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  "aboutHtml": "<p>GPT-6 Luna dalam mode Decisions OpenAI mengevaluasi bukti yang diberikan dan mengembalikan jawaban bertipe tentangnya. Produsen mendokumentasikan GPT-6 Luna sebagai model untuk antarmuka keputusan khusus ini. Model dapat memperkirakan apakah kondisi terpenuhi, memilih dari opsi tetap, atau menempatkan masukan pada rubrik berurutan. Gunakan mode GPT-6 Luna ini ketika tugas membutuhkan hasil keputusan yang ditetapkan, bukan respons tertulis.</p><h4>Masukan bersama, pertanyaan dan jawaban bernama</h4><p>Permintaan produsen memuat model, masukan bersama, dan larik questions. Masukan dapat berupa string teks atau pesan pengguna dengan teks dan gambar. Setiap pertanyaan memiliki nama unik, jenis, instruksi, serta opsi atau tingkat yang diwajibkan. Larik jawaban mengulang nama pertanyaan sehingga hasil dapat dikaitkan dengan kondisi, kategori, atau penilaian yang benar-benar diminta.</p><p>Untuk pesan dukungan, berikan pesan dan konteks yang relevan dengan keputusan berikutnya, lalu namai pertanyaan berdasarkan bidang yang dibutuhkan alur kerja. Untuk bagian dokumen, sertakan teks yang menetapkan kriteria, bukan rujukan tanpa dukungan ke berkas lebih besar. Definisikan pertanyaan berdasarkan fakta yang dapat diamati dan pisahkan hal-hal independen. Hasil yang berguna dapat menggabungkan kategori masalah dengan penilaian keparahan sambil mempertahankan definisi dan makna setiap jawaban.</p><h4>Predicate: memperkirakan apakah kondisi terpenuhi</h4><p>Pertanyaan predicate mengembalikan probabilitas dari 0 hingga 1 bahwa kondisi yang ditetapkan benar. Pertanyaan ini dapat memeriksa relevansi bagian teks atau kondisi yang terlihat dalam gambar. Untuk foto produk, jelaskan cacat terlihat yang perlu diperiksa, seperti retak atau sobek, dan berikan gambar dengan kriteria tersebut. Nilainya merupakan perkiraan model; aplikasi memilih ambang untuk penandaan atau peninjauan.</p><p>Panduan Decisions OpenAI mensyaratkan data gambar terenkode yang disertakan langsung untuk endpoint ini. Alamat gambar yang dihosting dan pengenal berkas bukan masukan gambar yang didukung dalam kontrak yang didokumentasikan tersebut. Konten teks dan gambar dapat digabungkan dalam pesan pengguna agar bukti visual dievaluasi dengan konteks tertulis yang relevan. Buat gambar jelas dan kondisi spesifik; probabilitas untuk satu cacat yang dinyatakan bukan laporan inspeksi umum yang mencakup semua kemungkinan masalah.</p><h4>Choice: memilih satu nilai yang diberikan</h4><p>Pertanyaan choice memilih dari opsi dengan nilai berbeda dan deskripsi yang menjelaskan kapan opsi berlaku. Pilihan yang dikembalikan merupakan salah satu nilai tersebut, dengan probabilitas per opsi dan bidang confidence terpisah. Untuk pengarahan, tetapkan kategori berdasarkan tim atau hasil yang benar-benar tersedia, dan sertakan opsi other ketika himpunan tidak mencakup setiap masukan. Kategori ini tidak berurutan: posisinya bukan skala keparahan.</p><p>Arahan klasifikasi praktis dapat membedakan cacat produk, masalah akses, dan permintaan umum. Jelaskan batas kategori tersebut alih-alih hanya mengandalkan nama singkat. Gunakan pilihan hasil sebagai label usulan dan periksa distribusi ketika beberapa makna masih masuk akal. Hasil memberikan suatu pilihan; aplikasi menentukan apakah pilihan itu memicu pengarahan otomatis atau peninjauan.</p><h4>Score: posisi rubrik berbobot probabilitas</h4><p>Pertanyaan score menggunakan tingkat berurutan dari terendah hingga tertinggi. Indeks tingkat dimulai pada 0, dan skor merupakan rata-rata indeks berbobot probabilitas. Skor dapat berada di antara tingkat. Untuk keparahan masalah, satu tingkat dapat berarti dampak kosmetik, tingkat lain solusi sementara yang dapat digunakan, dan tingkat lain hambatan total; tetapkan kriteria yang membedakannya. Jawaban mencakup probabilitas per tingkat dan confidence bersama skor.</p><p>Nilai harapan skor merangkum distribusi alih-alih memilih satu kategori. Pertahankan perbedaan tersebut saat menggunakan hasil untuk prioritas atau tren agregat. Tampilan kategori tetap dapat menggunakan pertanyaan choice. Confidence merupakan bidang terpisah yang dilaporkan untuk jawaban choice dan score; panduan tidak mendefinisikannya sebagai identik dengan probabilitas opsi terpilih.</p><h4>Beberapa pertanyaan dan keputusan yang bergantung</h4><p>Pertanyaan independen dapat berbagi masukan dalam satu permintaan produsen, termasuk jenis pertanyaan yang berbeda. Foto dapat mendukung predicate cacat dan pilihan kategori, atau pesan dapat mendukung penilaian kategori dan keparahan. Berikan setiap hal instruksi serta maknanya sendiri. Ketika keputusan berikutnya bergantung pada hasil sebelumnya, produsen menyarankan permintaan terpisah agar pertanyaan kedua dapat menggunakan hasil tersebut secara eksplisit. Jangan menganggap pengurutan pertanyaan dalam satu larik menjadikannya percakapan berurutan.</p><h4>Memilih keluaran yang tepat dan menafsirkan batas</h4><p>Decisions memberikan hasil predicate, choice, atau score yang ditetapkan. Jawaban juga dapat memiliki jenis refusal; periksa jenisnya sebelum membaca probabilitas, pilihan, atau skor. OpenAI membedakan ini dari pembangkitan objek sembarang berbasis skema atau penjelasan tertulis melalui Structured Outputs, serta dari permintaan tindakan alat melalui function calling. Jawaban keputusan tidak boleh disajikan sebagai alasan yang dihasilkan atau bukti bahwa tindakan eksternal telah terjadi. Keluaran, penalaran, dan pengaturan alat model percakapan umum tidak otomatis menjadi bagian dari mode khusus ini.</p><p>Gunakan masukan berlabel yang representatif untuk menilai ambang pengarahan, penyaringan, dan peninjauan, dengan memperhitungkan akibat positif palsu dan negatif palsu. Pertahankan hubungan bukti, definisi pertanyaan, dan keluaran numerik mentah agar hasil ambigu dapat diperiksa. Jaga bukti bersama tetap relevan dengan pertanyaan bernama dan tetapkan setiap opsi atau tingkat rubrik dengan jelas sebelum mengirim tugas keputusan. Siapkan bukti dan jenis jawaban berdasarkan alur keputusan yang didokumentasikan, dengan keluaran ditafsirkan sesuai tugas yang dievaluasinya.</p>",
  "aboutText": "GPT-6 Luna dalam mode Decisions OpenAI mengevaluasi bukti yang diberikan dan mengembalikan jawaban bertipe tentangnya. Produsen mendokumentasikan GPT-6 Luna sebagai model untuk antarmuka keputusan khusus ini. Model dapat memperkirakan apakah kondisi terpenuhi, memilih dari opsi tetap, atau menempatkan masukan pada rubrik berurutan. Gunakan mode GPT-6 Luna ini ketika tugas membutuhkan hasil keputusan yang ditetapkan, bukan respons tertulis.\n\n### Masukan bersama, pertanyaan dan jawaban bernama\n\nPermintaan produsen memuat model, masukan bersama, dan larik questions. Masukan dapat berupa string teks atau pesan pengguna dengan teks dan gambar. Setiap pertanyaan memiliki nama unik, jenis, instruksi, serta opsi atau tingkat yang diwajibkan. Larik jawaban mengulang nama pertanyaan sehingga hasil dapat dikaitkan dengan kondisi, kategori, atau penilaian yang benar-benar diminta.\n\nUntuk pesan dukungan, berikan pesan dan konteks yang relevan dengan keputusan berikutnya, lalu namai pertanyaan berdasarkan bidang yang dibutuhkan alur kerja. Untuk bagian dokumen, sertakan teks yang menetapkan kriteria, bukan rujukan tanpa dukungan ke berkas lebih besar. Definisikan pertanyaan berdasarkan fakta yang dapat diamati dan pisahkan hal-hal independen. Hasil yang berguna dapat menggabungkan kategori masalah dengan penilaian keparahan sambil mempertahankan definisi dan makna setiap jawaban.\n\n### Predicate: memperkirakan apakah kondisi terpenuhi\n\nPertanyaan predicate mengembalikan probabilitas dari 0 hingga 1 bahwa kondisi yang ditetapkan benar. Pertanyaan ini dapat memeriksa relevansi bagian teks atau kondisi yang terlihat dalam gambar. Untuk foto produk, jelaskan cacat terlihat yang perlu diperiksa, seperti retak atau sobek, dan berikan gambar dengan kriteria tersebut. Nilainya merupakan perkiraan model; aplikasi memilih ambang untuk penandaan atau peninjauan.\n\nPanduan Decisions OpenAI mensyaratkan data gambar terenkode yang disertakan langsung untuk endpoint ini. Alamat gambar yang dihosting dan pengenal berkas bukan masukan gambar yang didukung dalam kontrak yang didokumentasikan tersebut. Konten teks dan gambar dapat digabungkan dalam pesan pengguna agar bukti visual dievaluasi dengan konteks tertulis yang relevan. Buat gambar jelas dan kondisi spesifik; probabilitas untuk satu cacat yang dinyatakan bukan laporan inspeksi umum yang mencakup semua kemungkinan masalah.\n\n### Choice: memilih satu nilai yang diberikan\n\nPertanyaan choice memilih dari opsi dengan nilai berbeda dan deskripsi yang menjelaskan kapan opsi berlaku. Pilihan yang dikembalikan merupakan salah satu nilai tersebut, dengan probabilitas per opsi dan bidang confidence terpisah. Untuk pengarahan, tetapkan kategori berdasarkan tim atau hasil yang benar-benar tersedia, dan sertakan opsi other ketika himpunan tidak mencakup setiap masukan. Kategori ini tidak berurutan: posisinya bukan skala keparahan.\n\nArahan klasifikasi praktis dapat membedakan cacat produk, masalah akses, dan permintaan umum. Jelaskan batas kategori tersebut alih-alih hanya mengandalkan nama singkat. Gunakan pilihan hasil sebagai label usulan dan periksa distribusi ketika beberapa makna masih masuk akal. Hasil memberikan suatu pilihan; aplikasi menentukan apakah pilihan itu memicu pengarahan otomatis atau peninjauan.\n\n### Score: posisi rubrik berbobot probabilitas\n\nPertanyaan score menggunakan tingkat berurutan dari terendah hingga tertinggi. Indeks tingkat dimulai pada 0, dan skor merupakan rata-rata indeks berbobot probabilitas. Skor dapat berada di antara tingkat. Untuk keparahan masalah, satu tingkat dapat berarti dampak kosmetik, tingkat lain solusi sementara yang dapat digunakan, dan tingkat lain hambatan total; tetapkan kriteria yang membedakannya. Jawaban mencakup probabilitas per tingkat dan confidence bersama skor.\n\nNilai harapan skor merangkum distribusi alih-alih memilih satu kategori. Pertahankan perbedaan tersebut saat menggunakan hasil untuk prioritas atau tren agregat. Tampilan kategori tetap dapat menggunakan pertanyaan choice. Confidence merupakan bidang terpisah yang dilaporkan untuk jawaban choice dan score; panduan tidak mendefinisikannya sebagai identik dengan probabilitas opsi terpilih.\n\n### Beberapa pertanyaan dan keputusan yang bergantung\n\nPertanyaan independen dapat berbagi masukan dalam satu permintaan produsen, termasuk jenis pertanyaan yang berbeda. Foto dapat mendukung predicate cacat dan pilihan kategori, atau pesan dapat mendukung penilaian kategori dan keparahan. Berikan setiap hal instruksi serta maknanya sendiri. Ketika keputusan berikutnya bergantung pada hasil sebelumnya, produsen menyarankan permintaan terpisah agar pertanyaan kedua dapat menggunakan hasil tersebut secara eksplisit. Jangan menganggap pengurutan pertanyaan dalam satu larik menjadikannya percakapan berurutan.\n\n### Memilih keluaran yang tepat dan menafsirkan batas\n\nDecisions memberikan hasil predicate, choice, atau score yang ditetapkan. Jawaban juga dapat memiliki jenis refusal; periksa jenisnya sebelum membaca probabilitas, pilihan, atau skor. OpenAI membedakan ini dari pembangkitan objek sembarang berbasis skema atau penjelasan tertulis melalui Structured Outputs, serta dari permintaan tindakan alat melalui function calling. Jawaban keputusan tidak boleh disajikan sebagai alasan yang dihasilkan atau bukti bahwa tindakan eksternal telah terjadi. Keluaran, penalaran, dan pengaturan alat model percakapan umum tidak otomatis menjadi bagian dari mode khusus ini.\n\nGunakan masukan berlabel yang representatif untuk menilai ambang pengarahan, penyaringan, dan peninjauan, dengan memperhitungkan akibat positif palsu dan negatif palsu. Pertahankan hubungan bukti, definisi pertanyaan, dan keluaran numerik mentah agar hasil ambigu dapat diperiksa. Jaga bukti bersama tetap relevan dengan pertanyaan bernama dan tetapkan setiap opsi atau tingkat rubrik dengan jelas sebelum mengirim tugas keputusan. Siapkan bukti dan jenis jawaban berdasarkan alur keputusan yang didokumentasikan, dengan keluaran ditafsirkan sesuai tugas yang dievaluasinya.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">O</span><h2 id=\"sheet-title\">OpenAI: GPT-6 Luna Decisions</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Tutup\">×</button></div><div class=\"idline\"><span>OpenAI /</span><code>openai/gpt-6-luna-decisions</code><button type=\"button\" id=\"copy-id\">Salin ID</button></div><nav class=\"card-jump-nav\" aria-label=\"Bagian kartu model\"><button type=\"button\" data-card-jump=\"overview\">Mulai</button><button type=\"button\" data-card-jump=\"methods\">Masukan &amp; metode</button><button type=\"button\" data-card-jump=\"pricing\">Paket</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=\"Metode 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|openai%2Fgpt-6-luna-decisions\">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\">Mulai</h3><p class=\"mdesc-full\">GPT-6 Luna dalam mode Decisions OpenAI mengevaluasi teks dan gambar serta mengembalikan jawaban probabilistik bertipe: probabilitas kondisi, pilihan tetap, atau skor rubrik. Model ini mendukung klasifikasi, perutean, dan penentuan prioritas tanpa menggunakan penjelasan tertulis sebagai hasil keputusan.</p><dl class=\"card-io\" data-card-io><div><dt>Masukan yang diterima</dt><dd>Teks · Gambar</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>Deskripsi ini mencakup kemampuan model. Masukan, keluaran, dan opsi yang tersedia di Ailoot tercantum di bawah untuk metode yang dipilih.</p><div class=\"mabout\" id=\"m-about\"><p>GPT-6 Luna dalam mode Decisions OpenAI mengevaluasi bukti yang diberikan dan mengembalikan jawaban bertipe tentangnya. Produsen mendokumentasikan GPT-6 Luna sebagai model untuk antarmuka keputusan khusus ini. Model dapat memperkirakan apakah kondisi terpenuhi, memilih dari opsi tetap, atau menempatkan masukan pada rubrik berurutan. Gunakan mode GPT-6 Luna ini ketika tugas membutuhkan hasil keputusan yang ditetapkan, bukan respons tertulis.</p><h4>Masukan bersama, pertanyaan dan jawaban bernama</h4><p>Permintaan produsen memuat model, masukan bersama, dan larik questions. Masukan dapat berupa string teks atau pesan pengguna dengan teks dan gambar. Setiap pertanyaan memiliki nama unik, jenis, instruksi, serta opsi atau tingkat yang diwajibkan. Larik jawaban mengulang nama pertanyaan sehingga hasil dapat dikaitkan dengan kondisi, kategori, atau penilaian yang benar-benar diminta.</p><p>Untuk pesan dukungan, berikan pesan dan konteks yang relevan dengan keputusan berikutnya, lalu namai pertanyaan berdasarkan bidang yang dibutuhkan alur kerja. Untuk bagian dokumen, sertakan teks yang menetapkan kriteria, bukan rujukan tanpa dukungan ke berkas lebih besar. Definisikan pertanyaan berdasarkan fakta yang dapat diamati dan pisahkan hal-hal independen. Hasil yang berguna dapat menggabungkan kategori masalah dengan penilaian keparahan sambil mempertahankan definisi dan makna setiap jawaban.</p><h4>Predicate: memperkirakan apakah kondisi terpenuhi</h4><p>Pertanyaan predicate mengembalikan probabilitas dari 0 hingga 1 bahwa kondisi yang ditetapkan benar. Pertanyaan ini dapat memeriksa relevansi bagian teks atau kondisi yang terlihat dalam gambar. Untuk foto produk, jelaskan cacat terlihat yang perlu diperiksa, seperti retak atau sobek, dan berikan gambar dengan kriteria tersebut. Nilainya merupakan perkiraan model; aplikasi memilih ambang untuk penandaan atau peninjauan.</p><p>Panduan Decisions OpenAI mensyaratkan data gambar terenkode yang disertakan langsung untuk endpoint ini. Alamat gambar yang dihosting dan pengenal berkas bukan masukan gambar yang didukung dalam kontrak yang didokumentasikan tersebut. Konten teks dan gambar dapat digabungkan dalam pesan pengguna agar bukti visual dievaluasi dengan konteks tertulis yang relevan. Buat gambar jelas dan kondisi spesifik; probabilitas untuk satu cacat yang dinyatakan bukan laporan inspeksi umum yang mencakup semua kemungkinan masalah.</p><h4>Choice: memilih satu nilai yang diberikan</h4><p>Pertanyaan choice memilih dari opsi dengan nilai berbeda dan deskripsi yang menjelaskan kapan opsi berlaku. Pilihan yang dikembalikan merupakan salah satu nilai tersebut, dengan probabilitas per opsi dan bidang confidence terpisah. Untuk pengarahan, tetapkan kategori berdasarkan tim atau hasil yang benar-benar tersedia, dan sertakan opsi other ketika himpunan tidak mencakup setiap masukan. Kategori ini tidak berurutan: posisinya bukan skala keparahan.</p><p>Arahan klasifikasi praktis dapat membedakan cacat produk, masalah akses, dan permintaan umum. Jelaskan batas kategori tersebut alih-alih hanya mengandalkan nama singkat. Gunakan pilihan hasil sebagai label usulan dan periksa distribusi ketika beberapa makna masih masuk akal. Hasil memberikan suatu pilihan; aplikasi menentukan apakah pilihan itu memicu pengarahan otomatis atau peninjauan.</p><h4>Score: posisi rubrik berbobot probabilitas</h4><p>Pertanyaan score menggunakan tingkat berurutan dari terendah hingga tertinggi. Indeks tingkat dimulai pada 0, dan skor merupakan rata-rata indeks berbobot probabilitas. Skor dapat berada di antara tingkat. Untuk keparahan masalah, satu tingkat dapat berarti dampak kosmetik, tingkat lain solusi sementara yang dapat digunakan, dan tingkat lain hambatan total; tetapkan kriteria yang membedakannya. Jawaban mencakup probabilitas per tingkat dan confidence bersama skor.</p><p>Nilai harapan skor merangkum distribusi alih-alih memilih satu kategori. Pertahankan perbedaan tersebut saat menggunakan hasil untuk prioritas atau tren agregat. Tampilan kategori tetap dapat menggunakan pertanyaan choice. Confidence merupakan bidang terpisah yang dilaporkan untuk jawaban choice dan score; panduan tidak mendefinisikannya sebagai identik dengan probabilitas opsi terpilih.</p><h4>Beberapa pertanyaan dan keputusan yang bergantung</h4><p>Pertanyaan independen dapat berbagi masukan dalam satu permintaan produsen, termasuk jenis pertanyaan yang berbeda. Foto dapat mendukung predicate cacat dan pilihan kategori, atau pesan dapat mendukung penilaian kategori dan keparahan. Berikan setiap hal instruksi serta maknanya sendiri. Ketika keputusan berikutnya bergantung pada hasil sebelumnya, produsen menyarankan permintaan terpisah agar pertanyaan kedua dapat menggunakan hasil tersebut secara eksplisit. Jangan menganggap pengurutan pertanyaan dalam satu larik menjadikannya percakapan berurutan.</p><h4>Memilih keluaran yang tepat dan menafsirkan batas</h4><p>Decisions memberikan hasil predicate, choice, atau score yang ditetapkan. Jawaban juga dapat memiliki jenis refusal; periksa jenisnya sebelum membaca probabilitas, pilihan, atau skor. OpenAI membedakan ini dari pembangkitan objek sembarang berbasis skema atau penjelasan tertulis melalui Structured Outputs, serta dari permintaan tindakan alat melalui function calling. Jawaban keputusan tidak boleh disajikan sebagai alasan yang dihasilkan atau bukti bahwa tindakan eksternal telah terjadi. Keluaran, penalaran, dan pengaturan alat model percakapan umum tidak otomatis menjadi bagian dari mode khusus ini.</p><p>Gunakan masukan berlabel yang representatif untuk menilai ambang pengarahan, penyaringan, dan peninjauan, dengan memperhitungkan akibat positif palsu dan negatif palsu. Pertahankan hubungan bukti, definisi pertanyaan, dan keluaran numerik mentah agar hasil ambigu dapat diperiksa. Jaga bukti bersama tetap relevan dengan pertanyaan bernama dan tetapkan setiap opsi atau tingkat rubrik dengan jelas sebelum mengirim tugas keputusan. Siapkan bukti dan jenis jawaban berdasarkan alur keputusan yang didokumentasikan, dengan keluaran ditafsirkan sesuai tugas yang dievaluasinya.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Tersedia di Ailoot · masukan &amp; metode</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>Masukan</dt><dd><code>text</code>, <code>image</code></dd></div><div><dt>Keluaran</dt><dd><code>decisions</code></dd></div><div><dt>Format keluaran</dt><dd>json</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Kolom</th><th>Jenis</th><th>Persyaratan</th><th>Nilai &amp; batasan</th><th>Bawaan</th></tr></thead><tbody><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Wajib</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span><div>openai/gpt-6-luna-decisions</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Opsional</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Wajib</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Opsional</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Wajib</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Opsional</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Opsional</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Wajib</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span><div>noul, choice, score</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Wajib</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Opsional</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span><div>Kondisi: choice/score: wajib; noul: opsional. Kriteria choice berupa objek; score berupa array dengan minItems1.</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Wajib</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span><div>Berlaku jika: Objek criteria noul disertakan</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Wajib</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span><div>Berlaku jika: Objek criteria noul disertakan</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr></tbody></table></div><details class=\"card-about\" data-material-combinations><summary>Kombinasi bahan masukan</summary><p class=\"note-s\"><b>noul</b> · Wajib: state, questions.&lt;id&gt;.type=noul, questions.&lt;id&gt;.instructions</p><p class=\"note-s\"><b>choice</b> · Wajib: state, questions.&lt;id&gt;.type=choice, questions.&lt;id&gt;.instructions, criteria object</p><p class=\"note-s\"><b>score</b> · Wajib: 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 metode dan siklus hidup</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 representasi state/dokumen persis yang dideklarasikan. Kemampuan gambar dari pembuat model saja tidak menetapkan bentuk pengiriman gambar yang diterima untuk model tertentu.</td></tr></tbody></table></div><p>Siklus hidup: <code>synchronous</code></p><p class=\"note-s\">Kirim ID model yang persis dan simpan respons native secara utuh.</p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Paket</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Referensi tarif tidak menambah opsi permintaan. Parameter yang didukung tercantum pada metode yang dipilih.</p><dl data-price-conditions><dt>Mode Fast</dt><dd>Tidak ditentukan <span class=\"note-s\">Saat mode fast dipilih</span></dd><dt>Mode Flex</dt><dd>Tidak ditentukan <span class=\"note-s\">Saat mode flex dipilih</span></dd><dt>Upaya penalaran maksimum</dt><dd>Tidak ditentukan <span class=\"note-s\">Saat upaya penalaran maksimum menggunakan penyesuaian default</span></dd></dl></div><div data-declared-tariff-pricing><h4>Tarif Ailoot</h4><h4>Harga menurut konfigurasi</h4><p class=\"note-s\">Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Konfigurasi</th><th>Jadwal tarif</th><th>Token konteks, lebih dari</th><th>Token konteks, hingga dan termasuk</th><th>Biaya</th></tr></thead><tbody><tr><th data-cell-label=\"Konfigurasi\" scope=\"row\"><span class=\"card-cell-label\">Konfigurasi</span>Tarif dasar token</th><td data-cell-label=\"Jadwal tarif\"><span class=\"card-cell-label\">Jadwal tarif</span>Tarif dasar</td><td data-cell-label=\"Token konteks, lebih dari\"><span class=\"card-cell-label\">Token konteks, lebih dari</span>—</td><td data-cell-label=\"Token konteks, hingga dan termasuk\"><span class=\"card-cell-label\">Token konteks, hingga dan termasuk</span>Tanpa batas atas</td><td data-cell-label=\"Biaya\"><span class=\"card-cell-label\">Biaya</span><div><span>Masukan · Token masukan</span> <b>$0.0002</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Keluaran · Token keluaran</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · Pembacaan cache</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · Penulisan cache</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · 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>Panjang permintaan · tingkat 1</th><td data-cell-label=\"Jadwal tarif\"><span class=\"card-cell-label\">Jadwal tarif</span>—</td><td data-cell-label=\"Token konteks, lebih dari\"><span class=\"card-cell-label\">Token konteks, lebih dari</span>0</td><td data-cell-label=\"Token konteks, hingga dan termasuk\"><span class=\"card-cell-label\">Token konteks, hingga dan termasuk</span>Tanpa batas atas</td><td data-cell-label=\"Biaya\"><span class=\"card-cell-label\">Biaya</span><div><span>Masukan · Token masukan</span> <b>$0.0002</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Keluaran · Token keluaran</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · Pembacaan cache</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · Penulisan cache</span> <b>$0</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · 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 mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. <a href=\"/docs/id/billing/reserve/\">Cara kerja cadangan dan penyelesaian tagihan →</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 kode\"><button class=\"cg-tab\" id=\"model-code-2117-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2117-panel-0\" aria-selected=\"true\" tabindex=\"0\">Struktur permintaan resmi yang dipertahankan; contoh untuk dokumentasi</button><button class=\"cg-tab\" id=\"model-code-2117-tab-1\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2117-panel-1\" aria-selected=\"false\" tabindex=\"-1\">Gunakan bahan permintaan Anda yang sebenarnya dan simpan hasil secara lengkap</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Salin kode\"><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-2117-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2117-tab-0\"><pre data-lang=\"json\"><code>{\n  &quot;model&quot;: &quot;openai/gpt-6-luna-decisions&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-2117-panel-1\" role=\"tabpanel\" aria-labelledby=\"model-code-2117-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;openai/gpt-6-luna-decisions&#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, berkas, dan bagian konten yang dikembalikan.</p><p class=\"note-s\">Setiap jawaban berdasarkan ID pertanyaan yang diberikan dipertahankan beserta tipe persisnya, nilai noul/pilihan/skor, tingkat keyakinan, probabilitas, dan legenda. Seluruh JSON asli disimpan dan hanya dikembalikan setelah penyelesaian tagihan.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Jika respons asli perlu diperiksa</h5><p class=\"note-s\">Simpan operasi awal dan balasan lengkap/sebagian; jangan ulangi POST.</p></div><details class=\"card-about\" data-output-fields><summary>Kolom respons</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>Kolom</th><th>Jenis</th></tr></thead><tbody><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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>Kesalahan dan langkah berikutnya</summary><div class=\"tw\" data-card-table=\"errors\"><table><thead><tr><th>Respons</th><th>Kondisi</th><th>Langkah berikutnya</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=\"Kondisi\"><span class=\"card-cell-label\">Kondisi</span>Bidang wajib, representasi, atau nilai tidak valid</td><td data-cell-label=\"Langkah berikutnya\"><span class=\"card-cell-label\">Langkah berikutnya</span>Perbaiki bidang permintaan yang ditunjukkan.</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=openai%2Fgpt-6-luna-decisions&amp;route=Ultra&amp;caller=openai%2Fgpt-6-luna-decisions&amp;fmt=systemone\"><code>openai/gpt-6-luna-decisions</code></a></span></p><h4>Alias jalur metode</h4><p class=\"note-s\">Gunakan jalur metode yang ditampilkan di atas.</p><h4>ID pemanggil terkait</h4><p class=\"note-s\"><a href=\"#m=openai%2Fgpt-6-luna-decisions&amp;route=Ultra&amp;caller=openai%2Fgpt-6-luna-decisions&amp;fmt=systemone\"><code>openai/gpt-6-luna-decisions</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "openai/gpt-6-luna-decisions",
        "fmt": "systemone",
        "http": "POST",
        "path": "/v1/systemone",
        "request_model_id": "openai/gpt-6-luna-decisions",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|systemone|/v1/systemone|openai%2Fgpt-6-luna-decisions",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": 0,
        "cache_write": 0,
        "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": "Bidang wajib, representasi, atau nilai tidak valid",
                "http_status": 400,
                "recovery": "Perbaiki bidang permintaan yang ditunjukkan.",
                "type": "invalid_request_error"
              }
            ],
            "hints": [],
            "ignored_fields": [],
            "lifecycle": {
              "cancel": null,
              "idempotency_header": null,
              "job_retrieve": null,
              "mode": "synchronous",
              "streaming": false,
              "unknown": "Simpan operasi awal dan balasan lengkap/sebagian; jangan ulangi 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 jawaban berdasarkan ID pertanyaan yang diberikan dipertahankan beserta tipe persisnya, nilai noul/pilihan/skor, tingkat keyakinan, probabilitas, dan legenda. Seluruh JSON asli disimpan dan hanya dikembalikan setelah penyelesaian tagihan.",
              "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": [
                  "openai/gpt-6-luna-decisions"
                ],
                "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: opsional. Kriteria choice berupa objek; score berupa array 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 criteria noul disertakan"
              },
              {
                "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 criteria noul disertakan"
              }
            ],
            "unsupported": [
              "stream=true"
            ]
          },
          "hints": [
            "Kirim ID model yang persis dan simpan respons native secara utuh."
          ],
          "input": {
            "content_type": "application/json",
            "material_types": [
              "text",
              "image"
            ],
            "multimodal_input_binding": "Gunakan hanya representasi state/dokumen persis yang dideklarasikan. Kemampuan gambar dari pembuat model saja tidak menetapkan bentuk pengiriman gambar yang diterima untuk 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": 1050000,
            "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",
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                "name": "provider",
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              {
                "description": null,
                "name": "answers.<id>.type",
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              {
                "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",
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                "name": "answers.<id>.probabilities",
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              },
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                "description": null,
                "name": "usage.input_tokens",
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              {
                "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"
                      },
                      {
                        "$ref": "#/components/schemas/DecisionsScoreAnswer"
                      }
                    ]
                  },
                  "type": "object"
                },
                "id": {
                  "type": "string"
                },
                "model": {
                  "type": "string"
                },
                "provider": {
                  "type": "string"
                },
                "usage": {
                  "properties": {
                    "cost": {
                      "format": "double",
                      "type": "number"
                    },
                    "input_tokens": {
                      "type": "integer"
                    },
                    "output_tokens": {
                      "type": "integer"
                    }
                  },
                  "required": [
                    "input_tokens",
                    "output_tokens"
                  ],
                  "type": "object"
                }
              },
              "required": [
                "model",
                "answers",
                "usage"
              ],
              "type": "object"
            }
          },
          "schema": {
            "request": {
              "properties": {
                "model": {
                  "enum": [
                    "openai/gpt-6-luna-decisions"
                  ],
                  "type": "string"
                },
                "provider": {
                  "allOf": [
                    {
                      "$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",
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                        "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": "Tarif dasar token",
            "units": [
              {
                "amount": "0.0002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000002",
                "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",
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              {
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                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
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                "native_amount_usd_per_unit": "0",
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            "label": "Panjang permintaan · tingkat 1",
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                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000002",
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                "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,
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                "rate_role": "typed_native_retail_rate",
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            ]
          }
        ],
        "examples": [
          {
            "code": "{\n  \"model\": \"openai/gpt-6-luna-decisions\",\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']='openai/gpt-6-luna-decisions'\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": 0.2,
        "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
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        "pricing_profiles": [
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              "regime": "base"
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            "label": "Base token rates",
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                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
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          },
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            "label": "Request-length tier 1",
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                "rate_role": "typed_native_retail_rate",
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        "request_model_id": "openai/gpt-6-luna-decisions",
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        "status_reads": [],
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            "cache_write_multiplier": null,
            "created_at": "0001-01-01T00:00:00Z",
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            "interval_boundary": "min_exclusive_max_inclusive",
            "max": null,
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            "min": 0,
            "min_tokens": 0,
            "null_rate_policy": "unknown or inherited; never zero",
            "out": 0,
            "output_multiplier": null,
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            "sort_order": 0,
            "tier_label": "",
            "updated_at": "0001-01-01T00:00:00Z"
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        ],
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            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
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  ],
  "model_id": "openai/gpt-6-luna-decisions",
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    "role": "historical-normalized-input-audit-hashes",
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  },
  "page": {
    "canonical": "https://ailoot.ai/models/id/openai-gpt-6-luna-decisions/",
    "description": "GPT-6 Luna dalam mode Decisions OpenAI mengevaluasi teks dan gambar serta mengembalikan jawaban probabilistik bertipe: probabilitas kondisi, pilihan tetap, atau skor rubrik. Model ini mendukung klasifikasi, perutean, dan penentuan prioritas tanpa menggunakan penjelasan tertulis sebagai hasil keputusan.",
    "locale": "id",
    "md_url": "https://ailoot.ai/models/id/openai-gpt-6-luna-decisions/index.md",
    "title": "OpenAI: GPT-6 Luna Decisions — Ailoot",
    "url": "https://ailoot.ai/models/id/openai-gpt-6-luna-decisions/"
  },
  "rawModel": {
    "about": "GPT-6 Luna dalam mode Decisions OpenAI mengevaluasi bukti yang diberikan dan mengembalikan jawaban bertipe tentangnya. Produsen mendokumentasikan GPT-6 Luna sebagai model untuk antarmuka keputusan khusus ini. Model dapat memperkirakan apakah kondisi terpenuhi, memilih dari opsi tetap, atau menempatkan masukan pada rubrik berurutan. Gunakan mode GPT-6 Luna ini ketika tugas membutuhkan hasil keputusan yang ditetapkan, bukan respons tertulis.\n\n### Masukan bersama, pertanyaan dan jawaban bernama\n\nPermintaan produsen memuat model, masukan bersama, dan larik questions. Masukan dapat berupa string teks atau pesan pengguna dengan teks dan gambar. Setiap pertanyaan memiliki nama unik, jenis, instruksi, serta opsi atau tingkat yang diwajibkan. Larik jawaban mengulang nama pertanyaan sehingga hasil dapat dikaitkan dengan kondisi, kategori, atau penilaian yang benar-benar diminta.\n\nUntuk pesan dukungan, berikan pesan dan konteks yang relevan dengan keputusan berikutnya, lalu namai pertanyaan berdasarkan bidang yang dibutuhkan alur kerja. Untuk bagian dokumen, sertakan teks yang menetapkan kriteria, bukan rujukan tanpa dukungan ke berkas lebih besar. Definisikan pertanyaan berdasarkan fakta yang dapat diamati dan pisahkan hal-hal independen. Hasil yang berguna dapat menggabungkan kategori masalah dengan penilaian keparahan sambil mempertahankan definisi dan makna setiap jawaban.\n\n### Predicate: memperkirakan apakah kondisi terpenuhi\n\nPertanyaan predicate mengembalikan probabilitas dari 0 hingga 1 bahwa kondisi yang ditetapkan benar. Pertanyaan ini dapat memeriksa relevansi bagian teks atau kondisi yang terlihat dalam gambar. Untuk foto produk, jelaskan cacat terlihat yang perlu diperiksa, seperti retak atau sobek, dan berikan gambar dengan kriteria tersebut. Nilainya merupakan perkiraan model; aplikasi memilih ambang untuk penandaan atau peninjauan.\n\nPanduan Decisions OpenAI mensyaratkan data gambar terenkode yang disertakan langsung untuk endpoint ini. Alamat gambar yang dihosting dan pengenal berkas bukan masukan gambar yang didukung dalam kontrak yang didokumentasikan tersebut. Konten teks dan gambar dapat digabungkan dalam pesan pengguna agar bukti visual dievaluasi dengan konteks tertulis yang relevan. Buat gambar jelas dan kondisi spesifik; probabilitas untuk satu cacat yang dinyatakan bukan laporan inspeksi umum yang mencakup semua kemungkinan masalah.\n\n### Choice: memilih satu nilai yang diberikan\n\nPertanyaan choice memilih dari opsi dengan nilai berbeda dan deskripsi yang menjelaskan kapan opsi berlaku. Pilihan yang dikembalikan merupakan salah satu nilai tersebut, dengan probabilitas per opsi dan bidang confidence terpisah. Untuk pengarahan, tetapkan kategori berdasarkan tim atau hasil yang benar-benar tersedia, dan sertakan opsi other ketika himpunan tidak mencakup setiap masukan. Kategori ini tidak berurutan: posisinya bukan skala keparahan.\n\nArahan klasifikasi praktis dapat membedakan cacat produk, masalah akses, dan permintaan umum. Jelaskan batas kategori tersebut alih-alih hanya mengandalkan nama singkat. Gunakan pilihan hasil sebagai label usulan dan periksa distribusi ketika beberapa makna masih masuk akal. Hasil memberikan suatu pilihan; aplikasi menentukan apakah pilihan itu memicu pengarahan otomatis atau peninjauan.\n\n### Score: posisi rubrik berbobot probabilitas\n\nPertanyaan score menggunakan tingkat berurutan dari terendah hingga tertinggi. Indeks tingkat dimulai pada 0, dan skor merupakan rata-rata indeks berbobot probabilitas. Skor dapat berada di antara tingkat. Untuk keparahan masalah, satu tingkat dapat berarti dampak kosmetik, tingkat lain solusi sementara yang dapat digunakan, dan tingkat lain hambatan total; tetapkan kriteria yang membedakannya. Jawaban mencakup probabilitas per tingkat dan confidence bersama skor.\n\nNilai harapan skor merangkum distribusi alih-alih memilih satu kategori. Pertahankan perbedaan tersebut saat menggunakan hasil untuk prioritas atau tren agregat. Tampilan kategori tetap dapat menggunakan pertanyaan choice. Confidence merupakan bidang terpisah yang dilaporkan untuk jawaban choice dan score; panduan tidak mendefinisikannya sebagai identik dengan probabilitas opsi terpilih.\n\n### Beberapa pertanyaan dan keputusan yang bergantung\n\nPertanyaan independen dapat berbagi masukan dalam satu permintaan produsen, termasuk jenis pertanyaan yang berbeda. Foto dapat mendukung predicate cacat dan pilihan kategori, atau pesan dapat mendukung penilaian kategori dan keparahan. Berikan setiap hal instruksi serta maknanya sendiri. Ketika keputusan berikutnya bergantung pada hasil sebelumnya, produsen menyarankan permintaan terpisah agar pertanyaan kedua dapat menggunakan hasil tersebut secara eksplisit. Jangan menganggap pengurutan pertanyaan dalam satu larik menjadikannya percakapan berurutan.\n\n### Memilih keluaran yang tepat dan menafsirkan batas\n\nDecisions memberikan hasil predicate, choice, atau score yang ditetapkan. Jawaban juga dapat memiliki jenis refusal; periksa jenisnya sebelum membaca probabilitas, pilihan, atau skor. OpenAI membedakan ini dari pembangkitan objek sembarang berbasis skema atau penjelasan tertulis melalui Structured Outputs, serta dari permintaan tindakan alat melalui function calling. Jawaban keputusan tidak boleh disajikan sebagai alasan yang dihasilkan atau bukti bahwa tindakan eksternal telah terjadi. Keluaran, penalaran, dan pengaturan alat model percakapan umum tidak otomatis menjadi bagian dari mode khusus ini.\n\nGunakan masukan berlabel yang representatif untuk menilai ambang pengarahan, penyaringan, dan peninjauan, dengan memperhitungkan akibat positif palsu dan negatif palsu. Pertahankan hubungan bukti, definisi pertanyaan, dan keluaran numerik mentah agar hasil ambigu dapat diperiksa. Jaga bukti bersama tetap relevan dengan pertanyaan bernama dan tetapkan setiap opsi atau tingkat rubrik dengan jelas sebelum mengirim tugas keputusan. Siapkan bukti dan jenis jawaban berdasarkan alur keputusan yang didokumentasikan, dengan keluaran ditafsirkan sesuai tugas yang dievaluasinya.",
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                }
              },
              "required": [
                "model",
                "answers",
                "usage"
              ],
              "type": "object"
            }
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Tarif dasar token",
            "units": [
              {
                "amount": "0.0002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000002",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0",
                "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": "Panjang permintaan · tingkat 1",
            "units": [
              {
                "amount": "0.0002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000002",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0",
                "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\": \"openai/gpt-6-luna-decisions\",\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']='openai/gpt-6-luna-decisions'\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": 0.2,
        "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": "0.0002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000002",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0",
                "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": "0.0002000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000002",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0",
                "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": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0",
                "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": "openai/gpt-6-luna-decisions",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [
          {
            "cache_read": 0,
            "cache_read_multiplier": null,
            "cache_write": 0,
            "cache_write_1h": null,
            "cache_write_multiplier": null,
            "created_at": "0001-01-01T00:00:00Z",
            "in": 0.2,
            "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": "0.0002000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.0000002",
            "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": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": "0",
            "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": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": "0",
            "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": "openai/gpt-6-luna-decisions",
        "request_model_id": "openai/gpt-6-luna-decisions",
        "route_label": "Ultra"
      }
    ],
    "name": "OpenAI: GPT-6 Luna Decisions",
    "price": {
      "in": 0.2,
      "in_label": null,
      "out": 0,
      "out_label": null,
      "scope_label": "Token rates",
      "sort_in": 0.2,
      "sort_out": 0,
      "varies": true
    },
    "pricing_profiles": [
      {
        "dimensions": {
          "regime": "base"
        },
        "label": "System One · Base token rates",
        "units": [
          {
            "amount": "0.0002000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.0000002",
            "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": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": "0",
            "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": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": "0",
            "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",
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