{
  "aboutHtml": "<p>Aura-2 ialah keluarga teks ke pertuturan Deepgram dengan suara dalam tujuh bahasa: Inggeris, Sepanyol, Jerman, Perancis, Belanda, Itali dan Jepun. Ia menukar teks yang diberikan kepada pertuturan untuk balasan khidmat pelanggan, menu telefon, penerangan dan narasi. Pengeluar menerangkan rentak, ekspresiviti dan kata pengisi perbualan sebagai respons kepada perkataan dan konteks teks yang diberikan.</p><h4>Padankan suara dengan bahasa dan tugas</h4><p>Setiap suara dikenal pasti melalui keluarga, penutur dan bahasanya. Katalog membezakan loghat dan ciri penyampaian dan bukannya menganggap semua penutur boleh saling menggantikan. Thalia ialah pilihan bahasa Inggeris Amerika yang bertenaga; Draco ialah suara British yang dikaitkan dengan penceritaan; Celeste ialah suara bahasa Sepanyol Colombia yang dikaitkan dengan kegunaan perbualan dan pengumuman. Pilih suara dengan mengambil kira skrip sebenar dan pendengar.</p><p>Suara bahasa Sepanyol tertentu menyokong pertukaran kod antara bahasa Inggeris dan Sepanyol: Aquila, Carina, Diana, Javier dan Selena. Keupayaan itu milik penutur yang dinamakan tersebut, bukannya setiap suara dalam keluarga ini. Untuk petikan campuran bahasa, kekalkan bahasa yang dimaksudkan bagi nama produk dan frasa petikan, serta dengar peralihannya dengan penutur yang profil terdokumentasinya menyokong tugas tersebut.</p><h4>Sediakan teks untuk pertuturan</h4><p>Panduan pemformatan Aura-2 mengesyorkan tanda baca pada penghujung ayat, tanda soal untuk soalan, koma untuk jeda yang semula jadi dan frasa pendek yang berdiri sendiri. Berikan teks pertuturan akhir, bukannya arahan yang meminta pensintesis menulis mesej. Skrip panduan awal yang berguna ialah: “Selamat datang. Pilih bahasa, kemudian pilih topik yang anda perlukan. Anda boleh mengulang arahan pada bila-bila masa.” Tanda baca memisahkan tindakan pendengar dan memberikan irama yang lebih jelas kepada model.</p><p>Eja pengecam sebagai huruf berasingan apabila ia mesti dibaca aksara demi aksara. Jelaskan akronim dan elakkan ayat panjang yang bersambung tanpa henti apabila beberapa syarat perlu diterangkan. Pengeluar turut mengesyorkan agar perkataan perintah diletakkan dalam tanda petikan dan sesuatu petikan dibaca kuat untuk diperiksa sebelum sintesis. Untuk narasi pendidikan atau produk, kekalkan istilah penting sambil menukar tajuk bertulis dan senarai padat kepada frasa pertuturan yang lengkap.</p><h4>Rentak dan sebutan</h4><p>Pengeluar mendokumenkan kawalan kelajuan dan sebutan IPA untuk bahasa Inggeris dan Sepanyol. Julat kadar pertuturan Aura-2 ialah 0.7 hingga 1.5; untuk bahasa Sepanyol, ia mengesyorkan 0.9 hingga 1.5 kerana tetapan yang lebih perlahan boleh menimbulkan ketidaklancaran pertuturan. Sebutan dan kelajuan boleh digabungkan dalam keluarga ini. Penggantian IPA boleh menyasarkan nama atau istilah khusus, dan konvensyen Aura-2 meletakkan penanda tekanan tepat sebelum vokal.</p><p>Spesifikasi kawalan sebutan membenarkan sehingga lima ratus penggantian, dengan setiap rentetan IPA tidak melebihi 128 aksara, serta mendokumenkan had teks input 2,000 aksara bagi aliran kerja itu. Aura-2 tidak menyokong ciri kawalan jeda eksplisit yang didokumenkan untuk Flux TTS. Gunakan struktur ayat dan tanda baca untuk menyediakan irama, dan bahagikan bahan yang lebih panjang kepada petikan yang koheren apabila aliran kerja pilihan memerlukannya.</p><h4>Penyampaian dan penggunaan audio</h4><p>Pengeluar menyediakan aliran kerja sintesis permintaan lengkap dan penstriman teks ke audio. Panduan medianya membezakan PCM, mu-law dan A-law penstriman mentah daripada pilihan output berasaskan fail seperti WAV, MP3, Opus, FLAC dan AAC. Tetapan lalai PCM/WAV yang didokumenkan untuk aliran kerja permintaan Aura ialah 24 kHz. Bekas fail, kadar pensampelan dan pengekodan membentuk gabungan yang sah; sambungan telefon dan fail narasi yang boleh dimuat turun mungkin memerlukan pilihan berbeza.</p><p>Aura-2 kekal sebagai keluarga yang berasingan daripada Aura generasi pertama dan Flux TTS. Keadaan merentas giliran Flux, maklum balas sampukan dan kawalan jeda khusus kelompoknya bukan ciri yang boleh disimpulkan daripada nama suara Aura-2. Output yang berguna ialah versi pertuturan skrip sebenar dalam bahasa, loghat dan perwakilan audio yang sesuai. Semak nama, pertukaran bahasa, rentak berpandukan tanda baca dan arahan penting bersama pendengar sasaran sebelum menggunakan semula rakaman.</p>",
  "aboutText": "Aura-2 ialah keluarga teks ke pertuturan Deepgram dengan suara dalam tujuh bahasa: Inggeris, Sepanyol, Jerman, Perancis, Belanda, Itali dan Jepun. Ia menukar teks yang diberikan kepada pertuturan untuk balasan khidmat pelanggan, menu telefon, penerangan dan narasi. Pengeluar menerangkan rentak, ekspresiviti dan kata pengisi perbualan sebagai respons kepada perkataan dan konteks teks yang diberikan.\n\n### Padankan suara dengan bahasa dan tugas\n\nSetiap suara dikenal pasti melalui keluarga, penutur dan bahasanya. Katalog membezakan loghat dan ciri penyampaian dan bukannya menganggap semua penutur boleh saling menggantikan. Thalia ialah pilihan bahasa Inggeris Amerika yang bertenaga; Draco ialah suara British yang dikaitkan dengan penceritaan; Celeste ialah suara bahasa Sepanyol Colombia yang dikaitkan dengan kegunaan perbualan dan pengumuman. Pilih suara dengan mengambil kira skrip sebenar dan pendengar.\n\nSuara bahasa Sepanyol tertentu menyokong pertukaran kod antara bahasa Inggeris dan Sepanyol: Aquila, Carina, Diana, Javier dan Selena. Keupayaan itu milik penutur yang dinamakan tersebut, bukannya setiap suara dalam keluarga ini. Untuk petikan campuran bahasa, kekalkan bahasa yang dimaksudkan bagi nama produk dan frasa petikan, serta dengar peralihannya dengan penutur yang profil terdokumentasinya menyokong tugas tersebut.\n\n### Sediakan teks untuk pertuturan\n\nPanduan pemformatan Aura-2 mengesyorkan tanda baca pada penghujung ayat, tanda soal untuk soalan, koma untuk jeda yang semula jadi dan frasa pendek yang berdiri sendiri. Berikan teks pertuturan akhir, bukannya arahan yang meminta pensintesis menulis mesej. Skrip panduan awal yang berguna ialah: “Selamat datang. Pilih bahasa, kemudian pilih topik yang anda perlukan. Anda boleh mengulang arahan pada bila-bila masa.” Tanda baca memisahkan tindakan pendengar dan memberikan irama yang lebih jelas kepada model.\n\nEja pengecam sebagai huruf berasingan apabila ia mesti dibaca aksara demi aksara. Jelaskan akronim dan elakkan ayat panjang yang bersambung tanpa henti apabila beberapa syarat perlu diterangkan. Pengeluar turut mengesyorkan agar perkataan perintah diletakkan dalam tanda petikan dan sesuatu petikan dibaca kuat untuk diperiksa sebelum sintesis. Untuk narasi pendidikan atau produk, kekalkan istilah penting sambil menukar tajuk bertulis dan senarai padat kepada frasa pertuturan yang lengkap.\n\n### Rentak dan sebutan\n\nPengeluar mendokumenkan kawalan kelajuan dan sebutan IPA untuk bahasa Inggeris dan Sepanyol. Julat kadar pertuturan Aura-2 ialah 0.7 hingga 1.5; untuk bahasa Sepanyol, ia mengesyorkan 0.9 hingga 1.5 kerana tetapan yang lebih perlahan boleh menimbulkan ketidaklancaran pertuturan. Sebutan dan kelajuan boleh digabungkan dalam keluarga ini. Penggantian IPA boleh menyasarkan nama atau istilah khusus, dan konvensyen Aura-2 meletakkan penanda tekanan tepat sebelum vokal.\n\nSpesifikasi kawalan sebutan membenarkan sehingga lima ratus penggantian, dengan setiap rentetan IPA tidak melebihi 128 aksara, serta mendokumenkan had teks input 2,000 aksara bagi aliran kerja itu. Aura-2 tidak menyokong ciri kawalan jeda eksplisit yang didokumenkan untuk Flux TTS. Gunakan struktur ayat dan tanda baca untuk menyediakan irama, dan bahagikan bahan yang lebih panjang kepada petikan yang koheren apabila aliran kerja pilihan memerlukannya.\n\n### Penyampaian dan penggunaan audio\n\nPengeluar menyediakan aliran kerja sintesis permintaan lengkap dan penstriman teks ke audio. Panduan medianya membezakan PCM, mu-law dan A-law penstriman mentah daripada pilihan output berasaskan fail seperti WAV, MP3, Opus, FLAC dan AAC. Tetapan lalai PCM/WAV yang didokumenkan untuk aliran kerja permintaan Aura ialah 24 kHz. Bekas fail, kadar pensampelan dan pengekodan membentuk gabungan yang sah; sambungan telefon dan fail narasi yang boleh dimuat turun mungkin memerlukan pilihan berbeza.\n\nAura-2 kekal sebagai keluarga yang berasingan daripada Aura generasi pertama dan Flux TTS. Keadaan merentas giliran Flux, maklum balas sampukan dan kawalan jeda khusus kelompoknya bukan ciri yang boleh disimpulkan daripada nama suara Aura-2. Output yang berguna ialah versi pertuturan skrip sebenar dalam bahasa, loghat dan perwakilan audio yang sesuai. Semak nama, pertukaran bahasa, rentak berpandukan tanda baca dan arahan penting bersama pendengar sasaran sebelum menggunakan semula rakaman.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">Deepgram: Aura-2</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Tutup\">×</button></div><div class=\"idline\"><span>Deepgram /</span><code>deepgram/aura-2</code><button type=\"button\" id=\"copy-id\">Salin ID</button></div><nav class=\"card-jump-nav\" aria-label=\"Bahagian kad model\"><button type=\"button\" data-card-jump=\"overview\">Pengenalan</button><button type=\"button\" data-card-jump=\"methods\">Input &amp; kaedah</button><button type=\"button\" data-card-jump=\"pricing\">Pelan harga</button><button type=\"button\" data-card-jump=\"examples\">Contoh</button><button type=\"button\" data-card-jump=\"results\">Hasil</button><button type=\"button\" data-card-jump=\"aliases\">Alias</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"Kaedah API\"><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-0\" data-card-method=\"Ultra|speech|/v1/audio/speech|deepgram%2Faura-2\">Penjanaan suara</button></div><div id=\"card-method-content\" role=\"tabpanel\" aria-labelledby=\"card-method-tab-0\"><section class=\"card-section\" data-card-section=\"overview\"><h3 tabindex=\"-1\">Pengenalan</h3><p class=\"mdesc-full\">Deepgram Aura-2 menjana pertuturan dalam bahasa Inggeris, Sepanyol, Jerman, Perancis, Belanda, Itali dan Jepun. Katalog suaranya, rentak yang mengikuti teks dan kawalan sebutan khusus bahasa menyokong arahan pertuturan, narasi dan aplikasi berbilang bahasa.</p><dl class=\"card-io\" data-card-io><div><dt>Input yang diterima</dt><dd>Teks</dd></div><div><dt>Hasil</dt><dd>Audio</dd></div></dl><details class=\"card-about\"><summary>Tentang model</summary><p class=\"note-s\" data-model-method-boundary>Huraian ini merangkumi keupayaan model. Input, output dan pilihan yang tersedia di Ailoot disenaraikan di bawah untuk kaedah yang dipilih.</p><div class=\"mabout\" id=\"m-about\"><p>Aura-2 ialah keluarga teks ke pertuturan Deepgram dengan suara dalam tujuh bahasa: Inggeris, Sepanyol, Jerman, Perancis, Belanda, Itali dan Jepun. Ia menukar teks yang diberikan kepada pertuturan untuk balasan khidmat pelanggan, menu telefon, penerangan dan narasi. Pengeluar menerangkan rentak, ekspresiviti dan kata pengisi perbualan sebagai respons kepada perkataan dan konteks teks yang diberikan.</p><h4>Padankan suara dengan bahasa dan tugas</h4><p>Setiap suara dikenal pasti melalui keluarga, penutur dan bahasanya. Katalog membezakan loghat dan ciri penyampaian dan bukannya menganggap semua penutur boleh saling menggantikan. Thalia ialah pilihan bahasa Inggeris Amerika yang bertenaga; Draco ialah suara British yang dikaitkan dengan penceritaan; Celeste ialah suara bahasa Sepanyol Colombia yang dikaitkan dengan kegunaan perbualan dan pengumuman. Pilih suara dengan mengambil kira skrip sebenar dan pendengar.</p><p>Suara bahasa Sepanyol tertentu menyokong pertukaran kod antara bahasa Inggeris dan Sepanyol: Aquila, Carina, Diana, Javier dan Selena. Keupayaan itu milik penutur yang dinamakan tersebut, bukannya setiap suara dalam keluarga ini. Untuk petikan campuran bahasa, kekalkan bahasa yang dimaksudkan bagi nama produk dan frasa petikan, serta dengar peralihannya dengan penutur yang profil terdokumentasinya menyokong tugas tersebut.</p><h4>Sediakan teks untuk pertuturan</h4><p>Panduan pemformatan Aura-2 mengesyorkan tanda baca pada penghujung ayat, tanda soal untuk soalan, koma untuk jeda yang semula jadi dan frasa pendek yang berdiri sendiri. Berikan teks pertuturan akhir, bukannya arahan yang meminta pensintesis menulis mesej. Skrip panduan awal yang berguna ialah: “Selamat datang. Pilih bahasa, kemudian pilih topik yang anda perlukan. Anda boleh mengulang arahan pada bila-bila masa.” Tanda baca memisahkan tindakan pendengar dan memberikan irama yang lebih jelas kepada model.</p><p>Eja pengecam sebagai huruf berasingan apabila ia mesti dibaca aksara demi aksara. Jelaskan akronim dan elakkan ayat panjang yang bersambung tanpa henti apabila beberapa syarat perlu diterangkan. Pengeluar turut mengesyorkan agar perkataan perintah diletakkan dalam tanda petikan dan sesuatu petikan dibaca kuat untuk diperiksa sebelum sintesis. Untuk narasi pendidikan atau produk, kekalkan istilah penting sambil menukar tajuk bertulis dan senarai padat kepada frasa pertuturan yang lengkap.</p><h4>Rentak dan sebutan</h4><p>Pengeluar mendokumenkan kawalan kelajuan dan sebutan IPA untuk bahasa Inggeris dan Sepanyol. Julat kadar pertuturan Aura-2 ialah 0.7 hingga 1.5; untuk bahasa Sepanyol, ia mengesyorkan 0.9 hingga 1.5 kerana tetapan yang lebih perlahan boleh menimbulkan ketidaklancaran pertuturan. Sebutan dan kelajuan boleh digabungkan dalam keluarga ini. Penggantian IPA boleh menyasarkan nama atau istilah khusus, dan konvensyen Aura-2 meletakkan penanda tekanan tepat sebelum vokal.</p><p>Spesifikasi kawalan sebutan membenarkan sehingga lima ratus penggantian, dengan setiap rentetan IPA tidak melebihi 128 aksara, serta mendokumenkan had teks input 2,000 aksara bagi aliran kerja itu. Aura-2 tidak menyokong ciri kawalan jeda eksplisit yang didokumenkan untuk Flux TTS. Gunakan struktur ayat dan tanda baca untuk menyediakan irama, dan bahagikan bahan yang lebih panjang kepada petikan yang koheren apabila aliran kerja pilihan memerlukannya.</p><h4>Penyampaian dan penggunaan audio</h4><p>Pengeluar menyediakan aliran kerja sintesis permintaan lengkap dan penstriman teks ke audio. Panduan medianya membezakan PCM, mu-law dan A-law penstriman mentah daripada pilihan output berasaskan fail seperti WAV, MP3, Opus, FLAC dan AAC. Tetapan lalai PCM/WAV yang didokumenkan untuk aliran kerja permintaan Aura ialah 24 kHz. Bekas fail, kadar pensampelan dan pengekodan membentuk gabungan yang sah; sambungan telefon dan fail narasi yang boleh dimuat turun mungkin memerlukan pilihan berbeza.</p><p>Aura-2 kekal sebagai keluarga yang berasingan daripada Aura generasi pertama dan Flux TTS. Keadaan merentas giliran Flux, maklum balas sampukan dan kawalan jeda khusus kelompoknya bukan ciri yang boleh disimpulkan daripada nama suara Aura-2. Output yang berguna ialah versi pertuturan skrip sebenar dalam bahasa, loghat dan perwakilan audio yang sesuai. Semak nama, pertukaran bahasa, rentak berpandukan tanda baca dan arahan penting bersama pendengar sasaran sebelum menggunakan semula rakaman.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Tersedia di Ailoot · input &amp; kaedah</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · Penjanaan suara</b> <code>POST /v1/audio/speech</code></summary><dl class=\"method-capabilities\"><div><dt>Input</dt><dd><code>text</code></dd></div><div><dt>Output</dt><dd><code>audio</code></dd></div><div><dt>Format output</dt><dd>mp3</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Medan</th><th>Jenis</th><th>Keperluan</th><th>Nilai &amp; had</th><th>Lalai</th></tr></thead><tbody><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>string</code></td><td data-cell-label=\"Keperluan\"><span class=\"card-cell-label\">Keperluan</span>Diperlukan</td><td data-cell-label=\"Nilai &amp; had\"><span class=\"card-cell-label\">Nilai &amp; had</span><div>deepgram/aura-2</div></td><td data-cell-label=\"Lalai\" data-default=\"unspecified\"><span class=\"card-cell-label\">Lalai</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">input</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>string</code></td><td data-cell-label=\"Keperluan\"><span class=\"card-cell-label\">Keperluan</span>Diperlukan</td><td data-cell-label=\"Nilai &amp; had\"><span class=\"card-cell-label\">Nilai &amp; had</span><div>Panjang minimum: 1</div><div>Unit: aksara Unicode</div></td><td data-cell-label=\"Lalai\" data-default=\"unspecified\"><span class=\"card-cell-label\">Lalai</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">voice</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>string</code></td><td data-cell-label=\"Keperluan\"><span class=\"card-cell-label\">Keperluan</span>Diperlukan</td><td data-cell-label=\"Nilai &amp; had\"><span class=\"card-cell-label\">Nilai &amp; had</span><div>aura-2-thalia-en, aura-2-agathe-fr, aura-2-agustina-es, aura-2-alvaro-es, aura-2-ama-ja, aura-2-amalthea-en, aura-2-andromeda-en, aura-2-antonia-es, aura-2-apollo-en, aura-2-aquila-es, aura-2-arcas-en, aura-2-aries-en, aura-2-asteria-en, aura-2-athena-en, aura-2-atlas-en, aura-2-aurelia-de, aura-2-aurora-en, aura-2-beatrix-nl, aura-2-callista-en, aura-2-carina-es, aura-2-celeste-es, aura-2-cesare-it, aura-2-cinzia-it, aura-2-cora-en, aura-2-cordelia-en, aura-2-cornelia-nl, aura-2-daphne-nl, aura-2-delia-en, aura-2-demetra-it, aura-2-diana-es, aura-2-dionisio-it, aura-2-draco-en, aura-2-ebisu-ja, aura-2-elara-de, aura-2-electra-en, aura-2-elio-it, aura-2-estrella-es, aura-2-fabian-de, aura-2-flavio-it, aura-2-fujin-ja, aura-2-gloria-es, aura-2-harmonia-en, aura-2-hector-fr, aura-2-helena-en, aura-2-hera-en, aura-2-hermes-en, aura-2-hestia-nl, aura-2-hyperion-en, aura-2-iris-en, aura-2-izanami-ja, aura-2-janus-en, aura-2-javier-es, aura-2-julius-de, aura-2-juno-en, aura-2-jupiter-en, aura-2-kara-de, aura-2-lara-de, aura-2-lars-nl, aura-2-leda-nl, aura-2-livia-it, aura-2-luciano-es, aura-2-luna-en, aura-2-maia-it, aura-2-mars-en, aura-2-melia-it, aura-2-minerva-en, aura-2-neptune-en, aura-2-nestor-es, aura-2-odysseus-en, aura-2-olivia-es, aura-2-ophelia-en, aura-2-orion-en, aura-2-orpheus-en, aura-2-pandora-en, aura-2-phoebe-en, aura-2-pluto-en, aura-2-rhea-nl, aura-2-roman-nl, aura-2-sander-nl, aura-2-saturn-en, aura-2-selena-es, aura-2-selene-en, aura-2-silvia-es, aura-2-sirio-es, aura-2-theia-en, aura-2-uzume-ja, aura-2-valerio-es, aura-2-vesta-en, aura-2-viktoria-de, aura-2-zeus-en</div></td><td data-cell-label=\"Lalai\" data-default=\"unspecified\"><span class=\"card-cell-label\">Lalai</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">response_format</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>string</code></td><td data-cell-label=\"Keperluan\"><span class=\"card-cell-label\">Keperluan</span>Diperlukan</td><td data-cell-label=\"Nilai &amp; had\"><span class=\"card-cell-label\">Nilai &amp; had</span><div>mp3</div></td><td data-cell-label=\"Lalai\" data-default=\"unspecified\"><span class=\"card-cell-label\">Lalai</span>—</td></tr></tbody></table></div><details class=\"card-about\" data-material-combinations><summary>Gabungan bahan input</summary><p class=\"note-s\"><b>text_to_speech</b> · Diperlukan: input</p></details><details class=\"note-s\" data-method-contract><summary>Parameter kaedah dan kitar hayat</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parameter</th><th>Kontrak</th></tr></thead><tbody><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>content_type</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>application/json</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>required</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>model, input, voice, response_format</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>voice_ids</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>aura-2-thalia-en, aura-2-agathe-fr, aura-2-agustina-es, aura-2-alvaro-es, aura-2-ama-ja, aura-2-amalthea-en, aura-2-andromeda-en, aura-2-antonia-es, aura-2-apollo-en, aura-2-aquila-es, aura-2-arcas-en, aura-2-aries-en, aura-2-asteria-en, aura-2-athena-en, aura-2-atlas-en, aura-2-aurelia-de, aura-2-aurora-en, aura-2-beatrix-nl, aura-2-callista-en, aura-2-carina-es, aura-2-celeste-es, aura-2-cesare-it, aura-2-cinzia-it, aura-2-cora-en, aura-2-cordelia-en, aura-2-cornelia-nl, aura-2-daphne-nl, aura-2-delia-en, aura-2-demetra-it, aura-2-diana-es, aura-2-dionisio-it, aura-2-draco-en, aura-2-ebisu-ja, aura-2-elara-de, aura-2-electra-en, aura-2-elio-it, aura-2-estrella-es, aura-2-fabian-de, aura-2-flavio-it, aura-2-fujin-ja, aura-2-gloria-es, aura-2-harmonia-en, aura-2-hector-fr, aura-2-helena-en, aura-2-hera-en, aura-2-hermes-en, aura-2-hestia-nl, aura-2-hyperion-en, aura-2-iris-en, aura-2-izanami-ja, aura-2-janus-en, aura-2-javier-es, aura-2-julius-de, aura-2-juno-en, aura-2-jupiter-en, aura-2-kara-de, aura-2-lara-de, aura-2-lars-nl, aura-2-leda-nl, aura-2-livia-it, aura-2-luciano-es, aura-2-luna-en, aura-2-maia-it, aura-2-mars-en, aura-2-melia-it, aura-2-minerva-en, aura-2-neptune-en, aura-2-nestor-es, aura-2-odysseus-en, aura-2-olivia-es, aura-2-ophelia-en, aura-2-orion-en, aura-2-orpheus-en, aura-2-pandora-en, aura-2-phoebe-en, aura-2-pluto-en, aura-2-rhea-nl, aura-2-roman-nl, aura-2-sander-nl, aura-2-saturn-en, aura-2-selena-es, aura-2-selene-en, aura-2-silvia-es, aura-2-sirio-es, aura-2-theia-en, aura-2-uzume-ja, aura-2-valerio-es, aura-2-vesta-en, aura-2-viktoria-de, aura-2-zeus-en</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>response_format</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>mp3</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>max_input_characters</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>null</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>other_options</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>false</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>input</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>teks UTF-8 tepat; kiraan aksara Unicode tanpa penormalan</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>material_types</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>text</td></tr></tbody></table></div><p>Kitar hayat: <code>synchronous_result_then_owned_library</code></p><p class=\"note-s\"><code>GET /v1/media/tasks/{task_id}</code> · task_id sebenar yang dikembalikan atau rekod pustaka media</p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}/content</code></p><p class=\"note-s\"><code>GET /v1/media/assets</code></p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}</code></p><p class=\"note-s\">Pilih suara yang tepat daripada profil model ini.</p><p class=\"note-s\">Aksara input dan saat audio ialah ukuran penggunaan yang berbeza.</p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Pelan harga</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Rujukan tarif tidak menambah pilihan permintaan. Parameter yang disokong disenaraikan untuk kaedah yang dipilih.</p><dl data-price-conditions><dt>Mod pantas</dt><dd>Tidak dinyatakan <span class=\"note-s\">Apabila mod pantas dipilih</span></dd><dt>Mod flex</dt><dd>Tidak dinyatakan <span class=\"note-s\">Apabila mod flex dipilih</span></dd><dt>Usaha penaakulan maksimum</dt><dd>Tidak dinyatakan <span class=\"note-s\">Apabila usaha penaakulan maksimum menggunakan pelarasan default</span></dd></dl></div><div data-declared-tariff-pricing><h4>Kadar Ailoot</h4><h4>Harga mengikut konfigurasi</h4><p class=\"note-s\">Padankan setiap caj dengan syarat yang dipaparkan. Gunakan satu kadar bagi setiap set konfigurasi alternatif.</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Konfigurasi</th><th>Jadual kadar</th><th>Unit pengebilan</th><th>Caj</th></tr></thead><tbody><tr><th data-cell-label=\"Konfigurasi\" scope=\"row\"><span class=\"card-cell-label\">Konfigurasi</span>Kadar asas token</th><td data-cell-label=\"Jadual kadar\"><span class=\"card-cell-label\">Jadual kadar</span>Kadar asas</td><td data-cell-label=\"Unit pengebilan\"><span class=\"card-cell-label\">Unit pengebilan</span>—</td><td data-cell-label=\"Caj\"><span class=\"card-cell-label\">Caj</span><div><span>Input · Token input</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Output · Token output</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Input · Bacaan cache</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Input · Penulisan cache</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Input · Penulisan cache, 1 jam</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr><tr><th data-cell-label=\"Konfigurasi\" scope=\"row\"><span class=\"card-cell-label\">Konfigurasi</span>aksara input</th><td data-cell-label=\"Jadual kadar\"><span class=\"card-cell-label\">Jadual kadar</span>—</td><td data-cell-label=\"Unit pengebilan\"><span class=\"card-cell-label\">Unit pengebilan</span>bagi setiap aksara masukan</td><td data-cell-label=\"Caj\"><span class=\"card-cell-label\">Caj</span><div><span>Input · aksara input</span> <b>$0.00006</b> <span class=\"price-unit\">bagi setiap aksara masukan</span></div></td></tr></tbody></table></div></div><div data-declared-reference-pricing><h4>Butiran tarif rujukan</h4><p class=\"note-s\">Jadual rujukan peringkat model tidak mengubah pemilihan kaedah, sebut harga atau caj. Caj aktif menggunakan kadar kaedah Ailoot yang dipilih.</p><details class=\"card-price-reference\" data-declared-reference-group data-client-selectable=\"false\"><summary>Deepgram: Aura-2</summary><h4>Harga mengikut konfigurasi</h4><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Konfigurasi</th><th>Syarat pengebilan</th><th>Caj</th></tr></thead><tbody><tr><th data-cell-label=\"Konfigurasi\" scope=\"row\"><span class=\"card-cell-label\">Konfigurasi</span>Deepgram: Aura-2 · Konfigurasi lalai</th><td data-cell-label=\"Syarat pengebilan\"><span class=\"card-cell-label\">Syarat pengebilan</span>Konfigurasi lalai</td><td data-cell-label=\"Caj\"><span class=\"card-cell-label\">Caj</span><div><span>Input · Aksara input</span> <b>USD 0.00006</b> <span class=\"price-unit\">bagi setiap aksara masukan</span></div></td></tr></tbody></table></div></details></div><p class=\"note-s\">Ailoot merizabkan anggaran amaun sebelum permintaan. Selepas hasil diterima, caj akhir diselesaikan berdasarkan penggunaan terukur. Penyelesaian caj penstriman menggunakan rekod penggunaan akhir. <a href=\"/docs/ms/billing/reserve/\">Cara rizab dan penyelesaian caj berfungsi →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">Contoh permintaan</h3><h4>Ailoot Ultra · Penjanaan suara</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Pilihan kod\"><button class=\"cg-tab\" id=\"model-code-1196-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1196-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Salin kod\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-1196-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1196-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_VOICE_ID:?Choose an accepted voice ID from this exact model profile}&quot;\nexport AILOOT_VOICE_ID\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np=json.loads(&#39;{&quot;model&quot;: &quot;deepgram/aura-2&quot;, &quot;input&quot;: &quot;Good afternoon! This is a short voice take.&quot;}&#39;)\nvoice=os.environ[&quot;AILOOT_VOICE_ID&quot;]\nallowed=json.loads(&#39;[&quot;aura-2-thalia-en&quot;, &quot;aura-2-agathe-fr&quot;, &quot;aura-2-agustina-es&quot;, &quot;aura-2-alvaro-es&quot;, &quot;aura-2-ama-ja&quot;, &quot;aura-2-amalthea-en&quot;, &quot;aura-2-andromeda-en&quot;, &quot;aura-2-antonia-es&quot;, &quot;aura-2-apollo-en&quot;, &quot;aura-2-aquila-es&quot;, &quot;aura-2-arcas-en&quot;, &quot;aura-2-aries-en&quot;, &quot;aura-2-asteria-en&quot;, &quot;aura-2-athena-en&quot;, &quot;aura-2-atlas-en&quot;, &quot;aura-2-aurelia-de&quot;, &quot;aura-2-aurora-en&quot;, &quot;aura-2-beatrix-nl&quot;, &quot;aura-2-callista-en&quot;, &quot;aura-2-carina-es&quot;, &quot;aura-2-celeste-es&quot;, &quot;aura-2-cesare-it&quot;, &quot;aura-2-cinzia-it&quot;, &quot;aura-2-cora-en&quot;, &quot;aura-2-cordelia-en&quot;, &quot;aura-2-cornelia-nl&quot;, &quot;aura-2-daphne-nl&quot;, &quot;aura-2-delia-en&quot;, &quot;aura-2-demetra-it&quot;, &quot;aura-2-diana-es&quot;, &quot;aura-2-dionisio-it&quot;, &quot;aura-2-draco-en&quot;, &quot;aura-2-ebisu-ja&quot;, &quot;aura-2-elara-de&quot;, &quot;aura-2-electra-en&quot;, &quot;aura-2-elio-it&quot;, &quot;aura-2-estrella-es&quot;, &quot;aura-2-fabian-de&quot;, &quot;aura-2-flavio-it&quot;, &quot;aura-2-fujin-ja&quot;, &quot;aura-2-gloria-es&quot;, &quot;aura-2-harmonia-en&quot;, &quot;aura-2-hector-fr&quot;, &quot;aura-2-helena-en&quot;, &quot;aura-2-hera-en&quot;, &quot;aura-2-hermes-en&quot;, &quot;aura-2-hestia-nl&quot;, &quot;aura-2-hyperion-en&quot;, &quot;aura-2-iris-en&quot;, &quot;aura-2-izanami-ja&quot;, &quot;aura-2-janus-en&quot;, &quot;aura-2-javier-es&quot;, &quot;aura-2-julius-de&quot;, &quot;aura-2-juno-en&quot;, &quot;aura-2-jupiter-en&quot;, &quot;aura-2-kara-de&quot;, &quot;aura-2-lara-de&quot;, &quot;aura-2-lars-nl&quot;, &quot;aura-2-leda-nl&quot;, &quot;aura-2-livia-it&quot;, &quot;aura-2-luciano-es&quot;, &quot;aura-2-luna-en&quot;, &quot;aura-2-maia-it&quot;, &quot;aura-2-mars-en&quot;, &quot;aura-2-melia-it&quot;, &quot;aura-2-minerva-en&quot;, &quot;aura-2-neptune-en&quot;, &quot;aura-2-nestor-es&quot;, &quot;aura-2-odysseus-en&quot;, &quot;aura-2-olivia-es&quot;, &quot;aura-2-ophelia-en&quot;, &quot;aura-2-orion-en&quot;, &quot;aura-2-orpheus-en&quot;, &quot;aura-2-pandora-en&quot;, &quot;aura-2-phoebe-en&quot;, &quot;aura-2-pluto-en&quot;, &quot;aura-2-rhea-nl&quot;, &quot;aura-2-roman-nl&quot;, &quot;aura-2-sander-nl&quot;, &quot;aura-2-saturn-en&quot;, &quot;aura-2-selena-es&quot;, &quot;aura-2-selene-en&quot;, &quot;aura-2-silvia-es&quot;, &quot;aura-2-sirio-es&quot;, &quot;aura-2-theia-en&quot;, &quot;aura-2-uzume-ja&quot;, &quot;aura-2-valerio-es&quot;, &quot;aura-2-vesta-en&quot;, &quot;aura-2-viktoria-de&quot;, &quot;aura-2-zeus-en&quot;]&#39;)\nif voice not in allowed: raise SystemExit(&quot;Choose an accepted voice ID from this exact model profile&quot;)\np[&quot;voice&quot;]=voice\np[&quot;response_format&quot;]=&quot;mp3&quot;\nPath(&quot;request.json&quot;).write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/speech \\\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 speech.mp3\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 · Penjanaan suara</h4><p class=\"note-s\">mp3</p><ul class=\"card-result-paths\"><li><code>GET /v1/media/tasks/{task_id}</code></li><li><code>GET /v1/media/assets/{asset_id}/content</code></li><li><code>GET /v1/media/assets</code></li><li><code>GET /v1/media/assets/{asset_id}</code></li></ul><details class=\"card-about\"><summary>Pembacaan kandungan lain</summary><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Pilihan kod\"><button class=\"cg-tab\" id=\"model-code-1197-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1197-panel-0\" aria-selected=\"true\" tabindex=\"0\">Pustaka media</button><button class=\"cg-tab\" id=\"model-code-1197-tab-1\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1197-panel-1\" aria-selected=\"false\" tabindex=\"-1\">Status tugas</button><button class=\"cg-tab\" id=\"model-code-1197-tab-2\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1197-panel-2\" aria-selected=\"false\" tabindex=\"-1\">Butiran aset</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Salin kod\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-1197-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1197-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -o media-assets.json\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-1197-panel-1\" role=\"tabpanel\" aria-labelledby=\"model-code-1197-tab-1\" hidden><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_MEDIA_TASK_ID:?Set the actual ID returned by the response or media-library metadata}&quot;\nexport AILOOT_MEDIA_TASK_ID\nresource_id=$(python3 -c &#39;import os,urllib.parse;print(urllib.parse.quote(os.environ[&quot;AILOOT_MEDIA_TASK_ID&quot;],safe=&quot;&quot;))&#39;)\ncurl --fail-with-body --silent --show-error &quot;https://api.ailoot.ai/v1/media/tasks/$resource_id&quot; \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -o media-task.json\npython3 - &lt;&lt;&#39;PY_RESULT&#39;\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(&quot;media-task.json&quot;).read_text())))\nPY_RESULT\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-1197-panel-2\" role=\"tabpanel\" aria-labelledby=\"model-code-1197-tab-2\" hidden><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_ASSET_ID:?Set the actual ID returned by the response or media-library metadata}&quot;\nexport AILOOT_ASSET_ID\nresource_id=$(python3 -c &#39;import os,urllib.parse;print(urllib.parse.quote(os.environ[&quot;AILOOT_ASSET_ID&quot;],safe=&quot;&quot;))&#39;)\ncurl --fail-with-body --silent --show-error &quot;https://api.ailoot.ai/v1/media/assets/$resource_id&quot; \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -o media-asset.json\npython3 - &lt;&lt;&#39;PY_RESULT&#39;\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(&quot;media-asset.json&quot;).read_text())))\nPY_RESULT\n</code></pre></div></div></div></details><div class=\"card-result-process\" data-all-results><h5>Simpan semua hasil yang selesai</h5><p class=\"note-s\">Simpan setiap respons lengkap, fail dan bahagian kandungan yang dikembalikan.</p><p class=\"note-s\">Simpan hasil binari dan pengepala yang lengkap. Jika JSON atau berbilang output dikembalikan, simpan setiap item data dan dapatkan setiap URL aset bertandatangan yang sebenar.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Jika respons asal perlu disemak</h5><p class=\"note-s\">Simpan operation_id/X-Client-Request-ID asal untuk penyelarasan rekod tanpa penghantaran semula; tiada laluan khusus untuk meninjau status audio.</p></div><details class=\"card-about\" data-output-fields><summary>Medan respons</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>Medan</th><th>Jenis</th></tr></thead><tbody><tr><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">binary audio</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>bytes</td></tr><tr><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">response headers</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span>headers</td></tr></tbody></table></div></details><details class=\"card-about\" data-method-errors><summary>Ralat dan langkah seterusnya</summary><div class=\"tw\" data-card-table=\"errors\"><table><thead><tr><th>Respons</th><th>Syarat</th><th>Langkah seterusnya</th></tr></thead><tbody><tr><th data-cell-label=\"Respons\" scope=\"row\"><span class=\"card-cell-label\">Respons</span>400 · <code>invalid_request_error</code></th><td data-cell-label=\"Syarat\"><span class=\"card-cell-label\">Syarat</span>Medan wajib, perwakilan bahan atau nilai parameter tidak sah</td><td data-cell-label=\"Langkah seterusnya\"><span class=\"card-cell-label\">Langkah seterusnya</span>Betulkan medan yang ditunjukkan sebelum permintaan penciptaan baharu.</td></tr><tr><th data-cell-label=\"Respons\" scope=\"row\"><span class=\"card-cell-label\">Respons</span><code>server_error</code></th><td data-cell-label=\"Syarat\"><span class=\"card-cell-label\">Syarat</span>Respons yang dikembalikan menyatakan bahawa operasi atau hasil memerlukan semakan</td><td data-cell-label=\"Langkah seterusnya\"><span class=\"card-cell-label\">Langkah seterusnya</span>Simpan ID operasi/tugas asal yang dikembalikan, pengepala permintaan dan respons; teruskan pembacaan yang disokong bagi operasi asal tersebut. Jangan hantar semula permintaan penciptaan.</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=deepgram%2Faura-2&amp;route=Ultra&amp;caller=deepgram%2Faura-2&amp;fmt=speech\"><code>deepgram/aura-2</code></a></span></p><h4>Alias laluan kaedah</h4><p class=\"note-s\">Gunakan laluan kaedah yang dipaparkan di atas.</p><h4>ID pemanggil berkaitan</h4><p class=\"note-s\"><a href=\"#m=deepgram%2Faura-2&amp;route=Ultra&amp;caller=deepgram%2Faura-2&amp;fmt=speech\"><code>deepgram/aura-2</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "deepgram/aura-2",
        "fmt": "speech",
        "http": "POST",
        "path": "/v1/audio/speech",
        "request_model_id": "deepgram/aura-2",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|speech|/v1/audio/speech|deepgram%2Faura-2",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Keep the complete binary result and headers. If JSON/multiple outputs are returned, retain every data item and fetch each actual signed asset URL.",
            "errors": [
              {
                "code": null,
                "condition": "Medan wajib, perwakilan bahan atau nilai parameter tidak sah",
                "http_status": 400,
                "recovery": "Betulkan medan yang ditunjukkan sebelum permintaan penciptaan baharu.",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "Respons yang dikembalikan menyatakan bahawa operasi atau hasil memerlukan semakan",
                "http_status": null,
                "recovery": "Simpan ID operasi/tugas asal yang dikembalikan, pengepala permintaan dan respons; teruskan pembacaan yang disokong bagi operasi asal tersebut. Jangan hantar semula permintaan penciptaan.",
                "type": "server_error"
              }
            ],
            "hints": [],
            "ignored_fields": [],
            "lifecycle": {
              "all_results": "Follow everyactualreturnedoutputandownedasset; no result is discardedbecauseindex0orcontent_urlalreadyexists.",
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed URL; never construct token"
                }
              ],
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "status": [
                {
                  "http": "GET",
                  "id_source": "actual returned task_id or media library record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "Simpan operation_id/X-Client-Request-ID asal untuk penyelarasan rekod tanpa penghantaran semula; tiada laluan khusus untuk meninjau status audio."
            },
            "material_combinations": [
              {
                "content_type": "application/json",
                "mode": "text_to_speech",
                "required": [
                  "input"
                ]
              }
            ],
            "media_library": {
              "asset": {
                "fields": [
                  {
                    "description": null,
                    "name": "asset_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "task_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "output_key",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "family",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "model",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "method",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "status",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "content_type",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "sha256",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "size_bytes",
                    "type": "integer"
                  },
                  {
                    "description": null,
                    "name": "content_url",
                    "type": "string"
                  }
                ],
                "http": "GET",
                "id_source": "actual returned asset_id",
                "path": "/v1/media/assets/{asset_id}"
              },
              "content": {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "range_header_supported": true,
                "url_source": "Use exact returned signed content_url including its token; do not construct a token."
              },
              "expired_link": {
                "code": "link_expired",
                "http_status": 404,
                "recovery": "Read the asset again to obtain its refreshed signed content_url, then fetch that URL. Do not regenerate."
              },
              "list": {
                "all_pages": "Follow every returned next_cursor, then select records by their actual task_id/output_key.",
                "http": "GET",
                "output_fields": [
                  {
                    "description": null,
                    "name": "object",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "data",
                    "type": "asset[]"
                  },
                  {
                    "description": null,
                    "name": "next_cursor",
                    "type": "string|null"
                  }
                ],
                "parameters": [
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "family",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "cursor",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": 20,
                    "default_known": true,
                    "enum": null,
                    "enum_known": false,
                    "maximum": 100,
                    "minimum": 1,
                    "name": "limit",
                    "required": false,
                    "type": "integer"
                  }
                ],
                "path": "/v1/media/assets"
              },
              "revoke": {
                "http": "DELETE",
                "meaning": "Revokes/deletes the existing owned file; this is not generation cancellation.",
                "path": "/v1/media/assets/{asset_id}",
                "pending_status": "revoking",
                "success_statuses": [
                  202,
                  204
                ]
              },
              "task": {
                "http": "GET",
                "id_source": "actual returned task_id or media library record; operation_id is not task_id",
                "path": "/v1/media/tasks/{task_id}"
              }
            },
            "operation_modes": [
              "text_to_speech"
            ],
            "outputs": {
              "all_results": "Simpan hasil binari dan pengepala yang lengkap. Jika JSON atau berbilang output dikembalikan, simpan setiap item data dan dapatkan setiap URL aset bertandatangan yang sebenar.",
              "family": "audio",
              "fields": [
                {
                  "description": null,
                  "name": "binary audio",
                  "type": "bytes"
                },
                {
                  "description": null,
                  "name": "response headers",
                  "type": "headers"
                }
              ],
              "format": "mp3",
              "http_success": 200
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "deepgram/aura-2"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "limit_known": false,
                "maximum_length": null,
                "min_length": 1,
                "name": "input",
                "required": true,
                "type": "string",
                "unit": "aksara Unicode"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "aura-2-thalia-en",
                  "aura-2-agathe-fr",
                  "aura-2-agustina-es",
                  "aura-2-alvaro-es",
                  "aura-2-ama-ja",
                  "aura-2-amalthea-en",
                  "aura-2-andromeda-en",
                  "aura-2-antonia-es",
                  "aura-2-apollo-en",
                  "aura-2-aquila-es",
                  "aura-2-arcas-en",
                  "aura-2-aries-en",
                  "aura-2-asteria-en",
                  "aura-2-athena-en",
                  "aura-2-atlas-en",
                  "aura-2-aurelia-de",
                  "aura-2-aurora-en",
                  "aura-2-beatrix-nl",
                  "aura-2-callista-en",
                  "aura-2-carina-es",
                  "aura-2-celeste-es",
                  "aura-2-cesare-it",
                  "aura-2-cinzia-it",
                  "aura-2-cora-en",
                  "aura-2-cordelia-en",
                  "aura-2-cornelia-nl",
                  "aura-2-daphne-nl",
                  "aura-2-delia-en",
                  "aura-2-demetra-it",
                  "aura-2-diana-es",
                  "aura-2-dionisio-it",
                  "aura-2-draco-en",
                  "aura-2-ebisu-ja",
                  "aura-2-elara-de",
                  "aura-2-electra-en",
                  "aura-2-elio-it",
                  "aura-2-estrella-es",
                  "aura-2-fabian-de",
                  "aura-2-flavio-it",
                  "aura-2-fujin-ja",
                  "aura-2-gloria-es",
                  "aura-2-harmonia-en",
                  "aura-2-hector-fr",
                  "aura-2-helena-en",
                  "aura-2-hera-en",
                  "aura-2-hermes-en",
                  "aura-2-hestia-nl",
                  "aura-2-hyperion-en",
                  "aura-2-iris-en",
                  "aura-2-izanami-ja",
                  "aura-2-janus-en",
                  "aura-2-javier-es",
                  "aura-2-julius-de",
                  "aura-2-juno-en",
                  "aura-2-jupiter-en",
                  "aura-2-kara-de",
                  "aura-2-lara-de",
                  "aura-2-lars-nl",
                  "aura-2-leda-nl",
                  "aura-2-livia-it",
                  "aura-2-luciano-es",
                  "aura-2-luna-en",
                  "aura-2-maia-it",
                  "aura-2-mars-en",
                  "aura-2-melia-it",
                  "aura-2-minerva-en",
                  "aura-2-neptune-en",
                  "aura-2-nestor-es",
                  "aura-2-odysseus-en",
                  "aura-2-olivia-es",
                  "aura-2-ophelia-en",
                  "aura-2-orion-en",
                  "aura-2-orpheus-en",
                  "aura-2-pandora-en",
                  "aura-2-phoebe-en",
                  "aura-2-pluto-en",
                  "aura-2-rhea-nl",
                  "aura-2-roman-nl",
                  "aura-2-sander-nl",
                  "aura-2-saturn-en",
                  "aura-2-selena-es",
                  "aura-2-selene-en",
                  "aura-2-silvia-es",
                  "aura-2-sirio-es",
                  "aura-2-theia-en",
                  "aura-2-uzume-ja",
                  "aura-2-valerio-es",
                  "aura-2-vesta-en",
                  "aura-2-viktoria-de",
                  "aura-2-zeus-en"
                ],
                "enum_known": true,
                "name": "voice",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "mp3"
                ],
                "enum_known": true,
                "name": "response_format",
                "required": true,
                "type": "string"
              }
            ],
            "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.",
            "unsupported": [
              "every field outside exactmodel,input,voice,response_format",
              "stream/speed/reference speech options"
            ]
          },
          "hints": [
            "Pilih suara yang tepat daripada profil model ini.",
            "Aksara input dan saat audio ialah ukuran penggunaan yang berbeza."
          ],
          "input": {
            "content_type": "application/json",
            "input": "teks UTF-8 tepat; kiraan aksara Unicode tanpa penormalan",
            "material_types": [
              "text"
            ],
            "max_input_characters": null,
            "other_options": false,
            "required": [
              "model",
              "input",
              "voice",
              "response_format"
            ],
            "response_format": [
              "mp3"
            ],
            "voice_ids": [
              "aura-2-thalia-en",
              "aura-2-agathe-fr",
              "aura-2-agustina-es",
              "aura-2-alvaro-es",
              "aura-2-ama-ja",
              "aura-2-amalthea-en",
              "aura-2-andromeda-en",
              "aura-2-antonia-es",
              "aura-2-apollo-en",
              "aura-2-aquila-es",
              "aura-2-arcas-en",
              "aura-2-aries-en",
              "aura-2-asteria-en",
              "aura-2-athena-en",
              "aura-2-atlas-en",
              "aura-2-aurelia-de",
              "aura-2-aurora-en",
              "aura-2-beatrix-nl",
              "aura-2-callista-en",
              "aura-2-carina-es",
              "aura-2-celeste-es",
              "aura-2-cesare-it",
              "aura-2-cinzia-it",
              "aura-2-cora-en",
              "aura-2-cordelia-en",
              "aura-2-cornelia-nl",
              "aura-2-daphne-nl",
              "aura-2-delia-en",
              "aura-2-demetra-it",
              "aura-2-diana-es",
              "aura-2-dionisio-it",
              "aura-2-draco-en",
              "aura-2-ebisu-ja",
              "aura-2-elara-de",
              "aura-2-electra-en",
              "aura-2-elio-it",
              "aura-2-estrella-es",
              "aura-2-fabian-de",
              "aura-2-flavio-it",
              "aura-2-fujin-ja",
              "aura-2-gloria-es",
              "aura-2-harmonia-en",
              "aura-2-hector-fr",
              "aura-2-helena-en",
              "aura-2-hera-en",
              "aura-2-hermes-en",
              "aura-2-hestia-nl",
              "aura-2-hyperion-en",
              "aura-2-iris-en",
              "aura-2-izanami-ja",
              "aura-2-janus-en",
              "aura-2-javier-es",
              "aura-2-julius-de",
              "aura-2-juno-en",
              "aura-2-jupiter-en",
              "aura-2-kara-de",
              "aura-2-lara-de",
              "aura-2-lars-nl",
              "aura-2-leda-nl",
              "aura-2-livia-it",
              "aura-2-luciano-es",
              "aura-2-luna-en",
              "aura-2-maia-it",
              "aura-2-mars-en",
              "aura-2-melia-it",
              "aura-2-minerva-en",
              "aura-2-neptune-en",
              "aura-2-nestor-es",
              "aura-2-odysseus-en",
              "aura-2-olivia-es",
              "aura-2-ophelia-en",
              "aura-2-orion-en",
              "aura-2-orpheus-en",
              "aura-2-pandora-en",
              "aura-2-phoebe-en",
              "aura-2-pluto-en",
              "aura-2-rhea-nl",
              "aura-2-roman-nl",
              "aura-2-sander-nl",
              "aura-2-saturn-en",
              "aura-2-selena-es",
              "aura-2-selene-en",
              "aura-2-silvia-es",
              "aura-2-sirio-es",
              "aura-2-theia-en",
              "aura-2-uzume-ja",
              "aura-2-valerio-es",
              "aura-2-vesta-en",
              "aura-2-viktoria-de",
              "aura-2-zeus-en"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "task_id sebenar yang dikembalikan atau rekod pustaka media",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Retain original operation_id/X-Client-Request-ID for reconciliation without resubmission; no dedicated audio poll route."
          },
          "manufacturer_capability": null,
          "method": {
            "http": "POST",
            "path": "/v1/audio/speech"
          },
          "method_aliases": [],
          "operation_modes": [
            "text_to_speech"
          ],
          "output": {
            "family": "audio",
            "format": "mp3",
            "http_success": 200,
            "response": "full binary MP3 plus response headers",
            "result": "complete playable owned MP3"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "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": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input character"
            },
            "label": "input character",
            "units": [
              {
                "amount": "0.00006",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_input_character",
                "label": "input character",
                "native_amount_usd_per_unit": "0.00006",
                "native_quantity": 1,
                "public_unit_label": "per input character",
                "quantity": 1,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_character"
              }
            ]
          }
        ],
        "declared_tariff_references": [
          {
            "client_selectable": false,
            "key": "6be270d373c5634e423e",
            "label": "Deepgram: Aura-2",
            "profiles": [
              {
                "basis": "",
                "dimensions": {
                  "conditions": "Konfigurasi lalai"
                },
                "label": "Deepgram: Aura-2 · Konfigurasi lalai",
                "units": [
                  {
                    "amount": "0.00006",
                    "amount_unit": "usd_per_exact_physical_unit",
                    "billing_input": false,
                    "key": "a771a87d10f80abfd8f1b8cc",
                    "label": "Input characters",
                    "public_unit_label": "per input character",
                    "quantity": "1",
                    "rate_role": "declared_tariff_rate",
                    "side": "in",
                    "unit": "input_character"
                  }
                ]
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_VOICE_ID:?Choose an accepted voice ID from this exact model profile}\"\nexport AILOOT_VOICE_ID\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"deepgram/aura-2\", \"input\": \"Good afternoon! This is a short voice take.\"}')\nvoice=os.environ[\"AILOOT_VOICE_ID\"]\nallowed=json.loads('[\"aura-2-thalia-en\", \"aura-2-agathe-fr\", \"aura-2-agustina-es\", \"aura-2-alvaro-es\", \"aura-2-ama-ja\", \"aura-2-amalthea-en\", \"aura-2-andromeda-en\", \"aura-2-antonia-es\", \"aura-2-apollo-en\", \"aura-2-aquila-es\", \"aura-2-arcas-en\", \"aura-2-aries-en\", \"aura-2-asteria-en\", \"aura-2-athena-en\", \"aura-2-atlas-en\", \"aura-2-aurelia-de\", \"aura-2-aurora-en\", \"aura-2-beatrix-nl\", \"aura-2-callista-en\", \"aura-2-carina-es\", \"aura-2-celeste-es\", \"aura-2-cesare-it\", \"aura-2-cinzia-it\", \"aura-2-cora-en\", \"aura-2-cordelia-en\", \"aura-2-cornelia-nl\", \"aura-2-daphne-nl\", \"aura-2-delia-en\", \"aura-2-demetra-it\", \"aura-2-diana-es\", \"aura-2-dionisio-it\", \"aura-2-draco-en\", \"aura-2-ebisu-ja\", \"aura-2-elara-de\", \"aura-2-electra-en\", \"aura-2-elio-it\", \"aura-2-estrella-es\", \"aura-2-fabian-de\", \"aura-2-flavio-it\", \"aura-2-fujin-ja\", \"aura-2-gloria-es\", \"aura-2-harmonia-en\", \"aura-2-hector-fr\", \"aura-2-helena-en\", \"aura-2-hera-en\", \"aura-2-hermes-en\", \"aura-2-hestia-nl\", \"aura-2-hyperion-en\", \"aura-2-iris-en\", \"aura-2-izanami-ja\", \"aura-2-janus-en\", \"aura-2-javier-es\", \"aura-2-julius-de\", \"aura-2-juno-en\", \"aura-2-jupiter-en\", \"aura-2-kara-de\", \"aura-2-lara-de\", \"aura-2-lars-nl\", \"aura-2-leda-nl\", \"aura-2-livia-it\", \"aura-2-luciano-es\", \"aura-2-luna-en\", \"aura-2-maia-it\", \"aura-2-mars-en\", \"aura-2-melia-it\", \"aura-2-minerva-en\", \"aura-2-neptune-en\", \"aura-2-nestor-es\", \"aura-2-odysseus-en\", \"aura-2-olivia-es\", \"aura-2-ophelia-en\", \"aura-2-orion-en\", \"aura-2-orpheus-en\", \"aura-2-pandora-en\", \"aura-2-phoebe-en\", \"aura-2-pluto-en\", \"aura-2-rhea-nl\", \"aura-2-roman-nl\", \"aura-2-sander-nl\", \"aura-2-saturn-en\", \"aura-2-selena-es\", \"aura-2-selene-en\", \"aura-2-silvia-es\", \"aura-2-sirio-es\", \"aura-2-theia-en\", \"aura-2-uzume-ja\", \"aura-2-valerio-es\", \"aura-2-vesta-en\", \"aura-2-viktoria-de\", \"aura-2-zeus-en\"]')\nif voice not in allowed: raise SystemExit(\"Choose an accepted voice ID from this exact model profile\")\np[\"voice\"]=voice\np[\"response_format\"]=\"mp3\"\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/speech \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o speech.mp3\n",
            "label": "curl",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-assets.json\n",
            "label": "List actual media assets",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_MEDIA_TASK_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_MEDIA_TASK_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_MEDIA_TASK_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/tasks/$resource_id\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-task.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-task.json\").read_text())))\nPY_RESULT\n",
            "label": "Read actual media task",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_ASSET_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_ASSET_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_ASSET_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/assets/$resource_id\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-asset.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-asset.json\").read_text())))\nPY_RESULT\n",
            "label": "Read actual asset metadata",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "speech",
        "hints": [
          "Select exact voice from this model profile.",
          "Input characters and audio seconds are different meters."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "text"
        ],
        "label": "Озвучка текста",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "out": null,
        "output": [
          "audio"
        ],
        "path": "/v1/audio/speech",
        "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": "per_request",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null,
          "unit_prices": {
            "audio_input_character": 6e-05
          }
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "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": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input character"
            },
            "label": "input character",
            "units": [
              {
                "amount": "0.00006",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_input_character",
                "label": "input character",
                "native_amount_usd_per_unit": "0.00006",
                "native_quantity": 1,
                "public_unit_label": "per input character",
                "quantity": 1,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_character"
              }
            ]
          }
        ],
        "request_model_id": "deepgram/aura-2",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/media/tasks/{task_id}",
          "GET /v1/media/assets/{asset_id}/content"
        ],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "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": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.00006",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": true,
            "estimate_only": false,
            "key": "audio_input_character",
            "label": "input character",
            "native_amount_usd_per_unit": "0.00006",
            "native_quantity": 1,
            "public_unit_label": "per input character",
            "quantity": 1,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "audio_input_character"
          }
        ]
      }
    }
  ],
  "model_id": "deepgram/aura-2",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "fcedede7bc6be26ddf8d3eed264fa3140a33245ccb59316211f87384726dd614",
    "input_html_sha256": "e760f04099464413189a98042374edb4a4ce8ef26d15fa265f52a244a3a88295",
    "private_audit_sha256": "0f0075a26228a7615dce0eb0c0ce3eb8c67446198c0b67fd154d7210e5c8b3c7",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/ms/deepgram-aura-2/",
    "description": "Deepgram Aura-2 menjana pertuturan dalam bahasa Inggeris, Sepanyol, Jerman, Perancis, Belanda, Itali dan Jepun. Katalog suaranya, rentak yang mengikuti teks dan kawalan sebutan khusus bahasa menyokong arahan pertuturan, narasi dan aplikasi berbilang bahasa.",
    "locale": "ms",
    "md_url": "https://ailoot.ai/models/ms/deepgram-aura-2/index.md",
    "title": "Deepgram: Aura-2 — Ailoot",
    "url": "https://ailoot.ai/models/ms/deepgram-aura-2/"
  },
  "rawModel": {
    "about": "Aura-2 ialah keluarga teks ke pertuturan Deepgram dengan suara dalam tujuh bahasa: Inggeris, Sepanyol, Jerman, Perancis, Belanda, Itali dan Jepun. Ia menukar teks yang diberikan kepada pertuturan untuk balasan khidmat pelanggan, menu telefon, penerangan dan narasi. Pengeluar menerangkan rentak, ekspresiviti dan kata pengisi perbualan sebagai respons kepada perkataan dan konteks teks yang diberikan.\n\n### Padankan suara dengan bahasa dan tugas\n\nSetiap suara dikenal pasti melalui keluarga, penutur dan bahasanya. Katalog membezakan loghat dan ciri penyampaian dan bukannya menganggap semua penutur boleh saling menggantikan. Thalia ialah pilihan bahasa Inggeris Amerika yang bertenaga; Draco ialah suara British yang dikaitkan dengan penceritaan; Celeste ialah suara bahasa Sepanyol Colombia yang dikaitkan dengan kegunaan perbualan dan pengumuman. Pilih suara dengan mengambil kira skrip sebenar dan pendengar.\n\nSuara bahasa Sepanyol tertentu menyokong pertukaran kod antara bahasa Inggeris dan Sepanyol: Aquila, Carina, Diana, Javier dan Selena. Keupayaan itu milik penutur yang dinamakan tersebut, bukannya setiap suara dalam keluarga ini. Untuk petikan campuran bahasa, kekalkan bahasa yang dimaksudkan bagi nama produk dan frasa petikan, serta dengar peralihannya dengan penutur yang profil terdokumentasinya menyokong tugas tersebut.\n\n### Sediakan teks untuk pertuturan\n\nPanduan pemformatan Aura-2 mengesyorkan tanda baca pada penghujung ayat, tanda soal untuk soalan, koma untuk jeda yang semula jadi dan frasa pendek yang berdiri sendiri. Berikan teks pertuturan akhir, bukannya arahan yang meminta pensintesis menulis mesej. Skrip panduan awal yang berguna ialah: “Selamat datang. Pilih bahasa, kemudian pilih topik yang anda perlukan. Anda boleh mengulang arahan pada bila-bila masa.” Tanda baca memisahkan tindakan pendengar dan memberikan irama yang lebih jelas kepada model.\n\nEja pengecam sebagai huruf berasingan apabila ia mesti dibaca aksara demi aksara. Jelaskan akronim dan elakkan ayat panjang yang bersambung tanpa henti apabila beberapa syarat perlu diterangkan. Pengeluar turut mengesyorkan agar perkataan perintah diletakkan dalam tanda petikan dan sesuatu petikan dibaca kuat untuk diperiksa sebelum sintesis. Untuk narasi pendidikan atau produk, kekalkan istilah penting sambil menukar tajuk bertulis dan senarai padat kepada frasa pertuturan yang lengkap.\n\n### Rentak dan sebutan\n\nPengeluar mendokumenkan kawalan kelajuan dan sebutan IPA untuk bahasa Inggeris dan Sepanyol. Julat kadar pertuturan Aura-2 ialah 0.7 hingga 1.5; untuk bahasa Sepanyol, ia mengesyorkan 0.9 hingga 1.5 kerana tetapan yang lebih perlahan boleh menimbulkan ketidaklancaran pertuturan. Sebutan dan kelajuan boleh digabungkan dalam keluarga ini. Penggantian IPA boleh menyasarkan nama atau istilah khusus, dan konvensyen Aura-2 meletakkan penanda tekanan tepat sebelum vokal.\n\nSpesifikasi kawalan sebutan membenarkan sehingga lima ratus penggantian, dengan setiap rentetan IPA tidak melebihi 128 aksara, serta mendokumenkan had teks input 2,000 aksara bagi aliran kerja itu. Aura-2 tidak menyokong ciri kawalan jeda eksplisit yang didokumenkan untuk Flux TTS. Gunakan struktur ayat dan tanda baca untuk menyediakan irama, dan bahagikan bahan yang lebih panjang kepada petikan yang koheren apabila aliran kerja pilihan memerlukannya.\n\n### Penyampaian dan penggunaan audio\n\nPengeluar menyediakan aliran kerja sintesis permintaan lengkap dan penstriman teks ke audio. Panduan medianya membezakan PCM, mu-law dan A-law penstriman mentah daripada pilihan output berasaskan fail seperti WAV, MP3, Opus, FLAC dan AAC. Tetapan lalai PCM/WAV yang didokumenkan untuk aliran kerja permintaan Aura ialah 24 kHz. Bekas fail, kadar pensampelan dan pengekodan membentuk gabungan yang sah; sambungan telefon dan fail narasi yang boleh dimuat turun mungkin memerlukan pilihan berbeza.\n\nAura-2 kekal sebagai keluarga yang berasingan daripada Aura generasi pertama dan Flux TTS. Keadaan merentas giliran Flux, maklum balas sampukan dan kawalan jeda khusus kelompoknya bukan ciri yang boleh disimpulkan daripada nama suara Aura-2. Output yang berguna ialah versi pertuturan skrip sebenar dalam bahasa, loghat dan perwakilan audio yang sesuai. Semak nama, pertukaran bahasa, rentak berpandukan tanda baca dan arahan penting bersama pendengar sasaran sebelum menggunakan semula rakaman.",
    "alias_of": null,
    "aliases": [],
    "author": "Deepgram",
    "available": null,
    "canonical_model": "deepgram/aura-2",
    "capabilities": {
      "context_length": 0,
      "manufacturer_input": [
        "text"
      ],
      "manufacturer_output": [
        "speech"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.00006",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": true,
            "estimate_only": false,
            "key": "audio_input_character",
            "label": "input character",
            "native_amount_usd_per_unit": "0.00006",
            "native_quantity": 1,
            "public_unit_label": "per input character",
            "quantity": 1,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "audio_input_character"
          }
        ],
        "summary": "Maklumat lengkap tentang harga konfigurasi terdapat dalam butiran."
      }
    ],
    "ctx": null,
    "entity_type": "model",
    "formats": [
      "speech"
    ],
    "id": "deepgram/aura-2",
    "input": [
      "text"
    ],
    "kind": "speech",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Keep the complete binary result and headers. If JSON/multiple outputs are returned, retain every data item and fetch each actual signed asset URL.",
            "errors": [
              {
                "code": null,
                "condition": "Medan wajib, perwakilan bahan atau nilai parameter tidak sah",
                "http_status": 400,
                "recovery": "Betulkan medan yang ditunjukkan sebelum permintaan penciptaan baharu.",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "Respons yang dikembalikan menyatakan bahawa operasi atau hasil memerlukan semakan",
                "http_status": null,
                "recovery": "Simpan ID operasi/tugas asal yang dikembalikan, pengepala permintaan dan respons; teruskan pembacaan yang disokong bagi operasi asal tersebut. Jangan hantar semula permintaan penciptaan.",
                "type": "server_error"
              }
            ],
            "hints": [],
            "ignored_fields": [],
            "lifecycle": {
              "all_results": "Follow everyactualreturnedoutputandownedasset; no result is discardedbecauseindex0orcontent_urlalreadyexists.",
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed URL; never construct token"
                }
              ],
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "status": [
                {
                  "http": "GET",
                  "id_source": "actual returned task_id or media library record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "Simpan operation_id/X-Client-Request-ID asal untuk penyelarasan rekod tanpa penghantaran semula; tiada laluan khusus untuk meninjau status audio."
            },
            "material_combinations": [
              {
                "content_type": "application/json",
                "mode": "text_to_speech",
                "required": [
                  "input"
                ]
              }
            ],
            "media_library": {
              "asset": {
                "fields": [
                  {
                    "description": null,
                    "name": "asset_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "task_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "output_key",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "family",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "model",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "method",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "status",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "content_type",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "sha256",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "size_bytes",
                    "type": "integer"
                  },
                  {
                    "description": null,
                    "name": "content_url",
                    "type": "string"
                  }
                ],
                "http": "GET",
                "id_source": "actual returned asset_id",
                "path": "/v1/media/assets/{asset_id}"
              },
              "content": {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "range_header_supported": true,
                "url_source": "Use exact returned signed content_url including its token; do not construct a token."
              },
              "expired_link": {
                "code": "link_expired",
                "http_status": 404,
                "recovery": "Read the asset again to obtain its refreshed signed content_url, then fetch that URL. Do not regenerate."
              },
              "list": {
                "all_pages": "Follow every returned next_cursor, then select records by their actual task_id/output_key.",
                "http": "GET",
                "output_fields": [
                  {
                    "description": null,
                    "name": "object",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "data",
                    "type": "asset[]"
                  },
                  {
                    "description": null,
                    "name": "next_cursor",
                    "type": "string|null"
                  }
                ],
                "parameters": [
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "family",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "cursor",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": 20,
                    "default_known": true,
                    "enum": null,
                    "enum_known": false,
                    "maximum": 100,
                    "minimum": 1,
                    "name": "limit",
                    "required": false,
                    "type": "integer"
                  }
                ],
                "path": "/v1/media/assets"
              },
              "revoke": {
                "http": "DELETE",
                "meaning": "Revokes/deletes the existing owned file; this is not generation cancellation.",
                "path": "/v1/media/assets/{asset_id}",
                "pending_status": "revoking",
                "success_statuses": [
                  202,
                  204
                ]
              },
              "task": {
                "http": "GET",
                "id_source": "actual returned task_id or media library record; operation_id is not task_id",
                "path": "/v1/media/tasks/{task_id}"
              }
            },
            "operation_modes": [
              "text_to_speech"
            ],
            "outputs": {
              "all_results": "Simpan hasil binari dan pengepala yang lengkap. Jika JSON atau berbilang output dikembalikan, simpan setiap item data dan dapatkan setiap URL aset bertandatangan yang sebenar.",
              "family": "audio",
              "fields": [
                {
                  "description": null,
                  "name": "binary audio",
                  "type": "bytes"
                },
                {
                  "description": null,
                  "name": "response headers",
                  "type": "headers"
                }
              ],
              "format": "mp3",
              "http_success": 200
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "deepgram/aura-2"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "limit_known": false,
                "maximum_length": null,
                "min_length": 1,
                "name": "input",
                "required": true,
                "type": "string",
                "unit": "aksara Unicode"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "aura-2-thalia-en",
                  "aura-2-agathe-fr",
                  "aura-2-agustina-es",
                  "aura-2-alvaro-es",
                  "aura-2-ama-ja",
                  "aura-2-amalthea-en",
                  "aura-2-andromeda-en",
                  "aura-2-antonia-es",
                  "aura-2-apollo-en",
                  "aura-2-aquila-es",
                  "aura-2-arcas-en",
                  "aura-2-aries-en",
                  "aura-2-asteria-en",
                  "aura-2-athena-en",
                  "aura-2-atlas-en",
                  "aura-2-aurelia-de",
                  "aura-2-aurora-en",
                  "aura-2-beatrix-nl",
                  "aura-2-callista-en",
                  "aura-2-carina-es",
                  "aura-2-celeste-es",
                  "aura-2-cesare-it",
                  "aura-2-cinzia-it",
                  "aura-2-cora-en",
                  "aura-2-cordelia-en",
                  "aura-2-cornelia-nl",
                  "aura-2-daphne-nl",
                  "aura-2-delia-en",
                  "aura-2-demetra-it",
                  "aura-2-diana-es",
                  "aura-2-dionisio-it",
                  "aura-2-draco-en",
                  "aura-2-ebisu-ja",
                  "aura-2-elara-de",
                  "aura-2-electra-en",
                  "aura-2-elio-it",
                  "aura-2-estrella-es",
                  "aura-2-fabian-de",
                  "aura-2-flavio-it",
                  "aura-2-fujin-ja",
                  "aura-2-gloria-es",
                  "aura-2-harmonia-en",
                  "aura-2-hector-fr",
                  "aura-2-helena-en",
                  "aura-2-hera-en",
                  "aura-2-hermes-en",
                  "aura-2-hestia-nl",
                  "aura-2-hyperion-en",
                  "aura-2-iris-en",
                  "aura-2-izanami-ja",
                  "aura-2-janus-en",
                  "aura-2-javier-es",
                  "aura-2-julius-de",
                  "aura-2-juno-en",
                  "aura-2-jupiter-en",
                  "aura-2-kara-de",
                  "aura-2-lara-de",
                  "aura-2-lars-nl",
                  "aura-2-leda-nl",
                  "aura-2-livia-it",
                  "aura-2-luciano-es",
                  "aura-2-luna-en",
                  "aura-2-maia-it",
                  "aura-2-mars-en",
                  "aura-2-melia-it",
                  "aura-2-minerva-en",
                  "aura-2-neptune-en",
                  "aura-2-nestor-es",
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                  "aura-2-pluto-en",
                  "aura-2-rhea-nl",
                  "aura-2-roman-nl",
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                  "aura-2-saturn-en",
                  "aura-2-selena-es",
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                  "aura-2-silvia-es",
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                  "aura-2-viktoria-de",
                  "aura-2-zeus-en"
                ],
                "enum_known": true,
                "name": "voice",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "mp3"
                ],
                "enum_known": true,
                "name": "response_format",
                "required": true,
                "type": "string"
              }
            ],
            "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.",
            "unsupported": [
              "every field outside exactmodel,input,voice,response_format",
              "stream/speed/reference speech options"
            ]
          },
          "hints": [
            "Pilih suara yang tepat daripada profil model ini.",
            "Aksara input dan saat audio ialah ukuran penggunaan yang berbeza."
          ],
          "input": {
            "content_type": "application/json",
            "input": "teks UTF-8 tepat; kiraan aksara Unicode tanpa penormalan",
            "material_types": [
              "text"
            ],
            "max_input_characters": null,
            "other_options": false,
            "required": [
              "model",
              "input",
              "voice",
              "response_format"
            ],
            "response_format": [
              "mp3"
            ],
            "voice_ids": [
              "aura-2-thalia-en",
              "aura-2-agathe-fr",
              "aura-2-agustina-es",
              "aura-2-alvaro-es",
              "aura-2-ama-ja",
              "aura-2-amalthea-en",
              "aura-2-andromeda-en",
              "aura-2-antonia-es",
              "aura-2-apollo-en",
              "aura-2-aquila-es",
              "aura-2-arcas-en",
              "aura-2-aries-en",
              "aura-2-asteria-en",
              "aura-2-athena-en",
              "aura-2-atlas-en",
              "aura-2-aurelia-de",
              "aura-2-aurora-en",
              "aura-2-beatrix-nl",
              "aura-2-callista-en",
              "aura-2-carina-es",
              "aura-2-celeste-es",
              "aura-2-cesare-it",
              "aura-2-cinzia-it",
              "aura-2-cora-en",
              "aura-2-cordelia-en",
              "aura-2-cornelia-nl",
              "aura-2-daphne-nl",
              "aura-2-delia-en",
              "aura-2-demetra-it",
              "aura-2-diana-es",
              "aura-2-dionisio-it",
              "aura-2-draco-en",
              "aura-2-ebisu-ja",
              "aura-2-elara-de",
              "aura-2-electra-en",
              "aura-2-elio-it",
              "aura-2-estrella-es",
              "aura-2-fabian-de",
              "aura-2-flavio-it",
              "aura-2-fujin-ja",
              "aura-2-gloria-es",
              "aura-2-harmonia-en",
              "aura-2-hector-fr",
              "aura-2-helena-en",
              "aura-2-hera-en",
              "aura-2-hermes-en",
              "aura-2-hestia-nl",
              "aura-2-hyperion-en",
              "aura-2-iris-en",
              "aura-2-izanami-ja",
              "aura-2-janus-en",
              "aura-2-javier-es",
              "aura-2-julius-de",
              "aura-2-juno-en",
              "aura-2-jupiter-en",
              "aura-2-kara-de",
              "aura-2-lara-de",
              "aura-2-lars-nl",
              "aura-2-leda-nl",
              "aura-2-livia-it",
              "aura-2-luciano-es",
              "aura-2-luna-en",
              "aura-2-maia-it",
              "aura-2-mars-en",
              "aura-2-melia-it",
              "aura-2-minerva-en",
              "aura-2-neptune-en",
              "aura-2-nestor-es",
              "aura-2-odysseus-en",
              "aura-2-olivia-es",
              "aura-2-ophelia-en",
              "aura-2-orion-en",
              "aura-2-orpheus-en",
              "aura-2-pandora-en",
              "aura-2-phoebe-en",
              "aura-2-pluto-en",
              "aura-2-rhea-nl",
              "aura-2-roman-nl",
              "aura-2-sander-nl",
              "aura-2-saturn-en",
              "aura-2-selena-es",
              "aura-2-selene-en",
              "aura-2-silvia-es",
              "aura-2-sirio-es",
              "aura-2-theia-en",
              "aura-2-uzume-ja",
              "aura-2-valerio-es",
              "aura-2-vesta-en",
              "aura-2-viktoria-de",
              "aura-2-zeus-en"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "task_id sebenar yang dikembalikan atau rekod pustaka media",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Retain original operation_id/X-Client-Request-ID for reconciliation without resubmission; no dedicated audio poll route."
          },
          "manufacturer_capability": null,
          "method": {
            "http": "POST",
            "path": "/v1/audio/speech"
          },
          "method_aliases": [],
          "operation_modes": [
            "text_to_speech"
          ],
          "output": {
            "family": "audio",
            "format": "mp3",
            "http_success": 200,
            "response": "full binary MP3 plus response headers",
            "result": "complete playable owned MP3"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "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": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input character"
            },
            "label": "input character",
            "units": [
              {
                "amount": "0.00006",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_input_character",
                "label": "input character",
                "native_amount_usd_per_unit": "0.00006",
                "native_quantity": 1,
                "public_unit_label": "per input character",
                "quantity": 1,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_character"
              }
            ]
          }
        ],
        "declared_tariff_references": [
          {
            "client_selectable": false,
            "key": "6be270d373c5634e423e",
            "label": "Deepgram: Aura-2",
            "profiles": [
              {
                "basis": "",
                "dimensions": {
                  "conditions": "Konfigurasi lalai"
                },
                "label": "Deepgram: Aura-2 · Konfigurasi lalai",
                "units": [
                  {
                    "amount": "0.00006",
                    "amount_unit": "usd_per_exact_physical_unit",
                    "billing_input": false,
                    "key": "a771a87d10f80abfd8f1b8cc",
                    "label": "Input characters",
                    "public_unit_label": "per input character",
                    "quantity": "1",
                    "rate_role": "declared_tariff_rate",
                    "side": "in",
                    "unit": "input_character"
                  }
                ]
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_VOICE_ID:?Choose an accepted voice ID from this exact model profile}\"\nexport AILOOT_VOICE_ID\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"deepgram/aura-2\", \"input\": \"Good afternoon! This is a short voice take.\"}')\nvoice=os.environ[\"AILOOT_VOICE_ID\"]\nallowed=json.loads('[\"aura-2-thalia-en\", \"aura-2-agathe-fr\", \"aura-2-agustina-es\", \"aura-2-alvaro-es\", \"aura-2-ama-ja\", \"aura-2-amalthea-en\", \"aura-2-andromeda-en\", \"aura-2-antonia-es\", \"aura-2-apollo-en\", \"aura-2-aquila-es\", \"aura-2-arcas-en\", \"aura-2-aries-en\", \"aura-2-asteria-en\", \"aura-2-athena-en\", \"aura-2-atlas-en\", \"aura-2-aurelia-de\", \"aura-2-aurora-en\", \"aura-2-beatrix-nl\", \"aura-2-callista-en\", \"aura-2-carina-es\", \"aura-2-celeste-es\", \"aura-2-cesare-it\", \"aura-2-cinzia-it\", \"aura-2-cora-en\", \"aura-2-cordelia-en\", \"aura-2-cornelia-nl\", \"aura-2-daphne-nl\", \"aura-2-delia-en\", \"aura-2-demetra-it\", \"aura-2-diana-es\", \"aura-2-dionisio-it\", \"aura-2-draco-en\", \"aura-2-ebisu-ja\", \"aura-2-elara-de\", \"aura-2-electra-en\", \"aura-2-elio-it\", \"aura-2-estrella-es\", \"aura-2-fabian-de\", \"aura-2-flavio-it\", \"aura-2-fujin-ja\", \"aura-2-gloria-es\", \"aura-2-harmonia-en\", \"aura-2-hector-fr\", \"aura-2-helena-en\", \"aura-2-hera-en\", \"aura-2-hermes-en\", \"aura-2-hestia-nl\", \"aura-2-hyperion-en\", \"aura-2-iris-en\", \"aura-2-izanami-ja\", \"aura-2-janus-en\", \"aura-2-javier-es\", \"aura-2-julius-de\", \"aura-2-juno-en\", \"aura-2-jupiter-en\", \"aura-2-kara-de\", \"aura-2-lara-de\", \"aura-2-lars-nl\", \"aura-2-leda-nl\", \"aura-2-livia-it\", \"aura-2-luciano-es\", \"aura-2-luna-en\", \"aura-2-maia-it\", \"aura-2-mars-en\", \"aura-2-melia-it\", \"aura-2-minerva-en\", \"aura-2-neptune-en\", \"aura-2-nestor-es\", \"aura-2-odysseus-en\", \"aura-2-olivia-es\", \"aura-2-ophelia-en\", \"aura-2-orion-en\", \"aura-2-orpheus-en\", \"aura-2-pandora-en\", \"aura-2-phoebe-en\", \"aura-2-pluto-en\", \"aura-2-rhea-nl\", \"aura-2-roman-nl\", \"aura-2-sander-nl\", \"aura-2-saturn-en\", \"aura-2-selena-es\", \"aura-2-selene-en\", \"aura-2-silvia-es\", \"aura-2-sirio-es\", \"aura-2-theia-en\", \"aura-2-uzume-ja\", \"aura-2-valerio-es\", \"aura-2-vesta-en\", \"aura-2-viktoria-de\", \"aura-2-zeus-en\"]')\nif voice not in allowed: raise SystemExit(\"Choose an accepted voice ID from this exact model profile\")\np[\"voice\"]=voice\np[\"response_format\"]=\"mp3\"\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/speech \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o speech.mp3\n",
            "label": "curl",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-assets.json\n",
            "label": "List actual media assets",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_MEDIA_TASK_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_MEDIA_TASK_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_MEDIA_TASK_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/tasks/$resource_id\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-task.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-task.json\").read_text())))\nPY_RESULT\n",
            "label": "Read actual media task",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_ASSET_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_ASSET_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_ASSET_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/assets/$resource_id\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-asset.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-asset.json\").read_text())))\nPY_RESULT\n",
            "label": "Read actual asset metadata",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "speech",
        "hints": [
          "Select exact voice from this model profile.",
          "Input characters and audio seconds are different meters."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "text"
        ],
        "label": "Озвучка текста",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "out": null,
        "output": [
          "audio"
        ],
        "path": "/v1/audio/speech",
        "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": "per_request",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null,
          "unit_prices": {
            "audio_input_character": 6e-05
          }
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "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": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input character"
            },
            "label": "input character",
            "units": [
              {
                "amount": "0.00006",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_input_character",
                "label": "input character",
                "native_amount_usd_per_unit": "0.00006",
                "native_quantity": 1,
                "public_unit_label": "per input character",
                "quantity": 1,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_character"
              }
            ]
          }
        ],
        "request_model_id": "deepgram/aura-2",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/media/tasks/{task_id}",
          "GET /v1/media/assets/{asset_id}/content"
        ],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "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": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.00006",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": true,
            "estimate_only": false,
            "key": "audio_input_character",
            "label": "input character",
            "native_amount_usd_per_unit": "0.00006",
            "native_quantity": 1,
            "public_unit_label": "per input character",
            "quantity": 1,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "audio_input_character"
          }
        ]
      }
    ],
    "model_aliases": [
      {
        "canonical_model_id": "deepgram/aura-2",
        "request_model_id": "deepgram/aura-2",
        "route_label": "Ultra"
      }
    ],
    "name": "Deepgram: Aura-2",
    "price": {
      "in": null,
      "in_label": null,
      "out": null,
      "out_label": null,
      "sort_in": null,
      "sort_out": null,
      "varies": true
    },
    "pricing_profiles": [
      {
        "dimensions": {
          "regime": "base"
        },
        "label": "Ultra",
        "units": [
          {
            "amount": "0.00006",
            "amount_unit": "usd_per_declared_unit",
            "conditions": {},
            "key": "prompt",
            "label": "prompt",
            "quantity": "1",
            "rate_role": "typed_active_maker_rate",
            "side": "in",
            "unit": "input_character"
          }
        ]
      }
    ],
    "public_id": "deepgram/aura-2",
    "short": "Deepgram Aura-2 menjana pertuturan dalam bahasa Inggeris, Sepanyol, Jerman, Perancis, Belanda, Itali dan Jepun. Katalog suaranya, rentak yang mengikuti teks dan kawalan sebutan khusus bahasa menyokong arahan pertuturan, narasi dan aplikasi berbilang bahasa."
  },
  "renderer_schema": {
    "method_order": "Original DTO methods order; every exact route/format/path/caller survives.",
    "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers."
  },
  "representation": "exact-public-dto-and-native-renderer-html",
  "representationNotes": {
    "current_reference": {
      "about_json_pointer": "/aboutHtml",
      "methods": [
        {
          "contract_json_pointer": "/methods/0/rawMethod/contract",
          "html_json_pointer": "/methods/0/html",
          "method_ordinal": 0
        }
      ],
      "role": "current-semantic-reference"
    },
    "raw_input": {
      "examples_role": "historical-input-not-current-ready-examples",
      "json_pointers": [
        "/rawModel",
        "/methods/0/rawMethod"
      ],
      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
  },
  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "Deepgram Aura-2 menjana pertuturan dalam bahasa Inggeris, Sepanyol, Jerman, Perancis, Belanda, Itali dan Jepun. Katalog suaranya, rentak yang mengikuti teks dan kawalan sebutan khusus bahasa menyokong arahan pertuturan, narasi dan aplikasi berbilang bahasa.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "f3ccd34c0ce49c74fc1625e960a2a52f319e883cd5cc2fcc3fc43451448df6b2",
    "renderer_sha256": "1dab5ba62521e9568c8b7c82005622cabbf330a075df7cce1f83274a04009460"
  },
  "sourceRevision": "c0e494cb0c167dfb1a92863a16f48787013c93d955590f1e3fa552c7e77a1670"
}