulohazani o‘z ichiga olib, matn va vizual dalillar ushbu turli vazifalarga qanday kirishini ko‘rsatadi.\n\nDasturlash, hujjatlar va vositalar\n\nModel kod bazasini o‘rganish va dasturiy muhandislik agentlari, umumiy yordamchilar, hujjatni tushunish va tadqiqot uchun tavsiya qilinadi. Dasturlash agenti so‘rovi o‘zgartiriladigan modul, saqlanadigan interfeys va hosil bo‘lishi kerak bo‘lgan xatti-harakatni nomlashi mumkin. Tegishli manba va xato dalillarini bering. Model keyingi amal yoki kod o‘zgarishini taklif qilishi mumkin, ilova esa repozitoriyga kirish, bajarish va qayta aloqa bilan ta’minlaydi.\n\nHujjatdan ma’lumot ajratish uchun kerakli maydonlar va yetishmayotgan ma’lumotni qanday ifodalashni belgilang. Foydali yozuv hujjat identifikatori, manba bayonoti, talqin qilingan talab va ochiq savolni ajratishi mumkin. Ishlab chiqaruvchi xizmat kartasida maxsus tuzilmali natija va hujjat bo‘yicha savol-javobni sanaydi; ikkinchisi til modeli tahlilidan oldin matn va tuzilmani tayyorlash uchun hujjatga ishlov berish va OCRdan foydalanadi. Bevosita tasvir savoli va OCR yordamidagi hujjat jarayoni o‘z kirish tayyorlash tartibini saqlashi kerak.\n\nFunksiya chaqirish aniq tavsiflangan vositalarni talab qiladi. Model funksiyani tanlab argumentlarni yaratadi; ilova amalni bajarib, natijani keyingi javob uchun qaytaradi. Vazifa qidiruv, hisoblash yoki kod amali bo‘lishidan qat’i nazar, ayni mantiq qo‘llanadi. JSON formatlash javobni tartiblaydi, vosita chaqiruvi esa tashqi harakatni so‘raydi; ikkalasini o‘zaro almashtiriladigan natijalar deb qabul qilmaslik kerak.\n\nXizmat kartasida oldindan ma’lum natijalar, javob prefikslari, paketli ishlov va agent suhbatlari ham sanalgan. Oldindan ma’lum natijalar hujjat yoki kod fayli faqat cheklangan o‘zgarish bilan qayta yaratilishi kerak va qolgan mazmun ma’lum bo‘lganda foydali. Tahrir va saqlanadigan materialni ko‘rsating. Prefiksdan davom ettirish javobning ma’lum boshlanishidan foydalanadi, paketli ishlov esa qo‘shimcha mulohaza rejimiga emas, ishni topshirishga tegishli.\n\nKontekst va nashr chegaralari\n\nYozma vazifa, vizual material, suhbat va kerakli javobni hujjatlashtirilgan 256k kontekstga mos rejalashtiring. Chiqarilgan foydalanish misolida 262 144 tokenli kontekst sozlangan, undagi 1 024 tokenli yaratish misoli esa alohida maksimal chiqish sig‘imi emas. O‘qilgan manbalar tanlangan vazifa uzunligi o‘rniga qo‘yiladigan mustaqil qat’iy javob uzunligi limitini bermaydi.\n\nSmall 4 o‘zining 119B ekspertlar aralashmasi arxitekturasi va gibrid rejimlariga ega. U Medium 3.5ning 128B zich arxitekturasini yoki Ministral 3ning alohida Instruct va Reasoning nashrlarini meros qilib olmasligi kerak. Ishlab chiqaruvchi alohida kvantlangan va spekulyativ dekodlash materiallarini ham chiqaradi; ular boshqa mazmun modallari emas, alohida joylashtirish materiallaridir. Nomlangan Small 4 relizi va haqiqiy tushuntirish, tuzilmali yozuv yoki kod natijasi uchun so‘ralgan rejimni saqlang.",
    "alias_of": null,
    "aliases": [],
    "author": "Mistral",
    "capabilities": {
      "context_length": 262144,
      "manufacturer_input": [
        "text",
        "image"
      ],
      "manufacturer_output": [
        "text"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.00015000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.00000015",
            "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": "0.0006000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0.0000006",
            "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-small-2603:batch",
    "input": [
      "text"
    ],
    "kind": "text",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "cache_read": 0.015,
        "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-small-2603: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-small-2603: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-small-2603:batch",
                  "mistralai/mistral-small-2603"
                ],
                "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-small-2603: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-small-2603:batch",
                              "mistralai/mistral-small-2603"
                            ],
                            "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-small-2603: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": "0.00015000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000015",
                "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": "0.0006000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.0000006",
                "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": "0.000015000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.000000015",
                "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": "0.00015000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000015",
                "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": "0.0006000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.0000006",
                "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": "0.000015000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.000000015",
                "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-small-2603: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-small-2603:batch', 'mistralai/mistral-small-2603']: raise ValueError(\"body.model must be an exact documented caller or wire ID\")\n    return {\"endpoint\":\"/v1/chat/completions\", \"model\":\"mistralai/mistral-small-2603: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": 0.15,
        "input": [
          "text"
        ],
        "label": "Paketli ishlov berish",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "out": 0.6,
        "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": "0.00015000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000015",
                "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": "0.0006000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.0000006",
                "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": "0.000015000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0.000000015",
                "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",
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            },
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        ],
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        ],
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            "amount": "0.000015000",
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        "route_label": "Ultra"
      }
    ],
    "name": "Mistral: Mistral Small 4 (batch)",
    "price": {
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      "out": 0.6,
      "out_label": null,
      "scope_label": "Token rates",
      "sort_in": 0.15,
      "sort_out": 0.6,
      "varies": true
    },
    "short": "Mistral Small 4 — ko‘rsatma, mulohaza va dasturlash imkoniyatlariga ega gibrid matn va tasvir modeli. Uning 119B ekspertlar aralashmasi relizi har bir token uchun 6,5B parametrni faollashtiradi hamda ishlab chiqaruvchi ko‘rsatgan 256k kontekst, tanlanadigan mulohaza darajasi, JSON va funksiya chaqiruvlarini qo‘llaydi."
  },
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    "method_order": "Original DTO methods order; every exact route/format/path/caller survives.",
    "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers."
  },
  "representation": "exact-public-dto-and-native-renderer-html",
  "representationNotes": {
    "current_reference": {
      "about_json_pointer": "/aboutHtml",
      "methods": [
        {
          "contract_json_pointer": "/methods/0/rawMethod/contract",
          "html_json_pointer": "/methods/0/html",
          "method_ordinal": 0
        }
      ],
      "role": "current-semantic-reference"
    },
    "raw_input": {
      "examples_role": "historical-input-not-current-ready-examples",
      "json_pointers": [
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        "/methods/0/rawMethod"
      ],
      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
  },
  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "Mistral Small 4 — ko‘rsatma, mulohaza va dasturlash imkoniyatlariga ega gibrid matn va tasvir modeli. Uning 119B ekspertlar aralashmasi relizi har bir token uchun 6,5B parametrni faollashtiradi hamda ishlab chiqaruvchi ko‘rsatgan 256k kontekst, tanlanadigan mulohaza darajasi, JSON va funksiya chaqiruvlarini qo‘llaydi.",
  "source": {
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    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
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    "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6"
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}
