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  "aboutHtml": "<p>Eleven v3 is ElevenLabs’ expressive text-to-speech model for emotional dialogue, character discussion and audiobook narration. It converts a written script into spoken audio and uses context to shape emotional range and delivery. The producer supports both single-voice speech and a dialogue workflow with multiple speakers. This card concerns the named v3 edition, kept separate from v3 Conversational and the later v4 family.</p><p>Inline audio tags can direct emotion, vocal delivery and non-verbal reactions. The manufacturer gives examples such as [sad], [angry], [happily], [whispers], [shouts], [laughs], [clears throat] and [sighs]. Place the cue near the words or reaction it should affect. For a narrative scene, write the emotional transition into the actual dialogue and use the tag to make the intended sound explicit, rather than relying on a detached description of the scene.</p><p>V3 does not support SSML &lt;break&gt; tags. Its prompting guide uses audio tags, punctuation, ellipses and text structure for pauses and pacing. That approach supplies a performance direction rather than an exact timing contract. For a hesitant line, an ellipsis and the relevant vocal cue can make the intended hesitation clear. If a recording must fit a precise timeline, use the selected take and editing workflow to place it rather than treating a pause tag as a fixed-duration unit.</p><p>Voice selection remains important. The documented guidance says a delivery that is already present in the voice’s training material is easier to reproduce, while unusual requests may be less reliable. Match the voice to the character or narrator and review whether the chosen tags produce the intended delivery. The current v3 prompting section says Professional Voice Clones are not fully optimised for this edition; v4’s documented clone improvements and native pronunciation controls are separate edition features. The product guide also marks Speed, Similarity and Speaker Boost unavailable for ordinary v3. Prepare pacing and delivery through the voice, tags, punctuation and text structure rather than inheriting another edition’s sliders.</p><p>Eleven v3 supports more than 70 languages, including English, French, German, Japanese, Korean, Spanish, Portuguese and Russian. Choose a voice appropriate to the language and regional accent and prepare the actual spoken wording before synthesis. Language support does not translate a script automatically. For a localised character scene, preserve the speaker’s intent and reaction while adapting the wording naturally for the audience.</p><p>A text-to-speech request supports up to 5,000 characters. Divide longer scripts at complete scene or narration boundaries so each segment has a clear beginning and ending. The producer provides create and stream modes for speech as well as create and stream modes for dialogue. For dialogue, associate each turn with its intended speaker and retain their sequence. Keep an emotional change with enough surrounding text to make the transition understandable.</p><p>The shared producer audio workflow offers MP3, PCM and telephony encodings such as μ-law, with additional formats listed in its TTS guide. Pronunciation dictionaries provide a way to keep names and technical terms consistent. The dictionary guide explicitly lists v3 for phoneme rules and limits its multilingual phonetic extension to v4; that does not make v4’s slash-wrapped native IPA syntax a v3 feature. Prepare important spellings or spoken aliases and check the result with the selected voice.</p><p>For a practical performance brief, provide a finished episode rather than an outline: a narrator’s introduction, the character’s actual line and the reaction that closes the scene. Specify which content is spoken, where a vocal reaction belongs and the emotional direction of each beat. Review pronunciation, voice identity, unintended reading of directions and the transition between speakers. The result is an expressive recording of the supplied script, with a chosen take that can be reused or revised in the audio project.</p>",
  "aboutText": "Eleven v3 is ElevenLabs’ expressive text-to-speech model for emotional dialogue, character discussion and audiobook narration. It converts a written script into spoken audio and uses context to shape emotional range and delivery. The producer supports both single-voice speech and a dialogue workflow with multiple speakers. This card concerns the named v3 edition, kept separate from v3 Conversational and the later v4 family.\n\nInline audio tags can direct emotion, vocal delivery and non-verbal reactions. The manufacturer gives examples such as [sad], [angry], [happily], [whispers], [shouts], [laughs], [clears throat] and [sighs]. Place the cue near the words or reaction it should affect. For a narrative scene, write the emotional transition into the actual dialogue and use the tag to make the intended sound explicit, rather than relying on a detached description of the scene.\n\nV3 does not support SSML <break> tags. Its prompting guide uses audio tags, punctuation, ellipses and text structure for pauses and pacing. That approach supplies a performance direction rather than an exact timing contract. For a hesitant line, an ellipsis and the relevant vocal cue can make the intended hesitation clear. If a recording must fit a precise timeline, use the selected take and editing workflow to place it rather than treating a pause tag as a fixed-duration unit.\n\nVoice selection remains important. The documented guidance says a delivery that is already present in the voice’s training material is easier to reproduce, while unusual requests may be less reliable. Match the voice to the character or narrator and review whether the chosen tags produce the intended delivery. The current v3 prompting section says Professional Voice Clones are not fully optimised for this edition; v4’s documented clone improvements and native pronunciation controls are separate edition features. The product guide also marks Speed, Similarity and Speaker Boost unavailable for ordinary v3. Prepare pacing and delivery through the voice, tags, punctuation and text structure rather than inheriting another edition’s sliders.\n\nEleven v3 supports more than 70 languages, including English, French, German, Japanese, Korean, Spanish, Portuguese and Russian. Choose a voice appropriate to the language and regional accent and prepare the actual spoken wording before synthesis. Language support does not translate a script automatically. For a localised character scene, preserve the speaker’s intent and reaction while adapting the wording naturally for the audience.\n\nA text-to-speech request supports up to 5,000 characters. Divide longer scripts at complete scene or narration boundaries so each segment has a clear beginning and ending. The producer provides create and stream modes for speech as well as create and stream modes for dialogue. For dialogue, associate each turn with its intended speaker and retain their sequence. Keep an emotional change with enough surrounding text to make the transition understandable.\n\nThe shared producer audio workflow offers MP3, PCM and telephony encodings such as μ-law, with additional formats listed in its TTS guide. Pronunciation dictionaries provide a way to keep names and technical terms consistent. The dictionary guide explicitly lists v3 for phoneme rules and limits its multilingual phonetic extension to v4; that does not make v4’s slash-wrapped native IPA syntax a v3 feature. Prepare important spellings or spoken aliases and check the result with the selected voice.\n\nFor a practical performance brief, provide a finished episode rather than an outline: a narrator’s introduction, the character’s actual line and the reaction that closes the scene. Specify which content is spoken, where a vocal reaction belongs and the emotional direction of each beat. Review pronunciation, voice identity, unintended reading of directions and the transition between speakers. The result is an expressive recording of the supplied script, with a chosen take that can be reused or revised in the audio project.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">ElevenLabs: Eleven v3</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Close\">×</button></div><div class=\"idline\"><span>ElevenLabs /</span><code>elevenlabs/eleven-v3</code><button type=\"button\" id=\"copy-id\">Copy ID</button></div><nav class=\"card-jump-nav\" aria-label=\"Model card sections\"><button type=\"button\" data-card-jump=\"overview\">Overview</button><button type=\"button\" data-card-jump=\"methods\">Inputs &amp; methods</button><button type=\"button\" data-card-jump=\"pricing\">Pricing</button><button type=\"button\" data-card-jump=\"examples\">Examples</button><button type=\"button\" data-card-jump=\"results\">Results</button><button type=\"button\" data-card-jump=\"aliases\">Aliases</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"API methods\"><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-0\" data-card-method=\"Ultra|speech|/v1/audio/speech|elevenlabs%2Feleven-v3\">Text to speech</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\">Overview</h3><p class=\"mdesc-full\">Eleven v3 synthesises emotionally expressive speech from a script, with inline audio tags and a producer dialogue mode. It supports more than 70 languages and a 5,000-character request limit for narration, character scenes and other performances where delivery matters.</p><dl class=\"card-io\" data-card-io><div><dt>Accepted inputs</dt><dd>Text</dd></div><div><dt>Results</dt><dd>Audio</dd></div></dl><details class=\"card-about\"><summary>About the model</summary><p class=\"note-s\" data-model-method-boundary>This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below.</p><div class=\"mabout\" id=\"m-about\"><p>Eleven v3 is ElevenLabs’ expressive text-to-speech model for emotional dialogue, character discussion and audiobook narration. It converts a written script into spoken audio and uses context to shape emotional range and delivery. The producer supports both single-voice speech and a dialogue workflow with multiple speakers. This card concerns the named v3 edition, kept separate from v3 Conversational and the later v4 family.</p><p>Inline audio tags can direct emotion, vocal delivery and non-verbal reactions. The manufacturer gives examples such as [sad], [angry], [happily], [whispers], [shouts], [laughs], [clears throat] and [sighs]. Place the cue near the words or reaction it should affect. For a narrative scene, write the emotional transition into the actual dialogue and use the tag to make the intended sound explicit, rather than relying on a detached description of the scene.</p><p>V3 does not support SSML &lt;break&gt; tags. Its prompting guide uses audio tags, punctuation, ellipses and text structure for pauses and pacing. That approach supplies a performance direction rather than an exact timing contract. For a hesitant line, an ellipsis and the relevant vocal cue can make the intended hesitation clear. If a recording must fit a precise timeline, use the selected take and editing workflow to place it rather than treating a pause tag as a fixed-duration unit.</p><p>Voice selection remains important. The documented guidance says a delivery that is already present in the voice’s training material is easier to reproduce, while unusual requests may be less reliable. Match the voice to the character or narrator and review whether the chosen tags produce the intended delivery. The current v3 prompting section says Professional Voice Clones are not fully optimised for this edition; v4’s documented clone improvements and native pronunciation controls are separate edition features. The product guide also marks Speed, Similarity and Speaker Boost unavailable for ordinary v3. Prepare pacing and delivery through the voice, tags, punctuation and text structure rather than inheriting another edition’s sliders.</p><p>Eleven v3 supports more than 70 languages, including English, French, German, Japanese, Korean, Spanish, Portuguese and Russian. Choose a voice appropriate to the language and regional accent and prepare the actual spoken wording before synthesis. Language support does not translate a script automatically. For a localised character scene, preserve the speaker’s intent and reaction while adapting the wording naturally for the audience.</p><p>A text-to-speech request supports up to 5,000 characters. Divide longer scripts at complete scene or narration boundaries so each segment has a clear beginning and ending. The producer provides create and stream modes for speech as well as create and stream modes for dialogue. For dialogue, associate each turn with its intended speaker and retain their sequence. Keep an emotional change with enough surrounding text to make the transition understandable.</p><p>The shared producer audio workflow offers MP3, PCM and telephony encodings such as μ-law, with additional formats listed in its TTS guide. Pronunciation dictionaries provide a way to keep names and technical terms consistent. The dictionary guide explicitly lists v3 for phoneme rules and limits its multilingual phonetic extension to v4; that does not make v4’s slash-wrapped native IPA syntax a v3 feature. Prepare important spellings or spoken aliases and check the result with the selected voice.</p><p>For a practical performance brief, provide a finished episode rather than an outline: a narrator’s introduction, the character’s actual line and the reaction that closes the scene. Specify which content is spoken, where a vocal reaction belongs and the emotional direction of each beat. Review pronunciation, voice identity, unintended reading of directions and the transition between speakers. The result is an expressive recording of the supplied script, with a chosen take that can be reused or revised in the audio project.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Available in Ailoot · inputs &amp; methods</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · Text to speech</b> <code>POST /v1/audio/speech</code></summary><dl class=\"method-capabilities\"><div><dt>Input types</dt><dd><code>text</code></dd></div><div><dt>Output types</dt><dd><code>audio</code></dd></div><div><dt>Output format</dt><dd>mp3</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Field</th><th>Type</th><th>Requirement</th><th>Values &amp; limits</th><th>Default</th></tr></thead><tbody><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</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=\"Requirement\"><span class=\"card-cell-label\">Requirement</span>Required</td><td data-cell-label=\"Values &amp; limits\"><span class=\"card-cell-label\">Values &amp; limits</span><div>elevenlabs/eleven-v3</div></td><td data-cell-label=\"Default\" data-default=\"unspecified\"><span class=\"card-cell-label\">Default</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</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=\"Requirement\"><span class=\"card-cell-label\">Requirement</span>Required</td><td data-cell-label=\"Values &amp; limits\"><span class=\"card-cell-label\">Values &amp; limits</span><div>Minimum length: 1</div><div>Maximum length: 5,000</div><div>Unit: Unicode characters</div></td><td data-cell-label=\"Default\" data-default=\"unspecified\"><span class=\"card-cell-label\">Default</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</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=\"Requirement\"><span class=\"card-cell-label\">Requirement</span>Required</td><td data-cell-label=\"Values &amp; limits\"><span class=\"card-cell-label\">Values &amp; limits</span><div>george, sarah, adam, alice, bella, bill, brian, callum, charlie, chris, daniel, eric, harry, jessica, laura, liam, lily, matilda, river, roger, will</div></td><td data-cell-label=\"Default\" data-default=\"unspecified\"><span class=\"card-cell-label\">Default</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</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=\"Requirement\"><span class=\"card-cell-label\">Requirement</span>Required</td><td data-cell-label=\"Values &amp; limits\"><span class=\"card-cell-label\">Values &amp; limits</span><div>mp3</div></td><td data-cell-label=\"Default\" data-default=\"unspecified\"><span class=\"card-cell-label\">Default</span>—</td></tr></tbody></table></div><details class=\"card-about\" data-material-combinations><summary>Input material combinations</summary><p class=\"note-s\"><b>text_to_speech</b> · Required: input</p></details><details class=\"note-s\" data-method-contract><summary>Method parameters and lifecycle</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parameter</th><th>Contract</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=\"Contract\"><span class=\"card-cell-label\">Contract</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=\"Contract\"><span class=\"card-cell-label\">Contract</span>model, input, voice, response_format</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>voice_ids</code></th><td data-cell-label=\"Contract\"><span class=\"card-cell-label\">Contract</span>george, sarah, adam, alice, bella, bill, brian, callum, charlie, chris, daniel, eric, harry, jessica, laura, liam, lily, matilda, river, roger, will</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>response_format</code></th><td data-cell-label=\"Contract\"><span class=\"card-cell-label\">Contract</span>mp3</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>max_input_characters</code></th><td data-cell-label=\"Contract\"><span class=\"card-cell-label\">Contract</span>5000</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>other_options</code></th><td data-cell-label=\"Contract\"><span class=\"card-cell-label\">Contract</span>false</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>input</code></th><td data-cell-label=\"Contract\"><span class=\"card-cell-label\">Contract</span>exact UTF-8 text; Unicode character count without normalization</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=\"Contract\"><span class=\"card-cell-label\">Contract</span>text</td></tr></tbody></table></div><p>Lifecycle: <code>synchronous_result_then_owned_library</code></p><p class=\"note-s\"><code>GET /v1/media/tasks/{task_id}</code> · actual returned task_id or media library record</p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}/content</code></p><p class=\"note-s\"><code>GET /v1/media/assets</code></p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}</code></p><p class=\"note-s\">Select exact voice from this model profile.</p><p class=\"note-s\">Input characters and audio seconds are different meters.</p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Pricing</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Tariff references do not add request options. Supported parameters are listed for the selected method.</p><dl data-price-conditions><dt>Fast mode</dt><dd>Not specified <span class=\"note-s\">When fast mode is selected</span></dd><dt>Flex mode</dt><dd>Not specified <span class=\"note-s\">When flex mode is selected</span></dd><dt>Maximum reasoning effort</dt><dd>Not specified <span class=\"note-s\">When maximum reasoning effort uses the default adjustment</span></dd></dl></div><div data-declared-tariff-pricing><h4>Ailoot rates</h4><h4>Prices by configuration</h4><p class=\"note-s\">Match each charge to the conditions shown. Use one rate for each set of alternative configurations.</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Configuration</th><th>Rate schedule</th><th>Billing unit</th><th>Charge</th></tr></thead><tbody><tr><th data-cell-label=\"Configuration\" scope=\"row\"><span class=\"card-cell-label\">Configuration</span>Base token rates</th><td data-cell-label=\"Rate schedule\"><span class=\"card-cell-label\">Rate schedule</span>Base rate</td><td data-cell-label=\"Billing unit\"><span class=\"card-cell-label\">Billing unit</span>—</td><td data-cell-label=\"Charge\"><span class=\"card-cell-label\">Charge</span><div><span>Input · Input tokens</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Output · Output tokens</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Input · Cache read</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Input · Cache write</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Input · Cache write, 1 hour</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>input character</th><td data-cell-label=\"Rate schedule\"><span class=\"card-cell-label\">Rate schedule</span>—</td><td data-cell-label=\"Billing unit\"><span class=\"card-cell-label\">Billing unit</span>per input character</td><td data-cell-label=\"Charge\"><span class=\"card-cell-label\">Charge</span><div><span>Input · input character</span> <b>$0.00016</b> <span class=\"price-unit\">per input character</span></div></td></tr></tbody></table></div></div><div data-declared-reference-pricing><h4>Reference tariff details</h4><p class=\"note-s\">Model-level reference schedules do not change method selection, quotes or charges. Active charges use the selected Ailoot method rates.</p><details class=\"card-price-reference\" data-declared-reference-group data-client-selectable=\"false\"><summary>ElevenLabs: Eleven v3</summary><h4>Prices by configuration</h4><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Configuration</th><th>Billing conditions</th><th>Charge</th></tr></thead><tbody><tr><th data-cell-label=\"Configuration\" scope=\"row\"><span class=\"card-cell-label\">Configuration</span>ElevenLabs: Eleven v3 · Default configuration</th><td data-cell-label=\"Billing conditions\"><span class=\"card-cell-label\">Billing conditions</span>Default configuration</td><td data-cell-label=\"Charge\"><span class=\"card-cell-label\">Charge</span><div><span>Input · Input characters</span> <b>$0.00008</b> <span class=\"price-unit\">per input character</span></div></td></tr></tbody></table></div></details></div><p class=\"note-s\">Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. <a href=\"/docs/en/billing/reserve/\">How reservation and settlement work →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">Example requests</h3><h4>Ailoot Ultra · Text to speech</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Code options\"><button class=\"cg-tab\" id=\"model-code-1320-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1320-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Copy code\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-1320-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1320-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_VOICE_ID:?Choose an accepted voice ID from this exact model profile}&quot;\nexport AILOOT_VOICE_ID\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np=json.loads(&#39;{&quot;model&quot;: &quot;elevenlabs/eleven-v3&quot;, &quot;input&quot;: &quot;Good afternoon! This is a short voice take.&quot;}&#39;)\nvoice=os.environ[&quot;AILOOT_VOICE_ID&quot;]\nallowed=json.loads(&#39;[&quot;george&quot;, &quot;sarah&quot;, &quot;adam&quot;, &quot;alice&quot;, &quot;bella&quot;, &quot;bill&quot;, &quot;brian&quot;, &quot;callum&quot;, &quot;charlie&quot;, &quot;chris&quot;, &quot;daniel&quot;, &quot;eric&quot;, &quot;harry&quot;, &quot;jessica&quot;, &quot;laura&quot;, &quot;liam&quot;, &quot;lily&quot;, &quot;matilda&quot;, &quot;river&quot;, &quot;roger&quot;, &quot;will&quot;]&#39;)\nif voice not in allowed: raise SystemExit(&quot;Choose an accepted voice ID from this exact model profile&quot;)\np[&quot;voice&quot;]=voice\np[&quot;response_format&quot;]=&quot;mp3&quot;\nPath(&quot;request.json&quot;).write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/speech \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o speech.mp3\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Receive and save results</h3><h4>Ailoot Ultra · Text to speech</h4><p class=\"note-s\">mp3</p><ul class=\"card-result-paths\"><li><code>GET /v1/media/tasks/{task_id}</code></li><li><code>GET /v1/media/assets/{asset_id}/content</code></li><li><code>GET /v1/media/assets</code></li><li><code>GET /v1/media/assets/{asset_id}</code></li></ul><details class=\"card-about\"><summary>Other content reads</summary><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Code options\"><button class=\"cg-tab\" id=\"model-code-1321-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1321-panel-0\" aria-selected=\"true\" tabindex=\"0\">Media library</button><button class=\"cg-tab\" id=\"model-code-1321-tab-1\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1321-panel-1\" aria-selected=\"false\" tabindex=\"-1\">Task status</button><button class=\"cg-tab\" id=\"model-code-1321-tab-2\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1321-panel-2\" aria-selected=\"false\" tabindex=\"-1\">Asset details</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Copy 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-1321-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1321-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -o media-assets.json\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-1321-panel-1\" role=\"tabpanel\" aria-labelledby=\"model-code-1321-tab-1\" hidden><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_MEDIA_TASK_ID:?Set the actual ID returned by the response or media-library metadata}&quot;\nexport AILOOT_MEDIA_TASK_ID\nresource_id=$(python3 -c &#39;import os,urllib.parse;print(urllib.parse.quote(os.environ[&quot;AILOOT_MEDIA_TASK_ID&quot;],safe=&quot;&quot;))&#39;)\ncurl --fail-with-body --silent --show-error &quot;https://api.ailoot.ai/v1/media/tasks/$resource_id&quot; \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -o media-task.json\npython3 - &lt;&lt;&#39;PY_RESULT&#39;\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(&quot;media-task.json&quot;).read_text())))\nPY_RESULT\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-1321-panel-2\" role=\"tabpanel\" aria-labelledby=\"model-code-1321-tab-2\" hidden><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_ASSET_ID:?Set the actual ID returned by the response or media-library metadata}&quot;\nexport AILOOT_ASSET_ID\nresource_id=$(python3 -c &#39;import os,urllib.parse;print(urllib.parse.quote(os.environ[&quot;AILOOT_ASSET_ID&quot;],safe=&quot;&quot;))&#39;)\ncurl --fail-with-body --silent --show-error &quot;https://api.ailoot.ai/v1/media/assets/$resource_id&quot; \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -o media-asset.json\npython3 - &lt;&lt;&#39;PY_RESULT&#39;\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(&quot;media-asset.json&quot;).read_text())))\nPY_RESULT\n</code></pre></div></div></div></details><div class=\"card-result-process\" data-all-results><h5>Keep all completed results</h5><p class=\"note-s\">Keep every complete returned response, file and content part.</p><p class=\"note-s\">Keep the complete binary result and headers. If JSON/multiple outputs are returned, retain every data item and fetch each actual signed asset URL.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>If the original response needs checking</h5><p class=\"note-s\">Retain original operation_id/X-Client-Request-ID for reconciliation without resubmission; no dedicated audio poll route.</p></div><details class=\"card-about\" data-output-fields><summary>Response fields</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>Field</th><th>Type</th></tr></thead><tbody><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">binary audio</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span>bytes</td></tr><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">response headers</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span>headers</td></tr></tbody></table></div></details><details class=\"card-about\" data-method-errors><summary>Errors and next steps</summary><div class=\"tw\" data-card-table=\"errors\"><table><thead><tr><th>Response</th><th>Condition</th><th>Next step</th></tr></thead><tbody><tr><th data-cell-label=\"Response\" scope=\"row\"><span class=\"card-cell-label\">Response</span>400 · <code>invalid_request_error</code></th><td data-cell-label=\"Condition\"><span class=\"card-cell-label\">Condition</span>Invalid required fields, material representation or parameter value</td><td data-cell-label=\"Next step\"><span class=\"card-cell-label\">Next step</span>Correct the indicated fields before a new creation request.</td></tr><tr><th data-cell-label=\"Response\" scope=\"row\"><span class=\"card-cell-label\">Response</span><code>server_error</code></th><td data-cell-label=\"Condition\"><span class=\"card-cell-label\">Condition</span>The returned response says the operation or result requires a check</td><td data-cell-label=\"Next step\"><span class=\"card-cell-label\">Next step</span>Keep the original returned operation/task ID, request headers and response; continue supported reads of that original operation. Do not resubmit the creation request.</td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Aliases</h3><h4>Model aliases</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=elevenlabs%2Feleven-v3&amp;route=Ultra&amp;caller=elevenlabs%2Feleven-v3&amp;fmt=speech\"><code>elevenlabs/eleven-v3</code></a></span></p><h4>Method path aliases</h4><p class=\"note-s\">Use the method paths shown above.</p><h4>Related caller IDs</h4><p class=\"note-s\"><a href=\"#m=elevenlabs%2Feleven-v3&amp;route=Ultra&amp;caller=elevenlabs%2Feleven-v3&amp;fmt=speech\"><code>elevenlabs/eleven-v3</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "elevenlabs/eleven-v3",
        "fmt": "speech",
        "http": "POST",
        "path": "/v1/audio/speech",
        "request_model_id": "elevenlabs/eleven-v3",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|speech|/v1/audio/speech|elevenlabs%2Feleven-v3",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Keep the complete binary result and headers. If JSON/multiple outputs are returned, retain every data item and fetch each actual signed asset URL.",
            "errors": [
              {
                "code": null,
                "condition": "Invalid required fields, material representation or parameter value",
                "http_status": 400,
                "recovery": "Correct the indicated fields before a new creation request.",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "The returned response says the operation or result requires a check",
                "http_status": null,
                "recovery": "Keep the original returned operation/task ID, request headers and response; continue supported reads of that original operation. Do not resubmit the creation request.",
                "type": "server_error"
              }
            ],
            "hints": [],
            "ignored_fields": [],
            "lifecycle": {
              "all_results": "Follow everyactualreturnedoutputandownedasset; no result is discardedbecauseindex0orcontent_urlalreadyexists.",
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed URL; never construct token"
                }
              ],
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "status": [
                {
                  "http": "GET",
                  "id_source": "actual returned task_id or media library record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "Retain original operation_id/X-Client-Request-ID for reconciliation without resubmission; no dedicated audio poll route."
            },
            "material_combinations": [
              {
                "content_type": "application/json",
                "mode": "text_to_speech",
                "required": [
                  "input"
                ]
              }
            ],
            "media_library": {
              "asset": {
                "fields": [
                  {
                    "description": null,
                    "name": "asset_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "task_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "output_key",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "family",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "model",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "method",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "status",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "content_type",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "sha256",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "size_bytes",
                    "type": "integer"
                  },
                  {
                    "description": null,
                    "name": "content_url",
                    "type": "string"
                  }
                ],
                "http": "GET",
                "id_source": "actual returned asset_id",
                "path": "/v1/media/assets/{asset_id}"
              },
              "content": {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "range_header_supported": true,
                "url_source": "Use exact returned signed content_url including its token; do not construct a token."
              },
              "expired_link": {
                "code": "link_expired",
                "http_status": 404,
                "recovery": "Read the asset again to obtain its refreshed signed content_url, then fetch that URL. Do not regenerate."
              },
              "list": {
                "all_pages": "Follow every returned next_cursor, then select records by their actual task_id/output_key.",
                "http": "GET",
                "output_fields": [
                  {
                    "description": null,
                    "name": "object",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "data",
                    "type": "asset[]"
                  },
                  {
                    "description": null,
                    "name": "next_cursor",
                    "type": "string|null"
                  }
                ],
                "parameters": [
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "family",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "cursor",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": 20,
                    "default_known": true,
                    "enum": null,
                    "enum_known": false,
                    "maximum": 100,
                    "minimum": 1,
                    "name": "limit",
                    "required": false,
                    "type": "integer"
                  }
                ],
                "path": "/v1/media/assets"
              },
              "revoke": {
                "http": "DELETE",
                "meaning": "Revokes/deletes the existing owned file; this is not generation cancellation.",
                "path": "/v1/media/assets/{asset_id}",
                "pending_status": "revoking",
                "success_statuses": [
                  202,
                  204
                ]
              },
              "task": {
                "http": "GET",
                "id_source": "actual returned task_id or media library record; operation_id is not task_id",
                "path": "/v1/media/tasks/{task_id}"
              }
            },
            "operation_modes": [
              "text_to_speech"
            ],
            "outputs": {
              "all_results": "Keep the complete binary result and headers. If JSON/multiple outputs are returned, retain every data item and fetch each actual signed asset URL.",
              "family": "audio",
              "fields": [
                {
                  "description": null,
                  "name": "binary audio",
                  "type": "bytes"
                },
                {
                  "description": null,
                  "name": "response headers",
                  "type": "headers"
                }
              ],
              "format": "mp3",
              "http_success": 200
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "elevenlabs/eleven-v3"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "limit_known": true,
                "maximum_length": 5000,
                "min_length": 1,
                "name": "input",
                "required": true,
                "type": "string",
                "unit": "Unicode characters"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "george",
                  "sarah",
                  "adam",
                  "alice",
                  "bella",
                  "bill",
                  "brian",
                  "callum",
                  "charlie",
                  "chris",
                  "daniel",
                  "eric",
                  "harry",
                  "jessica",
                  "laura",
                  "liam",
                  "lily",
                  "matilda",
                  "river",
                  "roger",
                  "will"
                ],
                "enum_known": true,
                "name": "voice",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "mp3"
                ],
                "enum_known": true,
                "name": "response_format",
                "required": true,
                "type": "string"
              }
            ],
            "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.",
            "unsupported": [
              "every field outside exactmodel,input,voice,response_format",
              "stream/speed/reference speech options"
            ]
          },
          "hints": [
            "Select exact voice from this model profile.",
            "Input characters and audio seconds are different meters."
          ],
          "input": {
            "content_type": "application/json",
            "input": "exact UTF-8 text; Unicode character count without normalization",
            "material_types": [
              "text"
            ],
            "max_input_characters": 5000,
            "other_options": false,
            "required": [
              "model",
              "input",
              "voice",
              "response_format"
            ],
            "response_format": [
              "mp3"
            ],
            "voice_ids": [
              "george",
              "sarah",
              "adam",
              "alice",
              "bella",
              "bill",
              "brian",
              "callum",
              "charlie",
              "chris",
              "daniel",
              "eric",
              "harry",
              "jessica",
              "laura",
              "liam",
              "lily",
              "matilda",
              "river",
              "roger",
              "will"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "actual returned task_id or media library record",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Retain original operation_id/X-Client-Request-ID for reconciliation without resubmission; no dedicated audio poll route."
          },
          "manufacturer_capability": null,
          "method": {
            "http": "POST",
            "path": "/v1/audio/speech"
          },
          "method_aliases": [],
          "operation_modes": [
            "text_to_speech"
          ],
          "output": {
            "family": "audio",
            "format": "mp3",
            "http_success": 200,
            "response": "full binary MP3 plus response headers",
            "result": "complete playable owned MP3"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input character"
            },
            "label": "input character",
            "units": [
              {
                "amount": "0.00016",
                "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": "0.00016",
                "native_quantity": 1,
                "public_unit_label": "per input character",
                "quantity": 1,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_character"
              }
            ]
          }
        ],
        "declared_tariff_references": [
          {
            "client_selectable": false,
            "key": "9e303522a8fa088ce7b2",
            "label": "ElevenLabs: Eleven v3",
            "profiles": [
              {
                "basis": "",
                "dimensions": {
                  "conditions": "Default configuration"
                },
                "label": "ElevenLabs: Eleven v3 · Default configuration",
                "units": [
                  {
                    "amount": "0.00008",
                    "amount_unit": "usd_per_exact_physical_unit",
                    "billing_input": false,
                    "key": "3f6ce57aacb745e55742ccc8",
                    "label": "Input characters",
                    "public_unit_label": "per input character",
                    "quantity": "1",
                    "rate_role": "declared_tariff_rate",
                    "side": "in",
                    "unit": "input_character"
                  }
                ]
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_VOICE_ID:?Choose an accepted voice ID from this exact model profile}\"\nexport AILOOT_VOICE_ID\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"elevenlabs/eleven-v3\", \"input\": \"Good afternoon! This is a short voice take.\"}')\nvoice=os.environ[\"AILOOT_VOICE_ID\"]\nallowed=json.loads('[\"george\", \"sarah\", \"adam\", \"alice\", \"bella\", \"bill\", \"brian\", \"callum\", \"charlie\", \"chris\", \"daniel\", \"eric\", \"harry\", \"jessica\", \"laura\", \"liam\", \"lily\", \"matilda\", \"river\", \"roger\", \"will\"]')\nif voice not in allowed: raise SystemExit(\"Choose an accepted voice ID from this exact model profile\")\np[\"voice\"]=voice\np[\"response_format\"]=\"mp3\"\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/speech \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o speech.mp3\n",
            "label": "curl",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-assets.json\n",
            "label": "List actual media assets",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_MEDIA_TASK_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_MEDIA_TASK_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_MEDIA_TASK_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/tasks/$resource_id\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-task.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-task.json\").read_text())))\nPY_RESULT\n",
            "label": "Read actual media task",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_ASSET_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_ASSET_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_ASSET_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/assets/$resource_id\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-asset.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-asset.json\").read_text())))\nPY_RESULT\n",
            "label": "Read actual asset metadata",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "speech",
        "hints": [
          "Select exact voice from this model profile.",
          "Input characters and audio seconds are different meters."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "text"
        ],
        "label": "Озвучка текста",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "out": null,
        "output": [
          "audio"
        ],
        "path": "/v1/audio/speech",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "per_request",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null,
          "unit_prices": {
            "audio_input_character": 0.00016
          }
        },
        "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": "0.00016",
                "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": "0.00016",
                "native_quantity": 1,
                "public_unit_label": "per input character",
                "quantity": 1,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_character"
              }
            ]
          }
        ],
        "request_model_id": "elevenlabs/eleven-v3",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/media/tasks/{task_id}",
          "GET /v1/media/assets/{asset_id}/content"
        ],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.00016",
            "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": "0.00016",
            "native_quantity": 1,
            "public_unit_label": "per input character",
            "quantity": 1,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "audio_input_character"
          }
        ]
      }
    }
  ],
  "model_id": "elevenlabs/eleven-v3",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "20e61489640eff623de236ab745f91737c483524e96100e043471c0311299f90",
    "input_html_sha256": "00b8adb4cd01ae734982a0847d7c2748371636b4ceedb2d7bbf57b06e6c0e132",
    "private_audit_sha256": "d7498242a7c810796da3d161366274afe65da291439f44224aeca80d577684f5",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/en/elevenlabs-eleven-v3/",
    "description": "Eleven v3 synthesises emotionally expressive speech from a script, with inline audio tags and a producer dialogue mode. It supports more than 70 languages and a 5,000-character request limit for narration, character scenes and other performances where delivery matters.",
    "locale": "en",
    "md_url": "https://ailoot.ai/models/en/elevenlabs-eleven-v3/index.md",
    "title": "ElevenLabs: Eleven v3 — Ailoot",
    "url": "https://ailoot.ai/models/en/elevenlabs-eleven-v3/"
  },
  "rawModel": {
    "about": "Eleven v3 is ElevenLabs’ expressive text-to-speech model for emotional dialogue, character discussion and audiobook narration. It converts a written script into spoken audio and uses context to shape emotional range and delivery. The producer supports both single-voice speech and a dialogue workflow with multiple speakers. This card concerns the named v3 edition, kept separate from v3 Conversational and the later v4 family.\n\nInline audio tags can direct emotion, vocal delivery and non-verbal reactions. The manufacturer gives examples such as [sad], [angry], [happily], [whispers], [shouts], [laughs], [clears throat] and [sighs]. Place the cue near the words or reaction it should affect. For a narrative scene, write the emotional transition into the actual dialogue and use the tag to make the intended sound explicit, rather than relying on a detached description of the scene.\n\nV3 does not support SSML <break> tags. Its prompting guide uses audio tags, punctuation, ellipses and text structure for pauses and pacing. That approach supplies a performance direction rather than an exact timing contract. For a hesitant line, an ellipsis and the relevant vocal cue can make the intended hesitation clear. If a recording must fit a precise timeline, use the selected take and editing workflow to place it rather than treating a pause tag as a fixed-duration unit.\n\nVoice selection remains important. The documented guidance says a delivery that is already present in the voice’s training material is easier to reproduce, while unusual requests may be less reliable. Match the voice to the character or narrator and review whether the chosen tags produce the intended delivery. The current v3 prompting section says Professional Voice Clones are not fully optimised for this edition; v4’s documented clone improvements and native pronunciation controls are separate edition features. The product guide also marks Speed, Similarity and Speaker Boost unavailable for ordinary v3. Prepare pacing and delivery through the voice, tags, punctuation and text structure rather than inheriting another edition’s sliders.\n\nEleven v3 supports more than 70 languages, including English, French, German, Japanese, Korean, Spanish, Portuguese and Russian. Choose a voice appropriate to the language and regional accent and prepare the actual spoken wording before synthesis. Language support does not translate a script automatically. For a localised character scene, preserve the speaker’s intent and reaction while adapting the wording naturally for the audience.\n\nA text-to-speech request supports up to 5,000 characters. Divide longer scripts at complete scene or narration boundaries so each segment has a clear beginning and ending. The producer provides create and stream modes for speech as well as create and stream modes for dialogue. For dialogue, associate each turn with its intended speaker and retain their sequence. Keep an emotional change with enough surrounding text to make the transition understandable.\n\nThe shared producer audio workflow offers MP3, PCM and telephony encodings such as μ-law, with additional formats listed in its TTS guide. Pronunciation dictionaries provide a way to keep names and technical terms consistent. The dictionary guide explicitly lists v3 for phoneme rules and limits its multilingual phonetic extension to v4; that does not make v4’s slash-wrapped native IPA syntax a v3 feature. Prepare important spellings or spoken aliases and check the result with the selected voice.\n\nFor a practical performance brief, provide a finished episode rather than an outline: a narrator’s introduction, the character’s actual line and the reaction that closes the scene. Specify which content is spoken, where a vocal reaction belongs and the emotional direction of each beat. Review pronunciation, voice identity, unintended reading of directions and the transition between speakers. The result is an expressive recording of the supplied script, with a chosen take that can be reused or revised in the audio project.",
    "alias_of": null,
    "aliases": [],
    "author": "ElevenLabs",
    "available": null,
    "canonical_model": "elevenlabs/eleven-v3",
    "capabilities": {
      "context_length": 0,
      "manufacturer_input": [
        "text"
      ],
      "manufacturer_output": [
        "speech"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.00016",
            "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": "0.00016",
            "native_quantity": 1,
            "public_unit_label": "per input character",
            "quantity": 1,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "audio_input_character"
          }
        ],
        "summary": "Full configuration pricing in details."
      }
    ],
    "ctx": null,
    "entity_type": "model",
    "formats": [
      "speech"
    ],
    "id": "elevenlabs/eleven-v3",
    "input": [
      "text"
    ],
    "kind": "speech",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Keep the complete binary result and headers. If JSON/multiple outputs are returned, retain every data item and fetch each actual signed asset URL.",
            "errors": [
              {
                "code": null,
                "condition": "Invalid required fields, material representation or parameter value",
                "http_status": 400,
                "recovery": "Correct the indicated fields before a new creation request.",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "The returned response says the operation or result requires a check",
                "http_status": null,
                "recovery": "Keep the original returned operation/task ID, request headers and response; continue supported reads of that original operation. Do not resubmit the creation request.",
                "type": "server_error"
              }
            ],
            "hints": [],
            "ignored_fields": [],
            "lifecycle": {
              "all_results": "Follow everyactualreturnedoutputandownedasset; no result is discardedbecauseindex0orcontent_urlalreadyexists.",
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed URL; never construct token"
                }
              ],
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "status": [
                {
                  "http": "GET",
                  "id_source": "actual returned task_id or media library record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "Retain original operation_id/X-Client-Request-ID for reconciliation without resubmission; no dedicated audio poll route."
            },
            "material_combinations": [
              {
                "content_type": "application/json",
                "mode": "text_to_speech",
                "required": [
                  "input"
                ]
              }
            ],
            "media_library": {
              "asset": {
                "fields": [
                  {
                    "description": null,
                    "name": "asset_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "task_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "output_key",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "family",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "model",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "method",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "status",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "content_type",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "sha256",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "size_bytes",
                    "type": "integer"
                  },
                  {
                    "description": null,
                    "name": "content_url",
                    "type": "string"
                  }
                ],
                "http": "GET",
                "id_source": "actual returned asset_id",
                "path": "/v1/media/assets/{asset_id}"
              },
              "content": {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "range_header_supported": true,
                "url_source": "Use exact returned signed content_url including its token; do not construct a token."
              },
              "expired_link": {
                "code": "link_expired",
                "http_status": 404,
                "recovery": "Read the asset again to obtain its refreshed signed content_url, then fetch that URL. Do not regenerate."
              },
              "list": {
                "all_pages": "Follow every returned next_cursor, then select records by their actual task_id/output_key.",
                "http": "GET",
                "output_fields": [
                  {
                    "description": null,
                    "name": "object",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "data",
                    "type": "asset[]"
                  },
                  {
                    "description": null,
                    "name": "next_cursor",
                    "type": "string|null"
                  }
                ],
                "parameters": [
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "family",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "cursor",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": 20,
                    "default_known": true,
                    "enum": null,
                    "enum_known": false,
                    "maximum": 100,
                    "minimum": 1,
                    "name": "limit",
                    "required": false,
                    "type": "integer"
                  }
                ],
                "path": "/v1/media/assets"
              },
              "revoke": {
                "http": "DELETE",
                "meaning": "Revokes/deletes the existing owned file; this is not generation cancellation.",
                "path": "/v1/media/assets/{asset_id}",
                "pending_status": "revoking",
                "success_statuses": [
                  202,
                  204
                ]
              },
              "task": {
                "http": "GET",
                "id_source": "actual returned task_id or media library record; operation_id is not task_id",
                "path": "/v1/media/tasks/{task_id}"
              }
            },
            "operation_modes": [
              "text_to_speech"
            ],
            "outputs": {
              "all_results": "Keep the complete binary result and headers. If JSON/multiple outputs are returned, retain every data item and fetch each actual signed asset URL.",
              "family": "audio",
              "fields": [
                {
                  "description": null,
                  "name": "binary audio",
                  "type": "bytes"
                },
                {
                  "description": null,
                  "name": "response headers",
                  "type": "headers"
                }
              ],
              "format": "mp3",
              "http_success": 200
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "elevenlabs/eleven-v3"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "limit_known": true,
                "maximum_length": 5000,
                "min_length": 1,
                "name": "input",
                "required": true,
                "type": "string",
                "unit": "Unicode characters"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "george",
                  "sarah",
                  "adam",
                  "alice",
                  "bella",
                  "bill",
                  "brian",
                  "callum",
                  "charlie",
                  "chris",
                  "daniel",
                  "eric",
                  "harry",
                  "jessica",
                  "laura",
                  "liam",
                  "lily",
                  "matilda",
                  "river",
                  "roger",
                  "will"
                ],
                "enum_known": true,
                "name": "voice",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "mp3"
                ],
                "enum_known": true,
                "name": "response_format",
                "required": true,
                "type": "string"
              }
            ],
            "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.",
            "unsupported": [
              "every field outside exactmodel,input,voice,response_format",
              "stream/speed/reference speech options"
            ]
          },
          "hints": [
            "Select exact voice from this model profile.",
            "Input characters and audio seconds are different meters."
          ],
          "input": {
            "content_type": "application/json",
            "input": "exact UTF-8 text; Unicode character count without normalization",
            "material_types": [
              "text"
            ],
            "max_input_characters": 5000,
            "other_options": false,
            "required": [
              "model",
              "input",
              "voice",
              "response_format"
            ],
            "response_format": [
              "mp3"
            ],
            "voice_ids": [
              "george",
              "sarah",
              "adam",
              "alice",
              "bella",
              "bill",
              "brian",
              "callum",
              "charlie",
              "chris",
              "daniel",
              "eric",
              "harry",
              "jessica",
              "laura",
              "liam",
              "lily",
              "matilda",
              "river",
              "roger",
              "will"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "actual returned task_id or media library record",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Retain original operation_id/X-Client-Request-ID for reconciliation without resubmission; no dedicated audio poll route."
          },
          "manufacturer_capability": null,
          "method": {
            "http": "POST",
            "path": "/v1/audio/speech"
          },
          "method_aliases": [],
          "operation_modes": [
            "text_to_speech"
          ],
          "output": {
            "family": "audio",
            "format": "mp3",
            "http_success": 200,
            "response": "full binary MP3 plus response headers",
            "result": "complete playable owned MP3"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "per input character"
            },
            "label": "input character",
            "units": [
              {
                "amount": "0.00016",
                "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": "0.00016",
                "native_quantity": 1,
                "public_unit_label": "per input character",
                "quantity": 1,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_character"
              }
            ]
          }
        ],
        "declared_tariff_references": [
          {
            "client_selectable": false,
            "key": "9e303522a8fa088ce7b2",
            "label": "ElevenLabs: Eleven v3",
            "profiles": [
              {
                "basis": "",
                "dimensions": {
                  "conditions": "Default configuration"
                },
                "label": "ElevenLabs: Eleven v3 · Default configuration",
                "units": [
                  {
                    "amount": "0.00008",
                    "amount_unit": "usd_per_exact_physical_unit",
                    "billing_input": false,
                    "key": "3f6ce57aacb745e55742ccc8",
                    "label": "Input characters",
                    "public_unit_label": "per input character",
                    "quantity": "1",
                    "rate_role": "declared_tariff_rate",
                    "side": "in",
                    "unit": "input_character"
                  }
                ]
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_VOICE_ID:?Choose an accepted voice ID from this exact model profile}\"\nexport AILOOT_VOICE_ID\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"elevenlabs/eleven-v3\", \"input\": \"Good afternoon! This is a short voice take.\"}')\nvoice=os.environ[\"AILOOT_VOICE_ID\"]\nallowed=json.loads('[\"george\", \"sarah\", \"adam\", \"alice\", \"bella\", \"bill\", \"brian\", \"callum\", \"charlie\", \"chris\", \"daniel\", \"eric\", \"harry\", \"jessica\", \"laura\", \"liam\", \"lily\", \"matilda\", \"river\", \"roger\", \"will\"]')\nif voice not in allowed: raise SystemExit(\"Choose an accepted voice ID from this exact model profile\")\np[\"voice\"]=voice\np[\"response_format\"]=\"mp3\"\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/speech \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o speech.mp3\n",
            "label": "curl",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-assets.json\n",
            "label": "List actual media assets",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_MEDIA_TASK_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_MEDIA_TASK_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_MEDIA_TASK_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/tasks/$resource_id\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-task.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-task.json\").read_text())))\nPY_RESULT\n",
            "label": "Read actual media task",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_ASSET_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_ASSET_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_ASSET_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/assets/$resource_id\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-asset.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-asset.json\").read_text())))\nPY_RESULT\n",
            "label": "Read actual asset metadata",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "speech",
        "hints": [
          "Select exact voice from this model profile.",
          "Input characters and audio seconds are different meters."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "text"
        ],
        "label": "Озвучка текста",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "out": null,
        "output": [
          "audio"
        ],
        "path": "/v1/audio/speech",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "per_request",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null,
          "unit_prices": {
            "audio_input_character": 0.00016
          }
        },
        "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": "0.00016",
                "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": "0.00016",
                "native_quantity": 1,
                "public_unit_label": "per input character",
                "quantity": 1,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_character"
              }
            ]
          }
        ],
        "request_model_id": "elevenlabs/eleven-v3",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/media/tasks/{task_id}",
          "GET /v1/media/assets/{asset_id}/content"
        ],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.00016",
            "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": "0.00016",
            "native_quantity": 1,
            "public_unit_label": "per input character",
            "quantity": 1,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "audio_input_character"
          }
        ]
      }
    ],
    "model_aliases": [
      {
        "canonical_model_id": "elevenlabs/eleven-v3",
        "request_model_id": "elevenlabs/eleven-v3",
        "route_label": "Ultra"
      }
    ],
    "name": "ElevenLabs: Eleven v3",
    "price": {
      "in": null,
      "in_label": null,
      "out": null,
      "out_label": null,
      "sort_in": null,
      "sort_out": null,
      "varies": true
    },
    "pricing_profiles": [
      {
        "dimensions": {
          "regime": "base"
        },
        "label": "Ultra",
        "units": [
          {
            "amount": "0.00016",
            "amount_unit": "usd_per_declared_unit",
            "conditions": {},
            "key": "characters",
            "label": "characters",
            "quantity": "1",
            "rate_role": "typed_published_regular_rate",
            "side": "in",
            "unit": "input_character"
          }
        ]
      }
    ],
    "public_id": "elevenlabs/eleven-v3",
    "short": "Eleven v3 synthesises emotionally expressive speech from a script, with inline audio tags and a producer dialogue mode. It supports more than 70 languages and a 5,000-character request limit for narration, character scenes and other performances where delivery matters."
  },
  "renderer_schema": {
    "method_order": "Original DTO methods order; every exact route/format/path/caller survives.",
    "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers."
  },
  "representation": "exact-public-dto-and-native-renderer-html",
  "representationNotes": {
    "current_reference": {
      "about_json_pointer": "/aboutHtml",
      "methods": [
        {
          "contract_json_pointer": "/methods/0/rawMethod/contract",
          "html_json_pointer": "/methods/0/html",
          "method_ordinal": 0
        }
      ],
      "role": "current-semantic-reference"
    },
    "raw_input": {
      "examples_role": "historical-input-not-current-ready-examples",
      "json_pointers": [
        "/rawModel",
        "/methods/0/rawMethod"
      ],
      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
  },
  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "Eleven v3 synthesises emotionally expressive speech from a script, with inline audio tags and a producer dialogue mode. It supports more than 70 languages and a 5,000-character request limit for narration, character scenes and other performances where delivery matters.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "ebc32faf20ef8f4f491f55cf964bd8e83e35ea86d329fe123012a6c3f965b15e",
    "renderer_sha256": "fed50305bd3bcc4980ac14df23640efb8c1bc1e819f9d53643d6f43e8974d3fe"
  },
  "sourceRevision": "41e36dd7b902a7993c32796d6c83d65d163cc26fdea536beff55b9ec4dd68bed"
}