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  "aboutHtml": "<p>Eleven Turbo v2.5 ialah model teks ke pertuturan berbilang bahasa ElevenLabs untuk pertuturan interaktif. Ia menerima teks ujaran yang disediakan dan menghasilkan audio dengan suara pilihan. Pengeluar memposisikannya untuk aplikasi berkependaman rendah dan antara muka perbualan. Berbeza daripada Turbo v2 yang khusus untuk bahasa Inggeris, edisi ini menyokong skrip berbilang bahasa; model tidak mencipta balasan aplikasi atau mentranskripsikan rakaman pengguna yang masuk.</p><p>Set 32 bahasanya mengandungi 29 bahasa Multilingual v2 ditambah bahasa Hungary, Norway dan Vietnam. Bahasa yang didokumenkan merangkumi bahasa Inggeris, Jepun, Cina, Jerman, Hindi, Perancis, Korea, Portugis, Itali, Sepanyol, Indonesia, Belanda, Turki, Filipino, Poland, Sweden, Bulgaria, Romania, Arab, Czech, Yunani, Finland, Croatia, Melayu, Slovak, Denmark, Tamil, Ukraine dan Rusia. Sediakan perkataan secara semula jadi untuk bahasa sasaran dan pilih suara dengan loghat yang diperlukan oleh pendengar.</p><p>Soalan lazim produk TTS lengkap pengeluar secara jelas memberikan had maksimum input API 40,000 aksara untuk Turbo v2.5. Anggaran panjang rakaman yang berkaitan bukan tempoh tepat: suara, bahasa dan kadar pertuturan menentukan panjang rakaman sebenar. Untuk respons perbualan, berikan idea lengkap yang pendek dan bukannya memenuhi ruang input yang tersedia. Untuk kandungan lebih panjang, bahagikan skrip kepada bahagian berkaitan dan kekalkan konteks sekeliling.</p><p>ElevenLabs menerangkan Turbo v2.5 dan Flash v2.5 sebagai model pengeluar yang setara dari segi fungsi, dengan purata kependaman yang lebih rendah untuk Flash. Kedua-duanya mengekalkan nama dan kad berasingan; perbandingan itu tidak menetapkan pemberat atau masa respons sesuatu runtime tertentu. Turbo v2.5 kekal sebagai profil sintesis berbilang bahasa bernama yang berguna apabila tugas atau aplikasi merekodkan edisi khusus itu. Penyediaan suara dan teksnya patut disimpan bersama hasil pilihan apabila membandingkan persembahan.</p><p>Penyediaan sebutan paling penting untuk nama, kod rujukan, tarikh dan istilah yang disingkatkan. Tulis digit satu demi satu apabila pendengar mesti mengulang pengecam dan tulis bentuk penuh frasa apabila makna lisannya akan mengelirukan tanpa pengembangan itu. Gunakan ejaan alternatif atau alias sebutan yang konsisten untuk nama sukar yang berulang. Panduan kamus tidak menyenaraikan Turbo v2.5 antara model yang menggunakan peraturan fonem, maka ciri IPA natif atau fonem edisi bernama lain tidak dipindahkan ke dalam profil ini.</p><p>Nada dan irama datang daripada teks, tanda baca, suara dan tetapan suara pengeluar. Panduan produk bersama menerangkan stability untuk ketekalan, similarity untuk kemiripan dan tetapan speed dari 0.7 hingga 1.2 dengan 1.0 mengekalkan kelajuan. Bahasa asal dan rentak suara boleh mempengaruhi hasil berbilang bahasa. Arahan emosi yang ditulis sebagai narasi biasa boleh dituturkan, manakala kawalan tag audio v3 dan v4 ialah ciri model yang berasingan. Sediakan balasan pertuturan yang bersih dan jelaskan suasana hati yang dimaksudkan melalui perkataan.</p><p>Aliran kerja TTS bersama mendokumenkan penjanaan pertuturan penuh dan audio berstrim. Keluarga formatnya merangkumi MP3, PCM 16 bit tanpa pemampatan, μ-law dan A-law untuk telefon, serta Opus. Pilih format yang sesuai dengan destinasi main balik dan simpan skrip di sisi audio pilihan. Penstriman berkaitan dengan cara pertuturan yang dijana disampaikan; ia berasingan daripada mendengar pengguna, mengesan giliran atau menentukan tindakan yang patut diambil oleh pembantu.</p><p>Untuk balasan pembantu berbilang bahasa yang praktikal, sahkan satu hasil dan nyatakan satu langkah seterusnya. Petunjuk tutorial boleh menamakan kawalan yang patut digunakan oleh pengguna dan menerangkan perkara yang berlaku selepas kawalan itu dipilih. Sesuaikan perkataan itu untuk setiap bahasa, dengan mengekalkan nama dan tindakan sebenar dan bukannya menterjemahkan ayat yang janggal secara mekanikal. Semak ayat yang mencerminkan kandungan dari segi sebutan, loghat, kejelasan pertuturan dan cara ia menyusuli giliran terdahulu. Hasil yang boleh digunakan semula ialah rakaman pertuturan yang dikaitkan dengan skrip, suara dan edisi Turbo v2.5 yang tepat.</p>",
  "aboutText": "Eleven Turbo v2.5 ialah model teks ke pertuturan berbilang bahasa ElevenLabs untuk pertuturan interaktif. Ia menerima teks ujaran yang disediakan dan menghasilkan audio dengan suara pilihan. Pengeluar memposisikannya untuk aplikasi berkependaman rendah dan antara muka perbualan. Berbeza daripada Turbo v2 yang khusus untuk bahasa Inggeris, edisi ini menyokong skrip berbilang bahasa; model tidak mencipta balasan aplikasi atau mentranskripsikan rakaman pengguna yang masuk.\n\nSet 32 bahasanya mengandungi 29 bahasa Multilingual v2 ditambah bahasa Hungary, Norway dan Vietnam. Bahasa yang didokumenkan merangkumi bahasa Inggeris, Jepun, Cina, Jerman, Hindi, Perancis, Korea, Portugis, Itali, Sepanyol, Indonesia, Belanda, Turki, Filipino, Poland, Sweden, Bulgaria, Romania, Arab, Czech, Yunani, Finland, Croatia, Melayu, Slovak, Denmark, Tamil, Ukraine dan Rusia. Sediakan perkataan secara semula jadi untuk bahasa sasaran dan pilih suara dengan loghat yang diperlukan oleh pendengar.\n\nSoalan lazim produk TTS lengkap pengeluar secara jelas memberikan had maksimum input API 40,000 aksara untuk Turbo v2.5. Anggaran panjang rakaman yang berkaitan bukan tempoh tepat: suara, bahasa dan kadar pertuturan menentukan panjang rakaman sebenar. Untuk respons perbualan, berikan idea lengkap yang pendek dan bukannya memenuhi ruang input yang tersedia. Untuk kandungan lebih panjang, bahagikan skrip kepada bahagian berkaitan dan kekalkan konteks sekeliling.\n\nElevenLabs menerangkan Turbo v2.5 dan Flash v2.5 sebagai model pengeluar yang setara dari segi fungsi, dengan purata kependaman yang lebih rendah untuk Flash. Kedua-duanya mengekalkan nama dan kad berasingan; perbandingan itu tidak menetapkan pemberat atau masa respons sesuatu runtime tertentu. Turbo v2.5 kekal sebagai profil sintesis berbilang bahasa bernama yang berguna apabila tugas atau aplikasi merekodkan edisi khusus itu. Penyediaan suara dan teksnya patut disimpan bersama hasil pilihan apabila membandingkan persembahan.\n\nPenyediaan sebutan paling penting untuk nama, kod rujukan, tarikh dan istilah yang disingkatkan. Tulis digit satu demi satu apabila pendengar mesti mengulang pengecam dan tulis bentuk penuh frasa apabila makna lisannya akan mengelirukan tanpa pengembangan itu. Gunakan ejaan alternatif atau alias sebutan yang konsisten untuk nama sukar yang berulang. Panduan kamus tidak menyenaraikan Turbo v2.5 antara model yang menggunakan peraturan fonem, maka ciri IPA natif atau fonem edisi bernama lain tidak dipindahkan ke dalam profil ini.\n\nNada dan irama datang daripada teks, tanda baca, suara dan tetapan suara pengeluar. Panduan produk bersama menerangkan stability untuk ketekalan, similarity untuk kemiripan dan tetapan speed dari 0.7 hingga 1.2 dengan 1.0 mengekalkan kelajuan. Bahasa asal dan rentak suara boleh mempengaruhi hasil berbilang bahasa. Arahan emosi yang ditulis sebagai narasi biasa boleh dituturkan, manakala kawalan tag audio v3 dan v4 ialah ciri model yang berasingan. Sediakan balasan pertuturan yang bersih dan jelaskan suasana hati yang dimaksudkan melalui perkataan.\n\nAliran kerja TTS bersama mendokumenkan penjanaan pertuturan penuh dan audio berstrim. Keluarga formatnya merangkumi MP3, PCM 16 bit tanpa pemampatan, μ-law dan A-law untuk telefon, serta Opus. Pilih format yang sesuai dengan destinasi main balik dan simpan skrip di sisi audio pilihan. Penstriman berkaitan dengan cara pertuturan yang dijana disampaikan; ia berasingan daripada mendengar pengguna, mengesan giliran atau menentukan tindakan yang patut diambil oleh pembantu.\n\nUntuk balasan pembantu berbilang bahasa yang praktikal, sahkan satu hasil dan nyatakan satu langkah seterusnya. Petunjuk tutorial boleh menamakan kawalan yang patut digunakan oleh pengguna dan menerangkan perkara yang berlaku selepas kawalan itu dipilih. Sesuaikan perkataan itu untuk setiap bahasa, dengan mengekalkan nama dan tindakan sebenar dan bukannya menterjemahkan ayat yang janggal secara mekanikal. Semak ayat yang mencerminkan kandungan dari segi sebutan, loghat, kejelasan pertuturan dan cara ia menyusuli giliran terdahulu. Hasil yang boleh digunakan semula ialah rakaman pertuturan yang dikaitkan dengan skrip, suara dan edisi Turbo v2.5 yang tepat.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">ElevenLabs: Eleven Turbo v2.5</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Tutup\">×</button></div><div class=\"idline\"><span>ElevenLabs /</span><code>elevenlabs/eleven-turbo-v2.5</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|elevenlabs%2Feleven-turbo-v2.5\">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\">Eleven Turbo v2.5 ialah edisi teks ke pertuturan berbilang bahasa ElevenLabs untuk aplikasi suara yang responsif. Ia menyokong 32 bahasa dan sehingga 40,000 aksara bagi setiap permintaan API, menukar balasan yang disediakan kepada audio pertuturan dengan suara pilihan.</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>Eleven Turbo v2.5 ialah model teks ke pertuturan berbilang bahasa ElevenLabs untuk pertuturan interaktif. Ia menerima teks ujaran yang disediakan dan menghasilkan audio dengan suara pilihan. Pengeluar memposisikannya untuk aplikasi berkependaman rendah dan antara muka perbualan. Berbeza daripada Turbo v2 yang khusus untuk bahasa Inggeris, edisi ini menyokong skrip berbilang bahasa; model tidak mencipta balasan aplikasi atau mentranskripsikan rakaman pengguna yang masuk.</p><p>Set 32 bahasanya mengandungi 29 bahasa Multilingual v2 ditambah bahasa Hungary, Norway dan Vietnam. Bahasa yang didokumenkan merangkumi bahasa Inggeris, Jepun, Cina, Jerman, Hindi, Perancis, Korea, Portugis, Itali, Sepanyol, Indonesia, Belanda, Turki, Filipino, Poland, Sweden, Bulgaria, Romania, Arab, Czech, Yunani, Finland, Croatia, Melayu, Slovak, Denmark, Tamil, Ukraine dan Rusia. Sediakan perkataan secara semula jadi untuk bahasa sasaran dan pilih suara dengan loghat yang diperlukan oleh pendengar.</p><p>Soalan lazim produk TTS lengkap pengeluar secara jelas memberikan had maksimum input API 40,000 aksara untuk Turbo v2.5. Anggaran panjang rakaman yang berkaitan bukan tempoh tepat: suara, bahasa dan kadar pertuturan menentukan panjang rakaman sebenar. Untuk respons perbualan, berikan idea lengkap yang pendek dan bukannya memenuhi ruang input yang tersedia. Untuk kandungan lebih panjang, bahagikan skrip kepada bahagian berkaitan dan kekalkan konteks sekeliling.</p><p>ElevenLabs menerangkan Turbo v2.5 dan Flash v2.5 sebagai model pengeluar yang setara dari segi fungsi, dengan purata kependaman yang lebih rendah untuk Flash. Kedua-duanya mengekalkan nama dan kad berasingan; perbandingan itu tidak menetapkan pemberat atau masa respons sesuatu runtime tertentu. Turbo v2.5 kekal sebagai profil sintesis berbilang bahasa bernama yang berguna apabila tugas atau aplikasi merekodkan edisi khusus itu. Penyediaan suara dan teksnya patut disimpan bersama hasil pilihan apabila membandingkan persembahan.</p><p>Penyediaan sebutan paling penting untuk nama, kod rujukan, tarikh dan istilah yang disingkatkan. Tulis digit satu demi satu apabila pendengar mesti mengulang pengecam dan tulis bentuk penuh frasa apabila makna lisannya akan mengelirukan tanpa pengembangan itu. Gunakan ejaan alternatif atau alias sebutan yang konsisten untuk nama sukar yang berulang. Panduan kamus tidak menyenaraikan Turbo v2.5 antara model yang menggunakan peraturan fonem, maka ciri IPA natif atau fonem edisi bernama lain tidak dipindahkan ke dalam profil ini.</p><p>Nada dan irama datang daripada teks, tanda baca, suara dan tetapan suara pengeluar. Panduan produk bersama menerangkan stability untuk ketekalan, similarity untuk kemiripan dan tetapan speed dari 0.7 hingga 1.2 dengan 1.0 mengekalkan kelajuan. Bahasa asal dan rentak suara boleh mempengaruhi hasil berbilang bahasa. Arahan emosi yang ditulis sebagai narasi biasa boleh dituturkan, manakala kawalan tag audio v3 dan v4 ialah ciri model yang berasingan. Sediakan balasan pertuturan yang bersih dan jelaskan suasana hati yang dimaksudkan melalui perkataan.</p><p>Aliran kerja TTS bersama mendokumenkan penjanaan pertuturan penuh dan audio berstrim. Keluarga formatnya merangkumi MP3, PCM 16 bit tanpa pemampatan, μ-law dan A-law untuk telefon, serta Opus. Pilih format yang sesuai dengan destinasi main balik dan simpan skrip di sisi audio pilihan. Penstriman berkaitan dengan cara pertuturan yang dijana disampaikan; ia berasingan daripada mendengar pengguna, mengesan giliran atau menentukan tindakan yang patut diambil oleh pembantu.</p><p>Untuk balasan pembantu berbilang bahasa yang praktikal, sahkan satu hasil dan nyatakan satu langkah seterusnya. Petunjuk tutorial boleh menamakan kawalan yang patut digunakan oleh pengguna dan menerangkan perkara yang berlaku selepas kawalan itu dipilih. Sesuaikan perkataan itu untuk setiap bahasa, dengan mengekalkan nama dan tindakan sebenar dan bukannya menterjemahkan ayat yang janggal secara mekanikal. Semak ayat yang mencerminkan kandungan dari segi sebutan, loghat, kejelasan pertuturan dan cara ia menyusuli giliran terdahulu. Hasil yang boleh digunakan semula ialah rakaman pertuturan yang dikaitkan dengan skrip, suara dan edisi Turbo v2.5 yang tepat.</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>elevenlabs/eleven-turbo-v2.5</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>Panjang maksimum: 40,000</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>george, sarah, adam, alice, bella, bill, brian, callum, charlie, chris, daniel, eric, harry, jessica, laura, liam, lily, matilda, river, roger, will</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>george, sarah, adam, alice, bella, bill, brian, callum, charlie, chris, daniel, eric, harry, jessica, laura, liam, lily, matilda, river, roger, will</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>40000</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>$0.00008</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>ElevenLabs: Eleven Turbo v2.5</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>ElevenLabs: Eleven Turbo v2.5 · 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 0.00004</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-1318-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1318-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-1318-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1318-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;elevenlabs/eleven-turbo-v2.5&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;george&quot;, &quot;sarah&quot;, &quot;adam&quot;, &quot;alice&quot;, &quot;bella&quot;, &quot;bill&quot;, &quot;brian&quot;, &quot;callum&quot;, &quot;charlie&quot;, &quot;chris&quot;, &quot;daniel&quot;, &quot;eric&quot;, &quot;harry&quot;, &quot;jessica&quot;, &quot;laura&quot;, &quot;liam&quot;, &quot;lily&quot;, &quot;matilda&quot;, &quot;river&quot;, &quot;roger&quot;, &quot;will&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-1319-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1319-panel-0\" aria-selected=\"true\" tabindex=\"0\">Pustaka media</button><button class=\"cg-tab\" id=\"model-code-1319-tab-1\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1319-panel-1\" aria-selected=\"false\" tabindex=\"-1\">Status tugas</button><button class=\"cg-tab\" id=\"model-code-1319-tab-2\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1319-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-1319-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1319-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 $AILOOT_API_KEY&quot; -o media-assets.json\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-1319-panel-1\" role=\"tabpanel\" aria-labelledby=\"model-code-1319-tab-1\" hidden><pre data-lang=\"bash\"><code>set -eu\n: &quot;${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 $AILOOT_API_KEY&quot; -o media-task.json\npython3 - &lt;&lt;&#39;PY_RESULT&#39;\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(&quot;media-task.json&quot;).read_text())))\nPY_RESULT\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-1319-panel-2\" role=\"tabpanel\" aria-labelledby=\"model-code-1319-tab-2\" hidden><pre data-lang=\"bash\"><code>set -eu\n: &quot;${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=elevenlabs%2Feleven-turbo-v2.5&amp;route=Ultra&amp;caller=elevenlabs%2Feleven-turbo-v2.5&amp;fmt=speech\"><code>elevenlabs/eleven-turbo-v2.5</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=elevenlabs%2Feleven-turbo-v2.5&amp;route=Ultra&amp;caller=elevenlabs%2Feleven-turbo-v2.5&amp;fmt=speech\"><code>elevenlabs/eleven-turbo-v2.5</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "elevenlabs/eleven-turbo-v2.5",
        "fmt": "speech",
        "http": "POST",
        "path": "/v1/audio/speech",
        "request_model_id": "elevenlabs/eleven-turbo-v2.5",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|speech|/v1/audio/speech|elevenlabs%2Feleven-turbo-v2.5",
      "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": [
                  "elevenlabs/eleven-turbo-v2.5"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "limit_known": true,
                "maximum_length": 40000,
                "min_length": 1,
                "name": "input",
                "required": true,
                "type": "string",
                "unit": "aksara Unicode"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "george",
                  "sarah",
                  "adam",
                  "alice",
                  "bella",
                  "bill",
                  "brian",
                  "callum",
                  "charlie",
                  "chris",
                  "daniel",
                  "eric",
                  "harry",
                  "jessica",
                  "laura",
                  "liam",
                  "lily",
                  "matilda",
                  "river",
                  "roger",
                  "will"
                ],
                "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": 40000,
            "other_options": false,
            "required": [
              "model",
              "input",
              "voice",
              "response_format"
            ],
            "response_format": [
              "mp3"
            ],
            "voice_ids": [
              "george",
              "sarah",
              "adam",
              "alice",
              "bella",
              "bill",
              "brian",
              "callum",
              "charlie",
              "chris",
              "daniel",
              "eric",
              "harry",
              "jessica",
              "laura",
              "liam",
              "lily",
              "matilda",
              "river",
              "roger",
              "will"
            ]
          },
          "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": "0.00008",
                "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": "0.00008",
                "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": "c7663bd2b68eeea58a26",
            "label": "ElevenLabs: Eleven Turbo v2.5",
            "profiles": [
              {
                "basis": "",
                "dimensions": {
                  "conditions": "Konfigurasi lalai"
                },
                "label": "ElevenLabs: Eleven Turbo v2.5 · Konfigurasi lalai",
                "units": [
                  {
                    "amount": "0.00004",
                    "amount_unit": "usd_per_exact_physical_unit",
                    "billing_input": false,
                    "key": "b962928f7d2b1e74db2fc4bd",
                    "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\": \"elevenlabs/eleven-turbo-v2.5\", \"input\": \"Good afternoon! This is a short voice take.\"}')\nvoice=os.environ[\"AILOOT_VOICE_ID\"]\nallowed=json.loads('[\"george\", \"sarah\", \"adam\", \"alice\", \"bella\", \"bill\", \"brian\", \"callum\", \"charlie\", \"chris\", \"daniel\", \"eric\", \"harry\", \"jessica\", \"laura\", \"liam\", \"lily\", \"matilda\", \"river\", \"roger\", \"will\"]')\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": 8e-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": "0.00008",
                "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": "0.00008",
                "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": "elevenlabs/eleven-turbo-v2.5",
        "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": "0.00008",
            "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": "0.00008",
            "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": "elevenlabs/eleven-turbo-v2.5",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "b0662fe9de3da48b6dcf40799a69ac715531264f6da74aaa0cd2418d5531be53",
    "input_html_sha256": "4812b01efec315fd9ebd2a312e27cd009f3380f06da6cacbda484b4e7300f735",
    "private_audit_sha256": "826b7feffb8f5072a9c6c7930a947cb8571d76845b8a8110aac2176b33a7ff50",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/ms/elevenlabs-eleven-turbo-v2-5/",
    "description": "Eleven Turbo v2.5 ialah edisi teks ke pertuturan berbilang bahasa ElevenLabs untuk aplikasi suara yang responsif. Ia menyokong 32 bahasa dan sehingga 40,000 aksara bagi setiap permintaan API, menukar balasan yang disediakan kepada audio pertuturan dengan suara pilihan.",
    "locale": "ms",
    "md_url": "https://ailoot.ai/models/ms/elevenlabs-eleven-turbo-v2-5/index.md",
    "title": "ElevenLabs: Eleven Turbo v2.5 — Ailoot",
    "url": "https://ailoot.ai/models/ms/elevenlabs-eleven-turbo-v2-5/"
  },
  "rawModel": {
    "about": "Eleven Turbo v2.5 ialah model teks ke pertuturan berbilang bahasa ElevenLabs untuk pertuturan interaktif. Ia menerima teks ujaran yang disediakan dan menghasilkan audio dengan suara pilihan. Pengeluar memposisikannya untuk aplikasi berkependaman rendah dan antara muka perbualan. Berbeza daripada Turbo v2 yang khusus untuk bahasa Inggeris, edisi ini menyokong skrip berbilang bahasa; model tidak mencipta balasan aplikasi atau mentranskripsikan rakaman pengguna yang masuk.\n\nSet 32 bahasanya mengandungi 29 bahasa Multilingual v2 ditambah bahasa Hungary, Norway dan Vietnam. Bahasa yang didokumenkan merangkumi bahasa Inggeris, Jepun, Cina, Jerman, Hindi, Perancis, Korea, Portugis, Itali, Sepanyol, Indonesia, Belanda, Turki, Filipino, Poland, Sweden, Bulgaria, Romania, Arab, Czech, Yunani, Finland, Croatia, Melayu, Slovak, Denmark, Tamil, Ukraine dan Rusia. Sediakan perkataan secara semula jadi untuk bahasa sasaran dan pilih suara dengan loghat yang diperlukan oleh pendengar.\n\nSoalan lazim produk TTS lengkap pengeluar secara jelas memberikan had maksimum input API 40,000 aksara untuk Turbo v2.5. Anggaran panjang rakaman yang berkaitan bukan tempoh tepat: suara, bahasa dan kadar pertuturan menentukan panjang rakaman sebenar. Untuk respons perbualan, berikan idea lengkap yang pendek dan bukannya memenuhi ruang input yang tersedia. Untuk kandungan lebih panjang, bahagikan skrip kepada bahagian berkaitan dan kekalkan konteks sekeliling.\n\nElevenLabs menerangkan Turbo v2.5 dan Flash v2.5 sebagai model pengeluar yang setara dari segi fungsi, dengan purata kependaman yang lebih rendah untuk Flash. Kedua-duanya mengekalkan nama dan kad berasingan; perbandingan itu tidak menetapkan pemberat atau masa respons sesuatu runtime tertentu. Turbo v2.5 kekal sebagai profil sintesis berbilang bahasa bernama yang berguna apabila tugas atau aplikasi merekodkan edisi khusus itu. Penyediaan suara dan teksnya patut disimpan bersama hasil pilihan apabila membandingkan persembahan.\n\nPenyediaan sebutan paling penting untuk nama, kod rujukan, tarikh dan istilah yang disingkatkan. Tulis digit satu demi satu apabila pendengar mesti mengulang pengecam dan tulis bentuk penuh frasa apabila makna lisannya akan mengelirukan tanpa pengembangan itu. Gunakan ejaan alternatif atau alias sebutan yang konsisten untuk nama sukar yang berulang. Panduan kamus tidak menyenaraikan Turbo v2.5 antara model yang menggunakan peraturan fonem, maka ciri IPA natif atau fonem edisi bernama lain tidak dipindahkan ke dalam profil ini.\n\nNada dan irama datang daripada teks, tanda baca, suara dan tetapan suara pengeluar. Panduan produk bersama menerangkan stability untuk ketekalan, similarity untuk kemiripan dan tetapan speed dari 0.7 hingga 1.2 dengan 1.0 mengekalkan kelajuan. Bahasa asal dan rentak suara boleh mempengaruhi hasil berbilang bahasa. Arahan emosi yang ditulis sebagai narasi biasa boleh dituturkan, manakala kawalan tag audio v3 dan v4 ialah ciri model yang berasingan. Sediakan balasan pertuturan yang bersih dan jelaskan suasana hati yang dimaksudkan melalui perkataan.\n\nAliran kerja TTS bersama mendokumenkan penjanaan pertuturan penuh dan audio berstrim. Keluarga formatnya merangkumi MP3, PCM 16 bit tanpa pemampatan, μ-law dan A-law untuk telefon, serta Opus. Pilih format yang sesuai dengan destinasi main balik dan simpan skrip di sisi audio pilihan. Penstriman berkaitan dengan cara pertuturan yang dijana disampaikan; ia berasingan daripada mendengar pengguna, mengesan giliran atau menentukan tindakan yang patut diambil oleh pembantu.\n\nUntuk balasan pembantu berbilang bahasa yang praktikal, sahkan satu hasil dan nyatakan satu langkah seterusnya. Petunjuk tutorial boleh menamakan kawalan yang patut digunakan oleh pengguna dan menerangkan perkara yang berlaku selepas kawalan itu dipilih. Sesuaikan perkataan itu untuk setiap bahasa, dengan mengekalkan nama dan tindakan sebenar dan bukannya menterjemahkan ayat yang janggal secara mekanikal. Semak ayat yang mencerminkan kandungan dari segi sebutan, loghat, kejelasan pertuturan dan cara ia menyusuli giliran terdahulu. Hasil yang boleh digunakan semula ialah rakaman pertuturan yang dikaitkan dengan skrip, suara dan edisi Turbo v2.5 yang tepat.",
    "alias_of": null,
    "aliases": [],
    "author": "ElevenLabs",
    "available": null,
    "canonical_model": "elevenlabs/eleven-turbo-v2.5",
    "capabilities": {
      "context_length": 0,
      "manufacturer_input": [
        "text"
      ],
      "manufacturer_output": [
        "speech"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.00008",
            "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": "0.00008",
            "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": "elevenlabs/eleven-turbo-v2.5",
    "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": [
                  "elevenlabs/eleven-turbo-v2.5"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "limit_known": true,
                "maximum_length": 40000,
                "min_length": 1,
                "name": "input",
                "required": true,
                "type": "string",
                "unit": "aksara Unicode"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "george",
                  "sarah",
                  "adam",
                  "alice",
                  "bella",
                  "bill",
                  "brian",
                  "callum",
                  "charlie",
                  "chris",
                  "daniel",
                  "eric",
                  "harry",
                  "jessica",
                  "laura",
                  "liam",
                  "lily",
                  "matilda",
                  "river",
                  "roger",
                  "will"
                ],
                "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": 40000,
            "other_options": false,
            "required": [
              "model",
              "input",
              "voice",
              "response_format"
            ],
            "response_format": [
              "mp3"
            ],
            "voice_ids": [
              "george",
              "sarah",
              "adam",
              "alice",
              "bella",
              "bill",
              "brian",
              "callum",
              "charlie",
              "chris",
              "daniel",
              "eric",
              "harry",
              "jessica",
              "laura",
              "liam",
              "lily",
              "matilda",
              "river",
              "roger",
              "will"
            ]
          },
          "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": "0.00008",
                "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": "0.00008",
                "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": "c7663bd2b68eeea58a26",
            "label": "ElevenLabs: Eleven Turbo v2.5",
            "profiles": [
              {
                "basis": "",
                "dimensions": {
                  "conditions": "Konfigurasi lalai"
                },
                "label": "ElevenLabs: Eleven Turbo v2.5 · Konfigurasi lalai",
                "units": [
                  {
                    "amount": "0.00004",
                    "amount_unit": "usd_per_exact_physical_unit",
                    "billing_input": false,
                    "key": "b962928f7d2b1e74db2fc4bd",
                    "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\": \"elevenlabs/eleven-turbo-v2.5\", \"input\": \"Good afternoon! This is a short voice take.\"}')\nvoice=os.environ[\"AILOOT_VOICE_ID\"]\nallowed=json.loads('[\"george\", \"sarah\", \"adam\", \"alice\", \"bella\", \"bill\", \"brian\", \"callum\", \"charlie\", \"chris\", \"daniel\", \"eric\", \"harry\", \"jessica\", \"laura\", \"liam\", \"lily\", \"matilda\", \"river\", \"roger\", \"will\"]')\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": 8e-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": "0.00008",
                "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": "0.00008",
                "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": "elevenlabs/eleven-turbo-v2.5",
        "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": "0.00008",
            "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": "0.00008",
            "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": "elevenlabs/eleven-turbo-v2.5",
        "request_model_id": "elevenlabs/eleven-turbo-v2.5",
        "route_label": "Ultra"
      }
    ],
    "name": "ElevenLabs: Eleven Turbo v2.5",
    "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": "0.00008",
            "amount_unit": "usd_per_declared_unit",
            "conditions": {},
            "key": "characters",
            "label": "characters",
            "quantity": "1",
            "rate_role": "typed_published_regular_rate",
            "side": "in",
            "unit": "input_character"
          }
        ]
      }
    ],
    "public_id": "elevenlabs/eleven-turbo-v2.5",
    "short": "Eleven Turbo v2.5 ialah edisi teks ke pertuturan berbilang bahasa ElevenLabs untuk aplikasi suara yang responsif. Ia menyokong 32 bahasa dan sehingga 40,000 aksara bagi setiap permintaan API, menukar balasan yang disediakan kepada audio pertuturan dengan suara pilihan."
  },
  "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": "Eleven Turbo v2.5 ialah edisi teks ke pertuturan berbilang bahasa ElevenLabs untuk aplikasi suara yang responsif. Ia menyokong 32 bahasa dan sehingga 40,000 aksara bagi setiap permintaan API, menukar balasan yang disediakan kepada audio pertuturan dengan suara pilihan.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "9266836444bbb7249cbaf43bb068d76aa95fc7447d916c940ec10db74e0e0037",
    "renderer_sha256": "1dab5ba62521e9568c8b7c82005622cabbf330a075df7cce1f83274a04009460"
  },
  "sourceRevision": "26d9fa7e6deaafb8f647cc03bbab80ec8b4ef10f5a90a99b63ff9bdcd65406f1"
}