{
  "aboutHtml": "<p>hunyuan is the video-generation entry whose accepted /v1/videos request requires model and prompt. A concrete use is creating a concept shot from text, such as a bicycle passing a storefront, for later inclusion in a storyboard. Choose this entry when text-to-video fits the task and the minimal request surface is sufficient.</p><p>The contract does not identify a more specific Hunyuan edition or expose duration, resolution or reference-image controls. Submit the scene once and read the returned original task until completion; the initial job identifier is not the finished video. Collect every actual output from that task. The separate hunyuan-pro and hunyuan-role entries are text-conversation routes and should not be substituted for this video workflow.</p>",
  "aboutText": "hunyuan is the video-generation entry whose accepted /v1/videos request requires model and prompt. A concrete use is creating a concept shot from text, such as a bicycle passing a storefront, for later inclusion in a storyboard. Choose this entry when text-to-video fits the task and the minimal request surface is sufficient. The contract does not identify a more specific Hunyuan edition or expose duration, resolution or reference-image controls. Submit the scene once and read the returned original task until completion; the initial job identifier is not the finished video. Collect every actual output from that task. The separate hunyuan-pro and hunyuan-role entries are text-conversation routes and should not be substituted for this video workflow.",
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      "about_html": "<p>hunyuan is the video-generation entry whose accepted /v1/videos request requires model and prompt. A concrete use is creating a concept shot from text, such as a bicycle passing a storefront, for later inclusion in a storyboard. Choose this entry when text-to-video fits the task and the minimal request surface is sufficient.</p><p>The contract does not identify a more specific Hunyuan edition or expose duration, resolution or reference-image controls. Submit the scene once and read the returned original task until completion; the initial job identifier is not the finished video. Collect every actual output from that task. The separate hunyuan-pro and hunyuan-role entries are text-conversation routes and should not be substituted for this video workflow.</p>",
      "short_text": "A text-to-video route with a minimal model-and-prompt request and asynchronous result collection."
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    {
      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">Hunyuan</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Close\">×</button></div><div class=\"idline\"><span>Hunyuan /</span><code>hunyuan</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|videos|/v1/videos|hunyuan\">Video</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\">A text-to-video route with a minimal model-and-prompt request and asynchronous result collection.</p><dl class=\"card-io\" data-card-io><div><dt>Accepted inputs</dt><dd>Text</dd></div><div><dt>Results</dt><dd>Video</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>hunyuan is the video-generation entry whose accepted /v1/videos request requires model and prompt. A concrete use is creating a concept shot from text, such as a bicycle passing a storefront, for later inclusion in a storyboard. Choose this entry when text-to-video fits the task and the minimal request surface is sufficient.</p><p>The contract does not identify a more specific Hunyuan edition or expose duration, resolution or reference-image controls. Submit the scene once and read the returned original task until completion; the initial job identifier is not the finished video. Collect every actual output from that task. The separate hunyuan-pro and hunyuan-role entries are text-conversation routes and should not be substituted for this video workflow.</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 · Video</b> <code>POST /v1/videos</code></summary><dl class=\"method-capabilities\"><div><dt>Input types</dt><dd><code>text</code></dd></div><div><dt>Output types</dt><dd><code>video</code></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><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>hunyuan</div><div>Conditions: Use this exact Ailoot routing selector.</div></td><td data-cell-label=\"Default\" data-default=\"unspecified\"><span class=\"card-cell-label\">Default</span>—</td></tr><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">prompt</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>Conditions: Describe the scene and its motion.</div></td><td data-cell-label=\"Default\" data-default=\"unspecified\"><span class=\"card-cell-label\">Default</span>—</td></tr></tbody></table></div><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, prompt</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>optional</code></th><td data-cell-label=\"Contract\"><span class=\"card-cell-label\">Contract</span></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><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>conditions</code></th><td data-cell-label=\"Contract\"><span class=\"card-cell-label\">Contract</span>Use this exact Ailoot routing selector., Describe the scene and its motion.</td></tr></tbody></table></div><p>Method aliases: <code>/v1/videos/generations</code></p><p>Lifecycle: <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\">Pricing</h3><div class=\"card-result-process\" data-billing-basis><h5>How the final charge is calculated</h5><p class=\"note-s\">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.</p></div><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>Estimated rates for comparison</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>Forecast quantity</th><th>Billing quantity</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=\"Forecast quantity\"><span class=\"card-cell-label\">Forecast quantity</span>—</td><td data-cell-label=\"Billing quantity\"><span class=\"card-cell-label\">Billing quantity</span>—</td><td data-cell-label=\"Charge\"><span class=\"card-cell-label\">Charge</span><div><span>Input · Input tokens · Estimate for comparison only</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Output · Output tokens · Estimate for comparison only</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Input · Cache read · Estimate for comparison only</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Input · Cache write · Estimate for comparison only</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Input · Cache write, 1 hour · Estimate for comparison only</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>Per request</th><td data-cell-label=\"Rate schedule\"><span class=\"card-cell-label\">Rate schedule</span>—</td><td data-cell-label=\"Forecast quantity\"><span class=\"card-cell-label\">Forecast quantity</span>—</td><td data-cell-label=\"Billing quantity\"><span class=\"card-cell-label\">Billing quantity</span>one request</td><td data-cell-label=\"Charge\"><span class=\"card-cell-label\">Charge</span><div><span>Input · Estimate for comparison only</span> <b>$1.2</b> <span class=\"price-unit\">per request</span></div></td></tr><tr><th data-cell-label=\"Configuration\" scope=\"row\"><span class=\"card-cell-label\">Configuration</span>Estimated generation cost</th><td data-cell-label=\"Rate schedule\"><span class=\"card-cell-label\">Rate schedule</span>—</td><td data-cell-label=\"Forecast quantity\"><span class=\"card-cell-label\">Forecast quantity</span>one generation estimate</td><td data-cell-label=\"Billing quantity\"><span class=\"card-cell-label\">Billing quantity</span>—</td><td data-cell-label=\"Charge\"><span class=\"card-cell-label\">Charge</span><div><span>Output · Estimated generation cost · Estimate for comparison only</span> <b>$1.2</b> <span class=\"price-unit\">estimate before generation</span></div><p class=\"note-s\">This estimate is not an additional charge or a fixed rate for the completed generation.</p></td></tr></tbody></table></div></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 · Video</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-2804-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2804-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · create once and retain receipt</button><button class=\"cg-tab\" id=\"model-code-2804-tab-1\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2804-panel-1\" aria-selected=\"false\" tabindex=\"-1\">Read the original task</button><button class=\"cg-tab\" id=\"model-code-2804-tab-2\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2804-panel-2\" aria-selected=\"false\" tabindex=\"-1\">Save every completed owned asset</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-2804-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2804-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;hunyuan&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 $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Create once; retain id, polling_url, original task identifiers and every header.\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-2804-panel-1\" role=\"tabpanel\" aria-labelledby=\"model-code-2804-tab-1\" hidden><pre data-lang=\"bash\"><code>set -eu\n: &quot;${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-2804-panel-2\" role=\"tabpanel\" aria-labelledby=\"model-code-2804-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\">Receive and save results</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>Keep all completed results</h5><p class=\"note-s\">Save every completed video or returned file; retrieve every actual returned asset URL.</p><p class=\"note-s\">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.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>If the original response needs checking</h5><p class=\"note-s\">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.</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\">id</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span>string</td></tr><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">polling_url</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span>string</td></tr><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">provider_task_id</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span>string</td></tr><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">task_id</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span>string</td></tr><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">status</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span>string</td></tr><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">video_url</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span>string</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=hunyuan&amp;route=Ultra&amp;caller=hunyuan&amp;fmt=videos\"><code>hunyuan</code></a></span></p><h4>Method path aliases</h4><p class=\"note-s\"><code>/v1/videos/generations</code></p><h4>Related caller IDs</h4><p class=\"note-s\"><a href=\"#m=hunyuan&amp;route=Ultra&amp;caller=hunyuan&amp;fmt=videos\"><code>hunyuan</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "hunyuan",
        "fmt": "videos",
        "http": "POST",
        "path": "/v1/videos",
        "request_model_id": "hunyuan",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|videos|/v1/videos|hunyuan",
      "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": "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
            },
            "outputs": {
              "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
            },
            "parameters": [
              {
                "conditions": "Use this exact Ailoot routing selector.",
                "default_known": false,
                "enum": [
                  "hunyuan"
                ],
                "enum_known": true,
                "maximum_length": null,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "conditions": "Describe the scene and its motion.",
                "default_known": false,
                "enum_known": false,
                "maximum_length": null,
                "name": "prompt",
                "required": true,
                "type": "string"
              }
            ],
            "request_schema": {
              "additionalProperties": true,
              "properties": {
                "model": {
                  "enum": [
                    "hunyuan"
                  ],
                  "type": "string"
                },
                "prompt": {
                  "type": "string"
                }
              },
              "required": [
                "model",
                "prompt"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "model": "hunyuan",
                "prompt": "A cat is walking on grass."
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Use this exact Ailoot routing selector.",
              "Describe the scene and its motion."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [],
            "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": "1.2",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "per_request",
                "label": "per request",
                "native_amount_usd_per_unit": "1.2",
                "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": "1.2",
                "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": "1.2",
                "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\": \"hunyuan\",\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"
        ],
        "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": "1.2",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "per_request",
                "label": "per request",
                "native_amount_usd_per_unit": "1.2",
                "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": "1.2",
                "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": "1.2",
                "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": "hunyuan",
        "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": "1.2",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "per_request",
            "label": "per request",
            "native_amount_usd_per_unit": "1.2",
            "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": "1.2",
            "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": "1.2",
            "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": "hunyuan",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "8e1138638df4aba077cdaa18d86a5faf1fe907c07a198869a46d70064eb7fa29",
    "input_html_sha256": "1c2fb80b943c8c381cb3a20b8bfce9653acc1e8a8844958351ab8c9cf480f338",
    "private_audit_sha256": "73dffa526763565a6484689da8f94d60503965be813ba570be020da21675e1fb",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/en/hunyuan/",
    "description": "A text-to-video route with a minimal model-and-prompt request and asynchronous result collection.",
    "locale": "en",
    "md_url": "https://ailoot.ai/models/en/hunyuan/index.md",
    "title": "Hunyuan — Ailoot",
    "url": "https://ailoot.ai/models/en/hunyuan/"
  },
  "rawModel": {
    "about": "Hunyuan is a text-to-video model for creating a moving scene from a written brief. The documented model entry uses a model selection and a text prompt. Begin with the event the viewer needs to see: a cyclist passing a storefront, sunlight moving across a quiet room or a small boat approaching a pier. Give the scene a clear subject and a readable action.\n\nDescribe the subject before its surroundings. Include the physical details that distinguish it, the location and the time or lighting conditions that matter to the image. A red delivery bicycle beside a blue shop door gives the shot more specific visual anchors than a general request for an attractive city scene. Keep details consistent across the brief.\n\nExplain how the event develops. A useful shot description identifies the opening situation, the movement and the intended final view. For a reveal, state what becomes visible; for an interaction, state which subject acts and which object receives the action. This makes the generated sequence easier to judge against the original idea.\n\nDescribe the camera separately from the action. A person walking toward a fixed camera is a different composition from a camera following behind that person. Choose the viewpoint and the movement that serve the scene, then make their relationship explicit in the text. When the camera stays still, say what should move within its frame.\n\nFor a storyboard or concept sequence, write each shot around its own purpose. One shot can establish a location, another introduce a subject and another show a consequence. Keep a shared description of the setting and distinguishing subject features in the relevant briefs. Assemble the finished clips according to the story and inspect their visual continuity in the edit.\n\nFor atmosphere studies, identify the visible sources of mood. Describe soft window light, dense morning fog, reflections on wet pavement or the movement of leaves in a courtyard. Tie the requested feeling to observable features so the result can be assessed through its actual lighting, texture and motion.\n\nReview the full generated clip. Check whether the requested action happens in a useful order, whether important objects remain recognizable and whether the ending supports the intended cut. Look at changing shapes, reflections and interactions through the entire sequence. A strong opening frame is only one part of a usable moving shot.\n\nKeep the prompt, selected model and completed video together. Record the concrete issue when a candidate needs revision, such as the direction of travel or an unclear reveal. Preserve the successful setting and subject details while changing the instruction connected to that issue. This gives the next comparison a clear visual question.",
    "about_sha256": "66a0d73a74cb7d1684c296c35461d316193a153b1ee13fa0d9539524e87b5262",
    "alias_of": null,
    "aliases": [],
    "author": "Hunyuan",
    "capabilities": {
      "context_length": 0,
      "manufacturer_input": [
        "text"
      ],
      "manufacturer_output": [
        "video"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "1.2",
            "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": "1.2",
            "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": "Full configuration pricing in details."
      }
    ],
    "ctx": null,
    "display_name": "Hunyuan",
    "formats": [
      "videos"
    ],
    "id": "hunyuan",
    "input": [
      "text"
    ],
    "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": "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
            },
            "outputs": {
              "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
            },
            "parameters": [
              {
                "conditions": "Use this exact Ailoot routing selector.",
                "default_known": false,
                "enum": [
                  "hunyuan"
                ],
                "enum_known": true,
                "maximum_length": null,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "conditions": "Describe the scene and its motion.",
                "default_known": false,
                "enum_known": false,
                "maximum_length": null,
                "name": "prompt",
                "required": true,
                "type": "string"
              }
            ],
            "request_schema": {
              "additionalProperties": true,
              "properties": {
                "model": {
                  "enum": [
                    "hunyuan"
                  ],
                  "type": "string"
                },
                "prompt": {
                  "type": "string"
                }
              },
              "required": [
                "model",
                "prompt"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "model": "hunyuan",
                "prompt": "A cat is walking on grass."
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Use this exact Ailoot routing selector.",
              "Describe the scene and its motion."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [],
            "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": "1.2",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "per_request",
                "label": "per request",
                "native_amount_usd_per_unit": "1.2",
                "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": "1.2",
                "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": "1.2",
                "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\": \"hunyuan\",\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"
        ],
        "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": "1.2",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "per_request",
                "label": "per request",
                "native_amount_usd_per_unit": "1.2",
                "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": "1.2",
                "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": "1.2",
                "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": "hunyuan",
        "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": "1.2",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "per_request",
            "label": "per request",
            "native_amount_usd_per_unit": "1.2",
            "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": "1.2",
            "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": "1.2",
            "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": "hunyuan",
        "request_model_id": "hunyuan",
        "route_label": "Ultra"
      }
    ],
    "name": "Hunyuan",
    "price": {
      "estimate_only": true,
      "in": null,
      "in_label": null,
      "out": 1.2,
      "out_label": "estimate before generation",
      "scope_label": "Estimated generation cost",
      "sort_in": null,
      "sort_out": 1.2,
      "varies": false
    },
    "short": "Hunyuan generates video from a written scene description. Use a clear subject, visible action and camera viewpoint to develop short visual ideas, storyboard shots and atmospheric sequences from text.",
    "short_sha256": "279836b31a0184470d38bd37aa9ee8c682e96de56bb8123e43cd7be4b6b5a314"
  },
  "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": "A text-to-video route with a minimal model-and-prompt request and asynchronous result collection.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "aed65c00f72e11b6bf49f5626459d8bbc1f39260f6904f401698dcc87eaa95a0",
    "renderer_sha256": "fed50305bd3bcc4980ac14df23640efb8c1bc1e819f9d53643d6f43e8974d3fe"
  },
  "sourceRevision": "40f7b3ca14177bdfce023566a9461ba43d09c7f9824f83c1d3c738d8546054c4"
}
