{
  "aboutHtml": "<p>Parakeet TDT 0.6B v3 — NVIDIA’ning 600 million parametrli, ko‘p tilli nutqni tanish modeli. U faqat ingliz tilida ishlaydigan v2 modelining imkoniyatlarini 25 ta Yevropa tiliga kengaytiradi va alohida til ko‘rsatmasisiz audio tilini avtomatik aniqlaydi. Natija — tinish belgilari va bosh harflar qo‘yilgan nutq transkripti.</p><p>Qo‘llab-quvvatlanadigan tillar: bolgar, xorvat, chex, daniya, niderland, ingliz, eston, fin, fransuz, nemis, yunon, venger, italyan, latish, litva, malta, polyak, portugal, rumin, slovak, sloven, ispan, shved, rus va ukrain tillari. Bu ro‘yxat v3 nashriga tegishli; Parakeet’ning boshqa dekoder turlari va til variantlari alohida modellardir.</p><p>Arxitektura FastConformer enkoderini token va davomiylikni bashorat qiluvchi transducer dekoderi bilan birlashtiradi. Enkoder akustik signalni ichki ifodalarga aylantiradi; dekoder esa matn tokenlarini audio kadrlar bo‘ylab oldinga o‘tish uchun kerakli davomiyliklar bilan birga bashorat qiladi. Shu TDT xatti-harakati uni oilaning CTC va odatiy RNN-T dekoderlaridan ajratib turadi.</p><p>16 kHz chastotada diskretlangan bir kanalli audio tayyorlang. Ishlab chiqaruvchining bevosita kirish formatlari WAV va FLAC; amalga oshirish misollarida esa tovush to‘lqinini tanishga tayyorlash uchun protsessordan foydalaniladi. Transkriptni tekshirish yoki manbaga moslashtirish uchun yozuv identifikatori va asl audioni qaytgan matn bilan birga saqlang.</p><p>Vaqt belgilarini qo‘shish tanilgan nutqqa vaqt ma’lumotlarini biriktiradi. NVIDIA’ning NeMo misoli vaqt belgilarini yaratish yoqilganda belgi, so‘z va segment vaqtlarini qaytaradi. Subtitr yoki arxiv ilovasi parchani yozuvga bog‘lash uchun segment chegaralaridan, muayyan iborani topish uchun esa so‘z vaqtlaridan foydalanishi mumkin. Transkript va uning vaqt maydonlari natijaning turli qismlari bo‘lib, o‘zaro bog‘langan holda saqlanishi kerak.</p><p>Uzun yozuvlarda attention sozlamasi muhim. Ishlab chiqaruvchi 80 GB A100 da full attention bilan 24 daqiqagacha, local attention bilan esa uch soatgacha ishlashni tasvirlaydi. Uning uzun audio misolida enkoder chap va o‘ng konteksti cheklangan local attention rejimiga o‘tkaziladi. Bu davomiyliklar har bir joylashtirish uchun yagona shartsiz chegarani emas, ishlab chiqaruvchining muayyan sozlamalarini ifodalaydi.</p><p>Ishlab chiqaruvchi oqimda foydalanish uchun bo‘laklar bo‘yicha inference jarayonini ham e’lon qiladi. Misolda har bir bo‘lak uzunligi hamda uning atrofidagi chap va o‘ng audio konteksti belgilanadi. Bu qayta ishlash tartibi keshni hisobga oluvchi asl Nemotron oqimli modelidan alohidadir. Ilova yozuv transkriptini qismlar bo‘yicha yig‘ayotganda tanlangan tartibni va dastlabki vaqt asosini saqlashi kerak.</p><p>O‘qitish aralashmasiga insonlar matnga ko‘chirgan 10,000 soat nutq va psevdoyorliqlar bilan belgilangan 660,000 soat Granary ma’lumotlari kiradi; ularda tinish belgilari va bosh harflar saqlangan. Ishlab chiqaruvchi hujjatlashtirilgan model jarayoni orqali chiqarilgan ushbu nazorat nuqtasini boshqa nutq ma’lumotlari to‘plamida qo‘shimcha o‘qitishni ham qo‘llab-quvvatlaydi; moslashtirilgan nazorat nuqtasi asosiy v3 modelidan alohida bo‘lib qoladi. Shu sababli modelning matnli chiqishi kengroq ish jarayonidagi nutqni matnga aylantirish bosqichiga mos keladi. Uchrashuv arxivi transkriptni yozuvga biriktirishi, qidiruv ilovasi tanilgan parchani indekslashi, subtitr vositasi esa qaytgan vaqt metama’lumotlaridan foydalanishi mumkin.</p><p>Nutqni tanish sifati til, aksent, shovqin va nutq turiga qarab o‘zgaradi. Ishlab chiqaruvchi o‘qitish vaqtida uchramagan lug‘at birliklari tushib qolishi mumkinligini, alohida so‘zlar yoki tugallanmagan gaplar esa zaifroq kontekst berishini alohida ta’kidlaydi. Noaniq tanilgan matnni tasdiqlangan faktga aylantirish o‘rniga, ismlar va maxsus atamalarni tekshirish uchun asl audioni saqlang.</p><p>Foydali material — so‘ralgan vaqt ma’lumotlari qo‘shilgan transkript. Xulosalar, tarjimalar, so‘zlovchilar tahlili va amallar ilovaning alohida vazifalari bo‘lib, nutqni matnga aylantirish nomining o‘zi ularni anglatmaydi. v3 modelining aynan qaysi nashr ekani va ishlab chiqaruvchining attention rejimini boshqa nazorat nuqtalari hamda konvertatsiya qilingan yoki kvantlangan materiallardan ajratib saqlang.</p>",
  "aboutText": "Parakeet TDT 0.6B v3 — NVIDIA’ning 600 million parametrli, ko‘p tilli nutqni tanish modeli. U faqat ingliz tilida ishlaydigan v2 modelining imkoniyatlarini 25 ta Yevropa tiliga kengaytiradi va alohida til ko‘rsatmasisiz audio tilini avtomatik aniqlaydi. Natija — tinish belgilari va bosh harflar qo‘yilgan nutq transkripti.\n\nQo‘llab-quvvatlanadigan tillar: bolgar, xorvat, chex, daniya, niderland, ingliz, eston, fin, fransuz, nemis, yunon, venger, italyan, latish, litva, malta, polyak, portugal, rumin, slovak, sloven, ispan, shved, rus va ukrain tillari. Bu ro‘yxat v3 nashriga tegishli; Parakeet’ning boshqa dekoder turlari va til variantlari alohida modellardir.\n\nArxitektura FastConformer enkoderini token va davomiylikni bashorat qiluvchi transducer dekoderi bilan birlashtiradi. Enkoder akustik signalni ichki ifodalarga aylantiradi; dekoder esa matn tokenlarini audio kadrlar bo‘ylab oldinga o‘tish uchun kerakli davomiyliklar bilan birga bashorat qiladi. Shu TDT xatti-harakati uni oilaning CTC va odatiy RNN-T dekoderlaridan ajratib turadi.\n\n16 kHz chastotada diskretlangan bir kanalli audio tayyorlang. Ishlab chiqaruvchining bevosita kirish formatlari WAV va FLAC; amalga oshirish misollarida esa tovush to‘lqinini tanishga tayyorlash uchun protsessordan foydalaniladi. Transkriptni tekshirish yoki manbaga moslashtirish uchun yozuv identifikatori va asl audioni qaytgan matn bilan birga saqlang.\n\nVaqt belgilarini qo‘shish tanilgan nutqqa vaqt ma’lumotlarini biriktiradi. NVIDIA’ning NeMo misoli vaqt belgilarini yaratish yoqilganda belgi, so‘z va segment vaqtlarini qaytaradi. Subtitr yoki arxiv ilovasi parchani yozuvga bog‘lash uchun segment chegaralaridan, muayyan iborani topish uchun esa so‘z vaqtlaridan foydalanishi mumkin. Transkript va uning vaqt maydonlari natijaning turli qismlari bo‘lib, o‘zaro bog‘langan holda saqlanishi kerak.\n\nUzun yozuvlarda attention sozlamasi muhim. Ishlab chiqaruvchi 80 GB A100 da full attention bilan 24 daqiqagacha, local attention bilan esa uch soatgacha ishlashni tasvirlaydi. Uning uzun audio misolida enkoder chap va o‘ng konteksti cheklangan local attention rejimiga o‘tkaziladi. Bu davomiyliklar har bir joylashtirish uchun yagona shartsiz chegarani emas, ishlab chiqaruvchining muayyan sozlamalarini ifodalaydi.\n\nIshlab chiqaruvchi oqimda foydalanish uchun bo‘laklar bo‘yicha inference jarayonini ham e’lon qiladi. Misolda har bir bo‘lak uzunligi hamda uning atrofidagi chap va o‘ng audio konteksti belgilanadi. Bu qayta ishlash tartibi keshni hisobga oluvchi asl Nemotron oqimli modelidan alohidadir. Ilova yozuv transkriptini qismlar bo‘yicha yig‘ayotganda tanlangan tartibni va dastlabki vaqt asosini saqlashi kerak.\n\nO‘qitish aralashmasiga insonlar matnga ko‘chirgan 10,000 soat nutq va psevdoyorliqlar bilan belgilangan 660,000 soat Granary ma’lumotlari kiradi; ularda tinish belgilari va bosh harflar saqlangan. Ishlab chiqaruvchi hujjatlashtirilgan model jarayoni orqali chiqarilgan ushbu nazorat nuqtasini boshqa nutq ma’lumotlari to‘plamida qo‘shimcha o‘qitishni ham qo‘llab-quvvatlaydi; moslashtirilgan nazorat nuqtasi asosiy v3 modelidan alohida bo‘lib qoladi. Shu sababli modelning matnli chiqishi kengroq ish jarayonidagi nutqni matnga aylantirish bosqichiga mos keladi. Uchrashuv arxivi transkriptni yozuvga biriktirishi, qidiruv ilovasi tanilgan parchani indekslashi, subtitr vositasi esa qaytgan vaqt metama’lumotlaridan foydalanishi mumkin.\n\nNutqni tanish sifati til, aksent, shovqin va nutq turiga qarab o‘zgaradi. Ishlab chiqaruvchi o‘qitish vaqtida uchramagan lug‘at birliklari tushib qolishi mumkinligini, alohida so‘zlar yoki tugallanmagan gaplar esa zaifroq kontekst berishini alohida ta’kidlaydi. Noaniq tanilgan matnni tasdiqlangan faktga aylantirish o‘rniga, ismlar va maxsus atamalarni tekshirish uchun asl audioni saqlang.\n\nFoydali material — so‘ralgan vaqt ma’lumotlari qo‘shilgan transkript. Xulosalar, tarjimalar, so‘zlovchilar tahlili va amallar ilovaning alohida vazifalari bo‘lib, nutqni matnga aylantirish nomining o‘zi ularni anglatmaydi. v3 modelining aynan qaysi nashr ekani va ishlab chiqaruvchining attention rejimini boshqa nazorat nuqtalari hamda konvertatsiya qilingan yoki kvantlangan materiallardan ajratib saqlang.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">NV</span><h2 id=\"sheet-title\">NVIDIA: Parakeet TDT 0.6B v3</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Yopish\">×</button></div><div class=\"idline\"><span>NVIDIA /</span><code>nvidia/parakeet-tdt-0.6b-v3</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|transcriptions|/v1/audio/transcriptions|nvidia%2Fparakeet-tdt-0.6b-v3\">Nutqni tanish</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\">NVIDIA’ning Parakeet TDT 0.6B v3 modeli — tilni avtomatik aniqlaydigan, 25 ta Yevropa tili uchun mo‘ljallangan 600M parametrli nutqni matnga aylantirish modeli. U tinish belgilari qo‘yilgan transkriptlar yaratadi va so‘z hamda segment vaqt belgilarini qo‘llab-quvvatlaydi; uzun audio rejimlari ishlab chiqaruvchining attention sozlamalariga bog‘liq.</p><dl class=\"card-io\" data-card-io><div><dt>Qabul qilinadigan kirish ma’lumotlari</dt><dd>Audio</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>Parakeet TDT 0.6B v3 — NVIDIA’ning 600 million parametrli, ko‘p tilli nutqni tanish modeli. U faqat ingliz tilida ishlaydigan v2 modelining imkoniyatlarini 25 ta Yevropa tiliga kengaytiradi va alohida til ko‘rsatmasisiz audio tilini avtomatik aniqlaydi. Natija — tinish belgilari va bosh harflar qo‘yilgan nutq transkripti.</p><p>Qo‘llab-quvvatlanadigan tillar: bolgar, xorvat, chex, daniya, niderland, ingliz, eston, fin, fransuz, nemis, yunon, venger, italyan, latish, litva, malta, polyak, portugal, rumin, slovak, sloven, ispan, shved, rus va ukrain tillari. Bu ro‘yxat v3 nashriga tegishli; Parakeet’ning boshqa dekoder turlari va til variantlari alohida modellardir.</p><p>Arxitektura FastConformer enkoderini token va davomiylikni bashorat qiluvchi transducer dekoderi bilan birlashtiradi. Enkoder akustik signalni ichki ifodalarga aylantiradi; dekoder esa matn tokenlarini audio kadrlar bo‘ylab oldinga o‘tish uchun kerakli davomiyliklar bilan birga bashorat qiladi. Shu TDT xatti-harakati uni oilaning CTC va odatiy RNN-T dekoderlaridan ajratib turadi.</p><p>16 kHz chastotada diskretlangan bir kanalli audio tayyorlang. Ishlab chiqaruvchining bevosita kirish formatlari WAV va FLAC; amalga oshirish misollarida esa tovush to‘lqinini tanishga tayyorlash uchun protsessordan foydalaniladi. Transkriptni tekshirish yoki manbaga moslashtirish uchun yozuv identifikatori va asl audioni qaytgan matn bilan birga saqlang.</p><p>Vaqt belgilarini qo‘shish tanilgan nutqqa vaqt ma’lumotlarini biriktiradi. NVIDIA’ning NeMo misoli vaqt belgilarini yaratish yoqilganda belgi, so‘z va segment vaqtlarini qaytaradi. Subtitr yoki arxiv ilovasi parchani yozuvga bog‘lash uchun segment chegaralaridan, muayyan iborani topish uchun esa so‘z vaqtlaridan foydalanishi mumkin. Transkript va uning vaqt maydonlari natijaning turli qismlari bo‘lib, o‘zaro bog‘langan holda saqlanishi kerak.</p><p>Uzun yozuvlarda attention sozlamasi muhim. Ishlab chiqaruvchi 80 GB A100 da full attention bilan 24 daqiqagacha, local attention bilan esa uch soatgacha ishlashni tasvirlaydi. Uning uzun audio misolida enkoder chap va o‘ng konteksti cheklangan local attention rejimiga o‘tkaziladi. Bu davomiyliklar har bir joylashtirish uchun yagona shartsiz chegarani emas, ishlab chiqaruvchining muayyan sozlamalarini ifodalaydi.</p><p>Ishlab chiqaruvchi oqimda foydalanish uchun bo‘laklar bo‘yicha inference jarayonini ham e’lon qiladi. Misolda har bir bo‘lak uzunligi hamda uning atrofidagi chap va o‘ng audio konteksti belgilanadi. Bu qayta ishlash tartibi keshni hisobga oluvchi asl Nemotron oqimli modelidan alohidadir. Ilova yozuv transkriptini qismlar bo‘yicha yig‘ayotganda tanlangan tartibni va dastlabki vaqt asosini saqlashi kerak.</p><p>O‘qitish aralashmasiga insonlar matnga ko‘chirgan 10,000 soat nutq va psevdoyorliqlar bilan belgilangan 660,000 soat Granary ma’lumotlari kiradi; ularda tinish belgilari va bosh harflar saqlangan. Ishlab chiqaruvchi hujjatlashtirilgan model jarayoni orqali chiqarilgan ushbu nazorat nuqtasini boshqa nutq ma’lumotlari to‘plamida qo‘shimcha o‘qitishni ham qo‘llab-quvvatlaydi; moslashtirilgan nazorat nuqtasi asosiy v3 modelidan alohida bo‘lib qoladi. Shu sababli modelning matnli chiqishi kengroq ish jarayonidagi nutqni matnga aylantirish bosqichiga mos keladi. Uchrashuv arxivi transkriptni yozuvga biriktirishi, qidiruv ilovasi tanilgan parchani indekslashi, subtitr vositasi esa qaytgan vaqt metama’lumotlaridan foydalanishi mumkin.</p><p>Nutqni tanish sifati til, aksent, shovqin va nutq turiga qarab o‘zgaradi. Ishlab chiqaruvchi o‘qitish vaqtida uchramagan lug‘at birliklari tushib qolishi mumkinligini, alohida so‘zlar yoki tugallanmagan gaplar esa zaifroq kontekst berishini alohida ta’kidlaydi. Noaniq tanilgan matnni tasdiqlangan faktga aylantirish o‘rniga, ismlar va maxsus atamalarni tekshirish uchun asl audioni saqlang.</p><p>Foydali material — so‘ralgan vaqt ma’lumotlari qo‘shilgan transkript. Xulosalar, tarjimalar, so‘zlovchilar tahlili va amallar ilovaning alohida vazifalari bo‘lib, nutqni matnga aylantirish nomining o‘zi ularni anglatmaydi. v3 modelining aynan qaysi nashr ekani va ishlab chiqaruvchining attention rejimini boshqa nazorat nuqtalari hamda konvertatsiya qilingan yoki kvantlangan materiallardan ajratib saqlang.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Ailoot da mavjud · kirish ma’lumotlari va usullar</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · Transkripsiya</b> <code>POST /v1/audio/transcriptions</code></summary><dl class=\"method-capabilities\"><div><dt>Kirish</dt><dd><code>audio</code></dd></div><div><dt>Chiqish</dt><dd><code>text</code></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>nvidia/parakeet-tdt-0.6b-v3</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\">input_audio</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>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\">language</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\">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><div>Eng kam: 0</div><div>Eng ko‘p: 1</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\">response_format</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>string</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>json, verbose_json</div></td><td data-cell-label=\"Standart\" data-default=\"known\"><span class=\"card-cell-label\">Standart</span>json</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">timestamp_granularities</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\">provider</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, input_audio</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>audio</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>material_conditions</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>Haqiqiy WAV faylini o‘qing va e’lon qilingan JSON input_audio uchun uning haqiqiy baytlarini kodlang; faqat JSON uchun berilgan aynan shu deklaratsiyada multipart yo‘nalishi taklif qilinmaydi.</td></tr></tbody></table></div><p>Hayot sikli: <code>synchronous_result_then_owned_library</code></p><p class=\"note-s\"><code>GET /v1/media/tasks/{task_id}</code> · Amalda qaytarilgan task_id yoki media kutubxonasidagi yozuv</p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}/content</code></p><p class=\"note-s\"><code>GET /v1/media/assets</code></p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}</code></p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Tariflar</h3><div class=\"card-result-process\" data-billing-basis><h5>Yakuniy to‘lov qanday hisoblanadi</h5><p class=\"note-s\">Ko‘rsatilgan tariflar xarajatni generatsiyadan oldin taxminiy hisoblash uchun xizmat qiladi. Yakuniy to‘lov dastlabki generatsiya uchun qayd etilgan xarajat asosida hisoblanadi. Natijaning o‘lchangan davomiyligi va oldindan taxmin qilingan miqdorlar haq undiriladigan yakuniy miqdor hisoblanmaydi.</p></div><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.</p><dl data-price-conditions><dt>Tezkor rejim</dt><dd>Ko‘rsatilmagan <span class=\"note-s\">Tezkor rejim tanlanganda</span></dd><dt>Flex rejimi</dt><dd>Ko‘rsatilmagan <span class=\"note-s\">flex rejimi tanlanganda</span></dd><dt>Maksimal fikrlash darajasi</dt><dd>Ko‘rsatilmagan <span class=\"note-s\">Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda</span></dd></dl></div><div data-declared-tariff-pricing><h4>Taqqoslash uchun taxminiy tariflar</h4><h4>Sozlamalar bo‘yicha narxlar</h4><p class=\"note-s\">Har bir to‘lovni ko‘rsatilgan shartlarga moslang. Har bir muqobil sozlamalar to‘plami uchun bitta tarifdan foydalaning.</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Sozlama</th><th>Tariflar jadvali</th><th>Prognoz miqdori</th><th>Hisob birligi</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=\"Prognoz miqdori\"><span class=\"card-cell-label\">Prognoz miqdori</span>—</td><td data-cell-label=\"Hisob birligi\"><span class=\"card-cell-label\">Hisob birligi</span>—</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Kirish · Kirish tokenlari · Faqat taqqoslash uchun taxmin</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Chiqish · Chiqish tokenlari · Faqat taqqoslash uchun taxmin</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshdan o‘qish · Faqat taqqoslash uchun taxmin</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish · Faqat taqqoslash uchun taxmin</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish, 1 soat · Faqat taqqoslash uchun taxmin</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr><tr><th data-cell-label=\"Sozlama\" scope=\"row\"><span class=\"card-cell-label\">Sozlama</span>Kirish audiosi soniyasi</th><td data-cell-label=\"Tariflar jadvali\"><span class=\"card-cell-label\">Tariflar jadvali</span>—</td><td data-cell-label=\"Prognoz miqdori\"><span class=\"card-cell-label\">Prognoz miqdori</span>—</td><td data-cell-label=\"Hisob birligi\"><span class=\"card-cell-label\">Hisob birligi</span>kirish audiosining soniyasi uchun</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Kirish · Kirish audiosi soniyasi · Faqat taqqoslash uchun taxmin</span> <b>$0.00005</b> <span class=\"price-unit\">kirish audiosining soniyasi uchun</span></div></td></tr><tr><th data-cell-label=\"Sozlama\" scope=\"row\"><span class=\"card-cell-label\">Sozlama</span>Yaratishning taxminiy qiymati</th><td data-cell-label=\"Tariflar jadvali\"><span class=\"card-cell-label\">Tariflar jadvali</span>—</td><td data-cell-label=\"Prognoz miqdori\"><span class=\"card-cell-label\">Prognoz miqdori</span>bir generatsiya uchun taxmin</td><td data-cell-label=\"Hisob birligi\"><span class=\"card-cell-label\">Hisob birligi</span>—</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Chiqish · Yaratishning taxminiy narxi · Faqat taqqoslash uchun taxmin</span> <b>$0.00005</b> <span class=\"price-unit\">yaratishdan oldingi taxmin</span></div><p class=\"note-s\">Bu taxmin qo‘shimcha to‘lov ham, tugallangan generatsiya uchun qat’iy tarif ham emas.</p></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. <a href=\"/docs/uz/billing/reserve/\">Summani band qilish va to‘lovni hisoblash tartibi →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">So‘rov namunalari</h3><h4>Ailoot Ultra · Transkripsiya</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kod variantlari\"><button class=\"cg-tab\" id=\"model-code-2006-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2006-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · Asl API formatiga aynan mos so‘rov tanasi va to‘liq natija</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kodni nusxalash\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-2006-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2006-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_AUDIO_FILE:?Set the path to your actual WAV recording}&quot;\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\nimport base64\naudio=Path(os.environ[&#39;AILOOT_AUDIO_FILE&#39;]).read_bytes()\nif not (audio[:4]==b&#39;RIFF&#39; and audio[8:12]==b&#39;WAVE&#39;): raise SystemExit(&#39;Supply an actual WAV audio file&#39;)\nif len(audio)&gt;26214400: raise SystemExit(&#39;Use a documented supported large-file flow&#39;)\nrequest={&#39;model&#39;: &#39;nvidia/parakeet-tdt-0.6b-v3&#39;, &#39;input_audio&#39;: {&#39;data&#39;: &#39;${BASE64_ACTUAL_WAV_BYTES}&#39;, &#39;format&#39;: &#39;wav&#39;}}\nrequest[&#39;input_audio&#39;][&#39;data&#39;]=base64.b64encode(audio).decode(&#39;ascii&#39;)\nPath(&#39;request.json&#39;).write_text(json.dumps(request,ensure_ascii=False),encoding=&#39;utf-8&#39;)\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/transcriptions \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o response.bin\n# Keep the complete original response and headers. Read every returned segment, word and usage field.\n# Preserve actual operation/task/asset IDs; continue reads of the original result without resubmitting.\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Natijalarni olish va saqlash</h3><h4>Ailoot Ultra · Transkripsiya</h4><ul class=\"card-result-paths\"><li><code>GET /v1/media/tasks/{task_id}</code></li><li><code>GET /v1/media/assets/{asset_id}/content</code></li><li><code>GET /v1/media/assets</code></li><li><code>GET /v1/media/assets/{asset_id}</code></li></ul><details class=\"card-about\"><summary>Boshqa kontentni o‘qish</summary><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kod variantlari\"><button class=\"cg-tab\" id=\"model-code-2007-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2007-panel-0\" aria-selected=\"true\" tabindex=\"0\">O‘zingizga tegishli mavjud materiallarni o‘qish</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kodni nusxalash\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-2007-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2007-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -o owned-assets.json\n# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.\n</code></pre></div></div></div></details><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\">To‘liq javob va sarlavhalarni, amalda qaytarilgan barcha natijalarni, dastlab qaytarilgan identifikatorlarni hamda barcha usage maydonlarini saqlang. Yaratish so‘rovini qayta yubormasdan dastlabki operatsiyani tiklang.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Asl javobni tekshirish kerak bo‘lsa</h5><p class=\"note-s\">Qaytarilgan X-Client-Request-ID ni ma’lumotlarni solishtirib tekshirish uchun saqlang. Faqat amalda qaytarilgan task_id/asset_id qiymatlari bo‘yicha yoki o‘zingizga tegishli media kutubxonasidan ma’lumot o‘qing; operatsiya ID sidan vazifa URL manzilini hech qachon tuzmang va yaratish so‘rovini qayta yubormang.</p></div><details class=\"card-about\" data-output-fields><summary>Javob maydonlari</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>Maydon</th><th>Tur</th></tr></thead><tbody><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">text</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span></td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">usage</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span></td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">segments[]</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span></td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">words[]</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span></td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">speaker fields</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span></td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">timestamps</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span></td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Taxalluslar</h3><h4>Model taxalluslari</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=nvidia%2Fparakeet-tdt-0.6b-v3&amp;route=Ultra&amp;caller=nvidia%2Fparakeet-tdt-0.6b-v3&amp;fmt=transcriptions\"><code>nvidia/parakeet-tdt-0.6b-v3</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=nvidia%2Fparakeet-tdt-0.6b-v3&amp;route=Ultra&amp;caller=nvidia%2Fparakeet-tdt-0.6b-v3&amp;fmt=transcriptions\"><code>nvidia/parakeet-tdt-0.6b-v3</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "nvidia/parakeet-tdt-0.6b-v3",
        "fmt": "transcriptions",
        "http": "POST",
        "path": "/v1/audio/transcriptions",
        "request_model_id": "nvidia/parakeet-tdt-0.6b-v3",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|transcriptions|/v1/audio/transcriptions|nvidia%2Fparakeet-tdt-0.6b-v3",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "billing_basis": {
          "basis": "original_invoice_usd",
          "description": "Ko‘rsatilgan tariflar xarajatni generatsiyadan oldin taxminiy hisoblash uchun xizmat qiladi. Yakuniy to‘lov dastlabki generatsiya uchun qayd etilgan xarajat asosida hisoblanadi. Natijaning o‘lchangan davomiyligi va oldindan taxmin qilingan miqdorlar haq undiriladigan yakuniy miqdor hisoblanmaydi.",
          "forecast_quantity_is_estimate": true,
          "physical_output_is_billable_quantity": false,
          "version": "original_invoice_usd_v1"
        },
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "lifecycle": {
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed URL; never construct token"
                }
              ],
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "status": [
                {
                  "http": "GET",
                  "id_source": "actual returned task_id or media library record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "Qaytarilgan X-Client-Request-ID ni ma’lumotlarni solishtirib tekshirish uchun saqlang. Faqat amalda qaytarilgan task_id/asset_id qiymatlari bo‘yicha yoki o‘zingizga tegishli media kutubxonasidan ma’lumot o‘qing; operatsiya ID sidan vazifa URL manzilini hech qachon tuzmang va yaratish so‘rovini qayta yubormang."
            },
            "outputs": {
              "all_results": "To‘liq javob va sarlavhalarni, amalda qaytarilgan barcha natijalarni, dastlab qaytarilgan identifikatorlarni hamda barcha usage maydonlarini saqlang. Yaratish so‘rovini qayta yubormasdan dastlabki operatsiyani tiklang.",
              "family": "text",
              "fields": [
                {
                  "description": null,
                  "name": "text",
                  "type": null
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": null
                },
                {
                  "description": null,
                  "name": "segments[]",
                  "type": null
                },
                {
                  "description": null,
                  "name": "words[]",
                  "type": null
                },
                {
                  "description": null,
                  "name": "speaker fields",
                  "type": null
                },
                {
                  "description": null,
                  "name": "timestamps",
                  "type": null
                }
              ]
            },
            "parameters": [
              {
                "enum": [
                  "nvidia/parakeet-tdt-0.6b-v3"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "name": "input_audio",
                "required": true,
                "type": "object"
              },
              {
                "name": "language",
                "required": false,
                "type": "string"
              },
              {
                "maximum": 1,
                "minimum": 0,
                "name": "temperature",
                "required": false,
                "type": "number"
              },
              {
                "default": "json",
                "default_known": true,
                "enum": [
                  "json",
                  "verbose_json"
                ],
                "enum_known": true,
                "name": "response_format",
                "required": false,
                "type": "string"
              },
              {
                "items": {
                  "enum": [
                    "segment",
                    "word"
                  ],
                  "type": "string"
                },
                "name": "timestamp_granularities",
                "required": false,
                "type": "array"
              },
              {
                "name": "provider",
                "required": false,
                "type": "object"
              }
            ],
            "request_schema": {
              "properties": {
                "input_audio": {
                  "properties": {
                    "data": {
                      "contentEncoding": "base64",
                      "type": "string"
                    },
                    "format": {
                      "enum": [
                        "wav",
                        "mp3",
                        "flac",
                        "m4a",
                        "ogg",
                        "webm",
                        "aac"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "data",
                    "format"
                  ],
                  "type": "object"
                },
                "language": {
                  "description": "ISO-639-1 code; omitted means auto-detection",
                  "type": "string"
                },
                "model": {
                  "enum": [
                    "nvidia/parakeet-tdt-0.6b-v3"
                  ],
                  "type": "string"
                },
                "provider": {
                  "description": "Data policy and exact provider options; order/only/ignore are not applied to STT",
                  "properties": {
                    "data_collection": {
                      "enum": [
                        "allow",
                        "deny",
                        null
                      ],
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "options": {
                      "type": "object"
                    },
                    "zdr": {
                      "type": [
                        "boolean",
                        "null"
                      ]
                    }
                  },
                  "type": "object"
                },
                "response_format": {
                  "default": "json",
                  "description": "verbose_json requires exact model/provider support",
                  "enum": [
                    "json",
                    "verbose_json"
                  ],
                  "type": "string"
                },
                "temperature": {
                  "maximum": 1,
                  "minimum": 0,
                  "type": "number"
                },
                "timestamp_granularities": {
                  "description": "Only used with supported verbose_json",
                  "items": {
                    "enum": [
                      "segment",
                      "word"
                    ],
                    "type": "string"
                  },
                  "type": "array"
                }
              },
              "required": [
                "model",
                "input_audio"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": true,
              "body": {
                "input_audio": {
                  "data": "${BASE64_ACTUAL_WAV_BYTES}",
                  "format": "wav"
                },
                "model": "nvidia/parakeet-tdt-0.6b-v3"
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "content_type": "application/json",
            "material_conditions": [
              "Haqiqiy WAV faylini o‘qing va e’lon qilingan JSON input_audio uchun uning haqiqiy baytlarini kodlang; faqat JSON uchun berilgan aynan shu deklaratsiyada multipart yo‘nalishi taklif qilinmaydi."
            ],
            "material_types": [
              "audio"
            ],
            "required": [
              "model",
              "input_audio"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "Amalda qaytarilgan task_id yoki media kutubxonasidagi yozuv",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Keep the returned X-Client-Request-ID for reconciliation. Read only actual returned task_id/asset_id values or the owned media library; never build a task URL from the operation ID and never resubmit creation."
          },
          "method": {
            "http": "POST",
            "path": "/v1/audio/transcriptions"
          },
          "output": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "family": "text",
            "fields": [
              {
                "description": null,
                "name": "text",
                "type": null
              },
              {
                "description": null,
                "name": "usage",
                "type": null
              },
              {
                "description": null,
                "name": "segments[]",
                "type": null
              },
              {
                "description": null,
                "name": "words[]",
                "type": null
              },
              {
                "description": null,
                "name": "speaker fields",
                "type": null
              },
              {
                "description": null,
                "name": "timestamps",
                "type": null
              }
            ]
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input audio second"
            },
            "label": "input audio second",
            "units": [
              {
                "amount": "0.00005",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "audio_input_second",
                "label": "input audio second",
                "native_amount_usd_per_unit": "0.00005",
                "native_quantity": 1,
                "public_unit_label": "per input audio second",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_second"
              }
            ]
          },
          {
            "basis": "Bu taxmin qo‘shimcha to‘lov ham, tugallangan generatsiya uchun qat’iy tarif ham emas.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Yaratishning taxminiy qiymati",
            "units": [
              {
                "amount": "0.00005",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.00005",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_AUDIO_FILE:?Set the path to your actual WAV recording}\"\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\nimport base64\naudio=Path(os.environ['AILOOT_AUDIO_FILE']).read_bytes()\nif not (audio[:4]==b'RIFF' and audio[8:12]==b'WAVE'): raise SystemExit('Supply an actual WAV audio file')\nif len(audio)>26214400: raise SystemExit('Use a documented supported large-file flow')\nrequest={'model': 'nvidia/parakeet-tdt-0.6b-v3', 'input_audio': {'data': '${BASE64_ACTUAL_WAV_BYTES}', 'format': 'wav'}}\nrequest['input_audio']['data']=base64.b64encode(audio).decode('ascii')\nPath('request.json').write_text(json.dumps(request,ensure_ascii=False),encoding='utf-8')\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/transcriptions \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o response.bin\n# Keep the complete original response and headers. Read every returned segment, word and usage field.\n# Preserve actual operation/task/asset IDs; continue reads of the original result without resubmitting.\n",
            "label": "curl · exact native body and complete result",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o owned-assets.json\n# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.\n",
            "label": "Read existing owned assets",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "transcriptions",
        "hints": [
          "Use the exact caller model ID and documented input representation.",
          "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "audio"
        ],
        "label": "Transkripsiya",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "native_endpoint": "audio_transcriptions",
        "out": null,
        "output": [
          "text"
        ],
        "path": "/v1/audio/transcriptions",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "original_invoice_usd",
          "image_input_price": null,
          "image_output_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input audio second"
            },
            "label": "input audio second",
            "units": [
              {
                "amount": "0.00005",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "audio_input_second",
                "label": "input audio second",
                "native_amount_usd_per_unit": "0.00005",
                "native_quantity": 1,
                "public_unit_label": "per input audio second",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_second"
              }
            ]
          },
          {
            "basis": "This estimate is not an additional charge or a fixed rate for the completed generation.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Estimated generation cost",
            "units": [
              {
                "amount": "0.00005",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.00005",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "request_model_id": "nvidia/parakeet-tdt-0.6b-v3",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/media/tasks/{task_id}"
        ],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "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": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "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": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "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": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.00005",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "audio_input_second",
            "label": "input audio second",
            "native_amount_usd_per_unit": "0.00005",
            "native_quantity": 1,
            "public_unit_label": "per input audio second",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "audio_input_second"
          },
          {
            "amount": "0.00005",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "forecast_usd",
            "label": "Estimated generation cost",
            "native_amount_usd_per_unit": "0.00005",
            "native_quantity": 1,
            "public_unit_label": "estimate before generation",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "request_estimate"
          }
        ]
      }
    }
  ],
  "model_id": "nvidia/parakeet-tdt-0.6b-v3",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "8fa747efd8c7c883ad49b9383fd76854bc35e6ca9ab1d3b3b6357912a2c7d11e",
    "input_html_sha256": "b4beb498cd758a0d178a9e92d55b4b730c41f9e05607f464442187cba35ac36a",
    "private_audit_sha256": "696c4b8e1c24893706eebc53f1fda46f5cd23ff4d9bbea1ed6d9ef11d22c7843",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/uz/nvidia-parakeet-tdt-0-6b-v3/",
    "description": "NVIDIA’ning Parakeet TDT 0.6B v3 modeli — tilni avtomatik aniqlaydigan, 25 ta Yevropa tili uchun mo‘ljallangan 600M parametrli nutqni matnga aylantirish modeli. U tinish belgilari qo‘yilgan transkriptlar yaratadi va so‘z hamda segment vaqt belgilarini qo‘llab-quvvatlaydi; uzun audio rejimlari ishlab chiqaruvchining attention sozlamalariga bog‘liq.",
    "locale": "uz",
    "md_url": "https://ailoot.ai/models/uz/nvidia-parakeet-tdt-0-6b-v3/index.md",
    "title": "NVIDIA: Parakeet TDT 0.6B v3 — Ailoot",
    "url": "https://ailoot.ai/models/uz/nvidia-parakeet-tdt-0-6b-v3/"
  },
  "rawModel": {
    "about": "Parakeet TDT 0.6B v3 — NVIDIA’ning 600 million parametrli, ko‘p tilli nutqni tanish modeli. U faqat ingliz tilida ishlaydigan v2 modelining imkoniyatlarini 25 ta Yevropa tiliga kengaytiradi va alohida til ko‘rsatmasisiz audio tilini avtomatik aniqlaydi. Natija — tinish belgilari va bosh harflar qo‘yilgan nutq transkripti.\n\nQo‘llab-quvvatlanadigan tillar: bolgar, xorvat, chex, daniya, niderland, ingliz, eston, fin, fransuz, nemis, yunon, venger, italyan, latish, litva, malta, polyak, portugal, rumin, slovak, sloven, ispan, shved, rus va ukrain tillari. Bu ro‘yxat v3 nashriga tegishli; Parakeet’ning boshqa dekoder turlari va til variantlari alohida modellardir.\n\nArxitektura FastConformer enkoderini token va davomiylikni bashorat qiluvchi transducer dekoderi bilan birlashtiradi. Enkoder akustik signalni ichki ifodalarga aylantiradi; dekoder esa matn tokenlarini audio kadrlar bo‘ylab oldinga o‘tish uchun kerakli davomiyliklar bilan birga bashorat qiladi. Shu TDT xatti-harakati uni oilaning CTC va odatiy RNN-T dekoderlaridan ajratib turadi.\n\n16 kHz chastotada diskretlangan bir kanalli audio tayyorlang. Ishlab chiqaruvchining bevosita kirish formatlari WAV va FLAC; amalga oshirish misollarida esa tovush to‘lqinini tanishga tayyorlash uchun protsessordan foydalaniladi. Transkriptni tekshirish yoki manbaga moslashtirish uchun yozuv identifikatori va asl audioni qaytgan matn bilan birga saqlang.\n\nVaqt belgilarini qo‘shish tanilgan nutqqa vaqt ma’lumotlarini biriktiradi. NVIDIA’ning NeMo misoli vaqt belgilarini yaratish yoqilganda belgi, so‘z va segment vaqtlarini qaytaradi. Subtitr yoki arxiv ilovasi parchani yozuvga bog‘lash uchun segment chegaralaridan, muayyan iborani topish uchun esa so‘z vaqtlaridan foydalanishi mumkin. Transkript va uning vaqt maydonlari natijaning turli qismlari bo‘lib, o‘zaro bog‘langan holda saqlanishi kerak.\n\nUzun yozuvlarda attention sozlamasi muhim. Ishlab chiqaruvchi 80 GB A100 da full attention bilan 24 daqiqagacha, local attention bilan esa uch soatgacha ishlashni tasvirlaydi. Uning uzun audio misolida enkoder chap va o‘ng konteksti cheklangan local attention rejimiga o‘tkaziladi. Bu davomiyliklar har bir joylashtirish uchun yagona shartsiz chegarani emas, ishlab chiqaruvchining muayyan sozlamalarini ifodalaydi.\n\nIshlab chiqaruvchi oqimda foydalanish uchun bo‘laklar bo‘yicha inference jarayonini ham e’lon qiladi. Misolda har bir bo‘lak uzunligi hamda uning atrofidagi chap va o‘ng audio konteksti belgilanadi. Bu qayta ishlash tartibi keshni hisobga oluvchi asl Nemotron oqimli modelidan alohidadir. Ilova yozuv transkriptini qismlar bo‘yicha yig‘ayotganda tanlangan tartibni va dastlabki vaqt asosini saqlashi kerak.\n\nO‘qitish aralashmasiga insonlar matnga ko‘chirgan 10,000 soat nutq va psevdoyorliqlar bilan belgilangan 660,000 soat Granary ma’lumotlari kiradi; ularda tinish belgilari va bosh harflar saqlangan. Ishlab chiqaruvchi hujjatlashtirilgan model jarayoni orqali chiqarilgan ushbu nazorat nuqtasini boshqa nutq ma’lumotlari to‘plamida qo‘shimcha o‘qitishni ham qo‘llab-quvvatlaydi; moslashtirilgan nazorat nuqtasi asosiy v3 modelidan alohida bo‘lib qoladi. Shu sababli modelning matnli chiqishi kengroq ish jarayonidagi nutqni matnga aylantirish bosqichiga mos keladi. Uchrashuv arxivi transkriptni yozuvga biriktirishi, qidiruv ilovasi tanilgan parchani indekslashi, subtitr vositasi esa qaytgan vaqt metama’lumotlaridan foydalanishi mumkin.\n\nNutqni tanish sifati til, aksent, shovqin va nutq turiga qarab o‘zgaradi. Ishlab chiqaruvchi o‘qitish vaqtida uchramagan lug‘at birliklari tushib qolishi mumkinligini, alohida so‘zlar yoki tugallanmagan gaplar esa zaifroq kontekst berishini alohida ta’kidlaydi. Noaniq tanilgan matnni tasdiqlangan faktga aylantirish o‘rniga, ismlar va maxsus atamalarni tekshirish uchun asl audioni saqlang.\n\nFoydali material — so‘ralgan vaqt ma’lumotlari qo‘shilgan transkript. Xulosalar, tarjimalar, so‘zlovchilar tahlili va amallar ilovaning alohida vazifalari bo‘lib, nutqni matnga aylantirish nomining o‘zi ularni anglatmaydi. v3 modelining aynan qaysi nashr ekani va ishlab chiqaruvchining attention rejimini boshqa nazorat nuqtalari hamda konvertatsiya qilingan yoki kvantlangan materiallardan ajratib saqlang.",
    "alias_of": null,
    "aliases": [],
    "author": "NVIDIA",
    "capabilities": {
      "context_length": 0,
      "manufacturer_input": [
        "audio"
      ],
      "manufacturer_output": [
        "transcription"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.00005",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "forecast_usd",
            "label": "Estimated generation cost",
            "native_amount_usd_per_unit": "0.00005",
            "native_quantity": 1,
            "public_unit_label": "estimate before generation",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "request_estimate"
          }
        ],
        "summary": "Konfiguratsiya narxlari tafsilotlarda to‘liq ko‘rsatilgan."
      }
    ],
    "ctx": null,
    "formats": [
      "transcriptions"
    ],
    "id": "nvidia/parakeet-tdt-0.6b-v3",
    "input": [
      "audio"
    ],
    "kind": "audio",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "billing_basis": {
          "basis": "original_invoice_usd",
          "description": "Ko‘rsatilgan tariflar xarajatni generatsiyadan oldin taxminiy hisoblash uchun xizmat qiladi. Yakuniy to‘lov dastlabki generatsiya uchun qayd etilgan xarajat asosida hisoblanadi. Natijaning o‘lchangan davomiyligi va oldindan taxmin qilingan miqdorlar haq undiriladigan yakuniy miqdor hisoblanmaydi.",
          "forecast_quantity_is_estimate": true,
          "physical_output_is_billable_quantity": false,
          "version": "original_invoice_usd_v1"
        },
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "lifecycle": {
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed URL; never construct token"
                }
              ],
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "status": [
                {
                  "http": "GET",
                  "id_source": "actual returned task_id or media library record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "Qaytarilgan X-Client-Request-ID ni ma’lumotlarni solishtirib tekshirish uchun saqlang. Faqat amalda qaytarilgan task_id/asset_id qiymatlari bo‘yicha yoki o‘zingizga tegishli media kutubxonasidan ma’lumot o‘qing; operatsiya ID sidan vazifa URL manzilini hech qachon tuzmang va yaratish so‘rovini qayta yubormang."
            },
            "outputs": {
              "all_results": "To‘liq javob va sarlavhalarni, amalda qaytarilgan barcha natijalarni, dastlab qaytarilgan identifikatorlarni hamda barcha usage maydonlarini saqlang. Yaratish so‘rovini qayta yubormasdan dastlabki operatsiyani tiklang.",
              "family": "text",
              "fields": [
                {
                  "description": null,
                  "name": "text",
                  "type": null
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": null
                },
                {
                  "description": null,
                  "name": "segments[]",
                  "type": null
                },
                {
                  "description": null,
                  "name": "words[]",
                  "type": null
                },
                {
                  "description": null,
                  "name": "speaker fields",
                  "type": null
                },
                {
                  "description": null,
                  "name": "timestamps",
                  "type": null
                }
              ]
            },
            "parameters": [
              {
                "enum": [
                  "nvidia/parakeet-tdt-0.6b-v3"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "name": "input_audio",
                "required": true,
                "type": "object"
              },
              {
                "name": "language",
                "required": false,
                "type": "string"
              },
              {
                "maximum": 1,
                "minimum": 0,
                "name": "temperature",
                "required": false,
                "type": "number"
              },
              {
                "default": "json",
                "default_known": true,
                "enum": [
                  "json",
                  "verbose_json"
                ],
                "enum_known": true,
                "name": "response_format",
                "required": false,
                "type": "string"
              },
              {
                "items": {
                  "enum": [
                    "segment",
                    "word"
                  ],
                  "type": "string"
                },
                "name": "timestamp_granularities",
                "required": false,
                "type": "array"
              },
              {
                "name": "provider",
                "required": false,
                "type": "object"
              }
            ],
            "request_schema": {
              "properties": {
                "input_audio": {
                  "properties": {
                    "data": {
                      "contentEncoding": "base64",
                      "type": "string"
                    },
                    "format": {
                      "enum": [
                        "wav",
                        "mp3",
                        "flac",
                        "m4a",
                        "ogg",
                        "webm",
                        "aac"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "data",
                    "format"
                  ],
                  "type": "object"
                },
                "language": {
                  "description": "ISO-639-1 code; omitted means auto-detection",
                  "type": "string"
                },
                "model": {
                  "enum": [
                    "nvidia/parakeet-tdt-0.6b-v3"
                  ],
                  "type": "string"
                },
                "provider": {
                  "description": "Data policy and exact provider options; order/only/ignore are not applied to STT",
                  "properties": {
                    "data_collection": {
                      "enum": [
                        "allow",
                        "deny",
                        null
                      ],
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "options": {
                      "type": "object"
                    },
                    "zdr": {
                      "type": [
                        "boolean",
                        "null"
                      ]
                    }
                  },
                  "type": "object"
                },
                "response_format": {
                  "default": "json",
                  "description": "verbose_json requires exact model/provider support",
                  "enum": [
                    "json",
                    "verbose_json"
                  ],
                  "type": "string"
                },
                "temperature": {
                  "maximum": 1,
                  "minimum": 0,
                  "type": "number"
                },
                "timestamp_granularities": {
                  "description": "Only used with supported verbose_json",
                  "items": {
                    "enum": [
                      "segment",
                      "word"
                    ],
                    "type": "string"
                  },
                  "type": "array"
                }
              },
              "required": [
                "model",
                "input_audio"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": true,
              "body": {
                "input_audio": {
                  "data": "${BASE64_ACTUAL_WAV_BYTES}",
                  "format": "wav"
                },
                "model": "nvidia/parakeet-tdt-0.6b-v3"
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "content_type": "application/json",
            "material_conditions": [
              "Haqiqiy WAV faylini o‘qing va e’lon qilingan JSON input_audio uchun uning haqiqiy baytlarini kodlang; faqat JSON uchun berilgan aynan shu deklaratsiyada multipart yo‘nalishi taklif qilinmaydi."
            ],
            "material_types": [
              "audio"
            ],
            "required": [
              "model",
              "input_audio"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "Amalda qaytarilgan task_id yoki media kutubxonasidagi yozuv",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Keep the returned X-Client-Request-ID for reconciliation. Read only actual returned task_id/asset_id values or the owned media library; never build a task URL from the operation ID and never resubmit creation."
          },
          "method": {
            "http": "POST",
            "path": "/v1/audio/transcriptions"
          },
          "output": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "family": "text",
            "fields": [
              {
                "description": null,
                "name": "text",
                "type": null
              },
              {
                "description": null,
                "name": "usage",
                "type": null
              },
              {
                "description": null,
                "name": "segments[]",
                "type": null
              },
              {
                "description": null,
                "name": "words[]",
                "type": null
              },
              {
                "description": null,
                "name": "speaker fields",
                "type": null
              },
              {
                "description": null,
                "name": "timestamps",
                "type": null
              }
            ]
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input audio second"
            },
            "label": "input audio second",
            "units": [
              {
                "amount": "0.00005",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "audio_input_second",
                "label": "input audio second",
                "native_amount_usd_per_unit": "0.00005",
                "native_quantity": 1,
                "public_unit_label": "per input audio second",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_second"
              }
            ]
          },
          {
            "basis": "Bu taxmin qo‘shimcha to‘lov ham, tugallangan generatsiya uchun qat’iy tarif ham emas.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Yaratishning taxminiy qiymati",
            "units": [
              {
                "amount": "0.00005",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.00005",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_AUDIO_FILE:?Set the path to your actual WAV recording}\"\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\nimport base64\naudio=Path(os.environ['AILOOT_AUDIO_FILE']).read_bytes()\nif not (audio[:4]==b'RIFF' and audio[8:12]==b'WAVE'): raise SystemExit('Supply an actual WAV audio file')\nif len(audio)>26214400: raise SystemExit('Use a documented supported large-file flow')\nrequest={'model': 'nvidia/parakeet-tdt-0.6b-v3', 'input_audio': {'data': '${BASE64_ACTUAL_WAV_BYTES}', 'format': 'wav'}}\nrequest['input_audio']['data']=base64.b64encode(audio).decode('ascii')\nPath('request.json').write_text(json.dumps(request,ensure_ascii=False),encoding='utf-8')\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/transcriptions \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o response.bin\n# Keep the complete original response and headers. Read every returned segment, word and usage field.\n# Preserve actual operation/task/asset IDs; continue reads of the original result without resubmitting.\n",
            "label": "curl · exact native body and complete result",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o owned-assets.json\n# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.\n",
            "label": "Read existing owned assets",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "transcriptions",
        "hints": [
          "Use the exact caller model ID and documented input representation.",
          "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "audio"
        ],
        "label": "Transkripsiya",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "native_endpoint": "audio_transcriptions",
        "out": null,
        "output": [
          "text"
        ],
        "path": "/v1/audio/transcriptions",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "original_invoice_usd",
          "image_input_price": null,
          "image_output_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
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                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
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                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
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                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
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                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
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                "rate_role": "typed_native_retail_rate",
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                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
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                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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",
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                "rate_role": "typed_native_retail_rate",
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            ]
          },
          {
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                "key": "audio_input_second",
                "label": "input audio second",
                "native_amount_usd_per_unit": "0.00005",
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                "public_unit_label": "per input audio second",
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                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_second"
              }
            ]
          },
          {
            "basis": "This estimate is not an additional charge or a fixed rate for the completed generation.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Estimated generation cost",
            "units": [
              {
                "amount": "0.00005",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
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                "public_unit_label": "estimate before generation",
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            ]
          }
        ],
        "request_model_id": "nvidia/parakeet-tdt-0.6b-v3",
        "route_label": "Ultra",
        "status_reads": [
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        ],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
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            "key": "output_price",
            "label": "Output tokens",
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            "native_quantity": 1,
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            "quantity": 1000,
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          },
          {
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            "key": "cache_read_price",
            "label": "Cache read",
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            "quantity_is_estimate": true,
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          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "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": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "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": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.00005",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "audio_input_second",
            "label": "input audio second",
            "native_amount_usd_per_unit": "0.00005",
            "native_quantity": 1,
            "public_unit_label": "per input audio second",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "audio_input_second"
          },
          {
            "amount": "0.00005",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "forecast_usd",
            "label": "Estimated generation cost",
            "native_amount_usd_per_unit": "0.00005",
            "native_quantity": 1,
            "public_unit_label": "estimate before generation",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "request_estimate"
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        ]
      }
    ],
    "model_aliases": [
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        "canonical_model_id": "nvidia/parakeet-tdt-0.6b-v3",
        "request_model_id": "nvidia/parakeet-tdt-0.6b-v3",
        "route_label": "Ultra"
      }
    ],
    "name": "NVIDIA: Parakeet TDT 0.6B v3",
    "price": {
      "estimate_only": true,
      "in": null,
      "in_label": null,
      "out": 5e-05,
      "out_label": "estimate before generation",
      "scope_label": "Estimated generation cost",
      "sort_in": null,
      "sort_out": 5e-05,
      "varies": false
    },
    "short": "NVIDIA’ning Parakeet TDT 0.6B v3 modeli — tilni avtomatik aniqlaydigan, 25 ta Yevropa tili uchun mo‘ljallangan 600M parametrli nutqni matnga aylantirish modeli. U tinish belgilari qo‘yilgan transkriptlar yaratadi va so‘z hamda segment vaqt belgilarini qo‘llab-quvvatlaydi; uzun audio rejimlari ishlab chiqaruvchining attention sozlamalariga bog‘liq."
  },
  "renderer_schema": {
    "method_order": "Original DTO methods order; every exact route/format/path/caller survives.",
    "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers."
  },
  "representation": "exact-public-dto-and-native-renderer-html",
  "representationNotes": {
    "current_reference": {
      "about_json_pointer": "/aboutHtml",
      "methods": [
        {
          "contract_json_pointer": "/methods/0/rawMethod/contract",
          "html_json_pointer": "/methods/0/html",
          "method_ordinal": 0
        }
      ],
      "role": "current-semantic-reference"
    },
    "raw_input": {
      "examples_role": "historical-input-not-current-ready-examples",
      "json_pointers": [
        "/rawModel",
        "/methods/0/rawMethod"
      ],
      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
  },
  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "NVIDIA’ning Parakeet TDT 0.6B v3 modeli — tilni avtomatik aniqlaydigan, 25 ta Yevropa tili uchun mo‘ljallangan 600M parametrli nutqni matnga aylantirish modeli. U tinish belgilari qo‘yilgan transkriptlar yaratadi va so‘z hamda segment vaqt belgilarini qo‘llab-quvvatlaydi; uzun audio rejimlari ishlab chiqaruvchining attention sozlamalariga bog‘liq.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "ea63e00d699b7f15674ee8df2e5eb08e69fd29a8f5dc42f59f7dbdbcc5a7d330",
    "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6"
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  "sourceRevision": "5bb7c950aca3dbe2fa588285f64a73dfe4657c7feb03215e970c34a8e2bd3670"
}