{
  "aboutHtml": "<p>Decider V1.1 27B ialah checkpoint keputusan Perplexity yang dikemas kini. Ia menilai kandungan yang diberikan berdasarkan soalan yang ditakrifkan dan menghasilkan kebarangkalian bagi jawapan yang sah. Artifak natifnya mempunyai komponen pembacaan keputusan, bukannya kepala penjanaan bahasa merentas seluruh perbendaharaan kata. Hasil berguna ialah taburan keputusan terhad dan jawapan yang ditafsirkan daripadanya, bukan penjelasan terbuka atau respons sembang umum.</p><h4>Perubahan dalam edisi V1.1</h4><p>Perplexity mengenal pasti model ini sebagai kemas kini Decider V1 27B yang mengekalkan seni bina asas yang sama, dengan perubahan pada tetapan perhatian dan lebih banyak data latihan. Seni bina asasnya ialah Qwen3.8-27B. Edisi V1.1 perlu mengekalkan nama dan konfigurasinya sendiri, bukannya diterangkan sebagai salinan checkpoint terdahulu yang boleh saling ditukar ganti.</p><h4>Keadaan, soalan dan jawapan yang sah</h4><p>Contoh yang diterbitkan menyediakan baris yang mengandungi keadaan dan soalan pilihan dengan jenis yang ditetapkan. Soalan itu merangkumi arahan dan kriteria dengan kunci yang menjadi jawapan semantik serta penerangan yang mentakrifkan bila setiap satunya terpakai. Model meramalkan kebarangkalian, kemudian fungsi pembantu jawapan pengeluar mentafsir kebarangkalian tersebut untuk soalan itu. Contoh inferens boleh memproses senarai baris, dengan satu keputusan terikat pada bukti dan soalan setiap baris.</p><p>Untuk penghalaan permintaan, berikan mesej sebenar dan konteks berkaitan, kemudian takrifkan jabatan atau kategori yang tersedia. Contoh tugas boleh membezakan kegagalan integrasi, masalah akses dan permintaan maklumat produk. Jadikan setiap penerangan cukup tepat untuk memutuskan kes berhampiran sempadan, dan simpan takrif pilihan bersama hasilnya. Taburan kategori kemudian boleh menyokong keputusan penghalaan atau langkah semakan apabila alternatif masih hampir sama. Hasil yang dipilih model tidak dengan sendirinya melaksanakan tindakan aliran kerja.</p><h4>Bukti teks dan imej</h4><p>Pelaksanaan natif menerima imej bersama keadaan dan soalan, melalui input fail imej, imej dalam memori atau data imej terenkod. Untuk imej dokumen atau tangkapan skrin, berikan bukti visual dan ajukan soalan tertutup dengan pilihan yang menerangkan hasil berkaitan. Kenal pasti ciri kelihatan yang penting dan sediakan konteks teks yang diperlukan untuk mentafsirkannya. Contohnya, kelaskan sama ada item dalam gambar tergolong dalam salah satu kategori produk yang diberikan, bukannya meminta model keputusan menulis penerangan produk lengkap.</p><p>Pemproses mengekalkan nisbah aspek semasa mengubah saiz dan membulatkan panjang sisi imej kepada gandaan 32 piksel. Luas imej diproses yang didokumenkan bermula pada 65,536 piksel dan dihadkan oleh maksimum boleh konfigurasi; nilai lalainya ialah 4,194,304 piksel, atau 2048 kali 2048. Setiap tampalan 32 kali 32 menyumbang satu token visual, maka nilai lalai itu membenarkan sehingga 4,096 token visual bagi satu imej. Angka ini menerangkan penyediaan imej natif pengeluar, bukan kontrak muat naik aplikasi umum.</p><h4>Had input gabungan dan skop resolusi</h4><p>Langkah prepare yang didokumenkan menghendaki teks dan semua imej dalam satu keputusan muat dalam 8,192 token. Input terlalu besar ditolak dan bukannya dipotong secara senyap. Beberapa imej berkongsi peruntukan itu dengan keadaan dan soalan bertulis. Kurangkan teks sumber yang tidak berkaitan atau had saiz imej ketika menyediakan keputusan gabungan, sambil mengekalkan perincian yang menentukan jawapan.</p><p>Tetapan latihan dan penilaian yang dilaporkan mengehadkan imej kepada 512 kali 512, bersamaan 262,144 piksel dan sehingga 256 token visual. Had inferens boleh konfigurasi boleh mengekalkan lebih banyak perincian, tetapi kad model memberi amaran bahawa resolusi lebih tinggi berada di luar taburan latihan itu serta menggunakan lebih banyak memori dan masa pemprosesan. Oleh itu, tetapan imej lebih besar bukan jaminan keputusan lebih baik. Pastikan penyediaan input selaras dengan soalan dan periksa sama ada ciri visual yang diperlukan diwakili dengan jelas.</p><h4>Perhatian, pembacaan keputusan dan kalibrasi kebarangkalian</h4><p>Lapisan perhatian penuh checkpoint natif menggunakan mod perhatian bukan kausal yang disimpan, manakala lapisan perhatian linearnya mengekalkan tingkah laku sendiri. Pembuat menyatakan bahawa inferens kausal lalai tidak menghasilkan semula tetapan yang dinilai. Pelaksanaan ramalannya menggunakan suhu kalibrasi yang disimpan; jika logit digunakan secara langsung, suhu itu digunakan sekali dan kebarangkalian dinormalkan merentas calon sah semasa. Perincian ini khusus untuk profil keputusan tepat tersebut dan perlu dikekalkan ketika mentafsir output berangkanya.</p><p>Komponen pembacaan keputusan yang berasingan juga membezakan artifak ini daripada eksport generatif. Penukaran kepada antara muka penjanaan berasaskan perbendaharaan kata memerlukan pemetaan jelas dan mesti mengekalkan tingkah laku perhatian. Sediakan soalan tertutup untuk profil keputusan natif; gunakan model penjanaan yang sesuai apabila tugas memerlukan sembang, kod, penjelasan atau permintaan alat.</p><p>Artifak akhir yang berguna mengekalkan perkaitan antara keadaan, soalan, jawapan yang dibenarkan dan taburan hasil. Takrifkan soalan berdasarkan bukti yang benar-benar ada, semak kes kabur berdasarkan bukti itu dan gunakan contoh berlabel daripada tugas sasaran untuk menentukan cara output berangka patut mempengaruhi penghalaan atau pengelasan. Model membekalkan kebarangkalian keputusan; kriteria dan aplikasi di sekelilingnya menentukan bagaimana kebarangkalian itu menjadi tindakan berguna atau label yang direkodkan.</p>",
  "aboutText": "Decider V1.1 27B ialah checkpoint keputusan Perplexity yang dikemas kini. Ia menilai kandungan yang diberikan berdasarkan soalan yang ditakrifkan dan menghasilkan kebarangkalian bagi jawapan yang sah. Artifak natifnya mempunyai komponen pembacaan keputusan, bukannya kepala penjanaan bahasa merentas seluruh perbendaharaan kata. Hasil berguna ialah taburan keputusan terhad dan jawapan yang ditafsirkan daripadanya, bukan penjelasan terbuka atau respons sembang umum.\n\n### Perubahan dalam edisi V1.1\n\nPerplexity mengenal pasti model ini sebagai kemas kini Decider V1 27B yang mengekalkan seni bina asas yang sama, dengan perubahan pada tetapan perhatian dan lebih banyak data latihan. Seni bina asasnya ialah Qwen3.8-27B. Edisi V1.1 perlu mengekalkan nama dan konfigurasinya sendiri, bukannya diterangkan sebagai salinan checkpoint terdahulu yang boleh saling ditukar ganti.\n\n### Keadaan, soalan dan jawapan yang sah\n\nContoh yang diterbitkan menyediakan baris yang mengandungi keadaan dan soalan pilihan dengan jenis yang ditetapkan. Soalan itu merangkumi arahan dan kriteria dengan kunci yang menjadi jawapan semantik serta penerangan yang mentakrifkan bila setiap satunya terpakai. Model meramalkan kebarangkalian, kemudian fungsi pembantu jawapan pengeluar mentafsir kebarangkalian tersebut untuk soalan itu. Contoh inferens boleh memproses senarai baris, dengan satu keputusan terikat pada bukti dan soalan setiap baris.\n\nUntuk penghalaan permintaan, berikan mesej sebenar dan konteks berkaitan, kemudian takrifkan jabatan atau kategori yang tersedia. Contoh tugas boleh membezakan kegagalan integrasi, masalah akses dan permintaan maklumat produk. Jadikan setiap penerangan cukup tepat untuk memutuskan kes berhampiran sempadan, dan simpan takrif pilihan bersama hasilnya. Taburan kategori kemudian boleh menyokong keputusan penghalaan atau langkah semakan apabila alternatif masih hampir sama. Hasil yang dipilih model tidak dengan sendirinya melaksanakan tindakan aliran kerja.\n\n### Bukti teks dan imej\n\nPelaksanaan natif menerima imej bersama keadaan dan soalan, melalui input fail imej, imej dalam memori atau data imej terenkod. Untuk imej dokumen atau tangkapan skrin, berikan bukti visual dan ajukan soalan tertutup dengan pilihan yang menerangkan hasil berkaitan. Kenal pasti ciri kelihatan yang penting dan sediakan konteks teks yang diperlukan untuk mentafsirkannya. Contohnya, kelaskan sama ada item dalam gambar tergolong dalam salah satu kategori produk yang diberikan, bukannya meminta model keputusan menulis penerangan produk lengkap.\n\nPemproses mengekalkan nisbah aspek semasa mengubah saiz dan membulatkan panjang sisi imej kepada gandaan 32 piksel. Luas imej diproses yang didokumenkan bermula pada 65,536 piksel dan dihadkan oleh maksimum boleh konfigurasi; nilai lalainya ialah 4,194,304 piksel, atau 2048 kali 2048. Setiap tampalan 32 kali 32 menyumbang satu token visual, maka nilai lalai itu membenarkan sehingga 4,096 token visual bagi satu imej. Angka ini menerangkan penyediaan imej natif pengeluar, bukan kontrak muat naik aplikasi umum.\n\n### Had input gabungan dan skop resolusi\n\nLangkah prepare yang didokumenkan menghendaki teks dan semua imej dalam satu keputusan muat dalam 8,192 token. Input terlalu besar ditolak dan bukannya dipotong secara senyap. Beberapa imej berkongsi peruntukan itu dengan keadaan dan soalan bertulis. Kurangkan teks sumber yang tidak berkaitan atau had saiz imej ketika menyediakan keputusan gabungan, sambil mengekalkan perincian yang menentukan jawapan.\n\nTetapan latihan dan penilaian yang dilaporkan mengehadkan imej kepada 512 kali 512, bersamaan 262,144 piksel dan sehingga 256 token visual. Had inferens boleh konfigurasi boleh mengekalkan lebih banyak perincian, tetapi kad model memberi amaran bahawa resolusi lebih tinggi berada di luar taburan latihan itu serta menggunakan lebih banyak memori dan masa pemprosesan. Oleh itu, tetapan imej lebih besar bukan jaminan keputusan lebih baik. Pastikan penyediaan input selaras dengan soalan dan periksa sama ada ciri visual yang diperlukan diwakili dengan jelas.\n\n### Perhatian, pembacaan keputusan dan kalibrasi kebarangkalian\n\nLapisan perhatian penuh checkpoint natif menggunakan mod perhatian bukan kausal yang disimpan, manakala lapisan perhatian linearnya mengekalkan tingkah laku sendiri. Pembuat menyatakan bahawa inferens kausal lalai tidak menghasilkan semula tetapan yang dinilai. Pelaksanaan ramalannya menggunakan suhu kalibrasi yang disimpan; jika logit digunakan secara langsung, suhu itu digunakan sekali dan kebarangkalian dinormalkan merentas calon sah semasa. Perincian ini khusus untuk profil keputusan tepat tersebut dan perlu dikekalkan ketika mentafsir output berangkanya.\n\nKomponen pembacaan keputusan yang berasingan juga membezakan artifak ini daripada eksport generatif. Penukaran kepada antara muka penjanaan berasaskan perbendaharaan kata memerlukan pemetaan jelas dan mesti mengekalkan tingkah laku perhatian. Sediakan soalan tertutup untuk profil keputusan natif; gunakan model penjanaan yang sesuai apabila tugas memerlukan sembang, kod, penjelasan atau permintaan alat.\n\nArtifak akhir yang berguna mengekalkan perkaitan antara keadaan, soalan, jawapan yang dibenarkan dan taburan hasil. Takrifkan soalan berdasarkan bukti yang benar-benar ada, semak kes kabur berdasarkan bukti itu dan gunakan contoh berlabel daripada tugas sasaran untuk menentukan cara output berangka patut mempengaruhi penghalaan atau pengelasan. Model membekalkan kebarangkalian keputusan; kriteria dan aplikasi di sekelilingnya menentukan bagaimana kebarangkalian itu menjadi tindakan berguna atau label yang direkodkan.",
  "editorialOverlay": {
    "copy_fields": null,
    "copy_sha256": null,
    "copy_source": null,
    "html_sha256": "0f566f7ec017c3d2c3499ee2ecc2a070e9cd6ba6b3ff8231375ecd215e25bec5",
    "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06",
    "raw_model_unchanged": true,
    "schema": "ailoot-native-model-editorial-v1"
  },
  "locale": "ms",
  "methods": [
    {
      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">Perplexity: Decider V1.1 27B</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Tutup\">×</button></div><div class=\"idline\"><span>Perplexity /</span><code>perplexity/pplx-decider-v1.1-27b</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|perplexity%2Fpplx-decider-v1.1-27b\">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\">Decider V1.1 27B Perplexity menilai keadaan dan soalan yang diberikan serta mengembalikan kebarangkalian merentas jawapan yang dibenarkan. Checkpoint keputusan natifnya menyokong teks dan imej, dengan komponen pembacaan keputusan khusus serta had penyediaan input yang didokumenkan, bukannya kontrak penjanaan teks bentuk bebas.</p><dl class=\"card-io\" data-card-io><div><dt>Input yang diterima</dt><dd>Teks · Imej</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>Decider V1.1 27B ialah checkpoint keputusan Perplexity yang dikemas kini. Ia menilai kandungan yang diberikan berdasarkan soalan yang ditakrifkan dan menghasilkan kebarangkalian bagi jawapan yang sah. Artifak natifnya mempunyai komponen pembacaan keputusan, bukannya kepala penjanaan bahasa merentas seluruh perbendaharaan kata. Hasil berguna ialah taburan keputusan terhad dan jawapan yang ditafsirkan daripadanya, bukan penjelasan terbuka atau respons sembang umum.</p><h4>Perubahan dalam edisi V1.1</h4><p>Perplexity mengenal pasti model ini sebagai kemas kini Decider V1 27B yang mengekalkan seni bina asas yang sama, dengan perubahan pada tetapan perhatian dan lebih banyak data latihan. Seni bina asasnya ialah Qwen3.8-27B. Edisi V1.1 perlu mengekalkan nama dan konfigurasinya sendiri, bukannya diterangkan sebagai salinan checkpoint terdahulu yang boleh saling ditukar ganti.</p><h4>Keadaan, soalan dan jawapan yang sah</h4><p>Contoh yang diterbitkan menyediakan baris yang mengandungi keadaan dan soalan pilihan dengan jenis yang ditetapkan. Soalan itu merangkumi arahan dan kriteria dengan kunci yang menjadi jawapan semantik serta penerangan yang mentakrifkan bila setiap satunya terpakai. Model meramalkan kebarangkalian, kemudian fungsi pembantu jawapan pengeluar mentafsir kebarangkalian tersebut untuk soalan itu. Contoh inferens boleh memproses senarai baris, dengan satu keputusan terikat pada bukti dan soalan setiap baris.</p><p>Untuk penghalaan permintaan, berikan mesej sebenar dan konteks berkaitan, kemudian takrifkan jabatan atau kategori yang tersedia. Contoh tugas boleh membezakan kegagalan integrasi, masalah akses dan permintaan maklumat produk. Jadikan setiap penerangan cukup tepat untuk memutuskan kes berhampiran sempadan, dan simpan takrif pilihan bersama hasilnya. Taburan kategori kemudian boleh menyokong keputusan penghalaan atau langkah semakan apabila alternatif masih hampir sama. Hasil yang dipilih model tidak dengan sendirinya melaksanakan tindakan aliran kerja.</p><h4>Bukti teks dan imej</h4><p>Pelaksanaan natif menerima imej bersama keadaan dan soalan, melalui input fail imej, imej dalam memori atau data imej terenkod. Untuk imej dokumen atau tangkapan skrin, berikan bukti visual dan ajukan soalan tertutup dengan pilihan yang menerangkan hasil berkaitan. Kenal pasti ciri kelihatan yang penting dan sediakan konteks teks yang diperlukan untuk mentafsirkannya. Contohnya, kelaskan sama ada item dalam gambar tergolong dalam salah satu kategori produk yang diberikan, bukannya meminta model keputusan menulis penerangan produk lengkap.</p><p>Pemproses mengekalkan nisbah aspek semasa mengubah saiz dan membulatkan panjang sisi imej kepada gandaan 32 piksel. Luas imej diproses yang didokumenkan bermula pada 65,536 piksel dan dihadkan oleh maksimum boleh konfigurasi; nilai lalainya ialah 4,194,304 piksel, atau 2048 kali 2048. Setiap tampalan 32 kali 32 menyumbang satu token visual, maka nilai lalai itu membenarkan sehingga 4,096 token visual bagi satu imej. Angka ini menerangkan penyediaan imej natif pengeluar, bukan kontrak muat naik aplikasi umum.</p><h4>Had input gabungan dan skop resolusi</h4><p>Langkah prepare yang didokumenkan menghendaki teks dan semua imej dalam satu keputusan muat dalam 8,192 token. Input terlalu besar ditolak dan bukannya dipotong secara senyap. Beberapa imej berkongsi peruntukan itu dengan keadaan dan soalan bertulis. Kurangkan teks sumber yang tidak berkaitan atau had saiz imej ketika menyediakan keputusan gabungan, sambil mengekalkan perincian yang menentukan jawapan.</p><p>Tetapan latihan dan penilaian yang dilaporkan mengehadkan imej kepada 512 kali 512, bersamaan 262,144 piksel dan sehingga 256 token visual. Had inferens boleh konfigurasi boleh mengekalkan lebih banyak perincian, tetapi kad model memberi amaran bahawa resolusi lebih tinggi berada di luar taburan latihan itu serta menggunakan lebih banyak memori dan masa pemprosesan. Oleh itu, tetapan imej lebih besar bukan jaminan keputusan lebih baik. Pastikan penyediaan input selaras dengan soalan dan periksa sama ada ciri visual yang diperlukan diwakili dengan jelas.</p><h4>Perhatian, pembacaan keputusan dan kalibrasi kebarangkalian</h4><p>Lapisan perhatian penuh checkpoint natif menggunakan mod perhatian bukan kausal yang disimpan, manakala lapisan perhatian linearnya mengekalkan tingkah laku sendiri. Pembuat menyatakan bahawa inferens kausal lalai tidak menghasilkan semula tetapan yang dinilai. Pelaksanaan ramalannya menggunakan suhu kalibrasi yang disimpan; jika logit digunakan secara langsung, suhu itu digunakan sekali dan kebarangkalian dinormalkan merentas calon sah semasa. Perincian ini khusus untuk profil keputusan tepat tersebut dan perlu dikekalkan ketika mentafsir output berangkanya.</p><p>Komponen pembacaan keputusan yang berasingan juga membezakan artifak ini daripada eksport generatif. Penukaran kepada antara muka penjanaan berasaskan perbendaharaan kata memerlukan pemetaan jelas dan mesti mengekalkan tingkah laku perhatian. Sediakan soalan tertutup untuk profil keputusan natif; gunakan model penjanaan yang sesuai apabila tugas memerlukan sembang, kod, penjelasan atau permintaan alat.</p><p>Artifak akhir yang berguna mengekalkan perkaitan antara keadaan, soalan, jawapan yang dibenarkan dan taburan hasil. Takrifkan soalan berdasarkan bukti yang benar-benar ada, semak kes kabur berdasarkan bukti itu dan gunakan contoh berlabel daripada tugas sasaran untuk menentukan cara output berangka patut mempengaruhi penghalaan atau pengelasan. Model membekalkan kebarangkalian keputusan; kriteria dan aplikasi di sekelilingnya menentukan bagaimana kebarangkalian itu menjadi tindakan berguna atau label yang direkodkan.</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>, <code>image</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>perplexity/pplx-decider-v1.1-27b</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, image</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>Gunakan hanya bentuk perwakilan keadaan/dokumen tepat yang diisytiharkan. Keupayaan imej pengeluar sahaja tidak membuktikan bentuk input imej yang diterima bagi model tertentu.</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>$0.00004</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>$0.00004</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-2191-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2191-panel-0\" aria-selected=\"true\" tabindex=\"0\">Struktur permintaan rasmi yang dikekalkan; contoh dokumentasi</button><button class=\"cg-tab\" id=\"model-code-2191-tab-1\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2191-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-2191-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2191-tab-0\"><pre data-lang=\"json\"><code>{\n  &quot;model&quot;: &quot;perplexity/pplx-decider-v1.1-27b&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-2191-panel-1\" role=\"tabpanel\" aria-labelledby=\"model-code-2191-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;perplexity/pplx-decider-v1.1-27b&#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=perplexity%2Fpplx-decider-v1.1-27b&amp;route=Ultra&amp;caller=perplexity%2Fpplx-decider-v1.1-27b&amp;fmt=systemone\"><code>perplexity/pplx-decider-v1.1-27b</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=perplexity%2Fpplx-decider-v1.1-27b&amp;route=Ultra&amp;caller=perplexity%2Fpplx-decider-v1.1-27b&amp;fmt=systemone\"><code>perplexity/pplx-decider-v1.1-27b</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "perplexity/pplx-decider-v1.1-27b",
        "fmt": "systemone",
        "http": "POST",
        "path": "/v1/systemone",
        "request_model_id": "perplexity/pplx-decider-v1.1-27b",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|systemone|/v1/systemone|perplexity%2Fpplx-decider-v1.1-27b",
      "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": [
                  "perplexity/pplx-decider-v1.1-27b"
                ],
                "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",
              "image"
            ],
            "multimodal_input_binding": "Gunakan hanya bentuk perwakilan keadaan/dokumen tepat yang diisytiharkan. Keupayaan imej pengeluar sahaja tidak membuktikan bentuk input imej yang diterima bagi model tertentu.",
            "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": 262144,
            "manufacturer_input": [
              "text",
              "image"
            ],
            "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"
                      },
                      {
                        "$ref": "#/components/schemas/DecisionsScoreAnswer"
                      }
                    ]
                  },
                  "type": "object"
                },
                "id": {
                  "type": "string"
                },
                "model": {
                  "type": "string"
                },
                "provider": {
                  "type": "string"
                },
                "usage": {
                  "properties": {
                    "cost": {
                      "format": "double",
                      "type": "number"
                    },
                    "input_tokens": {
                      "type": "integer"
                    },
                    "output_tokens": {
                      "type": "integer"
                    }
                  },
                  "required": [
                    "input_tokens",
                    "output_tokens"
                  ],
                  "type": "object"
                }
              },
              "required": [
                "model",
                "answers",
                "usage"
              ],
              "type": "object"
            }
          },
          "schema": {
            "request": {
              "properties": {
                "model": {
                  "enum": [
                    "perplexity/pplx-decider-v1.1-27b"
                  ],
                  "type": "string"
                },
                "provider": {
                  "allOf": [
                    {
                      "$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": "0.00004000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000004",
                "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": "0.00004000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000004",
                "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\": \"perplexity/pplx-decider-v1.1-27b\",\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']='perplexity/pplx-decider-v1.1-27b'\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": 0.04,
        "input": [
          "text",
          "image"
        ],
        "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": "0.00004000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000004",
                "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": "0.00004000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000004",
                "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": "perplexity/pplx-decider-v1.1-27b",
        "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": 0.04,
            "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": "0.00004000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.00000004",
            "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": "perplexity/pplx-decider-v1.1-27b",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "b628a0bc72db51ccc519ff9b1e62008ef02540e8295258ecfcd7e8a0bc699853",
    "input_html_sha256": "67b104bbf44d369cf90ca2e2ca7bfc5484dc3c81e628ae6b1123649376ddb4e4",
    "private_audit_sha256": "2ced962c02a80199387ddb6486daa486428cc4df746bcd6c1ead3e1607711b40",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/ms/perplexity-pplx-decider-v1-1-27b/",
    "description": "Decider V1.1 27B Perplexity menilai keadaan dan soalan yang diberikan serta mengembalikan kebarangkalian merentas jawapan yang dibenarkan. Checkpoint keputusan natifnya menyokong teks dan imej, dengan komponen pembacaan keputusan khusus serta had penyediaan input yang didokumenkan, bukannya kontrak penjanaan teks bentuk bebas.",
    "locale": "ms",
    "md_url": "https://ailoot.ai/models/ms/perplexity-pplx-decider-v1-1-27b/index.md",
    "title": "Perplexity: Decider V1.1 27B — Ailoot",
    "url": "https://ailoot.ai/models/ms/perplexity-pplx-decider-v1-1-27b/"
  },
  "rawModel": {
    "about": "Decider V1.1 27B ialah checkpoint keputusan Perplexity yang dikemas kini. Ia menilai kandungan yang diberikan berdasarkan soalan yang ditakrifkan dan menghasilkan kebarangkalian bagi jawapan yang sah. Artifak natifnya mempunyai komponen pembacaan keputusan, bukannya kepala penjanaan bahasa merentas seluruh perbendaharaan kata. Hasil berguna ialah taburan keputusan terhad dan jawapan yang ditafsirkan daripadanya, bukan penjelasan terbuka atau respons sembang umum.\n\n### Perubahan dalam edisi V1.1\n\nPerplexity mengenal pasti model ini sebagai kemas kini Decider V1 27B yang mengekalkan seni bina asas yang sama, dengan perubahan pada tetapan perhatian dan lebih banyak data latihan. Seni bina asasnya ialah Qwen3.8-27B. Edisi V1.1 perlu mengekalkan nama dan konfigurasinya sendiri, bukannya diterangkan sebagai salinan checkpoint terdahulu yang boleh saling ditukar ganti.\n\n### Keadaan, soalan dan jawapan yang sah\n\nContoh yang diterbitkan menyediakan baris yang mengandungi keadaan dan soalan pilihan dengan jenis yang ditetapkan. Soalan itu merangkumi arahan dan kriteria dengan kunci yang menjadi jawapan semantik serta penerangan yang mentakrifkan bila setiap satunya terpakai. Model meramalkan kebarangkalian, kemudian fungsi pembantu jawapan pengeluar mentafsir kebarangkalian tersebut untuk soalan itu. Contoh inferens boleh memproses senarai baris, dengan satu keputusan terikat pada bukti dan soalan setiap baris.\n\nUntuk penghalaan permintaan, berikan mesej sebenar dan konteks berkaitan, kemudian takrifkan jabatan atau kategori yang tersedia. Contoh tugas boleh membezakan kegagalan integrasi, masalah akses dan permintaan maklumat produk. Jadikan setiap penerangan cukup tepat untuk memutuskan kes berhampiran sempadan, dan simpan takrif pilihan bersama hasilnya. Taburan kategori kemudian boleh menyokong keputusan penghalaan atau langkah semakan apabila alternatif masih hampir sama. Hasil yang dipilih model tidak dengan sendirinya melaksanakan tindakan aliran kerja.\n\n### Bukti teks dan imej\n\nPelaksanaan natif menerima imej bersama keadaan dan soalan, melalui input fail imej, imej dalam memori atau data imej terenkod. Untuk imej dokumen atau tangkapan skrin, berikan bukti visual dan ajukan soalan tertutup dengan pilihan yang menerangkan hasil berkaitan. Kenal pasti ciri kelihatan yang penting dan sediakan konteks teks yang diperlukan untuk mentafsirkannya. Contohnya, kelaskan sama ada item dalam gambar tergolong dalam salah satu kategori produk yang diberikan, bukannya meminta model keputusan menulis penerangan produk lengkap.\n\nPemproses mengekalkan nisbah aspek semasa mengubah saiz dan membulatkan panjang sisi imej kepada gandaan 32 piksel. Luas imej diproses yang didokumenkan bermula pada 65,536 piksel dan dihadkan oleh maksimum boleh konfigurasi; nilai lalainya ialah 4,194,304 piksel, atau 2048 kali 2048. Setiap tampalan 32 kali 32 menyumbang satu token visual, maka nilai lalai itu membenarkan sehingga 4,096 token visual bagi satu imej. Angka ini menerangkan penyediaan imej natif pengeluar, bukan kontrak muat naik aplikasi umum.\n\n### Had input gabungan dan skop resolusi\n\nLangkah prepare yang didokumenkan menghendaki teks dan semua imej dalam satu keputusan muat dalam 8,192 token. Input terlalu besar ditolak dan bukannya dipotong secara senyap. Beberapa imej berkongsi peruntukan itu dengan keadaan dan soalan bertulis. Kurangkan teks sumber yang tidak berkaitan atau had saiz imej ketika menyediakan keputusan gabungan, sambil mengekalkan perincian yang menentukan jawapan.\n\nTetapan latihan dan penilaian yang dilaporkan mengehadkan imej kepada 512 kali 512, bersamaan 262,144 piksel dan sehingga 256 token visual. Had inferens boleh konfigurasi boleh mengekalkan lebih banyak perincian, tetapi kad model memberi amaran bahawa resolusi lebih tinggi berada di luar taburan latihan itu serta menggunakan lebih banyak memori dan masa pemprosesan. Oleh itu, tetapan imej lebih besar bukan jaminan keputusan lebih baik. Pastikan penyediaan input selaras dengan soalan dan periksa sama ada ciri visual yang diperlukan diwakili dengan jelas.\n\n### Perhatian, pembacaan keputusan dan kalibrasi kebarangkalian\n\nLapisan perhatian penuh checkpoint natif menggunakan mod perhatian bukan kausal yang disimpan, manakala lapisan perhatian linearnya mengekalkan tingkah laku sendiri. Pembuat menyatakan bahawa inferens kausal lalai tidak menghasilkan semula tetapan yang dinilai. Pelaksanaan ramalannya menggunakan suhu kalibrasi yang disimpan; jika logit digunakan secara langsung, suhu itu digunakan sekali dan kebarangkalian dinormalkan merentas calon sah semasa. Perincian ini khusus untuk profil keputusan tepat tersebut dan perlu dikekalkan ketika mentafsir output berangkanya.\n\nKomponen pembacaan keputusan yang berasingan juga membezakan artifak ini daripada eksport generatif. Penukaran kepada antara muka penjanaan berasaskan perbendaharaan kata memerlukan pemetaan jelas dan mesti mengekalkan tingkah laku perhatian. Sediakan soalan tertutup untuk profil keputusan natif; gunakan model penjanaan yang sesuai apabila tugas memerlukan sembang, kod, penjelasan atau permintaan alat.\n\nArtifak akhir yang berguna mengekalkan perkaitan antara keadaan, soalan, jawapan yang dibenarkan dan taburan hasil. Takrifkan soalan berdasarkan bukti yang benar-benar ada, semak kes kabur berdasarkan bukti itu dan gunakan contoh berlabel daripada tugas sasaran untuk menentukan cara output berangka patut mempengaruhi penghalaan atau pengelasan. Model membekalkan kebarangkalian keputusan; kriteria dan aplikasi di sekelilingnya menentukan bagaimana kebarangkalian itu menjadi tindakan berguna atau label yang direkodkan.",
    "alias_of": null,
    "aliases": [],
    "author": "Perplexity",
    "available": null,
    "canonical_model": "perplexity/pplx-decider-v1.1-27b",
    "capabilities": {
      "context_length": 262144,
      "manufacturer_input": [
        "text",
        "image"
      ],
      "manufacturer_output": [
        "decisions"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.00004000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.00000004",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          }
        ],
        "summary": "Maklumat lengkap tentang harga konfigurasi terdapat dalam butiran."
      }
    ],
    "ctx": null,
    "entity_type": "model",
    "formats": [
      "systemone"
    ],
    "id": "perplexity/pplx-decider-v1.1-27b",
    "input": [
      "text",
      "image"
    ],
    "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,
              "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": [
                  "perplexity/pplx-decider-v1.1-27b"
                ],
                "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",
              "image"
            ],
            "multimodal_input_binding": "Gunakan hanya bentuk perwakilan keadaan/dokumen tepat yang diisytiharkan. Keupayaan imej pengeluar sahaja tidak membuktikan bentuk input imej yang diterima bagi model tertentu.",
            "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": 262144,
            "manufacturer_input": [
              "text",
              "image"
            ],
            "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"
                      },
                      {
                        "$ref": "#/components/schemas/DecisionsScoreAnswer"
                      }
                    ]
                  },
                  "type": "object"
                },
                "id": {
                  "type": "string"
                },
                "model": {
                  "type": "string"
                },
                "provider": {
                  "type": "string"
                },
                "usage": {
                  "properties": {
                    "cost": {
                      "format": "double",
                      "type": "number"
                    },
                    "input_tokens": {
                      "type": "integer"
                    },
                    "output_tokens": {
                      "type": "integer"
                    }
                  },
                  "required": [
                    "input_tokens",
                    "output_tokens"
                  ],
                  "type": "object"
                }
              },
              "required": [
                "model",
                "answers",
                "usage"
              ],
              "type": "object"
            }
          },
          "schema": {
            "request": {
              "properties": {
                "model": {
                  "enum": [
                    "perplexity/pplx-decider-v1.1-27b"
                  ],
                  "type": "string"
                },
                "provider": {
                  "allOf": [
                    {
                      "$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": "0.00004000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000004",
                "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": "0.00004000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000004",
                "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\": \"perplexity/pplx-decider-v1.1-27b\",\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']='perplexity/pplx-decider-v1.1-27b'\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": 0.04,
        "input": [
          "text",
          "image"
        ],
        "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": "0.00004000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000004",
                "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": "0.00004000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000004",
                "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": "perplexity/pplx-decider-v1.1-27b",
        "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": 0.04,
            "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": "0.00004000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.00000004",
            "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": "perplexity/pplx-decider-v1.1-27b",
        "request_model_id": "perplexity/pplx-decider-v1.1-27b",
        "route_label": "Ultra"
      }
    ],
    "name": "Perplexity: Decider V1.1 27B",
    "price": {
      "in": 0.04,
      "in_label": null,
      "out": 0,
      "out_label": null,
      "scope_label": "Token rates",
      "sort_in": 0.04,
      "sort_out": 0,
      "varies": true
    },
    "pricing_profiles": [
      {
        "dimensions": {
          "regime": "base"
        },
        "label": "System One · Base token rates",
        "units": [
          {
            "amount": "0.00004000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.00000004",
            "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": "0.00004000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.00000004",
            "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": "perplexity/pplx-decider-v1.1-27b",
    "short": "Decider V1.1 27B Perplexity menilai keadaan dan soalan yang diberikan serta mengembalikan kebarangkalian merentas jawapan yang dibenarkan. Checkpoint keputusan natifnya menyokong teks dan imej, dengan komponen pembacaan keputusan khusus serta had penyediaan input yang didokumenkan, bukannya kontrak penjanaan teks bentuk bebas."
  },
  "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": "Decider V1.1 27B Perplexity menilai keadaan dan soalan yang diberikan serta mengembalikan kebarangkalian merentas jawapan yang dibenarkan. Checkpoint keputusan natifnya menyokong teks dan imej, dengan komponen pembacaan keputusan khusus serta had penyediaan input yang didokumenkan, bukannya kontrak penjanaan teks bentuk bebas.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "0829379a0a453bfeaca6ae84bf77c522791168361bfc9e9f34e2ce643449d314",
    "renderer_sha256": "1dab5ba62521e9568c8b7c82005622cabbf330a075df7cce1f83274a04009460"
  },
  "sourceRevision": "c2f00f7c438bafd44b768f8a8133cc6801bb63a54752c1cd89caede82e017327"
}