{
  "aboutHtml": "<p>Poolside Laguna S 2.1 — agent asosida kod yozish va uzoq davom etadigan ishlar uchun yaratilgan mixture-of-experts til modeli. Unda jami 118B parametr va har bir token uchun taxminan 8B faol parametr bor; shu jihatdan u ishlab chiqaruvchi seriyasidagi kichikroq Laguna XS 2.1 va kattaroq Laguna M.1 orasida turadi. Model vositalarga ulangan ilovada matnni qayta ishlaydi va matn, kod, mulohaza hamda vosita chaqiruvi so‘rovlarini yaratadi.</p><p>Uning arxitekturasi 48 qatlamda global va sirpanuvchi oyna diqqatini birlashtiradi: 12 ta global qatlam va 36 ta sirpanuvchi oyna qatlami. 512 tokenli sirpanuvchi oyna shu qatlamlardagi mahalliy diqqatni ifodalaydi, hujjatlashtirilgan model konteksti esa 1,048,576 token. Bular turli o‘lchovlardir. Kattaroq kontekst ko‘p qadam davomida manba fayllari, kuzatuvlar va qarorlar to‘planadigan topshiriqlarni qo‘llab-quvvatlaydi. Ishchi maqsad va mazmunli dalillarni birga saqlang, amaldagi konfiguratsiya ichida keyingi mulohaza va yakuniy javob uchun joy ajrating.</p><p>Modelning asosiy maqsadi — qat’iyat, tekshirish va qayta ko‘rib chiqishni talab qiladigan dasturiy ishlar. Repozitoriy topshirig‘i uchun kutilgan xatti-harakatni, tegishli fayllarni matn sifatida, bog‘liqliklar haqidagi ma’lumotni va haqiqiy muvaffaqiyatsiz natijani bering. Aniq yo‘naltirilgan natijani so‘rang: “Ushbu regressiyaning sababini kuzatib toping, hujjatlashtirilgan interfeysni saqlaydigan o‘zgarish taklif qiling va tuzatishni aloqasiz o‘zgarishdan ajratadigan tekshiruvlarni ko‘rsating.” Vositalarga ulangan jarayonda model keyingi qadamni tanlashidan oldin unga bajarilgan har bir tekshiruv natijasini bering.</p><p>Optimallashtirish ishlari uchun o‘lchovlar va aniq maqsadni taqdim eting. Misol: “Tor joyni aniqlash uchun ushbu profil va xotira ajratish hisobotidan foydalaning. Bitta o‘zgarish taklif qiling, kutilgan ta’sirni tushuntiring va ayni o‘lchov takrorlangach, uni boshlang‘ich natija bilan taqqoslang.” Bu unumdorlik haqidagi da’voni tekshirish mumkin qiladi. Poolside nashrida tekshirish va uzluksiz siljish muhim xatti-harakatlar sifatida muhokama qilinadi, ammo ishonarli izohning o‘zi tahrir tezroq, to‘g‘ri yoki tugallangan ekanini tasdiqlamaydi. O‘zgarishni saqlash yoki rad etishga asos bo‘ladigan kuzatuvlarni saqlang.</p><p>Laguna S 2.1 vosita chaqiruvlaridan oldin va ularning orasida navbatlashib fikrlashni qo‘llab-quvvatlaydi. Ishlab chiqaruvchi avvalgi yordamchi xabarlaridagi mulohaza mazmunini keyingi tarixda saqlashni tavsiya qiladi; bu bloklarni tushirib qoldirish keyingi qadamlarda mulohaza to‘xtashiga sabab bo‘lishi mumkin. Yordamchi javobi, vosita chaqiruvi ma’lumoti va unga mos vosita natijasini birga saqlang. Bu uzoqroq topshiriq allaqachon nima sinab ko‘rilganini qayta-qayta tiklash o‘rniga o‘zining haqiqiy holatidan davom etishiga yordam beradi.</p><p>Hujjatlashtirilgan fikrlash tanlovlari off va max bo‘lib, ishlab chiqaruvchi tasvirlagan sozlamada max standart tarzda yoqilgan. Bu rejimda model fikrlash byudjetini o‘zi belgilaydi; nashrda alohida low, medium va high daraja boshqaruvlari berilmagan. Agent asosida kod yozish uchun Poolside fikrlashni yoqish va qadamlar orasida saqlashni tavsiya qiladi. Yakuniy material va tugallanish mezonlarini aniq ko‘rsating, uzun mulohaza ketma-ketligini esa tugallangan natijadan ajrating. Ishlab chiqaruvchi ortiqcha fikrlashni, ayniqsa musobaqa matematikasida, muhim cheklov sifatida ko‘rsatadi.</p><p>Vosita ta’riflariga alohida e’tibor kerak. Poolside ma’lumotiga ko‘ra, S 2.1 dastlab o‘xshash, ammo boshqacha sxemaga diqqat bilan amal qilish o‘rniga tanish vosita interfeysiga tayanishi mumkin. Vosita argumentida ichma-ich massiv bo‘lsa, noto‘g‘ri shakllangan yoki noto‘g‘ri ekranlangan JSON ham yaratishi mumkin. Haqiqiy argument ta’riflarini bering, taklif etilgan chaqiruvlarni tekshiring va chaqiruv mos kelmasa, aniq xatoni qaytaring. Ishlab chiqaruvchi kontekst ichidagi qayta aloqa orqali tuzatishni bu nomuvofiqliklarning ayrimlarini bartaraf etish usuli sifatida tavsiflaydi. Keyingi qaror uchun natijadagi vosita kuzatuvini mavjud holda saqlang.</p><p>Ishlab chiqaruvchi alohida BF16 va kvantlangan variantlarni hamda ixtiyoriy DFlash yordamchi bashorat modelini e’lon qiladi. Bular alohida materiallar va xizmat ko‘rsatish retseptlari bo‘lgani uchun kvantlangan nazorat nuqtasining xotira sarfi yoki spekulyativ dekodlash unumdorligini umumiy model nomidan kelib chiqib taxmin qilish kerak emas. Oddiy matnli ishlar uchun manba kodi, buyruq natijalari va hujjat parchalarini o‘qiladigan matn sifatida tayyorlang. Nashr modelning tasvirni tushunish imkoniyati yo‘qligini qayd etadi; skrinshot tahlilga asos bo‘lishidan oldin matnli kuzatuv yoki mos tashqi tekshirish bosqichi kerak.</p><p>O‘zgargan material, muhim qarorlar, kuzatilgan tekshiruvlar va har qanday hal qilinmagan shartni ko‘rsatadigan yakuniy natijani so‘rang. Kodni ko‘rib chiqishda topilmalarni tegishli manbaga bog‘lang va har bir muammo xatti-harakatga nega ta’sir qilishini ko‘rsating. Tuzatishda taklif etilgan patchni xatti-harakati amalda tekshirilgan patchdan ajrating. Mulohaza va vosita tarixini saqlash modelga topshiriq ustida ishlashga yordam beradi, yakuniy material va qayd etilgan natijalar esa nima bajarilganini tasdiqlaydi.</p>",
  "aboutText": "Poolside Laguna S 2.1 — agent asosida kod yozish va uzoq davom etadigan ishlar uchun yaratilgan mixture-of-experts til modeli. Unda jami 118B parametr va har bir token uchun taxminan 8B faol parametr bor; shu jihatdan u ishlab chiqaruvchi seriyasidagi kichikroq Laguna XS 2.1 va kattaroq Laguna M.1 orasida turadi. Model vositalarga ulangan ilovada matnni qayta ishlaydi va matn, kod, mulohaza hamda vosita chaqiruvi so‘rovlarini yaratadi.\n\nUning arxitekturasi 48 qatlamda global va sirpanuvchi oyna diqqatini birlashtiradi: 12 ta global qatlam va 36 ta sirpanuvchi oyna qatlami. 512 tokenli sirpanuvchi oyna shu qatlamlardagi mahalliy diqqatni ifodalaydi, hujjatlashtirilgan model konteksti esa 1,048,576 token. Bular turli o‘lchovlardir. Kattaroq kontekst ko‘p qadam davomida manba fayllari, kuzatuvlar va qarorlar to‘planadigan topshiriqlarni qo‘llab-quvvatlaydi. Ishchi maqsad va mazmunli dalillarni birga saqlang, amaldagi konfiguratsiya ichida keyingi mulohaza va yakuniy javob uchun joy ajrating.\n\nModelning asosiy maqsadi — qat’iyat, tekshirish va qayta ko‘rib chiqishni talab qiladigan dasturiy ishlar. Repozitoriy topshirig‘i uchun kutilgan xatti-harakatni, tegishli fayllarni matn sifatida, bog‘liqliklar haqidagi ma’lumotni va haqiqiy muvaffaqiyatsiz natijani bering. Aniq yo‘naltirilgan natijani so‘rang: “Ushbu regressiyaning sababini kuzatib toping, hujjatlashtirilgan interfeysni saqlaydigan o‘zgarish taklif qiling va tuzatishni aloqasiz o‘zgarishdan ajratadigan tekshiruvlarni ko‘rsating.” Vositalarga ulangan jarayonda model keyingi qadamni tanlashidan oldin unga bajarilgan har bir tekshiruv natijasini bering.\n\nOptimallashtirish ishlari uchun o‘lchovlar va aniq maqsadni taqdim eting. Misol: “Tor joyni aniqlash uchun ushbu profil va xotira ajratish hisobotidan foydalaning. Bitta o‘zgarish taklif qiling, kutilgan ta’sirni tushuntiring va ayni o‘lchov takrorlangach, uni boshlang‘ich natija bilan taqqoslang.” Bu unumdorlik haqidagi da’voni tekshirish mumkin qiladi. Poolside nashrida tekshirish va uzluksiz siljish muhim xatti-harakatlar sifatida muhokama qilinadi, ammo ishonarli izohning o‘zi tahrir tezroq, to‘g‘ri yoki tugallangan ekanini tasdiqlamaydi. O‘zgarishni saqlash yoki rad etishga asos bo‘ladigan kuzatuvlarni saqlang.\n\nLaguna S 2.1 vosita chaqiruvlaridan oldin va ularning orasida navbatlashib fikrlashni qo‘llab-quvvatlaydi. Ishlab chiqaruvchi avvalgi yordamchi xabarlaridagi mulohaza mazmunini keyingi tarixda saqlashni tavsiya qiladi; bu bloklarni tushirib qoldirish keyingi qadamlarda mulohaza to‘xtashiga sabab bo‘lishi mumkin. Yordamchi javobi, vosita chaqiruvi ma’lumoti va unga mos vosita natijasini birga saqlang. Bu uzoqroq topshiriq allaqachon nima sinab ko‘rilganini qayta-qayta tiklash o‘rniga o‘zining haqiqiy holatidan davom etishiga yordam beradi.\n\nHujjatlashtirilgan fikrlash tanlovlari off va max bo‘lib, ishlab chiqaruvchi tasvirlagan sozlamada max standart tarzda yoqilgan. Bu rejimda model fikrlash byudjetini o‘zi belgilaydi; nashrda alohida low, medium va high daraja boshqaruvlari berilmagan. Agent asosida kod yozish uchun Poolside fikrlashni yoqish va qadamlar orasida saqlashni tavsiya qiladi. Yakuniy material va tugallanish mezonlarini aniq ko‘rsating, uzun mulohaza ketma-ketligini esa tugallangan natijadan ajrating. Ishlab chiqaruvchi ortiqcha fikrlashni, ayniqsa musobaqa matematikasida, muhim cheklov sifatida ko‘rsatadi.\n\nVosita ta’riflariga alohida e’tibor kerak. Poolside ma’lumotiga ko‘ra, S 2.1 dastlab o‘xshash, ammo boshqacha sxemaga diqqat bilan amal qilish o‘rniga tanish vosita interfeysiga tayanishi mumkin. Vosita argumentida ichma-ich massiv bo‘lsa, noto‘g‘ri shakllangan yoki noto‘g‘ri ekranlangan JSON ham yaratishi mumkin. Haqiqiy argument ta’riflarini bering, taklif etilgan chaqiruvlarni tekshiring va chaqiruv mos kelmasa, aniq xatoni qaytaring. Ishlab chiqaruvchi kontekst ichidagi qayta aloqa orqali tuzatishni bu nomuvofiqliklarning ayrimlarini bartaraf etish usuli sifatida tavsiflaydi. Keyingi qaror uchun natijadagi vosita kuzatuvini mavjud holda saqlang.\n\nIshlab chiqaruvchi alohida BF16 va kvantlangan variantlarni hamda ixtiyoriy DFlash yordamchi bashorat modelini e’lon qiladi. Bular alohida materiallar va xizmat ko‘rsatish retseptlari bo‘lgani uchun kvantlangan nazorat nuqtasining xotira sarfi yoki spekulyativ dekodlash unumdorligini umumiy model nomidan kelib chiqib taxmin qilish kerak emas. Oddiy matnli ishlar uchun manba kodi, buyruq natijalari va hujjat parchalarini o‘qiladigan matn sifatida tayyorlang. Nashr modelning tasvirni tushunish imkoniyati yo‘qligini qayd etadi; skrinshot tahlilga asos bo‘lishidan oldin matnli kuzatuv yoki mos tashqi tekshirish bosqichi kerak.\n\nO‘zgargan material, muhim qarorlar, kuzatilgan tekshiruvlar va har qanday hal qilinmagan shartni ko‘rsatadigan yakuniy natijani so‘rang. Kodni ko‘rib chiqishda topilmalarni tegishli manbaga bog‘lang va har bir muammo xatti-harakatga nega ta’sir qilishini ko‘rsating. Tuzatishda taklif etilgan patchni xatti-harakati amalda tekshirilgan patchdan ajrating. Mulohaza va vosita tarixini saqlash modelga topshiriq ustida ishlashga yordam beradi, yakuniy material va qayd etilgan natijalar esa nima bajarilganini tasdiqlaydi.",
  "editorialOverlay": {
    "copy_fields": null,
    "copy_sha256": null,
    "copy_source": null,
    "html_sha256": "258ed3227b9121307421cd469ddebaa92810366102843ec94afd482c3da8240f",
    "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06",
    "raw_model_unchanged": true,
    "schema": "ailoot-native-model-editorial-v1"
  },
  "locale": "uz",
  "methods": [
    {
      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">P</span><h2 id=\"sheet-title\">Poolside: Laguna S 2.1 (free)</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Yopish\">×</button></div><div class=\"idline\"><span>Poolside /</span><code>poolside/laguna-s-2.1:free</code><button type=\"button\" id=\"copy-id\">ID ni nusxalash</button></div><nav class=\"card-jump-nav\" aria-label=\"Model kartochkasi bo‘limlari\"><button type=\"button\" data-card-jump=\"overview\">Boshlash</button><button type=\"button\" data-card-jump=\"methods\">Kirish ma’lumotlari va usullar</button><button type=\"button\" data-card-jump=\"pricing\">Tariflar</button><button type=\"button\" data-card-jump=\"examples\">Namunalar</button><button type=\"button\" data-card-jump=\"results\">Natijalar</button><button type=\"button\" data-card-jump=\"aliases\">Taxalluslar</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"API usullari\"><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-0\" data-card-method=\"Ultra|chat|/v1/chat/completions|poolside%2Flaguna-s-2.1%3Afree\">Chat</button><button type=\"button\" role=\"tab\" tabindex=\"-1\" aria-controls=\"card-method-content\" aria-selected=\"false\" id=\"card-method-tab-1\" data-card-method=\"Ultra|messages|/v1/messages|poolside%2Flaguna-s-2.1%3Afree\">Messages</button></div><div id=\"card-method-content\" role=\"tabpanel\" aria-labelledby=\"card-method-tab-0\"><section class=\"card-section\" data-card-section=\"overview\"><h3 tabindex=\"-1\">Boshlash</h3><p class=\"mdesc-full\">Poolside Laguna S 2.1 — agent asosida kod yozish va uzoq davom etadigan ishlar uchun matn modeli; unda jami 118B va taxminan 8B faol parametr bor. U 1,048,576 tokenli model kontekstini modelning o‘zida qo‘llab-quvvatlanadigan vositalardan foydalanish va vosita chaqiruvlari bilan navbatlashadigan mulohaza yuritish bilan birlashtiradi; avvalgi fikrlash mazmunini saqlash vosita chaqiruvlari davomida ishni samarali davom ettirishga yordam beradi.</p><dl class=\"card-io\" data-card-io><div><dt>Qabul qilinadigan kirish ma’lumotlari</dt><dd>Matn</dd></div><div><dt>Natijalar</dt><dd>Matn</dd></div></dl><details class=\"card-about\"><summary>Model haqida</summary><p class=\"note-s\" data-model-method-boundary>Bu tavsif model imkoniyatlarini yoritadi. Ailoot da tanlangan usul uchun mavjud kirish, chiqish va parametrlar quyida keltirilgan.</p><div class=\"mabout\" id=\"m-about\"><p>Poolside Laguna S 2.1 — agent asosida kod yozish va uzoq davom etadigan ishlar uchun yaratilgan mixture-of-experts til modeli. Unda jami 118B parametr va har bir token uchun taxminan 8B faol parametr bor; shu jihatdan u ishlab chiqaruvchi seriyasidagi kichikroq Laguna XS 2.1 va kattaroq Laguna M.1 orasida turadi. Model vositalarga ulangan ilovada matnni qayta ishlaydi va matn, kod, mulohaza hamda vosita chaqiruvi so‘rovlarini yaratadi.</p><p>Uning arxitekturasi 48 qatlamda global va sirpanuvchi oyna diqqatini birlashtiradi: 12 ta global qatlam va 36 ta sirpanuvchi oyna qatlami. 512 tokenli sirpanuvchi oyna shu qatlamlardagi mahalliy diqqatni ifodalaydi, hujjatlashtirilgan model konteksti esa 1,048,576 token. Bular turli o‘lchovlardir. Kattaroq kontekst ko‘p qadam davomida manba fayllari, kuzatuvlar va qarorlar to‘planadigan topshiriqlarni qo‘llab-quvvatlaydi. Ishchi maqsad va mazmunli dalillarni birga saqlang, amaldagi konfiguratsiya ichida keyingi mulohaza va yakuniy javob uchun joy ajrating.</p><p>Modelning asosiy maqsadi — qat’iyat, tekshirish va qayta ko‘rib chiqishni talab qiladigan dasturiy ishlar. Repozitoriy topshirig‘i uchun kutilgan xatti-harakatni, tegishli fayllarni matn sifatida, bog‘liqliklar haqidagi ma’lumotni va haqiqiy muvaffaqiyatsiz natijani bering. Aniq yo‘naltirilgan natijani so‘rang: “Ushbu regressiyaning sababini kuzatib toping, hujjatlashtirilgan interfeysni saqlaydigan o‘zgarish taklif qiling va tuzatishni aloqasiz o‘zgarishdan ajratadigan tekshiruvlarni ko‘rsating.” Vositalarga ulangan jarayonda model keyingi qadamni tanlashidan oldin unga bajarilgan har bir tekshiruv natijasini bering.</p><p>Optimallashtirish ishlari uchun o‘lchovlar va aniq maqsadni taqdim eting. Misol: “Tor joyni aniqlash uchun ushbu profil va xotira ajratish hisobotidan foydalaning. Bitta o‘zgarish taklif qiling, kutilgan ta’sirni tushuntiring va ayni o‘lchov takrorlangach, uni boshlang‘ich natija bilan taqqoslang.” Bu unumdorlik haqidagi da’voni tekshirish mumkin qiladi. Poolside nashrida tekshirish va uzluksiz siljish muhim xatti-harakatlar sifatida muhokama qilinadi, ammo ishonarli izohning o‘zi tahrir tezroq, to‘g‘ri yoki tugallangan ekanini tasdiqlamaydi. O‘zgarishni saqlash yoki rad etishga asos bo‘ladigan kuzatuvlarni saqlang.</p><p>Laguna S 2.1 vosita chaqiruvlaridan oldin va ularning orasida navbatlashib fikrlashni qo‘llab-quvvatlaydi. Ishlab chiqaruvchi avvalgi yordamchi xabarlaridagi mulohaza mazmunini keyingi tarixda saqlashni tavsiya qiladi; bu bloklarni tushirib qoldirish keyingi qadamlarda mulohaza to‘xtashiga sabab bo‘lishi mumkin. Yordamchi javobi, vosita chaqiruvi ma’lumoti va unga mos vosita natijasini birga saqlang. Bu uzoqroq topshiriq allaqachon nima sinab ko‘rilganini qayta-qayta tiklash o‘rniga o‘zining haqiqiy holatidan davom etishiga yordam beradi.</p><p>Hujjatlashtirilgan fikrlash tanlovlari off va max bo‘lib, ishlab chiqaruvchi tasvirlagan sozlamada max standart tarzda yoqilgan. Bu rejimda model fikrlash byudjetini o‘zi belgilaydi; nashrda alohida low, medium va high daraja boshqaruvlari berilmagan. Agent asosida kod yozish uchun Poolside fikrlashni yoqish va qadamlar orasida saqlashni tavsiya qiladi. Yakuniy material va tugallanish mezonlarini aniq ko‘rsating, uzun mulohaza ketma-ketligini esa tugallangan natijadan ajrating. Ishlab chiqaruvchi ortiqcha fikrlashni, ayniqsa musobaqa matematikasida, muhim cheklov sifatida ko‘rsatadi.</p><p>Vosita ta’riflariga alohida e’tibor kerak. Poolside ma’lumotiga ko‘ra, S 2.1 dastlab o‘xshash, ammo boshqacha sxemaga diqqat bilan amal qilish o‘rniga tanish vosita interfeysiga tayanishi mumkin. Vosita argumentida ichma-ich massiv bo‘lsa, noto‘g‘ri shakllangan yoki noto‘g‘ri ekranlangan JSON ham yaratishi mumkin. Haqiqiy argument ta’riflarini bering, taklif etilgan chaqiruvlarni tekshiring va chaqiruv mos kelmasa, aniq xatoni qaytaring. Ishlab chiqaruvchi kontekst ichidagi qayta aloqa orqali tuzatishni bu nomuvofiqliklarning ayrimlarini bartaraf etish usuli sifatida tavsiflaydi. Keyingi qaror uchun natijadagi vosita kuzatuvini mavjud holda saqlang.</p><p>Ishlab chiqaruvchi alohida BF16 va kvantlangan variantlarni hamda ixtiyoriy DFlash yordamchi bashorat modelini e’lon qiladi. Bular alohida materiallar va xizmat ko‘rsatish retseptlari bo‘lgani uchun kvantlangan nazorat nuqtasining xotira sarfi yoki spekulyativ dekodlash unumdorligini umumiy model nomidan kelib chiqib taxmin qilish kerak emas. Oddiy matnli ishlar uchun manba kodi, buyruq natijalari va hujjat parchalarini o‘qiladigan matn sifatida tayyorlang. Nashr modelning tasvirni tushunish imkoniyati yo‘qligini qayd etadi; skrinshot tahlilga asos bo‘lishidan oldin matnli kuzatuv yoki mos tashqi tekshirish bosqichi kerak.</p><p>O‘zgargan material, muhim qarorlar, kuzatilgan tekshiruvlar va har qanday hal qilinmagan shartni ko‘rsatadigan yakuniy natijani so‘rang. Kodni ko‘rib chiqishda topilmalarni tegishli manbaga bog‘lang va har bir muammo xatti-harakatga nega ta’sir qilishini ko‘rsating. Tuzatishda taklif etilgan patchni xatti-harakati amalda tekshirilgan patchdan ajrating. Mulohaza va vosita tarixini saqlash modelga topshiriq ustida ishlashga yordam beradi, yakuniy material va qayd etilgan natijalar esa nima bajarilganini tasdiqlaydi.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Ailoot da mavjud · kirish ma’lumotlari va usullar</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · OpenAI Chat</b> <code>POST /v1/chat/completions</code></summary><dl class=\"method-capabilities\"><div><dt>Kirish</dt><dd><code>text</code></dd></div><div><dt>Chiqish</dt><dd><code>text</code></dd></div><div><dt>Kontekst</dt><dd>262 144 tokens</dd></div><div><dt>Eng katta chiqish</dt><dd>32 768 tokens</dd></div><div><dt>Chiqish formati</dt><dd>JSON</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Maydon</th><th>Tur</th><th>Talab</th><th>Qiymatlar va cheklovlar</th><th>Standart</th></tr></thead><tbody><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>string</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>poolside/laguna-s-2.1:free</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">messages</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>array</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">stream</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>boolean</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>false</div></td><td data-cell-label=\"Standart\" data-default=\"known\"><span class=\"card-cell-label\">Standart</span>false</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">max_tokens</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>integer</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>Eng kam: 1</div><div>Eng ko‘p: 32 768</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">max_completion_tokens</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>integer</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>Eng kam: 1</div><div>Eng ko‘p: 32 768</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">n</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>integer</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>Eng kam: 1</div><div>Eng ko‘p: 128</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">temperature</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>number</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">top_p</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>number</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">seed</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>integer</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">stop</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code></code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">frequency_penalty</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>number</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">presence_penalty</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>number</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">user</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>string</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr></tbody></table></div><details class=\"note-s\" data-method-contract><summary>Usul parametrlari va hayot sikli</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parametr</th><th>Parametr talablari</th></tr></thead><tbody><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>content_type</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>application/json</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>required</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>model, messages</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>optional</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>stream, max_tokens, max_completion_tokens, n, temperature, top_p, seed, stop, frequency_penalty, presence_penalty, user</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>material_types</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>text</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>conditions</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>Use literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method., The complete encoded JSON request must not exceed 262144 bytes.</td></tr></tbody></table></div><p>Hayot sikli: <code>synchronous_json</code></p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Tariflar</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.</p><dl data-price-conditions><dt>Tezkor rejim</dt><dd>Standart tarif <span class=\"note-s\">Tezkor rejim tanlanganda</span></dd><dt>Flex rejimi</dt><dd>Standart tarif <span class=\"note-s\">flex rejimi tanlanganda</span></dd><dt>Maksimal fikrlash darajasi</dt><dd>Standart tarif <span class=\"note-s\">Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda</span></dd><dt>Ochiq ko‘rsatilgan keshlash narxlari</dt><dd>Yoqilmagan <span class=\"note-s\">Ochiq ko‘rsatilgan keshlash so‘ralganda</span></dd><dt>Faqat matn uchun nol tariflar</dt><dd>Text input and output only. Cache, tools, media and streaming are unavailable. <span class=\"note-s\">Faqat matnli kirish va chiqish uchun</span></dd></dl></div><div data-declared-tariff-pricing><h4>Ailoot tariflari</h4><h4>Sozlamalar bo‘yicha narxlar</h4><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Sozlama</th><th>Tariflar jadvali</th><th>To‘lov</th></tr></thead><tbody><tr><th data-cell-label=\"Sozlama\" scope=\"row\"><span class=\"card-cell-label\">Sozlama</span>Tokenlar uchun bazaviy tariflar</th><td data-cell-label=\"Tariflar jadvali\"><span class=\"card-cell-label\">Tariflar jadvali</span>Asosiy tarif</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Kirish · Kirish tokenlari</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Chiqish · Chiqish tokenlari</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshdan o‘qish</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish, 1 soat</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. <a href=\"/docs/uz/billing/reserve/\">Summani band qilish va to‘lovni hisoblash tartibi →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">So‘rov namunalari</h3><h4>Ailoot Ultra · OpenAI Chat</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kod variantlari\"><button class=\"cg-tab\" id=\"model-code-56-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-56-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · Bir marta yarating va natijani to‘liq saqlang</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kodni nusxalash\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-56-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-56-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nexport AILOOT_API_KEY\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np=json.loads(&#39;{&quot;model&quot;: &quot;poolside/laguna-s-2.1:free&quot;, &quot;messages&quot;: [{&quot;role&quot;: &quot;user&quot;, &quot;content&quot;: &quot;Summarize the supplied text in three concise points.&quot;}], &quot;stream&quot;: false}&#39;)\n\nPath(&quot;request.json&quot;).write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Natijalarni olish va saqlash</h3><h4>Ailoot Ultra · OpenAI Chat</h4><p class=\"note-s\">JSON</p><div class=\"card-result-process\" data-all-results><h5>Barcha tayyor natijalarni saqlash</h5><p class=\"note-s\">Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.</p><p class=\"note-s\">Retain the complete response, all actual results, original identifiers, usage and response headers.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Asl javobni tekshirish kerak bo‘lsa</h5><p class=\"note-s\">Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.</p></div></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Taxalluslar</h3><h4>Model taxalluslari</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=poolside%2Flaguna-s-2.1%3Afree&amp;route=Ultra&amp;caller=poolside%2Flaguna-s-2.1%3Afree&amp;fmt=chat\"><code>poolside/laguna-s-2.1:free</code></a></span></p><h4>Usul yo‘llari taxalluslari</h4><p class=\"note-s\">Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.</p><h4>Chaqirish uchun tegishli ID lar</h4><p class=\"note-s\"><a href=\"#m=poolside%2Flaguna-s-2.1%3Afree&amp;route=Ultra&amp;caller=poolside%2Flaguna-s-2.1%3Afree&amp;fmt=chat\"><code>poolside/laguna-s-2.1:free</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "poolside/laguna-s-2.1:free",
        "fmt": "chat",
        "http": "POST",
        "path": "/v1/chat/completions",
        "request_model_id": "poolside/laguna-s-2.1:free",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|chat|/v1/chat/completions|poolside%2Flaguna-s-2.1%3Afree",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "example_body": {
              "messages": [
                {
                  "content": "Summarize the supplied text in three concise points.",
                  "role": "user"
                }
              ],
              "model": "poolside/laguna-s-2.1:free",
              "stream": false
            },
            "lifecycle": {
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/chat/completions"
              },
              "mode": "synchronous_json",
              "status": [],
              "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
              "family": "text",
              "format": "JSON"
            },
            "parameters": [
              {
                "default_known": false,
                "enum": [
                  "poolside/laguna-s-2.1:free"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "items": {
                  "additionalProperties": false,
                  "properties": {
                    "content": {
                      "type": "string"
                    },
                    "role": {
                      "enum": [
                        "user",
                        "assistant",
                        "system",
                        "developer"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "role",
                    "content"
                  ],
                  "type": "object"
                },
                "minItems": 1,
                "name": "messages",
                "required": true,
                "type": "array"
              },
              {
                "default": false,
                "default_known": true,
                "enum": [
                  false
                ],
                "enum_known": true,
                "name": "stream",
                "required": false,
                "type": "boolean"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maximum": 32768,
                "minimum": 1,
                "name": "max_tokens",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maximum": 32768,
                "minimum": 1,
                "name": "max_completion_tokens",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maximum": 128,
                "minimum": 1,
                "name": "n",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "temperature",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "top_p",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "seed",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "stop",
                "oneOf": [
                  {
                    "type": "string"
                  },
                  {
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  }
                ],
                "required": false
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "frequency_penalty",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "presence_penalty",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "user",
                "required": false,
                "type": "string"
              }
            ],
            "request_schema": {
              "additionalProperties": false,
              "properties": {
                "frequency_penalty": {
                  "type": "number"
                },
                "max_completion_tokens": {
                  "maximum": 32768,
                  "minimum": 1,
                  "type": "integer"
                },
                "max_tokens": {
                  "maximum": 32768,
                  "minimum": 1,
                  "type": "integer"
                },
                "messages": {
                  "items": {
                    "additionalProperties": false,
                    "properties": {
                      "content": {
                        "type": "string"
                      },
                      "role": {
                        "enum": [
                          "user",
                          "assistant",
                          "system",
                          "developer"
                        ],
                        "type": "string"
                      }
                    },
                    "required": [
                      "role",
                      "content"
                    ],
                    "type": "object"
                  },
                  "minItems": 1,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "poolside/laguna-s-2.1:free"
                  ],
                  "type": "string"
                },
                "n": {
                  "maximum": 128,
                  "minimum": 1,
                  "type": "integer"
                },
                "presence_penalty": {
                  "type": "number"
                },
                "seed": {
                  "type": "integer"
                },
                "stop": {
                  "oneOf": [
                    {
                      "type": "string"
                    },
                    {
                      "items": {
                        "type": "string"
                      },
                      "type": "array"
                    }
                  ]
                },
                "stream": {
                  "default": false,
                  "enum": [
                    false
                  ],
                  "type": "boolean"
                },
                "temperature": {
                  "type": "number"
                },
                "top_p": {
                  "type": "number"
                },
                "user": {
                  "type": "string"
                }
              },
              "required": [
                "model",
                "messages"
              ],
              "type": "object"
            },
            "schema_template": {
              "body": {
                "messages": [
                  {
                    "content": "Summarize the supplied text in three concise points.",
                    "role": "user"
                  }
                ],
                "model": "poolside/laguna-s-2.1:free",
                "stream": false
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Use literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method.",
              "The complete encoded JSON request must not exceed 262144 bytes."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [
              "stream",
              "max_tokens",
              "max_completion_tokens",
              "n",
              "temperature",
              "top_p",
              "seed",
              "stop",
              "frequency_penalty",
              "presence_penalty",
              "user"
            ],
            "required": [
              "model",
              "messages"
            ]
          },
          "lifecycle": {
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/chat/completions"
            },
            "mode": "synchronous_json",
            "status": [],
            "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/chat/completions"
          },
          "method_aliases": [],
          "output": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "family": "text",
            "format": "JSON"
          }
        },
        "ctx": 262144,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"poolside/laguna-s-2.1:free\", \"messages\": [{\"role\": \"user\", \"content\": \"Summarize the supplied text in three concise points.\"}], \"stream\": false}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": 1,
        "flex_multiplier": 1,
        "fmt": "chat",
        "hints": [
          "Send exact model ID with messages.",
          "Context length is not an output cap.",
          "A text file may supply literal text; image/audio/file-object inputs need exact binding."
        ],
        "http": "POST",
        "img_in": null,
        "img_out": null,
        "in": 0,
        "input": [
          "text"
        ],
        "label": "OpenAI Chat",
        "max_out": 32768,
        "max_reasoning_effort_multiplier": 1,
        "method_aliases": [],
        "out": 0,
        "output": [
          "text"
        ],
        "path": "/v1/chat/completions",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Standard rate",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Standard rate",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Standard rate",
            "when": "When maximum reasoning effort uses the default adjustment"
          },
          {
            "label": "Explicit cache pricing",
            "value": "Not enabled",
            "when": "When explicit cache is requested"
          },
          {
            "label": "Text-only zero rates",
            "value": "Text input and output only. Cache, tools, media and streaming are unavailable.",
            "when": "For text-only input and output"
          }
        ],
        "pricing": {
          "allow_explicit_cache": false,
          "billing_mode": "token",
          "cache_read_price": null,
          "cache_write_1h_price": null,
          "cache_write_price": null,
          "fast_multiplier": 1,
          "flex_multiplier": 1,
          "image_input_price": null,
          "image_output_price": null,
          "input_price": 0,
          "intervals": [],
          "max_reasoning_effort_multiplier": 1,
          "output_price": 0,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "request_model_id": "poolside/laguna-s-2.1:free",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "unit": "token",
        "units": [
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          }
        ]
      }
    },
    {
      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">P</span><h2 id=\"sheet-title\">Poolside: Laguna S 2.1 (free)</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Yopish\">×</button></div><div class=\"idline\"><span>Poolside /</span><code>poolside/laguna-s-2.1:free</code><button type=\"button\" id=\"copy-id\">ID ni nusxalash</button></div><nav class=\"card-jump-nav\" aria-label=\"Model kartochkasi bo‘limlari\"><button type=\"button\" data-card-jump=\"overview\">Boshlash</button><button type=\"button\" data-card-jump=\"methods\">Kirish ma’lumotlari va usullar</button><button type=\"button\" data-card-jump=\"pricing\">Tariflar</button><button type=\"button\" data-card-jump=\"examples\">Namunalar</button><button type=\"button\" data-card-jump=\"results\">Natijalar</button><button type=\"button\" data-card-jump=\"aliases\">Taxalluslar</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"API usullari\"><button type=\"button\" role=\"tab\" tabindex=\"-1\" aria-controls=\"card-method-content\" aria-selected=\"false\" id=\"card-method-tab-0\" data-card-method=\"Ultra|chat|/v1/chat/completions|poolside%2Flaguna-s-2.1%3Afree\">Chat</button><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-1\" data-card-method=\"Ultra|messages|/v1/messages|poolside%2Flaguna-s-2.1%3Afree\">Messages</button></div><div id=\"card-method-content\" role=\"tabpanel\" aria-labelledby=\"card-method-tab-1\"><section class=\"card-section\" data-card-section=\"overview\"><h3 tabindex=\"-1\">Boshlash</h3><p class=\"mdesc-full\">Poolside Laguna S 2.1 — agent asosida kod yozish va uzoq davom etadigan ishlar uchun matn modeli; unda jami 118B va taxminan 8B faol parametr bor. U 1,048,576 tokenli model kontekstini modelning o‘zida qo‘llab-quvvatlanadigan vositalardan foydalanish va vosita chaqiruvlari bilan navbatlashadigan mulohaza yuritish bilan birlashtiradi; avvalgi fikrlash mazmunini saqlash vosita chaqiruvlari davomida ishni samarali davom ettirishga yordam beradi.</p><dl class=\"card-io\" data-card-io><div><dt>Qabul qilinadigan kirish ma’lumotlari</dt><dd>Matn</dd></div><div><dt>Natijalar</dt><dd>Matn</dd></div></dl><details class=\"card-about\"><summary>Model haqida</summary><p class=\"note-s\" data-model-method-boundary>Bu tavsif model imkoniyatlarini yoritadi. Ailoot da tanlangan usul uchun mavjud kirish, chiqish va parametrlar quyida keltirilgan.</p><div class=\"mabout\" id=\"m-about\"><p>Poolside Laguna S 2.1 — agent asosida kod yozish va uzoq davom etadigan ishlar uchun yaratilgan mixture-of-experts til modeli. Unda jami 118B parametr va har bir token uchun taxminan 8B faol parametr bor; shu jihatdan u ishlab chiqaruvchi seriyasidagi kichikroq Laguna XS 2.1 va kattaroq Laguna M.1 orasida turadi. Model vositalarga ulangan ilovada matnni qayta ishlaydi va matn, kod, mulohaza hamda vosita chaqiruvi so‘rovlarini yaratadi.</p><p>Uning arxitekturasi 48 qatlamda global va sirpanuvchi oyna diqqatini birlashtiradi: 12 ta global qatlam va 36 ta sirpanuvchi oyna qatlami. 512 tokenli sirpanuvchi oyna shu qatlamlardagi mahalliy diqqatni ifodalaydi, hujjatlashtirilgan model konteksti esa 1,048,576 token. Bular turli o‘lchovlardir. Kattaroq kontekst ko‘p qadam davomida manba fayllari, kuzatuvlar va qarorlar to‘planadigan topshiriqlarni qo‘llab-quvvatlaydi. Ishchi maqsad va mazmunli dalillarni birga saqlang, amaldagi konfiguratsiya ichida keyingi mulohaza va yakuniy javob uchun joy ajrating.</p><p>Modelning asosiy maqsadi — qat’iyat, tekshirish va qayta ko‘rib chiqishni talab qiladigan dasturiy ishlar. Repozitoriy topshirig‘i uchun kutilgan xatti-harakatni, tegishli fayllarni matn sifatida, bog‘liqliklar haqidagi ma’lumotni va haqiqiy muvaffaqiyatsiz natijani bering. Aniq yo‘naltirilgan natijani so‘rang: “Ushbu regressiyaning sababini kuzatib toping, hujjatlashtirilgan interfeysni saqlaydigan o‘zgarish taklif qiling va tuzatishni aloqasiz o‘zgarishdan ajratadigan tekshiruvlarni ko‘rsating.” Vositalarga ulangan jarayonda model keyingi qadamni tanlashidan oldin unga bajarilgan har bir tekshiruv natijasini bering.</p><p>Optimallashtirish ishlari uchun o‘lchovlar va aniq maqsadni taqdim eting. Misol: “Tor joyni aniqlash uchun ushbu profil va xotira ajratish hisobotidan foydalaning. Bitta o‘zgarish taklif qiling, kutilgan ta’sirni tushuntiring va ayni o‘lchov takrorlangach, uni boshlang‘ich natija bilan taqqoslang.” Bu unumdorlik haqidagi da’voni tekshirish mumkin qiladi. Poolside nashrida tekshirish va uzluksiz siljish muhim xatti-harakatlar sifatida muhokama qilinadi, ammo ishonarli izohning o‘zi tahrir tezroq, to‘g‘ri yoki tugallangan ekanini tasdiqlamaydi. O‘zgarishni saqlash yoki rad etishga asos bo‘ladigan kuzatuvlarni saqlang.</p><p>Laguna S 2.1 vosita chaqiruvlaridan oldin va ularning orasida navbatlashib fikrlashni qo‘llab-quvvatlaydi. Ishlab chiqaruvchi avvalgi yordamchi xabarlaridagi mulohaza mazmunini keyingi tarixda saqlashni tavsiya qiladi; bu bloklarni tushirib qoldirish keyingi qadamlarda mulohaza to‘xtashiga sabab bo‘lishi mumkin. Yordamchi javobi, vosita chaqiruvi ma’lumoti va unga mos vosita natijasini birga saqlang. Bu uzoqroq topshiriq allaqachon nima sinab ko‘rilganini qayta-qayta tiklash o‘rniga o‘zining haqiqiy holatidan davom etishiga yordam beradi.</p><p>Hujjatlashtirilgan fikrlash tanlovlari off va max bo‘lib, ishlab chiqaruvchi tasvirlagan sozlamada max standart tarzda yoqilgan. Bu rejimda model fikrlash byudjetini o‘zi belgilaydi; nashrda alohida low, medium va high daraja boshqaruvlari berilmagan. Agent asosida kod yozish uchun Poolside fikrlashni yoqish va qadamlar orasida saqlashni tavsiya qiladi. Yakuniy material va tugallanish mezonlarini aniq ko‘rsating, uzun mulohaza ketma-ketligini esa tugallangan natijadan ajrating. Ishlab chiqaruvchi ortiqcha fikrlashni, ayniqsa musobaqa matematikasida, muhim cheklov sifatida ko‘rsatadi.</p><p>Vosita ta’riflariga alohida e’tibor kerak. Poolside ma’lumotiga ko‘ra, S 2.1 dastlab o‘xshash, ammo boshqacha sxemaga diqqat bilan amal qilish o‘rniga tanish vosita interfeysiga tayanishi mumkin. Vosita argumentida ichma-ich massiv bo‘lsa, noto‘g‘ri shakllangan yoki noto‘g‘ri ekranlangan JSON ham yaratishi mumkin. Haqiqiy argument ta’riflarini bering, taklif etilgan chaqiruvlarni tekshiring va chaqiruv mos kelmasa, aniq xatoni qaytaring. Ishlab chiqaruvchi kontekst ichidagi qayta aloqa orqali tuzatishni bu nomuvofiqliklarning ayrimlarini bartaraf etish usuli sifatida tavsiflaydi. Keyingi qaror uchun natijadagi vosita kuzatuvini mavjud holda saqlang.</p><p>Ishlab chiqaruvchi alohida BF16 va kvantlangan variantlarni hamda ixtiyoriy DFlash yordamchi bashorat modelini e’lon qiladi. Bular alohida materiallar va xizmat ko‘rsatish retseptlari bo‘lgani uchun kvantlangan nazorat nuqtasining xotira sarfi yoki spekulyativ dekodlash unumdorligini umumiy model nomidan kelib chiqib taxmin qilish kerak emas. Oddiy matnli ishlar uchun manba kodi, buyruq natijalari va hujjat parchalarini o‘qiladigan matn sifatida tayyorlang. Nashr modelning tasvirni tushunish imkoniyati yo‘qligini qayd etadi; skrinshot tahlilga asos bo‘lishidan oldin matnli kuzatuv yoki mos tashqi tekshirish bosqichi kerak.</p><p>O‘zgargan material, muhim qarorlar, kuzatilgan tekshiruvlar va har qanday hal qilinmagan shartni ko‘rsatadigan yakuniy natijani so‘rang. Kodni ko‘rib chiqishda topilmalarni tegishli manbaga bog‘lang va har bir muammo xatti-harakatga nega ta’sir qilishini ko‘rsating. Tuzatishda taklif etilgan patchni xatti-harakati amalda tekshirilgan patchdan ajrating. Mulohaza va vosita tarixini saqlash modelga topshiriq ustida ishlashga yordam beradi, yakuniy material va qayd etilgan natijalar esa nima bajarilganini tasdiqlaydi.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Ailoot da mavjud · kirish ma’lumotlari va usullar</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · Anthropic Messages</b> <code>POST /v1/messages</code></summary><dl class=\"method-capabilities\"><div><dt>Kirish</dt><dd><code>text</code></dd></div><div><dt>Chiqish</dt><dd><code>text</code></dd></div><div><dt>Kontekst</dt><dd>262 144 tokens</dd></div><div><dt>Eng katta chiqish</dt><dd>32 768 tokens</dd></div><div><dt>Chiqish formati</dt><dd>JSON</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Maydon</th><th>Tur</th><th>Talab</th><th>Qiymatlar va cheklovlar</th><th>Standart</th></tr></thead><tbody><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>string</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>poolside/laguna-s-2.1:free</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">messages</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>array</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">stream</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>boolean</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>false</div></td><td data-cell-label=\"Standart\" data-default=\"known\"><span class=\"card-cell-label\">Standart</span>false</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">system</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>string</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">max_tokens</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>integer</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>Eng kam: 1</div><div>Eng ko‘p: 32 768</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">temperature</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>number</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">top_p</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>number</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">top_k</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>integer</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">stop_sequences</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>array</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">metadata</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>object</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Ixtiyoriy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr></tbody></table></div><details class=\"note-s\" data-method-contract><summary>Usul parametrlari va hayot sikli</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parametr</th><th>Parametr talablari</th></tr></thead><tbody><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>content_type</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>application/json</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>required</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>model, messages, max_tokens</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>optional</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>stream, system, temperature, top_p, top_k, stop_sequences, metadata</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>material_types</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>text</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>conditions</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>Use literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method., The complete encoded JSON request must not exceed 262144 bytes.</td></tr></tbody></table></div><p>Hayot sikli: <code>synchronous_json</code></p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Tariflar</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.</p><dl data-price-conditions><dt>Tezkor rejim</dt><dd>Standart tarif <span class=\"note-s\">Tezkor rejim tanlanganda</span></dd><dt>Flex rejimi</dt><dd>Standart tarif <span class=\"note-s\">flex rejimi tanlanganda</span></dd><dt>Maksimal fikrlash darajasi</dt><dd>Standart tarif <span class=\"note-s\">Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda</span></dd><dt>Faqat matn uchun nol tariflar</dt><dd>Text input and output only. Cache, tools, media and streaming are unavailable. <span class=\"note-s\">Faqat matnli kirish va chiqish uchun</span></dd></dl></div><div data-declared-tariff-pricing><h4>Ailoot tariflari</h4><h4>Sozlamalar bo‘yicha narxlar</h4><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Sozlama</th><th>Tariflar jadvali</th><th>To‘lov</th></tr></thead><tbody><tr><th data-cell-label=\"Sozlama\" scope=\"row\"><span class=\"card-cell-label\">Sozlama</span>Tokenlar uchun bazaviy tariflar</th><td data-cell-label=\"Tariflar jadvali\"><span class=\"card-cell-label\">Tariflar jadvali</span>Asosiy tarif</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Kirish · Kirish tokenlari</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Chiqish · Chiqish tokenlari</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshdan o‘qish</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish, 1 soat</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. <a href=\"/docs/uz/billing/reserve/\">Summani band qilish va to‘lovni hisoblash tartibi →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">So‘rov namunalari</h3><h4>Ailoot Ultra · Anthropic Messages</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kod variantlari\"><button class=\"cg-tab\" id=\"model-code-57-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-57-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · Bir marta yarating va natijani to‘liq saqlang</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kodni nusxalash\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-57-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-57-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nexport AILOOT_API_KEY\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np=json.loads(&#39;{&quot;model&quot;: &quot;poolside/laguna-s-2.1:free&quot;, &quot;messages&quot;: [{&quot;role&quot;: &quot;user&quot;, &quot;content&quot;: &quot;Summarize the supplied text in three concise points.&quot;}], &quot;stream&quot;: false, &quot;max_tokens&quot;: 256}&#39;)\n\nPath(&quot;request.json&quot;).write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Natijalarni olish va saqlash</h3><h4>Ailoot Ultra · Anthropic Messages</h4><p class=\"note-s\">JSON</p><div class=\"card-result-process\" data-all-results><h5>Barcha tayyor natijalarni saqlash</h5><p class=\"note-s\">Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.</p><p class=\"note-s\">Retain the complete response, all actual results, original identifiers, usage and response headers.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Asl javobni tekshirish kerak bo‘lsa</h5><p class=\"note-s\">Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.</p></div></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Taxalluslar</h3><h4>Model taxalluslari</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=poolside%2Flaguna-s-2.1%3Afree&amp;route=Ultra&amp;caller=poolside%2Flaguna-s-2.1%3Afree&amp;fmt=messages\"><code>poolside/laguna-s-2.1:free</code></a></span></p><h4>Usul yo‘llari taxalluslari</h4><p class=\"note-s\">Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.</p><h4>Chaqirish uchun tegishli ID lar</h4><p class=\"note-s\"><a href=\"#m=poolside%2Flaguna-s-2.1%3Afree&amp;route=Ultra&amp;caller=poolside%2Flaguna-s-2.1%3Afree&amp;fmt=messages\"><code>poolside/laguna-s-2.1:free</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "poolside/laguna-s-2.1:free",
        "fmt": "messages",
        "http": "POST",
        "path": "/v1/messages",
        "request_model_id": "poolside/laguna-s-2.1:free",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|messages|/v1/messages|poolside%2Flaguna-s-2.1%3Afree",
      "ordinal": 1,
      "rawMethod": {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "example_body": {
              "max_tokens": 256,
              "messages": [
                {
                  "content": "Summarize the supplied text in three concise points.",
                  "role": "user"
                }
              ],
              "model": "poolside/laguna-s-2.1:free",
              "stream": false
            },
            "lifecycle": {
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/messages"
              },
              "mode": "synchronous_json",
              "status": [],
              "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
              "family": "text",
              "format": "JSON"
            },
            "parameters": [
              {
                "default_known": false,
                "enum": [
                  "poolside/laguna-s-2.1:free"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "items": {
                  "additionalProperties": false,
                  "properties": {
                    "content": {
                      "type": "string"
                    },
                    "role": {
                      "enum": [
                        "user",
                        "assistant"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "role",
                    "content"
                  ],
                  "type": "object"
                },
                "minItems": 1,
                "name": "messages",
                "required": true,
                "type": "array"
              },
              {
                "default": false,
                "default_known": true,
                "enum": [
                  false
                ],
                "enum_known": true,
                "name": "stream",
                "required": false,
                "type": "boolean"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "system",
                "required": false,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maximum": 32768,
                "minimum": 1,
                "name": "max_tokens",
                "required": true,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "temperature",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "top_p",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "top_k",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "items": {
                  "type": "string"
                },
                "name": "stop_sequences",
                "required": false,
                "type": "array"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "metadata",
                "required": false,
                "type": "object"
              }
            ],
            "request_schema": {
              "additionalProperties": false,
              "properties": {
                "max_tokens": {
                  "maximum": 32768,
                  "minimum": 1,
                  "type": "integer"
                },
                "messages": {
                  "items": {
                    "additionalProperties": false,
                    "properties": {
                      "content": {
                        "type": "string"
                      },
                      "role": {
                        "enum": [
                          "user",
                          "assistant"
                        ],
                        "type": "string"
                      }
                    },
                    "required": [
                      "role",
                      "content"
                    ],
                    "type": "object"
                  },
                  "minItems": 1,
                  "type": "array"
                },
                "metadata": {
                  "type": "object"
                },
                "model": {
                  "enum": [
                    "poolside/laguna-s-2.1:free"
                  ],
                  "type": "string"
                },
                "stop_sequences": {
                  "items": {
                    "type": "string"
                  },
                  "type": "array"
                },
                "stream": {
                  "default": false,
                  "enum": [
                    false
                  ],
                  "type": "boolean"
                },
                "system": {
                  "type": "string"
                },
                "temperature": {
                  "type": "number"
                },
                "top_k": {
                  "type": "integer"
                },
                "top_p": {
                  "type": "number"
                }
              },
              "required": [
                "model",
                "messages",
                "max_tokens"
              ],
              "type": "object"
            },
            "schema_template": {
              "body": {
                "max_tokens": 256,
                "messages": [
                  {
                    "content": "Summarize the supplied text in three concise points.",
                    "role": "user"
                  }
                ],
                "model": "poolside/laguna-s-2.1:free",
                "stream": false
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Use literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method.",
              "The complete encoded JSON request must not exceed 262144 bytes."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [
              "stream",
              "system",
              "temperature",
              "top_p",
              "top_k",
              "stop_sequences",
              "metadata"
            ],
            "required": [
              "model",
              "messages",
              "max_tokens"
            ]
          },
          "lifecycle": {
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/messages"
            },
            "mode": "synchronous_json",
            "status": [],
            "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/messages"
          },
          "method_aliases": [],
          "output": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "family": "text",
            "format": "JSON"
          }
        },
        "ctx": 262144,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"poolside/laguna-s-2.1:free\", \"messages\": [{\"role\": \"user\", \"content\": \"Summarize the supplied text in three concise points.\"}], \"stream\": false, \"max_tokens\": 256}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "anthropic",
        "fast_multiplier": 1,
        "flex_multiplier": 1,
        "fmt": "messages",
        "http": "POST",
        "img_in": null,
        "img_out": null,
        "in": 0,
        "input": [
          "text"
        ],
        "label": "Anthropic Messages",
        "max_out": 32768,
        "max_reasoning_effort_multiplier": 1,
        "method_aliases": [],
        "out": 0,
        "output": [
          "text"
        ],
        "path": "/v1/messages",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Standard rate",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Standard rate",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Standard rate",
            "when": "When maximum reasoning effort uses the default adjustment"
          },
          {
            "label": "Text-only zero rates",
            "value": "Text input and output only. Cache, tools, media and streaming are unavailable.",
            "when": "For text-only input and output"
          }
        ],
        "pricing": {
          "billing_mode": "token",
          "cache_read_price": null,
          "cache_write_1h_price": null,
          "cache_write_price": null,
          "fast_multiplier": 1,
          "flex_multiplier": 1,
          "image_input_price": null,
          "image_output_price": null,
          "input_price": 0,
          "intervals": [],
          "max_reasoning_effort_multiplier": 1,
          "output_price": 0,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "request_model_id": "poolside/laguna-s-2.1:free",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "unit": "token",
        "units": [
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          }
        ]
      }
    }
  ],
  "model_id": "poolside/laguna-s-2.1:free",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "61eb62b5f8aafbd7023976190592270995c22d47580df593f370dd43d872fa60",
    "input_html_sha256": "a278b11a7fe236ba3d871ca39c2186bec8d5304475a28b8098a98aef7f1dc65b",
    "private_audit_sha256": "7e79d9af31c0122ad1babe8cb27d3190e3388d1c2a0178f8141195ca282b2d91",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/uz/poolside-laguna-s-2-1-u003a-free/",
    "description": "Poolside Laguna S 2.1 — agent asosida kod yozish va uzoq davom etadigan ishlar uchun matn modeli; unda jami 118B va taxminan 8B faol parametr bor. U 1,048,576 tokenli model kontekstini modelning o‘zida qo‘llab-quvvatlanadigan vositalardan foydalanish va vosita chaqiruvlari bilan navbatlashadigan mulohaza yuritish bilan birlashtiradi; avvalgi fikrlash mazmunini saqlash vosita chaqiruvlari davomida ishni samarali davom ettirishga yordam beradi.",
    "locale": "uz",
    "md_url": "https://ailoot.ai/models/uz/poolside-laguna-s-2-1-u003a-free/index.md",
    "title": "Poolside: Laguna S 2.1 (free) — Ailoot",
    "url": "https://ailoot.ai/models/uz/poolside-laguna-s-2-1-u003a-free/"
  },
  "rawModel": {
    "about": "Poolside Laguna S 2.1 — agent asosida kod yozish va uzoq davom etadigan ishlar uchun yaratilgan mixture-of-experts til modeli. Unda jami 118B parametr va har bir token uchun taxminan 8B faol parametr bor; shu jihatdan u ishlab chiqaruvchi seriyasidagi kichikroq Laguna XS 2.1 va kattaroq Laguna M.1 orasida turadi. Model vositalarga ulangan ilovada matnni qayta ishlaydi va matn, kod, mulohaza hamda vosita chaqiruvi so‘rovlarini yaratadi.\n\nUning arxitekturasi 48 qatlamda global va sirpanuvchi oyna diqqatini birlashtiradi: 12 ta global qatlam va 36 ta sirpanuvchi oyna qatlami. 512 tokenli sirpanuvchi oyna shu qatlamlardagi mahalliy diqqatni ifodalaydi, hujjatlashtirilgan model konteksti esa 1,048,576 token. Bular turli o‘lchovlardir. Kattaroq kontekst ko‘p qadam davomida manba fayllari, kuzatuvlar va qarorlar to‘planadigan topshiriqlarni qo‘llab-quvvatlaydi. Ishchi maqsad va mazmunli dalillarni birga saqlang, amaldagi konfiguratsiya ichida keyingi mulohaza va yakuniy javob uchun joy ajrating.\n\nModelning asosiy maqsadi — qat’iyat, tekshirish va qayta ko‘rib chiqishni talab qiladigan dasturiy ishlar. Repozitoriy topshirig‘i uchun kutilgan xatti-harakatni, tegishli fayllarni matn sifatida, bog‘liqliklar haqidagi ma’lumotni va haqiqiy muvaffaqiyatsiz natijani bering. Aniq yo‘naltirilgan natijani so‘rang: “Ushbu regressiyaning sababini kuzatib toping, hujjatlashtirilgan interfeysni saqlaydigan o‘zgarish taklif qiling va tuzatishni aloqasiz o‘zgarishdan ajratadigan tekshiruvlarni ko‘rsating.” Vositalarga ulangan jarayonda model keyingi qadamni tanlashidan oldin unga bajarilgan har bir tekshiruv natijasini bering.\n\nOptimallashtirish ishlari uchun o‘lchovlar va aniq maqsadni taqdim eting. Misol: “Tor joyni aniqlash uchun ushbu profil va xotira ajratish hisobotidan foydalaning. Bitta o‘zgarish taklif qiling, kutilgan ta’sirni tushuntiring va ayni o‘lchov takrorlangach, uni boshlang‘ich natija bilan taqqoslang.” Bu unumdorlik haqidagi da’voni tekshirish mumkin qiladi. Poolside nashrida tekshirish va uzluksiz siljish muhim xatti-harakatlar sifatida muhokama qilinadi, ammo ishonarli izohning o‘zi tahrir tezroq, to‘g‘ri yoki tugallangan ekanini tasdiqlamaydi. O‘zgarishni saqlash yoki rad etishga asos bo‘ladigan kuzatuvlarni saqlang.\n\nLaguna S 2.1 vosita chaqiruvlaridan oldin va ularning orasida navbatlashib fikrlashni qo‘llab-quvvatlaydi. Ishlab chiqaruvchi avvalgi yordamchi xabarlaridagi mulohaza mazmunini keyingi tarixda saqlashni tavsiya qiladi; bu bloklarni tushirib qoldirish keyingi qadamlarda mulohaza to‘xtashiga sabab bo‘lishi mumkin. Yordamchi javobi, vosita chaqiruvi ma’lumoti va unga mos vosita natijasini birga saqlang. Bu uzoqroq topshiriq allaqachon nima sinab ko‘rilganini qayta-qayta tiklash o‘rniga o‘zining haqiqiy holatidan davom etishiga yordam beradi.\n\nHujjatlashtirilgan fikrlash tanlovlari off va max bo‘lib, ishlab chiqaruvchi tasvirlagan sozlamada max standart tarzda yoqilgan. Bu rejimda model fikrlash byudjetini o‘zi belgilaydi; nashrda alohida low, medium va high daraja boshqaruvlari berilmagan. Agent asosida kod yozish uchun Poolside fikrlashni yoqish va qadamlar orasida saqlashni tavsiya qiladi. Yakuniy material va tugallanish mezonlarini aniq ko‘rsating, uzun mulohaza ketma-ketligini esa tugallangan natijadan ajrating. Ishlab chiqaruvchi ortiqcha fikrlashni, ayniqsa musobaqa matematikasida, muhim cheklov sifatida ko‘rsatadi.\n\nVosita ta’riflariga alohida e’tibor kerak. Poolside ma’lumotiga ko‘ra, S 2.1 dastlab o‘xshash, ammo boshqacha sxemaga diqqat bilan amal qilish o‘rniga tanish vosita interfeysiga tayanishi mumkin. Vosita argumentida ichma-ich massiv bo‘lsa, noto‘g‘ri shakllangan yoki noto‘g‘ri ekranlangan JSON ham yaratishi mumkin. Haqiqiy argument ta’riflarini bering, taklif etilgan chaqiruvlarni tekshiring va chaqiruv mos kelmasa, aniq xatoni qaytaring. Ishlab chiqaruvchi kontekst ichidagi qayta aloqa orqali tuzatishni bu nomuvofiqliklarning ayrimlarini bartaraf etish usuli sifatida tavsiflaydi. Keyingi qaror uchun natijadagi vosita kuzatuvini mavjud holda saqlang.\n\nIshlab chiqaruvchi alohida BF16 va kvantlangan variantlarni hamda ixtiyoriy DFlash yordamchi bashorat modelini e’lon qiladi. Bular alohida materiallar va xizmat ko‘rsatish retseptlari bo‘lgani uchun kvantlangan nazorat nuqtasining xotira sarfi yoki spekulyativ dekodlash unumdorligini umumiy model nomidan kelib chiqib taxmin qilish kerak emas. Oddiy matnli ishlar uchun manba kodi, buyruq natijalari va hujjat parchalarini o‘qiladigan matn sifatida tayyorlang. Nashr modelning tasvirni tushunish imkoniyati yo‘qligini qayd etadi; skrinshot tahlilga asos bo‘lishidan oldin matnli kuzatuv yoki mos tashqi tekshirish bosqichi kerak.\n\nO‘zgargan material, muhim qarorlar, kuzatilgan tekshiruvlar va har qanday hal qilinmagan shartni ko‘rsatadigan yakuniy natijani so‘rang. Kodni ko‘rib chiqishda topilmalarni tegishli manbaga bog‘lang va har bir muammo xatti-harakatga nega ta’sir qilishini ko‘rsating. Tuzatishda taklif etilgan patchni xatti-harakati amalda tekshirilgan patchdan ajrating. Mulohaza va vosita tarixini saqlash modelga topshiriq ustida ishlashga yordam beradi, yakuniy material va qayd etilgan natijalar esa nima bajarilganini tasdiqlaydi.",
    "alias_of": null,
    "aliases": [],
    "author": "Poolside",
    "capabilities": {
      "context_length": 262144,
      "manufacturer_input": [
        "text"
      ],
      "manufacturer_output": [
        "text"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          }
        ],
        "summary": "Konfiguratsiya narxlari tafsilotlarda to‘liq ko‘rsatilgan."
      }
    ],
    "ctx": null,
    "formats": [
      "chat",
      "messages"
    ],
    "id": "poolside/laguna-s-2.1:free",
    "input": [
      "text"
    ],
    "kind": "text",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "example_body": {
              "messages": [
                {
                  "content": "Summarize the supplied text in three concise points.",
                  "role": "user"
                }
              ],
              "model": "poolside/laguna-s-2.1:free",
              "stream": false
            },
            "lifecycle": {
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/chat/completions"
              },
              "mode": "synchronous_json",
              "status": [],
              "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
              "family": "text",
              "format": "JSON"
            },
            "parameters": [
              {
                "default_known": false,
                "enum": [
                  "poolside/laguna-s-2.1:free"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "items": {
                  "additionalProperties": false,
                  "properties": {
                    "content": {
                      "type": "string"
                    },
                    "role": {
                      "enum": [
                        "user",
                        "assistant",
                        "system",
                        "developer"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "role",
                    "content"
                  ],
                  "type": "object"
                },
                "minItems": 1,
                "name": "messages",
                "required": true,
                "type": "array"
              },
              {
                "default": false,
                "default_known": true,
                "enum": [
                  false
                ],
                "enum_known": true,
                "name": "stream",
                "required": false,
                "type": "boolean"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maximum": 32768,
                "minimum": 1,
                "name": "max_tokens",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maximum": 32768,
                "minimum": 1,
                "name": "max_completion_tokens",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maximum": 128,
                "minimum": 1,
                "name": "n",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "temperature",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "top_p",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "seed",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "stop",
                "oneOf": [
                  {
                    "type": "string"
                  },
                  {
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  }
                ],
                "required": false
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "frequency_penalty",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "presence_penalty",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "user",
                "required": false,
                "type": "string"
              }
            ],
            "request_schema": {
              "additionalProperties": false,
              "properties": {
                "frequency_penalty": {
                  "type": "number"
                },
                "max_completion_tokens": {
                  "maximum": 32768,
                  "minimum": 1,
                  "type": "integer"
                },
                "max_tokens": {
                  "maximum": 32768,
                  "minimum": 1,
                  "type": "integer"
                },
                "messages": {
                  "items": {
                    "additionalProperties": false,
                    "properties": {
                      "content": {
                        "type": "string"
                      },
                      "role": {
                        "enum": [
                          "user",
                          "assistant",
                          "system",
                          "developer"
                        ],
                        "type": "string"
                      }
                    },
                    "required": [
                      "role",
                      "content"
                    ],
                    "type": "object"
                  },
                  "minItems": 1,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "poolside/laguna-s-2.1:free"
                  ],
                  "type": "string"
                },
                "n": {
                  "maximum": 128,
                  "minimum": 1,
                  "type": "integer"
                },
                "presence_penalty": {
                  "type": "number"
                },
                "seed": {
                  "type": "integer"
                },
                "stop": {
                  "oneOf": [
                    {
                      "type": "string"
                    },
                    {
                      "items": {
                        "type": "string"
                      },
                      "type": "array"
                    }
                  ]
                },
                "stream": {
                  "default": false,
                  "enum": [
                    false
                  ],
                  "type": "boolean"
                },
                "temperature": {
                  "type": "number"
                },
                "top_p": {
                  "type": "number"
                },
                "user": {
                  "type": "string"
                }
              },
              "required": [
                "model",
                "messages"
              ],
              "type": "object"
            },
            "schema_template": {
              "body": {
                "messages": [
                  {
                    "content": "Summarize the supplied text in three concise points.",
                    "role": "user"
                  }
                ],
                "model": "poolside/laguna-s-2.1:free",
                "stream": false
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Use literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method.",
              "The complete encoded JSON request must not exceed 262144 bytes."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [
              "stream",
              "max_tokens",
              "max_completion_tokens",
              "n",
              "temperature",
              "top_p",
              "seed",
              "stop",
              "frequency_penalty",
              "presence_penalty",
              "user"
            ],
            "required": [
              "model",
              "messages"
            ]
          },
          "lifecycle": {
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/chat/completions"
            },
            "mode": "synchronous_json",
            "status": [],
            "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/chat/completions"
          },
          "method_aliases": [],
          "output": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "family": "text",
            "format": "JSON"
          }
        },
        "ctx": 262144,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"poolside/laguna-s-2.1:free\", \"messages\": [{\"role\": \"user\", \"content\": \"Summarize the supplied text in three concise points.\"}], \"stream\": false}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": 1,
        "flex_multiplier": 1,
        "fmt": "chat",
        "hints": [
          "Send exact model ID with messages.",
          "Context length is not an output cap.",
          "A text file may supply literal text; image/audio/file-object inputs need exact binding."
        ],
        "http": "POST",
        "img_in": null,
        "img_out": null,
        "in": 0,
        "input": [
          "text"
        ],
        "label": "OpenAI Chat",
        "max_out": 32768,
        "max_reasoning_effort_multiplier": 1,
        "method_aliases": [],
        "out": 0,
        "output": [
          "text"
        ],
        "path": "/v1/chat/completions",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Standard rate",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Standard rate",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Standard rate",
            "when": "When maximum reasoning effort uses the default adjustment"
          },
          {
            "label": "Explicit cache pricing",
            "value": "Not enabled",
            "when": "When explicit cache is requested"
          },
          {
            "label": "Text-only zero rates",
            "value": "Text input and output only. Cache, tools, media and streaming are unavailable.",
            "when": "For text-only input and output"
          }
        ],
        "pricing": {
          "allow_explicit_cache": false,
          "billing_mode": "token",
          "cache_read_price": null,
          "cache_write_1h_price": null,
          "cache_write_price": null,
          "fast_multiplier": 1,
          "flex_multiplier": 1,
          "image_input_price": null,
          "image_output_price": null,
          "input_price": 0,
          "intervals": [],
          "max_reasoning_effort_multiplier": 1,
          "output_price": 0,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "request_model_id": "poolside/laguna-s-2.1:free",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "unit": "token",
        "units": [
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          }
        ]
      },
      {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "example_body": {
              "max_tokens": 256,
              "messages": [
                {
                  "content": "Summarize the supplied text in three concise points.",
                  "role": "user"
                }
              ],
              "model": "poolside/laguna-s-2.1:free",
              "stream": false
            },
            "lifecycle": {
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/messages"
              },
              "mode": "synchronous_json",
              "status": [],
              "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
              "family": "text",
              "format": "JSON"
            },
            "parameters": [
              {
                "default_known": false,
                "enum": [
                  "poolside/laguna-s-2.1:free"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "items": {
                  "additionalProperties": false,
                  "properties": {
                    "content": {
                      "type": "string"
                    },
                    "role": {
                      "enum": [
                        "user",
                        "assistant"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "role",
                    "content"
                  ],
                  "type": "object"
                },
                "minItems": 1,
                "name": "messages",
                "required": true,
                "type": "array"
              },
              {
                "default": false,
                "default_known": true,
                "enum": [
                  false
                ],
                "enum_known": true,
                "name": "stream",
                "required": false,
                "type": "boolean"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "system",
                "required": false,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maximum": 32768,
                "minimum": 1,
                "name": "max_tokens",
                "required": true,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "temperature",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "top_p",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "top_k",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "items": {
                  "type": "string"
                },
                "name": "stop_sequences",
                "required": false,
                "type": "array"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "metadata",
                "required": false,
                "type": "object"
              }
            ],
            "request_schema": {
              "additionalProperties": false,
              "properties": {
                "max_tokens": {
                  "maximum": 32768,
                  "minimum": 1,
                  "type": "integer"
                },
                "messages": {
                  "items": {
                    "additionalProperties": false,
                    "properties": {
                      "content": {
                        "type": "string"
                      },
                      "role": {
                        "enum": [
                          "user",
                          "assistant"
                        ],
                        "type": "string"
                      }
                    },
                    "required": [
                      "role",
                      "content"
                    ],
                    "type": "object"
                  },
                  "minItems": 1,
                  "type": "array"
                },
                "metadata": {
                  "type": "object"
                },
                "model": {
                  "enum": [
                    "poolside/laguna-s-2.1:free"
                  ],
                  "type": "string"
                },
                "stop_sequences": {
                  "items": {
                    "type": "string"
                  },
                  "type": "array"
                },
                "stream": {
                  "default": false,
                  "enum": [
                    false
                  ],
                  "type": "boolean"
                },
                "system": {
                  "type": "string"
                },
                "temperature": {
                  "type": "number"
                },
                "top_k": {
                  "type": "integer"
                },
                "top_p": {
                  "type": "number"
                }
              },
              "required": [
                "model",
                "messages",
                "max_tokens"
              ],
              "type": "object"
            },
            "schema_template": {
              "body": {
                "max_tokens": 256,
                "messages": [
                  {
                    "content": "Summarize the supplied text in three concise points.",
                    "role": "user"
                  }
                ],
                "model": "poolside/laguna-s-2.1:free",
                "stream": false
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Use literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method.",
              "The complete encoded JSON request must not exceed 262144 bytes."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [
              "stream",
              "system",
              "temperature",
              "top_p",
              "top_k",
              "stop_sequences",
              "metadata"
            ],
            "required": [
              "model",
              "messages",
              "max_tokens"
            ]
          },
          "lifecycle": {
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/messages"
            },
            "mode": "synchronous_json",
            "status": [],
            "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/messages"
          },
          "method_aliases": [],
          "output": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "family": "text",
            "format": "JSON"
          }
        },
        "ctx": 262144,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"poolside/laguna-s-2.1:free\", \"messages\": [{\"role\": \"user\", \"content\": \"Summarize the supplied text in three concise points.\"}], \"stream\": false, \"max_tokens\": 256}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "anthropic",
        "fast_multiplier": 1,
        "flex_multiplier": 1,
        "fmt": "messages",
        "http": "POST",
        "img_in": null,
        "img_out": null,
        "in": 0,
        "input": [
          "text"
        ],
        "label": "Anthropic Messages",
        "max_out": 32768,
        "max_reasoning_effort_multiplier": 1,
        "method_aliases": [],
        "out": 0,
        "output": [
          "text"
        ],
        "path": "/v1/messages",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Standard rate",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Standard rate",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Standard rate",
            "when": "When maximum reasoning effort uses the default adjustment"
          },
          {
            "label": "Text-only zero rates",
            "value": "Text input and output only. Cache, tools, media and streaming are unavailable.",
            "when": "For text-only input and output"
          }
        ],
        "pricing": {
          "billing_mode": "token",
          "cache_read_price": null,
          "cache_write_1h_price": null,
          "cache_write_price": null,
          "fast_multiplier": 1,
          "flex_multiplier": 1,
          "image_input_price": null,
          "image_output_price": null,
          "input_price": 0,
          "intervals": [],
          "max_reasoning_effort_multiplier": 1,
          "output_price": 0,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "request_model_id": "poolside/laguna-s-2.1:free",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "unit": "token",
        "units": [
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          }
        ]
      }
    ],
    "model_aliases": [
      {
        "canonical_model_id": "poolside/laguna-s-2.1:free",
        "request_model_id": "poolside/laguna-s-2.1:free",
        "route_label": "Ultra"
      }
    ],
    "name": "Poolside: Laguna S 2.1 (free)",
    "price": {
      "in": 0,
      "in_label": null,
      "out": 0,
      "out_label": null,
      "scope_label": "Token rates",
      "sort_in": 0,
      "sort_out": 0,
      "varies": true
    },
    "short": "Poolside Laguna S 2.1 — agent asosida kod yozish va uzoq davom etadigan ishlar uchun matn modeli; unda jami 118B va taxminan 8B faol parametr bor. U 1,048,576 tokenli model kontekstini modelning o‘zida qo‘llab-quvvatlanadigan vositalardan foydalanish va vosita chaqiruvlari bilan navbatlashadigan mulohaza yuritish bilan birlashtiradi; avvalgi fikrlash mazmunini saqlash vosita chaqiruvlari davomida ishni samarali davom ettirishga yordam beradi."
  },
  "renderer_schema": {
    "method_order": "Original DTO methods order; every exact route/format/path/caller survives.",
    "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers."
  },
  "representation": "exact-public-dto-and-native-renderer-html",
  "representationNotes": {
    "current_reference": {
      "about_json_pointer": "/aboutHtml",
      "methods": [
        {
          "contract_json_pointer": "/methods/0/rawMethod/contract",
          "html_json_pointer": "/methods/0/html",
          "method_ordinal": 0
        },
        {
          "contract_json_pointer": "/methods/1/rawMethod/contract",
          "html_json_pointer": "/methods/1/html",
          "method_ordinal": 1
        }
      ],
      "role": "current-semantic-reference"
    },
    "raw_input": {
      "examples_role": "historical-input-not-current-ready-examples",
      "json_pointers": [
        "/rawModel",
        "/methods/0/rawMethod",
        "/methods/1/rawMethod"
      ],
      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
  },
  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "Poolside Laguna S 2.1 — agent asosida kod yozish va uzoq davom etadigan ishlar uchun matn modeli; unda jami 118B va taxminan 8B faol parametr bor. U 1,048,576 tokenli model kontekstini modelning o‘zida qo‘llab-quvvatlanadigan vositalardan foydalanish va vosita chaqiruvlari bilan navbatlashadigan mulohaza yuritish bilan birlashtiradi; avvalgi fikrlash mazmunini saqlash vosita chaqiruvlari davomida ishni samarali davom ettirishga yordam beradi.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "f65b165215b141c77f908852675ec9c808f5cc40efabea9ca1c8c03c095798a0",
    "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6"
  },
  "sourceRevision": "69f059a7f87dcba4fb689506e873016099906ddb57cdefbb8df0b0a48b9d66aa"
}