{
  "aboutHtml": "<p>Kev-4B ialah model keputusan kompak untuk menjawab soalan berjenis tentang keadaan yang diberikan. Keadaan ialah dokumen atau rekod yang dinilai, dan setiap soalan mentakrifkan pilihan yang boleh diskor oleh model. Hasilnya ialah taburan kebarangkalian dan rekod keputusan dengan jenis yang ditetapkan, menjadikannya berguna untuk pengelasan dokumen, penghalaan, triage, pilihan pengekstrakan dan semakan berdasarkan kriteria yang dinyatakan.</p><p>Model menggabungkan seni bina asas Qwen3.5-4B-Base yang dibekukan dengan penyesuai LoRA dan kepala penunjuk. Seni bina asas mempunyai 32 lapisan, terdiri daripada 24 lapisan Gated DeltaNet dan lapan lapisan perhatian penuh. Penyesuai menyasarkan unjuran perhatian, MLP dan DeltaNet; kepala penunjuk menskor pilihan yang diberikan dan menukarkan skor itu kepada kebarangkalian. Ini ialah aliran kerja keputusan prefill sahaja, dengan pilihan membentuk ruang jawapan.</p><p>Tiga jenis soalan boleh hadir dalam permintaan yang sama. Soalan choice menerima 1–255 pilihan bernama, dengan penerangan pilihan jika diperlukan, dan mengembalikan pilihan paling berkemungkinan, nilai confidence berasingan dan kebarangkalian bagi pilihan. Soalan ya/tidak, yang dinamakan noul dalam format pembuat, mengembalikan kebarangkalian ya. Takrifkan makna ya dalam soalan, bukannya menganggap nombor tinggi sentiasa bermakna hasil positif untuk aplikasi.</p><p>Soalan skor bertertib menerima 1–255 tahap dan mengembalikan kebarangkalian tahap serta indeks jangkaannya. Indeks tahap bermula pada sifar. Format hasil pembuat turut membawa petunjuk tahap dan nilai confidence berasingan. Indeks jangkaan boleh berupa pecahan: ia merumuskan taburan merentas tahap bertertib anda, bukannya memilih label teks baharu. Simpan urutan dan petunjuk tahap bersama hasil supaya penarafan dapat ditafsirkan secara konsisten.</p><p>Soalan berkongsi keadaan yang sama tetapi dinilai secara bebas. Satu soalan tidak dapat membaca jawapan soalan lain, dan keadaan dikira sekali lalu digunakan semula. Jika keputusan kemudian bergantung pada hasil keputusan terdahulu, nyatakan kebergantungan itu dengan jelas dalam keadaan berikutnya, bukannya mengharapkan soalan dalam satu permintaan membentuk rantaian. Ini menjadikan aliran kerja keadaan bersama sesuai untuk beberapa semakan bebas pada dokumen yang sama.</p><p>Sediakan keadaan dengan bukti yang benar-benar diperlukan soalan. Ia boleh berupa teks biasa atau objek atau tatasusunan JSON yang dipaparkan sebagai teks berlabel. Pastikan nama medan, unit, syarat dasar dan petikan sumber berkaitan jelas. Tulis arahan khusus untuk setiap soalan dan berikan makna kepada pilihannya yang boleh dibezakan berdasarkan rekod. Untuk tugas penghalaan sokongan asal, keadaan boleh mengandungi permintaan dan konteksnya, manakala pilihan mentakrifkan kategori penghantaran, akses dan sokongan produk dengan penerangan pendek.</p><p>Soalan kedua boleh menilai kesegeraan, dan soalan bertertib boleh menilai berapa banyak tindakan susulan yang diperlukan permintaan. Soalan-soalan ini menjawab perkara operasi yang berbeza, maka takrifkan setiap satunya secara berasingan. Sertakan pilihan semakan atau bukti tidak mencukupi yang sesuai apabila tugas pilihan memerlukannya, dan simpan taburan penuh apabila beberapa kategori munasabah. Aplikasi memutuskan cara menghala atau menyemak hasil; model membekalkan rekod berskor.</p><p>Kev-4B ditujukan untuk keputusan berjenis terhadap dokumen beberapa ribu token. Profil penyajian pembuat menerima keadaan sehingga 65,536 token dan memperuntukkan ruang tambahan bagi setiap soalan, manakala panjang konteks yang disahkan untuk checkpoint ini ialah 8192 token. Ini sempadan yang berbeza: penerimaan keadaan lebih panjang tidak membuktikan keputusan yang sama tahap kebolehpercayaannya pada setiap panjang. Pastikan petikan penentu kompak dan kekalkan labelnya ketika menyediakan rekod panjang untuk pengelasan.</p><p>Profil yang dikeluarkan menggunakan bahasa Inggeris. Tugas bergunanya bergantung pada bukti dalam keadaan yang diberikan dan pilihan yang ditakrifkan, bukannya sembang terbuka, peringkasan atau jawapan berasaskan pengetahuan luas. Aritmetik tarikh pada ketepatan hari ialah batasan khusus: pembuat menyediakan prapemproses fakta tarikh berasingan yang membekalkan selang masa terkira. Untuk semakan tarikh akhir, sertakan tarikh berkaitan dan selang hari yang telah dikira dalam keadaan, bersama peraturan yang menggunakannya.</p><p>Checkpoint dibekalkan dengan kalibrasi kebarangkalian yang telah dipadankan, tetapi confidence boleh berubah mengikut domain dokumen dan reka bentuk soalan. Pembuat juga mendokumenkan penalaan halus checkpoint terbuka pada label khusus tugas serta pemadanan kalibrasi kebarangkaliannya kepada beban kerja itu; ini aliran kerja penyesuaian berasingan daripada penskoran keadaan yang diberikan. Pilih ambang keputusan menggunakan contoh berlabel daripada beban kerja sebenar dan pastikan kes tidak pasti kekal kelihatan untuk semakan. Pembuat mengecualikan keputusan penting tentang manusia yang diautomatikkan sepenuhnya tanpa semakan manusia. Urutan pilihan juga boleh mempengaruhi jawapan, maka kekalkan urutan stabil apabila membandingkan hasil. Nilai label terpilih, medan confidence berasingan dan taburan kebarangkalian mengikut peranan masing-masing dalam aliran kerja anda.</p><p>Keluaran Kev-4B semasa yang diterangkan pembuat tergolong dalam Kev 1.0 dan menggunakan asas Qwen3.5. Keluaran terdahulu berasaskan Qwen3 dan keluaran yang hanya meliputi peringkat dokumen kekal sebagai versi berbeza. Simpan edisi terpilih dan takrif soalan bersama output ketika membangunkan aliran kerja khusus tugas, bukannya mencampurkan hasil daripada profil berbeza.</p><p>Artifak akhir yang berguna ialah set rekod keputusan bernama bersama soalan asal, takrif pilihan, taburan dan sebarang petunjuk tahap bertertib. Untuk semakan kualiti jawapan, keadaan perlu merangkumi jawapan cadangan, bukti dan kriteria yang diuji. Untuk triage dasar, ia perlu merangkumi peraturan terpakai dan fakta berkaitan. Simpan input itu di sisi hasil supaya semakan dapat menentukan mengapa keputusan sesuai atau mengenal pasti fakta yang belum tersedia dan perlu diberikan.</p>",
  "aboutText": "Kev-4B ialah model keputusan kompak untuk menjawab soalan berjenis tentang keadaan yang diberikan. Keadaan ialah dokumen atau rekod yang dinilai, dan setiap soalan mentakrifkan pilihan yang boleh diskor oleh model. Hasilnya ialah taburan kebarangkalian dan rekod keputusan dengan jenis yang ditetapkan, menjadikannya berguna untuk pengelasan dokumen, penghalaan, triage, pilihan pengekstrakan dan semakan berdasarkan kriteria yang dinyatakan.\n\nModel menggabungkan seni bina asas Qwen3.5-4B-Base yang dibekukan dengan penyesuai LoRA dan kepala penunjuk. Seni bina asas mempunyai 32 lapisan, terdiri daripada 24 lapisan Gated DeltaNet dan lapan lapisan perhatian penuh. Penyesuai menyasarkan unjuran perhatian, MLP dan DeltaNet; kepala penunjuk menskor pilihan yang diberikan dan menukarkan skor itu kepada kebarangkalian. Ini ialah aliran kerja keputusan prefill sahaja, dengan pilihan membentuk ruang jawapan.\n\nTiga jenis soalan boleh hadir dalam permintaan yang sama. Soalan choice menerima 1–255 pilihan bernama, dengan penerangan pilihan jika diperlukan, dan mengembalikan pilihan paling berkemungkinan, nilai confidence berasingan dan kebarangkalian bagi pilihan. Soalan ya/tidak, yang dinamakan noul dalam format pembuat, mengembalikan kebarangkalian ya. Takrifkan makna ya dalam soalan, bukannya menganggap nombor tinggi sentiasa bermakna hasil positif untuk aplikasi.\n\nSoalan skor bertertib menerima 1–255 tahap dan mengembalikan kebarangkalian tahap serta indeks jangkaannya. Indeks tahap bermula pada sifar. Format hasil pembuat turut membawa petunjuk tahap dan nilai confidence berasingan. Indeks jangkaan boleh berupa pecahan: ia merumuskan taburan merentas tahap bertertib anda, bukannya memilih label teks baharu. Simpan urutan dan petunjuk tahap bersama hasil supaya penarafan dapat ditafsirkan secara konsisten.\n\nSoalan berkongsi keadaan yang sama tetapi dinilai secara bebas. Satu soalan tidak dapat membaca jawapan soalan lain, dan keadaan dikira sekali lalu digunakan semula. Jika keputusan kemudian bergantung pada hasil keputusan terdahulu, nyatakan kebergantungan itu dengan jelas dalam keadaan berikutnya, bukannya mengharapkan soalan dalam satu permintaan membentuk rantaian. Ini menjadikan aliran kerja keadaan bersama sesuai untuk beberapa semakan bebas pada dokumen yang sama.\n\nSediakan keadaan dengan bukti yang benar-benar diperlukan soalan. Ia boleh berupa teks biasa atau objek atau tatasusunan JSON yang dipaparkan sebagai teks berlabel. Pastikan nama medan, unit, syarat dasar dan petikan sumber berkaitan jelas. Tulis arahan khusus untuk setiap soalan dan berikan makna kepada pilihannya yang boleh dibezakan berdasarkan rekod. Untuk tugas penghalaan sokongan asal, keadaan boleh mengandungi permintaan dan konteksnya, manakala pilihan mentakrifkan kategori penghantaran, akses dan sokongan produk dengan penerangan pendek.\n\nSoalan kedua boleh menilai kesegeraan, dan soalan bertertib boleh menilai berapa banyak tindakan susulan yang diperlukan permintaan. Soalan-soalan ini menjawab perkara operasi yang berbeza, maka takrifkan setiap satunya secara berasingan. Sertakan pilihan semakan atau bukti tidak mencukupi yang sesuai apabila tugas pilihan memerlukannya, dan simpan taburan penuh apabila beberapa kategori munasabah. Aplikasi memutuskan cara menghala atau menyemak hasil; model membekalkan rekod berskor.\n\nKev-4B ditujukan untuk keputusan berjenis terhadap dokumen beberapa ribu token. Profil penyajian pembuat menerima keadaan sehingga 65,536 token dan memperuntukkan ruang tambahan bagi setiap soalan, manakala panjang konteks yang disahkan untuk checkpoint ini ialah 8192 token. Ini sempadan yang berbeza: penerimaan keadaan lebih panjang tidak membuktikan keputusan yang sama tahap kebolehpercayaannya pada setiap panjang. Pastikan petikan penentu kompak dan kekalkan labelnya ketika menyediakan rekod panjang untuk pengelasan.\n\nProfil yang dikeluarkan menggunakan bahasa Inggeris. Tugas bergunanya bergantung pada bukti dalam keadaan yang diberikan dan pilihan yang ditakrifkan, bukannya sembang terbuka, peringkasan atau jawapan berasaskan pengetahuan luas. Aritmetik tarikh pada ketepatan hari ialah batasan khusus: pembuat menyediakan prapemproses fakta tarikh berasingan yang membekalkan selang masa terkira. Untuk semakan tarikh akhir, sertakan tarikh berkaitan dan selang hari yang telah dikira dalam keadaan, bersama peraturan yang menggunakannya.\n\nCheckpoint dibekalkan dengan kalibrasi kebarangkalian yang telah dipadankan, tetapi confidence boleh berubah mengikut domain dokumen dan reka bentuk soalan. Pembuat juga mendokumenkan penalaan halus checkpoint terbuka pada label khusus tugas serta pemadanan kalibrasi kebarangkaliannya kepada beban kerja itu; ini aliran kerja penyesuaian berasingan daripada penskoran keadaan yang diberikan. Pilih ambang keputusan menggunakan contoh berlabel daripada beban kerja sebenar dan pastikan kes tidak pasti kekal kelihatan untuk semakan. Pembuat mengecualikan keputusan penting tentang manusia yang diautomatikkan sepenuhnya tanpa semakan manusia. Urutan pilihan juga boleh mempengaruhi jawapan, maka kekalkan urutan stabil apabila membandingkan hasil. Nilai label terpilih, medan confidence berasingan dan taburan kebarangkalian mengikut peranan masing-masing dalam aliran kerja anda.\n\nKeluaran Kev-4B semasa yang diterangkan pembuat tergolong dalam Kev 1.0 dan menggunakan asas Qwen3.5. Keluaran terdahulu berasaskan Qwen3 dan keluaran yang hanya meliputi peringkat dokumen kekal sebagai versi berbeza. Simpan edisi terpilih dan takrif soalan bersama output ketika membangunkan aliran kerja khusus tugas, bukannya mencampurkan hasil daripada profil berbeza.\n\nArtifak akhir yang berguna ialah set rekod keputusan bernama bersama soalan asal, takrif pilihan, taburan dan sebarang petunjuk tahap bertertib. Untuk semakan kualiti jawapan, keadaan perlu merangkumi jawapan cadangan, bukti dan kriteria yang diuji. Untuk triage dasar, ia perlu merangkumi peraturan terpakai dan fakta berkaitan. Simpan input itu di sisi hasil supaya semakan dapat menentukan mengapa keputusan sesuai atau mengenal pasti fakta yang belum tersedia dan perlu diberikan.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">Jared Palmer: Kev 4B</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Tutup\">×</button></div><div class=\"idline\"><span>Jared Palmer /</span><code>jaredpalmer/kev-4b</code><button type=\"button\" id=\"copy-id\">Salin ID</button></div><nav class=\"card-jump-nav\" aria-label=\"Bahagian kad model\"><button type=\"button\" data-card-jump=\"overview\">Pengenalan</button><button type=\"button\" data-card-jump=\"methods\">Input &amp; kaedah</button><button type=\"button\" data-card-jump=\"pricing\">Pelan harga</button><button type=\"button\" data-card-jump=\"examples\">Contoh</button><button type=\"button\" data-card-jump=\"results\">Hasil</button><button type=\"button\" data-card-jump=\"aliases\">Alias</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"Kaedah API\"><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-0\" data-card-method=\"Ultra|systemone|/v1/systemone|jaredpalmer%2Fkev-4b\">System One</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\">Pengenalan</h3><p class=\"mdesc-full\">Kev-4B menskor soalan berjenis tentang dokumen bahasa Inggeris yang diberikan dan mengembalikan kebarangkalian terkalibrasi bagi pilihan yang anda takrifkan. Gunakan soalan ya/tidak, pilihan dan skor bertertib untuk pengelasan, penghalaan, triage serta semakan yang memerlukan keputusan berstruktur, bukannya prosa terjana.</p><dl class=\"card-io\" data-card-io><div><dt>Input yang diterima</dt><dd>Teks</dd></div><div><dt>Hasil</dt><dd>decisions</dd></div></dl><details class=\"card-about\"><summary>Tentang model</summary><p class=\"note-s\" data-model-method-boundary>Huraian ini merangkumi keupayaan model. Input, output dan pilihan yang tersedia di Ailoot disenaraikan di bawah untuk kaedah yang dipilih.</p><div class=\"mabout\" id=\"m-about\"><p>Kev-4B ialah model keputusan kompak untuk menjawab soalan berjenis tentang keadaan yang diberikan. Keadaan ialah dokumen atau rekod yang dinilai, dan setiap soalan mentakrifkan pilihan yang boleh diskor oleh model. Hasilnya ialah taburan kebarangkalian dan rekod keputusan dengan jenis yang ditetapkan, menjadikannya berguna untuk pengelasan dokumen, penghalaan, triage, pilihan pengekstrakan dan semakan berdasarkan kriteria yang dinyatakan.</p><p>Model menggabungkan seni bina asas Qwen3.5-4B-Base yang dibekukan dengan penyesuai LoRA dan kepala penunjuk. Seni bina asas mempunyai 32 lapisan, terdiri daripada 24 lapisan Gated DeltaNet dan lapan lapisan perhatian penuh. Penyesuai menyasarkan unjuran perhatian, MLP dan DeltaNet; kepala penunjuk menskor pilihan yang diberikan dan menukarkan skor itu kepada kebarangkalian. Ini ialah aliran kerja keputusan prefill sahaja, dengan pilihan membentuk ruang jawapan.</p><p>Tiga jenis soalan boleh hadir dalam permintaan yang sama. Soalan choice menerima 1–255 pilihan bernama, dengan penerangan pilihan jika diperlukan, dan mengembalikan pilihan paling berkemungkinan, nilai confidence berasingan dan kebarangkalian bagi pilihan. Soalan ya/tidak, yang dinamakan noul dalam format pembuat, mengembalikan kebarangkalian ya. Takrifkan makna ya dalam soalan, bukannya menganggap nombor tinggi sentiasa bermakna hasil positif untuk aplikasi.</p><p>Soalan skor bertertib menerima 1–255 tahap dan mengembalikan kebarangkalian tahap serta indeks jangkaannya. Indeks tahap bermula pada sifar. Format hasil pembuat turut membawa petunjuk tahap dan nilai confidence berasingan. Indeks jangkaan boleh berupa pecahan: ia merumuskan taburan merentas tahap bertertib anda, bukannya memilih label teks baharu. Simpan urutan dan petunjuk tahap bersama hasil supaya penarafan dapat ditafsirkan secara konsisten.</p><p>Soalan berkongsi keadaan yang sama tetapi dinilai secara bebas. Satu soalan tidak dapat membaca jawapan soalan lain, dan keadaan dikira sekali lalu digunakan semula. Jika keputusan kemudian bergantung pada hasil keputusan terdahulu, nyatakan kebergantungan itu dengan jelas dalam keadaan berikutnya, bukannya mengharapkan soalan dalam satu permintaan membentuk rantaian. Ini menjadikan aliran kerja keadaan bersama sesuai untuk beberapa semakan bebas pada dokumen yang sama.</p><p>Sediakan keadaan dengan bukti yang benar-benar diperlukan soalan. Ia boleh berupa teks biasa atau objek atau tatasusunan JSON yang dipaparkan sebagai teks berlabel. Pastikan nama medan, unit, syarat dasar dan petikan sumber berkaitan jelas. Tulis arahan khusus untuk setiap soalan dan berikan makna kepada pilihannya yang boleh dibezakan berdasarkan rekod. Untuk tugas penghalaan sokongan asal, keadaan boleh mengandungi permintaan dan konteksnya, manakala pilihan mentakrifkan kategori penghantaran, akses dan sokongan produk dengan penerangan pendek.</p><p>Soalan kedua boleh menilai kesegeraan, dan soalan bertertib boleh menilai berapa banyak tindakan susulan yang diperlukan permintaan. Soalan-soalan ini menjawab perkara operasi yang berbeza, maka takrifkan setiap satunya secara berasingan. Sertakan pilihan semakan atau bukti tidak mencukupi yang sesuai apabila tugas pilihan memerlukannya, dan simpan taburan penuh apabila beberapa kategori munasabah. Aplikasi memutuskan cara menghala atau menyemak hasil; model membekalkan rekod berskor.</p><p>Kev-4B ditujukan untuk keputusan berjenis terhadap dokumen beberapa ribu token. Profil penyajian pembuat menerima keadaan sehingga 65,536 token dan memperuntukkan ruang tambahan bagi setiap soalan, manakala panjang konteks yang disahkan untuk checkpoint ini ialah 8192 token. Ini sempadan yang berbeza: penerimaan keadaan lebih panjang tidak membuktikan keputusan yang sama tahap kebolehpercayaannya pada setiap panjang. Pastikan petikan penentu kompak dan kekalkan labelnya ketika menyediakan rekod panjang untuk pengelasan.</p><p>Profil yang dikeluarkan menggunakan bahasa Inggeris. Tugas bergunanya bergantung pada bukti dalam keadaan yang diberikan dan pilihan yang ditakrifkan, bukannya sembang terbuka, peringkasan atau jawapan berasaskan pengetahuan luas. Aritmetik tarikh pada ketepatan hari ialah batasan khusus: pembuat menyediakan prapemproses fakta tarikh berasingan yang membekalkan selang masa terkira. Untuk semakan tarikh akhir, sertakan tarikh berkaitan dan selang hari yang telah dikira dalam keadaan, bersama peraturan yang menggunakannya.</p><p>Checkpoint dibekalkan dengan kalibrasi kebarangkalian yang telah dipadankan, tetapi confidence boleh berubah mengikut domain dokumen dan reka bentuk soalan. Pembuat juga mendokumenkan penalaan halus checkpoint terbuka pada label khusus tugas serta pemadanan kalibrasi kebarangkaliannya kepada beban kerja itu; ini aliran kerja penyesuaian berasingan daripada penskoran keadaan yang diberikan. Pilih ambang keputusan menggunakan contoh berlabel daripada beban kerja sebenar dan pastikan kes tidak pasti kekal kelihatan untuk semakan. Pembuat mengecualikan keputusan penting tentang manusia yang diautomatikkan sepenuhnya tanpa semakan manusia. Urutan pilihan juga boleh mempengaruhi jawapan, maka kekalkan urutan stabil apabila membandingkan hasil. Nilai label terpilih, medan confidence berasingan dan taburan kebarangkalian mengikut peranan masing-masing dalam aliran kerja anda.</p><p>Keluaran Kev-4B semasa yang diterangkan pembuat tergolong dalam Kev 1.0 dan menggunakan asas Qwen3.5. Keluaran terdahulu berasaskan Qwen3 dan keluaran yang hanya meliputi peringkat dokumen kekal sebagai versi berbeza. Simpan edisi terpilih dan takrif soalan bersama output ketika membangunkan aliran kerja khusus tugas, bukannya mencampurkan hasil daripada profil berbeza.</p><p>Artifak akhir yang berguna ialah set rekod keputusan bernama bersama soalan asal, takrif pilihan, taburan dan sebarang petunjuk tahap bertertib. Untuk semakan kualiti jawapan, keadaan perlu merangkumi jawapan cadangan, bukti dan kriteria yang diuji. Untuk triage dasar, ia perlu merangkumi peraturan terpakai dan fakta berkaitan. Simpan input itu di sisi hasil supaya semakan dapat menentukan mengapa keputusan sesuai atau mengenal pasti fakta yang belum tersedia dan perlu diberikan.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Tersedia di Ailoot · input &amp; kaedah</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · System One</b> <code>POST /v1/systemone</code></summary><dl class=\"method-capabilities\"><div><dt>Input</dt><dd><code>text</code></dd></div><div><dt>Output</dt><dd><code>decisions</code></dd></div><div><dt>Format output</dt><dd>json</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Medan</th><th>Jenis</th><th>Keperluan</th><th>Nilai &amp; had</th><th>Lalai</th></tr></thead><tbody><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>string</code></td><td data-cell-label=\"Keperluan\"><span class=\"card-cell-label\">Keperluan</span>Diperlukan</td><td data-cell-label=\"Nilai &amp; had\"><span class=\"card-cell-label\">Nilai &amp; had</span><div>jaredpalmer/kev-4b</div></td><td data-cell-label=\"Lalai\" data-default=\"unspecified\"><span class=\"card-cell-label\">Lalai</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">provider</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>schema</code></td><td data-cell-label=\"Keperluan\"><span class=\"card-cell-label\">Keperluan</span>Pilihan</td><td data-cell-label=\"Nilai &amp; had\"><span class=\"card-cell-label\">Nilai &amp; had</span></td><td data-cell-label=\"Lalai\" data-default=\"unspecified\"><span class=\"card-cell-label\">Lalai</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">questions</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>object</code></td><td data-cell-label=\"Keperluan\"><span class=\"card-cell-label\">Keperluan</span>Diperlukan</td><td data-cell-label=\"Nilai &amp; had\"><span class=\"card-cell-label\">Nilai &amp; had</span></td><td data-cell-label=\"Lalai\" data-default=\"unspecified\"><span class=\"card-cell-label\">Lalai</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">session_id</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>string</code></td><td data-cell-label=\"Keperluan\"><span class=\"card-cell-label\">Keperluan</span>Pilihan</td><td data-cell-label=\"Nilai &amp; had\"><span class=\"card-cell-label\">Nilai &amp; had</span></td><td data-cell-label=\"Lalai\" data-default=\"unspecified\"><span class=\"card-cell-label\">Lalai</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">state</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>schema</code></td><td data-cell-label=\"Keperluan\"><span class=\"card-cell-label\">Keperluan</span>Diperlukan</td><td data-cell-label=\"Nilai &amp; had\"><span class=\"card-cell-label\">Nilai &amp; had</span></td><td data-cell-label=\"Lalai\" data-default=\"unspecified\"><span class=\"card-cell-label\">Lalai</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">trace</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>schema</code></td><td data-cell-label=\"Keperluan\"><span class=\"card-cell-label\">Keperluan</span>Pilihan</td><td data-cell-label=\"Nilai &amp; had\"><span class=\"card-cell-label\">Nilai &amp; had</span></td><td data-cell-label=\"Lalai\" data-default=\"unspecified\"><span class=\"card-cell-label\">Lalai</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">user</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>string</code></td><td data-cell-label=\"Keperluan\"><span class=\"card-cell-label\">Keperluan</span>Pilihan</td><td data-cell-label=\"Nilai &amp; had\"><span class=\"card-cell-label\">Nilai &amp; had</span></td><td data-cell-label=\"Lalai\" data-default=\"unspecified\"><span class=\"card-cell-label\">Lalai</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">questions.&lt;id&gt;.type</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>string</code></td><td data-cell-label=\"Keperluan\"><span class=\"card-cell-label\">Keperluan</span>Diperlukan</td><td data-cell-label=\"Nilai &amp; had\"><span class=\"card-cell-label\">Nilai &amp; had</span><div>noul, choice, score</div></td><td data-cell-label=\"Lalai\" data-default=\"unspecified\"><span class=\"card-cell-label\">Lalai</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">questions.&lt;id&gt;.instructions</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>string|object|array</code></td><td data-cell-label=\"Keperluan\"><span class=\"card-cell-label\">Keperluan</span>Diperlukan</td><td data-cell-label=\"Nilai &amp; had\"><span class=\"card-cell-label\">Nilai &amp; had</span></td><td data-cell-label=\"Lalai\" data-default=\"unspecified\"><span class=\"card-cell-label\">Lalai</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">questions.&lt;id&gt;.criteria</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>object|array</code></td><td data-cell-label=\"Keperluan\"><span class=\"card-cell-label\">Keperluan</span>Pilihan</td><td data-cell-label=\"Nilai &amp; had\"><span class=\"card-cell-label\">Nilai &amp; had</span><div>Syarat: choice/score: wajib; noul: pilihan. Kriteria choice ialah objek; score ialah tatasusunan dengan minItems1.</div></td><td data-cell-label=\"Lalai\" data-default=\"unspecified\"><span class=\"card-cell-label\">Lalai</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">questions.&lt;id&gt;.criteria.true</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>string|object|array</code></td><td data-cell-label=\"Keperluan\"><span class=\"card-cell-label\">Keperluan</span>Diperlukan</td><td data-cell-label=\"Nilai &amp; had\"><span class=\"card-cell-label\">Nilai &amp; had</span><div>Terpakai apabila: Objek kriteria noul dibekalkan</div></td><td data-cell-label=\"Lalai\" data-default=\"unspecified\"><span class=\"card-cell-label\">Lalai</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">questions.&lt;id&gt;.criteria.false</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>string|object|array</code></td><td data-cell-label=\"Keperluan\"><span class=\"card-cell-label\">Keperluan</span>Diperlukan</td><td data-cell-label=\"Nilai &amp; had\"><span class=\"card-cell-label\">Nilai &amp; had</span><div>Terpakai apabila: Objek kriteria noul dibekalkan</div></td><td data-cell-label=\"Lalai\" data-default=\"unspecified\"><span class=\"card-cell-label\">Lalai</span>—</td></tr></tbody></table></div><details class=\"card-about\" data-material-combinations><summary>Gabungan bahan input</summary><p class=\"note-s\"><b>noul</b> · Diperlukan: state, questions.&lt;id&gt;.type=noul, questions.&lt;id&gt;.instructions</p><p class=\"note-s\"><b>choice</b> · Diperlukan: state, questions.&lt;id&gt;.type=choice, questions.&lt;id&gt;.instructions, criteria object</p><p class=\"note-s\"><b>score</b> · Diperlukan: state, questions.&lt;id&gt;.type=score, questions.&lt;id&gt;.instructions, criteria array with minItems1</p></details><details class=\"note-s\" data-method-contract><summary>Parameter kaedah dan kitar hayat</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parameter</th><th>Kontrak</th></tr></thead><tbody><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>content_type</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>application/json</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>required</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>model, state, questions</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>material_types</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>text</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>optional_controls</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>provider, session_id, trace, user</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>multimodal_input_binding</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>null</td></tr></tbody></table></div><p>Kitar hayat: <code>synchronous</code></p><p class=\"note-s\">Hantar ID model yang tepat dan simpan respons natif yang lengkap.</p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Pelan harga</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Rujukan tarif tidak menambah pilihan permintaan. Parameter yang disokong disenaraikan untuk kaedah yang dipilih.</p><dl data-price-conditions><dt>Mod pantas</dt><dd>Tidak dinyatakan <span class=\"note-s\">Apabila mod pantas dipilih</span></dd><dt>Mod flex</dt><dd>Tidak dinyatakan <span class=\"note-s\">Apabila mod flex dipilih</span></dd><dt>Usaha penaakulan maksimum</dt><dd>Tidak dinyatakan <span class=\"note-s\">Apabila usaha penaakulan maksimum menggunakan pelarasan default</span></dd></dl></div><div data-declared-tariff-pricing><h4>Kadar Ailoot</h4><h4>Harga mengikut konfigurasi</h4><p class=\"note-s\">Padankan setiap caj dengan syarat yang dipaparkan. Gunakan satu kadar bagi setiap set konfigurasi alternatif.</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Konfigurasi</th><th>Jadual kadar</th><th>Token konteks, melebihi</th><th>Token konteks, sehingga dan termasuk</th><th>Caj</th></tr></thead><tbody><tr><th data-cell-label=\"Konfigurasi\" scope=\"row\"><span class=\"card-cell-label\">Konfigurasi</span>Kadar asas token</th><td data-cell-label=\"Jadual kadar\"><span class=\"card-cell-label\">Jadual kadar</span>Kadar asas</td><td data-cell-label=\"Token konteks, melebihi\"><span class=\"card-cell-label\">Token konteks, melebihi</span>—</td><td data-cell-label=\"Token konteks, sehingga dan termasuk\"><span class=\"card-cell-label\">Token konteks, sehingga dan termasuk</span>Tiada had atas</td><td data-cell-label=\"Caj\"><span class=\"card-cell-label\">Caj</span><div><span>Input · Token input</span> <b>$0.000084</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Output · Token output</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Input · Bacaan cache</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Input · Penulisan cache</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Input · Penulisan cache, 1 jam</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr><tr><th data-cell-label=\"Konfigurasi\" scope=\"row\"><span class=\"card-cell-label\">Konfigurasi</span>Tahap panjang permintaan 1</th><td data-cell-label=\"Jadual kadar\"><span class=\"card-cell-label\">Jadual kadar</span>—</td><td data-cell-label=\"Token konteks, melebihi\"><span class=\"card-cell-label\">Token konteks, melebihi</span>0</td><td data-cell-label=\"Token konteks, sehingga dan termasuk\"><span class=\"card-cell-label\">Token konteks, sehingga dan termasuk</span>Tiada had atas</td><td data-cell-label=\"Caj\"><span class=\"card-cell-label\">Caj</span><div><span>Input · Token input</span> <b>$0.000084</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Output · Token output</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Input · Bacaan cache</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Input · Penulisan cache</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Input · Penulisan cache, 1 jam</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot merizabkan anggaran amaun sebelum permintaan. Selepas hasil diterima, caj akhir diselesaikan berdasarkan penggunaan terukur. Penyelesaian caj penstriman menggunakan rekod penggunaan akhir. <a href=\"/docs/ms/billing/reserve/\">Cara rizab dan penyelesaian caj berfungsi →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">Contoh permintaan</h3><h4>Ailoot Ultra · System One</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Pilihan kod\"><button class=\"cg-tab\" id=\"model-code-1767-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1767-panel-0\" aria-selected=\"true\" tabindex=\"0\">Struktur permintaan rasmi yang dikekalkan; contoh dokumentasi</button><button class=\"cg-tab\" id=\"model-code-1767-tab-1\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1767-panel-1\" aria-selected=\"false\" tabindex=\"-1\">Gunakan bahan permintaan sebenar anda dan simpan hasil lengkap</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Salin kod\"><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-1767-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1767-tab-0\"><pre data-lang=\"json\"><code>{\n  &quot;model&quot;: &quot;jaredpalmer/kev-4b&quot;,\n  &quot;questions&quot;: {\n    &quot;is_bug&quot;: {\n      &quot;criteria&quot;: {\n        &quot;false&quot;: &quot;The customer is asking a question or requesting a feature.&quot;,\n        &quot;true&quot;: &quot;The customer describes broken or unexpected product behavior.&quot;\n      },\n      &quot;instructions&quot;: &quot;Is the customer reporting a software defect?&quot;,\n      &quot;type&quot;: &quot;noul&quot;\n    },\n    &quot;team&quot;: {\n      &quot;criteria&quot;: {\n        &quot;account&quot;: &quot;Login, permissions, or profile issues.&quot;,\n        &quot;frontend&quot;: &quot;Rendering, layout, or browser compatibility issues.&quot;,\n        &quot;payments&quot;: &quot;Checkout, billing, or payment processing issues.&quot;\n      },\n      &quot;instructions&quot;: &quot;Which team should own this ticket?&quot;,\n      &quot;type&quot;: &quot;choice&quot;\n    },\n    &quot;urgency&quot;: {\n      &quot;criteria&quot;: [\n        &quot;Can wait for the next release&quot;,\n        &quot;Should be fixed this week&quot;,\n        &quot;Blocking revenue right now&quot;\n      ],\n      &quot;instructions&quot;: &quot;How urgent is this ticket?&quot;,\n      &quot;type&quot;: &quot;score&quot;\n    }\n  },\n  &quot;state&quot;: {\n    &quot;customer_tier&quot;: &quot;enterprise&quot;,\n    &quot;ticket&quot;: &quot;My checkout page shows a blank screen after I click Pay. I have tried two browsers.&quot;\n  }\n}</code></pre></div><div class=\"cg-pane\" id=\"model-code-1767-panel-1\" role=\"tabpanel\" aria-labelledby=\"model-code-1767-tab-1\" hidden><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_REQUEST_FILE:?Set your actual JSON request file}&quot;\nexport AILOOT_REQUEST_FILE\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np=json.loads(Path(os.environ[&#39;AILOOT_REQUEST_FILE&#39;]).read_text(encoding=&#39;utf-8&#39;))\nif not isinstance(p,dict): raise SystemExit(&#39;Request must be a JSON object&#39;)\np[&#39;model&#39;]=&#39;jaredpalmer/kev-4b&#39;\nPath(&#39;request.json&#39;).write_text(json.dumps(p,ensure_ascii=False),encoding=&#39;utf-8&#39;)\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/systemone \\\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\npython3 - &lt;&lt;&#39;PY_RESULT&#39;\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(&#39;result.json&#39;).read_text()),ensure_ascii=False,indent=2))\nPY_RESULT\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Terima dan simpan hasil</h3><h4>Ailoot Ultra · System One</h4><p class=\"note-s\">json</p><div class=\"card-result-process\" data-all-results><h5>Simpan semua hasil yang selesai</h5><p class=\"note-s\">Simpan setiap respons lengkap, fail dan bahagian kandungan yang dikembalikan.</p><p class=\"note-s\">Setiap jawapan bagi ID soalan yang diberikan dikekalkan berserta jenis tepatnya, nilai noul/choice/score, keyakinan, kebarangkalian dan petunjuk. Keseluruhan JSON asal disimpan dan hanya dikembalikan selepas penyelesaian caj.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Jika respons asal perlu disemak</h5><p class=\"note-s\">Simpan operasi asal dan balasan penuh/separa; jangan ulang POST.</p></div><details class=\"card-about\" data-output-fields><summary>Medan respons</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>Medan</th><th>Jenis</th></tr></thead><tbody><tr><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>string</td></tr><tr><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">id</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>string</td></tr><tr><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">provider</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>string</td></tr><tr><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">answers.&lt;id&gt;.type</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>string</td></tr><tr><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">answers.&lt;id&gt;.noul</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>number</td></tr><tr><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">answers.&lt;id&gt;.choice</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>string</td></tr><tr><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">answers.&lt;id&gt;.score</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>number</td></tr><tr><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">answers.&lt;id&gt;.confidence</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>number</td></tr><tr><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">answers.&lt;id&gt;.probabilities</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>object</td></tr><tr><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">answers.&lt;id&gt;.legend</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>object</td></tr><tr><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">usage.input_tokens</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>integer</td></tr><tr><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">usage.output_tokens</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>integer</td></tr><tr><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">usage.cost</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>number</td></tr></tbody></table></div></details><details class=\"card-about\" data-method-errors><summary>Ralat dan langkah seterusnya</summary><div class=\"tw\" data-card-table=\"errors\"><table><thead><tr><th>Respons</th><th>Syarat</th><th>Langkah seterusnya</th></tr></thead><tbody><tr><th data-cell-label=\"Respons\" scope=\"row\"><span class=\"card-cell-label\">Respons</span>400 · <code>invalid_request_error</code></th><td data-cell-label=\"Syarat\"><span class=\"card-cell-label\">Syarat</span>Medan wajib, bentuk perwakilan atau nilai tidak sah</td><td data-cell-label=\"Langkah seterusnya\"><span class=\"card-cell-label\">Langkah seterusnya</span>Betulkan medan permintaan yang dinyatakan.</td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Alias</h3><h4>Alias model</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=jaredpalmer%2Fkev-4b&amp;route=Ultra&amp;caller=jaredpalmer%2Fkev-4b&amp;fmt=systemone\"><code>jaredpalmer/kev-4b</code></a></span></p><h4>Alias laluan kaedah</h4><p class=\"note-s\">Gunakan laluan kaedah yang dipaparkan di atas.</p><h4>ID pemanggil berkaitan</h4><p class=\"note-s\"><a href=\"#m=jaredpalmer%2Fkev-4b&amp;route=Ultra&amp;caller=jaredpalmer%2Fkev-4b&amp;fmt=systemone\"><code>jaredpalmer/kev-4b</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "jaredpalmer/kev-4b",
        "fmt": "systemone",
        "http": "POST",
        "path": "/v1/systemone",
        "request_model_id": "jaredpalmer/kev-4b",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|systemone|/v1/systemone|jaredpalmer%2Fkev-4b",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Every supplied question-ID answer with its exact type, noul/choice/score value, confidence, probabilities and legend is retained. Entire original JSON is stored and returned only after settlement.",
            "errors": [
              {
                "code": null,
                "condition": "Medan wajib, bentuk perwakilan atau nilai tidak sah",
                "http_status": 400,
                "recovery": "Betulkan medan permintaan yang dinyatakan.",
                "type": "invalid_request_error"
              }
            ],
            "hints": [],
            "ignored_fields": [],
            "lifecycle": {
              "cancel": null,
              "idempotency_header": null,
              "job_retrieve": null,
              "mode": "synchronous",
              "streaming": false,
              "unknown": "Simpan operasi asal dan balasan penuh/separa; jangan ulang POST."
            },
            "material_combinations": [
              {
                "mode": "noul",
                "optional": [
                  "criteria true/false descriptions"
                ],
                "required": [
                  "state",
                  "questions.<id>.type=noul",
                  "questions.<id>.instructions"
                ]
              },
              {
                "mode": "choice",
                "required": [
                  "state",
                  "questions.<id>.type=choice",
                  "questions.<id>.instructions",
                  "criteria object"
                ]
              },
              {
                "mode": "score",
                "required": [
                  "state",
                  "questions.<id>.type=score",
                  "questions.<id>.instructions",
                  "criteria array with minItems1"
                ]
              }
            ],
            "operation_modes": [
              "noul",
              "choice",
              "score"
            ],
            "outputs": {
              "all_results": "Setiap jawapan bagi ID soalan yang diberikan dikekalkan berserta jenis tepatnya, nilai noul/choice/score, keyakinan, kebarangkalian dan petunjuk. Keseluruhan JSON asal disimpan dan hanya dikembalikan selepas penyelesaian caj.",
              "family": "decisions",
              "fields": [
                {
                  "description": null,
                  "name": "model",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "id",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "provider",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "answers.<id>.type",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "answers.<id>.noul",
                  "type": "number"
                },
                {
                  "description": null,
                  "name": "answers.<id>.choice",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "answers.<id>.score",
                  "type": "number"
                },
                {
                  "description": null,
                  "name": "answers.<id>.confidence",
                  "type": "number"
                },
                {
                  "description": null,
                  "name": "answers.<id>.probabilities",
                  "type": "object"
                },
                {
                  "description": null,
                  "name": "answers.<id>.legend",
                  "type": "object"
                },
                {
                  "description": null,
                  "name": "usage.input_tokens",
                  "type": "integer"
                },
                {
                  "description": null,
                  "name": "usage.output_tokens",
                  "type": "integer"
                },
                {
                  "description": null,
                  "name": "usage.cost",
                  "type": "number"
                }
              ],
              "format": "json",
              "schema": {
                "properties": {
                  "answers": {
                    "additionalProperties": {
                      "description": "A Decisions answer using a boolean, choice, or score evaluation.",
                      "discriminator": {
                        "mapping": {
                          "choice": "#/components/schemas/DecisionsChoiceAnswer",
                          "noul": "#/components/schemas/DecisionsNoulAnswer",
                          "score": "#/components/schemas/DecisionsScoreAnswer"
                        },
                        "propertyName": "type"
                      },
                      "oneOf": [
                        {
                          "$ref": "#/components/schemas/DecisionsNoulAnswer"
                        },
                        {
                          "$ref": "#/components/schemas/DecisionsChoiceAnswer"
                        },
                        {
                          "$ref": "#/components/schemas/DecisionsScoreAnswer"
                        }
                      ]
                    },
                    "type": "object"
                  },
                  "id": {
                    "type": "string"
                  },
                  "model": {
                    "type": "string"
                  },
                  "provider": {
                    "type": "string"
                  },
                  "usage": {
                    "properties": {
                      "cost": {
                        "format": "double",
                        "type": "number"
                      },
                      "input_tokens": {
                        "type": "integer"
                      },
                      "output_tokens": {
                        "type": "integer"
                      }
                    },
                    "required": [
                      "input_tokens",
                      "output_tokens"
                    ],
                    "type": "object"
                  }
                },
                "required": [
                  "model",
                  "answers",
                  "usage"
                ],
                "type": "object"
              }
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "jaredpalmer/kev-4b"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "provider",
                "required": false,
                "type": "schema"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "questions",
                "required": true,
                "type": "object"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "description": "A unique identifier for grouping related requests (e.g., a conversation or agent workflow). Used for observability grouping in Broadcast and private logging; never sent to the provider. If provided in both the request body and the x-session-id header, the body value takes precedence. Maximum of 256 characters.",
                "enum": null,
                "enum_known": false,
                "maxLength": 256,
                "name": "session_id",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "description": "The content to evaluate: a plain string, or a JSON object or array of related context.",
                "enum": null,
                "enum_known": false,
                "name": "state",
                "required": true,
                "type": "schema"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "trace",
                "required": false,
                "type": "schema"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "maxLength": 256,
                "name": "user",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "noul",
                  "choice",
                  "score"
                ],
                "enum_known": true,
                "name": "questions.<id>.type",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "questions.<id>.instructions",
                "required": true,
                "type": "string|object|array"
              },
              {
                "availability": "source_interface",
                "conditions": "choice/score: wajib; noul: pilihan. Kriteria choice ialah objek; score ialah tatasusunan dengan minItems1.",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "questions.<id>.criteria",
                "required": false,
                "type": "object|array"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "questions.<id>.criteria.true",
                "required": true,
                "type": "string|object|array",
                "when": "Objek kriteria noul dibekalkan"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "questions.<id>.criteria.false",
                "required": true,
                "type": "string|object|array",
                "when": "Objek kriteria noul dibekalkan"
              }
            ],
            "unsupported": [
              "stream=true"
            ]
          },
          "hints": [
            "Hantar ID model yang tepat dan simpan respons natif yang lengkap."
          ],
          "input": {
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "multimodal_input_binding": null,
            "optional_controls": [
              "provider",
              "session_id",
              "trace",
              "user"
            ],
            "required": [
              "model",
              "state",
              "questions"
            ]
          },
          "lifecycle": {
            "cancel": null,
            "idempotency_header": null,
            "job_retrieve": null,
            "mode": "synchronous",
            "streaming": false,
            "unknown": "Preserve original operation and full/partial reply; do not replay POST."
          },
          "manufacturer_capability": {
            "context_length": 8192,
            "manufacturer_input": [
              "text"
            ],
            "manufacturer_output": [
              "decisions"
            ]
          },
          "method": {
            "http": "POST",
            "path": "/v1/systemone"
          },
          "method_aliases": [],
          "operation_modes": [
            "noul",
            "choice",
            "score"
          ],
          "output": {
            "all_results": "Every supplied question-ID answer with its exact type, noul/choice/score value, confidence, probabilities and legend is retained. Entire original JSON is stored and returned only after settlement.",
            "family": "decisions",
            "fields": [
              {
                "description": null,
                "name": "model",
                "type": "string"
              },
              {
                "description": null,
                "name": "id",
                "type": "string"
              },
              {
                "description": null,
                "name": "provider",
                "type": "string"
              },
              {
                "description": null,
                "name": "answers.<id>.type",
                "type": "string"
              },
              {
                "description": null,
                "name": "answers.<id>.noul",
                "type": "number"
              },
              {
                "description": null,
                "name": "answers.<id>.choice",
                "type": "string"
              },
              {
                "description": null,
                "name": "answers.<id>.score",
                "type": "number"
              },
              {
                "description": null,
                "name": "answers.<id>.confidence",
                "type": "number"
              },
              {
                "description": null,
                "name": "answers.<id>.probabilities",
                "type": "object"
              },
              {
                "description": null,
                "name": "answers.<id>.legend",
                "type": "object"
              },
              {
                "description": null,
                "name": "usage.input_tokens",
                "type": "integer"
              },
              {
                "description": null,
                "name": "usage.output_tokens",
                "type": "integer"
              },
              {
                "description": null,
                "name": "usage.cost",
                "type": "number"
              }
            ],
            "format": "json",
            "schema": {
              "properties": {
                "answers": {
                  "additionalProperties": {
                    "description": "A Decisions answer using a boolean, choice, or score evaluation.",
                    "discriminator": {
                      "mapping": {
                        "choice": "#/components/schemas/DecisionsChoiceAnswer",
                        "noul": "#/components/schemas/DecisionsNoulAnswer",
                        "score": "#/components/schemas/DecisionsScoreAnswer"
                      },
                      "propertyName": "type"
                    },
                    "oneOf": [
                      {
                        "$ref": "#/components/schemas/DecisionsNoulAnswer"
                      },
                      {
                        "$ref": "#/components/schemas/DecisionsChoiceAnswer"
                      },
                      {
                        "$ref": "#/components/schemas/DecisionsScoreAnswer"
                      }
                    ]
                  },
                  "type": "object"
                },
                "id": {
                  "type": "string"
                },
                "model": {
                  "type": "string"
                },
                "provider": {
                  "type": "string"
                },
                "usage": {
                  "properties": {
                    "cost": {
                      "format": "double",
                      "type": "number"
                    },
                    "input_tokens": {
                      "type": "integer"
                    },
                    "output_tokens": {
                      "type": "integer"
                    }
                  },
                  "required": [
                    "input_tokens",
                    "output_tokens"
                  ],
                  "type": "object"
                }
              },
              "required": [
                "model",
                "answers",
                "usage"
              ],
              "type": "object"
            }
          },
          "schema": {
            "request": {
              "properties": {
                "model": {
                  "enum": [
                    "jaredpalmer/kev-4b"
                  ],
                  "type": "string"
                },
                "provider": {
                  "allOf": [
                    {
                      "$ref": "#/components/schemas/ProviderPreferences"
                    },
                    {
                      "description": "Provider routing preferences for the request."
                    }
                  ]
                },
                "questions": {
                  "additionalProperties": {
                    "description": "A Decisions question using a boolean, choice, or ordered score evaluation.",
                    "discriminator": {
                      "mapping": {
                        "choice": "#/components/schemas/DecisionsChoiceQuestion",
                        "noul": "#/components/schemas/DecisionsNoulQuestion",
                        "score": "#/components/schemas/DecisionsScoreQuestion"
                      },
                      "propertyName": "type"
                    },
                    "oneOf": [
                      {
                        "$ref": "#/components/schemas/DecisionsNoulQuestion"
                      },
                      {
                        "$ref": "#/components/schemas/DecisionsChoiceQuestion"
                      },
                      {
                        "$ref": "#/components/schemas/DecisionsScoreQuestion"
                      }
                    ]
                  },
                  "type": "object"
                },
                "session_id": {
                  "description": "A unique identifier for grouping related requests (e.g., a conversation or agent workflow). Used for observability grouping in Broadcast and private logging; never sent to the provider. If provided in both the request body and the x-session-id header, the body value takes precedence. Maximum of 256 characters.",
                  "example": "session-1234",
                  "maxLength": 256,
                  "type": "string"
                },
                "state": {
                  "anyOf": [
                    {
                      "type": "string"
                    },
                    {
                      "additionalProperties": {},
                      "type": "object"
                    },
                    {
                      "items": {},
                      "type": "array"
                    }
                  ],
                  "description": "The content to evaluate: a plain string, or a JSON object or array of related context."
                },
                "trace": {
                  "$ref": "#/components/schemas/TraceConfig"
                },
                "user": {
                  "maxLength": 256,
                  "type": "string"
                }
              },
              "required": [
                "model",
                "state",
                "questions"
              ],
              "type": "object"
            },
            "response": {
              "properties": {
                "answers": {
                  "additionalProperties": {
                    "description": "A Decisions answer using a boolean, choice, or score evaluation.",
                    "discriminator": {
                      "mapping": {
                        "choice": "#/components/schemas/DecisionsChoiceAnswer",
                        "noul": "#/components/schemas/DecisionsNoulAnswer",
                        "score": "#/components/schemas/DecisionsScoreAnswer"
                      },
                      "propertyName": "type"
                    },
                    "oneOf": [
                      {
                        "$ref": "#/components/schemas/DecisionsNoulAnswer"
                      },
                      {
                        "$ref": "#/components/schemas/DecisionsChoiceAnswer"
                      },
                      {
                        "$ref": "#/components/schemas/DecisionsScoreAnswer"
                      }
                    ]
                  },
                  "type": "object"
                },
                "id": {
                  "type": "string"
                },
                "model": {
                  "type": "string"
                },
                "provider": {
                  "type": "string"
                },
                "usage": {
                  "properties": {
                    "cost": {
                      "format": "double",
                      "type": "number"
                    },
                    "input_tokens": {
                      "type": "integer"
                    },
                    "output_tokens": {
                      "type": "integer"
                    }
                  },
                  "required": [
                    "input_tokens",
                    "output_tokens"
                  ],
                  "type": "object"
                }
              },
              "required": [
                "model",
                "answers",
                "usage"
              ],
              "type": "object"
            }
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Kadar asas token",
            "units": [
              {
                "amount": "0.000084000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000000084",
                "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"
              }
            ]
          },
          {
            "dimensions": {
              "max_context_tokens_inclusive": null,
              "min_context_tokens_exclusive": 0
            },
            "label": "Tahap panjang permintaan 1",
            "units": [
              {
                "amount": "0.000084000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000000084",
                "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": "{\n  \"model\": \"jaredpalmer/kev-4b\",\n  \"questions\": {\n    \"is_bug\": {\n      \"criteria\": {\n        \"false\": \"The customer is asking a question or requesting a feature.\",\n        \"true\": \"The customer describes broken or unexpected product behavior.\"\n      },\n      \"instructions\": \"Is the customer reporting a software defect?\",\n      \"type\": \"noul\"\n    },\n    \"team\": {\n      \"criteria\": {\n        \"account\": \"Login, permissions, or profile issues.\",\n        \"frontend\": \"Rendering, layout, or browser compatibility issues.\",\n        \"payments\": \"Checkout, billing, or payment processing issues.\"\n      },\n      \"instructions\": \"Which team should own this ticket?\",\n      \"type\": \"choice\"\n    },\n    \"urgency\": {\n      \"criteria\": [\n        \"Can wait for the next release\",\n        \"Should be fixed this week\",\n        \"Blocking revenue right now\"\n      ],\n      \"instructions\": \"How urgent is this ticket?\",\n      \"type\": \"score\"\n    }\n  },\n  \"state\": {\n    \"customer_tier\": \"enterprise\",\n    \"ticket\": \"My checkout page shows a blank screen after I click Pay. I have tried two browsers.\"\n  }\n}",
            "label": "Retained official request structure; documentary example",
            "language": "json"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_REQUEST_FILE:?Set your actual JSON request file}\"\nexport AILOOT_REQUEST_FILE\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads(Path(os.environ['AILOOT_REQUEST_FILE']).read_text(encoding='utf-8'))\nif not isinstance(p,dict): raise SystemExit('Request must be a JSON object')\np['model']='jaredpalmer/kev-4b'\nPath('request.json').write_text(json.dumps(p,ensure_ascii=False),encoding='utf-8')\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/systemone \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path('result.json').read_text()),ensure_ascii=False,indent=2))\nPY_RESULT\n",
            "label": "Use your actual request material and retain the complete result",
            "language": "bash",
            "material_policy": "Use real owner-supplied state/questions or query/documents. No invented file ID, document, image URL, job ID or returned result."
          }
        ],
        "family": "systemone",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "systemone",
        "http": "POST",
        "in": 0.084,
        "input": [
          "text"
        ],
        "label": "System One",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "native_endpoint": "systemone",
        "out": 0,
        "output": [
          "decisions"
        ],
        "path": "/v1/systemone",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "token",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0.000084000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000000084",
                "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"
              }
            ]
          },
          {
            "dimensions": {
              "max_context_tokens_inclusive": null,
              "min_context_tokens_exclusive": 0
            },
            "label": "Request-length tier 1",
            "units": [
              {
                "amount": "0.000084000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000000084",
                "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": "jaredpalmer/kev-4b",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [
          {
            "cache_read": null,
            "cache_read_multiplier": null,
            "cache_write": null,
            "cache_write_1h": null,
            "cache_write_multiplier": null,
            "created_at": "0001-01-01T00:00:00Z",
            "in": 0.084,
            "input_multiplier": null,
            "interval_boundary": "min_exclusive_max_inclusive",
            "max": null,
            "max_tokens": null,
            "min": 0,
            "min_tokens": 0,
            "null_rate_policy": "unknown or inherited; never zero",
            "out": 0,
            "output_multiplier": null,
            "per_request_price": null,
            "sort_order": 0,
            "tier_label": "",
            "updated_at": "0001-01-01T00:00:00Z"
          }
        ],
        "units": [
          {
            "amount": "0.000084000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.000000084",
            "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": "jaredpalmer/kev-4b",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "4eb5c13eca8b1222f16fefe8bb326a768d247cc234ec3bcbda4a5cd7a6524d53",
    "input_html_sha256": "fc20f9eaebbf1a9c0e3179d0675279f3628f3c7e871d20f6b5d9a5d42806d5b3",
    "private_audit_sha256": "7aabd2fde3d4de7f0b0aae33eb88abf2cf8e36cbc821af2290673e8af4d08769",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/ms/jaredpalmer-kev-4b/",
    "description": "Kev-4B menskor soalan berjenis tentang dokumen bahasa Inggeris yang diberikan dan mengembalikan kebarangkalian terkalibrasi bagi pilihan yang anda takrifkan. Gunakan soalan ya/tidak, pilihan dan skor bertertib untuk pengelasan, penghalaan, triage serta semakan yang memerlukan keputusan berstruktur, bukannya prosa terjana.",
    "locale": "ms",
    "md_url": "https://ailoot.ai/models/ms/jaredpalmer-kev-4b/index.md",
    "title": "Jared Palmer: Kev 4B — Ailoot",
    "url": "https://ailoot.ai/models/ms/jaredpalmer-kev-4b/"
  },
  "rawModel": {
    "about": "Kev-4B ialah model keputusan kompak untuk menjawab soalan berjenis tentang keadaan yang diberikan. Keadaan ialah dokumen atau rekod yang dinilai, dan setiap soalan mentakrifkan pilihan yang boleh diskor oleh model. Hasilnya ialah taburan kebarangkalian dan rekod keputusan dengan jenis yang ditetapkan, menjadikannya berguna untuk pengelasan dokumen, penghalaan, triage, pilihan pengekstrakan dan semakan berdasarkan kriteria yang dinyatakan.\n\nModel menggabungkan seni bina asas Qwen3.5-4B-Base yang dibekukan dengan penyesuai LoRA dan kepala penunjuk. Seni bina asas mempunyai 32 lapisan, terdiri daripada 24 lapisan Gated DeltaNet dan lapan lapisan perhatian penuh. Penyesuai menyasarkan unjuran perhatian, MLP dan DeltaNet; kepala penunjuk menskor pilihan yang diberikan dan menukarkan skor itu kepada kebarangkalian. Ini ialah aliran kerja keputusan prefill sahaja, dengan pilihan membentuk ruang jawapan.\n\nTiga jenis soalan boleh hadir dalam permintaan yang sama. Soalan choice menerima 1–255 pilihan bernama, dengan penerangan pilihan jika diperlukan, dan mengembalikan pilihan paling berkemungkinan, nilai confidence berasingan dan kebarangkalian bagi pilihan. Soalan ya/tidak, yang dinamakan noul dalam format pembuat, mengembalikan kebarangkalian ya. Takrifkan makna ya dalam soalan, bukannya menganggap nombor tinggi sentiasa bermakna hasil positif untuk aplikasi.\n\nSoalan skor bertertib menerima 1–255 tahap dan mengembalikan kebarangkalian tahap serta indeks jangkaannya. Indeks tahap bermula pada sifar. Format hasil pembuat turut membawa petunjuk tahap dan nilai confidence berasingan. Indeks jangkaan boleh berupa pecahan: ia merumuskan taburan merentas tahap bertertib anda, bukannya memilih label teks baharu. Simpan urutan dan petunjuk tahap bersama hasil supaya penarafan dapat ditafsirkan secara konsisten.\n\nSoalan berkongsi keadaan yang sama tetapi dinilai secara bebas. Satu soalan tidak dapat membaca jawapan soalan lain, dan keadaan dikira sekali lalu digunakan semula. Jika keputusan kemudian bergantung pada hasil keputusan terdahulu, nyatakan kebergantungan itu dengan jelas dalam keadaan berikutnya, bukannya mengharapkan soalan dalam satu permintaan membentuk rantaian. Ini menjadikan aliran kerja keadaan bersama sesuai untuk beberapa semakan bebas pada dokumen yang sama.\n\nSediakan keadaan dengan bukti yang benar-benar diperlukan soalan. Ia boleh berupa teks biasa atau objek atau tatasusunan JSON yang dipaparkan sebagai teks berlabel. Pastikan nama medan, unit, syarat dasar dan petikan sumber berkaitan jelas. Tulis arahan khusus untuk setiap soalan dan berikan makna kepada pilihannya yang boleh dibezakan berdasarkan rekod. Untuk tugas penghalaan sokongan asal, keadaan boleh mengandungi permintaan dan konteksnya, manakala pilihan mentakrifkan kategori penghantaran, akses dan sokongan produk dengan penerangan pendek.\n\nSoalan kedua boleh menilai kesegeraan, dan soalan bertertib boleh menilai berapa banyak tindakan susulan yang diperlukan permintaan. Soalan-soalan ini menjawab perkara operasi yang berbeza, maka takrifkan setiap satunya secara berasingan. Sertakan pilihan semakan atau bukti tidak mencukupi yang sesuai apabila tugas pilihan memerlukannya, dan simpan taburan penuh apabila beberapa kategori munasabah. Aplikasi memutuskan cara menghala atau menyemak hasil; model membekalkan rekod berskor.\n\nKev-4B ditujukan untuk keputusan berjenis terhadap dokumen beberapa ribu token. Profil penyajian pembuat menerima keadaan sehingga 65,536 token dan memperuntukkan ruang tambahan bagi setiap soalan, manakala panjang konteks yang disahkan untuk checkpoint ini ialah 8192 token. Ini sempadan yang berbeza: penerimaan keadaan lebih panjang tidak membuktikan keputusan yang sama tahap kebolehpercayaannya pada setiap panjang. Pastikan petikan penentu kompak dan kekalkan labelnya ketika menyediakan rekod panjang untuk pengelasan.\n\nProfil yang dikeluarkan menggunakan bahasa Inggeris. Tugas bergunanya bergantung pada bukti dalam keadaan yang diberikan dan pilihan yang ditakrifkan, bukannya sembang terbuka, peringkasan atau jawapan berasaskan pengetahuan luas. Aritmetik tarikh pada ketepatan hari ialah batasan khusus: pembuat menyediakan prapemproses fakta tarikh berasingan yang membekalkan selang masa terkira. Untuk semakan tarikh akhir, sertakan tarikh berkaitan dan selang hari yang telah dikira dalam keadaan, bersama peraturan yang menggunakannya.\n\nCheckpoint dibekalkan dengan kalibrasi kebarangkalian yang telah dipadankan, tetapi confidence boleh berubah mengikut domain dokumen dan reka bentuk soalan. Pembuat juga mendokumenkan penalaan halus checkpoint terbuka pada label khusus tugas serta pemadanan kalibrasi kebarangkaliannya kepada beban kerja itu; ini aliran kerja penyesuaian berasingan daripada penskoran keadaan yang diberikan. Pilih ambang keputusan menggunakan contoh berlabel daripada beban kerja sebenar dan pastikan kes tidak pasti kekal kelihatan untuk semakan. Pembuat mengecualikan keputusan penting tentang manusia yang diautomatikkan sepenuhnya tanpa semakan manusia. Urutan pilihan juga boleh mempengaruhi jawapan, maka kekalkan urutan stabil apabila membandingkan hasil. Nilai label terpilih, medan confidence berasingan dan taburan kebarangkalian mengikut peranan masing-masing dalam aliran kerja anda.\n\nKeluaran Kev-4B semasa yang diterangkan pembuat tergolong dalam Kev 1.0 dan menggunakan asas Qwen3.5. Keluaran terdahulu berasaskan Qwen3 dan keluaran yang hanya meliputi peringkat dokumen kekal sebagai versi berbeza. Simpan edisi terpilih dan takrif soalan bersama output ketika membangunkan aliran kerja khusus tugas, bukannya mencampurkan hasil daripada profil berbeza.\n\nArtifak akhir yang berguna ialah set rekod keputusan bernama bersama soalan asal, takrif pilihan, taburan dan sebarang petunjuk tahap bertertib. Untuk semakan kualiti jawapan, keadaan perlu merangkumi jawapan cadangan, bukti dan kriteria yang diuji. Untuk triage dasar, ia perlu merangkumi peraturan terpakai dan fakta berkaitan. Simpan input itu di sisi hasil supaya semakan dapat menentukan mengapa keputusan sesuai atau mengenal pasti fakta yang belum tersedia dan perlu diberikan.",
    "alias_of": null,
    "aliases": [],
    "author": "Jared Palmer",
    "available": null,
    "canonical_model": "jaredpalmer/kev-4b",
    "capabilities": {
      "context_length": 8192,
      "manufacturer_input": [
        "text"
      ],
      "manufacturer_output": [
        "decisions"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.000084000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.000000084",
            "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",
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          },
          {
            "amount": "0",
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            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
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            "native_amount_usd_per_unit": "0",
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            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          }
        ],
        "summary": "Maklumat lengkap tentang harga konfigurasi terdapat dalam butiran."
      }
    ],
    "ctx": null,
    "entity_type": "model",
    "formats": [
      "systemone"
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    "id": "jaredpalmer/kev-4b",
    "input": [
      "text"
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    "kind": "decision",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Every supplied question-ID answer with its exact type, noul/choice/score value, confidence, probabilities and legend is retained. Entire original JSON is stored and returned only after settlement.",
            "errors": [
              {
                "code": null,
                "condition": "Medan wajib, bentuk perwakilan atau nilai tidak sah",
                "http_status": 400,
                "recovery": "Betulkan medan permintaan yang dinyatakan.",
                "type": "invalid_request_error"
              }
            ],
            "hints": [],
            "ignored_fields": [],
            "lifecycle": {
              "cancel": null,
              "idempotency_header": null,
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              "mode": "synchronous",
              "streaming": false,
              "unknown": "Simpan operasi asal dan balasan penuh/separa; jangan ulang POST."
            },
            "material_combinations": [
              {
                "mode": "noul",
                "optional": [
                  "criteria true/false descriptions"
                ],
                "required": [
                  "state",
                  "questions.<id>.type=noul",
                  "questions.<id>.instructions"
                ]
              },
              {
                "mode": "choice",
                "required": [
                  "state",
                  "questions.<id>.type=choice",
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                ]
              },
              {
                "mode": "score",
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                  "state",
                  "questions.<id>.type=score",
                  "questions.<id>.instructions",
                  "criteria array with minItems1"
                ]
              }
            ],
            "operation_modes": [
              "noul",
              "choice",
              "score"
            ],
            "outputs": {
              "all_results": "Setiap jawapan bagi ID soalan yang diberikan dikekalkan berserta jenis tepatnya, nilai noul/choice/score, keyakinan, kebarangkalian dan petunjuk. Keseluruhan JSON asal disimpan dan hanya dikembalikan selepas penyelesaian caj.",
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                  "description": null,
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                {
                  "description": null,
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                {
                  "description": null,
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                {
                  "description": null,
                  "name": "answers.<id>.score",
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                {
                  "description": null,
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                {
                  "description": null,
                  "name": "answers.<id>.probabilities",
                  "type": "object"
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                {
                  "description": null,
                  "name": "answers.<id>.legend",
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                  "description": null,
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                  "description": null,
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                  "description": null,
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              ],
              "format": "json",
              "schema": {
                "properties": {
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                    "additionalProperties": {
                      "description": "A Decisions answer using a boolean, choice, or score evaluation.",
                      "discriminator": {
                        "mapping": {
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                          "noul": "#/components/schemas/DecisionsNoulAnswer",
                          "score": "#/components/schemas/DecisionsScoreAnswer"
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                        "propertyName": "type"
                      },
                      "oneOf": [
                        {
                          "$ref": "#/components/schemas/DecisionsNoulAnswer"
                        },
                        {
                          "$ref": "#/components/schemas/DecisionsChoiceAnswer"
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                          "$ref": "#/components/schemas/DecisionsScoreAnswer"
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                    },
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                    "properties": {
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                        "format": "double",
                        "type": "number"
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                      "input_tokens": {
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                      "output_tokens": {
                        "type": "integer"
                      }
                    },
                    "required": [
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                      "output_tokens"
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                    "type": "object"
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                },
                "required": [
                  "model",
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                "type": "object"
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            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
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                "enum_known": true,
                "name": "model",
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                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
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                "name": "provider",
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                "type": "schema"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "questions",
                "required": true,
                "type": "object"
              },
              {
                "availability": "source_interface",
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                "default_known": false,
                "description": "A unique identifier for grouping related requests (e.g., a conversation or agent workflow). Used for observability grouping in Broadcast and private logging; never sent to the provider. If provided in both the request body and the x-session-id header, the body value takes precedence. Maximum of 256 characters.",
                "enum": null,
                "enum_known": false,
                "maxLength": 256,
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                "type": "string"
              },
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                "availability": "source_interface",
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                "type": "schema"
              },
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                "enum_known": false,
                "name": "trace",
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                "availability": "source_interface",
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                "enum_known": false,
                "maxLength": 256,
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                "type": "string"
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                "availability": "source_interface",
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                "default_known": false,
                "enum": [
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                "enum_known": true,
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                "availability": "source_interface",
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                "name": "questions.<id>.instructions",
                "required": true,
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                "availability": "source_interface",
                "conditions": "choice/score: wajib; noul: pilihan. Kriteria choice ialah objek; score ialah tatasusunan dengan minItems1.",
                "default": null,
                "default_known": false,
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                "enum_known": false,
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                "type": "object|array"
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                "enum": null,
                "enum_known": false,
                "name": "questions.<id>.criteria.true",
                "required": true,
                "type": "string|object|array",
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              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "questions.<id>.criteria.false",
                "required": true,
                "type": "string|object|array",
                "when": "Objek kriteria noul dibekalkan"
              }
            ],
            "unsupported": [
              "stream=true"
            ]
          },
          "hints": [
            "Hantar ID model yang tepat dan simpan respons natif yang lengkap."
          ],
          "input": {
            "content_type": "application/json",
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            "multimodal_input_binding": null,
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          },
          "lifecycle": {
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            "job_retrieve": null,
            "mode": "synchronous",
            "streaming": false,
            "unknown": "Preserve original operation and full/partial reply; do not replay POST."
          },
          "manufacturer_capability": {
            "context_length": 8192,
            "manufacturer_input": [
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            ],
            "manufacturer_output": [
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          },
          "method": {
            "http": "POST",
            "path": "/v1/systemone"
          },
          "method_aliases": [],
          "operation_modes": [
            "noul",
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          "output": {
            "all_results": "Every supplied question-ID answer with its exact type, noul/choice/score value, confidence, probabilities and legend is retained. Entire original JSON is stored and returned only after settlement.",
            "family": "decisions",
            "fields": [
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                "description": null,
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                "description": null,
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            ],
            "format": "json",
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                    "oneOf": [
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                    "oneOf": [
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        "declared_pricing_profiles": [
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                "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"
              }
            ]
          },
          {
            "dimensions": {
              "max_context_tokens_inclusive": null,
              "min_context_tokens_exclusive": 0
            },
            "label": "Tahap panjang permintaan 1",
            "units": [
              {
                "amount": "0.000084000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000000084",
                "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": "{\n  \"model\": \"jaredpalmer/kev-4b\",\n  \"questions\": {\n    \"is_bug\": {\n      \"criteria\": {\n        \"false\": \"The customer is asking a question or requesting a feature.\",\n        \"true\": \"The customer describes broken or unexpected product behavior.\"\n      },\n      \"instructions\": \"Is the customer reporting a software defect?\",\n      \"type\": \"noul\"\n    },\n    \"team\": {\n      \"criteria\": {\n        \"account\": \"Login, permissions, or profile issues.\",\n        \"frontend\": \"Rendering, layout, or browser compatibility issues.\",\n        \"payments\": \"Checkout, billing, or payment processing issues.\"\n      },\n      \"instructions\": \"Which team should own this ticket?\",\n      \"type\": \"choice\"\n    },\n    \"urgency\": {\n      \"criteria\": [\n        \"Can wait for the next release\",\n        \"Should be fixed this week\",\n        \"Blocking revenue right now\"\n      ],\n      \"instructions\": \"How urgent is this ticket?\",\n      \"type\": \"score\"\n    }\n  },\n  \"state\": {\n    \"customer_tier\": \"enterprise\",\n    \"ticket\": \"My checkout page shows a blank screen after I click Pay. I have tried two browsers.\"\n  }\n}",
            "label": "Retained official request structure; documentary example",
            "language": "json"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_REQUEST_FILE:?Set your actual JSON request file}\"\nexport AILOOT_REQUEST_FILE\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads(Path(os.environ['AILOOT_REQUEST_FILE']).read_text(encoding='utf-8'))\nif not isinstance(p,dict): raise SystemExit('Request must be a JSON object')\np['model']='jaredpalmer/kev-4b'\nPath('request.json').write_text(json.dumps(p,ensure_ascii=False),encoding='utf-8')\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/systemone \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path('result.json').read_text()),ensure_ascii=False,indent=2))\nPY_RESULT\n",
            "label": "Use your actual request material and retain the complete result",
            "language": "bash",
            "material_policy": "Use real owner-supplied state/questions or query/documents. No invented file ID, document, image URL, job ID or returned result."
          }
        ],
        "family": "systemone",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "systemone",
        "http": "POST",
        "in": 0.084,
        "input": [
          "text"
        ],
        "label": "System One",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "native_endpoint": "systemone",
        "out": 0,
        "output": [
          "decisions"
        ],
        "path": "/v1/systemone",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "token",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0.000084000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000000084",
                "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"
              }
            ]
          },
          {
            "dimensions": {
              "max_context_tokens_inclusive": null,
              "min_context_tokens_exclusive": 0
            },
            "label": "Request-length tier 1",
            "units": [
              {
                "amount": "0.000084000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.000000084",
                "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": "jaredpalmer/kev-4b",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [
          {
            "cache_read": null,
            "cache_read_multiplier": null,
            "cache_write": null,
            "cache_write_1h": null,
            "cache_write_multiplier": null,
            "created_at": "0001-01-01T00:00:00Z",
            "in": 0.084,
            "input_multiplier": null,
            "interval_boundary": "min_exclusive_max_inclusive",
            "max": null,
            "max_tokens": null,
            "min": 0,
            "min_tokens": 0,
            "null_rate_policy": "unknown or inherited; never zero",
            "out": 0,
            "output_multiplier": null,
            "per_request_price": null,
            "sort_order": 0,
            "tier_label": "",
            "updated_at": "0001-01-01T00:00:00Z"
          }
        ],
        "units": [
          {
            "amount": "0.000084000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.000000084",
            "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": "jaredpalmer/kev-4b",
        "request_model_id": "jaredpalmer/kev-4b",
        "route_label": "Ultra"
      }
    ],
    "name": "Jared Palmer: Kev 4B",
    "price": {
      "in": 0.084,
      "in_label": null,
      "out": 0,
      "out_label": null,
      "scope_label": "Token rates",
      "sort_in": 0.084,
      "sort_out": 0,
      "varies": true
    },
    "pricing_profiles": [
      {
        "dimensions": {
          "regime": "base"
        },
        "label": "System One · Base token rates",
        "units": [
          {
            "amount": "0.000084000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.000000084",
            "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"
          }
        ]
      },
      {
        "dimensions": {
          "max_context_tokens_inclusive": null,
          "min_context_tokens_exclusive": 0
        },
        "label": "System One · Request-length tier 1",
        "units": [
          {
            "amount": "0.000084000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.000000084",
            "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"
          }
        ]
      }
    ],
    "public_id": "jaredpalmer/kev-4b",
    "short": "Kev-4B menskor soalan berjenis tentang dokumen bahasa Inggeris yang diberikan dan mengembalikan kebarangkalian terkalibrasi bagi pilihan yang anda takrifkan. Gunakan soalan ya/tidak, pilihan dan skor bertertib untuk pengelasan, penghalaan, triage serta semakan yang memerlukan keputusan berstruktur, bukannya prosa terjana."
  },
  "renderer_schema": {
    "method_order": "Original DTO methods order; every exact route/format/path/caller survives.",
    "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers."
  },
  "representation": "exact-public-dto-and-native-renderer-html",
  "representationNotes": {
    "current_reference": {
      "about_json_pointer": "/aboutHtml",
      "methods": [
        {
          "contract_json_pointer": "/methods/0/rawMethod/contract",
          "html_json_pointer": "/methods/0/html",
          "method_ordinal": 0
        }
      ],
      "role": "current-semantic-reference"
    },
    "raw_input": {
      "examples_role": "historical-input-not-current-ready-examples",
      "json_pointers": [
        "/rawModel",
        "/methods/0/rawMethod"
      ],
      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
  },
  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "Kev-4B menskor soalan berjenis tentang dokumen bahasa Inggeris yang diberikan dan mengembalikan kebarangkalian terkalibrasi bagi pilihan yang anda takrifkan. Gunakan soalan ya/tidak, pilihan dan skor bertertib untuk pengelasan, penghalaan, triage serta semakan yang memerlukan keputusan berstruktur, bukannya prosa terjana.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "707464d59206626d1cc8871a30c6396a037e720cf69a82829788411e0e1b943d",
    "renderer_sha256": "1dab5ba62521e9568c8b7c82005622cabbf330a075df7cce1f83274a04009460"
  },
  "sourceRevision": "eb1402503cd03b6a3bbb6da4364f228aa1dba95072501e89b22e6ec36658cef7"
}