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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">NV</span><h2 id=\"sheet-title\">NVIDIA: Nemotron 3 Nano Omni 30B A3B Reasoning (free)</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"關閉\">×</button></div><div class=\"idline\"><span>NVIDIA /</span><code>nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free</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|chat|/v1/chat/completions|nvidia%2Fnemotron-3-nano-omni-30b-a3b-reasoning%3Afree\">Chat</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\">Nemotron 3 Nano Omni 30B A3B Reasoning是NVIDIA的推理模型，用於代理應用程式內聚焦上下文的工作。此Ailoot版本接受文字對話並回傳文字，輸入上限為256,000個詞元，輸出最多65,536個詞元。請使用提供的文件、問題與限制，要求聚焦分析或上下文交接。</p><dl class=\"card-io\" data-card-io><div><dt>接受的輸入</dt><dd>文字</dd></div><div><dt>結果</dt><dd>文字</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>Nemotron 3 Nano Omni 30B A3B Reasoning是NVIDIA的總參數30B、啟用參數3B模型，描述用途為企業代理系統中的感知與上下文子代理工作。此版本的Ailoot方法為透過POST /v1/chat/completions進行文字對話。請選擇確切模型ID nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free，並提供含有任務指示與來源文字的非空messages陣列。每則訊息的role為system、developer、user或assistant，content為純文字字串。選用的name為字串；請讓各則訊息僅包含這些欄位。傳送stream:false，或省略stream。</p><p>它可檢視提供的一組資料，並回傳聚焦回答、比較，或供應用程式下一步使用的上下文簡報。交接提示詞可提供原始問題、相關節錄與限制，再要求列出已確立事實、未解問題，以及支持各結論的來源段落。進行比較時，請指明標準，並納入各替代方案的實際規格，讓模型能依相同證據處理。</p><p>此版本接受文字輸入，並產生文字輸出。處理文件時，請將相關UTF-8文字插入訊息content，並保留有助於區分節錄的標題或來源標籤。請提供後續問題所需的對話歷程。所有工具執行或檢索應由外圍應用程式處理，再將完成的文字結果傳入對話。媒體輸入、工具呼叫控制項與明確快取控制項不在此版本的請求規格內。</p><p>模型頁面列出256,000個詞元的上下文視窗，以及最多65,536個詞元的完成內容。Ailoot也要求整個UTF-8 JSON請求主體，包括指示與欄位名稱，必須在256,000位元組以內。若要明確設定輸出上限，請僅設定max_tokens或max_completion_tokens其中一個，值為1至65,536的正整數。若兩者皆未提供，Ailoot會轉送4,096個詞元的輸出上限。請讓完整提供的對話與要求的回答符合對應限制。當回答依賴多個相連節錄時，長輸入很有用；但聚焦選材與具體交付成果，更有助於檢查回應是否遵循證據。可透過提示詞要求具名章節或表格；請將回傳文字視為交付成果，不要假定它是由結構描述強制約束的物件。</p><p>若要完整回應，請傳送stream:false並保留完整JSON。從choices[].message.content讀取生成文字，並保留每個回傳的選項、finish_reason、usage與任何提供的推理欄位。若工作流程需要將結論追溯至輸入，請在最終回答中保留來源標籤。將回答傳至應用程式下一步前，請先檢查要求的回答是否完整。</p><p>此免費版本請使用公開或合成的來源資料；其文件所載使用條款排除機密資訊與個人資料。若回應不完整或傳送結果不確定，請保留原始請求識別碼與回應，以便檢查既有嘗試。文字請求透過對話回應回傳結果；此卡片未記載獨立非同步工作或取消路由。</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 · Chat Completions</b> <code>POST /v1/chat/completions</code></summary><dl class=\"method-capabilities\"><div><dt>輸入</dt><dd><code>text</code></dd></div><div><dt>輸出</dt><dd><code>text</code></dd></div><div><dt>上下文</dt><dd>256,000 tokens</dd></div><div><dt>輸出上限</dt><dd>65,536 tokens</dd></div><div><dt>輸出格式</dt><dd>JSON or supported SSE</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>nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free</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\">messages</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>array</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></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\">stream</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>boolean</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>false</div></td><td data-cell-label=\"預設值\" data-default=\"known\"><span class=\"card-cell-label\">預設值</span>false</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">max_tokens</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>integer</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>最小值: 1</div><div>最大值: 65,536</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\">max_completion_tokens</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>integer</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>最小值: 1</div><div>最大值: 65,536</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\">n</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>integer</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>最小值: 1</div><div>最大值: 128</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\">temperature</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>number</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></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\">top_p</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>number</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></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\">seed</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>integer</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></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\">stop</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code></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></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\">frequency_penalty</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>number</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></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\">presence_penalty</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>number</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></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\">user</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></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, messages</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>stream, max_tokens, max_completion_tokens, n, temperature, top_p, seed, stop, frequency_penalty, presence_penalty, user</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</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>Use literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method., The complete encoded JSON request must not exceed 256000 bytes.</td></tr></tbody></table></div><p>生命週期： <code>synchronous_json_or_sse</code></p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">方案</h3><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>標準費率 <span class=\"note-s\">選取快速模式時</span></dd><dt>flex 模式</dt><dd>標準費率 <span class=\"note-s\">選取 flex 模式時</span></dd><dt>最高推理強度</dt><dd>標準費率 <span class=\"note-s\">最高推理強度採用 default 調整值時</span></dd><dt>顯式快取計價</dt><dd>未啟用 <span class=\"note-s\">請求顯式快取時</span></dd><dt>純文字零費率</dt><dd>快取、工具與媒體各依其另行列出的計價條件計費。 <span class=\"note-s\">適用於純文字輸入與輸出</span></dd></dl></div><div data-declared-tariff-pricing><h4>Ailoot 費率</h4><h4>各設定的價格</h4><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>設定</th><th>費率表</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=\"費用\"><span class=\"card-cell-label\">費用</span><div><span>輸入 · 輸入 Token</span> <b>$0</b> <span class=\"price-unit\">/ 1K Token</span></div><div><span>輸出 · 輸出 Token</span> <b>$0</b> <span class=\"price-unit\">/ 1K Token</span></div><div><span>輸入 · 讀取快取</span> <b>—</b> <span class=\"price-unit\">/ 1K Token</span></div><div><span>輸入 · 寫入快取</span> <b>—</b> <span class=\"price-unit\">/ 1K Token</span></div><div><span>輸入 · 寫入快取，1 小時</span> <b>—</b> <span class=\"price-unit\">/ 1K Token</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot 會在請求前預留估算金額。取得結果後，依實測用量結算最終費用。串流結算採用最終用量紀錄。<a href=\"/docs/zh-hant-tw/billing/reserve/\">預留金額與結算的運作方式 →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">請求範例</h3><h4>Ailoot Ultra · Chat Completions</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"程式碼版本\"><button class=\"cg-tab\" id=\"model-code-33-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-33-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · 僅建立一次並保留完整結果</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"複製程式碼\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-33-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-33-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nexport AILOOT_API_KEY\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np=json.loads(&#39;{&quot;model&quot;: &quot;nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free&quot;, &quot;messages&quot;: [{&quot;role&quot;: &quot;user&quot;, &quot;content&quot;: &quot;Summarize the supplied text in three concise points.&quot;}], &quot;stream&quot;: false}&#39;)\n\nPath(&quot;request.json&quot;).write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">接收並儲存結果</h3><h4>Ailoot Ultra · Chat Completions</h4><p class=\"note-s\">JSON or supported SSE</p><div class=\"card-result-process\" data-all-results><h5>保留所有已完成的結果</h5><p class=\"note-s\">請保留所有完整傳回的回應、檔案與內容區塊。</p><p class=\"note-s\">Retain the complete response, all actual results, original identifiers, usage and response headers.</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\">Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.</p></div></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">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=nvidia%2Fnemotron-3-nano-omni-30b-a3b-reasoning%3Afree&amp;route=Ultra&amp;caller=nvidia%2Fnemotron-3-nano-omni-30b-a3b-reasoning%3Afree&amp;fmt=chat\"><code>nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free</code></a></span></p><h4>方法路徑別名</h4><p class=\"note-s\">請使用上方列出的 API 方法路徑。</p><h4>相關呼叫用 ID</h4><p class=\"note-s\"><a href=\"#m=nvidia%2Fnemotron-3-nano-omni-30b-a3b-reasoning%3Afree&amp;route=Ultra&amp;caller=nvidia%2Fnemotron-3-nano-omni-30b-a3b-reasoning%3Afree&amp;fmt=chat\"><code>nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free",
        "fmt": "chat",
        "http": "POST",
        "path": "/v1/chat/completions",
        "request_model_id": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|chat|/v1/chat/completions|nvidia%2Fnemotron-3-nano-omni-30b-a3b-reasoning%3Afree",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "example_body": {
              "messages": [
                {
                  "content": "Summarize the supplied text in three concise points.",
                  "role": "user"
                }
              ],
              "model": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free",
              "stream": false
            },
            "lifecycle": {
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/chat/completions"
              },
              "mode": "synchronous_json_or_sse",
              "status": [],
              "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
              "family": "text",
              "format": "JSON or supported SSE"
            },
            "parameters": [
              {
                "default_known": false,
                "enum": [
                  "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "items": {
                  "additionalProperties": false,
                  "properties": {
                    "content": {
                      "type": "string"
                    },
                    "role": {
                      "enum": [
                        "user",
                        "assistant",
                        "system",
                        "developer"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "role",
                    "content"
                  ],
                  "type": "object"
                },
                "minItems": 1,
                "name": "messages",
                "required": true,
                "type": "array"
              },
              {
                "default": false,
                "default_known": true,
                "enum": [
                  false
                ],
                "enum_known": true,
                "name": "stream",
                "required": false,
                "type": "boolean"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maximum": 65536,
                "minimum": 1,
                "name": "max_tokens",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maximum": 65536,
                "minimum": 1,
                "name": "max_completion_tokens",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maximum": 128,
                "minimum": 1,
                "name": "n",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "temperature",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "top_p",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "seed",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "stop",
                "oneOf": [
                  {
                    "type": "string"
                  },
                  {
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  }
                ],
                "required": false
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "frequency_penalty",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "presence_penalty",
                "required": false,
                "type": "number"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "user",
                "required": false,
                "type": "string"
              }
            ],
            "request_schema": {
              "additionalProperties": false,
              "properties": {
                "frequency_penalty": {
                  "type": "number"
                },
                "max_completion_tokens": {
                  "maximum": 65536,
                  "minimum": 1,
                  "type": "integer"
                },
                "max_tokens": {
                  "maximum": 65536,
                  "minimum": 1,
                  "type": "integer"
                },
                "messages": {
                  "items": {
                    "additionalProperties": false,
                    "properties": {
                      "content": {
                        "type": "string"
                      },
                      "role": {
                        "enum": [
                          "user",
                          "assistant",
                          "system",
                          "developer"
                        ],
                        "type": "string"
                      }
                    },
                    "required": [
                      "role",
                      "content"
                    ],
                    "type": "object"
                  },
                  "minItems": 1,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free"
                  ],
                  "type": "string"
                },
                "n": {
                  "maximum": 128,
                  "minimum": 1,
                  "type": "integer"
                },
                "presence_penalty": {
                  "type": "number"
                },
                "seed": {
                  "type": "integer"
                },
                "stop": {
                  "oneOf": [
                    {
                      "type": "string"
                    },
                    {
                      "items": {
                        "type": "string"
                      },
                      "type": "array"
                    }
                  ]
                },
                "stream": {
                  "default": false,
                  "enum": [
                    false
                  ],
                  "type": "boolean"
                },
                "temperature": {
                  "type": "number"
                },
                "top_p": {
                  "type": "number"
                },
                "user": {
                  "type": "string"
                }
              },
              "required": [
                "model",
                "messages"
              ],
              "type": "object"
            },
            "schema_template": {
              "body": {
                "messages": [
                  {
                    "content": "Summarize the supplied text in three concise points.",
                    "role": "user"
                  }
                ],
                "model": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free",
                "stream": false
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Use literal text messages only. Cache controls, tools, image/audio/video content and streamed responses are unavailable for this method.",
              "The complete encoded JSON request must not exceed 256000 bytes."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [
              "stream",
              "max_tokens",
              "max_completion_tokens",
              "n",
              "temperature",
              "top_p",
              "seed",
              "stop",
              "frequency_penalty",
              "presence_penalty",
              "user"
            ],
            "required": [
              "model",
              "messages"
            ]
          },
          "lifecycle": {
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/chat/completions"
            },
            "mode": "synchronous_json_or_sse",
            "status": [],
            "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/chat/completions"
          },
          "method_aliases": [],
          "output": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "family": "text",
            "format": "JSON or supported SSE"
          }
        },
        "ctx": 256000,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free\", \"messages\": [{\"role\": \"user\", \"content\": \"Summarize the supplied text in three concise points.\"}], \"stream\": false}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "openai",
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        "flex_multiplier": 1,
        "fmt": "chat",
        "http": "POST",
        "img_in": null,
        "img_out": null,
        "in": "0",
        "input": [
          "text"
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        "label": "Chat Completions",
        "max_out": 65536,
        "max_reasoning_effort_multiplier": 1,
        "method_aliases": [],
        "out": "0",
        "output": [
          "text"
        ],
        "path": "/v1/chat/completions",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Standard rate",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Standard rate",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Standard rate",
            "when": "When maximum reasoning effort uses the default adjustment"
          },
          {
            "label": "Explicit cache pricing",
            "value": "Not enabled",
            "when": "When explicit cache is requested"
          },
          {
            "label": "Text-only zero rates",
            "value": "Cache, tools and media follow their separately listed pricing conditions.",
            "when": "For text-only input and output"
          }
        ],
        "pricing": {
          "allow_explicit_cache": false,
          "billing_mode": "token",
          "cache_read_price": null,
          "cache_write_1h_price": null,
          "cache_write_price": null,
          "fast_multiplier": 1,
          "flex_multiplier": 1,
          "image_input_price": null,
          "image_output_price": null,
          "input_price": 0,
          "intervals": [],
          "max_reasoning_effort_multiplier": 1,
          "output_price": 0,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
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            "label": "Base token rates",
            "units": [
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                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
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                "label": "Input tokens",
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                "native_unit": "input_token",
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                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
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                "billing_input": true,
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                "native_amount_usd_per_unit": "0",
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                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
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                "amount_unit": "usd_per_thousand_tokens",
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                "key": "cache_read_price",
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                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
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                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
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              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
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              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
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                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "request_model_id": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "unit": "token",
        "units": [
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
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            "native_amount_usd_per_unit": "0",
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            "public_unit_label": "/ 1K tokens",
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            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
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            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
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          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
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            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          }
        ]
      }
    }
  ],
  "model_id": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "02edb0b22d51a5caed8e2981bdc863541ae3ea07fb4f59f7296afd6363434bf3",
    "input_html_sha256": "df827af3c2143c48b80b5ff1259fe9aed524e838f7b1c61adb47e655e3f6aabb",
    "private_audit_sha256": "34f13cadb98642c6562b6198b3ea764717291a38c29cb1f136b33739da930a8a",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
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  "page": {
    "canonical": "https://ailoot.ai/models/zh-hant-tw/nvidia-nemotron-3-nano-omni-30b-a3b-reasoning-u003a-free/",
    "description": "Nemotron 3 Nano Omni 30B A3B Reasoning是NVIDIA的推理模型，用於代理應用程式內聚焦上下文的工作。此Ailoot版本接受文字對話並回傳文字，輸入上限為256,000個詞元，輸出最多65,536個詞元。請使用提供的文件、問題與限制，要求聚焦分析或上下文交接。",
    "locale": "zh-hant-tw",
    "md_url": "https://ailoot.ai/models/zh-hant-tw/nvidia-nemotron-3-nano-omni-30b-a3b-reasoning-u003a-free/index.md",
    "title": "NVIDIA: Nemotron 3 Nano Omni 30B A3B Reasoning (free) — Ailoot",
    "url": "https://ailoot.ai/models/zh-hant-tw/nvidia-nemotron-3-nano-omni-30b-a3b-reasoning-u003a-free/"
  },
  "rawModel": {
    "about": "Nemotron 3 Nano Omni 30B A3B Reasoning是NVIDIA的總參數30B、啟用參數3B模型，描述用途為企業代理系統中的感知與上下文子代理工作。此版本的Ailoot方法為透過POST /v1/chat/completions進行文字對話。請選擇確切模型ID nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free，並提供含有任務指示與來源文字的非空messages陣列。每則訊息的role為system、developer、user或assistant，content為純文字字串。選用的name為字串；請讓各則訊息僅包含這些欄位。傳送stream:false，或省略stream。\n\n它可檢視提供的一組資料，並回傳聚焦回答、比較，或供應用程式下一步使用的上下文簡報。交接提示詞可提供原始問題、相關節錄與限制，再要求列出已確立事實、未解問題，以及支持各結論的來源段落。進行比較時，請指明標準，並納入各替代方案的實際規格，讓模型能依相同證據處理。\n\n此版本接受文字輸入，並產生文字輸出。處理文件時，請將相關UTF-8文字插入訊息content，並保留有助於區分節錄的標題或來源標籤。請提供後續問題所需的對話歷程。所有工具執行或檢索應由外圍應用程式處理，再將完成的文字結果傳入對話。媒體輸入、工具呼叫控制項與明確快取控制項不在此版本的請求規格內。\n\n模型頁面列出256,000個詞元的上下文視窗，以及最多65,536個詞元的完成內容。Ailoot也要求整個UTF-8 JSON請求主體，包括指示與欄位名稱，必須在256,000位元組以內。若要明確設定輸出上限，請僅設定max_tokens或max_completion_tokens其中一個，值為1至65,536的正整數。若兩者皆未提供，Ailoot會轉送4,096個詞元的輸出上限。請讓完整提供的對話與要求的回答符合對應限制。當回答依賴多個相連節錄時，長輸入很有用；但聚焦選材與具體交付成果，更有助於檢查回應是否遵循證據。可透過提示詞要求具名章節或表格；請將回傳文字視為交付成果，不要假定它是由結構描述強制約束的物件。\n\n若要完整回應，請傳送stream:false並保留完整JSON。從choices[].message.content讀取生成文字，並保留每個回傳的選項、finish_reason、usage與任何提供的推理欄位。若工作流程需要將結論追溯至輸入，請在最終回答中保留來源標籤。將回答傳至應用程式下一步前，請先檢查要求的回答是否完整。\n\n此免費版本請使用公開或合成的來源資料；其文件所載使用條款排除機密資訊與個人資料。若回應不完整或傳送結果不確定，請保留原始請求識別碼與回應，以便檢查既有嘗試。文字請求透過對話回應回傳結果；此卡片未記載獨立非同步工作或取消路由。",
    "alias_of": null,
    "aliases": [],
    "author": "NVIDIA",
    "ctx": 256000,
    "formats": [
      "chat"
    ],
    "id": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free",
    "input": [
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    "methods": [
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        "cache_read": null,
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        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "example_body": {
              "messages": [
                {
                  "content": "Summarize the supplied text in three concise points.",
                  "role": "user"
                }
              ],
              "model": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free",
              "stream": false
            },
            "lifecycle": {
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/chat/completions"
              },
              "mode": "synchronous_json_or_sse",
              "status": [],
              "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
              "family": "text",
              "format": "JSON or supported SSE"
            },
            "parameters": [
              {
                "default_known": false,
                "enum": [
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                "maximum": 65536,
                "minimum": 1,
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                "type": "integer"
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                "default_known": false,
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                "enum_known": false,
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                "enum_known": false,
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                  "minimum": 1,
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                  "type": "string"
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                    "role": "user"
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                ],
                "model": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free",
                "stream": false
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          "input": {
            "conditions": [
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              "The complete encoded JSON request must not exceed 256000 bytes."
            ],
            "content_type": "application/json",
            "material_types": [
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              "max_tokens",
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              "presence_penalty",
              "user"
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            "required": [
              "model",
              "messages"
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            "create": {
              "http": "POST",
              "path": "/v1/chat/completions"
            },
            "mode": "synchronous_json_or_sse",
            "status": [],
            "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/chat/completions"
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          "method_aliases": [],
          "output": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "family": "text",
            "format": "JSON or supported SSE"
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        },
        "ctx": 256000,
        "declared_pricing_profiles": [
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                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
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                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
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                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free\", \"messages\": [{\"role\": \"user\", \"content\": \"Summarize the supplied text in three concise points.\"}], \"stream\": false}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": 1,
        "flex_multiplier": 1,
        "fmt": "chat",
        "http": "POST",
        "img_in": null,
        "img_out": null,
        "in": "0",
        "input": [
          "text"
        ],
        "label": "Chat Completions",
        "max_out": 65536,
        "max_reasoning_effort_multiplier": 1,
        "method_aliases": [],
        "out": "0",
        "output": [
          "text"
        ],
        "path": "/v1/chat/completions",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Standard rate",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Standard rate",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Standard rate",
            "when": "When maximum reasoning effort uses the default adjustment"
          },
          {
            "label": "Explicit cache pricing",
            "value": "Not enabled",
            "when": "When explicit cache is requested"
          },
          {
            "label": "Text-only zero rates",
            "value": "Cache, tools and media follow their separately listed pricing conditions.",
            "when": "For text-only input and output"
          }
        ],
        "pricing": {
          "allow_explicit_cache": false,
          "billing_mode": "token",
          "cache_read_price": null,
          "cache_write_1h_price": null,
          "cache_write_price": null,
          "fast_multiplier": 1,
          "flex_multiplier": 1,
          "image_input_price": null,
          "image_output_price": null,
          "input_price": 0,
          "intervals": [],
          "max_reasoning_effort_multiplier": 1,
          "output_price": 0,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "request_model_id": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "unit": "token",
        "units": [
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          }
        ]
      }
    ],
    "model_aliases": [
      {
        "canonical_model_id": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free",
        "request_model_id": "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free",
        "route_label": "Ultra"
      }
    ],
    "name": "NVIDIA: Nemotron 3 Nano Omni 30B A3B Reasoning (free)",
    "price": {
      "in": "0",
      "in_label": null,
      "out": "0",
      "out_label": null,
      "sort_in": "0",
      "sort_out": "0",
      "varies": false
    },
    "short": "Nemotron 3 Nano Omni 30B A3B Reasoning是NVIDIA的推理模型，用於代理應用程式內聚焦上下文的工作。此Ailoot版本接受文字對話並回傳文字，輸入上限為256,000個詞元，輸出最多65,536個詞元。請使用提供的文件、問題與限制，要求聚焦分析或上下文交接。"
  },
  "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": "Nemotron 3 Nano Omni 30B A3B Reasoning是NVIDIA的推理模型，用於代理應用程式內聚焦上下文的工作。此Ailoot版本接受文字對話並回傳文字，輸入上限為256,000個詞元，輸出最多65,536個詞元。請使用提供的文件、問題與限制，要求聚焦分析或上下文交接。",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "aa2400c41c157e0ac7104d89f2774a780c439c35ba2cbc275e36ffb5f88da343",
    "renderer_sha256": "13a3fc1b22d07359278e2249d630bfc9bb9e6416c71ba53def933fb5a903660b"
  },
  "sourceRevision": "3abb4ccb6d48a3d1c0ce3ed55937fd5d2f68538cbb5f763a0a79f33607d7f83d"
}