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  "aboutHtml": "<p>Voyage Finance 2 — moliyaviy material bo‘yicha qidiruvga ixtisoslashgan matn embedding modeli. U berilgan parchalar va qidiruv savollarini ilovaga tegishli manba matnini topishga yordam beradigan vektorlarga aylantiradi. Ishlab chiqaruvchining moliyaviy baholash to‘plamiga rasmiy taqdim etilgan, ommaga ochiq hujjatlar, moliyaviy hisobotlar, korporativ yangiliklar va moliyaga oid savol-javob materiallari kiradi; bu nashrning sohaga tegishli dalillarni topishga qaratilganini aks ettiradi.</p><p>Ma’lumot ajratishda moliyaviy ma’no saqlanadigan qilib korpusni tayyorlang. Raqamni uning yorlig‘i, davri, birligi va atrof izohi bilan saqlang. Kompaniya nomi yoki hisobot davrisiz daromad qiymatini qidiruv natijasida to‘g‘ri talqin qilish qiyin. Matnga aylantirilgan jadvalda satr va ustun sarlavhalarini saqlang hamda qaysi qiymatlar bir-biriga tegishli ekanini ko‘rsating. Tekshirish uchun asl hujjat va sahifa yoki bo‘lim joylashuvini saqlang.</p><p>Model 32 000 tokenli kontekst oynasini qo‘llab-quvvatlaydi va 1 024 o‘lchamli embeddinglar qaytaradi. Mavjud kirish joyidan to‘liq, tushunarli parchalar uchun foydalaning, chegaralarni esa mo‘ljallangan natijaga mos tanlang. Bitta keng bo‘lim hisobotni topishga yordam berishi, aniq parcha esa savolga javob beradigan muayyan bayonotni ko‘rsatishi mumkin. Indeks metama’lumotlarida hujjat bilan bog‘lanishni ham, parcha joylashuvini ham saqlang.</p><p>Qidiruv savollarini vazifaga muhim farqlar bilan yozing. «So‘nggi hisobot choragida operatsion marja o‘zgarishini nima izohlaydi?» savoli faqat marja qiymatini so‘raydigan savoldan boshqa parchani talab qiladi. Ma’lum bo‘lsa, kompaniya, hisobot davri yoki biznes segmentini kiriting. To‘g‘ri dalil qaytarilishini ko‘rish uchun o‘xshash savollarni sanalari yaqin va atamalari o‘xshash hujjatlarda sinang.</p><p>Korpus va qidiruv so‘rovlaridan embedding olish uchun ayni modeldan foydalaning. Har bir chiqish vektorining kirish parchasi bilan mosligini saqlang, so‘ng qidiruv natijasi orqali asl matn va manba havolasini ko‘rsating. Moliya yordamchisi aytilgan har qanday miqdor yoki izohni tekshirish uchun kerakli havolalarni saqlab, tanlangan dalillarni javob yaratish bosqichiga uzatishi mumkin.</p><p>Ilovaga shu farqlar kerak bo‘lsa, hisobotlar, yangiliklar va izohli materialni metama’lumotlar bilan ajrating. E’lon qilingan sana va hisobot davrini alohida saqlang; ular moliyaviy yozuvning turli jihatlarini tavsiflaydi. Hujjat qayta ko‘rilganda, versiyalar bog‘lanishini saqlang va qidiruv natijasi kerakli manbaga olib borishi uchun tegishli parchalarni yangilang.</p><p>Tizimni javoblari moliyaviy atamalar va hujjat kontekstiga bog‘liq savollar bilan baholang. Foydali holatlarga o‘zgarishni tushuntiradigan parcha, kerakli qiymat bor jadval va ayni ko‘rsatkichni turli davrlar uchun ishlatadigan bir nechta hisobot kiradi. Qaytarilgan matn so‘rovdan taxmin qilmasdan tegishli subyekt va davrni aniqlash uchun yetarli ma’lumot berishini tekshiring.</p><p>Model moliyaviy bilim bazasi, tadqiqot arxivi yoki dalil tanlash jarayoni uchun qidiruv vektorlarini beradi. Sonlarni tekshirish va asos bo‘lgan hujjatni o‘qishni ilovaning tekshiruv jarayonida saqlang. Tegishli parcha qiymat, bog‘lanish yoki bayonotni tekshirishning boshlang‘ich nuqtasidir; yakuniy izohning asosi baribir uning manba kontentidir. Ma’lumot ajratish va indekslashdagi yaxshilanishlarni ayni moliyaviy vazifalarda baholash uchun kutilgan parchalari ma’lum haqiqiy savollar to‘plamini saqlang.</p>",
  "aboutText": "Voyage Finance 2 — moliyaviy material bo‘yicha qidiruvga ixtisoslashgan matn embedding modeli. U berilgan parchalar va qidiruv savollarini ilovaga tegishli manba matnini topishga yordam beradigan vektorlarga aylantiradi. Ishlab chiqaruvchining moliyaviy baholash to‘plamiga rasmiy taqdim etilgan, ommaga ochiq hujjatlar, moliyaviy hisobotlar, korporativ yangiliklar va moliyaga oid savol-javob materiallari kiradi; bu nashrning sohaga tegishli dalillarni topishga qaratilganini aks ettiradi.\n\nMa’lumot ajratishda moliyaviy ma’no saqlanadigan qilib korpusni tayyorlang. Raqamni uning yorlig‘i, davri, birligi va atrof izohi bilan saqlang. Kompaniya nomi yoki hisobot davrisiz daromad qiymatini qidiruv natijasida to‘g‘ri talqin qilish qiyin. Matnga aylantirilgan jadvalda satr va ustun sarlavhalarini saqlang hamda qaysi qiymatlar bir-biriga tegishli ekanini ko‘rsating. Tekshirish uchun asl hujjat va sahifa yoki bo‘lim joylashuvini saqlang.\n\nModel 32 000 tokenli kontekst oynasini qo‘llab-quvvatlaydi va 1 024 o‘lchamli embeddinglar qaytaradi. Mavjud kirish joyidan to‘liq, tushunarli parchalar uchun foydalaning, chegaralarni esa mo‘ljallangan natijaga mos tanlang. Bitta keng bo‘lim hisobotni topishga yordam berishi, aniq parcha esa savolga javob beradigan muayyan bayonotni ko‘rsatishi mumkin. Indeks metama’lumotlarida hujjat bilan bog‘lanishni ham, parcha joylashuvini ham saqlang.\n\nQidiruv savollarini vazifaga muhim farqlar bilan yozing. «So‘nggi hisobot choragida operatsion marja o‘zgarishini nima izohlaydi?» savoli faqat marja qiymatini so‘raydigan savoldan boshqa parchani talab qiladi. Ma’lum bo‘lsa, kompaniya, hisobot davri yoki biznes segmentini kiriting. To‘g‘ri dalil qaytarilishini ko‘rish uchun o‘xshash savollarni sanalari yaqin va atamalari o‘xshash hujjatlarda sinang.\n\nKorpus va qidiruv so‘rovlaridan embedding olish uchun ayni modeldan foydalaning. Har bir chiqish vektorining kirish parchasi bilan mosligini saqlang, so‘ng qidiruv natijasi orqali asl matn va manba havolasini ko‘rsating. Moliya yordamchisi aytilgan har qanday miqdor yoki izohni tekshirish uchun kerakli havolalarni saqlab, tanlangan dalillarni javob yaratish bosqichiga uzatishi mumkin.\n\nIlovaga shu farqlar kerak bo‘lsa, hisobotlar, yangiliklar va izohli materialni metama’lumotlar bilan ajrating. E’lon qilingan sana va hisobot davrini alohida saqlang; ular moliyaviy yozuvning turli jihatlarini tavsiflaydi. Hujjat qayta ko‘rilganda, versiyalar bog‘lanishini saqlang va qidiruv natijasi kerakli manbaga olib borishi uchun tegishli parchalarni yangilang.\n\nTizimni javoblari moliyaviy atamalar va hujjat kontekstiga bog‘liq savollar bilan baholang. Foydali holatlarga o‘zgarishni tushuntiradigan parcha, kerakli qiymat bor jadval va ayni ko‘rsatkichni turli davrlar uchun ishlatadigan bir nechta hisobot kiradi. Qaytarilgan matn so‘rovdan taxmin qilmasdan tegishli subyekt va davrni aniqlash uchun yetarli ma’lumot berishini tekshiring.\n\nModel moliyaviy bilim bazasi, tadqiqot arxivi yoki dalil tanlash jarayoni uchun qidiruv vektorlarini beradi. Sonlarni tekshirish va asos bo‘lgan hujjatni o‘qishni ilovaning tekshiruv jarayonida saqlang. Tegishli parcha qiymat, bog‘lanish yoki bayonotni tekshirishning boshlang‘ich nuqtasidir; yakuniy izohning asosi baribir uning manba kontentidir. Ma’lumot ajratish va indekslashdagi yaxshilanishlarni ayni moliyaviy vazifalarda baholash uchun kutilgan parchalari ma’lum haqiqiy savollar to‘plamini saqlang.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">Voyage AI: Voyage Finance 2</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Yopish\">×</button></div><div class=\"idline\"><span>Voyage AI /</span><code>voyage-finance-2</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|embeddings|/v1/embeddings|voyage-finance-2\">Embeddinglar</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\">Voyage Finance 2 hujjat qidiruvi va RAG uchun moliyaviy matndan embeddinglar yaratadi. Uning 32 000 tokenli oynasi va 1 024 o‘lchamli vektorlari natijalarni asl dalillarga bog‘liq saqlagan holda rasmiy taqdim etilgan hujjatlar, moliyaviy hisobotlar va moliya yangiliklari bo‘yicha qidiruvni qo‘llab-quvvatlaydi.</p><dl class=\"card-io\" data-card-io><div><dt>Qabul qilinadigan kirish ma’lumotlari</dt><dd>Matn</dd></div><div><dt>Natijalar</dt><dd>embedding</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>Voyage Finance 2 — moliyaviy material bo‘yicha qidiruvga ixtisoslashgan matn embedding modeli. U berilgan parchalar va qidiruv savollarini ilovaga tegishli manba matnini topishga yordam beradigan vektorlarga aylantiradi. Ishlab chiqaruvchining moliyaviy baholash to‘plamiga rasmiy taqdim etilgan, ommaga ochiq hujjatlar, moliyaviy hisobotlar, korporativ yangiliklar va moliyaga oid savol-javob materiallari kiradi; bu nashrning sohaga tegishli dalillarni topishga qaratilganini aks ettiradi.</p><p>Ma’lumot ajratishda moliyaviy ma’no saqlanadigan qilib korpusni tayyorlang. Raqamni uning yorlig‘i, davri, birligi va atrof izohi bilan saqlang. Kompaniya nomi yoki hisobot davrisiz daromad qiymatini qidiruv natijasida to‘g‘ri talqin qilish qiyin. Matnga aylantirilgan jadvalda satr va ustun sarlavhalarini saqlang hamda qaysi qiymatlar bir-biriga tegishli ekanini ko‘rsating. Tekshirish uchun asl hujjat va sahifa yoki bo‘lim joylashuvini saqlang.</p><p>Model 32 000 tokenli kontekst oynasini qo‘llab-quvvatlaydi va 1 024 o‘lchamli embeddinglar qaytaradi. Mavjud kirish joyidan to‘liq, tushunarli parchalar uchun foydalaning, chegaralarni esa mo‘ljallangan natijaga mos tanlang. Bitta keng bo‘lim hisobotni topishga yordam berishi, aniq parcha esa savolga javob beradigan muayyan bayonotni ko‘rsatishi mumkin. Indeks metama’lumotlarida hujjat bilan bog‘lanishni ham, parcha joylashuvini ham saqlang.</p><p>Qidiruv savollarini vazifaga muhim farqlar bilan yozing. «So‘nggi hisobot choragida operatsion marja o‘zgarishini nima izohlaydi?» savoli faqat marja qiymatini so‘raydigan savoldan boshqa parchani talab qiladi. Ma’lum bo‘lsa, kompaniya, hisobot davri yoki biznes segmentini kiriting. To‘g‘ri dalil qaytarilishini ko‘rish uchun o‘xshash savollarni sanalari yaqin va atamalari o‘xshash hujjatlarda sinang.</p><p>Korpus va qidiruv so‘rovlaridan embedding olish uchun ayni modeldan foydalaning. Har bir chiqish vektorining kirish parchasi bilan mosligini saqlang, so‘ng qidiruv natijasi orqali asl matn va manba havolasini ko‘rsating. Moliya yordamchisi aytilgan har qanday miqdor yoki izohni tekshirish uchun kerakli havolalarni saqlab, tanlangan dalillarni javob yaratish bosqichiga uzatishi mumkin.</p><p>Ilovaga shu farqlar kerak bo‘lsa, hisobotlar, yangiliklar va izohli materialni metama’lumotlar bilan ajrating. E’lon qilingan sana va hisobot davrini alohida saqlang; ular moliyaviy yozuvning turli jihatlarini tavsiflaydi. Hujjat qayta ko‘rilganda, versiyalar bog‘lanishini saqlang va qidiruv natijasi kerakli manbaga olib borishi uchun tegishli parchalarni yangilang.</p><p>Tizimni javoblari moliyaviy atamalar va hujjat kontekstiga bog‘liq savollar bilan baholang. Foydali holatlarga o‘zgarishni tushuntiradigan parcha, kerakli qiymat bor jadval va ayni ko‘rsatkichni turli davrlar uchun ishlatadigan bir nechta hisobot kiradi. Qaytarilgan matn so‘rovdan taxmin qilmasdan tegishli subyekt va davrni aniqlash uchun yetarli ma’lumot berishini tekshiring.</p><p>Model moliyaviy bilim bazasi, tadqiqot arxivi yoki dalil tanlash jarayoni uchun qidiruv vektorlarini beradi. Sonlarni tekshirish va asos bo‘lgan hujjatni o‘qishni ilovaning tekshiruv jarayonida saqlang. Tegishli parcha qiymat, bog‘lanish yoki bayonotni tekshirishning boshlang‘ich nuqtasidir; yakuniy izohning asosi baribir uning manba kontentidir. Ma’lumot ajratish va indekslashdagi yaxshilanishlarni ayni moliyaviy vazifalarda baholash uchun kutilgan parchalari ma’lum haqiqiy savollar to‘plamini 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 · Embeddinglar</b> <code>POST /v1/embeddings</code></summary><dl class=\"method-capabilities\"><div><dt>Kirish</dt><dd><code>text</code></dd></div><div><dt>Chiqish</dt><dd><code>embedding</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>voyage-finance-2</div><div>Shartlar: Ailoot ning aniq model tanlagichidan foydalaning.</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</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>string or array&lt;string&gt;</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>Shartlar: Matn yoki matnlar ro‘yxati; qaytarilgan har bir data elementi va uning indeksiga bittadan vektor saqlang.</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr></tbody></table></div><details class=\"note-s\" data-method-contract><summary>Usul parametrlari va hayot sikli</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parametr</th><th>Parametr talablari</th></tr></thead><tbody><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>content_type</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>application/json</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>required</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>model, input</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>optional</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span></td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>material_types</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>text</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>conditions</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>Tanlangan model bilan matn yuboring; qaytarilgan har bir vektor va uning indeksini saqlang.</td></tr></tbody></table></div><p>Hayot sikli: <code>synchronous</code></p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Tariflar</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.</p><dl data-price-conditions><dt>Tezkor rejim</dt><dd>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>Ailoot tariflari</h4><h4>Sozlamalar bo‘yicha narxlar</h4><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Sozlama</th><th>Tariflar jadvali</th><th>To‘lov</th></tr></thead><tbody><tr><th data-cell-label=\"Sozlama\" scope=\"row\"><span class=\"card-cell-label\">Sozlama</span>Tokenlar uchun bazaviy tariflar</th><td data-cell-label=\"Tariflar jadvali\"><span class=\"card-cell-label\">Tariflar jadvali</span>Asosiy tarif</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Kirish · Kirish tokenlari</span> <b>$0.0004</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Chiqish · Chiqish tokenlari</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshdan o‘qish</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish, 1 soat</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. <a href=\"/docs/uz/billing/reserve/\">Summani band qilish va to‘lovni hisoblash tartibi →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">So‘rov namunalari</h3><h4>Ailoot Ultra · Embeddinglar</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kod variantlari\"><button class=\"cg-tab\" id=\"model-code-2792-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2792-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · Barcha vektorlar va foydalanish ma’lumotlarini saqlang</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kodni nusxalash\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-2792-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2792-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\ncat &gt; request.json &lt;&lt;&#39;JSON&#39;\n{\n  &quot;model&quot;: &quot;voyage-finance-2&quot;,\n  &quot;input&quot;: &quot;The quick brown fox jumps over the lazy dog&quot;\n}\nJSON\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/embeddings \\\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 embeddings.json\n# Keep every data item and its index, the full usage object and response headers.\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Natijalarni olish va saqlash</h3></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=voyage-finance-2&amp;route=Ultra&amp;caller=voyage-finance-2&amp;fmt=embeddings\"><code>voyage-finance-2</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=voyage-finance-2&amp;route=Ultra&amp;caller=voyage-finance-2&amp;fmt=embeddings\"><code>voyage-finance-2</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "voyage-finance-2",
        "fmt": "embeddings",
        "http": "POST",
        "path": "/v1/embeddings",
        "request_model_id": "voyage-finance-2",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|embeddings|/v1/embeddings|voyage-finance-2",
      "ordinal": 0,
      "rawMethod": {
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Save the complete JSON response, every vector with its index, all usage fields and request headers.",
            "lifecycle": {
              "content": [],
              "create": {
                "http": "POST",
                "path": "/v1/embeddings"
              },
              "mode": "synchronous",
              "status": [],
              "unknown": "Solishtirib tekshirish uchun asl javobni va X-Client-Request-ID qiymatini saqlang. Noaniq javob ayni yaratish so‘rovini qayta yuborishga ruxsat bermaydi.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "To‘liq JSON javobini, har bir vektorni o‘z indeksi bilan, foydalanishga oid barcha maydonlarni va so‘rov sarlavhalarini saqlang.",
              "every_actual_output": true,
              "family": "embedding",
              "fields": [
                {
                  "name": "object",
                  "type": "string"
                },
                {
                  "name": "model",
                  "type": "string"
                },
                {
                  "name": "data[].index",
                  "type": "integer"
                },
                {
                  "name": "data[].embedding",
                  "type": "array<number>"
                },
                {
                  "name": "usage",
                  "type": "object"
                },
                {
                  "name": "usage.prompt_tokens",
                  "type": "integer"
                },
                {
                  "name": "usage.total_tokens",
                  "type": "integer"
                }
              ]
            },
            "parameters": [
              {
                "conditions": "Ailoot ning aniq model tanlagichidan foydalaning.",
                "default_known": false,
                "enum": [
                  "voyage-finance-2"
                ],
                "enum_known": true,
                "maximum_length": null,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "conditions": "Matn yoki matnlar ro‘yxati; qaytarilgan har bir data elementi va uning indeksiga bittadan vektor saqlang.",
                "default_known": false,
                "enum_known": false,
                "maximum_length": null,
                "name": "input",
                "oneOf": [
                  {
                    "minLength": 1,
                    "type": "string"
                  },
                  {
                    "items": {
                      "minLength": 1,
                      "type": "string"
                    },
                    "minItems": 1,
                    "type": "array"
                  }
                ],
                "required": true,
                "type": "string or array<string>"
              }
            ],
            "request_schema": {
              "additionalProperties": true,
              "properties": {
                "input": {
                  "oneOf": [
                    {
                      "minLength": 1,
                      "type": "string"
                    },
                    {
                      "items": {
                        "minLength": 1,
                        "type": "string"
                      },
                      "minItems": 1,
                      "type": "array"
                    }
                  ]
                },
                "model": {
                  "enum": [
                    "voyage-finance-2"
                  ],
                  "type": "string"
                }
              },
              "required": [
                "model",
                "input"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "input": "The quick brown fox jumps over the lazy dog",
                "model": "voyage-finance-2"
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Tanlangan model bilan matn yuboring; qaytarilgan har bir vektor va uning indeksini saqlang."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [],
            "required": [
              "model",
              "input"
            ]
          },
          "lifecycle": {
            "content": [],
            "create": {
              "http": "POST",
              "path": "/v1/embeddings"
            },
            "mode": "synchronous",
            "status": [],
            "unknown": "Keep the original response and X-Client-Request-ID for reconciliation. An ambiguous response is not permission to submit the same creation again.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/embeddings"
          },
          "output": {
            "all_results": "Save the complete JSON response, every vector with its index, all usage fields and request headers.",
            "every_actual_output": true,
            "family": "embedding",
            "fields": [
              {
                "name": "object",
                "type": "string"
              },
              {
                "name": "model",
                "type": "string"
              },
              {
                "name": "data[].index",
                "type": "integer"
              },
              {
                "name": "data[].embedding",
                "type": "array<number>"
              },
              {
                "name": "usage",
                "type": "object"
              },
              {
                "name": "usage.prompt_tokens",
                "type": "integer"
              },
              {
                "name": "usage.total_tokens",
                "type": "integer"
              }
            ]
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Tokenlar uchun bazaviy tariflar",
            "units": [
              {
                "amount": "0.0004000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000004",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncat > request.json <<'JSON'\n{\n  \"model\": \"voyage-finance-2\",\n  \"input\": \"The quick brown fox jumps over the lazy dog\"\n}\nJSON\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/embeddings \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o embeddings.json\n# Keep every data item and its index, the full usage object and response headers.\n",
            "label": "curl · save all vectors and usage",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "embeddings",
        "http": "POST",
        "in": 0.4,
        "input": [
          "text"
        ],
        "label": "Embeddinglar",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "out": 0,
        "output": [
          "embedding"
        ],
        "path": "/v1/embeddings",
        "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": "token",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0.0004000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000004",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "request_model_id": "voyage-finance-2",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "units": [
          {
            "amount": "0.0004000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.0000004",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          }
        ]
      }
    }
  ],
  "model_id": "voyage-finance-2",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "7cb8ccbabf2aabf88e0734aede19bb16d1d63262a14fd6e2ff07c33203c03210",
    "input_html_sha256": "b53d7bd6c0bed5e0ca656823787b3d59d023b5e4aebcd0f44ac9ba4694055441",
    "private_audit_sha256": "0b8fd6b95ec1d52df8ca3ae8916d7d351af8f47ab2c035a2877dcded42f6537d",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/uz/voyage-finance-2/",
    "description": "Voyage Finance 2 hujjat qidiruvi va RAG uchun moliyaviy matndan embeddinglar yaratadi. Uning 32 000 tokenli oynasi va 1 024 o‘lchamli vektorlari natijalarni asl dalillarga bog‘liq saqlagan holda rasmiy taqdim etilgan hujjatlar, moliyaviy hisobotlar va moliya yangiliklari bo‘yicha qidiruvni qo‘llab-quvvatlaydi.",
    "locale": "uz",
    "md_url": "https://ailoot.ai/models/uz/voyage-finance-2/index.md",
    "title": "Voyage AI: Voyage Finance 2 — Ailoot",
    "url": "https://ailoot.ai/models/uz/voyage-finance-2/"
  },
  "rawModel": {
    "about": "Voyage Finance 2 — moliyaviy material bo‘yicha qidiruvga ixtisoslashgan matn embedding modeli. U berilgan parchalar va qidiruv savollarini ilovaga tegishli manba matnini topishga yordam beradigan vektorlarga aylantiradi. Ishlab chiqaruvchining moliyaviy baholash to‘plamiga rasmiy taqdim etilgan, ommaga ochiq hujjatlar, moliyaviy hisobotlar, korporativ yangiliklar va moliyaga oid savol-javob materiallari kiradi; bu nashrning sohaga tegishli dalillarni topishga qaratilganini aks ettiradi.\n\nMa’lumot ajratishda moliyaviy ma’no saqlanadigan qilib korpusni tayyorlang. Raqamni uning yorlig‘i, davri, birligi va atrof izohi bilan saqlang. Kompaniya nomi yoki hisobot davrisiz daromad qiymatini qidiruv natijasida to‘g‘ri talqin qilish qiyin. Matnga aylantirilgan jadvalda satr va ustun sarlavhalarini saqlang hamda qaysi qiymatlar bir-biriga tegishli ekanini ko‘rsating. Tekshirish uchun asl hujjat va sahifa yoki bo‘lim joylashuvini saqlang.\n\nModel 32 000 tokenli kontekst oynasini qo‘llab-quvvatlaydi va 1 024 o‘lchamli embeddinglar qaytaradi. Mavjud kirish joyidan to‘liq, tushunarli parchalar uchun foydalaning, chegaralarni esa mo‘ljallangan natijaga mos tanlang. Bitta keng bo‘lim hisobotni topishga yordam berishi, aniq parcha esa savolga javob beradigan muayyan bayonotni ko‘rsatishi mumkin. Indeks metama’lumotlarida hujjat bilan bog‘lanishni ham, parcha joylashuvini ham saqlang.\n\nQidiruv savollarini vazifaga muhim farqlar bilan yozing. «So‘nggi hisobot choragida operatsion marja o‘zgarishini nima izohlaydi?» savoli faqat marja qiymatini so‘raydigan savoldan boshqa parchani talab qiladi. Ma’lum bo‘lsa, kompaniya, hisobot davri yoki biznes segmentini kiriting. To‘g‘ri dalil qaytarilishini ko‘rish uchun o‘xshash savollarni sanalari yaqin va atamalari o‘xshash hujjatlarda sinang.\n\nKorpus va qidiruv so‘rovlaridan embedding olish uchun ayni modeldan foydalaning. Har bir chiqish vektorining kirish parchasi bilan mosligini saqlang, so‘ng qidiruv natijasi orqali asl matn va manba havolasini ko‘rsating. Moliya yordamchisi aytilgan har qanday miqdor yoki izohni tekshirish uchun kerakli havolalarni saqlab, tanlangan dalillarni javob yaratish bosqichiga uzatishi mumkin.\n\nIlovaga shu farqlar kerak bo‘lsa, hisobotlar, yangiliklar va izohli materialni metama’lumotlar bilan ajrating. E’lon qilingan sana va hisobot davrini alohida saqlang; ular moliyaviy yozuvning turli jihatlarini tavsiflaydi. Hujjat qayta ko‘rilganda, versiyalar bog‘lanishini saqlang va qidiruv natijasi kerakli manbaga olib borishi uchun tegishli parchalarni yangilang.\n\nTizimni javoblari moliyaviy atamalar va hujjat kontekstiga bog‘liq savollar bilan baholang. Foydali holatlarga o‘zgarishni tushuntiradigan parcha, kerakli qiymat bor jadval va ayni ko‘rsatkichni turli davrlar uchun ishlatadigan bir nechta hisobot kiradi. Qaytarilgan matn so‘rovdan taxmin qilmasdan tegishli subyekt va davrni aniqlash uchun yetarli ma’lumot berishini tekshiring.\n\nModel moliyaviy bilim bazasi, tadqiqot arxivi yoki dalil tanlash jarayoni uchun qidiruv vektorlarini beradi. Sonlarni tekshirish va asos bo‘lgan hujjatni o‘qishni ilovaning tekshiruv jarayonida saqlang. Tegishli parcha qiymat, bog‘lanish yoki bayonotni tekshirishning boshlang‘ich nuqtasidir; yakuniy izohning asosi baribir uning manba kontentidir. Ma’lumot ajratish va indekslashdagi yaxshilanishlarni ayni moliyaviy vazifalarda baholash uchun kutilgan parchalari ma’lum haqiqiy savollar to‘plamini saqlang.",
    "about_sha256": "db4a1cc717225917205707160c888d82c14d3b79b36609ce5c035f373f993fbd",
    "alias_of": null,
    "aliases": [],
    "author": "Voyage AI",
    "capabilities": {
      "context_length": 32000,
      "manufacturer_input": [
        "text"
      ],
      "manufacturer_output": [
        "embeddings"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.0004000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.0000004",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          }
        ],
        "summary": "Konfiguratsiya narxlari tafsilotlarda to‘liq ko‘rsatilgan."
      }
    ],
    "ctx": null,
    "display_name": "Voyage AI: Voyage Finance 2",
    "formats": [
      "embeddings"
    ],
    "id": "voyage-finance-2",
    "input": [
      "text"
    ],
    "kind": "embedding",
    "locale": "en",
    "max_out": null,
    "methods": [
      {
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Save the complete JSON response, every vector with its index, all usage fields and request headers.",
            "lifecycle": {
              "content": [],
              "create": {
                "http": "POST",
                "path": "/v1/embeddings"
              },
              "mode": "synchronous",
              "status": [],
              "unknown": "Solishtirib tekshirish uchun asl javobni va X-Client-Request-ID qiymatini saqlang. Noaniq javob ayni yaratish so‘rovini qayta yuborishga ruxsat bermaydi.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "To‘liq JSON javobini, har bir vektorni o‘z indeksi bilan, foydalanishga oid barcha maydonlarni va so‘rov sarlavhalarini saqlang.",
              "every_actual_output": true,
              "family": "embedding",
              "fields": [
                {
                  "name": "object",
                  "type": "string"
                },
                {
                  "name": "model",
                  "type": "string"
                },
                {
                  "name": "data[].index",
                  "type": "integer"
                },
                {
                  "name": "data[].embedding",
                  "type": "array<number>"
                },
                {
                  "name": "usage",
                  "type": "object"
                },
                {
                  "name": "usage.prompt_tokens",
                  "type": "integer"
                },
                {
                  "name": "usage.total_tokens",
                  "type": "integer"
                }
              ]
            },
            "parameters": [
              {
                "conditions": "Ailoot ning aniq model tanlagichidan foydalaning.",
                "default_known": false,
                "enum": [
                  "voyage-finance-2"
                ],
                "enum_known": true,
                "maximum_length": null,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "conditions": "Matn yoki matnlar ro‘yxati; qaytarilgan har bir data elementi va uning indeksiga bittadan vektor saqlang.",
                "default_known": false,
                "enum_known": false,
                "maximum_length": null,
                "name": "input",
                "oneOf": [
                  {
                    "minLength": 1,
                    "type": "string"
                  },
                  {
                    "items": {
                      "minLength": 1,
                      "type": "string"
                    },
                    "minItems": 1,
                    "type": "array"
                  }
                ],
                "required": true,
                "type": "string or array<string>"
              }
            ],
            "request_schema": {
              "additionalProperties": true,
              "properties": {
                "input": {
                  "oneOf": [
                    {
                      "minLength": 1,
                      "type": "string"
                    },
                    {
                      "items": {
                        "minLength": 1,
                        "type": "string"
                      },
                      "minItems": 1,
                      "type": "array"
                    }
                  ]
                },
                "model": {
                  "enum": [
                    "voyage-finance-2"
                  ],
                  "type": "string"
                }
              },
              "required": [
                "model",
                "input"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "input": "The quick brown fox jumps over the lazy dog",
                "model": "voyage-finance-2"
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Tanlangan model bilan matn yuboring; qaytarilgan har bir vektor va uning indeksini saqlang."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [],
            "required": [
              "model",
              "input"
            ]
          },
          "lifecycle": {
            "content": [],
            "create": {
              "http": "POST",
              "path": "/v1/embeddings"
            },
            "mode": "synchronous",
            "status": [],
            "unknown": "Keep the original response and X-Client-Request-ID for reconciliation. An ambiguous response is not permission to submit the same creation again.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/embeddings"
          },
          "output": {
            "all_results": "Save the complete JSON response, every vector with its index, all usage fields and request headers.",
            "every_actual_output": true,
            "family": "embedding",
            "fields": [
              {
                "name": "object",
                "type": "string"
              },
              {
                "name": "model",
                "type": "string"
              },
              {
                "name": "data[].index",
                "type": "integer"
              },
              {
                "name": "data[].embedding",
                "type": "array<number>"
              },
              {
                "name": "usage",
                "type": "object"
              },
              {
                "name": "usage.prompt_tokens",
                "type": "integer"
              },
              {
                "name": "usage.total_tokens",
                "type": "integer"
              }
            ]
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Tokenlar uchun bazaviy tariflar",
            "units": [
              {
                "amount": "0.0004000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000004",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncat > request.json <<'JSON'\n{\n  \"model\": \"voyage-finance-2\",\n  \"input\": \"The quick brown fox jumps over the lazy dog\"\n}\nJSON\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/embeddings \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o embeddings.json\n# Keep every data item and its index, the full usage object and response headers.\n",
            "label": "curl · save all vectors and usage",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "embeddings",
        "http": "POST",
        "in": 0.4,
        "input": [
          "text"
        ],
        "label": "Embeddinglar",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "out": 0,
        "output": [
          "embedding"
        ],
        "path": "/v1/embeddings",
        "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": "token",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0.0004000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000004",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "request_model_id": "voyage-finance-2",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "units": [
          {
            "amount": "0.0004000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.0000004",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          }
        ]
      }
    ],
    "model_aliases": [
      {
        "canonical_model_id": "voyage-finance-2",
        "request_model_id": "voyage-finance-2",
        "route_label": "Ultra"
      }
    ],
    "name": "Voyage AI: Voyage Finance 2",
    "price": {
      "in": 0.4,
      "in_label": null,
      "out": 0,
      "out_label": null,
      "scope_label": "Token rates",
      "sort_in": 0.4,
      "sort_out": 0,
      "varies": false
    },
    "short": "Voyage Finance 2 hujjat qidiruvi va RAG uchun moliyaviy matndan embeddinglar yaratadi. Uning 32 000 tokenli oynasi va 1 024 o‘lchamli vektorlari natijalarni asl dalillarga bog‘liq saqlagan holda rasmiy taqdim etilgan hujjatlar, moliyaviy hisobotlar va moliya yangiliklari bo‘yicha qidiruvni qo‘llab-quvvatlaydi.",
    "short_sha256": "3c81b808a4fda5f645a3be957e4fb11c82e590d12b842053bed5d8051f98ec8a"
  },
  "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": "Voyage Finance 2 hujjat qidiruvi va RAG uchun moliyaviy matndan embeddinglar yaratadi. Uning 32 000 tokenli oynasi va 1 024 o‘lchamli vektorlari natijalarni asl dalillarga bog‘liq saqlagan holda rasmiy taqdim etilgan hujjatlar, moliyaviy hisobotlar va moliya yangiliklari bo‘yicha qidiruvni qo‘llab-quvvatlaydi.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "df0bb96f6b8db076a9e672cbe458f4b80b084c0b9a4421ecfd9df9bf83fc7e9b",
    "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6"
  },
  "sourceRevision": "be51771910958039e9671bd4361fef4a7c91cc223676f52938e21847dbee5877"
}