{
  "aboutHtml": "<p>North Mini Code 1.0 — Cohere’ning agentli dasturiy injiniring, terminal vazifalari va kod yaratish uchun modeli. U matn qabul qiladi va kod, tushuntirishlar hamda vosita so‘rovlari kabi matn chiqaradi. Ishlab chiqaruvchi uning vaznlarini Apache 2.0 ostida chiqargan va North kod-agent oilasidagi birinchi model deb ko‘rsatadi. U tasvirni tushunadigan model yoki qarorlarni ball bilan baholaydigan umumiy model emas, ixtisoslashgan dasturlash profilidir.</p><h4>Siyrak arxitektura va dasturlashga tayyorgarlik</h4><p>Model jami 30 milliard parametrga ega, taxminan 3 milliardi faol. Uning faqat dekoderli Transformer’i 128 ekspertdan iborat siyrak Mixture of Experts’dan foydalanadi; har token uchun sakkiz ekspert faollashadi va siyrak qatlamlardan oldin zich qatlam bor. Aylanma pozitsiyali sirpanuvchi oyna diqqati pozitsiya embeddinglarisiz global diqqat bilan 3:1 nisbatda navbatlashadi. Faol parametrlar raqami saqlanishi kerak bo‘lgan barcha vaznlarni emas, token uchun ishlatiladigan hisoblashni tavsiflaydi.</p><p>Cohere’ning keyingi o‘qitishi ikki bosqichli nazoratli nozik sozlashdan so‘ng tekshiriladigan mukofotlar bilan mustahkamlash orqali o‘qitishni qo‘llaydi; yo‘nalish dasturiy injiniring va terminal ishidir. Ishlab chiqaruvchi bitta qat’iy karkas o‘rniga bir nechta agent muhitida o‘qitishni tavsiflaydi. Bu vazifani kerakli xatti-harakat va mavjud vositalar atrofida tayyorlashni qo‘llab-quvvatlaydi, atrofdagi agent muhiti esa fayllarni olish, buyruqlarni bajarish va kuzatuvlarni qaytarishga mas’ul bo‘lib qoladi.</p><h4>Repozitoriy darajasidagi o‘zgarishni tayyorlang</h4><p>Joriy kod va xatti-harakatni, so‘ralgan o‘zgarishni, tegishli fayl yoki interfeys chegaralarini hamda tugallanishni tasdiqlaydigan dalillarni taqdim eting. Xato uchun kuzatilgan xatolik yoki muvaffaqiyatsiz kirish va kutilgan natijani kiriting. Yangi imkoniyat uchun kerakli xatti-harakat va moslik cheklovlarini ayting. Foydali yakuniy artefakt — tushuntirish va haqiqatan bajarilgan tekshiruvlar natijalari bilan taklif qilingan kod o‘zgarishi.</p><p>Misol so‘rov mavjud formatlarni saqlagan holda parserni qo‘shimcha qo‘llab-quvvatlanadigan kirishga yangilashni so‘rashi mumkin. Vazifaga xos namunaviy kirish ma’lumotlarini va parser xatti-harakatini belgilaydigan repozitoriy qismini ko‘rsating. Model kod va vosita kuzatuvlari orqali o‘zgarishni ishlab chiqishi mumkin; yaratilgan patch yoki buyruq ishlashi kerak degan bayonot buyruq muvaffaqiyatli bajarilganiga dalil emas.</p><h4>Terminal vositalari va tuzilmali kuzatuvlar</h4><p>Modelning o‘z kartasi vositalardan foydalanishga o‘qitishni hujjatlashtiradi va chat shabloni orqali JSON-schema vosita tavsiflarini tavsiya etadi. Vosita maqsadi va argumentlarini aniq tavsiflang. Buyruq bajarish vositasi haqiqiy chiqish va holatni, fayl tekshirish vositasi esa keyingi qadamga kerakli materialni qaytarishi mumkin. Keyingi tahlil kerakli kuzatuvdan foydalanishi uchun har bir vosita natijasini chaqiruv identifikatori bilan bog‘lab saqlang.</p><p>Ishlab chiqaruvchi misoli vosita chaqiruvi va yordamchining mulohazasini tarixda saqlaydi, vositani bajaradi va yana generatsiya qilishdan oldin natijasini qo‘shadi. Uning o‘z shabloni misolida vosita natijasi uchun tuzilmali lug‘at ishlatiladi. Har bir aloqasiz API vosita natijalarini bir xil serializatsiya qiladi deb taxmin qilish o‘rniga, shu ifodani hujjatlashtirilgan integratsiyaga muvofiq saqlang. Vosita argumentlarini tavsiflaydigan JSON sxemasi ixtiyoriy sxema bilan cheklangan yakuniy chiqish qo‘llab-quvvatlanadi degan da’vodan farq qiladi.</p><h4>Navbatlashib keladigan fikrlash va ko‘p navbatli tarix</h4><p>North Mini Code navbatlashib keladigan fikrlashni qo‘llab-quvvatlaydi; ishlab chiqaruvchi agentli ish uchun uni yoqishni tavsiya etadi. Model yaratgan fikrlash mazmuni va vosita chaqiruvlarini keyingi agent qadamlari hamda suhbat navbatlariga olib o‘ting. O‘z misolida yordamchi xabari bilan reasoning maydoni saqlanadi va undan keyin mos vosita kuzatuvi qaytariladi. Bu model keyin nimani tekshirish yoki o‘zgartirishni tanlashda ishlatgan ma’lumotni saqlaydi.</p><p>Joriy maqsad, manba materiali va haqiqiy kuzatuvlarni vazifa tarixida saqlang. Uzunroq repozitoriy vazifasida yakuniy natijani o‘zgargan xatti-harakat va foydali artefakt atrofida umumlashtiring, shu bilan birga ko‘rib chiqish uchun kerakli dalillarni qoldiring. Navbatlashib keladigan mulohaza qisqa ko‘rinadigan javob tahlilsiz olinganini anglatmaydi va model tasvirlagan amal allaqachon yuz berganini ham tasdiqlamaydi.</p><h4>Alohida kod va tushuntirish vazifalari</h4><p>Ishlab chiqaruvchi agent siklidan tashqaridagi ilmiy dasturlash va algoritmik mulohazani ham ko‘rsatadi. Masala ta’rifi, kirish va chiqish formati, cheklovlar, tegishli sonli farazlar va kutilgan chegaraviy xatti-harakatni bering. Kerakli artefakt shu bo‘lsa, to‘liq funksiya yoki dastur hamda o‘quvchiga mos darajadagi tushuntirishni so‘rang.</p><p>Kodni tushuntirish uchun amalga oshirishni va aniqlashtiriladigan muayyan xatti-harakat yoki bog‘liqlikni taqdim eting. Ma’lumot vizualizatsiyasi kodi uchun grafik maqsadini noaniq qoldirmasdan, berilgan maydonlar va ko‘zlangan taqqoslashni belgilang. Ishlab chiqaruvchining ishlab chiqish misollarida kodni tushuntirish, tahrirlash, vizualizatsiya va spetsifikatsiyadan amalga oshirish bor. Bular har bir repozitoriy yoki framework uchun to‘g‘ri natija va’dasi emas, kod yaratish yoki o‘zgartirishning vazifa andozalaridir.</p><h4>Kontekst, chiqish va generatsiya sozlamalari</h4><p>Ishlab chiqaruvchining model kartasi va API sahifasi 256K tokenli kontekst oynasi va ko‘pi bilan 64K tokenli chiqishni ko‘rsatadi. Hajmli repozitoriy materialini shu alohida imkoniyatlar va yakuniy artefakt o‘lchamiga qarab tayyorlang. Manba chegaralari va identifikatorlarini buzmasdan saqlang, katta oyna maqsadli topshiriq zaruratini yo‘qotadi deb taxmin qilish o‘rniga, tegishli bo‘lmagan materialni olib tashlang.</p><p>O‘z model kartasi generatsiya uchun temperature 1.0 va top_p 0.95 ni tavsiya qiladi hamda matn va vosita jarayonlarida generatsiya prompti bilan birga model chat shablonidan foydalanadi. Misollardagi chiqish chegaralari shu misollar sozlamalaridir, modelning e’lon qilingan eng katta chegarasi o‘rnini bosmaydi. Cohere BF16 vaznlari va alohida nomlangan FP8 artefaktini e’lon qiladi. Joylashtirishga tayyorlanayotganda mos artefaktni tanlang.</p><p>Foydali North Mini Code natijasi — taqdim etilgan talablarga bog‘langan, tekshirish mumkin bo‘lgan kod artefakti yoki texnik tushuntirish. Natijani asl xatti-harakat va haqiqiy vosita chiqishi bilan taqqoslang, kodga ta’sir qiladigan farazlarni tekshiring va ko‘rib chiqish uchun kerakli manba hamda kuzatuvlarni saqlang. Faqat matnli dasturlash modeli mulohaza va yaratilgan mazmunni beradi; bu takliflarni tugallangan dasturiy vazifaga aylantiradigan amallarni atrofdagi ilova bajaradi.</p>",
  "aboutText": "North Mini Code 1.0 — Cohere’ning agentli dasturiy injiniring, terminal vazifalari va kod yaratish uchun modeli. U matn qabul qiladi va kod, tushuntirishlar hamda vosita so‘rovlari kabi matn chiqaradi. Ishlab chiqaruvchi uning vaznlarini Apache 2.0 ostida chiqargan va North kod-agent oilasidagi birinchi model deb ko‘rsatadi. U tasvirni tushunadigan model yoki qarorlarni ball bilan baholaydigan umumiy model emas, ixtisoslashgan dasturlash profilidir.\n\n### Siyrak arxitektura va dasturlashga tayyorgarlik\n\nModel jami 30 milliard parametrga ega, taxminan 3 milliardi faol. Uning faqat dekoderli Transformer’i 128 ekspertdan iborat siyrak Mixture of Experts’dan foydalanadi; har token uchun sakkiz ekspert faollashadi va siyrak qatlamlardan oldin zich qatlam bor. Aylanma pozitsiyali sirpanuvchi oyna diqqati pozitsiya embeddinglarisiz global diqqat bilan 3:1 nisbatda navbatlashadi. Faol parametrlar raqami saqlanishi kerak bo‘lgan barcha vaznlarni emas, token uchun ishlatiladigan hisoblashni tavsiflaydi.\n\nCohere’ning keyingi o‘qitishi ikki bosqichli nazoratli nozik sozlashdan so‘ng tekshiriladigan mukofotlar bilan mustahkamlash orqali o‘qitishni qo‘llaydi; yo‘nalish dasturiy injiniring va terminal ishidir. Ishlab chiqaruvchi bitta qat’iy karkas o‘rniga bir nechta agent muhitida o‘qitishni tavsiflaydi. Bu vazifani kerakli xatti-harakat va mavjud vositalar atrofida tayyorlashni qo‘llab-quvvatlaydi, atrofdagi agent muhiti esa fayllarni olish, buyruqlarni bajarish va kuzatuvlarni qaytarishga mas’ul bo‘lib qoladi.\n\n### Repozitoriy darajasidagi o‘zgarishni tayyorlang\n\nJoriy kod va xatti-harakatni, so‘ralgan o‘zgarishni, tegishli fayl yoki interfeys chegaralarini hamda tugallanishni tasdiqlaydigan dalillarni taqdim eting. Xato uchun kuzatilgan xatolik yoki muvaffaqiyatsiz kirish va kutilgan natijani kiriting. Yangi imkoniyat uchun kerakli xatti-harakat va moslik cheklovlarini ayting. Foydali yakuniy artefakt — tushuntirish va haqiqatan bajarilgan tekshiruvlar natijalari bilan taklif qilingan kod o‘zgarishi.\n\nMisol so‘rov mavjud formatlarni saqlagan holda parserni qo‘shimcha qo‘llab-quvvatlanadigan kirishga yangilashni so‘rashi mumkin. Vazifaga xos namunaviy kirish ma’lumotlarini va parser xatti-harakatini belgilaydigan repozitoriy qismini ko‘rsating. Model kod va vosita kuzatuvlari orqali o‘zgarishni ishlab chiqishi mumkin; yaratilgan patch yoki buyruq ishlashi kerak degan bayonot buyruq muvaffaqiyatli bajarilganiga dalil emas.\n\n### Terminal vositalari va tuzilmali kuzatuvlar\n\nModelning o‘z kartasi vositalardan foydalanishga o‘qitishni hujjatlashtiradi va chat shabloni orqali JSON-schema vosita tavsiflarini tavsiya etadi. Vosita maqsadi va argumentlarini aniq tavsiflang. Buyruq bajarish vositasi haqiqiy chiqish va holatni, fayl tekshirish vositasi esa keyingi qadamga kerakli materialni qaytarishi mumkin. Keyingi tahlil kerakli kuzatuvdan foydalanishi uchun har bir vosita natijasini chaqiruv identifikatori bilan bog‘lab saqlang.\n\nIshlab chiqaruvchi misoli vosita chaqiruvi va yordamchining mulohazasini tarixda saqlaydi, vositani bajaradi va yana generatsiya qilishdan oldin natijasini qo‘shadi. Uning o‘z shabloni misolida vosita natijasi uchun tuzilmali lug‘at ishlatiladi. Har bir aloqasiz API vosita natijalarini bir xil serializatsiya qiladi deb taxmin qilish o‘rniga, shu ifodani hujjatlashtirilgan integratsiyaga muvofiq saqlang. Vosita argumentlarini tavsiflaydigan JSON sxemasi ixtiyoriy sxema bilan cheklangan yakuniy chiqish qo‘llab-quvvatlanadi degan da’vodan farq qiladi.\n\n### Navbatlashib keladigan fikrlash va ko‘p navbatli tarix\n\nNorth Mini Code navbatlashib keladigan fikrlashni qo‘llab-quvvatlaydi; ishlab chiqaruvchi agentli ish uchun uni yoqishni tavsiya etadi. Model yaratgan fikrlash mazmuni va vosita chaqiruvlarini keyingi agent qadamlari hamda suhbat navbatlariga olib o‘ting. O‘z misolida yordamchi xabari bilan reasoning maydoni saqlanadi va undan keyin mos vosita kuzatuvi qaytariladi. Bu model keyin nimani tekshirish yoki o‘zgartirishni tanlashda ishlatgan ma’lumotni saqlaydi.\n\nJoriy maqsad, manba materiali va haqiqiy kuzatuvlarni vazifa tarixida saqlang. Uzunroq repozitoriy vazifasida yakuniy natijani o‘zgargan xatti-harakat va foydali artefakt atrofida umumlashtiring, shu bilan birga ko‘rib chiqish uchun kerakli dalillarni qoldiring. Navbatlashib keladigan mulohaza qisqa ko‘rinadigan javob tahlilsiz olinganini anglatmaydi va model tasvirlagan amal allaqachon yuz berganini ham tasdiqlamaydi.\n\n### Alohida kod va tushuntirish vazifalari\n\nIshlab chiqaruvchi agent siklidan tashqaridagi ilmiy dasturlash va algoritmik mulohazani ham ko‘rsatadi. Masala ta’rifi, kirish va chiqish formati, cheklovlar, tegishli sonli farazlar va kutilgan chegaraviy xatti-harakatni bering. Kerakli artefakt shu bo‘lsa, to‘liq funksiya yoki dastur hamda o‘quvchiga mos darajadagi tushuntirishni so‘rang.\n\nKodni tushuntirish uchun amalga oshirishni va aniqlashtiriladigan muayyan xatti-harakat yoki bog‘liqlikni taqdim eting. Ma’lumot vizualizatsiyasi kodi uchun grafik maqsadini noaniq qoldirmasdan, berilgan maydonlar va ko‘zlangan taqqoslashni belgilang. Ishlab chiqaruvchining ishlab chiqish misollarida kodni tushuntirish, tahrirlash, vizualizatsiya va spetsifikatsiyadan amalga oshirish bor. Bular har bir repozitoriy yoki framework uchun to‘g‘ri natija va’dasi emas, kod yaratish yoki o‘zgartirishning vazifa andozalaridir.\n\n### Kontekst, chiqish va generatsiya sozlamalari\n\nIshlab chiqaruvchining model kartasi va API sahifasi 256K tokenli kontekst oynasi va ko‘pi bilan 64K tokenli chiqishni ko‘rsatadi. Hajmli repozitoriy materialini shu alohida imkoniyatlar va yakuniy artefakt o‘lchamiga qarab tayyorlang. Manba chegaralari va identifikatorlarini buzmasdan saqlang, katta oyna maqsadli topshiriq zaruratini yo‘qotadi deb taxmin qilish o‘rniga, tegishli bo‘lmagan materialni olib tashlang.\n\nO‘z model kartasi generatsiya uchun temperature 1.0 va top_p 0.95 ni tavsiya qiladi hamda matn va vosita jarayonlarida generatsiya prompti bilan birga model chat shablonidan foydalanadi. Misollardagi chiqish chegaralari shu misollar sozlamalaridir, modelning e’lon qilingan eng katta chegarasi o‘rnini bosmaydi. Cohere BF16 vaznlari va alohida nomlangan FP8 artefaktini e’lon qiladi. Joylashtirishga tayyorlanayotganda mos artefaktni tanlang.\n\nFoydali North Mini Code natijasi — taqdim etilgan talablarga bog‘langan, tekshirish mumkin bo‘lgan kod artefakti yoki texnik tushuntirish. Natijani asl xatti-harakat va haqiqiy vosita chiqishi bilan taqqoslang, kodga ta’sir qiladigan farazlarni tekshiring va ko‘rib chiqish uchun kerakli manba hamda kuzatuvlarni saqlang. Faqat matnli dasturlash modeli mulohaza va yaratilgan mazmunni beradi; bu takliflarni tugallangan dasturiy vazifaga aylantiradigan amallarni atrofdagi ilova bajaradi.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">Cohere: North Mini Code (free)</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Yopish\">×</button></div><div class=\"idline\"><span>Cohere /</span><code>cohere/north-mini-code:free</code><button type=\"button\" id=\"copy-id\">ID ni nusxalash</button></div><nav class=\"card-jump-nav\" aria-label=\"Model kartochkasi bo‘limlari\"><button type=\"button\" data-card-jump=\"overview\">Boshlash</button><button type=\"button\" data-card-jump=\"methods\">Kirish ma’lumotlari va usullar</button><button type=\"button\" data-card-jump=\"pricing\">Tariflar</button><button type=\"button\" data-card-jump=\"examples\">Namunalar</button><button type=\"button\" data-card-jump=\"results\">Natijalar</button><button type=\"button\" data-card-jump=\"aliases\">Taxalluslar</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"API usullari\"><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-0\" data-card-method=\"Ultra|chat|/v1/chat/completions|cohere%2Fnorth-mini-code%3Afree\">Chat</button><button type=\"button\" role=\"tab\" tabindex=\"-1\" aria-controls=\"card-method-content\" aria-selected=\"false\" id=\"card-method-tab-1\" data-card-method=\"Ultra|messages|/v1/messages|cohere%2Fnorth-mini-code%3Afree\">Messages</button></div><div id=\"card-method-content\" role=\"tabpanel\" aria-labelledby=\"card-method-tab-0\"><section class=\"card-section\" data-card-section=\"overview\"><h3 tabindex=\"-1\">Boshlash</h3><p class=\"mdesc-full\">North Mini Code 1.0 — Cohere’ning kod yaratish, repozitoriy o‘zgarishlari va terminal orqali boshqariladigan agent vazifalari uchun faqat matnli modeli. Jami 30B/faol 3B parametrli siyrak dizayni vositalardan foydalanish va navbatlashib keladigan fikrlashni qo‘llab-quvvatlaydi; hujjatlashtirilgan konteksti 256K, chiqish imkoniyati 64K.</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>North Mini Code 1.0 — Cohere’ning agentli dasturiy injiniring, terminal vazifalari va kod yaratish uchun modeli. U matn qabul qiladi va kod, tushuntirishlar hamda vosita so‘rovlari kabi matn chiqaradi. Ishlab chiqaruvchi uning vaznlarini Apache 2.0 ostida chiqargan va North kod-agent oilasidagi birinchi model deb ko‘rsatadi. U tasvirni tushunadigan model yoki qarorlarni ball bilan baholaydigan umumiy model emas, ixtisoslashgan dasturlash profilidir.</p><h4>Siyrak arxitektura va dasturlashga tayyorgarlik</h4><p>Model jami 30 milliard parametrga ega, taxminan 3 milliardi faol. Uning faqat dekoderli Transformer’i 128 ekspertdan iborat siyrak Mixture of Experts’dan foydalanadi; har token uchun sakkiz ekspert faollashadi va siyrak qatlamlardan oldin zich qatlam bor. Aylanma pozitsiyali sirpanuvchi oyna diqqati pozitsiya embeddinglarisiz global diqqat bilan 3:1 nisbatda navbatlashadi. Faol parametrlar raqami saqlanishi kerak bo‘lgan barcha vaznlarni emas, token uchun ishlatiladigan hisoblashni tavsiflaydi.</p><p>Cohere’ning keyingi o‘qitishi ikki bosqichli nazoratli nozik sozlashdan so‘ng tekshiriladigan mukofotlar bilan mustahkamlash orqali o‘qitishni qo‘llaydi; yo‘nalish dasturiy injiniring va terminal ishidir. Ishlab chiqaruvchi bitta qat’iy karkas o‘rniga bir nechta agent muhitida o‘qitishni tavsiflaydi. Bu vazifani kerakli xatti-harakat va mavjud vositalar atrofida tayyorlashni qo‘llab-quvvatlaydi, atrofdagi agent muhiti esa fayllarni olish, buyruqlarni bajarish va kuzatuvlarni qaytarishga mas’ul bo‘lib qoladi.</p><h4>Repozitoriy darajasidagi o‘zgarishni tayyorlang</h4><p>Joriy kod va xatti-harakatni, so‘ralgan o‘zgarishni, tegishli fayl yoki interfeys chegaralarini hamda tugallanishni tasdiqlaydigan dalillarni taqdim eting. Xato uchun kuzatilgan xatolik yoki muvaffaqiyatsiz kirish va kutilgan natijani kiriting. Yangi imkoniyat uchun kerakli xatti-harakat va moslik cheklovlarini ayting. Foydali yakuniy artefakt — tushuntirish va haqiqatan bajarilgan tekshiruvlar natijalari bilan taklif qilingan kod o‘zgarishi.</p><p>Misol so‘rov mavjud formatlarni saqlagan holda parserni qo‘shimcha qo‘llab-quvvatlanadigan kirishga yangilashni so‘rashi mumkin. Vazifaga xos namunaviy kirish ma’lumotlarini va parser xatti-harakatini belgilaydigan repozitoriy qismini ko‘rsating. Model kod va vosita kuzatuvlari orqali o‘zgarishni ishlab chiqishi mumkin; yaratilgan patch yoki buyruq ishlashi kerak degan bayonot buyruq muvaffaqiyatli bajarilganiga dalil emas.</p><h4>Terminal vositalari va tuzilmali kuzatuvlar</h4><p>Modelning o‘z kartasi vositalardan foydalanishga o‘qitishni hujjatlashtiradi va chat shabloni orqali JSON-schema vosita tavsiflarini tavsiya etadi. Vosita maqsadi va argumentlarini aniq tavsiflang. Buyruq bajarish vositasi haqiqiy chiqish va holatni, fayl tekshirish vositasi esa keyingi qadamga kerakli materialni qaytarishi mumkin. Keyingi tahlil kerakli kuzatuvdan foydalanishi uchun har bir vosita natijasini chaqiruv identifikatori bilan bog‘lab saqlang.</p><p>Ishlab chiqaruvchi misoli vosita chaqiruvi va yordamchining mulohazasini tarixda saqlaydi, vositani bajaradi va yana generatsiya qilishdan oldin natijasini qo‘shadi. Uning o‘z shabloni misolida vosita natijasi uchun tuzilmali lug‘at ishlatiladi. Har bir aloqasiz API vosita natijalarini bir xil serializatsiya qiladi deb taxmin qilish o‘rniga, shu ifodani hujjatlashtirilgan integratsiyaga muvofiq saqlang. Vosita argumentlarini tavsiflaydigan JSON sxemasi ixtiyoriy sxema bilan cheklangan yakuniy chiqish qo‘llab-quvvatlanadi degan da’vodan farq qiladi.</p><h4>Navbatlashib keladigan fikrlash va ko‘p navbatli tarix</h4><p>North Mini Code navbatlashib keladigan fikrlashni qo‘llab-quvvatlaydi; ishlab chiqaruvchi agentli ish uchun uni yoqishni tavsiya etadi. Model yaratgan fikrlash mazmuni va vosita chaqiruvlarini keyingi agent qadamlari hamda suhbat navbatlariga olib o‘ting. O‘z misolida yordamchi xabari bilan reasoning maydoni saqlanadi va undan keyin mos vosita kuzatuvi qaytariladi. Bu model keyin nimani tekshirish yoki o‘zgartirishni tanlashda ishlatgan ma’lumotni saqlaydi.</p><p>Joriy maqsad, manba materiali va haqiqiy kuzatuvlarni vazifa tarixida saqlang. Uzunroq repozitoriy vazifasida yakuniy natijani o‘zgargan xatti-harakat va foydali artefakt atrofida umumlashtiring, shu bilan birga ko‘rib chiqish uchun kerakli dalillarni qoldiring. Navbatlashib keladigan mulohaza qisqa ko‘rinadigan javob tahlilsiz olinganini anglatmaydi va model tasvirlagan amal allaqachon yuz berganini ham tasdiqlamaydi.</p><h4>Alohida kod va tushuntirish vazifalari</h4><p>Ishlab chiqaruvchi agent siklidan tashqaridagi ilmiy dasturlash va algoritmik mulohazani ham ko‘rsatadi. Masala ta’rifi, kirish va chiqish formati, cheklovlar, tegishli sonli farazlar va kutilgan chegaraviy xatti-harakatni bering. Kerakli artefakt shu bo‘lsa, to‘liq funksiya yoki dastur hamda o‘quvchiga mos darajadagi tushuntirishni so‘rang.</p><p>Kodni tushuntirish uchun amalga oshirishni va aniqlashtiriladigan muayyan xatti-harakat yoki bog‘liqlikni taqdim eting. Ma’lumot vizualizatsiyasi kodi uchun grafik maqsadini noaniq qoldirmasdan, berilgan maydonlar va ko‘zlangan taqqoslashni belgilang. Ishlab chiqaruvchining ishlab chiqish misollarida kodni tushuntirish, tahrirlash, vizualizatsiya va spetsifikatsiyadan amalga oshirish bor. Bular har bir repozitoriy yoki framework uchun to‘g‘ri natija va’dasi emas, kod yaratish yoki o‘zgartirishning vazifa andozalaridir.</p><h4>Kontekst, chiqish va generatsiya sozlamalari</h4><p>Ishlab chiqaruvchining model kartasi va API sahifasi 256K tokenli kontekst oynasi va ko‘pi bilan 64K tokenli chiqishni ko‘rsatadi. Hajmli repozitoriy materialini shu alohida imkoniyatlar va yakuniy artefakt o‘lchamiga qarab tayyorlang. Manba chegaralari va identifikatorlarini buzmasdan saqlang, katta oyna maqsadli topshiriq zaruratini yo‘qotadi deb taxmin qilish o‘rniga, tegishli bo‘lmagan materialni olib tashlang.</p><p>O‘z model kartasi generatsiya uchun temperature 1.0 va top_p 0.95 ni tavsiya qiladi hamda matn va vosita jarayonlarida generatsiya prompti bilan birga model chat shablonidan foydalanadi. Misollardagi chiqish chegaralari shu misollar sozlamalaridir, modelning e’lon qilingan eng katta chegarasi o‘rnini bosmaydi. Cohere BF16 vaznlari va alohida nomlangan FP8 artefaktini e’lon qiladi. Joylashtirishga tayyorlanayotganda mos artefaktni tanlang.</p><p>Foydali North Mini Code natijasi — taqdim etilgan talablarga bog‘langan, tekshirish mumkin bo‘lgan kod artefakti yoki texnik tushuntirish. Natijani asl xatti-harakat va haqiqiy vosita chiqishi bilan taqqoslang, kodga ta’sir qiladigan farazlarni tekshiring va ko‘rib chiqish uchun kerakli manba hamda kuzatuvlarni saqlang. Faqat matnli dasturlash modeli mulohaza va yaratilgan mazmunni beradi; bu takliflarni tugallangan dasturiy vazifaga aylantiradigan amallarni atrofdagi ilova bajaradi.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Ailoot da mavjud · kirish ma’lumotlari va usullar</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · OpenAI Chat</b> <code>POST /v1/chat/completions</code></summary><dl class=\"method-capabilities\"><div><dt>Kirish</dt><dd><code>text</code></dd></div><div><dt>Chiqish</dt><dd><code>text</code></dd></div><div><dt>Kontekst</dt><dd>256 000 tokens</dd></div><div><dt>Eng katta chiqish</dt><dd>64 000 tokens</dd></div><div><dt>Chiqish formati</dt><dd>JSON</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Maydon</th><th>Tur</th><th>Talab</th><th>Qiymatlar va cheklovlar</th><th>Standart</th></tr></thead><tbody><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>string</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>cohere/north-mini-code:free</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">messages</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>array</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">stream</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>boolean</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>false</div></td><td data-cell-label=\"Standart\" data-default=\"known\"><span class=\"card-cell-label\">Standart</span>false</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">max_tokens</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>integer</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>Eng kam: 1</div><div>Eng ko‘p: 64 000</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">max_completion_tokens</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>integer</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>Eng kam: 1</div><div>Eng ko‘p: 64 000</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">n</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>integer</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>Eng kam: 1</div><div>Eng ko‘p: 128</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">temperature</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>number</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><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">top_p</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>number</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><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">seed</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>integer</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>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><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">stop</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code></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><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">frequency_penalty</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>number</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><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">presence_penalty</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>number</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><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">user</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></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>model, messages</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>optional</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>stream, max_tokens, max_completion_tokens, n, temperature, top_p, seed, stop, frequency_penalty, presence_penalty, user</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>conditions</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>Use literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method., The complete encoded JSON request must not exceed 256000 bytes.</td></tr></tbody></table></div><p>Hayot sikli: <code>synchronous_json</code></p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Tariflar</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.</p><dl data-price-conditions><dt>Tezkor rejim</dt><dd>Standart tarif <span class=\"note-s\">Tezkor rejim tanlanganda</span></dd><dt>Flex rejimi</dt><dd>Standart tarif <span class=\"note-s\">flex rejimi tanlanganda</span></dd><dt>Maksimal fikrlash darajasi</dt><dd>Standart tarif <span class=\"note-s\">Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda</span></dd><dt>Ochiq ko‘rsatilgan keshlash narxlari</dt><dd>Yoqilmagan <span class=\"note-s\">Ochiq ko‘rsatilgan keshlash so‘ralganda</span></dd><dt>Faqat matn uchun nol tariflar</dt><dd>Text input and output only. Cache, tools, media and streaming are unavailable. <span class=\"note-s\">Faqat matnli kirish va chiqish uchun</span></dd></dl></div><div data-declared-tariff-pricing><h4>Ailoot tariflari</h4><h4>Sozlamalar bo‘yicha narxlar</h4><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Sozlama</th><th>Tariflar jadvali</th><th>To‘lov</th></tr></thead><tbody><tr><th data-cell-label=\"Sozlama\" scope=\"row\"><span class=\"card-cell-label\">Sozlama</span>Tokenlar uchun bazaviy tariflar</th><td data-cell-label=\"Tariflar jadvali\"><span class=\"card-cell-label\">Tariflar jadvali</span>Asosiy tarif</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Kirish · Kirish tokenlari</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Chiqish · Chiqish tokenlari</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshdan o‘qish</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish, 1 soat</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. <a href=\"/docs/uz/billing/reserve/\">Summani band qilish va to‘lovni hisoblash tartibi →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">So‘rov namunalari</h3><h4>Ailoot Ultra · OpenAI Chat</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kod variantlari\"><button class=\"cg-tab\" id=\"model-code-44-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-44-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · Bir marta yarating va natijani to‘liq saqlang</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kodni nusxalash\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-44-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-44-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nexport AILOOT_API_KEY\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np=json.loads(&#39;{&quot;model&quot;: &quot;cohere/north-mini-code:free&quot;, &quot;messages&quot;: [{&quot;role&quot;: &quot;user&quot;, &quot;content&quot;: &quot;Summarize the supplied text in three concise points.&quot;}], &quot;stream&quot;: false}&#39;)\n\nPath(&quot;request.json&quot;).write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Natijalarni olish va saqlash</h3><h4>Ailoot Ultra · OpenAI Chat</h4><p class=\"note-s\">JSON</p><div class=\"card-result-process\" data-all-results><h5>Barcha tayyor natijalarni saqlash</h5><p class=\"note-s\">Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.</p><p class=\"note-s\">Retain the complete response, all actual results, original identifiers, usage and response headers.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Asl javobni tekshirish kerak bo‘lsa</h5><p class=\"note-s\">Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.</p></div></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=cohere%2Fnorth-mini-code%3Afree&amp;route=Ultra&amp;caller=cohere%2Fnorth-mini-code%3Afree&amp;fmt=chat\"><code>cohere/north-mini-code:free</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=cohere%2Fnorth-mini-code%3Afree&amp;route=Ultra&amp;caller=cohere%2Fnorth-mini-code%3Afree&amp;fmt=chat\"><code>cohere/north-mini-code:free</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "cohere/north-mini-code:free",
        "fmt": "chat",
        "http": "POST",
        "path": "/v1/chat/completions",
        "request_model_id": "cohere/north-mini-code:free",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|chat|/v1/chat/completions|cohere%2Fnorth-mini-code%3Afree",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "example_body": {
              "messages": [
                {
                  "content": "Summarize the supplied text in three concise points.",
                  "role": "user"
                }
              ],
              "model": "cohere/north-mini-code:free",
              "stream": false
            },
            "lifecycle": {
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/chat/completions"
              },
              "mode": "synchronous_json",
              "status": [],
              "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
              "family": "text",
              "format": "JSON"
            },
            "parameters": [
              {
                "default_known": false,
                "enum": [
                  "cohere/north-mini-code:free"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "items": {
                  "additionalProperties": false,
                  "properties": {
                    "content": {
                      "type": "string"
                    },
                    "role": {
                      "enum": [
                        "user",
                        "assistant",
                        "system",
                        "developer"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "role",
                    "content"
                  ],
                  "type": "object"
                },
                "minItems": 1,
                "name": "messages",
                "required": true,
                "type": "array"
              },
              {
                "default": false,
                "default_known": true,
                "enum": [
                  false
                ],
                "enum_known": true,
                "name": "stream",
                "required": false,
                "type": "boolean"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maximum": 64000,
                "minimum": 1,
                "name": "max_tokens",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maximum": 64000,
                "minimum": 1,
                "name": "max_completion_tokens",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maximum": 128,
                "minimum": 1,
                "name": "n",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "temperature",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "top_p",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "seed",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "stop",
                "oneOf": [
                  {
                    "type": "string"
                  },
                  {
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  }
                ],
                "required": false
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "frequency_penalty",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "presence_penalty",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "user",
                "required": false,
                "type": "string"
              }
            ],
            "request_schema": {
              "additionalProperties": false,
              "properties": {
                "frequency_penalty": {
                  "type": "number"
                },
                "max_completion_tokens": {
                  "maximum": 64000,
                  "minimum": 1,
                  "type": "integer"
                },
                "max_tokens": {
                  "maximum": 64000,
                  "minimum": 1,
                  "type": "integer"
                },
                "messages": {
                  "items": {
                    "additionalProperties": false,
                    "properties": {
                      "content": {
                        "type": "string"
                      },
                      "role": {
                        "enum": [
                          "user",
                          "assistant",
                          "system",
                          "developer"
                        ],
                        "type": "string"
                      }
                    },
                    "required": [
                      "role",
                      "content"
                    ],
                    "type": "object"
                  },
                  "minItems": 1,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "cohere/north-mini-code:free"
                  ],
                  "type": "string"
                },
                "n": {
                  "maximum": 128,
                  "minimum": 1,
                  "type": "integer"
                },
                "presence_penalty": {
                  "type": "number"
                },
                "seed": {
                  "type": "integer"
                },
                "stop": {
                  "oneOf": [
                    {
                      "type": "string"
                    },
                    {
                      "items": {
                        "type": "string"
                      },
                      "type": "array"
                    }
                  ]
                },
                "stream": {
                  "default": false,
                  "enum": [
                    false
                  ],
                  "type": "boolean"
                },
                "temperature": {
                  "type": "number"
                },
                "top_p": {
                  "type": "number"
                },
                "user": {
                  "type": "string"
                }
              },
              "required": [
                "model",
                "messages"
              ],
              "type": "object"
            },
            "schema_template": {
              "body": {
                "messages": [
                  {
                    "content": "Summarize the supplied text in three concise points.",
                    "role": "user"
                  }
                ],
                "model": "cohere/north-mini-code:free",
                "stream": false
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Use literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method.",
              "The complete encoded JSON request must not exceed 256000 bytes."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [
              "stream",
              "max_tokens",
              "max_completion_tokens",
              "n",
              "temperature",
              "top_p",
              "seed",
              "stop",
              "frequency_penalty",
              "presence_penalty",
              "user"
            ],
            "required": [
              "model",
              "messages"
            ]
          },
          "lifecycle": {
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/chat/completions"
            },
            "mode": "synchronous_json",
            "status": [],
            "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/chat/completions"
          },
          "method_aliases": [],
          "output": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "family": "text",
            "format": "JSON"
          }
        },
        "ctx": 256000,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "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}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"cohere/north-mini-code:free\", \"messages\": [{\"role\": \"user\", \"content\": \"Summarize the supplied text in three concise points.\"}], \"stream\": false}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": 1,
        "flex_multiplier": 1,
        "fmt": "chat",
        "hints": [
          "Send exact model ID with messages.",
          "Context length is not an output cap.",
          "A text file may supply literal text; image/audio/file-object inputs need exact binding."
        ],
        "http": "POST",
        "img_in": null,
        "img_out": null,
        "in": 0,
        "input": [
          "text"
        ],
        "label": "OpenAI Chat",
        "max_out": 64000,
        "max_reasoning_effort_multiplier": 1,
        "method_aliases": [],
        "out": 0,
        "output": [
          "text"
        ],
        "path": "/v1/chat/completions",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Standard rate",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Standard rate",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Standard rate",
            "when": "When maximum reasoning effort uses the default adjustment"
          },
          {
            "label": "Explicit cache pricing",
            "value": "Not enabled",
            "when": "When explicit cache is requested"
          },
          {
            "label": "Text-only zero rates",
            "value": "Text input and output only. Cache, tools, media and streaming are unavailable.",
            "when": "For text-only input and output"
          }
        ],
        "pricing": {
          "allow_explicit_cache": false,
          "billing_mode": "token",
          "cache_read_price": null,
          "cache_write_1h_price": null,
          "cache_write_price": null,
          "fast_multiplier": 1,
          "flex_multiplier": 1,
          "image_input_price": null,
          "image_output_price": null,
          "input_price": 0,
          "intervals": [],
          "max_reasoning_effort_multiplier": 1,
          "output_price": 0,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "request_model_id": "cohere/north-mini-code:free",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "unit": "token",
        "units": [
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "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"
          }
        ]
      }
    },
    {
      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">Cohere: North Mini Code (free)</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Yopish\">×</button></div><div class=\"idline\"><span>Cohere /</span><code>cohere/north-mini-code:free</code><button type=\"button\" id=\"copy-id\">ID ni nusxalash</button></div><nav class=\"card-jump-nav\" aria-label=\"Model kartochkasi bo‘limlari\"><button type=\"button\" data-card-jump=\"overview\">Boshlash</button><button type=\"button\" data-card-jump=\"methods\">Kirish ma’lumotlari va usullar</button><button type=\"button\" data-card-jump=\"pricing\">Tariflar</button><button type=\"button\" data-card-jump=\"examples\">Namunalar</button><button type=\"button\" data-card-jump=\"results\">Natijalar</button><button type=\"button\" data-card-jump=\"aliases\">Taxalluslar</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"API usullari\"><button type=\"button\" role=\"tab\" tabindex=\"-1\" aria-controls=\"card-method-content\" aria-selected=\"false\" id=\"card-method-tab-0\" data-card-method=\"Ultra|chat|/v1/chat/completions|cohere%2Fnorth-mini-code%3Afree\">Chat</button><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-1\" data-card-method=\"Ultra|messages|/v1/messages|cohere%2Fnorth-mini-code%3Afree\">Messages</button></div><div id=\"card-method-content\" role=\"tabpanel\" aria-labelledby=\"card-method-tab-1\"><section class=\"card-section\" data-card-section=\"overview\"><h3 tabindex=\"-1\">Boshlash</h3><p class=\"mdesc-full\">North Mini Code 1.0 — Cohere’ning kod yaratish, repozitoriy o‘zgarishlari va terminal orqali boshqariladigan agent vazifalari uchun faqat matnli modeli. Jami 30B/faol 3B parametrli siyrak dizayni vositalardan foydalanish va navbatlashib keladigan fikrlashni qo‘llab-quvvatlaydi; hujjatlashtirilgan konteksti 256K, chiqish imkoniyati 64K.</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>North Mini Code 1.0 — Cohere’ning agentli dasturiy injiniring, terminal vazifalari va kod yaratish uchun modeli. U matn qabul qiladi va kod, tushuntirishlar hamda vosita so‘rovlari kabi matn chiqaradi. Ishlab chiqaruvchi uning vaznlarini Apache 2.0 ostida chiqargan va North kod-agent oilasidagi birinchi model deb ko‘rsatadi. U tasvirni tushunadigan model yoki qarorlarni ball bilan baholaydigan umumiy model emas, ixtisoslashgan dasturlash profilidir.</p><h4>Siyrak arxitektura va dasturlashga tayyorgarlik</h4><p>Model jami 30 milliard parametrga ega, taxminan 3 milliardi faol. Uning faqat dekoderli Transformer’i 128 ekspertdan iborat siyrak Mixture of Experts’dan foydalanadi; har token uchun sakkiz ekspert faollashadi va siyrak qatlamlardan oldin zich qatlam bor. Aylanma pozitsiyali sirpanuvchi oyna diqqati pozitsiya embeddinglarisiz global diqqat bilan 3:1 nisbatda navbatlashadi. Faol parametrlar raqami saqlanishi kerak bo‘lgan barcha vaznlarni emas, token uchun ishlatiladigan hisoblashni tavsiflaydi.</p><p>Cohere’ning keyingi o‘qitishi ikki bosqichli nazoratli nozik sozlashdan so‘ng tekshiriladigan mukofotlar bilan mustahkamlash orqali o‘qitishni qo‘llaydi; yo‘nalish dasturiy injiniring va terminal ishidir. Ishlab chiqaruvchi bitta qat’iy karkas o‘rniga bir nechta agent muhitida o‘qitishni tavsiflaydi. Bu vazifani kerakli xatti-harakat va mavjud vositalar atrofida tayyorlashni qo‘llab-quvvatlaydi, atrofdagi agent muhiti esa fayllarni olish, buyruqlarni bajarish va kuzatuvlarni qaytarishga mas’ul bo‘lib qoladi.</p><h4>Repozitoriy darajasidagi o‘zgarishni tayyorlang</h4><p>Joriy kod va xatti-harakatni, so‘ralgan o‘zgarishni, tegishli fayl yoki interfeys chegaralarini hamda tugallanishni tasdiqlaydigan dalillarni taqdim eting. Xato uchun kuzatilgan xatolik yoki muvaffaqiyatsiz kirish va kutilgan natijani kiriting. Yangi imkoniyat uchun kerakli xatti-harakat va moslik cheklovlarini ayting. Foydali yakuniy artefakt — tushuntirish va haqiqatan bajarilgan tekshiruvlar natijalari bilan taklif qilingan kod o‘zgarishi.</p><p>Misol so‘rov mavjud formatlarni saqlagan holda parserni qo‘shimcha qo‘llab-quvvatlanadigan kirishga yangilashni so‘rashi mumkin. Vazifaga xos namunaviy kirish ma’lumotlarini va parser xatti-harakatini belgilaydigan repozitoriy qismini ko‘rsating. Model kod va vosita kuzatuvlari orqali o‘zgarishni ishlab chiqishi mumkin; yaratilgan patch yoki buyruq ishlashi kerak degan bayonot buyruq muvaffaqiyatli bajarilganiga dalil emas.</p><h4>Terminal vositalari va tuzilmali kuzatuvlar</h4><p>Modelning o‘z kartasi vositalardan foydalanishga o‘qitishni hujjatlashtiradi va chat shabloni orqali JSON-schema vosita tavsiflarini tavsiya etadi. Vosita maqsadi va argumentlarini aniq tavsiflang. Buyruq bajarish vositasi haqiqiy chiqish va holatni, fayl tekshirish vositasi esa keyingi qadamga kerakli materialni qaytarishi mumkin. Keyingi tahlil kerakli kuzatuvdan foydalanishi uchun har bir vosita natijasini chaqiruv identifikatori bilan bog‘lab saqlang.</p><p>Ishlab chiqaruvchi misoli vosita chaqiruvi va yordamchining mulohazasini tarixda saqlaydi, vositani bajaradi va yana generatsiya qilishdan oldin natijasini qo‘shadi. Uning o‘z shabloni misolida vosita natijasi uchun tuzilmali lug‘at ishlatiladi. Har bir aloqasiz API vosita natijalarini bir xil serializatsiya qiladi deb taxmin qilish o‘rniga, shu ifodani hujjatlashtirilgan integratsiyaga muvofiq saqlang. Vosita argumentlarini tavsiflaydigan JSON sxemasi ixtiyoriy sxema bilan cheklangan yakuniy chiqish qo‘llab-quvvatlanadi degan da’vodan farq qiladi.</p><h4>Navbatlashib keladigan fikrlash va ko‘p navbatli tarix</h4><p>North Mini Code navbatlashib keladigan fikrlashni qo‘llab-quvvatlaydi; ishlab chiqaruvchi agentli ish uchun uni yoqishni tavsiya etadi. Model yaratgan fikrlash mazmuni va vosita chaqiruvlarini keyingi agent qadamlari hamda suhbat navbatlariga olib o‘ting. O‘z misolida yordamchi xabari bilan reasoning maydoni saqlanadi va undan keyin mos vosita kuzatuvi qaytariladi. Bu model keyin nimani tekshirish yoki o‘zgartirishni tanlashda ishlatgan ma’lumotni saqlaydi.</p><p>Joriy maqsad, manba materiali va haqiqiy kuzatuvlarni vazifa tarixida saqlang. Uzunroq repozitoriy vazifasida yakuniy natijani o‘zgargan xatti-harakat va foydali artefakt atrofida umumlashtiring, shu bilan birga ko‘rib chiqish uchun kerakli dalillarni qoldiring. Navbatlashib keladigan mulohaza qisqa ko‘rinadigan javob tahlilsiz olinganini anglatmaydi va model tasvirlagan amal allaqachon yuz berganini ham tasdiqlamaydi.</p><h4>Alohida kod va tushuntirish vazifalari</h4><p>Ishlab chiqaruvchi agent siklidan tashqaridagi ilmiy dasturlash va algoritmik mulohazani ham ko‘rsatadi. Masala ta’rifi, kirish va chiqish formati, cheklovlar, tegishli sonli farazlar va kutilgan chegaraviy xatti-harakatni bering. Kerakli artefakt shu bo‘lsa, to‘liq funksiya yoki dastur hamda o‘quvchiga mos darajadagi tushuntirishni so‘rang.</p><p>Kodni tushuntirish uchun amalga oshirishni va aniqlashtiriladigan muayyan xatti-harakat yoki bog‘liqlikni taqdim eting. Ma’lumot vizualizatsiyasi kodi uchun grafik maqsadini noaniq qoldirmasdan, berilgan maydonlar va ko‘zlangan taqqoslashni belgilang. Ishlab chiqaruvchining ishlab chiqish misollarida kodni tushuntirish, tahrirlash, vizualizatsiya va spetsifikatsiyadan amalga oshirish bor. Bular har bir repozitoriy yoki framework uchun to‘g‘ri natija va’dasi emas, kod yaratish yoki o‘zgartirishning vazifa andozalaridir.</p><h4>Kontekst, chiqish va generatsiya sozlamalari</h4><p>Ishlab chiqaruvchining model kartasi va API sahifasi 256K tokenli kontekst oynasi va ko‘pi bilan 64K tokenli chiqishni ko‘rsatadi. Hajmli repozitoriy materialini shu alohida imkoniyatlar va yakuniy artefakt o‘lchamiga qarab tayyorlang. Manba chegaralari va identifikatorlarini buzmasdan saqlang, katta oyna maqsadli topshiriq zaruratini yo‘qotadi deb taxmin qilish o‘rniga, tegishli bo‘lmagan materialni olib tashlang.</p><p>O‘z model kartasi generatsiya uchun temperature 1.0 va top_p 0.95 ni tavsiya qiladi hamda matn va vosita jarayonlarida generatsiya prompti bilan birga model chat shablonidan foydalanadi. Misollardagi chiqish chegaralari shu misollar sozlamalaridir, modelning e’lon qilingan eng katta chegarasi o‘rnini bosmaydi. Cohere BF16 vaznlari va alohida nomlangan FP8 artefaktini e’lon qiladi. Joylashtirishga tayyorlanayotganda mos artefaktni tanlang.</p><p>Foydali North Mini Code natijasi — taqdim etilgan talablarga bog‘langan, tekshirish mumkin bo‘lgan kod artefakti yoki texnik tushuntirish. Natijani asl xatti-harakat va haqiqiy vosita chiqishi bilan taqqoslang, kodga ta’sir qiladigan farazlarni tekshiring va ko‘rib chiqish uchun kerakli manba hamda kuzatuvlarni saqlang. Faqat matnli dasturlash modeli mulohaza va yaratilgan mazmunni beradi; bu takliflarni tugallangan dasturiy vazifaga aylantiradigan amallarni atrofdagi ilova bajaradi.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Ailoot da mavjud · kirish ma’lumotlari va usullar</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · Anthropic Messages</b> <code>POST /v1/messages</code></summary><dl class=\"method-capabilities\"><div><dt>Kirish</dt><dd><code>text</code></dd></div><div><dt>Chiqish</dt><dd><code>text</code></dd></div><div><dt>Kontekst</dt><dd>256 000 tokens</dd></div><div><dt>Eng katta chiqish</dt><dd>64 000 tokens</dd></div><div><dt>Chiqish formati</dt><dd>JSON</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Maydon</th><th>Tur</th><th>Talab</th><th>Qiymatlar va cheklovlar</th><th>Standart</th></tr></thead><tbody><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>string</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>cohere/north-mini-code:free</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">messages</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>array</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">stream</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>boolean</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>false</div></td><td data-cell-label=\"Standart\" data-default=\"known\"><span class=\"card-cell-label\">Standart</span>false</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">system</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></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">max_tokens</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>integer</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>Eng kam: 1</div><div>Eng ko‘p: 64 000</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">temperature</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>number</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><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">top_p</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>number</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><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">top_k</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>integer</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>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><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">stop_sequences</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>array</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>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><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">metadata</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>object</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></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>model, messages, max_tokens</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>optional</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>stream, system, temperature, top_p, top_k, stop_sequences, metadata</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>conditions</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>Use literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method., The complete encoded JSON request must not exceed 256000 bytes.</td></tr></tbody></table></div><p>Hayot sikli: <code>synchronous_json</code></p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Tariflar</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.</p><dl data-price-conditions><dt>Tezkor rejim</dt><dd>Standart tarif <span class=\"note-s\">Tezkor rejim tanlanganda</span></dd><dt>Flex rejimi</dt><dd>Standart tarif <span class=\"note-s\">flex rejimi tanlanganda</span></dd><dt>Maksimal fikrlash darajasi</dt><dd>Standart tarif <span class=\"note-s\">Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda</span></dd><dt>Faqat matn uchun nol tariflar</dt><dd>Text input and output only. Cache, tools, media and streaming are unavailable. <span class=\"note-s\">Faqat matnli kirish va chiqish uchun</span></dd></dl></div><div data-declared-tariff-pricing><h4>Ailoot tariflari</h4><h4>Sozlamalar bo‘yicha narxlar</h4><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Sozlama</th><th>Tariflar jadvali</th><th>To‘lov</th></tr></thead><tbody><tr><th data-cell-label=\"Sozlama\" scope=\"row\"><span class=\"card-cell-label\">Sozlama</span>Tokenlar uchun bazaviy tariflar</th><td data-cell-label=\"Tariflar jadvali\"><span class=\"card-cell-label\">Tariflar jadvali</span>Asosiy tarif</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Kirish · Kirish tokenlari</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Chiqish · Chiqish tokenlari</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshdan o‘qish</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish, 1 soat</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. <a href=\"/docs/uz/billing/reserve/\">Summani band qilish va to‘lovni hisoblash tartibi →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">So‘rov namunalari</h3><h4>Ailoot Ultra · Anthropic Messages</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kod variantlari\"><button class=\"cg-tab\" id=\"model-code-45-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-45-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · Bir marta yarating va natijani to‘liq saqlang</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kodni nusxalash\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-45-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-45-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nexport AILOOT_API_KEY\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np=json.loads(&#39;{&quot;model&quot;: &quot;cohere/north-mini-code:free&quot;, &quot;messages&quot;: [{&quot;role&quot;: &quot;user&quot;, &quot;content&quot;: &quot;Summarize the supplied text in three concise points.&quot;}], &quot;stream&quot;: false, &quot;max_tokens&quot;: 256}&#39;)\n\nPath(&quot;request.json&quot;).write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Natijalarni olish va saqlash</h3><h4>Ailoot Ultra · Anthropic Messages</h4><p class=\"note-s\">JSON</p><div class=\"card-result-process\" data-all-results><h5>Barcha tayyor natijalarni saqlash</h5><p class=\"note-s\">Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.</p><p class=\"note-s\">Retain the complete response, all actual results, original identifiers, usage and response headers.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Asl javobni tekshirish kerak bo‘lsa</h5><p class=\"note-s\">Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.</p></div></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=cohere%2Fnorth-mini-code%3Afree&amp;route=Ultra&amp;caller=cohere%2Fnorth-mini-code%3Afree&amp;fmt=messages\"><code>cohere/north-mini-code:free</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=cohere%2Fnorth-mini-code%3Afree&amp;route=Ultra&amp;caller=cohere%2Fnorth-mini-code%3Afree&amp;fmt=messages\"><code>cohere/north-mini-code:free</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "cohere/north-mini-code:free",
        "fmt": "messages",
        "http": "POST",
        "path": "/v1/messages",
        "request_model_id": "cohere/north-mini-code:free",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|messages|/v1/messages|cohere%2Fnorth-mini-code%3Afree",
      "ordinal": 1,
      "rawMethod": {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "example_body": {
              "max_tokens": 256,
              "messages": [
                {
                  "content": "Summarize the supplied text in three concise points.",
                  "role": "user"
                }
              ],
              "model": "cohere/north-mini-code:free",
              "stream": false
            },
            "lifecycle": {
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/messages"
              },
              "mode": "synchronous_json",
              "status": [],
              "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
              "family": "text",
              "format": "JSON"
            },
            "parameters": [
              {
                "default_known": false,
                "enum": [
                  "cohere/north-mini-code:free"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "items": {
                  "additionalProperties": false,
                  "properties": {
                    "content": {
                      "type": "string"
                    },
                    "role": {
                      "enum": [
                        "user",
                        "assistant"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "role",
                    "content"
                  ],
                  "type": "object"
                },
                "minItems": 1,
                "name": "messages",
                "required": true,
                "type": "array"
              },
              {
                "default": false,
                "default_known": true,
                "enum": [
                  false
                ],
                "enum_known": true,
                "name": "stream",
                "required": false,
                "type": "boolean"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "system",
                "required": false,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maximum": 64000,
                "minimum": 1,
                "name": "max_tokens",
                "required": true,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "temperature",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "top_p",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "top_k",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "items": {
                  "type": "string"
                },
                "name": "stop_sequences",
                "required": false,
                "type": "array"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "metadata",
                "required": false,
                "type": "object"
              }
            ],
            "request_schema": {
              "additionalProperties": false,
              "properties": {
                "max_tokens": {
                  "maximum": 64000,
                  "minimum": 1,
                  "type": "integer"
                },
                "messages": {
                  "items": {
                    "additionalProperties": false,
                    "properties": {
                      "content": {
                        "type": "string"
                      },
                      "role": {
                        "enum": [
                          "user",
                          "assistant"
                        ],
                        "type": "string"
                      }
                    },
                    "required": [
                      "role",
                      "content"
                    ],
                    "type": "object"
                  },
                  "minItems": 1,
                  "type": "array"
                },
                "metadata": {
                  "type": "object"
                },
                "model": {
                  "enum": [
                    "cohere/north-mini-code:free"
                  ],
                  "type": "string"
                },
                "stop_sequences": {
                  "items": {
                    "type": "string"
                  },
                  "type": "array"
                },
                "stream": {
                  "default": false,
                  "enum": [
                    false
                  ],
                  "type": "boolean"
                },
                "system": {
                  "type": "string"
                },
                "temperature": {
                  "type": "number"
                },
                "top_k": {
                  "type": "integer"
                },
                "top_p": {
                  "type": "number"
                }
              },
              "required": [
                "model",
                "messages",
                "max_tokens"
              ],
              "type": "object"
            },
            "schema_template": {
              "body": {
                "max_tokens": 256,
                "messages": [
                  {
                    "content": "Summarize the supplied text in three concise points.",
                    "role": "user"
                  }
                ],
                "model": "cohere/north-mini-code:free",
                "stream": false
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Use literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method.",
              "The complete encoded JSON request must not exceed 256000 bytes."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [
              "stream",
              "system",
              "temperature",
              "top_p",
              "top_k",
              "stop_sequences",
              "metadata"
            ],
            "required": [
              "model",
              "messages",
              "max_tokens"
            ]
          },
          "lifecycle": {
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/messages"
            },
            "mode": "synchronous_json",
            "status": [],
            "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/messages"
          },
          "method_aliases": [],
          "output": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "family": "text",
            "format": "JSON"
          }
        },
        "ctx": 256000,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "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}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"cohere/north-mini-code:free\", \"messages\": [{\"role\": \"user\", \"content\": \"Summarize the supplied text in three concise points.\"}], \"stream\": false, \"max_tokens\": 256}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "anthropic",
        "fast_multiplier": 1,
        "flex_multiplier": 1,
        "fmt": "messages",
        "http": "POST",
        "img_in": null,
        "img_out": null,
        "in": 0,
        "input": [
          "text"
        ],
        "label": "Anthropic Messages",
        "max_out": 64000,
        "max_reasoning_effort_multiplier": 1,
        "method_aliases": [],
        "out": 0,
        "output": [
          "text"
        ],
        "path": "/v1/messages",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Standard rate",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Standard rate",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Standard rate",
            "when": "When maximum reasoning effort uses the default adjustment"
          },
          {
            "label": "Text-only zero rates",
            "value": "Text input and output only. Cache, tools, media and streaming are unavailable.",
            "when": "For text-only input and output"
          }
        ],
        "pricing": {
          "billing_mode": "token",
          "cache_read_price": null,
          "cache_write_1h_price": null,
          "cache_write_price": null,
          "fast_multiplier": 1,
          "flex_multiplier": 1,
          "image_input_price": null,
          "image_output_price": null,
          "input_price": 0,
          "intervals": [],
          "max_reasoning_effort_multiplier": 1,
          "output_price": 0,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "request_model_id": "cohere/north-mini-code:free",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "unit": "token",
        "units": [
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "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",
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    "description": "North Mini Code 1.0 — Cohere’ning kod yaratish, repozitoriy o‘zgarishlari va terminal orqali boshqariladigan agent vazifalari uchun faqat matnli modeli. Jami 30B/faol 3B parametrli siyrak dizayni vositalardan foydalanish va navbatlashib keladigan fikrlashni qo‘llab-quvvatlaydi; hujjatlashtirilgan konteksti 256K, chiqish imkoniyati 64K.",
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    "about": "North Mini Code 1.0 — Cohere’ning agentli dasturiy injiniring, terminal vazifalari va kod yaratish uchun modeli. U matn qabul qiladi va kod, tushuntirishlar hamda vosita so‘rovlari kabi matn chiqaradi. Ishlab chiqaruvchi uning vaznlarini Apache 2.0 ostida chiqargan va North kod-agent oilasidagi birinchi model deb ko‘rsatadi. U tasvirni tushunadigan model yoki qarorlarni ball bilan baholaydigan umumiy model emas, ixtisoslashgan dasturlash profilidir.\n\n### Siyrak arxitektura va dasturlashga tayyorgarlik\n\nModel jami 30 milliard parametrga ega, taxminan 3 milliardi faol. Uning faqat dekoderli Transformer’i 128 ekspertdan iborat siyrak Mixture of Experts’dan foydalanadi; har token uchun sakkiz ekspert faollashadi va siyrak qatlamlardan oldin zich qatlam bor. Aylanma pozitsiyali sirpanuvchi oyna diqqati pozitsiya embeddinglarisiz global diqqat bilan 3:1 nisbatda navbatlashadi. Faol parametrlar raqami saqlanishi kerak bo‘lgan barcha vaznlarni emas, token uchun ishlatiladigan hisoblashni tavsiflaydi.\n\nCohere’ning keyingi o‘qitishi ikki bosqichli nazoratli nozik sozlashdan so‘ng tekshiriladigan mukofotlar bilan mustahkamlash orqali o‘qitishni qo‘llaydi; yo‘nalish dasturiy injiniring va terminal ishidir. Ishlab chiqaruvchi bitta qat’iy karkas o‘rniga bir nechta agent muhitida o‘qitishni tavsiflaydi. Bu vazifani kerakli xatti-harakat va mavjud vositalar atrofida tayyorlashni qo‘llab-quvvatlaydi, atrofdagi agent muhiti esa fayllarni olish, buyruqlarni bajarish va kuzatuvlarni qaytarishga mas’ul bo‘lib qoladi.\n\n### Repozitoriy darajasidagi o‘zgarishni tayyorlang\n\nJoriy kod va xatti-harakatni, so‘ralgan o‘zgarishni, tegishli fayl yoki interfeys chegaralarini hamda tugallanishni tasdiqlaydigan dalillarni taqdim eting. Xato uchun kuzatilgan xatolik yoki muvaffaqiyatsiz kirish va kutilgan natijani kiriting. Yangi imkoniyat uchun kerakli xatti-harakat va moslik cheklovlarini ayting. Foydali yakuniy artefakt — tushuntirish va haqiqatan bajarilgan tekshiruvlar natijalari bilan taklif qilingan kod o‘zgarishi.\n\nMisol so‘rov mavjud formatlarni saqlagan holda parserni qo‘shimcha qo‘llab-quvvatlanadigan kirishga yangilashni so‘rashi mumkin. Vazifaga xos namunaviy kirish ma’lumotlarini va parser xatti-harakatini belgilaydigan repozitoriy qismini ko‘rsating. Model kod va vosita kuzatuvlari orqali o‘zgarishni ishlab chiqishi mumkin; yaratilgan patch yoki buyruq ishlashi kerak degan bayonot buyruq muvaffaqiyatli bajarilganiga dalil emas.\n\n### Terminal vositalari va tuzilmali kuzatuvlar\n\nModelning o‘z kartasi vositalardan foydalanishga o‘qitishni hujjatlashtiradi va chat shabloni orqali JSON-schema vosita tavsiflarini tavsiya etadi. Vosita maqsadi va argumentlarini aniq tavsiflang. Buyruq bajarish vositasi haqiqiy chiqish va holatni, fayl tekshirish vositasi esa keyingi qadamga kerakli materialni qaytarishi mumkin. Keyingi tahlil kerakli kuzatuvdan foydalanishi uchun har bir vosita natijasini chaqiruv identifikatori bilan bog‘lab saqlang.\n\nIshlab chiqaruvchi misoli vosita chaqiruvi va yordamchining mulohazasini tarixda saqlaydi, vositani bajaradi va yana generatsiya qilishdan oldin natijasini qo‘shadi. Uning o‘z shabloni misolida vosita natijasi uchun tuzilmali lug‘at ishlatiladi. Har bir aloqasiz API vosita natijalarini bir xil serializatsiya qiladi deb taxmin qilish o‘rniga, shu ifodani hujjatlashtirilgan integratsiyaga muvofiq saqlang. Vosita argumentlarini tavsiflaydigan JSON sxemasi ixtiyoriy sxema bilan cheklangan yakuniy chiqish qo‘llab-quvvatlanadi degan da’vodan farq qiladi.\n\n### Navbatlashib keladigan fikrlash va ko‘p navbatli tarix\n\nNorth Mini Code navbatlashib keladigan fikrlashni qo‘llab-quvvatlaydi; ishlab chiqaruvchi agentli ish uchun uni yoqishni tavsiya etadi. Model yaratgan fikrlash mazmuni va vosita chaqiruvlarini keyingi agent qadamlari hamda suhbat navbatlariga olib o‘ting. O‘z misolida yordamchi xabari bilan reasoning maydoni saqlanadi va undan keyin mos vosita kuzatuvi qaytariladi. Bu model keyin nimani tekshirish yoki o‘zgartirishni tanlashda ishlatgan ma’lumotni saqlaydi.\n\nJoriy maqsad, manba materiali va haqiqiy kuzatuvlarni vazifa tarixida saqlang. Uzunroq repozitoriy vazifasida yakuniy natijani o‘zgargan xatti-harakat va foydali artefakt atrofida umumlashtiring, shu bilan birga ko‘rib chiqish uchun kerakli dalillarni qoldiring. Navbatlashib keladigan mulohaza qisqa ko‘rinadigan javob tahlilsiz olinganini anglatmaydi va model tasvirlagan amal allaqachon yuz berganini ham tasdiqlamaydi.\n\n### Alohida kod va tushuntirish vazifalari\n\nIshlab chiqaruvchi agent siklidan tashqaridagi ilmiy dasturlash va algoritmik mulohazani ham ko‘rsatadi. Masala ta’rifi, kirish va chiqish formati, cheklovlar, tegishli sonli farazlar va kutilgan chegaraviy xatti-harakatni bering. Kerakli artefakt shu bo‘lsa, to‘liq funksiya yoki dastur hamda o‘quvchiga mos darajadagi tushuntirishni so‘rang.\n\nKodni tushuntirish uchun amalga oshirishni va aniqlashtiriladigan muayyan xatti-harakat yoki bog‘liqlikni taqdim eting. Ma’lumot vizualizatsiyasi kodi uchun grafik maqsadini noaniq qoldirmasdan, berilgan maydonlar va ko‘zlangan taqqoslashni belgilang. Ishlab chiqaruvchining ishlab chiqish misollarida kodni tushuntirish, tahrirlash, vizualizatsiya va spetsifikatsiyadan amalga oshirish bor. Bular har bir repozitoriy yoki framework uchun to‘g‘ri natija va’dasi emas, kod yaratish yoki o‘zgartirishning vazifa andozalaridir.\n\n### Kontekst, chiqish va generatsiya sozlamalari\n\nIshlab chiqaruvchining model kartasi va API sahifasi 256K tokenli kontekst oynasi va ko‘pi bilan 64K tokenli chiqishni ko‘rsatadi. Hajmli repozitoriy materialini shu alohida imkoniyatlar va yakuniy artefakt o‘lchamiga qarab tayyorlang. Manba chegaralari va identifikatorlarini buzmasdan saqlang, katta oyna maqsadli topshiriq zaruratini yo‘qotadi deb taxmin qilish o‘rniga, tegishli bo‘lmagan materialni olib tashlang.\n\nO‘z model kartasi generatsiya uchun temperature 1.0 va top_p 0.95 ni tavsiya qiladi hamda matn va vosita jarayonlarida generatsiya prompti bilan birga model chat shablonidan foydalanadi. Misollardagi chiqish chegaralari shu misollar sozlamalaridir, modelning e’lon qilingan eng katta chegarasi o‘rnini bosmaydi. Cohere BF16 vaznlari va alohida nomlangan FP8 artefaktini e’lon qiladi. 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        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"cohere/north-mini-code:free\", \"messages\": [{\"role\": \"user\", \"content\": \"Summarize the supplied text in three concise points.\"}], \"stream\": false}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": 1,
        "flex_multiplier": 1,
        "fmt": "chat",
        "hints": [
          "Send exact model ID with messages.",
          "Context length is not an output cap.",
          "A text file may supply literal text; image/audio/file-object inputs need exact binding."
        ],
        "http": "POST",
        "img_in": null,
        "img_out": null,
        "in": 0,
        "input": [
          "text"
        ],
        "label": "OpenAI Chat",
        "max_out": 64000,
        "max_reasoning_effort_multiplier": 1,
        "method_aliases": [],
        "out": 0,
        "output": [
          "text"
        ],
        "path": "/v1/chat/completions",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Standard rate",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Standard rate",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Standard rate",
            "when": "When maximum reasoning effort uses the default adjustment"
          },
          {
            "label": "Explicit cache pricing",
            "value": "Not enabled",
            "when": "When explicit cache is requested"
          },
          {
            "label": "Text-only zero rates",
            "value": "Text input and output only. Cache, tools, media and streaming are unavailable.",
            "when": "For text-only input and output"
          }
        ],
        "pricing": {
          "allow_explicit_cache": false,
          "billing_mode": "token",
          "cache_read_price": null,
          "cache_write_1h_price": null,
          "cache_write_price": null,
          "fast_multiplier": 1,
          "flex_multiplier": 1,
          "image_input_price": null,
          "image_output_price": null,
          "input_price": 0,
          "intervals": [],
          "max_reasoning_effort_multiplier": 1,
          "output_price": 0,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "request_model_id": "cohere/north-mini-code:free",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "unit": "token",
        "units": [
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "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"
          }
        ]
      },
      {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "example_body": {
              "max_tokens": 256,
              "messages": [
                {
                  "content": "Summarize the supplied text in three concise points.",
                  "role": "user"
                }
              ],
              "model": "cohere/north-mini-code:free",
              "stream": false
            },
            "lifecycle": {
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/messages"
              },
              "mode": "synchronous_json",
              "status": [],
              "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
              "family": "text",
              "format": "JSON"
            },
            "parameters": [
              {
                "default_known": false,
                "enum": [
                  "cohere/north-mini-code:free"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "items": {
                  "additionalProperties": false,
                  "properties": {
                    "content": {
                      "type": "string"
                    },
                    "role": {
                      "enum": [
                        "user",
                        "assistant"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "role",
                    "content"
                  ],
                  "type": "object"
                },
                "minItems": 1,
                "name": "messages",
                "required": true,
                "type": "array"
              },
              {
                "default": false,
                "default_known": true,
                "enum": [
                  false
                ],
                "enum_known": true,
                "name": "stream",
                "required": false,
                "type": "boolean"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "system",
                "required": false,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maximum": 64000,
                "minimum": 1,
                "name": "max_tokens",
                "required": true,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "temperature",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "top_p",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "top_k",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "items": {
                  "type": "string"
                },
                "name": "stop_sequences",
                "required": false,
                "type": "array"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "metadata",
                "required": false,
                "type": "object"
              }
            ],
            "request_schema": {
              "additionalProperties": false,
              "properties": {
                "max_tokens": {
                  "maximum": 64000,
                  "minimum": 1,
                  "type": "integer"
                },
                "messages": {
                  "items": {
                    "additionalProperties": false,
                    "properties": {
                      "content": {
                        "type": "string"
                      },
                      "role": {
                        "enum": [
                          "user",
                          "assistant"
                        ],
                        "type": "string"
                      }
                    },
                    "required": [
                      "role",
                      "content"
                    ],
                    "type": "object"
                  },
                  "minItems": 1,
                  "type": "array"
                },
                "metadata": {
                  "type": "object"
                },
                "model": {
                  "enum": [
                    "cohere/north-mini-code:free"
                  ],
                  "type": "string"
                },
                "stop_sequences": {
                  "items": {
                    "type": "string"
                  },
                  "type": "array"
                },
                "stream": {
                  "default": false,
                  "enum": [
                    false
                  ],
                  "type": "boolean"
                },
                "system": {
                  "type": "string"
                },
                "temperature": {
                  "type": "number"
                },
                "top_k": {
                  "type": "integer"
                },
                "top_p": {
                  "type": "number"
                }
              },
              "required": [
                "model",
                "messages",
                "max_tokens"
              ],
              "type": "object"
            },
            "schema_template": {
              "body": {
                "max_tokens": 256,
                "messages": [
                  {
                    "content": "Summarize the supplied text in three concise points.",
                    "role": "user"
                  }
                ],
                "model": "cohere/north-mini-code:free",
                "stream": false
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Use literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method.",
              "The complete encoded JSON request must not exceed 256000 bytes."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [
              "stream",
              "system",
              "temperature",
              "top_p",
              "top_k",
              "stop_sequences",
              "metadata"
            ],
            "required": [
              "model",
              "messages",
              "max_tokens"
            ]
          },
          "lifecycle": {
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/messages"
            },
            "mode": "synchronous_json",
            "status": [],
            "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/messages"
          },
          "method_aliases": [],
          "output": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "family": "text",
            "format": "JSON"
          }
        },
        "ctx": 256000,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "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}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"cohere/north-mini-code:free\", \"messages\": [{\"role\": \"user\", \"content\": \"Summarize the supplied text in three concise points.\"}], \"stream\": false, \"max_tokens\": 256}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "anthropic",
        "fast_multiplier": 1,
        "flex_multiplier": 1,
        "fmt": "messages",
        "http": "POST",
        "img_in": null,
        "img_out": null,
        "in": 0,
        "input": [
          "text"
        ],
        "label": "Anthropic Messages",
        "max_out": 64000,
        "max_reasoning_effort_multiplier": 1,
        "method_aliases": [],
        "out": 0,
        "output": [
          "text"
        ],
        "path": "/v1/messages",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Standard rate",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Standard rate",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Standard rate",
            "when": "When maximum reasoning effort uses the default adjustment"
          },
          {
            "label": "Text-only zero rates",
            "value": "Text input and output only. Cache, tools, media and streaming are unavailable.",
            "when": "For text-only input and output"
          }
        ],
        "pricing": {
          "billing_mode": "token",
          "cache_read_price": null,
          "cache_write_1h_price": null,
          "cache_write_price": null,
          "fast_multiplier": 1,
          "flex_multiplier": 1,
          "image_input_price": null,
          "image_output_price": null,
          "input_price": 0,
          "intervals": [],
          "max_reasoning_effort_multiplier": 1,
          "output_price": 0,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "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,
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                "side": "in",
                "unit": "one_hour_cache_creation_token"
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            ]
          }
        ],
        "request_model_id": "cohere/north-mini-code:free",
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          {
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          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
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            "key": "cache_read_price",
            "label": "Cache read",
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          },
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            "side": "in",
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          },
          {
            "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,
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            "unit": "one_hour_cache_creation_token"
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        ]
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    ],
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        "canonical_model_id": "cohere/north-mini-code:free",
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        "route_label": "Ultra"
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    ],
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    "price": {
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      "out": 0,
      "out_label": null,
      "scope_label": "Token rates",
      "sort_in": 0,
      "sort_out": 0,
      "varies": true
    },
    "short": "North Mini Code 1.0 — Cohere’ning kod yaratish, repozitoriy o‘zgarishlari va terminal orqali boshqariladigan agent vazifalari uchun faqat matnli modeli. Jami 30B/faol 3B parametrli siyrak dizayni vositalardan foydalanish va navbatlashib keladigan fikrlashni qo‘llab-quvvatlaydi; hujjatlashtirilgan konteksti 256K, chiqish imkoniyati 64K."
  },
  "renderer_schema": {
    "method_order": "Original DTO methods order; every exact route/format/path/caller survives.",
    "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers."
  },
  "representation": "exact-public-dto-and-native-renderer-html",
  "representationNotes": {
    "current_reference": {
      "about_json_pointer": "/aboutHtml",
      "methods": [
        {
          "contract_json_pointer": "/methods/0/rawMethod/contract",
          "html_json_pointer": "/methods/0/html",
          "method_ordinal": 0
        },
        {
          "contract_json_pointer": "/methods/1/rawMethod/contract",
          "html_json_pointer": "/methods/1/html",
          "method_ordinal": 1
        }
      ],
      "role": "current-semantic-reference"
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    "raw_input": {
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      "json_pointers": [
        "/rawModel",
        "/methods/0/rawMethod",
        "/methods/1/rawMethod"
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      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
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  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "North Mini Code 1.0 — Cohere’ning kod yaratish, repozitoriy o‘zgarishlari va terminal orqali boshqariladigan agent vazifalari uchun faqat matnli modeli. Jami 30B/faol 3B parametrli siyrak dizayni vositalardan foydalanish va navbatlashib keladigan fikrlashni qo‘llab-quvvatlaydi; hujjatlashtirilgan konteksti 256K, chiqish imkoniyati 64K.",
  "source": {
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    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
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}