{
  "aboutHtml": "<p>ltx 透過 /v1/videos 接受 prompt 與選用 image，輸出影片。可用文字指定運動，將商品照片動畫化為概念鏡頭；需要參考圖時可選。</p><p>控制為 model、prompt、image、negative_prompt。未鎖定更具體 LTX 版，也沒有 duration、resolution、frame-rate 或 audio 設定，不能保證方法未列的精確規格。只提交一次，保存原 task ID，收集完成工作的每個實際輸出。</p>",
  "aboutText": "ltx 透過 /v1/videos 接受 prompt 與選用 image，輸出影片。可用文字指定運動，將商品照片動畫化為概念鏡頭；需要參考圖時可選。 控制為 model、prompt、image、negative_prompt。未鎖定更具體 LTX 版，也沒有 duration、resolution、frame-rate 或 audio 設定，不能保證方法未列的精確規格。只提交一次，保存原 task ID，收集完成工作的每個實際輸出。",
  "editorialOverlay": {
    "copy_fields": {
      "about_html": "<p>ltx 透過 /v1/videos 接受 prompt 與選用 image，輸出影片。可用文字指定運動，將商品照片動畫化為概念鏡頭；需要參考圖時可選。</p><p>控制為 model、prompt、image、negative_prompt。未鎖定更具體 LTX 版，也沒有 duration、resolution、frame-rate 或 audio 設定，不能保證方法未列的精確規格。只提交一次，保存原 task ID，收集完成工作的每個實際輸出。</p>",
      "short_text": "文字與選用參考圖生成影片，支援 negative_prompt。"
    },
    "copy_sha256": "9cbc62f4e9724d0c1386aff1b5cb3cda7de4120527b6cfeb7e5f02564e409b78",
    "copy_source": {
      "locale": "zh-hant-tw",
      "pack_sha256": "0f56d90ba41881e1134accf82e57338f246f8753ca4c0cee929aaffada5d10e7",
      "record_model_id": "ltx",
      "source_facts_sha256": "af654c3bf1c7130d3dfd925daf2bebb5a90f996de0d6fff5854193582a88f7f3",
      "validation_sha256": "a2ac2f28056280fc0b2ea34a501bf156d5ce155406e57e708edf30bfdf6bfdc6"
    },
    "html_sha256": "0b60ddab72264fbcba3a5a7a877027282b589b431303a50b5a28ebbc26696f5e",
    "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06",
    "raw_model_unchanged": true,
    "schema": "ailoot-native-model-editorial-v1"
  },
  "locale": "zh-hant-tw",
  "methods": [
    {
      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">Ltx</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"關閉\">×</button></div><div class=\"idline\"><span>Lightricks /</span><code>ltx</code><button type=\"button\" id=\"copy-id\">複製 ID</button></div><nav class=\"card-jump-nav\" aria-label=\"模型卡片區段\"><button type=\"button\" data-card-jump=\"overview\">入門</button><button type=\"button\" data-card-jump=\"methods\">輸入與方法</button><button type=\"button\" data-card-jump=\"pricing\">方案</button><button type=\"button\" data-card-jump=\"examples\">範例</button><button type=\"button\" data-card-jump=\"results\">結果</button><button type=\"button\" data-card-jump=\"aliases\">別名</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"API 方法\"><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-0\" data-card-method=\"Ultra|videos|/v1/videos|ltx\">影片</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\">入門</h3><p class=\"mdesc-full\">文字與選用參考圖生成影片，支援 negative_prompt。</p><dl class=\"card-io\" data-card-io><div><dt>接受的輸入</dt><dd>文字 · 圖片</dd></div><div><dt>結果</dt><dd>影片</dd></div></dl><details class=\"card-about\"><summary>關於模型</summary><p class=\"note-s\" data-model-method-boundary>此說明介紹模型的能力。Ailoot 可用的輸入、輸出與選項，依所選方法列於下方。</p><div class=\"mabout\" id=\"m-about\"><p>ltx 透過 /v1/videos 接受 prompt 與選用 image，輸出影片。可用文字指定運動，將商品照片動畫化為概念鏡頭；需要參考圖時可選。</p><p>控制為 model、prompt、image、negative_prompt。未鎖定更具體 LTX 版，也沒有 duration、resolution、frame-rate 或 audio 設定，不能保證方法未列的精確規格。只提交一次，保存原 task ID，收集完成工作的每個實際輸出。</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Ailoot 可用 · 輸入與方法</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · Video</b> <code>POST /v1/videos</code></summary><dl class=\"method-capabilities\"><div><dt>輸入</dt><dd><code>text</code>, <code>image</code></dd></div><div><dt>輸出</dt><dd><code>video</code></dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>欄位</th><th>類型</th><th>要求</th><th>值與限制</th><th>預設值</th></tr></thead><tbody><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>string</code></td><td data-cell-label=\"要求\"><span class=\"card-cell-label\">要求</span>必填</td><td data-cell-label=\"值與限制\"><span class=\"card-cell-label\">值與限制</span><div>ltx</div><div>條件: 請原樣使用這個 Ailoot 路由選擇值。</div></td><td data-cell-label=\"預設值\" data-default=\"unspecified\"><span class=\"card-cell-label\">預設值</span>—</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">prompt</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>string</code></td><td data-cell-label=\"要求\"><span class=\"card-cell-label\">要求</span>必填</td><td data-cell-label=\"值與限制\"><span class=\"card-cell-label\">值與限制</span><div>條件: 請描述場景及其中的動態。</div></td><td data-cell-label=\"預設值\" data-default=\"unspecified\"><span class=\"card-cell-label\">預設值</span>—</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">image</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>string or array&lt;string&gt;</code></td><td data-cell-label=\"要求\"><span class=\"card-cell-label\">要求</span>選填</td><td data-cell-label=\"值與限制\"><span class=\"card-cell-label\">值與限制</span><div>條件: 請使用您實際可公開存取的圖片 URL 或 base64 圖片；所選模型支援圖片輸入。</div></td><td data-cell-label=\"預設值\" data-default=\"unspecified\"><span class=\"card-cell-label\">預設值</span>—</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">negative_prompt</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>string</code></td><td data-cell-label=\"要求\"><span class=\"card-cell-label\">要求</span>選填</td><td data-cell-label=\"值與限制\"><span class=\"card-cell-label\">值與限制</span><div>條件: 請描述要避免的內容。</div></td><td data-cell-label=\"預設值\" data-default=\"unspecified\"><span class=\"card-cell-label\">預設值</span>—</td></tr></tbody></table></div><details class=\"note-s\" data-method-contract><summary>方法參數與生命週期</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>參數</th><th>規格</th></tr></thead><tbody><tr><th data-cell-label=\"參數\" scope=\"row\"><span class=\"card-cell-label\">參數</span><code>content_type</code></th><td data-cell-label=\"規格\"><span class=\"card-cell-label\">規格</span>application/json</td></tr><tr><th data-cell-label=\"參數\" scope=\"row\"><span class=\"card-cell-label\">參數</span><code>required</code></th><td data-cell-label=\"規格\"><span class=\"card-cell-label\">規格</span>model, prompt</td></tr><tr><th data-cell-label=\"參數\" scope=\"row\"><span class=\"card-cell-label\">參數</span><code>optional</code></th><td data-cell-label=\"規格\"><span class=\"card-cell-label\">規格</span>image, negative_prompt</td></tr><tr><th data-cell-label=\"參數\" scope=\"row\"><span class=\"card-cell-label\">參數</span><code>material_types</code></th><td data-cell-label=\"規格\"><span class=\"card-cell-label\">規格</span>text, image</td></tr><tr><th data-cell-label=\"參數\" scope=\"row\"><span class=\"card-cell-label\">參數</span><code>conditions</code></th><td data-cell-label=\"規格\"><span class=\"card-cell-label\">規格</span>請原樣使用這個 Ailoot 路由選擇值。, 請描述場景及其中的動態。, 請使用您實際可公開存取的圖片 URL 或 base64 圖片；所選模型支援圖片輸入。, 請描述要避免的內容。</td></tr></tbody></table></div><p>方法別名： <code>/v1/videos/generations</code></p><p>生命週期： <code>submit_once_poll_original</code></p><p class=\"note-s\"><code>GET /v1/videos/{request_id}</code></p><p class=\"note-s\"><code>GET /v1/videos/generations/{request_id}</code></p><p class=\"note-s\"><code>GET /v1/videos/{request_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></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">方案</h3><div class=\"card-result-process\" data-billing-basis><h5>最終費用的計算方式</h5><p class=\"note-s\">顯示的費率用於在生成前估算費用。最終費用依原始生成作業記錄的成本計算。實測的輸出時間長度與預估數量並非最終計費數量。</p></div><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>費率資訊不會增加請求選項。支援的參數列於所選方法中。</p><dl data-price-conditions><dt>快速模式</dt><dd>未指定 <span class=\"note-s\">選取快速模式時</span></dd><dt>flex 模式</dt><dd>未指定 <span class=\"note-s\">選取 flex 模式時</span></dd><dt>最高推理強度</dt><dd>未指定 <span class=\"note-s\">最高推理強度採用 default 調整值時</span></dd></dl></div><div data-declared-tariff-pricing><h4>供比較的預估費率</h4><h4>各設定的價格</h4><p class=\"note-s\">請逐一核對各項費用與所列條件。每組互為替代選項的設定只套用一種費率。</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>設定</th><th>費率表</th><th>預估數量</th><th>計費數量</th><th>費用</th></tr></thead><tbody><tr><th data-cell-label=\"設定\" scope=\"row\"><span class=\"card-cell-label\">設定</span>基礎 token 費率</th><td data-cell-label=\"費率表\"><span class=\"card-cell-label\">費率表</span>基本費率</td><td data-cell-label=\"預估數量\"><span class=\"card-cell-label\">預估數量</span>—</td><td data-cell-label=\"計費數量\"><span class=\"card-cell-label\">計費數量</span>—</td><td data-cell-label=\"費用\"><span class=\"card-cell-label\">費用</span><div><span>輸入 · 輸入 Token · 僅供比較的估算</span> <b>—</b> <span class=\"price-unit\">/ 1K Token</span></div><div><span>輸出 · 輸出 Token · 僅供比較的估算</span> <b>—</b> <span class=\"price-unit\">/ 1K Token</span></div><div><span>輸入 · 讀取快取 · 僅供比較的估算</span> <b>—</b> <span class=\"price-unit\">/ 1K Token</span></div><div><span>輸入 · 寫入快取 · 僅供比較的估算</span> <b>—</b> <span class=\"price-unit\">/ 1K Token</span></div><div><span>輸入 · 寫入快取，1 小時 · 僅供比較的估算</span> <b>—</b> <span class=\"price-unit\">/ 1K Token</span></div></td></tr><tr><th data-cell-label=\"設定\" scope=\"row\"><span class=\"card-cell-label\">設定</span>每次請求</th><td data-cell-label=\"費率表\"><span class=\"card-cell-label\">費率表</span>—</td><td data-cell-label=\"預估數量\"><span class=\"card-cell-label\">預估數量</span>—</td><td data-cell-label=\"計費數量\"><span class=\"card-cell-label\">計費數量</span>1 次請求</td><td data-cell-label=\"費用\"><span class=\"card-cell-label\">費用</span><div><span>輸入 · 僅供比較的估算</span> <b>$0.1</b> <span class=\"price-unit\">每次請求</span></div></td></tr><tr><th data-cell-label=\"設定\" scope=\"row\"><span class=\"card-cell-label\">設定</span>預估生成費用</th><td data-cell-label=\"費率表\"><span class=\"card-cell-label\">費率表</span>—</td><td data-cell-label=\"預估數量\"><span class=\"card-cell-label\">預估數量</span>單次生成估算值</td><td data-cell-label=\"計費數量\"><span class=\"card-cell-label\">計費數量</span>—</td><td data-cell-label=\"費用\"><span class=\"card-cell-label\">費用</span><div><span>輸出 · 預估生成費用 · 僅供比較的估算</span> <b>$0.1</b> <span class=\"price-unit\">生成前估算</span></div><p class=\"note-s\">此估算並非額外費用，也不是本次生成完成後的固定費率。</p></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot 會在請求前預留估算金額。取得結果後，依實測用量結算最終費用。串流結算採用最終用量紀錄。<a href=\"/docs/zh-hant-tw/billing/reserve/\">預留金額與結算的運作方式 →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">請求範例</h3><h4>Ailoot Ultra · Video</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"程式碼版本\"><button class=\"cg-tab\" id=\"model-code-2811-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2811-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · 僅建立一次並保留回執</button><button class=\"cg-tab\" id=\"model-code-2811-tab-1\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2811-panel-1\" aria-selected=\"false\" tabindex=\"-1\">讀取原始任務</button><button class=\"cg-tab\" id=\"model-code-2811-tab-2\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2811-panel-2\" aria-selected=\"false\" tabindex=\"-1\">儲存您擁有的每個已完成素材</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"複製程式碼\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-2811-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2811-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\ncat &gt; request.json &lt;&lt;&#39;JSON&#39;\n{\n  &quot;model&quot;: &quot;ltx&quot;,\n  &quot;prompt&quot;: &quot;A cat is walking on grass.&quot;\n}\nJSON\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/videos \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Create once; retain id, polling_url, original task identifiers and every header.\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-2811-panel-1\" role=\"tabpanel\" aria-labelledby=\"model-code-2811-tab-1\" hidden><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nexport AILOOT_API_KEY\npython3 - &lt;&lt;&#39;PY_STATUS&#39;\nimport json,os,subprocess\nfrom pathlib import Path\nfrom urllib.parse import urljoin,urlsplit\nr=json.loads(Path(&quot;result.json&quot;).read_text())\nu=urljoin(&quot;https://api.ailoot.ai&quot;,r[&quot;polling_url&quot;])\np=urlsplit(u)\nif p.scheme!=&quot;https&quot; or p.netloc!=&quot;api.ailoot.ai&quot; or p.username or p.password:\n    raise SystemExit(&quot;Unexpected returned polling URL; preserve the response&quot;)\nsubprocess.run([&quot;curl&quot;,&quot;--fail-with-body&quot;,&quot;--silent&quot;,&quot;--show-error&quot;,u,&quot;-H&quot;,&quot;Authorization: Bearer &quot;+os.environ[&quot;AILOOT_API_KEY&quot;],&quot;-D&quot;,&quot;status-headers.txt&quot;,&quot;-o&quot;,&quot;status.json&quot;],check=True)\n# Read this same original polling_url again while pending.\n# Preserve unknown/result_pending_check; do not repeat creation.\nPY_STATUS\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-2811-panel-2\" role=\"tabpanel\" aria-labelledby=\"model-code-2811-tab-2\" hidden><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nexport AILOOT_API_KEY\npython3 - &lt;&lt;&#39;PY_ASSETS&#39;\nimport json,os,subprocess\nfrom pathlib import Path\nfrom urllib.parse import urljoin,urlsplit\nr=json.loads(Path(&quot;status.json&quot;).read_text())\nroles={}\ndef visit(v,path=&quot;&quot;):\n    if isinstance(v,dict):\n        for k,x in v.items(): visit(x,path+&quot;/&quot;+k)\n    elif isinstance(v,list):\n        for i,x in enumerate(v): visit(x,path+&quot;/&quot;+str(i))\n    elif isinstance(v,str):\n        u=urljoin(&quot;https://api.ailoot.ai&quot;,v); p=urlsplit(u)\n        if p.scheme==&quot;https&quot; and p.netloc==&quot;api.ailoot.ai&quot; and not p.username and not p.password and p.path.startswith(&quot;/v1/media/assets/&quot;) and p.path.endswith(&quot;/content&quot;):\n            roles.setdefault(u,[]).append(path)\nvisit(r)\nif not roles: raise SystemExit(&quot;No completed owned assets; retain the original status&quot;)\nmanifest=[]\nfor i,(u,paths) in enumerate(roles.items()):\n    target=Path(f&quot;asset-{i}.bin&quot;)\n    subprocess.run([&quot;curl&quot;,&quot;--fail-with-body&quot;,&quot;--silent&quot;,&quot;--show-error&quot;,u,&quot;-H&quot;,&quot;Authorization: Bearer &quot;+os.environ[&quot;AILOOT_API_KEY&quot;],&quot;-o&quot;,str(target)],check=True)\n    raw=target.read_bytes()\n    if not raw: raise SystemExit(&quot;Empty asset; retain original status and metadata&quot;)\n    ext=&quot;glb&quot; if raw[:4]==b&quot;glTF&quot; else &quot;png&quot; if raw[:8]==b&quot;\\x89PNG\\r\\n\\x1a\\n&quot; else &quot;jpg&quot; if raw[:3]==b&quot;\\xff\\xd8\\xff&quot; else &quot;webp&quot; if raw[:4]==b&quot;RIFF&quot; and raw[8:12]==b&quot;WEBP&quot; else &quot;mp4&quot; if raw[4:8]==b&quot;ftyp&quot; else &quot;bin&quot;\n    name=f&quot;asset-{i}.{ext}&quot;\n    if target.name!=name: target.rename(name)\n    manifest.append({&quot;file&quot;:name,&quot;response_paths&quot;:paths,&quot;bytes&quot;:len(raw)})\nPath(&quot;asset-manifest.json&quot;).write_text(json.dumps(manifest,indent=2))\nprint(&quot;Saved&quot;,len(manifest),&quot;unique owned assets; every response role retained&quot;)\nPY_ASSETS\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">接收並儲存結果</h3><h4>Ailoot Ultra · Video</h4><ul class=\"card-result-paths\"><li><code>GET /v1/videos/{request_id}</code></li><li><code>GET /v1/videos/generations/{request_id}</code></li><li><code>GET /v1/videos/{request_id}/content</code></li><li><code>GET /v1/media/assets</code></li><li><code>GET /v1/media/assets/{asset_id}</code></li></ul><div class=\"card-result-process\" data-all-results><h5>保留所有已完成的結果</h5><p class=\"note-s\">請儲存每部已完成的影片或傳回的檔案，並從實際傳回的每個素材 URL 取得素材。</p><p class=\"note-s\">請保留完整回應與標頭、原始識別碼、每個實際輸出，以及所有用量／帳務欄位。請儲存每個不重複的自有資產，並保留指向該資產的每個角色。</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>需要檢查原始回應時</h5><p class=\"note-s\">請保留回傳的公開工作或操作 id，以及所有標頭。僅讀取原始工作；unknown 或 result_pending_check 均不代表可以再次建立。</p></div><details class=\"card-about\" data-output-fields><summary>回應欄位</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>欄位</th><th>類型</th></tr></thead><tbody><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">id</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span>string</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">polling_url</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span>string</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">provider_task_id</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span>string</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">task_id</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span>string</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">status</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span>string</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">video_url</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span>string</td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">別名</h3><h4>模型別名</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=ltx&amp;route=Ultra&amp;caller=ltx&amp;fmt=videos\"><code>ltx</code></a></span></p><h4>方法路徑別名</h4><p class=\"note-s\"><code>/v1/videos/generations</code></p><h4>相關呼叫用 ID</h4><p class=\"note-s\"><a href=\"#m=ltx&amp;route=Ultra&amp;caller=ltx&amp;fmt=videos\"><code>ltx</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "ltx",
        "fmt": "videos",
        "http": "POST",
        "path": "/v1/videos",
        "request_model_id": "ltx",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|videos|/v1/videos|ltx",
      "ordinal": 0,
      "rawMethod": {
        "billing_basis": {
          "basis": "original_invoice_usd",
          "description": "The displayed rates estimate the cost before generation. The final charge is calculated from the cost recorded for the original generation. Measured output duration and forecast quantities are not the final billable quantity.",
          "forecast_quantity_is_estimate": true,
          "physical_output_is_billable_quantity": false,
          "version": "original_invoice_usd_v1"
        },
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response and headers, original identifiers, every actual output and all usage/accounting fields. Save each unique owned asset and retain every role pointing to it.",
            "lifecycle": {
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "cancel_endpoint": null,
              "completed_states": [
                "completed"
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/videos/{request_id}/content",
                  "query": {
                    "index": "actual output index; default 0"
                  }
                }
              ],
              "create": {
                "http": "POST",
                "path": "/v1/videos"
              },
              "failed_states": [
                "failed"
              ],
              "id_source": "Use returned polling_url and id. Keep provider_task_id and X-Ailoot-Task-Id as separate original identifiers.",
              "mode": "submit_once_poll_original",
              "owned_content": {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "Use the exact returned signed URL; never construct a token."
              },
              "pending_states": [
                "pending",
                "processing"
              ],
              "state_field": "status",
              "status": [
                {
                  "http": "GET",
                  "path": "/v1/videos/{request_id}"
                },
                {
                  "http": "GET",
                  "path": "/v1/videos/generations/{request_id}"
                }
              ],
              "unknown": "請保留回傳的公開工作或操作 id，以及所有標頭。僅讀取原始工作；unknown 或 result_pending_check 均不代表可以再次建立。",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "請保留完整回應與標頭、原始識別碼、每個實際輸出，以及所有用量／帳務欄位。請儲存每個不重複的自有資產，並保留指向該資產的每個角色。",
              "every_actual_output": true,
              "family": "video",
              "fields": [
                {
                  "name": "id",
                  "type": "string"
                },
                {
                  "name": "polling_url",
                  "type": "string"
                },
                {
                  "name": "provider_task_id",
                  "type": "string"
                },
                {
                  "name": "task_id",
                  "type": "string"
                },
                {
                  "name": "status",
                  "type": "string"
                },
                {
                  "name": "video_url",
                  "type": "string"
                }
              ],
              "maximum_outputs": null
            },
            "parameters": [
              {
                "conditions": "請原樣使用這個 Ailoot 路由選擇值。",
                "default_known": false,
                "enum": [
                  "ltx"
                ],
                "enum_known": true,
                "maximum_length": null,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "conditions": "請描述場景及其中的動態。",
                "default_known": false,
                "enum_known": false,
                "maximum_length": null,
                "name": "prompt",
                "required": true,
                "type": "string"
              },
              {
                "anyOf": [
                  {
                    "type": "string"
                  },
                  {
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  }
                ],
                "conditions": "請使用您實際可公開存取的圖片 URL 或 base64 圖片；所選模型支援圖片輸入。",
                "default_known": false,
                "enum_known": false,
                "maximum_length": null,
                "name": "image",
                "required": false,
                "type": "string or array<string>"
              },
              {
                "conditions": "請描述要避免的內容。",
                "default_known": false,
                "enum_known": false,
                "maximum_length": null,
                "name": "negative_prompt",
                "required": false,
                "type": "string"
              }
            ],
            "request_schema": {
              "additionalProperties": true,
              "properties": {
                "image": {
                  "anyOf": [
                    {
                      "type": "string"
                    },
                    {
                      "items": {
                        "type": "string"
                      },
                      "type": "array"
                    }
                  ]
                },
                "model": {
                  "enum": [
                    "ltx"
                  ],
                  "type": "string"
                },
                "negative_prompt": {
                  "type": "string"
                },
                "prompt": {
                  "type": "string"
                }
              },
              "required": [
                "model",
                "prompt"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "model": "ltx",
                "prompt": "A cat is walking on grass."
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "請原樣使用這個 Ailoot 路由選擇值。",
              "請描述場景及其中的動態。",
              "請使用您實際可公開存取的圖片 URL 或 base64 圖片；所選模型支援圖片輸入。",
              "請描述要避免的內容。"
            ],
            "content_type": "application/json",
            "material_types": [
              "text",
              "image"
            ],
            "optional": [
              "image",
              "negative_prompt"
            ],
            "required": [
              "model",
              "prompt"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "cancel_endpoint": null,
            "completed_states": [
              "completed"
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/videos/{request_id}/content",
                "query": {
                  "index": "actual output index; default 0"
                }
              }
            ],
            "create": {
              "http": "POST",
              "path": "/v1/videos"
            },
            "failed_states": [
              "failed"
            ],
            "id_source": "Use returned polling_url and id. Keep provider_task_id and X-Ailoot-Task-Id as separate original identifiers.",
            "mode": "submit_once_poll_original",
            "owned_content": {
              "http": "GET",
              "path": "/v1/media/assets/{asset_id}/content",
              "url_source": "Use the exact returned signed URL; never construct a token."
            },
            "pending_states": [
              "pending",
              "processing"
            ],
            "state_field": "status",
            "status": [
              {
                "http": "GET",
                "path": "/v1/videos/{request_id}"
              },
              {
                "http": "GET",
                "path": "/v1/videos/generations/{request_id}"
              }
            ],
            "unknown": "Keep the returned public task or operation id and all headers. Read only the original task; unknown or result_pending_check does not authorize another creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/videos"
          },
          "method_aliases": [
            "/v1/videos/generations"
          ],
          "output": {
            "all_results": "Retain the complete response and headers, original identifiers, every actual output and all usage/accounting fields. Save each unique owned asset and retain every role pointing to it.",
            "every_actual_output": true,
            "family": "video",
            "fields": [
              {
                "name": "id",
                "type": "string"
              },
              {
                "name": "polling_url",
                "type": "string"
              },
              {
                "name": "provider_task_id",
                "type": "string"
              },
              {
                "name": "task_id",
                "type": "string"
              },
              {
                "name": "status",
                "type": "string"
              },
              {
                "name": "video_url",
                "type": "string"
              }
            ],
            "maximum_outputs": null
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "billing_quantity": "one request"
            },
            "label": "Per request",
            "units": [
              {
                "amount": "0.1",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "per_request",
                "label": "per request",
                "native_amount_usd_per_unit": "0.1",
                "native_quantity": 1,
                "public_unit_label": "per request",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "per_request"
              }
            ]
          },
          {
            "basis": "此估算並非額外費用，也不是本次生成完成後的固定費率。",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "預估生成費用",
            "units": [
              {
                "amount": "0.1",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.1",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncat > request.json <<'JSON'\n{\n  \"model\": \"ltx\",\n  \"prompt\": \"A cat is walking on grass.\"\n}\nJSON\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/videos \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Create once; retain id, polling_url, original task identifiers and every header.\n",
            "label": "curl · create once and retain receipt",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_STATUS'\nimport json,os,subprocess\nfrom pathlib import Path\nfrom urllib.parse import urljoin,urlsplit\nr=json.loads(Path(\"result.json\").read_text())\nu=urljoin(\"https://api.ailoot.ai\",r[\"polling_url\"])\np=urlsplit(u)\nif p.scheme!=\"https\" or p.netloc!=\"api.ailoot.ai\" or p.username or p.password:\n    raise SystemExit(\"Unexpected returned polling URL; preserve the response\")\nsubprocess.run([\"curl\",\"--fail-with-body\",\"--silent\",\"--show-error\",u,\"-H\",\"Authorization: Bearer \"+os.environ[\"AILOOT_API_KEY\"],\"-D\",\"status-headers.txt\",\"-o\",\"status.json\"],check=True)\n# Read this same original polling_url again while pending.\n# Preserve unknown/result_pending_check; do not repeat creation.\nPY_STATUS\n",
            "label": "Read the original task",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_ASSETS'\nimport json,os,subprocess\nfrom pathlib import Path\nfrom urllib.parse import urljoin,urlsplit\nr=json.loads(Path(\"status.json\").read_text())\nroles={}\ndef visit(v,path=\"\"):\n    if isinstance(v,dict):\n        for k,x in v.items(): visit(x,path+\"/\"+k)\n    elif isinstance(v,list):\n        for i,x in enumerate(v): visit(x,path+\"/\"+str(i))\n    elif isinstance(v,str):\n        u=urljoin(\"https://api.ailoot.ai\",v); p=urlsplit(u)\n        if p.scheme==\"https\" and p.netloc==\"api.ailoot.ai\" and not p.username and not p.password and p.path.startswith(\"/v1/media/assets/\") and p.path.endswith(\"/content\"):\n            roles.setdefault(u,[]).append(path)\nvisit(r)\nif not roles: raise SystemExit(\"No completed owned assets; retain the original status\")\nmanifest=[]\nfor i,(u,paths) in enumerate(roles.items()):\n    target=Path(f\"asset-{i}.bin\")\n    subprocess.run([\"curl\",\"--fail-with-body\",\"--silent\",\"--show-error\",u,\"-H\",\"Authorization: Bearer \"+os.environ[\"AILOOT_API_KEY\"],\"-o\",str(target)],check=True)\n    raw=target.read_bytes()\n    if not raw: raise SystemExit(\"Empty asset; retain original status and metadata\")\n    ext=\"glb\" if raw[:4]==b\"glTF\" else \"png\" if raw[:8]==b\"\\x89PNG\\r\\n\\x1a\\n\" else \"jpg\" if raw[:3]==b\"\\xff\\xd8\\xff\" else \"webp\" if raw[:4]==b\"RIFF\" and raw[8:12]==b\"WEBP\" else \"mp4\" if raw[4:8]==b\"ftyp\" else \"bin\"\n    name=f\"asset-{i}.{ext}\"\n    if target.name!=name: target.rename(name)\n    manifest.append({\"file\":name,\"response_paths\":paths,\"bytes\":len(raw)})\nPath(\"asset-manifest.json\").write_text(json.dumps(manifest,indent=2))\nprint(\"Saved\",len(manifest),\"unique owned assets; every response role retained\")\nPY_ASSETS\n",
            "label": "Save every completed owned asset",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "videos",
        "http": "POST",
        "in": null,
        "input": [
          "text",
          "image"
        ],
        "label": "Video",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "out": null,
        "output": [
          "video"
        ],
        "path": "/v1/videos",
        "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": "original_invoice_usd",
          "image_input_price": null,
          "image_output_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "billing_quantity": "one request"
            },
            "label": "Per request",
            "units": [
              {
                "amount": "0.1",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "per_request",
                "label": "per request",
                "native_amount_usd_per_unit": "0.1",
                "native_quantity": 1,
                "public_unit_label": "per request",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "per_request"
              }
            ]
          },
          {
            "basis": "This estimate is not an additional charge or a fixed rate for the completed generation.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Estimated generation cost",
            "units": [
              {
                "amount": "0.1",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.1",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "request_model_id": "ltx",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/videos/{request_id}",
          "GET /v1/videos/generations/{request_id}"
        ],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "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": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "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": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "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": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "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": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "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": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.1",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "per_request",
            "label": "per request",
            "native_amount_usd_per_unit": "0.1",
            "native_quantity": 1,
            "public_unit_label": "per request",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "per_request"
          },
          {
            "amount": "0.1",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "forecast_usd",
            "label": "Estimated generation cost",
            "native_amount_usd_per_unit": "0.1",
            "native_quantity": 1,
            "public_unit_label": "estimate before generation",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "request_estimate"
          }
        ]
      }
    }
  ],
  "model_id": "ltx",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "59dcbae2ede8b4c75467f1a33c0fabccb43d801d5dbbba5ff88a929f4b9fe956",
    "input_html_sha256": "18137653db2e7f972d60705e21b395ceaec56d27948e3ea7df58e34814593df3",
    "private_audit_sha256": "8e994cfbba89e8982d9249a26fc97d642affa65632bc28d2b3debcea997719bd",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/zh-hant-tw/ltx/",
    "description": "文字與選用參考圖生成影片，支援 negative_prompt。",
    "locale": "zh-hant-tw",
    "md_url": "https://ailoot.ai/models/zh-hant-tw/ltx/index.md",
    "title": "Ltx — Ailoot",
    "url": "https://ailoot.ai/models/zh-hant-tw/ltx/"
  },
  "rawModel": {
    "about": "Ltx 是 Lightricks 影片模型，文件中的目錄列有文字轉影片與圖片轉影片能力。模型項目以文字提示詞為主，並提供選用的圖片與負面提示詞。可透過文字將構想建立為場景，或使用圖片作為動態發展的視覺起點。\n\n以文字為起點製作鏡頭時，先描述主體與事件，再加入氛圍。紙船在路緣旁漂流、人物走進明亮的走廊，或吊燈輕輕擺動，都能讓場景有清楚可辨的動作。加入決定該動作呈現方式的場景與外觀細節。\n\n以圖片為起點製作鏡頭時，選擇能呈現片段所需保留特徵的參考圖。讓主體輪廓、姿勢與重要材質細節保持可見。描述從起始影格開始的動作，以及想用作結尾的畫面。將原始圖片與完成的影片一起保存，便於直接比較。\n\n將運鏡指示與主體動作分開撰寫。固定視角能強調小幅度動作，移動視角則能揭示場景或物件。說明鏡頭所需的關係。描述應聚焦於一個視覺目的，讓完成的片段有明確的檢視依據。\n\n文件中的項目包含負面提示詞。所選工作流程提供此欄位時，可用簡潔文字填入與場景相關、但不希望出現的視覺特徵。主要提示詞應負責描述所需主體、動作與構圖。將完整的負面提示詞與結果一起記錄，讓修改時仍能清楚掌握它的作用。\n\nLtx 可考慮用於分鏡動態研究、場景概念，以及以圖片為起點的動畫實驗。每種用途都應設定具體的檢視問題：動作是否清楚可辨、揭示鏡頭是否以正確構圖結束，或主體在移動中是否仍可辨識。依照該問題判斷實際影片片段。\n\n以預定觀看尺寸檢查完整片段。確認形狀變化、臉部與物件細節、主體間的重疊，以及移動方向。將結尾放在預定剪輯的情境下檢視。保留動態能服務場景的片段，並一併保存重現其創作說明所需的來源素材。\n\n將完成的影片、模型選擇、提示詞、圖片及任何負面提示詞，保存為一份紀錄。候選版本需要修改時，描述觀察到的不符之處，並調整創作說明中的相關部分。保留已成功的主體與構圖選擇，讓比較持續聚焦於正在修正的問題。",
    "about_sha256": "a7c7df8ff4cc570ed429246503bf93e78529f1772205029e12096326d6a2af94",
    "alias_of": null,
    "aliases": [],
    "author": "Lightricks",
    "capabilities": {
      "context_length": 0,
      "manufacturer_input": [
        "text",
        "image"
      ],
      "manufacturer_output": [
        "video"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.1",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "forecast_usd",
            "label": "Estimated generation cost",
            "native_amount_usd_per_unit": "0.1",
            "native_quantity": 1,
            "public_unit_label": "estimate before generation",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "request_estimate"
          }
        ],
        "summary": "完整的設定價格資訊請見詳細資料。"
      }
    ],
    "ctx": null,
    "display_name": "Ltx",
    "formats": [
      "videos"
    ],
    "id": "ltx",
    "input": [
      "text",
      "image"
    ],
    "kind": "video",
    "locale": "en",
    "max_out": null,
    "methods": [
      {
        "billing_basis": {
          "basis": "original_invoice_usd",
          "description": "The displayed rates estimate the cost before generation. The final charge is calculated from the cost recorded for the original generation. Measured output duration and forecast quantities are not the final billable quantity.",
          "forecast_quantity_is_estimate": true,
          "physical_output_is_billable_quantity": false,
          "version": "original_invoice_usd_v1"
        },
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response and headers, original identifiers, every actual output and all usage/accounting fields. Save each unique owned asset and retain every role pointing to it.",
            "lifecycle": {
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "cancel_endpoint": null,
              "completed_states": [
                "completed"
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/videos/{request_id}/content",
                  "query": {
                    "index": "actual output index; default 0"
                  }
                }
              ],
              "create": {
                "http": "POST",
                "path": "/v1/videos"
              },
              "failed_states": [
                "failed"
              ],
              "id_source": "Use returned polling_url and id. Keep provider_task_id and X-Ailoot-Task-Id as separate original identifiers.",
              "mode": "submit_once_poll_original",
              "owned_content": {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "Use the exact returned signed URL; never construct a token."
              },
              "pending_states": [
                "pending",
                "processing"
              ],
              "state_field": "status",
              "status": [
                {
                  "http": "GET",
                  "path": "/v1/videos/{request_id}"
                },
                {
                  "http": "GET",
                  "path": "/v1/videos/generations/{request_id}"
                }
              ],
              "unknown": "請保留回傳的公開工作或操作 id，以及所有標頭。僅讀取原始工作；unknown 或 result_pending_check 均不代表可以再次建立。",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "請保留完整回應與標頭、原始識別碼、每個實際輸出，以及所有用量／帳務欄位。請儲存每個不重複的自有資產，並保留指向該資產的每個角色。",
              "every_actual_output": true,
              "family": "video",
              "fields": [
                {
                  "name": "id",
                  "type": "string"
                },
                {
                  "name": "polling_url",
                  "type": "string"
                },
                {
                  "name": "provider_task_id",
                  "type": "string"
                },
                {
                  "name": "task_id",
                  "type": "string"
                },
                {
                  "name": "status",
                  "type": "string"
                },
                {
                  "name": "video_url",
                  "type": "string"
                }
              ],
              "maximum_outputs": null
            },
            "parameters": [
              {
                "conditions": "請原樣使用這個 Ailoot 路由選擇值。",
                "default_known": false,
                "enum": [
                  "ltx"
                ],
                "enum_known": true,
                "maximum_length": null,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "conditions": "請描述場景及其中的動態。",
                "default_known": false,
                "enum_known": false,
                "maximum_length": null,
                "name": "prompt",
                "required": true,
                "type": "string"
              },
              {
                "anyOf": [
                  {
                    "type": "string"
                  },
                  {
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  }
                ],
                "conditions": "請使用您實際可公開存取的圖片 URL 或 base64 圖片；所選模型支援圖片輸入。",
                "default_known": false,
                "enum_known": false,
                "maximum_length": null,
                "name": "image",
                "required": false,
                "type": "string or array<string>"
              },
              {
                "conditions": "請描述要避免的內容。",
                "default_known": false,
                "enum_known": false,
                "maximum_length": null,
                "name": "negative_prompt",
                "required": false,
                "type": "string"
              }
            ],
            "request_schema": {
              "additionalProperties": true,
              "properties": {
                "image": {
                  "anyOf": [
                    {
                      "type": "string"
                    },
                    {
                      "items": {
                        "type": "string"
                      },
                      "type": "array"
                    }
                  ]
                },
                "model": {
                  "enum": [
                    "ltx"
                  ],
                  "type": "string"
                },
                "negative_prompt": {
                  "type": "string"
                },
                "prompt": {
                  "type": "string"
                }
              },
              "required": [
                "model",
                "prompt"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "model": "ltx",
                "prompt": "A cat is walking on grass."
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "請原樣使用這個 Ailoot 路由選擇值。",
              "請描述場景及其中的動態。",
              "請使用您實際可公開存取的圖片 URL 或 base64 圖片；所選模型支援圖片輸入。",
              "請描述要避免的內容。"
            ],
            "content_type": "application/json",
            "material_types": [
              "text",
              "image"
            ],
            "optional": [
              "image",
              "negative_prompt"
            ],
            "required": [
              "model",
              "prompt"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "cancel_endpoint": null,
            "completed_states": [
              "completed"
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/videos/{request_id}/content",
                "query": {
                  "index": "actual output index; default 0"
                }
              }
            ],
            "create": {
              "http": "POST",
              "path": "/v1/videos"
            },
            "failed_states": [
              "failed"
            ],
            "id_source": "Use returned polling_url and id. Keep provider_task_id and X-Ailoot-Task-Id as separate original identifiers.",
            "mode": "submit_once_poll_original",
            "owned_content": {
              "http": "GET",
              "path": "/v1/media/assets/{asset_id}/content",
              "url_source": "Use the exact returned signed URL; never construct a token."
            },
            "pending_states": [
              "pending",
              "processing"
            ],
            "state_field": "status",
            "status": [
              {
                "http": "GET",
                "path": "/v1/videos/{request_id}"
              },
              {
                "http": "GET",
                "path": "/v1/videos/generations/{request_id}"
              }
            ],
            "unknown": "Keep the returned public task or operation id and all headers. Read only the original task; unknown or result_pending_check does not authorize another creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/videos"
          },
          "method_aliases": [
            "/v1/videos/generations"
          ],
          "output": {
            "all_results": "Retain the complete response and headers, original identifiers, every actual output and all usage/accounting fields. Save each unique owned asset and retain every role pointing to it.",
            "every_actual_output": true,
            "family": "video",
            "fields": [
              {
                "name": "id",
                "type": "string"
              },
              {
                "name": "polling_url",
                "type": "string"
              },
              {
                "name": "provider_task_id",
                "type": "string"
              },
              {
                "name": "task_id",
                "type": "string"
              },
              {
                "name": "status",
                "type": "string"
              },
              {
                "name": "video_url",
                "type": "string"
              }
            ],
            "maximum_outputs": null
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "billing_quantity": "one request"
            },
            "label": "Per request",
            "units": [
              {
                "amount": "0.1",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "per_request",
                "label": "per request",
                "native_amount_usd_per_unit": "0.1",
                "native_quantity": 1,
                "public_unit_label": "per request",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "per_request"
              }
            ]
          },
          {
            "basis": "此估算並非額外費用，也不是本次生成完成後的固定費率。",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "預估生成費用",
            "units": [
              {
                "amount": "0.1",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.1",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncat > request.json <<'JSON'\n{\n  \"model\": \"ltx\",\n  \"prompt\": \"A cat is walking on grass.\"\n}\nJSON\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/videos \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Create once; retain id, polling_url, original task identifiers and every header.\n",
            "label": "curl · create once and retain receipt",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_STATUS'\nimport json,os,subprocess\nfrom pathlib import Path\nfrom urllib.parse import urljoin,urlsplit\nr=json.loads(Path(\"result.json\").read_text())\nu=urljoin(\"https://api.ailoot.ai\",r[\"polling_url\"])\np=urlsplit(u)\nif p.scheme!=\"https\" or p.netloc!=\"api.ailoot.ai\" or p.username or p.password:\n    raise SystemExit(\"Unexpected returned polling URL; preserve the response\")\nsubprocess.run([\"curl\",\"--fail-with-body\",\"--silent\",\"--show-error\",u,\"-H\",\"Authorization: Bearer \"+os.environ[\"AILOOT_API_KEY\"],\"-D\",\"status-headers.txt\",\"-o\",\"status.json\"],check=True)\n# Read this same original polling_url again while pending.\n# Preserve unknown/result_pending_check; do not repeat creation.\nPY_STATUS\n",
            "label": "Read the original task",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_ASSETS'\nimport json,os,subprocess\nfrom pathlib import Path\nfrom urllib.parse import urljoin,urlsplit\nr=json.loads(Path(\"status.json\").read_text())\nroles={}\ndef visit(v,path=\"\"):\n    if isinstance(v,dict):\n        for k,x in v.items(): visit(x,path+\"/\"+k)\n    elif isinstance(v,list):\n        for i,x in enumerate(v): visit(x,path+\"/\"+str(i))\n    elif isinstance(v,str):\n        u=urljoin(\"https://api.ailoot.ai\",v); p=urlsplit(u)\n        if p.scheme==\"https\" and p.netloc==\"api.ailoot.ai\" and not p.username and not p.password and p.path.startswith(\"/v1/media/assets/\") and p.path.endswith(\"/content\"):\n            roles.setdefault(u,[]).append(path)\nvisit(r)\nif not roles: raise SystemExit(\"No completed owned assets; retain the original status\")\nmanifest=[]\nfor i,(u,paths) in enumerate(roles.items()):\n    target=Path(f\"asset-{i}.bin\")\n    subprocess.run([\"curl\",\"--fail-with-body\",\"--silent\",\"--show-error\",u,\"-H\",\"Authorization: Bearer \"+os.environ[\"AILOOT_API_KEY\"],\"-o\",str(target)],check=True)\n    raw=target.read_bytes()\n    if not raw: raise SystemExit(\"Empty asset; retain original status and metadata\")\n    ext=\"glb\" if raw[:4]==b\"glTF\" else \"png\" if raw[:8]==b\"\\x89PNG\\r\\n\\x1a\\n\" else \"jpg\" if raw[:3]==b\"\\xff\\xd8\\xff\" else \"webp\" if raw[:4]==b\"RIFF\" and raw[8:12]==b\"WEBP\" else \"mp4\" if raw[4:8]==b\"ftyp\" else \"bin\"\n    name=f\"asset-{i}.{ext}\"\n    if target.name!=name: target.rename(name)\n    manifest.append({\"file\":name,\"response_paths\":paths,\"bytes\":len(raw)})\nPath(\"asset-manifest.json\").write_text(json.dumps(manifest,indent=2))\nprint(\"Saved\",len(manifest),\"unique owned assets; every response role retained\")\nPY_ASSETS\n",
            "label": "Save every completed owned asset",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "videos",
        "http": "POST",
        "in": null,
        "input": [
          "text",
          "image"
        ],
        "label": "Video",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "out": null,
        "output": [
          "video"
        ],
        "path": "/v1/videos",
        "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": "original_invoice_usd",
          "image_input_price": null,
          "image_output_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "billing_quantity": "one request"
            },
            "label": "Per request",
            "units": [
              {
                "amount": "0.1",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "per_request",
                "label": "per request",
                "native_amount_usd_per_unit": "0.1",
                "native_quantity": 1,
                "public_unit_label": "per request",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "per_request"
              }
            ]
          },
          {
            "basis": "This estimate is not an additional charge or a fixed rate for the completed generation.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Estimated generation cost",
            "units": [
              {
                "amount": "0.1",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.1",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "request_model_id": "ltx",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/videos/{request_id}",
          "GET /v1/videos/generations/{request_id}"
        ],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "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": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "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": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "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": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "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": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "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": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.1",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "per_request",
            "label": "per request",
            "native_amount_usd_per_unit": "0.1",
            "native_quantity": 1,
            "public_unit_label": "per request",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "per_request"
          },
          {
            "amount": "0.1",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "forecast_usd",
            "label": "Estimated generation cost",
            "native_amount_usd_per_unit": "0.1",
            "native_quantity": 1,
            "public_unit_label": "estimate before generation",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "request_estimate"
          }
        ]
      }
    ],
    "model_aliases": [
      {
        "canonical_model_id": "ltx",
        "request_model_id": "ltx",
        "route_label": "Ultra"
      }
    ],
    "name": "Ltx",
    "price": {
      "estimate_only": true,
      "in": null,
      "in_label": null,
      "out": 0.1,
      "out_label": "estimate before generation",
      "scope_label": "Estimated generation cost",
      "sort_in": null,
      "sort_out": 0.1,
      "varies": false
    },
    "short": "Ltx 可根據文字提示詞或提供的圖片生成影片。文件中的控制項以場景描述、選用的參考圖與負面提示詞為主，可用來發展聚焦明確的動態鏡頭。",
    "short_sha256": "138fdeecedc0596c0087ceb0255d3d8c0e4ec3d45ff3a1fadaaa7582641b9d80"
  },
  "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": "文字與選用參考圖生成影片，支援 negative_prompt。",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "a148f693097c6b53e0a8292d69d8bed89abe93fbe91899ead51b8a8a9ed24734",
    "renderer_sha256": "13a3fc1b22d07359278e2249d630bfc9bb9e6416c71ba53def933fb5a903660b"
  },
  "sourceRevision": "f8b9f21a1e0a408d2531eaf53e0b42b5e542b73a86e34c78aff34c104cb0158b"
}