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  "aboutHtml": "<p>GLM-TTS ialah model sintesis pertuturan Zhipu yang dipilih dengan ID tepat glm-tts. Hantar POST /v1/audio/speech bersama model, input dan voice. Letakkan perkataan yang perlu dituturkan terus dalam input, dan pilih response_format=wav untuk profil ini. Hasilnya ialah rakaman pertuturan skrip yang dibekalkan, sesuai untuk main balik atau diimport ke dalam penyunting audio atau video.</p><p>Gunakannya untuk penerangan produk pendek, ucapan alu-aluan, petikan arahan atau pengumuman. Sediakan skrip sebagaimana ia patut dibaca dengan lantang: sertakan pemisah ayat yang dikehendaki dan eja istilah yang sebutannya penting bagi tugasan. Untuk tutorial, satu permintaan boleh mengandungi arahan terfokus yang mengiringi satu langkah yang kelihatan. Untuk mesej alu-aluan, bekalkan kata-kata sebenar dan semak rakaman sebelum meletakkannya dalam aliran pelanggan.</p><p>Panjang input maksimum yang didokumenkan ialah 1,024 aksara. Gunakan teks yang telah siap semasa menyemak had ini, termasuk tanda baca dan jarak. Narasi yang lebih panjang memerlukan skrip dibahagikan kepada petikan yang sesuai; simpan urutan petikan dan tetapan yang dipilih bersama rakaman supaya semuanya boleh digabungkan dan disemak bersama. Had aksara menerangkan teks input dan tidak menetapkan tempoh rakaman yang tetap.</p><p>Skema voice menyenaraikan tongtong, chuichui, jam, kazi, douji dan luodo. Contoh yang diterbitkan menggunakan tongtong dengan speed=1 dan volume=1. Kedua-dua speed dan volume ialah kawalan pilihan dengan nilai lalai yang didokumenkan sebanyak 1. Untuk kaedah WAV ini, speed ialah integer yang menerima 1 atau 2, dan volume ialah integer dari 1 hingga 10. Boolean watermark_enabled pilihan mengawal tera air audio. Biarkan stream tidak ditetapkan atau tetapkan kepada false untuk menerima rakaman WAV lengkap. Mulakan dengan contoh jelas itu semasa menyediakan rakaman pertama, kemudian kekalkan voice yang dipilih dan tetapan yang diterima secara konsisten merentas petikan berkaitan.</p><p>Rakaman WAV ialah output siap bagi permintaan pertuturan. Simpan hasil audio lengkap dan maklumat balasannya, kemudian dengar keseluruhan petikan untuk menyemak sebutan, kata-kata, jeda dan urutan yang dikehendaki. Simpan skrip sumber yang tepat di sebelah rakaman semasa menyediakan pindaan. Jika hasil sesuatu permintaan tidak pasti, simpan permintaan asal dan maklumat hasil yang dikembalikan sebelum mencipta permintaan sintesis lain; ketiadaan fail main balik semata-mata tidak membuktikan bahawa tiada rakaman dicipta.</p>",
  "aboutText": "GLM-TTS ialah model sintesis pertuturan Zhipu yang dipilih dengan ID tepat glm-tts. Hantar POST /v1/audio/speech bersama model, input dan voice. Letakkan perkataan yang perlu dituturkan terus dalam input, dan pilih response_format=wav untuk profil ini. Hasilnya ialah rakaman pertuturan skrip yang dibekalkan, sesuai untuk main balik atau diimport ke dalam penyunting audio atau video.\n\nGunakannya untuk penerangan produk pendek, ucapan alu-aluan, petikan arahan atau pengumuman. Sediakan skrip sebagaimana ia patut dibaca dengan lantang: sertakan pemisah ayat yang dikehendaki dan eja istilah yang sebutannya penting bagi tugasan. Untuk tutorial, satu permintaan boleh mengandungi arahan terfokus yang mengiringi satu langkah yang kelihatan. Untuk mesej alu-aluan, bekalkan kata-kata sebenar dan semak rakaman sebelum meletakkannya dalam aliran pelanggan.\n\nPanjang input maksimum yang didokumenkan ialah 1,024 aksara. Gunakan teks yang telah siap semasa menyemak had ini, termasuk tanda baca dan jarak. Narasi yang lebih panjang memerlukan skrip dibahagikan kepada petikan yang sesuai; simpan urutan petikan dan tetapan yang dipilih bersama rakaman supaya semuanya boleh digabungkan dan disemak bersama. Had aksara menerangkan teks input dan tidak menetapkan tempoh rakaman yang tetap.\n\nSkema voice menyenaraikan tongtong, chuichui, jam, kazi, douji dan luodo. Contoh yang diterbitkan menggunakan tongtong dengan speed=1 dan volume=1. Kedua-dua speed dan volume ialah kawalan pilihan dengan nilai lalai yang didokumenkan sebanyak 1. Untuk kaedah WAV ini, speed ialah integer yang menerima 1 atau 2, dan volume ialah integer dari 1 hingga 10. Boolean watermark_enabled pilihan mengawal tera air audio. Biarkan stream tidak ditetapkan atau tetapkan kepada false untuk menerima rakaman WAV lengkap. Mulakan dengan contoh jelas itu semasa menyediakan rakaman pertama, kemudian kekalkan voice yang dipilih dan tetapan yang diterima secara konsisten merentas petikan berkaitan.\n\nRakaman WAV ialah output siap bagi permintaan pertuturan. Simpan hasil audio lengkap dan maklumat balasannya, kemudian dengar keseluruhan petikan untuk menyemak sebutan, kata-kata, jeda dan urutan yang dikehendaki. Simpan skrip sumber yang tepat di sebelah rakaman semasa menyediakan pindaan. Jika hasil sesuatu permintaan tidak pasti, simpan permintaan asal dan maklumat hasil yang dikembalikan sebelum mencipta permintaan sintesis lain; ketiadaan fail main balik semata-mata tidak membuktikan bahawa tiada rakaman dicipta.",
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    {
      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">glm-tts</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Tutup\">×</button></div><div class=\"idline\"><span>ZHIPU /</span><code>glm-tts</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|glm-tts\">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\">GLM-TTS menukar skrip yang dibekalkan menjadi audio pertuturan. Profil glm-tts menggunakan kaedah Audio Speech dengan voice yang dinyatakan secara jelas dan output WAV, menjadikannya sesuai untuk narasi pendek, arahan lisan dan main balik mesej. Sediakan teks dalam had input 1,024 aksara yang didokumenkan.</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>GLM-TTS ialah model sintesis pertuturan Zhipu yang dipilih dengan ID tepat glm-tts. Hantar POST /v1/audio/speech bersama model, input dan voice. Letakkan perkataan yang perlu dituturkan terus dalam input, dan pilih response_format=wav untuk profil ini. Hasilnya ialah rakaman pertuturan skrip yang dibekalkan, sesuai untuk main balik atau diimport ke dalam penyunting audio atau video.</p><p>Gunakannya untuk penerangan produk pendek, ucapan alu-aluan, petikan arahan atau pengumuman. Sediakan skrip sebagaimana ia patut dibaca dengan lantang: sertakan pemisah ayat yang dikehendaki dan eja istilah yang sebutannya penting bagi tugasan. Untuk tutorial, satu permintaan boleh mengandungi arahan terfokus yang mengiringi satu langkah yang kelihatan. Untuk mesej alu-aluan, bekalkan kata-kata sebenar dan semak rakaman sebelum meletakkannya dalam aliran pelanggan.</p><p>Panjang input maksimum yang didokumenkan ialah 1,024 aksara. Gunakan teks yang telah siap semasa menyemak had ini, termasuk tanda baca dan jarak. Narasi yang lebih panjang memerlukan skrip dibahagikan kepada petikan yang sesuai; simpan urutan petikan dan tetapan yang dipilih bersama rakaman supaya semuanya boleh digabungkan dan disemak bersama. Had aksara menerangkan teks input dan tidak menetapkan tempoh rakaman yang tetap.</p><p>Skema voice menyenaraikan tongtong, chuichui, jam, kazi, douji dan luodo. Contoh yang diterbitkan menggunakan tongtong dengan speed=1 dan volume=1. Kedua-dua speed dan volume ialah kawalan pilihan dengan nilai lalai yang didokumenkan sebanyak 1. Untuk kaedah WAV ini, speed ialah integer yang menerima 1 atau 2, dan volume ialah integer dari 1 hingga 10. Boolean watermark_enabled pilihan mengawal tera air audio. Biarkan stream tidak ditetapkan atau tetapkan kepada false untuk menerima rakaman WAV lengkap. Mulakan dengan contoh jelas itu semasa menyediakan rakaman pertama, kemudian kekalkan voice yang dipilih dan tetapan yang diterima secara konsisten merentas petikan berkaitan.</p><p>Rakaman WAV ialah output siap bagi permintaan pertuturan. Simpan hasil audio lengkap dan maklumat balasannya, kemudian dengar keseluruhan petikan untuk menyemak sebutan, kata-kata, jeda dan urutan yang dikehendaki. Simpan skrip sumber yang tepat di sebelah rakaman semasa menyediakan pindaan. Jika hasil sesuatu permintaan tidak pasti, simpan permintaan asal dan maklumat hasil yang dikembalikan sebelum mencipta permintaan sintesis lain; ketiadaan fail main balik semata-mata tidak membuktikan bahawa tiada rakaman dicipta.</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 · Speech</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>wav</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><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>glm-tts</div></td><td data-cell-label=\"Lalai\" data-default=\"unspecified\"><span class=\"card-cell-label\">Lalai</span>—</td></tr><tr><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></td><td data-cell-label=\"Lalai\" data-default=\"unspecified\"><span class=\"card-cell-label\">Lalai</span>—</td></tr><tr><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>tongtong, chuichui, jam, kazi, douji, luodo</div></td><td data-cell-label=\"Lalai\" data-default=\"unspecified\"><span class=\"card-cell-label\">Lalai</span>—</td></tr><tr><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>wav</div></td><td data-cell-label=\"Lalai\" data-default=\"unspecified\"><span class=\"card-cell-label\">Lalai</span>—</td></tr><tr><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">encode_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>Pilihan</td><td data-cell-label=\"Nilai &amp; had\"><span class=\"card-cell-label\">Nilai &amp; had</span><div>base64, hex</div></td><td data-cell-label=\"Lalai\" data-default=\"unspecified\"><span class=\"card-cell-label\">Lalai</span>—</td></tr><tr><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">speed</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>integer</code></td><td data-cell-label=\"Keperluan\"><span class=\"card-cell-label\">Keperluan</span>Pilihan</td><td data-cell-label=\"Nilai &amp; had\"><span class=\"card-cell-label\">Nilai &amp; had</span><div>Minimum: 1</div><div>Maksimum: 2</div></td><td data-cell-label=\"Lalai\" data-default=\"known\"><span class=\"card-cell-label\">Lalai</span>1</td></tr><tr><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">volume</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>integer</code></td><td data-cell-label=\"Keperluan\"><span class=\"card-cell-label\">Keperluan</span>Pilihan</td><td data-cell-label=\"Nilai &amp; had\"><span class=\"card-cell-label\">Nilai &amp; had</span><div>Minimum: 1</div><div>Maksimum: 10</div></td><td data-cell-label=\"Lalai\" data-default=\"known\"><span class=\"card-cell-label\">Lalai</span>1</td></tr><tr><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">watermark_enabled</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>boolean</code></td><td data-cell-label=\"Keperluan\"><span class=\"card-cell-label\">Keperluan</span>Pilihan</td><td data-cell-label=\"Nilai &amp; had\"><span class=\"card-cell-label\">Nilai &amp; had</span></td><td data-cell-label=\"Lalai\" data-default=\"unspecified\"><span class=\"card-cell-label\">Lalai</span>—</td></tr><tr><th data-cell-label=\"Medan\" scope=\"row\"><span class=\"card-cell-label\">Medan</span><code class=\"card-field-name\">stream</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>boolean</code></td><td data-cell-label=\"Keperluan\"><span class=\"card-cell-label\">Keperluan</span>Pilihan</td><td data-cell-label=\"Nilai &amp; had\"><span class=\"card-cell-label\">Nilai &amp; had</span><div>false</div></td><td data-cell-label=\"Lalai\" data-default=\"unspecified\"><span class=\"card-cell-label\">Lalai</span>—</td></tr></tbody></table></div><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>optional</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>encode_format, speed, volume, watermark_enabled, stream</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>material_types</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>text</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>conditions</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>Use direct WAV output. speed and volume are positive integers within the listed bounds. stream is false or omitted.</td></tr></tbody></table></div><p>Kitar hayat: <code>synchronous_result_then_owned_library</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></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>Kuantiti pengebilan</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=\"Kuantiti pengebilan\"><span class=\"card-cell-label\">Kuantiti pengebilan</span>—</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=\"Kuantiti pengebilan\"><span class=\"card-cell-label\">Kuantiti pengebilan</span>—</td><td data-cell-label=\"Unit pengebilan\"><span class=\"card-cell-label\">Unit pengebilan</span>bagi setiap aksara masukan</td><td data-cell-label=\"Caj\"><span class=\"card-cell-label\">Caj</span><div><span>Input · aksara input</span> <b>$0.00006</b> <span class=\"price-unit\">bagi setiap aksara masukan</span></div></td></tr><tr><th data-cell-label=\"Konfigurasi\" scope=\"row\"><span class=\"card-cell-label\">Konfigurasi</span>Bagi setiap permintaan</th><td data-cell-label=\"Jadual kadar\"><span class=\"card-cell-label\">Jadual kadar</span>—</td><td data-cell-label=\"Kuantiti pengebilan\"><span class=\"card-cell-label\">Kuantiti pengebilan</span>satu permintaan</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</span> <b>$0</b> <span class=\"price-unit\">bagi setiap permintaan</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot merizabkan anggaran amaun sebelum permintaan. Selepas hasil diterima, caj akhir diselesaikan berdasarkan penggunaan terukur. Penyelesaian caj penstriman menggunakan rekod penggunaan akhir. <a href=\"/docs/ms/billing/reserve/\">Cara rizab dan penyelesaian caj berfungsi →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">Contoh permintaan</h3><h4>Ailoot Ultra · Speech</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Pilihan kod\"><button class=\"cg-tab\" id=\"model-code-12-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-12-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · cipta sekali sahaja dan simpan hasil lengkap</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Salin kod\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-12-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-12-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nexport AILOOT_API_KEY\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np=json.loads(&#39;{&quot;model&quot;: &quot;glm-tts&quot;, &quot;input&quot;: &quot;Hello, this is a short speech example.&quot;, &quot;voice&quot;: &quot;tongtong&quot;, &quot;response_format&quot;: &quot;wav&quot;}&#39;)\n\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 result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\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 · Speech</h4><p class=\"note-s\">wav</p><ul class=\"card-result-paths\"><li><code>GET /v1/media/assets</code></li><li><code>GET /v1/media/assets/{asset_id}</code></li></ul><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\">Retain the complete binary WAV, response headers and original request identity.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Jika respons asal perlu disemak</h5><p class=\"note-s\">Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.</p></div></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=glm-tts&amp;route=Ultra&amp;caller=glm-tts&amp;fmt=speech\"><code>glm-tts</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=glm-tts&amp;route=Ultra&amp;caller=glm-tts&amp;fmt=speech\"><code>glm-tts</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "glm-tts",
        "fmt": "speech",
        "http": "POST",
        "path": "/v1/audio/speech",
        "request_model_id": "glm-tts",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|speech|/v1/audio/speech|glm-tts",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "example_body": {
              "input": "Hello, this is a short speech example.",
              "model": "glm-tts",
              "response_format": "wav",
              "voice": "tongtong"
            },
            "lifecycle": {
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets",
                  "query": {
                    "cursor": "actual returned next_cursor, when present",
                    "family": "audio"
                  }
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/audio/speech"
              },
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "owned_content": {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "Use the exact returned content_url. Refresh an expired link by reading the same existing asset."
              },
              "status": [],
              "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "Retain the complete binary WAV, response headers and original request identity.",
              "family": "audio",
              "format": "wav"
            },
            "parameters": [
              {
                "default_known": false,
                "enum": [
                  "glm-tts"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maxLength": 1024,
                "minLength": 1,
                "name": "input",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum": [
                  "tongtong",
                  "chuichui",
                  "jam",
                  "kazi",
                  "douji",
                  "luodo"
                ],
                "enum_known": true,
                "name": "voice",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum": [
                  "wav"
                ],
                "enum_known": true,
                "name": "response_format",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum": [
                  "base64",
                  "hex"
                ],
                "enum_known": true,
                "name": "encode_format",
                "required": false,
                "type": "string"
              },
              {
                "default": 1,
                "default_known": true,
                "enum_known": false,
                "maximum": 2,
                "minimum": 1,
                "name": "speed",
                "required": false,
                "type": "integer"
              },
              {
                "default": 1,
                "default_known": true,
                "enum_known": false,
                "maximum": 10,
                "minimum": 1,
                "name": "volume",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "watermark_enabled",
                "required": false,
                "type": "boolean"
              },
              {
                "default_known": false,
                "enum": [
                  false
                ],
                "enum_known": true,
                "name": "stream",
                "required": false,
                "type": "boolean"
              }
            ],
            "request_schema": {
              "properties": {
                "encode_format": {
                  "enum": [
                    "base64",
                    "hex"
                  ],
                  "type": "string"
                },
                "input": {
                  "maxLength": 1024,
                  "minLength": 1,
                  "type": "string"
                },
                "model": {
                  "enum": [
                    "glm-tts"
                  ],
                  "type": "string"
                },
                "response_format": {
                  "enum": [
                    "wav"
                  ],
                  "type": "string"
                },
                "speed": {
                  "default": 1,
                  "maximum": 2,
                  "minimum": 1,
                  "type": "integer"
                },
                "stream": {
                  "enum": [
                    false
                  ],
                  "type": "boolean"
                },
                "voice": {
                  "enum": [
                    "tongtong",
                    "chuichui",
                    "jam",
                    "kazi",
                    "douji",
                    "luodo"
                  ],
                  "type": "string"
                },
                "volume": {
                  "default": 1,
                  "maximum": 10,
                  "minimum": 1,
                  "type": "integer"
                },
                "watermark_enabled": {
                  "type": "boolean"
                }
              },
              "required": [
                "model",
                "input",
                "voice",
                "response_format"
              ],
              "type": "object"
            },
            "schema_template": {
              "body": {
                "input": "Hello, this is a short speech example.",
                "model": "glm-tts",
                "response_format": "wav",
                "voice": "tongtong"
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Use direct WAV output. speed and volume are positive integers within the listed bounds. stream is false or omitted."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [
              "encode_format",
              "speed",
              "volume",
              "watermark_enabled",
              "stream"
            ],
            "required": [
              "model",
              "input",
              "voice",
              "response_format"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets",
                "query": {
                  "cursor": "actual returned next_cursor, when present",
                  "family": "audio"
                }
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/audio/speech"
            },
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "owned_content": {
              "http": "GET",
              "path": "/v1/media/assets/{asset_id}/content",
              "url_source": "Use the exact returned content_url. Refresh an expired link by reading the same existing asset."
            },
            "status": [],
            "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/audio/speech"
          },
          "method_aliases": [],
          "output": {
            "all_results": "Retain the complete binary WAV, response headers and original request identity.",
            "family": "audio",
            "format": "wav"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input character"
            },
            "label": "input character",
            "units": [
              {
                "amount": "0.00006",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_input_character",
                "label": "input character",
                "native_amount_usd_per_unit": "0.00006",
                "native_quantity": 1,
                "public_unit_label": "per input character",
                "quantity": 1,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_character"
              }
            ]
          },
          {
            "dimensions": {
              "billing_quantity": "one request"
            },
            "label": "Per request",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": true,
                "estimate_only": false,
                "key": "per_request",
                "label": "per request",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "public_unit_label": "per request",
                "quantity": 1,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "per_request"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"glm-tts\", \"input\": \"Hello, this is a short speech example.\", \"voice\": \"tongtong\", \"response_format\": \"wav\"}')\n\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 result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "speech",
        "http": "POST",
        "img_in": null,
        "img_out": null,
        "in": null,
        "input": [
          "text"
        ],
        "label": "Speech",
        "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",
          "cache_read_price": null,
          "cache_write_1h_price": null,
          "cache_write_price": null,
          "fast_multiplier": null,
          "flex_multiplier": null,
          "image_input_price": null,
          "image_output_price": null,
          "input_price": null,
          "intervals": null,
          "max_reasoning_effort_multiplier": null,
          "output_price": null,
          "per_request_price": 0,
          "unit_prices": {
            "audio_input_character": "0.00006"
          }
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input character"
            },
            "label": "input character",
            "units": [
              {
                "amount": "0.00006",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_input_character",
                "label": "input character",
                "native_amount_usd_per_unit": "0.00006",
                "native_quantity": 1,
                "public_unit_label": "per input character",
                "quantity": 1,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_character"
              }
            ]
          },
          {
            "dimensions": {
              "billing_quantity": "one request"
            },
            "label": "Per request",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": true,
                "estimate_only": false,
                "key": "per_request",
                "label": "per request",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "public_unit_label": "per request",
                "quantity": 1,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "per_request"
              }
            ]
          }
        ],
        "request_model_id": "glm-tts",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "unit": "per_request",
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.00006",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": true,
            "estimate_only": false,
            "key": "audio_input_character",
            "label": "input character",
            "native_amount_usd_per_unit": "0.00006",
            "native_quantity": 1,
            "public_unit_label": "per input character",
            "quantity": 1,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "audio_input_character"
          },
          {
            "amount": "0",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": true,
            "estimate_only": false,
            "key": "per_request",
            "label": "per request",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "public_unit_label": "per request",
            "quantity": 1,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "per_request"
          }
        ]
      }
    }
  ],
  "model_id": "glm-tts",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "b1f5bbc302db77e61d3264bb6a78b3e300dfb208849f8ee0504b2eaa98b8fbc3",
    "input_html_sha256": "41ef7c19d4b46aedf7c140d95ffca2ce294a9fb75afb9842b29d73a8c7c499b3",
    "private_audit_sha256": "e89fe90ee7384baf9695426fb0470c291764e25ed378c5af582d4ce5dc069677",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/ms/glm-tts/",
    "description": "GLM-TTS menukar skrip yang dibekalkan menjadi audio pertuturan. Profil glm-tts menggunakan kaedah Audio Speech dengan voice yang dinyatakan secara jelas dan output WAV, menjadikannya sesuai untuk narasi pendek, arahan lisan dan main balik mesej. Sediakan teks dalam had input 1,024 aksara yang didokumenkan.",
    "locale": "ms",
    "md_url": "https://ailoot.ai/models/ms/glm-tts/index.md",
    "title": "glm-tts — Ailoot",
    "url": "https://ailoot.ai/models/ms/glm-tts/"
  },
  "rawModel": {
    "about": "GLM-TTS ialah model sintesis pertuturan Zhipu yang dipilih dengan ID tepat glm-tts. Hantar POST /v1/audio/speech bersama model, input dan voice. Letakkan perkataan yang perlu dituturkan terus dalam input, dan pilih response_format=wav untuk profil ini. Hasilnya ialah rakaman pertuturan skrip yang dibekalkan, sesuai untuk main balik atau diimport ke dalam penyunting audio atau video.\n\nGunakannya untuk penerangan produk pendek, ucapan alu-aluan, petikan arahan atau pengumuman. Sediakan skrip sebagaimana ia patut dibaca dengan lantang: sertakan pemisah ayat yang dikehendaki dan eja istilah yang sebutannya penting bagi tugasan. Untuk tutorial, satu permintaan boleh mengandungi arahan terfokus yang mengiringi satu langkah yang kelihatan. Untuk mesej alu-aluan, bekalkan kata-kata sebenar dan semak rakaman sebelum meletakkannya dalam aliran pelanggan.\n\nPanjang input maksimum yang didokumenkan ialah 1,024 aksara. Gunakan teks yang telah siap semasa menyemak had ini, termasuk tanda baca dan jarak. Narasi yang lebih panjang memerlukan skrip dibahagikan kepada petikan yang sesuai; simpan urutan petikan dan tetapan yang dipilih bersama rakaman supaya semuanya boleh digabungkan dan disemak bersama. Had aksara menerangkan teks input dan tidak menetapkan tempoh rakaman yang tetap.\n\nSkema voice menyenaraikan tongtong, chuichui, jam, kazi, douji dan luodo. Contoh yang diterbitkan menggunakan tongtong dengan speed=1 dan volume=1. Kedua-dua speed dan volume ialah kawalan pilihan dengan nilai lalai yang didokumenkan sebanyak 1. Untuk kaedah WAV ini, speed ialah integer yang menerima 1 atau 2, dan volume ialah integer dari 1 hingga 10. Boolean watermark_enabled pilihan mengawal tera air audio. Biarkan stream tidak ditetapkan atau tetapkan kepada false untuk menerima rakaman WAV lengkap. Mulakan dengan contoh jelas itu semasa menyediakan rakaman pertama, kemudian kekalkan voice yang dipilih dan tetapan yang diterima secara konsisten merentas petikan berkaitan.\n\nRakaman WAV ialah output siap bagi permintaan pertuturan. Simpan hasil audio lengkap dan maklumat balasannya, kemudian dengar keseluruhan petikan untuk menyemak sebutan, kata-kata, jeda dan urutan yang dikehendaki. Simpan skrip sumber yang tepat di sebelah rakaman semasa menyediakan pindaan. Jika hasil sesuatu permintaan tidak pasti, simpan permintaan asal dan maklumat hasil yang dikembalikan sebelum mencipta permintaan sintesis lain; ketiadaan fail main balik semata-mata tidak membuktikan bahawa tiada rakaman dicipta.",
    "alias_of": null,
    "aliases": [],
    "author": "ZHIPU",
    "ctx": null,
    "formats": [
      "speech"
    ],
    "id": "glm-tts",
    "input": [
      "text"
    ],
    "kind": "speech",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "example_body": {
              "input": "Hello, this is a short speech example.",
              "model": "glm-tts",
              "response_format": "wav",
              "voice": "tongtong"
            },
            "lifecycle": {
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets",
                  "query": {
                    "cursor": "actual returned next_cursor, when present",
                    "family": "audio"
                  }
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/audio/speech"
              },
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "owned_content": {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "Use the exact returned content_url. Refresh an expired link by reading the same existing asset."
              },
              "status": [],
              "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "Retain the complete binary WAV, response headers and original request identity.",
              "family": "audio",
              "format": "wav"
            },
            "parameters": [
              {
                "default_known": false,
                "enum": [
                  "glm-tts"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maxLength": 1024,
                "minLength": 1,
                "name": "input",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum": [
                  "tongtong",
                  "chuichui",
                  "jam",
                  "kazi",
                  "douji",
                  "luodo"
                ],
                "enum_known": true,
                "name": "voice",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum": [
                  "wav"
                ],
                "enum_known": true,
                "name": "response_format",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum": [
                  "base64",
                  "hex"
                ],
                "enum_known": true,
                "name": "encode_format",
                "required": false,
                "type": "string"
              },
              {
                "default": 1,
                "default_known": true,
                "enum_known": false,
                "maximum": 2,
                "minimum": 1,
                "name": "speed",
                "required": false,
                "type": "integer"
              },
              {
                "default": 1,
                "default_known": true,
                "enum_known": false,
                "maximum": 10,
                "minimum": 1,
                "name": "volume",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "watermark_enabled",
                "required": false,
                "type": "boolean"
              },
              {
                "default_known": false,
                "enum": [
                  false
                ],
                "enum_known": true,
                "name": "stream",
                "required": false,
                "type": "boolean"
              }
            ],
            "request_schema": {
              "properties": {
                "encode_format": {
                  "enum": [
                    "base64",
                    "hex"
                  ],
                  "type": "string"
                },
                "input": {
                  "maxLength": 1024,
                  "minLength": 1,
                  "type": "string"
                },
                "model": {
                  "enum": [
                    "glm-tts"
                  ],
                  "type": "string"
                },
                "response_format": {
                  "enum": [
                    "wav"
                  ],
                  "type": "string"
                },
                "speed": {
                  "default": 1,
                  "maximum": 2,
                  "minimum": 1,
                  "type": "integer"
                },
                "stream": {
                  "enum": [
                    false
                  ],
                  "type": "boolean"
                },
                "voice": {
                  "enum": [
                    "tongtong",
                    "chuichui",
                    "jam",
                    "kazi",
                    "douji",
                    "luodo"
                  ],
                  "type": "string"
                },
                "volume": {
                  "default": 1,
                  "maximum": 10,
                  "minimum": 1,
                  "type": "integer"
                },
                "watermark_enabled": {
                  "type": "boolean"
                }
              },
              "required": [
                "model",
                "input",
                "voice",
                "response_format"
              ],
              "type": "object"
            },
            "schema_template": {
              "body": {
                "input": "Hello, this is a short speech example.",
                "model": "glm-tts",
                "response_format": "wav",
                "voice": "tongtong"
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Use direct WAV output. speed and volume are positive integers within the listed bounds. stream is false or omitted."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [
              "encode_format",
              "speed",
              "volume",
              "watermark_enabled",
              "stream"
            ],
            "required": [
              "model",
              "input",
              "voice",
              "response_format"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets",
                "query": {
                  "cursor": "actual returned next_cursor, when present",
                  "family": "audio"
                }
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/audio/speech"
            },
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "owned_content": {
              "http": "GET",
              "path": "/v1/media/assets/{asset_id}/content",
              "url_source": "Use the exact returned content_url. Refresh an expired link by reading the same existing asset."
            },
            "status": [],
            "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/audio/speech"
          },
          "method_aliases": [],
          "output": {
            "all_results": "Retain the complete binary WAV, response headers and original request identity.",
            "family": "audio",
            "format": "wav"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input character"
            },
            "label": "input character",
            "units": [
              {
                "amount": "0.00006",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_input_character",
                "label": "input character",
                "native_amount_usd_per_unit": "0.00006",
                "native_quantity": 1,
                "public_unit_label": "per input character",
                "quantity": 1,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_character"
              }
            ]
          },
          {
            "dimensions": {
              "billing_quantity": "one request"
            },
            "label": "Per request",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": true,
                "estimate_only": false,
                "key": "per_request",
                "label": "per request",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "public_unit_label": "per request",
                "quantity": 1,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "per_request"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"glm-tts\", \"input\": \"Hello, this is a short speech example.\", \"voice\": \"tongtong\", \"response_format\": \"wav\"}')\n\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 result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "speech",
        "http": "POST",
        "img_in": null,
        "img_out": null,
        "in": null,
        "input": [
          "text"
        ],
        "label": "Speech",
        "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",
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          },
          {
            "label": "Flex mode",
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            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
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        ],
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          "cache_read_price": null,
          "cache_write_1h_price": null,
          "cache_write_price": null,
          "fast_multiplier": null,
          "flex_multiplier": null,
          "image_input_price": null,
          "image_output_price": null,
          "input_price": null,
          "intervals": null,
          "max_reasoning_effort_multiplier": null,
          "output_price": null,
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        },
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            },
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                "native_quantity": 1,
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                "native_quantity": 1,
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                "estimate_only": false,
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                "label": "Cache write",
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                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
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            ]
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                "amount_unit": "usd_per_exact_native_unit",
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                "estimate_only": false,
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                "label": "input character",
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            ]
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            ]
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        ],
        "request_model_id": "glm-tts",
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        "tiers": [],
        "unit": "per_request",
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          {
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            "amount_unit": "usd_per_thousand_tokens",
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            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
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            "native_quantity": 1,
            "native_unit": "output_token",
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            "quantity_is_estimate": false,
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            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
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            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
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            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.00006",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": true,
            "estimate_only": false,
            "key": "audio_input_character",
            "label": "input character",
            "native_amount_usd_per_unit": "0.00006",
            "native_quantity": 1,
            "public_unit_label": "per input character",
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            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "audio_input_character"
          },
          {
            "amount": "0",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": true,
            "estimate_only": false,
            "key": "per_request",
            "label": "per request",
            "native_amount_usd_per_unit": "0",
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            "public_unit_label": "per request",
            "quantity": 1,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "per_request"
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        ]
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    ],
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        "canonical_model_id": "glm-tts",
        "request_model_id": "glm-tts",
        "route_label": "Ultra"
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    ],
    "name": "glm-tts",
    "price": {
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      "in_label": null,
      "out": null,
      "out_label": null,
      "sort_in": null,
      "sort_out": null,
      "varies": true
    },
    "short": "GLM-TTS menukar skrip yang dibekalkan menjadi audio pertuturan. Profil glm-tts menggunakan kaedah Audio Speech dengan voice yang dinyatakan secara jelas dan output WAV, menjadikannya sesuai untuk narasi pendek, arahan lisan dan main balik mesej. Sediakan teks dalam had input 1,024 aksara yang didokumenkan."
  },
  "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": "GLM-TTS menukar skrip yang dibekalkan menjadi audio pertuturan. Profil glm-tts menggunakan kaedah Audio Speech dengan voice yang dinyatakan secara jelas dan output WAV, menjadikannya sesuai untuk narasi pendek, arahan lisan dan main balik mesej. Sediakan teks dalam had input 1,024 aksara yang didokumenkan.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
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}