{ "aboutHtml": "

GPT-4o Mini Transcribe — OpenAI kompaniyasining GPT-4o Mini asosidagi nutqni matnga aylantirish modeli. U ixtiyoriy matnli yo‘riq bilan audioni qabul qilib, tanilgan matn chiqaradi. Bu GPT-4o dan foydalanadigan GPT-4o Transcribe va alohida kalit so‘z hamda ko‘p til ko‘rsatmalari maydonlariga ega yangi GPT Transcribe profilidan farq qiladigan modeldir. Bu yerdagi foydali artefakt — qidirish, ko‘rib chiqish yoki keyingi kontent ishlovi uchun tayyorlangan, yozuvdagi asl nutq transkripti.

Yozuvni tayyorlash

OpenAI ning fayldan transkripsiya qilish qo‘llanmasi 25 MB gacha audio yuklashni qabul qiladi. Joriy endpoint ma’lumotnomasida FLAC, MP3, MP4, MPEG, MPGA, M4A, OGG, WAV va WebM hamda audio formatini aniqlash uchun yetarli fayl nomi va kontent turi metama’lumotlari ko‘rsatilgan. Kattaroq yozuvlarni siqish yoki 25 MB dan oshmaydigan qismlarga bo‘lish mumkin. Bo‘lishda gap chegaralarini saqlang; matnni keyin to‘g‘ri tartibda yig‘ish uchun har bir qismni manba yozuvi va undagi o‘rni bilan bog‘lang.

Ovozli qaydlarda har bir yozuv uchun manbasi aniqlanadigan bitta transkriptni saqlang, matndan vazifalar yaratishdan oldin ismlar va sonlarni tekshiring. Og‘zaki darsda tanilgan so‘zlarni nashr uchun tahrirlashdan oldin asl ko‘rsatmalar bilan solishtiring. Foydali tayyorlash topshirig‘i nutq tili va noto‘g‘ri eshitilishi mumkin bo‘lgan terminlarni belgilaydi. So‘zlarni transkripsiya qilish birinchi bosqichdir; keyin tekshirilgan transkriptni talqin, qisqacha bayon yoki tarjima uchun ishlatish mumkin.

Prompt yo‘riqlari va bitta til ko‘rsatmasi

Mavjud GPT-4o Mini Transcribe integratsiyalari erkin shakldagi promptni qo‘llaydi. OpenAI ismlar, qisqartmalar, yozuvga xos lug‘at, tinish belgilari, bosh harflar, to‘ldiruvchi so‘zlar va kerakli yozuv tizimi uchun promptlarni tasvirlaydi. Endpoint ma’lumotnomasiga ko‘ra, prompt audio tiliga mos kelishi kerak va oldingi audio segment kontekstini berishi mumkin. Transkripsiya promptidan cheklanmagan chat ko‘rsatmasi kabi ishlashni so‘rash o‘rniga, tegishli yozilishlar yoki mavzuning qisqa tavsifini qo‘shing.

Bu modelning mavjud til ko‘rsatmasi bitta tilni bildiruvchi language maydonidan foydalanadi. Ishlab chiqaruvchi ma’lumotnomasi ISO 639-1 kirish tili kodini, masalan en ni hujjatlashtiradi. Alohida keywords va ko‘plikdagi languages maydonlari GPT Transcribe uchun hujjatlashtirilgan; ular bu Mini profiliga kirmaydi. Yozuvlar seriyasida har bir kirish bilan mo‘ljallangan nutq tili sozlamasini saqlang, uni natijani tarjima qilish so‘rovi deb talqin qilmang.

JSON natijasi va ixtiyoriy token ehtimollari

Joriy endpoint ma’lumotnomasi JSON ni GPT-4o Mini Transcribe qo‘llaydigan javob formati sifatida hujjatlashtiradi. Tanilgan so‘zlar text maydonida ko‘rinadi. So‘ralganda JSON javobiga token logarifmik ehtimollari ham qo‘shilishi mumkin; bu qiymatlar model token ehtimollarini ifodalaydi va batafsilroq tekshiriladigan materialni topishga yordam berishi mumkin. Ular ism, son yoki gap audio bilan mosligini isbotlamaydi. Shubhali so‘zni tuzatish kerakligini yozuv yordamida hal qiling.

Odatiy Mini transkripsiya profili shu JSON talablari orqali modelning o‘z SRT, VTT, batafsil so‘z vaqt belgilari yoki so‘zlovchi yorliqli chiqishini bermaydi. OpenAI bu imkoniyatlar uchun maxsus modellar va formatlarni hujjatlashtiradi. Kerakli artefakt subtitr yo‘li bo‘lsa, faqat matnli natijada subtitr chegaralari allaqachon bor deb hisoblamasdan, tekshirilgan transkriptni alohida vaqt belgilash jarayoni uchun saqlang.

Fayl chiqishini oqimli uzatish va hujjatlashtirilgan rejimlar

Ishlab chiqaruvchining nutqni matnga aylantirish qo‘llanmasi mavjud GPT-4o Mini Transcribe integratsiyalari fayldan oqimli uzatishni qo‘llashini aniq aytadi. Tugallangan yozuv qayta ishlanayotganda qisman transkript matni, keyin yakuniy natija hosil bo‘lishi mumkin. Yakuniy transkriptni tugallangan artefakt sifatida saqlang; qisman matn paydo bo‘lishi fayl jarayoni jonli mikrofon audiosini uzluksiz qabul qilayotganini anglatmaydi. Model kartasida transkripsiya va Realtime endpoint oilalari alohida sanab o‘tilgan. Ishlab chiqaruvchining bu interfeyslari boshqa transkripsiya modelining har bir sessiya maydoni bu yerda ham qo‘llanadi degani emas.

Kontekst, chiqish limiti va foydali tekshiruvlar

OpenAI ning joriy model spetsifikatsiyasida 16,000 tokenli kontekst oynasi, ko‘pi bilan 2,000 chiqish tokeni va 2024-yil 1-iyundagi bilimlar chegarasi ko‘rsatilgan. Bular audio yozuvi uchun universal daqiqalar davomiyligi emas, model spetsifikatsiyasi qiymatlaridir. Fayl hajmi qoidasi va token limiti turli cheklovlarni ifodalaydi. Uzunroq material uchun yozuvni hujjatlashtirilgan fayl jarayoni asosida tayyorlang, tegishli kontekstni qismlar orasida uzating va yakuniy matnda manbaning oxiri ham borligini tekshiring.

Foydali Mini Transcribe natijasi so‘zlarni va ularning yozuv bilan bog‘lanishini saqlaydi; ixtiyoriy ehtimol ma’lumotlari tahririy tuzatishlardan alohida turadi. Notanish lug‘at, aksentlar, fon shovqini, til almashishlari va bir vaqtda gapirishni asl audio mavjud holda tekshiring. Matnni o‘qishga qulay qilish uchun tahrirlayotganda, keyingi foydalanuvchilar qaysi so‘zlar yozuvdan olinganini va qaysilari tayyorlash vaqtida o‘zgartirilganini bilishi uchun tahririy versiyani tanilgan transkriptdan ajrating.

", "aboutText": "GPT-4o Mini Transcribe — OpenAI kompaniyasining GPT-4o Mini asosidagi nutqni matnga aylantirish modeli. U ixtiyoriy matnli yo‘riq bilan audioni qabul qilib, tanilgan matn chiqaradi. Bu GPT-4o dan foydalanadigan GPT-4o Transcribe va alohida kalit so‘z hamda ko‘p til ko‘rsatmalari maydonlariga ega yangi GPT Transcribe profilidan farq qiladigan modeldir. Bu yerdagi foydali artefakt — qidirish, ko‘rib chiqish yoki keyingi kontent ishlovi uchun tayyorlangan, yozuvdagi asl nutq transkripti.\n\n### Yozuvni tayyorlash\n\nOpenAI ning fayldan transkripsiya qilish qo‘llanmasi 25 MB gacha audio yuklashni qabul qiladi. Joriy endpoint ma’lumotnomasida FLAC, MP3, MP4, MPEG, MPGA, M4A, OGG, WAV va WebM hamda audio formatini aniqlash uchun yetarli fayl nomi va kontent turi metama’lumotlari ko‘rsatilgan. Kattaroq yozuvlarni siqish yoki 25 MB dan oshmaydigan qismlarga bo‘lish mumkin. Bo‘lishda gap chegaralarini saqlang; matnni keyin to‘g‘ri tartibda yig‘ish uchun har bir qismni manba yozuvi va undagi o‘rni bilan bog‘lang.\n\nOvozli qaydlarda har bir yozuv uchun manbasi aniqlanadigan bitta transkriptni saqlang, matndan vazifalar yaratishdan oldin ismlar va sonlarni tekshiring. Og‘zaki darsda tanilgan so‘zlarni nashr uchun tahrirlashdan oldin asl ko‘rsatmalar bilan solishtiring. Foydali tayyorlash topshirig‘i nutq tili va noto‘g‘ri eshitilishi mumkin bo‘lgan terminlarni belgilaydi. So‘zlarni transkripsiya qilish birinchi bosqichdir; keyin tekshirilgan transkriptni talqin, qisqacha bayon yoki tarjima uchun ishlatish mumkin.\n\n### Prompt yo‘riqlari va bitta til ko‘rsatmasi\n\nMavjud GPT-4o Mini Transcribe integratsiyalari erkin shakldagi promptni qo‘llaydi. OpenAI ismlar, qisqartmalar, yozuvga xos lug‘at, tinish belgilari, bosh harflar, to‘ldiruvchi so‘zlar va kerakli yozuv tizimi uchun promptlarni tasvirlaydi. Endpoint ma’lumotnomasiga ko‘ra, prompt audio tiliga mos kelishi kerak va oldingi audio segment kontekstini berishi mumkin. Transkripsiya promptidan cheklanmagan chat ko‘rsatmasi kabi ishlashni so‘rash o‘rniga, tegishli yozilishlar yoki mavzuning qisqa tavsifini qo‘shing.\n\nBu modelning mavjud til ko‘rsatmasi bitta tilni bildiruvchi language maydonidan foydalanadi. Ishlab chiqaruvchi ma’lumotnomasi ISO 639-1 kirish tili kodini, masalan en ni hujjatlashtiradi. Alohida keywords va ko‘plikdagi languages maydonlari GPT Transcribe uchun hujjatlashtirilgan; ular bu Mini profiliga kirmaydi. Yozuvlar seriyasida har bir kirish bilan mo‘ljallangan nutq tili sozlamasini saqlang, uni natijani tarjima qilish so‘rovi deb talqin qilmang.\n\n### JSON natijasi va ixtiyoriy token ehtimollari\n\nJoriy endpoint ma’lumotnomasi JSON ni GPT-4o Mini Transcribe qo‘llaydigan javob formati sifatida hujjatlashtiradi. Tanilgan so‘zlar text maydonida ko‘rinadi. So‘ralganda JSON javobiga token logarifmik ehtimollari ham qo‘shilishi mumkin; bu qiymatlar model token ehtimollarini ifodalaydi va batafsilroq tekshiriladigan materialni topishga yordam berishi mumkin. Ular ism, son yoki gap audio bilan mosligini isbotlamaydi. Shubhali so‘zni tuzatish kerakligini yozuv yordamida hal qiling.\n\nOdatiy Mini transkripsiya profili shu JSON talablari orqali modelning o‘z SRT, VTT, batafsil so‘z vaqt belgilari yoki so‘zlovchi yorliqli chiqishini bermaydi. OpenAI bu imkoniyatlar uchun maxsus modellar va formatlarni hujjatlashtiradi. Kerakli artefakt subtitr yo‘li bo‘lsa, faqat matnli natijada subtitr chegaralari allaqachon bor deb hisoblamasdan, tekshirilgan transkriptni alohida vaqt belgilash jarayoni uchun saqlang.\n\n### Fayl chiqishini oqimli uzatish va hujjatlashtirilgan rejimlar\n\nIshlab chiqaruvchining nutqni matnga aylantirish qo‘llanmasi mavjud GPT-4o Mini Transcribe integratsiyalari fayldan oqimli uzatishni qo‘llashini aniq aytadi. Tugallangan yozuv qayta ishlanayotganda qisman transkript matni, keyin yakuniy natija hosil bo‘lishi mumkin. Yakuniy transkriptni tugallangan artefakt sifatida saqlang; qisman matn paydo bo‘lishi fayl jarayoni jonli mikrofon audiosini uzluksiz qabul qilayotganini anglatmaydi. Model kartasida transkripsiya va Realtime endpoint oilalari alohida sanab o‘tilgan. Ishlab chiqaruvchining bu interfeyslari boshqa transkripsiya modelining har bir sessiya maydoni bu yerda ham qo‘llanadi degani emas.\n\n### Kontekst, chiqish limiti va foydali tekshiruvlar\n\nOpenAI ning joriy model spetsifikatsiyasida 16,000 tokenli kontekst oynasi, ko‘pi bilan 2,000 chiqish tokeni va 2024-yil 1-iyundagi bilimlar chegarasi ko‘rsatilgan. Bular audio yozuvi uchun universal daqiqalar davomiyligi emas, model spetsifikatsiyasi qiymatlaridir. Fayl hajmi qoidasi va token limiti turli cheklovlarni ifodalaydi. Uzunroq material uchun yozuvni hujjatlashtirilgan fayl jarayoni asosida tayyorlang, tegishli kontekstni qismlar orasida uzating va yakuniy matnda manbaning oxiri ham borligini tekshiring.\n\nFoydali Mini Transcribe natijasi so‘zlarni va ularning yozuv bilan bog‘lanishini saqlaydi; ixtiyoriy ehtimol ma’lumotlari tahririy tuzatishlardan alohida turadi. Notanish lug‘at, aksentlar, fon shovqini, til almashishlari va bir vaqtda gapirishni asl audio mavjud holda tekshiring. Matnni o‘qishga qulay qilish uchun tahrirlayotganda, keyingi foydalanuvchilar qaysi so‘zlar yozuvdan olinganini va qaysilari tayyorlash vaqtida o‘zgartirilganini bilishi uchun tahririy versiyani tanilgan transkriptdan ajrating.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "0b01ebf466c7f933210f8162091f06fda3502956d3d6e45d9112187276df25e5", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "uz", "methods": [ { "html": "
O

OpenAI: GPT-4o Mini Transcribe

OpenAI /openai/gpt-4o-mini-transcribe

Boshlash

GPT-4o Mini Transcribe — OpenAI kompaniyasining GPT-4o Mini asosidagi nutqni matnga aylantirish modeli. U audioni JSON transkriptga aylantiradi, yozuvga xos matnli promptlar va fayl natijalarini oqimli uzatishni qo‘llaydi hamda transkriptni maqsadli tekshirish uchun token logarifmik ehtimollarini qaytarishi mumkin.

Qabul qilinadigan kirish ma’lumotlari
Audio
Natijalar
Matn
Model haqida

Bu tavsif model imkoniyatlarini yoritadi. Ailoot da tanlangan usul uchun mavjud kirish, chiqish va parametrlar quyida keltirilgan.

GPT-4o Mini Transcribe — OpenAI kompaniyasining GPT-4o Mini asosidagi nutqni matnga aylantirish modeli. U ixtiyoriy matnli yo‘riq bilan audioni qabul qilib, tanilgan matn chiqaradi. Bu GPT-4o dan foydalanadigan GPT-4o Transcribe va alohida kalit so‘z hamda ko‘p til ko‘rsatmalari maydonlariga ega yangi GPT Transcribe profilidan farq qiladigan modeldir. Bu yerdagi foydali artefakt — qidirish, ko‘rib chiqish yoki keyingi kontent ishlovi uchun tayyorlangan, yozuvdagi asl nutq transkripti.

Yozuvni tayyorlash

OpenAI ning fayldan transkripsiya qilish qo‘llanmasi 25 MB gacha audio yuklashni qabul qiladi. Joriy endpoint ma’lumotnomasida FLAC, MP3, MP4, MPEG, MPGA, M4A, OGG, WAV va WebM hamda audio formatini aniqlash uchun yetarli fayl nomi va kontent turi metama’lumotlari ko‘rsatilgan. Kattaroq yozuvlarni siqish yoki 25 MB dan oshmaydigan qismlarga bo‘lish mumkin. Bo‘lishda gap chegaralarini saqlang; matnni keyin to‘g‘ri tartibda yig‘ish uchun har bir qismni manba yozuvi va undagi o‘rni bilan bog‘lang.

Ovozli qaydlarda har bir yozuv uchun manbasi aniqlanadigan bitta transkriptni saqlang, matndan vazifalar yaratishdan oldin ismlar va sonlarni tekshiring. Og‘zaki darsda tanilgan so‘zlarni nashr uchun tahrirlashdan oldin asl ko‘rsatmalar bilan solishtiring. Foydali tayyorlash topshirig‘i nutq tili va noto‘g‘ri eshitilishi mumkin bo‘lgan terminlarni belgilaydi. So‘zlarni transkripsiya qilish birinchi bosqichdir; keyin tekshirilgan transkriptni talqin, qisqacha bayon yoki tarjima uchun ishlatish mumkin.

Prompt yo‘riqlari va bitta til ko‘rsatmasi

Mavjud GPT-4o Mini Transcribe integratsiyalari erkin shakldagi promptni qo‘llaydi. OpenAI ismlar, qisqartmalar, yozuvga xos lug‘at, tinish belgilari, bosh harflar, to‘ldiruvchi so‘zlar va kerakli yozuv tizimi uchun promptlarni tasvirlaydi. Endpoint ma’lumotnomasiga ko‘ra, prompt audio tiliga mos kelishi kerak va oldingi audio segment kontekstini berishi mumkin. Transkripsiya promptidan cheklanmagan chat ko‘rsatmasi kabi ishlashni so‘rash o‘rniga, tegishli yozilishlar yoki mavzuning qisqa tavsifini qo‘shing.

Bu modelning mavjud til ko‘rsatmasi bitta tilni bildiruvchi language maydonidan foydalanadi. Ishlab chiqaruvchi ma’lumotnomasi ISO 639-1 kirish tili kodini, masalan en ni hujjatlashtiradi. Alohida keywords va ko‘plikdagi languages maydonlari GPT Transcribe uchun hujjatlashtirilgan; ular bu Mini profiliga kirmaydi. Yozuvlar seriyasida har bir kirish bilan mo‘ljallangan nutq tili sozlamasini saqlang, uni natijani tarjima qilish so‘rovi deb talqin qilmang.

JSON natijasi va ixtiyoriy token ehtimollari

Joriy endpoint ma’lumotnomasi JSON ni GPT-4o Mini Transcribe qo‘llaydigan javob formati sifatida hujjatlashtiradi. Tanilgan so‘zlar text maydonida ko‘rinadi. So‘ralganda JSON javobiga token logarifmik ehtimollari ham qo‘shilishi mumkin; bu qiymatlar model token ehtimollarini ifodalaydi va batafsilroq tekshiriladigan materialni topishga yordam berishi mumkin. Ular ism, son yoki gap audio bilan mosligini isbotlamaydi. Shubhali so‘zni tuzatish kerakligini yozuv yordamida hal qiling.

Odatiy Mini transkripsiya profili shu JSON talablari orqali modelning o‘z SRT, VTT, batafsil so‘z vaqt belgilari yoki so‘zlovchi yorliqli chiqishini bermaydi. OpenAI bu imkoniyatlar uchun maxsus modellar va formatlarni hujjatlashtiradi. Kerakli artefakt subtitr yo‘li bo‘lsa, faqat matnli natijada subtitr chegaralari allaqachon bor deb hisoblamasdan, tekshirilgan transkriptni alohida vaqt belgilash jarayoni uchun saqlang.

Fayl chiqishini oqimli uzatish va hujjatlashtirilgan rejimlar

Ishlab chiqaruvchining nutqni matnga aylantirish qo‘llanmasi mavjud GPT-4o Mini Transcribe integratsiyalari fayldan oqimli uzatishni qo‘llashini aniq aytadi. Tugallangan yozuv qayta ishlanayotganda qisman transkript matni, keyin yakuniy natija hosil bo‘lishi mumkin. Yakuniy transkriptni tugallangan artefakt sifatida saqlang; qisman matn paydo bo‘lishi fayl jarayoni jonli mikrofon audiosini uzluksiz qabul qilayotganini anglatmaydi. Model kartasida transkripsiya va Realtime endpoint oilalari alohida sanab o‘tilgan. Ishlab chiqaruvchining bu interfeyslari boshqa transkripsiya modelining har bir sessiya maydoni bu yerda ham qo‘llanadi degani emas.

Kontekst, chiqish limiti va foydali tekshiruvlar

OpenAI ning joriy model spetsifikatsiyasida 16,000 tokenli kontekst oynasi, ko‘pi bilan 2,000 chiqish tokeni va 2024-yil 1-iyundagi bilimlar chegarasi ko‘rsatilgan. Bular audio yozuvi uchun universal daqiqalar davomiyligi emas, model spetsifikatsiyasi qiymatlaridir. Fayl hajmi qoidasi va token limiti turli cheklovlarni ifodalaydi. Uzunroq material uchun yozuvni hujjatlashtirilgan fayl jarayoni asosida tayyorlang, tegishli kontekstni qismlar orasida uzating va yakuniy matnda manbaning oxiri ham borligini tekshiring.

Foydali Mini Transcribe natijasi so‘zlarni va ularning yozuv bilan bog‘lanishini saqlaydi; ixtiyoriy ehtimol ma’lumotlari tahririy tuzatishlardan alohida turadi. Notanish lug‘at, aksentlar, fon shovqini, til almashishlari va bir vaqtda gapirishni asl audio mavjud holda tekshiring. Matnni o‘qishga qulay qilish uchun tahrirlayotganda, keyingi foydalanuvchilar qaysi so‘zlar yozuvdan olinganini va qaysilari tayyorlash vaqtida o‘zgartirilganini bilishi uchun tahririy versiyani tanilgan transkriptdan ajrating.

Ailoot da mavjud · kirish ma’lumotlari va usullar

Ailoot Ultra · Transkripsiya POST /v1/audio/transcriptions
Kirish
audio
Chiqish
text
MaydonTurTalabQiymatlar va cheklovlarStandart
MaydonmodelTurstringTalabMajburiyQiymatlar va cheklovlar
openai/gpt-4o-mini-transcribe
Standart—
Maydoninput_audioTurobjectTalabMajburiyQiymatlar va cheklovlarStandart—
Usul parametrlari va hayot sikli
ParametrParametr talablari
Parametrcontent_typeParametr talablariapplication/json
ParametrrequiredParametr talablarimodel, input_audio
Parametrmaterial_typesParametr talablariaudio
Parametrmaterial_conditionsParametr talablariMisol haqiqiy, bo‘sh bo‘lmagan PCM WAV faylingizni o‘qiydi, faylning barcha baytlarini base64 ko‘rinishida kodlaydi va input_audio.format qiymatini wav qilib yuboradi.

Hayot sikli: synchronous_result_then_owned_library

GET /v1/media/tasks/{task_id} · mavjud, egalik qilinadigan media yozuvidan aniq task_id

GET /v1/media/assets/{asset_id}/content

GET /v1/media/assets

GET /v1/media/assets/{asset_id}

Tariflar

Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.

Tezkor rejim
Ko‘rsatilmagan Tezkor rejim tanlanganda
Flex rejimi
Ko‘rsatilmagan flex rejimi tanlanganda
Maksimal fikrlash darajasi
Ko‘rsatilmagan Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda

Ailoot tariflari

Sozlamalar bo‘yicha narxlar

Har bir to‘lovni ko‘rsatilgan shartlarga moslang. Har bir muqobil sozlamalar to‘plami uchun bitta tarifdan foydalaning.

SozlamaTariflar jadvaliHisob birligiTo‘lov
SozlamaTokenlar uchun bazaviy tariflarTariflar jadvaliAsosiy tarifHisob birligi—To‘lov
Kirish · Kirish tokenlari — / 1K token
Chiqish · Chiqish tokenlari — / 1K token
Kirish · Keshdan o‘qish — / 1K token
Kirish · Keshga yozish — / 1K token
Kirish · Keshga yozish, 1 soat — / 1K token
Sozlamakirish tokeniTariflar jadvali—Hisob birligi/ 1K tokenTo‘lov
Kirish $0.0025 / 1K token
Sozlamachiqish tokeniTariflar jadvali—Hisob birligi/ 1K tokenTo‘lov
Chiqish $0.01 / 1K token

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. Summani band qilish va to‘lovni hisoblash tartibi →

So‘rov namunalari

Ailoot Ultra · Transkripsiya

set -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\n: "${AILOOT_AUDIO_FILE:?Set the path to your actual PCM WAV recording}"\nexport AILOOT_AUDIO_FILE\npython3 - <<'PY_REQUEST'\nimport base64, io, json, os, wave\nfrom pathlib import Path\naudio = Path(os.environ['AILOOT_AUDIO_FILE']).read_bytes()\nif not (audio[:4] == b'RIFF' and audio[8:12] == b'WAVE'):\n    raise SystemExit('Supply your actual PCM WAV audio file')\nwith wave.open(io.BytesIO(audio), 'rb') as recording:\n    if recording.getcomptype() != 'NONE' or recording.getnframes() <= 0:\n        raise SystemExit('Supply a nonempty PCM WAV recording')\nrequest = {'model': 'openai/gpt-4o-mini-transcribe', 'input_audio': {'data': base64.b64encode(audio).decode('ascii'), 'format': 'wav'}}\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# Retain the complete original response, headers and actual X-Client-Request-ID.\n# Read existing owned records for recovery; do not resubmit an uncertain operation.\n

Natijalarni olish va saqlash

Ailoot Ultra · Transkripsiya

To‘liq dastlabki javob tanasi, holat va uzatilgan sarlavhalar. Bu ishlovchi universal JSON tuzilmasi, matn maydoni yoki vazifa o‘rovini qo‘shmaydi.

Barcha tayyor natijalarni saqlash

Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.

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.

Asl javobni tekshirish kerak bo‘lsa

Haqiqiy X-Client-Request-ID va to‘liq javobni saqlang. Egalik qilinadigan dastlabki aktivlar va ularning aniq imzolangan mazmun URL larini o‘qing; natijasi noaniq yaratishni hech qachon qayta yubormang.

Javob maydonlari
MaydonTur
Maydontext (when present)Tur
Maydonusage (when present)Tur
Xatolar va keyingi qadamlar
JavobShartKeyingi qadam
Javob400 · invalid_request_errorShartJSON tanasi yoki ochiq ko‘rsatilgan kanonik model ID si yaroqsiz.Keyingi qadamJavobni saqlang va ko‘rsatilgan so‘rov maydonini tuzating.
Javob401 · authentication_errorShartAiloot API kaliti yaroqsiz.Keyingi qadamRuxsat berilgan Ailoot API kalitingizdan foydalaning.
Javob403 · permission_errorShartKalit guruhi bu usulga ruxsat bermaydi.Keyingi qadamQaytarilgan xato tafsilotlarini saqlang.
Javob404 · not_found_errorShartTanlangan usul uchun ruxsat etilgan yo‘nalish yo‘q.Keyingi qadamQaytarilgan xato tafsilotlarini saqlang.
Javob422 · price_unavailableShartQabul qilingan tarif zarur kirish miqdorini yoki chegarasini aniqlay olmaydi.Keyingi qadamJavobni saqlang; qabul qilingan tarif talab qiladigan kirish ko‘rinishidan foydalaning.
Javob503 · ShartZarur saqlov, yo‘nalish, usul narxi yoki mablag‘ni band qilish imkoniyati mavjud emas.Keyingi qadamTo‘liq dastlabki javobni saqlang. Noaniq mablag‘ band qilish qayta yuborishga ruxsat bermaydi.
Javob502 · server_errorShartDastlabki natija, foydalanish ma’lumoti yoki hisob-kitobni tekshirish talab qilinadi.Keyingi qadamHaqiqiy so‘rov ID si va dastlabki javobni saqlang. Mavjud, egalik qilinadigan yozuvni o‘qing; yaratishni qayta yubormang.

Taxalluslar

Model taxalluslari

Ailoot Ultra openai/gpt-4o-mini-transcribe

Usul yo‘llari taxalluslari

Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.

Chaqirish uchun tegishli ID lar

openai/gpt-4o-mini-transcribe

", "method_identity": { "effective_request_model_id": "openai/gpt-4o-mini-transcribe", "fmt": "transcriptions", "http": "POST", "path": "/v1/audio/transcriptions", "request_model_id": "openai/gpt-4o-mini-transcribe", "route_label": "Ultra" }, "method_key": "Ultra|transcriptions|/v1/audio/transcriptions|openai%2Fgpt-4o-mini-transcribe", "ordinal": 0, "rawMethod": { "available": null, "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.", "errors": [ { "code": null, "condition": "JSON tanasi yoki ochiq ko‘rsatilgan kanonik model ID si yaroqsiz.", "http_status": 400, "recovery": "Javobni saqlang va ko‘rsatilgan so‘rov maydonini tuzating.", "type": "invalid_request_error" }, { "code": null, "condition": "Ailoot API kaliti yaroqsiz.", "http_status": 401, "recovery": "Ruxsat berilgan Ailoot API kalitingizdan foydalaning.", "type": "authentication_error" }, { "code": null, "condition": "Kalit guruhi bu usulga ruxsat bermaydi.", "http_status": 403, "recovery": "Qaytarilgan xato tafsilotlarini saqlang.", "type": "permission_error" }, { "code": null, "condition": "Tanlangan usul uchun ruxsat etilgan yo‘nalish yo‘q.", "http_status": 404, "recovery": "Qaytarilgan xato tafsilotlarini saqlang.", "type": "not_found_error" }, { "code": null, "condition": "Qabul qilingan tarif zarur kirish miqdorini yoki chegarasini aniqlay olmaydi.", "http_status": 422, "recovery": "Javobni saqlang; qabul qilingan tarif talab qiladigan kirish ko‘rinishidan foydalaning.", "type": "price_unavailable" }, { "code": null, "condition": "Zarur saqlov, yo‘nalish, usul narxi yoki mablag‘ni band qilish imkoniyati mavjud emas.", "http_status": 503, "recovery": "To‘liq dastlabki javobni saqlang. Noaniq mablag‘ band qilish qayta yuborishga ruxsat bermaydi.", "type": null }, { "code": null, "condition": "Dastlabki natija, foydalanish ma’lumoti yoki hisob-kitobni tekshirish talab qilinadi.", "http_status": 502, "operation_id_source": "actual X-Client-Request-ID", "recovery": "Haqiqiy so‘rov ID si va dastlabki javobni saqlang. Mavjud, egalik qilinadigan yozuvni o‘qing; yaratishni qayta yubormang.", "response_headers": { "x-should-retry": "false" }, "type": "server_error" } ], "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 content URL" } ], "dedicated_method_polling_or_cancel": false, "mode": "synchronous_result_then_owned_library", "original_POST_adds_task_envelope": false, "status": [ { "http": "GET", "id_source": "exact task_id from an existing owned media record", "path": "/v1/media/tasks/{task_id}" } ], "unknown": "Haqiqiy X-Client-Request-ID va to‘liq javobni saqlang. Egalik qilinadigan dastlabki aktivlar va ularning aniq imzolangan mazmun URL larini o‘qing; natijasi noaniq yaratishni hech qachon 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 (when present)", "type": null }, { "description": null, "name": "usage (when present)", "type": null } ], "result": "To‘liq dastlabki javob tanasi, holat va uzatilgan sarlavhalar. Bu ishlovchi universal JSON tuzilmasi, matn maydoni yoki vazifa o‘rovini qo‘shmaydi." }, "parameters": [ { "default_known": false, "enum": [ "openai/gpt-4o-mini-transcribe" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "default_known": false, "enum_known": false, "name": "input_audio", "required": true, "type": "object" } ], "request_schema": { "properties": { "input_audio": { "properties": { "data": { "contentEncoding": "base64", "type": "string" }, "format": { "type": "string" } }, "required": [ "data", "format" ], "type": "object" }, "model": { "enum": [ "openai/gpt-4o-mini-transcribe" ], "type": "string" } }, "required": [ "model", "input_audio" ], "type": "object" }, "schema_template": { "actual_file_preparation_required": true, "body": { "input_audio": { "data": "${BASE64_ACTUAL_WAV_BYTES}", "format": "wav" }, "model": "openai/gpt-4o-mini-transcribe" }, "content_type": "application/json" } }, "input": { "content_type": "application/json", "material_conditions": [ "Misol haqiqiy, bo‘sh bo‘lmagan PCM WAV faylingizni o‘qiydi, faylning barcha baytlarini base64 ko‘rinishida kodlaydi va input_audio.format qiymatini wav qilib yuboradi." ], "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 content URL" } ], "dedicated_method_polling_or_cancel": false, "mode": "synchronous_result_then_owned_library", "original_POST_adds_task_envelope": false, "status": [ { "http": "GET", "id_source": "mavjud, egalik qilinadigan media yozuvidan aniq task_id", "path": "/v1/media/tasks/{task_id}" } ], "unknown": "Retain the actual X-Client-Request-ID and complete response. Read the original owned assets and their exact signed content URLs; never resubmit an uncertain 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 (when present)", "type": null }, { "description": null, "name": "usage (when present)", "type": null } ], "result": "Complete original response body, status and forwarded headers. No universal JSON shape, text field or task envelope is added by this handler." } }, "ctx": null, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] }, { "dimensions": { "quoted_unit": "/ 1K tokens" }, "label": "input token", "units": [ { "amount": "0.0025000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_token", "label": "input token", "native_amount_usd_per_unit": "0.0000025", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" } ] }, { "dimensions": { "quoted_unit": "/ 1K tokens" }, "label": "output token", "units": [ { "amount": "0.01000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_token", "label": "output token", "native_amount_usd_per_unit": "0.00001", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_AUDIO_FILE:?Set the path to your actual PCM WAV recording}\"\nexport AILOOT_AUDIO_FILE\npython3 - <<'PY_REQUEST'\nimport base64, io, json, os, wave\nfrom pathlib import Path\naudio = Path(os.environ['AILOOT_AUDIO_FILE']).read_bytes()\nif not (audio[:4] == b'RIFF' and audio[8:12] == b'WAVE'):\n raise SystemExit('Supply your actual PCM WAV audio file')\nwith wave.open(io.BytesIO(audio), 'rb') as recording:\n if recording.getcomptype() != 'NONE' or recording.getnframes() <= 0:\n raise SystemExit('Supply a nonempty PCM WAV recording')\nrequest = {'model': 'openai/gpt-4o-mini-transcribe', 'input_audio': {'data': base64.b64encode(audio).decode('ascii'), 'format': 'wav'}}\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# Retain the complete original response, headers and actual X-Client-Request-ID.\n# Read existing owned records for recovery; do not resubmit an uncertain operation.\n", "label": "curl · actual WAV file and complete original result", "language": "bash" } ], "family": "openai", "fast_multiplier": null, "flex_multiplier": null, "fmt": "transcriptions", "hints": [ "The example reads your actual nonempty PCM WAV file, encodes the complete file bytes as base64 and sends input_audio.format as wav.", "The format value in the example is the documented recipe; no model-specific format list, limit or default is asserted.", "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": "per_request", "image_input_price": null, "image_output_price": null, "per_request_price": null, "unit_prices": { "input_token": 2.5e-06, "output_token": 1e-05 } }, "pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] }, { "dimensions": { "quoted_unit": "/ 1K tokens" }, "label": "input token", "units": [ { "amount": "0.0025000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_token", "label": "input token", "native_amount_usd_per_unit": "0.0000025", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" } ] }, { "dimensions": { "quoted_unit": "/ 1K tokens" }, "label": "output token", "units": [ { "amount": "0.01000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_token", "label": "output token", "native_amount_usd_per_unit": "0.00001", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" } ] } ], "request_model_id": "openai/gpt-4o-mini-transcribe", "route_label": "Ultra", "status_reads": [ "GET /v1/media/tasks/{task_id}" ], "tiers": [], "units": [ { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" }, { "amount": "0.0025000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_token", "label": "input token", "native_amount_usd_per_unit": "0.0000025", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0.01000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_token", "label": "output token", "native_amount_usd_per_unit": "0.00001", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" } ] } } ], "model_id": "openai/gpt-4o-mini-transcribe", "nativeProvenance": { "input_facts_canonical_sha256": "538cb715b5ccf41d2356ba11ade70340c97811bf138c816671e80a7114847226", "input_html_sha256": "748be3c368710fa676fb42cc569e7711b551bb2bfadedcea4dd4a895bfe7b858", "private_audit_sha256": "0415a7abbfc3f7d44be6f19325818d137a3cfffa5fd90c5adffb64bbddf07eaa", "role": "historical-normalized-input-audit-hashes", "schema": "ailoot-native-model-provenance-v2" }, "page": { "canonical": "https://ailoot.ai/models/uz/openai-gpt-4o-mini-transcribe/", "description": "GPT-4o Mini Transcribe — OpenAI kompaniyasining GPT-4o Mini asosidagi nutqni matnga aylantirish modeli. U audioni JSON transkriptga aylantiradi, yozuvga xos matnli promptlar va fayl natijalarini oqimli uzatishni qo‘llaydi hamda transkriptni maqsadli tekshirish uchun token logarifmik ehtimollarini qaytarishi mumkin.", "locale": "uz", "md_url": "https://ailoot.ai/models/uz/openai-gpt-4o-mini-transcribe/index.md", "title": "OpenAI: GPT-4o Mini Transcribe — Ailoot", "url": "https://ailoot.ai/models/uz/openai-gpt-4o-mini-transcribe/" }, "rawModel": { "about": "GPT-4o Mini Transcribe — OpenAI kompaniyasining GPT-4o Mini asosidagi nutqni matnga aylantirish modeli. U ixtiyoriy matnli yo‘riq bilan audioni qabul qilib, tanilgan matn chiqaradi. Bu GPT-4o dan foydalanadigan GPT-4o Transcribe va alohida kalit so‘z hamda ko‘p til ko‘rsatmalari maydonlariga ega yangi GPT Transcribe profilidan farq qiladigan modeldir. Bu yerdagi foydali artefakt — qidirish, ko‘rib chiqish yoki keyingi kontent ishlovi uchun tayyorlangan, yozuvdagi asl nutq transkripti.\n\n### Yozuvni tayyorlash\n\nOpenAI ning fayldan transkripsiya qilish qo‘llanmasi 25 MB gacha audio yuklashni qabul qiladi. Joriy endpoint ma’lumotnomasida FLAC, MP3, MP4, MPEG, MPGA, M4A, OGG, WAV va WebM hamda audio formatini aniqlash uchun yetarli fayl nomi va kontent turi metama’lumotlari ko‘rsatilgan. Kattaroq yozuvlarni siqish yoki 25 MB dan oshmaydigan qismlarga bo‘lish mumkin. Bo‘lishda gap chegaralarini saqlang; matnni keyin to‘g‘ri tartibda yig‘ish uchun har bir qismni manba yozuvi va undagi o‘rni bilan bog‘lang.\n\nOvozli qaydlarda har bir yozuv uchun manbasi aniqlanadigan bitta transkriptni saqlang, matndan vazifalar yaratishdan oldin ismlar va sonlarni tekshiring. Og‘zaki darsda tanilgan so‘zlarni nashr uchun tahrirlashdan oldin asl ko‘rsatmalar bilan solishtiring. Foydali tayyorlash topshirig‘i nutq tili va noto‘g‘ri eshitilishi mumkin bo‘lgan terminlarni belgilaydi. So‘zlarni transkripsiya qilish birinchi bosqichdir; keyin tekshirilgan transkriptni talqin, qisqacha bayon yoki tarjima uchun ishlatish mumkin.\n\n### Prompt yo‘riqlari va bitta til ko‘rsatmasi\n\nMavjud GPT-4o Mini Transcribe integratsiyalari erkin shakldagi promptni qo‘llaydi. OpenAI ismlar, qisqartmalar, yozuvga xos lug‘at, tinish belgilari, bosh harflar, to‘ldiruvchi so‘zlar va kerakli yozuv tizimi uchun promptlarni tasvirlaydi. Endpoint ma’lumotnomasiga ko‘ra, prompt audio tiliga mos kelishi kerak va oldingi audio segment kontekstini berishi mumkin. Transkripsiya promptidan cheklanmagan chat ko‘rsatmasi kabi ishlashni so‘rash o‘rniga, tegishli yozilishlar yoki mavzuning qisqa tavsifini qo‘shing.\n\nBu modelning mavjud til ko‘rsatmasi bitta tilni bildiruvchi language maydonidan foydalanadi. Ishlab chiqaruvchi ma’lumotnomasi ISO 639-1 kirish tili kodini, masalan en ni hujjatlashtiradi. Alohida keywords va ko‘plikdagi languages maydonlari GPT Transcribe uchun hujjatlashtirilgan; ular bu Mini profiliga kirmaydi. Yozuvlar seriyasida har bir kirish bilan mo‘ljallangan nutq tili sozlamasini saqlang, uni natijani tarjima qilish so‘rovi deb talqin qilmang.\n\n### JSON natijasi va ixtiyoriy token ehtimollari\n\nJoriy endpoint ma’lumotnomasi JSON ni GPT-4o Mini Transcribe qo‘llaydigan javob formati sifatida hujjatlashtiradi. Tanilgan so‘zlar text maydonida ko‘rinadi. So‘ralganda JSON javobiga token logarifmik ehtimollari ham qo‘shilishi mumkin; bu qiymatlar model token ehtimollarini ifodalaydi va batafsilroq tekshiriladigan materialni topishga yordam berishi mumkin. Ular ism, son yoki gap audio bilan mosligini isbotlamaydi. Shubhali so‘zni tuzatish kerakligini yozuv yordamida hal qiling.\n\nOdatiy Mini transkripsiya profili shu JSON talablari orqali modelning o‘z SRT, VTT, batafsil so‘z vaqt belgilari yoki so‘zlovchi yorliqli chiqishini bermaydi. OpenAI bu imkoniyatlar uchun maxsus modellar va formatlarni hujjatlashtiradi. Kerakli artefakt subtitr yo‘li bo‘lsa, faqat matnli natijada subtitr chegaralari allaqachon bor deb hisoblamasdan, tekshirilgan transkriptni alohida vaqt belgilash jarayoni uchun saqlang.\n\n### Fayl chiqishini oqimli uzatish va hujjatlashtirilgan rejimlar\n\nIshlab chiqaruvchining nutqni matnga aylantirish qo‘llanmasi mavjud GPT-4o Mini Transcribe integratsiyalari fayldan oqimli uzatishni qo‘llashini aniq aytadi. Tugallangan yozuv qayta ishlanayotganda qisman transkript matni, keyin yakuniy natija hosil bo‘lishi mumkin. Yakuniy transkriptni tugallangan artefakt sifatida saqlang; qisman matn paydo bo‘lishi fayl jarayoni jonli mikrofon audiosini uzluksiz qabul qilayotganini anglatmaydi. Model kartasida transkripsiya va Realtime endpoint oilalari alohida sanab o‘tilgan. Ishlab chiqaruvchining bu interfeyslari boshqa transkripsiya modelining har bir sessiya maydoni bu yerda ham qo‘llanadi degani emas.\n\n### Kontekst, chiqish limiti va foydali tekshiruvlar\n\nOpenAI ning joriy model spetsifikatsiyasida 16,000 tokenli kontekst oynasi, ko‘pi bilan 2,000 chiqish tokeni va 2024-yil 1-iyundagi bilimlar chegarasi ko‘rsatilgan. Bular audio yozuvi uchun universal daqiqalar davomiyligi emas, model spetsifikatsiyasi qiymatlaridir. Fayl hajmi qoidasi va token limiti turli cheklovlarni ifodalaydi. Uzunroq material uchun yozuvni hujjatlashtirilgan fayl jarayoni asosida tayyorlang, tegishli kontekstni qismlar orasida uzating va yakuniy matnda manbaning oxiri ham borligini tekshiring.\n\nFoydali Mini Transcribe natijasi so‘zlarni va ularning yozuv bilan bog‘lanishini saqlaydi; ixtiyoriy ehtimol ma’lumotlari tahririy tuzatishlardan alohida turadi. Notanish lug‘at, aksentlar, fon shovqini, til almashishlari va bir vaqtda gapirishni asl audio mavjud holda tekshiring. Matnni o‘qishga qulay qilish uchun tahrirlayotganda, keyingi foydalanuvchilar qaysi so‘zlar yozuvdan olinganini va qaysilari tayyorlash vaqtida o‘zgartirilganini bilishi uchun tahririy versiyani tanilgan transkriptdan ajrating.", "alias_of": null, "aliases": [], "author": "OpenAI", "capabilities": { "context_length": 128000, "manufacturer_input": [ "audio" ], "manufacturer_output": [ "transcription" ] }, "card_routes": [ { "label": "Ultra", "rates": [ { "amount": "0.0025000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_token", "label": "input token", "native_amount_usd_per_unit": "0.0000025", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0.01000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_token", "label": "output token", "native_amount_usd_per_unit": "0.00001", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" } ], "summary": "Konfiguratsiya narxlari tafsilotlarda to‘liq ko‘rsatilgan." } ], "ctx": null, "formats": [ "transcriptions" ], "id": "openai/gpt-4o-mini-transcribe", "input": [ "audio" ], "kind": "audio", "max_out": null, "methods": [ { "available": null, "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.", "errors": [ { "code": null, "condition": "JSON tanasi yoki ochiq ko‘rsatilgan kanonik model ID si yaroqsiz.", "http_status": 400, "recovery": "Javobni saqlang va ko‘rsatilgan so‘rov maydonini tuzating.", "type": "invalid_request_error" }, { "code": null, "condition": "Ailoot API kaliti yaroqsiz.", "http_status": 401, "recovery": "Ruxsat berilgan Ailoot API kalitingizdan foydalaning.", "type": "authentication_error" }, { "code": null, "condition": "Kalit guruhi bu usulga ruxsat bermaydi.", "http_status": 403, "recovery": "Qaytarilgan xato tafsilotlarini saqlang.", "type": "permission_error" }, { "code": null, "condition": "Tanlangan usul uchun ruxsat etilgan yo‘nalish yo‘q.", "http_status": 404, "recovery": "Qaytarilgan xato tafsilotlarini saqlang.", "type": "not_found_error" }, { "code": null, "condition": "Qabul qilingan tarif zarur kirish miqdorini yoki chegarasini aniqlay olmaydi.", "http_status": 422, "recovery": "Javobni saqlang; qabul qilingan tarif talab qiladigan kirish ko‘rinishidan foydalaning.", "type": "price_unavailable" }, { "code": null, "condition": "Zarur saqlov, yo‘nalish, usul narxi yoki mablag‘ni band qilish imkoniyati mavjud emas.", "http_status": 503, "recovery": "To‘liq dastlabki javobni saqlang. Noaniq mablag‘ band qilish qayta yuborishga ruxsat bermaydi.", "type": null }, { "code": null, "condition": "Dastlabki natija, foydalanish ma’lumoti yoki hisob-kitobni tekshirish talab qilinadi.", "http_status": 502, "operation_id_source": "actual X-Client-Request-ID", "recovery": "Haqiqiy so‘rov ID si va dastlabki javobni saqlang. Mavjud, egalik qilinadigan yozuvni o‘qing; yaratishni qayta yubormang.", "response_headers": { "x-should-retry": "false" }, "type": "server_error" } ], "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 content URL" } ], "dedicated_method_polling_or_cancel": false, "mode": "synchronous_result_then_owned_library", "original_POST_adds_task_envelope": false, "status": [ { "http": "GET", "id_source": "exact task_id from an existing owned media record", "path": "/v1/media/tasks/{task_id}" } ], "unknown": "Haqiqiy X-Client-Request-ID va to‘liq javobni saqlang. Egalik qilinadigan dastlabki aktivlar va ularning aniq imzolangan mazmun URL larini o‘qing; natijasi noaniq yaratishni hech qachon 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 (when present)", "type": null }, { "description": null, "name": "usage (when present)", "type": null } ], "result": "To‘liq dastlabki javob tanasi, holat va uzatilgan sarlavhalar. Bu ishlovchi universal JSON tuzilmasi, matn maydoni yoki vazifa o‘rovini qo‘shmaydi." }, "parameters": [ { "default_known": false, "enum": [ "openai/gpt-4o-mini-transcribe" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "default_known": false, "enum_known": false, "name": "input_audio", "required": true, "type": "object" } ], "request_schema": { "properties": { "input_audio": { "properties": { "data": { "contentEncoding": "base64", "type": "string" }, "format": { "type": "string" } }, "required": [ "data", "format" ], "type": "object" }, "model": { "enum": [ "openai/gpt-4o-mini-transcribe" ], "type": "string" } }, "required": [ "model", "input_audio" ], "type": "object" }, "schema_template": { "actual_file_preparation_required": true, "body": { "input_audio": { "data": "${BASE64_ACTUAL_WAV_BYTES}", "format": "wav" }, "model": "openai/gpt-4o-mini-transcribe" }, "content_type": "application/json" } }, "input": { "content_type": "application/json", "material_conditions": [ "Misol haqiqiy, bo‘sh bo‘lmagan PCM WAV faylingizni o‘qiydi, faylning barcha baytlarini base64 ko‘rinishida kodlaydi va input_audio.format qiymatini wav qilib yuboradi." ], "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 content URL" } ], "dedicated_method_polling_or_cancel": false, "mode": "synchronous_result_then_owned_library", "original_POST_adds_task_envelope": false, "status": [ { "http": "GET", "id_source": "mavjud, egalik qilinadigan media yozuvidan aniq task_id", "path": "/v1/media/tasks/{task_id}" } ], "unknown": "Retain the actual X-Client-Request-ID and complete response. Read the original owned assets and their exact signed content URLs; never resubmit an uncertain 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 (when present)", "type": null }, { "description": null, "name": "usage (when present)", "type": null } ], "result": "Complete original response body, status and forwarded headers. No universal JSON shape, text field or task envelope is added by this handler." } }, "ctx": null, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "cached_input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_price", "label": "Cache write", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "generic_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_write_1h_price", "label": "Cache write, 1 hour", "native_amount_usd_per_unit": null, "native_quantity": 1, "native_unit": "one_hour_cache_creation_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] }, { "dimensions": { "quoted_unit": "/ 1K tokens" }, "label": "input token", "units": [ { "amount": "0.0025000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_token", "label": "input token", "native_amount_usd_per_unit": "0.0000025", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" } ] }, { "dimensions": { "quoted_unit": "/ 1K tokens" }, "label": "output token", "units": [ { "amount": "0.01000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_token", "label": "output token", "native_amount_usd_per_unit": "0.00001", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_AUDIO_FILE:?Set the path to your actual PCM WAV recording}\"\nexport AILOOT_AUDIO_FILE\npython3 - <<'PY_REQUEST'\nimport base64, io, json, os, wave\nfrom pathlib import Path\naudio = Path(os.environ['AILOOT_AUDIO_FILE']).read_bytes()\nif not (audio[:4] == b'RIFF' and audio[8:12] == b'WAVE'):\n raise SystemExit('Supply your actual PCM WAV audio file')\nwith wave.open(io.BytesIO(audio), 'rb') as recording:\n if recording.getcomptype() != 'NONE' or recording.getnframes() <= 0:\n raise SystemExit('Supply a nonempty PCM WAV recording')\nrequest = {'model': 'openai/gpt-4o-mini-transcribe', 'input_audio': {'data': base64.b64encode(audio).decode('ascii'), 'format': 'wav'}}\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# Retain the complete original response, headers and actual X-Client-Request-ID.\n# Read existing owned records for recovery; do not resubmit an uncertain operation.\n", "label": "curl · actual WAV file and complete original result", "language": "bash" } ], "family": "openai", "fast_multiplier": null, "flex_multiplier": null, "fmt": "transcriptions", "hints": [ "The example reads your actual nonempty PCM WAV file, encodes the complete file bytes as base64 and sends input_audio.format as wav.", "The format value in the example is the documented recipe; no model-specific format list, limit or default is asserted.", "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": "per_request", "image_input_price": null, "image_output_price": null, "per_request_price": null, "unit_prices": { "input_token": 2.5e-06, "output_token": 1e-05 } }, "pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "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": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "cache_read_price", "label": "Cache read", "native_amount_usd_per_unit": null, 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U audioni JSON transkriptga aylantiradi, yozuvga xos matnli promptlar va fayl natijalarini oqimli uzatishni qo‘llaydi hamda transkriptni maqsadli tekshirish uchun token logarifmik ehtimollarini qaytarishi mumkin." }, "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": "GPT-4o Mini Transcribe — OpenAI kompaniyasining GPT-4o Mini asosidagi nutqni matnga aylantirish modeli. U audioni JSON transkriptga aylantiradi, yozuvga xos matnli promptlar va fayl natijalarini oqimli uzatishni qo‘llaydi hamda transkriptni maqsadli tekshirish uchun token logarifmik ehtimollarini qaytarishi mumkin.", "source": { "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1", "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036", "raw_model_json_sha256": "e414509f7fe4b82c94d12cf6b73aba390b32f70b3fc9d5825289b736a5c9279c", "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6" }, "sourceRevision": "32af70e6d4032f6fa24b0607f3c4850a0f03be6fd8fbc37b1885f508aa8fe648" }