{
  "aboutHtml": "<p>GLM-TTS est le modèle de synthèse vocale de Zhipu sélectionné avec l’ID exact glm-tts. Envoyez POST /v1/audio/speech avec model, input et voice. Placez les mots à prononcer directement dans input et sélectionnez response_format=wav pour ce profil. Le résultat est un enregistrement parlé du script fourni, adapté à la lecture ou à l’importation dans un logiciel de montage audio ou vidéo.</p><p>Utilisez-le pour une courte explication de produit, un accueil oral, un passage d’instructions ou une annonce. Préparez le script tel qu’il doit être lu à voix haute : incluez les coupures de phrases souhaitées et écrivez en toutes lettres les termes dont la prononciation compte pour la tâche. Pour un tutoriel, une requête peut contenir une instruction ciblée qui accompagne une seule étape visible. Pour un message d’accueil, fournissez le texte réel et examinez l’enregistrement avant de le placer dans le parcours client.</p><p>La longueur d’entrée maximale documentée est de 1 024 caractères. Vérifiez cette limite à partir du texte terminé, ponctuation et espaces compris. Une narration plus longue nécessite un script divisé en passages adaptés ; conservez l’ordre des passages et les paramètres choisis avec les enregistrements afin de pouvoir les assembler et les examiner ensemble. Une limite de caractères décrit le texte d’entrée et n’établit pas une durée d’enregistrement fixe.</p><p>Le schéma de voice énumère tongtong, chuichui, jam, kazi, douji et luodo. L’exemple publié utilise tongtong avec speed=1 et volume=1. speed et volume sont tous deux des paramètres facultatifs dont la valeur par défaut documentée est 1. Pour cette méthode WAV, speed est un entier acceptant 1 ou 2, et volume est un entier de 1 à 10. Le booléen facultatif watermark_enabled contrôle le filigrane audio. Laissez stream non défini ou définissez-le sur false pour recevoir l’enregistrement WAV complet. Partez de cet exemple explicite pour préparer un premier enregistrement, puis gardez la voix choisie et les paramètres acceptés cohérents entre les passages liés.</p><p>L’enregistrement WAV est la sortie terminée de la requête vocale. Conservez le résultat audio complet et les informations de sa réponse, puis écoutez le passage entier pour vérifier la prononciation, le texte, les pauses et l’ordre prévu. Gardez le script source exact à côté de l’enregistrement pour préparer des révisions. Si l’issue d’une requête est incertaine, conservez les informations de la requête d’origine et du résultat renvoyé avant de créer une autre requête de synthèse ; l’absence d’un fichier de lecture ne suffit pas à établir qu’aucun enregistrement n’a été créé.</p>",
  "aboutText": "GLM-TTS est le modèle de synthèse vocale de Zhipu sélectionné avec l’ID exact glm-tts. Envoyez POST /v1/audio/speech avec model, input et voice. Placez les mots à prononcer directement dans input et sélectionnez response_format=wav pour ce profil. Le résultat est un enregistrement parlé du script fourni, adapté à la lecture ou à l’importation dans un logiciel de montage audio ou vidéo.\n\nUtilisez-le pour une courte explication de produit, un accueil oral, un passage d’instructions ou une annonce. Préparez le script tel qu’il doit être lu à voix haute : incluez les coupures de phrases souhaitées et écrivez en toutes lettres les termes dont la prononciation compte pour la tâche. Pour un tutoriel, une requête peut contenir une instruction ciblée qui accompagne une seule étape visible. Pour un message d’accueil, fournissez le texte réel et examinez l’enregistrement avant de le placer dans le parcours client.\n\nLa longueur d’entrée maximale documentée est de 1 024 caractères. Vérifiez cette limite à partir du texte terminé, ponctuation et espaces compris. Une narration plus longue nécessite un script divisé en passages adaptés ; conservez l’ordre des passages et les paramètres choisis avec les enregistrements afin de pouvoir les assembler et les examiner ensemble. Une limite de caractères décrit le texte d’entrée et n’établit pas une durée d’enregistrement fixe.\n\nLe schéma de voice énumère tongtong, chuichui, jam, kazi, douji et luodo. L’exemple publié utilise tongtong avec speed=1 et volume=1. speed et volume sont tous deux des paramètres facultatifs dont la valeur par défaut documentée est 1. Pour cette méthode WAV, speed est un entier acceptant 1 ou 2, et volume est un entier de 1 à 10. Le booléen facultatif watermark_enabled contrôle le filigrane audio. Laissez stream non défini ou définissez-le sur false pour recevoir l’enregistrement WAV complet. Partez de cet exemple explicite pour préparer un premier enregistrement, puis gardez la voix choisie et les paramètres acceptés cohérents entre les passages liés.\n\nL’enregistrement WAV est la sortie terminée de la requête vocale. Conservez le résultat audio complet et les informations de sa réponse, puis écoutez le passage entier pour vérifier la prononciation, le texte, les pauses et l’ordre prévu. Gardez le script source exact à côté de l’enregistrement pour préparer des révisions. Si l’issue d’une requête est incertaine, conservez les informations de la requête d’origine et du résultat renvoyé avant de créer une autre requête de synthèse ; l’absence d’un fichier de lecture ne suffit pas à établir qu’aucun enregistrement n’a été créé.",
  "editorialOverlay": {
    "copy_fields": null,
    "copy_sha256": null,
    "copy_source": null,
    "html_sha256": "43e9c9b5152952a539796e22be5a4079b236882563d87d18485fa94e5372d701",
    "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06",
    "raw_model_unchanged": true,
    "schema": "ailoot-native-model-editorial-v1"
  },
  "locale": "fr-ch",
  "methods": [
    {
      "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=\"Fermer\">×</button></div><div class=\"idline\"><span>ZHIPU /</span><code>glm-tts</code><button type=\"button\" id=\"copy-id\">Copier l’ID</button></div><nav class=\"card-jump-nav\" aria-label=\"Rubriques de la fiche modèle\"><button type=\"button\" data-card-jump=\"overview\">Premiers pas</button><button type=\"button\" data-card-jump=\"methods\">Entrées et méthodes</button><button type=\"button\" data-card-jump=\"pricing\">Tarifs</button><button type=\"button\" data-card-jump=\"examples\">Exemples</button><button type=\"button\" data-card-jump=\"results\">Résultats</button><button type=\"button\" data-card-jump=\"aliases\">Alias</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"Méthodes 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\">Synthèse vocale</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\">Premiers pas</h3><p class=\"mdesc-full\">GLM-TTS convertit un script fourni en audio parlé. Le profil glm-tts utilise la méthode Audio Speech avec une voix explicite et une sortie WAV, ce qui convient aux courtes narrations, aux instructions orales et à la lecture de messages. Préparez le texte en respectant sa limite d’entrée documentée de 1 024 caractères.</p><dl class=\"card-io\" data-card-io><div><dt>Entrées acceptées</dt><dd>Texte</dd></div><div><dt>Résultats</dt><dd>Audio</dd></div></dl><details class=\"card-about\"><summary>À propos du modèle</summary><p class=\"note-s\" data-model-method-boundary>Cette description présente les capacités du modèle. Les entrées, sorties et options disponibles dans Ailoot pour la méthode sélectionnée figurent ci-dessous.</p><div class=\"mabout\" id=\"m-about\"><p>GLM-TTS est le modèle de synthèse vocale de Zhipu sélectionné avec l’ID exact glm-tts. Envoyez POST /v1/audio/speech avec model, input et voice. Placez les mots à prononcer directement dans input et sélectionnez response_format=wav pour ce profil. Le résultat est un enregistrement parlé du script fourni, adapté à la lecture ou à l’importation dans un logiciel de montage audio ou vidéo.</p><p>Utilisez-le pour une courte explication de produit, un accueil oral, un passage d’instructions ou une annonce. Préparez le script tel qu’il doit être lu à voix haute : incluez les coupures de phrases souhaitées et écrivez en toutes lettres les termes dont la prononciation compte pour la tâche. Pour un tutoriel, une requête peut contenir une instruction ciblée qui accompagne une seule étape visible. Pour un message d’accueil, fournissez le texte réel et examinez l’enregistrement avant de le placer dans le parcours client.</p><p>La longueur d’entrée maximale documentée est de 1 024 caractères. Vérifiez cette limite à partir du texte terminé, ponctuation et espaces compris. Une narration plus longue nécessite un script divisé en passages adaptés ; conservez l’ordre des passages et les paramètres choisis avec les enregistrements afin de pouvoir les assembler et les examiner ensemble. Une limite de caractères décrit le texte d’entrée et n’établit pas une durée d’enregistrement fixe.</p><p>Le schéma de voice énumère tongtong, chuichui, jam, kazi, douji et luodo. L’exemple publié utilise tongtong avec speed=1 et volume=1. speed et volume sont tous deux des paramètres facultatifs dont la valeur par défaut documentée est 1. Pour cette méthode WAV, speed est un entier acceptant 1 ou 2, et volume est un entier de 1 à 10. Le booléen facultatif watermark_enabled contrôle le filigrane audio. Laissez stream non défini ou définissez-le sur false pour recevoir l’enregistrement WAV complet. Partez de cet exemple explicite pour préparer un premier enregistrement, puis gardez la voix choisie et les paramètres acceptés cohérents entre les passages liés.</p><p>L’enregistrement WAV est la sortie terminée de la requête vocale. Conservez le résultat audio complet et les informations de sa réponse, puis écoutez le passage entier pour vérifier la prononciation, le texte, les pauses et l’ordre prévu. Gardez le script source exact à côté de l’enregistrement pour préparer des révisions. Si l’issue d’une requête est incertaine, conservez les informations de la requête d’origine et du résultat renvoyé avant de créer une autre requête de synthèse ; l’absence d’un fichier de lecture ne suffit pas à établir qu’aucun enregistrement n’a été créé.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Disponible dans Ailoot · entrées et méthodes</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>Entrée</dt><dd><code>text</code></dd></div><div><dt>Sortie</dt><dd><code>audio</code></dd></div><div><dt>Format de sortie</dt><dd>wav</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Champ</th><th>Type</th><th>Exigence</th><th>Valeurs et limites</th><th>Par défaut</th></tr></thead><tbody><tr><th data-cell-label=\"Champ\" scope=\"row\"><span class=\"card-cell-label\">Champ</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>string</code></td><td data-cell-label=\"Exigence\"><span class=\"card-cell-label\">Exigence</span>Obligatoire</td><td data-cell-label=\"Valeurs et limites\"><span class=\"card-cell-label\">Valeurs et limites</span><div>glm-tts</div></td><td data-cell-label=\"Par défaut\" data-default=\"unspecified\"><span class=\"card-cell-label\">Par défaut</span>—</td></tr><tr><th data-cell-label=\"Champ\" scope=\"row\"><span class=\"card-cell-label\">Champ</span><code class=\"card-field-name\">input</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>string</code></td><td data-cell-label=\"Exigence\"><span class=\"card-cell-label\">Exigence</span>Obligatoire</td><td data-cell-label=\"Valeurs et limites\"><span class=\"card-cell-label\">Valeurs et limites</span></td><td data-cell-label=\"Par défaut\" data-default=\"unspecified\"><span class=\"card-cell-label\">Par défaut</span>—</td></tr><tr><th data-cell-label=\"Champ\" scope=\"row\"><span class=\"card-cell-label\">Champ</span><code class=\"card-field-name\">voice</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>string</code></td><td data-cell-label=\"Exigence\"><span class=\"card-cell-label\">Exigence</span>Obligatoire</td><td data-cell-label=\"Valeurs et limites\"><span class=\"card-cell-label\">Valeurs et limites</span><div>tongtong, chuichui, jam, kazi, douji, luodo</div></td><td data-cell-label=\"Par défaut\" data-default=\"unspecified\"><span class=\"card-cell-label\">Par défaut</span>—</td></tr><tr><th data-cell-label=\"Champ\" scope=\"row\"><span class=\"card-cell-label\">Champ</span><code class=\"card-field-name\">response_format</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>string</code></td><td data-cell-label=\"Exigence\"><span class=\"card-cell-label\">Exigence</span>Obligatoire</td><td data-cell-label=\"Valeurs et limites\"><span class=\"card-cell-label\">Valeurs et limites</span><div>wav</div></td><td data-cell-label=\"Par défaut\" data-default=\"unspecified\"><span class=\"card-cell-label\">Par défaut</span>—</td></tr><tr><th data-cell-label=\"Champ\" scope=\"row\"><span class=\"card-cell-label\">Champ</span><code class=\"card-field-name\">encode_format</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>string</code></td><td data-cell-label=\"Exigence\"><span class=\"card-cell-label\">Exigence</span>Facultatif</td><td data-cell-label=\"Valeurs et limites\"><span class=\"card-cell-label\">Valeurs et limites</span><div>base64, hex</div></td><td data-cell-label=\"Par défaut\" data-default=\"unspecified\"><span class=\"card-cell-label\">Par défaut</span>—</td></tr><tr><th data-cell-label=\"Champ\" scope=\"row\"><span class=\"card-cell-label\">Champ</span><code class=\"card-field-name\">speed</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>integer</code></td><td data-cell-label=\"Exigence\"><span class=\"card-cell-label\">Exigence</span>Facultatif</td><td data-cell-label=\"Valeurs et limites\"><span class=\"card-cell-label\">Valeurs et limites</span><div>Minimum: 1</div><div>Maximum: 2</div></td><td data-cell-label=\"Par défaut\" data-default=\"known\"><span class=\"card-cell-label\">Par défaut</span>1</td></tr><tr><th data-cell-label=\"Champ\" scope=\"row\"><span class=\"card-cell-label\">Champ</span><code class=\"card-field-name\">volume</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>integer</code></td><td data-cell-label=\"Exigence\"><span class=\"card-cell-label\">Exigence</span>Facultatif</td><td data-cell-label=\"Valeurs et limites\"><span class=\"card-cell-label\">Valeurs et limites</span><div>Minimum: 1</div><div>Maximum: 10</div></td><td data-cell-label=\"Par défaut\" data-default=\"known\"><span class=\"card-cell-label\">Par défaut</span>1</td></tr><tr><th data-cell-label=\"Champ\" scope=\"row\"><span class=\"card-cell-label\">Champ</span><code class=\"card-field-name\">watermark_enabled</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>boolean</code></td><td data-cell-label=\"Exigence\"><span class=\"card-cell-label\">Exigence</span>Facultatif</td><td data-cell-label=\"Valeurs et limites\"><span class=\"card-cell-label\">Valeurs et limites</span></td><td data-cell-label=\"Par défaut\" data-default=\"unspecified\"><span class=\"card-cell-label\">Par défaut</span>—</td></tr><tr><th data-cell-label=\"Champ\" scope=\"row\"><span class=\"card-cell-label\">Champ</span><code class=\"card-field-name\">stream</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>boolean</code></td><td data-cell-label=\"Exigence\"><span class=\"card-cell-label\">Exigence</span>Facultatif</td><td data-cell-label=\"Valeurs et limites\"><span class=\"card-cell-label\">Valeurs et limites</span><div>false</div></td><td data-cell-label=\"Par défaut\" data-default=\"unspecified\"><span class=\"card-cell-label\">Par défaut</span>—</td></tr></tbody></table></div><details class=\"note-s\" data-method-contract><summary>Paramètres et cycle de vie de la méthode</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Paramètre</th><th>Contrat</th></tr></thead><tbody><tr><th data-cell-label=\"Paramètre\" scope=\"row\"><span class=\"card-cell-label\">Paramètre</span><code>content_type</code></th><td data-cell-label=\"Contrat\"><span class=\"card-cell-label\">Contrat</span>application/json</td></tr><tr><th data-cell-label=\"Paramètre\" scope=\"row\"><span class=\"card-cell-label\">Paramètre</span><code>required</code></th><td data-cell-label=\"Contrat\"><span class=\"card-cell-label\">Contrat</span>model, input, voice, response_format</td></tr><tr><th data-cell-label=\"Paramètre\" scope=\"row\"><span class=\"card-cell-label\">Paramètre</span><code>optional</code></th><td data-cell-label=\"Contrat\"><span class=\"card-cell-label\">Contrat</span>encode_format, speed, volume, watermark_enabled, stream</td></tr><tr><th data-cell-label=\"Paramètre\" scope=\"row\"><span class=\"card-cell-label\">Paramètre</span><code>material_types</code></th><td data-cell-label=\"Contrat\"><span class=\"card-cell-label\">Contrat</span>text</td></tr><tr><th data-cell-label=\"Paramètre\" scope=\"row\"><span class=\"card-cell-label\">Paramètre</span><code>conditions</code></th><td data-cell-label=\"Contrat\"><span class=\"card-cell-label\">Contrat</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>Cycle de vie : <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\">Tarifs</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Les tarifs n’ajoutent pas d’options de requête. Les paramètres pris en charge figurent dans la méthode sélectionnée.</p><dl data-price-conditions><dt>Mode rapide</dt><dd>Non précisé <span class=\"note-s\">Lorsque le mode rapide est sélectionné</span></dd><dt>Mode Flex</dt><dd>Non précisé <span class=\"note-s\">Lorsque le mode flex est sélectionné</span></dd><dt>Effort de raisonnement maximal</dt><dd>Non précisé <span class=\"note-s\">Lorsque l’effort de raisonnement maximal utilise l’ajustement par défaut (default)</span></dd></dl></div><div data-declared-tariff-pricing><h4>Tarifs Ailoot</h4><h4>Prix par configuration</h4><p class=\"note-s\">Associez chaque coût aux conditions indiquées. Utilisez un seul tarif pour chaque ensemble de configurations alternatives.</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Configuration</th><th>Barème tarifaire</th><th>Quantité facturée</th><th>Unité de facturation</th><th>Coût</th></tr></thead><tbody><tr><th data-cell-label=\"Configuration\" scope=\"row\"><span class=\"card-cell-label\">Configuration</span>Tarifs de base des jetons</th><td data-cell-label=\"Barème tarifaire\"><span class=\"card-cell-label\">Barème tarifaire</span>Tarif de base</td><td data-cell-label=\"Quantité facturée\"><span class=\"card-cell-label\">Quantité facturée</span>—</td><td data-cell-label=\"Unité de facturation\"><span class=\"card-cell-label\">Unité de facturation</span>—</td><td data-cell-label=\"Coût\"><span class=\"card-cell-label\">Coût</span><div><span>Entrée · Tokens en entrée</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Sortie · Tokens en sortie</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Entrée · Lecture du cache</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Entrée · Écriture dans le cache</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Entrée · Écriture dans le cache, 1 h</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div></td></tr><tr><th data-cell-label=\"Configuration\" scope=\"row\"><span class=\"card-cell-label\">Configuration</span>caractère en entrée</th><td data-cell-label=\"Barème tarifaire\"><span class=\"card-cell-label\">Barème tarifaire</span>—</td><td data-cell-label=\"Quantité facturée\"><span class=\"card-cell-label\">Quantité facturée</span>—</td><td data-cell-label=\"Unité de facturation\"><span class=\"card-cell-label\">Unité de facturation</span>par caractère en entrée</td><td data-cell-label=\"Coût\"><span class=\"card-cell-label\">Coût</span><div><span>Entrée · caractère en entrée</span> <b>$0.00006</b> <span class=\"price-unit\">par caractère en entrée</span></div></td></tr><tr><th data-cell-label=\"Configuration\" scope=\"row\"><span class=\"card-cell-label\">Configuration</span>Par requête</th><td data-cell-label=\"Barème tarifaire\"><span class=\"card-cell-label\">Barème tarifaire</span>—</td><td data-cell-label=\"Quantité facturée\"><span class=\"card-cell-label\">Quantité facturée</span>une requête</td><td data-cell-label=\"Unité de facturation\"><span class=\"card-cell-label\">Unité de facturation</span>—</td><td data-cell-label=\"Coût\"><span class=\"card-cell-label\">Coût</span><div><span>Entrée</span> <b>$0</b> <span class=\"price-unit\">par requête</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot réserve un montant estimé avant une requête. Après le résultat, le montant final est débité selon l’utilisation mesurée. Pour le streaming, le montant final à débiter est calculé à partir du relevé final d’utilisation. <a href=\"/docs/fr-ch/billing/reserve/\">Fonctionnement de la réservation et du débit →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">Exemples de requêtes</h3><h4>Ailoot Ultra · Speech</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Variantes du code\"><button class=\"cg-tab\" id=\"model-code-12-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-12-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · créez une seule fois et conservez le résultat complet</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Copier le code\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-12-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-12-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${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\">Recevoir et enregistrer les résultats</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>Conserver tous les résultats terminés</h5><p class=\"note-s\">Conservez chaque réponse, fichier et partie de contenu renvoyés dans leur intégralité.</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>Si la réponse d’origine doit être vérifiée</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 du modèle</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 des chemins de méthode</h4><p class=\"note-s\">Utilisez les chemins de méthode indiqués ci-dessus.</p><h4>ID d’appel associés</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": "7980f6451f52b305ef8353633938540aba7c7e4e32b8bd97c2e3d1dffda66750",
    "input_html_sha256": "187263fc321550e4e620957bd8871dec7921e4b3fb1338ad074bab5e9f7b0b16",
    "private_audit_sha256": "4766e26cffa23b33c82161bd27e98dc919e044dc1386447060f8e007c6461a1a",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/fr-ch/glm-tts/",
    "description": "GLM-TTS convertit un script fourni en audio parlé. Le profil glm-tts utilise la méthode Audio Speech avec une voix explicite et une sortie WAV, ce qui convient aux courtes narrations, aux instructions orales et à la lecture de messages. Préparez le texte en respectant sa limite d’entrée documentée de 1 024 caractères.",
    "locale": "fr-ch",
    "md_url": "https://ailoot.ai/models/fr-ch/glm-tts/index.md",
    "title": "glm-tts — Ailoot",
    "url": "https://ailoot.ai/models/fr-ch/glm-tts/"
  },
  "rawModel": {
    "about": "GLM-TTS est le modèle de synthèse vocale de Zhipu sélectionné avec l’ID exact glm-tts. Envoyez POST /v1/audio/speech avec model, input et voice. Placez les mots à prononcer directement dans input et sélectionnez response_format=wav pour ce profil. Le résultat est un enregistrement parlé du script fourni, adapté à la lecture ou à l’importation dans un logiciel de montage audio ou vidéo.\n\nUtilisez-le pour une courte explication de produit, un accueil oral, un passage d’instructions ou une annonce. Préparez le script tel qu’il doit être lu à voix haute : incluez les coupures de phrases souhaitées et écrivez en toutes lettres les termes dont la prononciation compte pour la tâche. Pour un tutoriel, une requête peut contenir une instruction ciblée qui accompagne une seule étape visible. Pour un message d’accueil, fournissez le texte réel et examinez l’enregistrement avant de le placer dans le parcours client.\n\nLa longueur d’entrée maximale documentée est de 1 024 caractères. Vérifiez cette limite à partir du texte terminé, ponctuation et espaces compris. Une narration plus longue nécessite un script divisé en passages adaptés ; conservez l’ordre des passages et les paramètres choisis avec les enregistrements afin de pouvoir les assembler et les examiner ensemble. Une limite de caractères décrit le texte d’entrée et n’établit pas une durée d’enregistrement fixe.\n\nLe schéma de voice énumère tongtong, chuichui, jam, kazi, douji et luodo. L’exemple publié utilise tongtong avec speed=1 et volume=1. speed et volume sont tous deux des paramètres facultatifs dont la valeur par défaut documentée est 1. Pour cette méthode WAV, speed est un entier acceptant 1 ou 2, et volume est un entier de 1 à 10. Le booléen facultatif watermark_enabled contrôle le filigrane audio. Laissez stream non défini ou définissez-le sur false pour recevoir l’enregistrement WAV complet. Partez de cet exemple explicite pour préparer un premier enregistrement, puis gardez la voix choisie et les paramètres acceptés cohérents entre les passages liés.\n\nL’enregistrement WAV est la sortie terminée de la requête vocale. Conservez le résultat audio complet et les informations de sa réponse, puis écoutez le passage entier pour vérifier la prononciation, le texte, les pauses et l’ordre prévu. Gardez le script source exact à côté de l’enregistrement pour préparer des révisions. Si l’issue d’une requête est incertaine, conservez les informations de la requête d’origine et du résultat renvoyé avant de créer une autre requête de synthèse ; l’absence d’un fichier de lecture ne suffit pas à établir qu’aucun enregistrement n’a été créé.",
    "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"
          }
        ],
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    "short": "GLM-TTS convertit un script fourni en audio parlé. Le profil glm-tts utilise la méthode Audio Speech avec une voix explicite et une sortie WAV, ce qui convient aux courtes narrations, aux instructions orales et à la lecture de messages. Préparez le texte en respectant sa limite d’entrée documentée de 1 024 caractères."
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    "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers."
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  "representationNotes": {
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      "methods": [
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          "html_json_pointer": "/methods/0/html",
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      "json_pointers": [
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    },
    "schema": "ailoot-native-model-representations-v1"
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  "schema": "ailoot-static-model-facts-v1",
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  "shortText": "GLM-TTS convertit un script fourni en audio parlé. Le profil glm-tts utilise la méthode Audio Speech avec une voix explicite et une sortie WAV, ce qui convient aux courtes narrations, aux instructions orales et à la lecture de messages. Préparez le texte en respectant sa limite d’entrée documentée de 1 024 caractères.",
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}