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  "aboutHtml": "<p>GLM-TTS adalah model sintesis ucapan dari Zhipu yang dipilih dengan ID persis glm-tts. Kirim POST /v1/audio/speech dengan model, input, dan voice. Masukkan kata-kata yang akan diucapkan langsung ke input, lalu pilih response_format=wav untuk profil ini. Hasilnya adalah rekaman ucapan dari naskah yang diberikan, cocok untuk diputar atau diimpor ke editor audio maupun video.</p><p>Gunakan untuk penjelasan produk singkat, sambutan lisan, petunjuk, atau pengumuman. Siapkan naskah sebagaimana seharusnya dibaca lantang: sertakan pemisahan kalimat yang diinginkan dan tuliskan istilah secara lengkap jika pelafalannya penting bagi tugas. Untuk tutorial, satu permintaan dapat berisi instruksi terfokus yang menyertai satu langkah yang terlihat. Untuk pesan sambutan, berikan susunan kata yang sebenarnya dan tinjau rekaman sebelum menempatkannya dalam alur pelanggan.</p><p>Panjang masukan maksimal yang didokumentasikan adalah 1.024 karakter. Gunakan teks yang telah selesai saat memeriksa batas ini, termasuk tanda baca dan spasi. Narasi yang lebih panjang memerlukan naskah yang dibagi menjadi bagian yang sesuai; simpan urutan bagian dan pengaturan yang dipilih bersama rekaman agar semuanya dapat dirangkai dan ditinjau bersama. Batas karakter menjelaskan teks masukan dan tidak menetapkan durasi rekaman yang tetap.</p><p>Skema voice mencantumkan tongtong, chuichui, jam, kazi, douji, dan luodo. Contoh yang dipublikasikan menggunakan tongtong dengan speed=1 dan volume=1. Baik speed maupun volume adalah kontrol opsional dengan nilai bawaan 1 yang didokumentasikan. Untuk metode WAV ini, speed adalah bilangan bulat yang menerima 1 atau 2, dan volume adalah bilangan bulat dari 1 hingga 10. Boolean watermark_enabled yang opsional mengontrol watermark audio. Jangan tentukan stream atau atur ke false untuk menerima rekaman WAV lengkap. Mulailah dari contoh eksplisit tersebut saat menyiapkan rekaman pertama, lalu pertahankan voice yang dipilih dan pengaturan yang diterima secara konsisten di seluruh bagian yang berkaitan.</p><p>Rekaman WAV adalah keluaran akhir permintaan ucapan. Simpan seluruh hasil audio dan informasi responsnya, lalu dengarkan seluruh bagian untuk memeriksa pelafalan, susunan kata, jeda, dan urutan yang diinginkan. Simpan naskah sumber persis di samping rekaman saat menyiapkan revisi. Jika hasil suatu permintaan tidak pasti, simpan informasi permintaan asli dan hasil yang dikembalikan sebelum membuat permintaan sintesis lain; tidak adanya berkas pemutaran saja tidak membuktikan bahwa tidak ada rekaman yang dibuat.</p>",
  "aboutText": "GLM-TTS adalah model sintesis ucapan dari Zhipu yang dipilih dengan ID persis glm-tts. Kirim POST /v1/audio/speech dengan model, input, dan voice. Masukkan kata-kata yang akan diucapkan langsung ke input, lalu pilih response_format=wav untuk profil ini. Hasilnya adalah rekaman ucapan dari naskah yang diberikan, cocok untuk diputar atau diimpor ke editor audio maupun video.\n\nGunakan untuk penjelasan produk singkat, sambutan lisan, petunjuk, atau pengumuman. Siapkan naskah sebagaimana seharusnya dibaca lantang: sertakan pemisahan kalimat yang diinginkan dan tuliskan istilah secara lengkap jika pelafalannya penting bagi tugas. Untuk tutorial, satu permintaan dapat berisi instruksi terfokus yang menyertai satu langkah yang terlihat. Untuk pesan sambutan, berikan susunan kata yang sebenarnya dan tinjau rekaman sebelum menempatkannya dalam alur pelanggan.\n\nPanjang masukan maksimal yang didokumentasikan adalah 1.024 karakter. Gunakan teks yang telah selesai saat memeriksa batas ini, termasuk tanda baca dan spasi. Narasi yang lebih panjang memerlukan naskah yang dibagi menjadi bagian yang sesuai; simpan urutan bagian dan pengaturan yang dipilih bersama rekaman agar semuanya dapat dirangkai dan ditinjau bersama. Batas karakter menjelaskan teks masukan dan tidak menetapkan durasi rekaman yang tetap.\n\nSkema voice mencantumkan tongtong, chuichui, jam, kazi, douji, dan luodo. Contoh yang dipublikasikan menggunakan tongtong dengan speed=1 dan volume=1. Baik speed maupun volume adalah kontrol opsional dengan nilai bawaan 1 yang didokumentasikan. Untuk metode WAV ini, speed adalah bilangan bulat yang menerima 1 atau 2, dan volume adalah bilangan bulat dari 1 hingga 10. Boolean watermark_enabled yang opsional mengontrol watermark audio. Jangan tentukan stream atau atur ke false untuk menerima rekaman WAV lengkap. Mulailah dari contoh eksplisit tersebut saat menyiapkan rekaman pertama, lalu pertahankan voice yang dipilih dan pengaturan yang diterima secara konsisten di seluruh bagian yang berkaitan.\n\nRekaman WAV adalah keluaran akhir permintaan ucapan. Simpan seluruh hasil audio dan informasi responsnya, lalu dengarkan seluruh bagian untuk memeriksa pelafalan, susunan kata, jeda, dan urutan yang diinginkan. Simpan naskah sumber persis di samping rekaman saat menyiapkan revisi. Jika hasil suatu permintaan tidak pasti, simpan informasi permintaan asli dan hasil yang dikembalikan sebelum membuat permintaan sintesis lain; tidak adanya berkas pemutaran saja tidak membuktikan bahwa tidak ada rekaman yang dibuat.",
  "editorialOverlay": {
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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=\"Bagian kartu model\"><button type=\"button\" data-card-jump=\"overview\">Mulai</button><button type=\"button\" data-card-jump=\"methods\">Masukan &amp; metode</button><button type=\"button\" data-card-jump=\"pricing\">Paket</button><button type=\"button\" data-card-jump=\"examples\">Contoh</button><button type=\"button\" data-card-jump=\"results\">Hasil</button><button type=\"button\" data-card-jump=\"aliases\">Alias</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"Metode API\"><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-0\" data-card-method=\"Ultra|speech|/v1/audio/speech|glm-tts\">Sintesis ucapan</button></div><div id=\"card-method-content\" role=\"tabpanel\" aria-labelledby=\"card-method-tab-0\"><section class=\"card-section\" data-card-section=\"overview\"><h3 tabindex=\"-1\">Mulai</h3><p class=\"mdesc-full\">GLM-TTS mengubah naskah yang diberikan menjadi audio ucapan. Profil glm-tts menggunakan metode Audio Speech dengan voice eksplisit dan keluaran WAV, sehingga sesuai untuk narasi singkat, instruksi lisan, dan pemutaran pesan. Siapkan teks dalam batas masukan 1.024 karakter yang didokumentasikan.</p><dl class=\"card-io\" data-card-io><div><dt>Masukan 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>Deskripsi ini mencakup kemampuan model. Masukan, keluaran, dan opsi yang tersedia di Ailoot tercantum di bawah untuk metode yang dipilih.</p><div class=\"mabout\" id=\"m-about\"><p>GLM-TTS adalah model sintesis ucapan dari Zhipu yang dipilih dengan ID persis glm-tts. Kirim POST /v1/audio/speech dengan model, input, dan voice. Masukkan kata-kata yang akan diucapkan langsung ke input, lalu pilih response_format=wav untuk profil ini. Hasilnya adalah rekaman ucapan dari naskah yang diberikan, cocok untuk diputar atau diimpor ke editor audio maupun video.</p><p>Gunakan untuk penjelasan produk singkat, sambutan lisan, petunjuk, atau pengumuman. Siapkan naskah sebagaimana seharusnya dibaca lantang: sertakan pemisahan kalimat yang diinginkan dan tuliskan istilah secara lengkap jika pelafalannya penting bagi tugas. Untuk tutorial, satu permintaan dapat berisi instruksi terfokus yang menyertai satu langkah yang terlihat. Untuk pesan sambutan, berikan susunan kata yang sebenarnya dan tinjau rekaman sebelum menempatkannya dalam alur pelanggan.</p><p>Panjang masukan maksimal yang didokumentasikan adalah 1.024 karakter. Gunakan teks yang telah selesai saat memeriksa batas ini, termasuk tanda baca dan spasi. Narasi yang lebih panjang memerlukan naskah yang dibagi menjadi bagian yang sesuai; simpan urutan bagian dan pengaturan yang dipilih bersama rekaman agar semuanya dapat dirangkai dan ditinjau bersama. Batas karakter menjelaskan teks masukan dan tidak menetapkan durasi rekaman yang tetap.</p><p>Skema voice mencantumkan tongtong, chuichui, jam, kazi, douji, dan luodo. Contoh yang dipublikasikan menggunakan tongtong dengan speed=1 dan volume=1. Baik speed maupun volume adalah kontrol opsional dengan nilai bawaan 1 yang didokumentasikan. Untuk metode WAV ini, speed adalah bilangan bulat yang menerima 1 atau 2, dan volume adalah bilangan bulat dari 1 hingga 10. Boolean watermark_enabled yang opsional mengontrol watermark audio. Jangan tentukan stream atau atur ke false untuk menerima rekaman WAV lengkap. Mulailah dari contoh eksplisit tersebut saat menyiapkan rekaman pertama, lalu pertahankan voice yang dipilih dan pengaturan yang diterima secara konsisten di seluruh bagian yang berkaitan.</p><p>Rekaman WAV adalah keluaran akhir permintaan ucapan. Simpan seluruh hasil audio dan informasi responsnya, lalu dengarkan seluruh bagian untuk memeriksa pelafalan, susunan kata, jeda, dan urutan yang diinginkan. Simpan naskah sumber persis di samping rekaman saat menyiapkan revisi. Jika hasil suatu permintaan tidak pasti, simpan informasi permintaan asli dan hasil yang dikembalikan sebelum membuat permintaan sintesis lain; tidak adanya berkas pemutaran saja tidak membuktikan bahwa tidak ada rekaman yang dibuat.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Tersedia di Ailoot · masukan &amp; metode</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · Speech</b> <code>POST /v1/audio/speech</code></summary><dl class=\"method-capabilities\"><div><dt>Masukan</dt><dd><code>text</code></dd></div><div><dt>Keluaran</dt><dd><code>audio</code></dd></div><div><dt>Format keluaran</dt><dd>wav</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Kolom</th><th>Jenis</th><th>Persyaratan</th><th>Nilai &amp; batasan</th><th>Bawaan</th></tr></thead><tbody><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>string</code></td><td data-cell-label=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Wajib</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span><div>glm-tts</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Wajib</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Wajib</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span><div>tongtong, chuichui, jam, kazi, douji, luodo</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Wajib</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span><div>wav</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Opsional</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span><div>base64, hex</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Opsional</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span><div>Minimum: 1</div><div>Maksimum: 2</div></td><td data-cell-label=\"Bawaan\" data-default=\"known\"><span class=\"card-cell-label\">Bawaan</span>1</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Opsional</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span><div>Minimum: 1</div><div>Maksimum: 10</div></td><td data-cell-label=\"Bawaan\" data-default=\"known\"><span class=\"card-cell-label\">Bawaan</span>1</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Opsional</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</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=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Opsional</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span><div>false</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr></tbody></table></div><details class=\"note-s\" data-method-contract><summary>Parameter metode dan siklus hidup</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parameter</th><th>Kontrak</th></tr></thead><tbody><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>content_type</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>application/json</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>required</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>model, 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>Siklus hidup: <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\">Paket</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Referensi tarif tidak menambah opsi permintaan. Parameter yang didukung tercantum pada metode yang dipilih.</p><dl data-price-conditions><dt>Mode Fast</dt><dd>Tidak ditentukan <span class=\"note-s\">Saat mode fast dipilih</span></dd><dt>Mode Flex</dt><dd>Tidak ditentukan <span class=\"note-s\">Saat mode flex dipilih</span></dd><dt>Upaya penalaran maksimum</dt><dd>Tidak ditentukan <span class=\"note-s\">Saat upaya penalaran maksimum menggunakan penyesuaian default</span></dd></dl></div><div data-declared-tariff-pricing><h4>Tarif Ailoot</h4><h4>Harga menurut konfigurasi</h4><p class=\"note-s\">Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Konfigurasi</th><th>Jadwal tarif</th><th>Jumlah penagihan</th><th>Satuan penagihan</th><th>Biaya</th></tr></thead><tbody><tr><th data-cell-label=\"Konfigurasi\" scope=\"row\"><span class=\"card-cell-label\">Konfigurasi</span>Tarif dasar token</th><td data-cell-label=\"Jadwal tarif\"><span class=\"card-cell-label\">Jadwal tarif</span>Tarif dasar</td><td data-cell-label=\"Jumlah penagihan\"><span class=\"card-cell-label\">Jumlah penagihan</span>—</td><td data-cell-label=\"Satuan penagihan\"><span class=\"card-cell-label\">Satuan penagihan</span>—</td><td data-cell-label=\"Biaya\"><span class=\"card-cell-label\">Biaya</span><div><span>Masukan · Token masukan</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Keluaran · Token keluaran</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · Pembacaan cache</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · Penulisan cache</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · Penulisan cache, 1 jam</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr><tr><th data-cell-label=\"Konfigurasi\" scope=\"row\"><span class=\"card-cell-label\">Konfigurasi</span>karakter masukan</th><td data-cell-label=\"Jadwal tarif\"><span class=\"card-cell-label\">Jadwal tarif</span>—</td><td data-cell-label=\"Jumlah penagihan\"><span class=\"card-cell-label\">Jumlah penagihan</span>—</td><td data-cell-label=\"Satuan penagihan\"><span class=\"card-cell-label\">Satuan penagihan</span>per karakter masukan</td><td data-cell-label=\"Biaya\"><span class=\"card-cell-label\">Biaya</span><div><span>Masukan · karakter masukan</span> <b>$0.00006</b> <span class=\"price-unit\">per karakter masukan</span></div></td></tr><tr><th data-cell-label=\"Konfigurasi\" scope=\"row\"><span class=\"card-cell-label\">Konfigurasi</span>Per permintaan</th><td data-cell-label=\"Jadwal tarif\"><span class=\"card-cell-label\">Jadwal tarif</span>—</td><td data-cell-label=\"Jumlah penagihan\"><span class=\"card-cell-label\">Jumlah penagihan</span>satu permintaan</td><td data-cell-label=\"Satuan penagihan\"><span class=\"card-cell-label\">Satuan penagihan</span>—</td><td data-cell-label=\"Biaya\"><span class=\"card-cell-label\">Biaya</span><div><span>Masukan</span> <b>$0</b> <span class=\"price-unit\">per permintaan</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. <a href=\"/docs/id/billing/reserve/\">Cara kerja cadangan dan penyelesaian tagihan →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">Contoh permintaan</h3><h4>Ailoot Ultra · Speech</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Pilihan kode\"><button class=\"cg-tab\" id=\"model-code-12-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-12-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · buat sekali dan simpan hasil secara lengkap</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Salin kode\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-12-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-12-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${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, berkas, dan bagian konten 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 asli perlu diperiksa</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 jalur metode</h4><p class=\"note-s\">Gunakan jalur metode yang ditampilkan di atas.</p><h4>ID pemanggil terkait</h4><p class=\"note-s\"><a href=\"#m=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": "fc73f88800162920daac9d495c810a47a95228768ad0b76f0e38b19e6330644a",
    "input_html_sha256": "058556f3f8655f17c85b33b602e886d1fc2846ead4d1e4e425d35e137ff648ae",
    "private_audit_sha256": "a2b24bebfe59d2222daeef5707de96cbca56f4ec3b8a18ccd71679bc2321a9b0",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/id/glm-tts/",
    "description": "GLM-TTS mengubah naskah yang diberikan menjadi audio ucapan. Profil glm-tts menggunakan metode Audio Speech dengan voice eksplisit dan keluaran WAV, sehingga sesuai untuk narasi singkat, instruksi lisan, dan pemutaran pesan. Siapkan teks dalam batas masukan 1.024 karakter yang didokumentasikan.",
    "locale": "id",
    "md_url": "https://ailoot.ai/models/id/glm-tts/index.md",
    "title": "glm-tts — Ailoot",
    "url": "https://ailoot.ai/models/id/glm-tts/"
  },
  "rawModel": {
    "about": "GLM-TTS adalah model sintesis ucapan dari Zhipu yang dipilih dengan ID persis glm-tts. Kirim POST /v1/audio/speech dengan model, input, dan voice. Masukkan kata-kata yang akan diucapkan langsung ke input, lalu pilih response_format=wav untuk profil ini. Hasilnya adalah rekaman ucapan dari naskah yang diberikan, cocok untuk diputar atau diimpor ke editor audio maupun video.\n\nGunakan untuk penjelasan produk singkat, sambutan lisan, petunjuk, atau pengumuman. Siapkan naskah sebagaimana seharusnya dibaca lantang: sertakan pemisahan kalimat yang diinginkan dan tuliskan istilah secara lengkap jika pelafalannya penting bagi tugas. Untuk tutorial, satu permintaan dapat berisi instruksi terfokus yang menyertai satu langkah yang terlihat. Untuk pesan sambutan, berikan susunan kata yang sebenarnya dan tinjau rekaman sebelum menempatkannya dalam alur pelanggan.\n\nPanjang masukan maksimal yang didokumentasikan adalah 1.024 karakter. Gunakan teks yang telah selesai saat memeriksa batas ini, termasuk tanda baca dan spasi. Narasi yang lebih panjang memerlukan naskah yang dibagi menjadi bagian yang sesuai; simpan urutan bagian dan pengaturan yang dipilih bersama rekaman agar semuanya dapat dirangkai dan ditinjau bersama. Batas karakter menjelaskan teks masukan dan tidak menetapkan durasi rekaman yang tetap.\n\nSkema voice mencantumkan tongtong, chuichui, jam, kazi, douji, dan luodo. Contoh yang dipublikasikan menggunakan tongtong dengan speed=1 dan volume=1. Baik speed maupun volume adalah kontrol opsional dengan nilai bawaan 1 yang didokumentasikan. Untuk metode WAV ini, speed adalah bilangan bulat yang menerima 1 atau 2, dan volume adalah bilangan bulat dari 1 hingga 10. Boolean watermark_enabled yang opsional mengontrol watermark audio. Jangan tentukan stream atau atur ke false untuk menerima rekaman WAV lengkap. Mulailah dari contoh eksplisit tersebut saat menyiapkan rekaman pertama, lalu pertahankan voice yang dipilih dan pengaturan yang diterima secara konsisten di seluruh bagian yang berkaitan.\n\nRekaman WAV adalah keluaran akhir permintaan ucapan. Simpan seluruh hasil audio dan informasi responsnya, lalu dengarkan seluruh bagian untuk memeriksa pelafalan, susunan kata, jeda, dan urutan yang diinginkan. Simpan naskah sumber persis di samping rekaman saat menyiapkan revisi. Jika hasil suatu permintaan tidak pasti, simpan informasi permintaan asli dan hasil yang dikembalikan sebelum membuat permintaan sintesis lain; tidak adanya berkas pemutaran saja tidak membuktikan bahwa tidak ada rekaman yang dibuat.",
    "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",
            "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": {
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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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          "unit_prices": {
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        },
        "pricing_profiles": [
          {
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              "regime": "base"
            },
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                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
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              },
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                "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,
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                "rate_role": "typed_native_retail_rate",
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              },
              {
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                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
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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",
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                "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",
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                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
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                "estimate_only": false,
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                "label": "Cache write, 1 hour",
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                "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",
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                "unit": "one_hour_cache_creation_token"
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            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input character"
            },
            "label": "input character",
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                "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",
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                "unit": "audio_input_character"
              }
            ]
          },
          {
            "dimensions": {
              "billing_quantity": "one request"
            },
            "label": "Per request",
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              {
                "amount": "0",
                "amount_unit": "usd_per_exact_native_unit",
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                "label": "per request",
                "native_amount_usd_per_unit": "0",
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                "public_unit_label": "per request",
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                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
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                "unit": "per_request"
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            ]
          }
        ],
        "request_model_id": "glm-tts",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "unit": "per_request",
        "units": [
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            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
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            "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"
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        ]
      }
    ],
    "model_aliases": [
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        "canonical_model_id": "glm-tts",
        "request_model_id": "glm-tts",
        "route_label": "Ultra"
      }
    ],
    "name": "glm-tts",
    "price": {
      "in": null,
      "in_label": null,
      "out": null,
      "out_label": null,
      "sort_in": null,
      "sort_out": null,
      "varies": true
    },
    "short": "GLM-TTS mengubah naskah yang diberikan menjadi audio ucapan. Profil glm-tts menggunakan metode Audio Speech dengan voice eksplisit dan keluaran WAV, sehingga sesuai untuk narasi singkat, instruksi lisan, dan pemutaran pesan. Siapkan teks dalam batas masukan 1.024 karakter yang didokumentasikan."
  },
  "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 mengubah naskah yang diberikan menjadi audio ucapan. Profil glm-tts menggunakan metode Audio Speech dengan voice eksplisit dan keluaran WAV, sehingga sesuai untuk narasi singkat, instruksi lisan, dan pemutaran pesan. Siapkan teks dalam batas masukan 1.024 karakter yang didokumentasikan.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "fb3155e126dbc6237844f17fccb1cd56e5c73bdc3b959a8b7f74fb060ed2caff",
    "renderer_sha256": "2a0471475a29000c23db326ca1e315df73dee7524f6bc2907818ee3458813f2d"
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  "sourceRevision": "aaf5149ad714a067983f2fc42b7dc77cecd0c89393a2817429cbd1a8567b49f3"
}