{
  "aboutHtml": "<p>GPT-4o Transcribe Diarize 是 OpenAI 內建說話者分段功能的自動語音辨識模型。它將轉錄的音訊片段對應到對話中的不同說話者。有用的成果是依說話者與時間整理的逐字稿，而不只是連續的一大段文字。它適用於需要說話者標籤的錄製語音，例如會議、訪談或多人討論。</p><h4>準備已完成的錄音</h4><p>提供需要轉錄的錄音。文件記載的檔案流程接受 MP3、MP4、MPEG、MPGA、M4A、WAV 與 WebM，檔案大小上限為 25 MB。保留來源錄音，以便將說話輪次、名稱或不清楚的字句對照實際音訊檢查。</p><p>會議錄音應保留對話順序，不要剪掉有助區分輪次的短暫停頓。訪談任務若需要問答關係，應將問題與回答保留在一起。音訊準備應讓語音清楚可聞，同時不移除對帶說話者標籤成果重要的資訊。</p><p>這是檔案轉錄流程。處理已完成錄音與辨識仍持續傳入的音訊串流是不同任務；模型的說話者標籤不支援 Realtime 轉錄工作階段。</p><h4>要求附說話者標籤的逐字稿</h4><p><code>diarized_json</code> 結果格式回傳附有說話者身分標籤及起訖時間的片段。每個片段也包含其轉錄文字。將這些欄位保留在一起，才能把字句連到錄音中的相關部分。</p><p>有用的會議逐字稿應保留片段順序，並搭配時間顯示每位說話者的字句。後續任務可以用逐字稿準備會議紀錄或待辦事項，但說話者分段本身不會決定會議達成哪些共識，也不會產生經驗證的摘要。</p><p>說話者標籤描述模型對語音的分組。檢查人們互相打斷、短暫發言或重疊發言的轉換處。良好結構有助導覽與檢閱，但特定歸屬仍可能需要聆聽原始音訊。</p><h4>已知說話者參考</h4><p>文件記載的流程最多接受四個具名說話者參考。每個參考是 2–10 秒的短音訊片段，格式需與主要上傳支援的格式一致。名稱與參考一併提供，以便將片段對應到已知說話者。</p><p>準備清楚包含目標說話者的參考，並讓名稱與逐字稿預定標籤一致。訪談中，主持人的參考可以協助整理帶有說話者標籤的成果，不必讓每個參與者都只得到匿名標籤。參考是歸屬判定的輸入，並非一般語音複製操作，也不是個人身分的證明。</p><p>不要混淆為說話者命名與修改實際發言。有用的輸出仍需保留錄音內容及實際輪次順序。</p><h4>分塊與模型限制</h4><p>音訊超過 30 秒時，開發商要求指定分塊策略，可以是自動分塊或語音活動偵測設定。這項要求不是錄音時長上限，而是說明如何分割較長輸入以供處理。</p><p>模型卡列出 16,000 個 token 的上下文視窗與最多 2,000 個輸出 token。這些是模型 token 限制，與檔案流程的 25 MB 上傳上限及分塊門檻分開。不應將其換算成適用於所有錄音的虛構分鐘數。</p><p>組合或檢查較長逐字稿時，保留時間與片段識別。若錄音在提交前已分割，應保留各部分與原始音訊的關係，避免將局部時間戳誤認為完整對話中的位置。</p><h4>串流傳送已定稿片段</h4><p>檔案轉錄流程可在處理錄音時串流傳送文字。帶說話者標籤的串流會在片段完成時產生片段事件。文字增量含有片段識別碼，但不含部分的說話者指派；說話者會在片段定稿時指派。</p><p>呈現時，這項區別很重要。將暫定文字與定稿的說話輪次顯示為不同狀態，不要在模型完成片段前附上不確定的說話者標籤。若後續編輯或分析需要逐字稿，應保留完成結果。</p><h4>模型與輸出範圍</h4><p>這個設定檔是說話者分段模型，與一般 GPT-4o 轉錄、Mini 轉錄、語音合成及即時對話模型分開。它不支援轉錄提示詞；術語檢閱或修正應作為獨立步驟，並對照原始音訊檢查。其開發商介面將錄製音訊轉錄成文字，不會生成音訊回答，也不會透過獨立的音訊翻譯流程翻譯錄音。</p><p>用於同時需要內容與說話者結構的逐字稿。將名稱、專業術語、數字、輪次邊界與歸屬對照錄音檢查。保留音訊、所選結果格式、參考及完成逐字稿，讓修正可以針對一個具體字句或說話者指派。</p>",
  "aboutText": "GPT-4o Transcribe Diarize 是 OpenAI 內建說話者分段功能的自動語音辨識模型。它將轉錄的音訊片段對應到對話中的不同說話者。有用的成果是依說話者與時間整理的逐字稿，而不只是連續的一大段文字。它適用於需要說話者標籤的錄製語音，例如會議、訪談或多人討論。\n\n### 準備已完成的錄音\n\n提供需要轉錄的錄音。文件記載的檔案流程接受 MP3、MP4、MPEG、MPGA、M4A、WAV 與 WebM，檔案大小上限為 25 MB。保留來源錄音，以便將說話輪次、名稱或不清楚的字句對照實際音訊檢查。\n\n會議錄音應保留對話順序，不要剪掉有助區分輪次的短暫停頓。訪談任務若需要問答關係，應將問題與回答保留在一起。音訊準備應讓語音清楚可聞，同時不移除對帶說話者標籤成果重要的資訊。\n\n這是檔案轉錄流程。處理已完成錄音與辨識仍持續傳入的音訊串流是不同任務；模型的說話者標籤不支援 Realtime 轉錄工作階段。\n\n### 要求附說話者標籤的逐字稿\n\n`diarized_json` 結果格式回傳附有說話者身分標籤及起訖時間的片段。每個片段也包含其轉錄文字。將這些欄位保留在一起，才能把字句連到錄音中的相關部分。\n\n有用的會議逐字稿應保留片段順序，並搭配時間顯示每位說話者的字句。後續任務可以用逐字稿準備會議紀錄或待辦事項，但說話者分段本身不會決定會議達成哪些共識，也不會產生經驗證的摘要。\n\n說話者標籤描述模型對語音的分組。檢查人們互相打斷、短暫發言或重疊發言的轉換處。良好結構有助導覽與檢閱，但特定歸屬仍可能需要聆聽原始音訊。\n\n### 已知說話者參考\n\n文件記載的流程最多接受四個具名說話者參考。每個參考是 2–10 秒的短音訊片段，格式需與主要上傳支援的格式一致。名稱與參考一併提供，以便將片段對應到已知說話者。\n\n準備清楚包含目標說話者的參考，並讓名稱與逐字稿預定標籤一致。訪談中，主持人的參考可以協助整理帶有說話者標籤的成果，不必讓每個參與者都只得到匿名標籤。參考是歸屬判定的輸入，並非一般語音複製操作，也不是個人身分的證明。\n\n不要混淆為說話者命名與修改實際發言。有用的輸出仍需保留錄音內容及實際輪次順序。\n\n### 分塊與模型限制\n\n音訊超過 30 秒時，開發商要求指定分塊策略，可以是自動分塊或語音活動偵測設定。這項要求不是錄音時長上限，而是說明如何分割較長輸入以供處理。\n\n模型卡列出 16,000 個 token 的上下文視窗與最多 2,000 個輸出 token。這些是模型 token 限制，與檔案流程的 25 MB 上傳上限及分塊門檻分開。不應將其換算成適用於所有錄音的虛構分鐘數。\n\n組合或檢查較長逐字稿時，保留時間與片段識別。若錄音在提交前已分割，應保留各部分與原始音訊的關係，避免將局部時間戳誤認為完整對話中的位置。\n\n### 串流傳送已定稿片段\n\n檔案轉錄流程可在處理錄音時串流傳送文字。帶說話者標籤的串流會在片段完成時產生片段事件。文字增量含有片段識別碼，但不含部分的說話者指派；說話者會在片段定稿時指派。\n\n呈現時，這項區別很重要。將暫定文字與定稿的說話輪次顯示為不同狀態，不要在模型完成片段前附上不確定的說話者標籤。若後續編輯或分析需要逐字稿，應保留完成結果。\n\n### 模型與輸出範圍\n\n這個設定檔是說話者分段模型，與一般 GPT-4o 轉錄、Mini 轉錄、語音合成及即時對話模型分開。它不支援轉錄提示詞；術語檢閱或修正應作為獨立步驟，並對照原始音訊檢查。其開發商介面將錄製音訊轉錄成文字，不會生成音訊回答，也不會透過獨立的音訊翻譯流程翻譯錄音。\n\n用於同時需要內容與說話者結構的逐字稿。將名稱、專業術語、數字、輪次邊界與歸屬對照錄音檢查。保留音訊、所選結果格式、參考及完成逐字稿，讓修正可以針對一個具體字句或說話者指派。",
  "editorialOverlay": {
    "copy_fields": null,
    "copy_sha256": null,
    "copy_source": null,
    "html_sha256": "47292a515c780fb06c267a64bc93690d5f34fab2892a97b39f027b0eea1fafd4",
    "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06",
    "raw_model_unchanged": true,
    "schema": "ailoot-native-model-editorial-v1"
  },
  "locale": "zh-hant-tw",
  "methods": [
    {
      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">O</span><h2 id=\"sheet-title\">gpt-4o-transcribe-diarize</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"關閉\">×</button></div><div class=\"idline\"><span>OpenAI /</span><code>openai/gpt-4o-transcribe-diarize</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|transcriptions|/v1/audio/transcriptions|openai%2Fgpt-4o-transcribe-diarize\">辨識</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\">GPT-4o Transcribe Diarize 將錄製的語音轉成附有說話者標籤與時間的文字片段。適合會議、訪談及多人錄音，需要在逐字稿中顯示誰在何時發言的情境，也可選擇提供已知說話者的短語音參考。</p><dl class=\"card-io\" data-card-io><div><dt>接受的輸入</dt><dd>音訊</dd></div><div><dt>結果</dt><dd>transcription</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>GPT-4o Transcribe Diarize 是 OpenAI 內建說話者分段功能的自動語音辨識模型。它將轉錄的音訊片段對應到對話中的不同說話者。有用的成果是依說話者與時間整理的逐字稿，而不只是連續的一大段文字。它適用於需要說話者標籤的錄製語音，例如會議、訪談或多人討論。</p><h4>準備已完成的錄音</h4><p>提供需要轉錄的錄音。文件記載的檔案流程接受 MP3、MP4、MPEG、MPGA、M4A、WAV 與 WebM，檔案大小上限為 25 MB。保留來源錄音，以便將說話輪次、名稱或不清楚的字句對照實際音訊檢查。</p><p>會議錄音應保留對話順序，不要剪掉有助區分輪次的短暫停頓。訪談任務若需要問答關係，應將問題與回答保留在一起。音訊準備應讓語音清楚可聞，同時不移除對帶說話者標籤成果重要的資訊。</p><p>這是檔案轉錄流程。處理已完成錄音與辨識仍持續傳入的音訊串流是不同任務；模型的說話者標籤不支援 Realtime 轉錄工作階段。</p><h4>要求附說話者標籤的逐字稿</h4><p><code>diarized_json</code> 結果格式回傳附有說話者身分標籤及起訖時間的片段。每個片段也包含其轉錄文字。將這些欄位保留在一起，才能把字句連到錄音中的相關部分。</p><p>有用的會議逐字稿應保留片段順序，並搭配時間顯示每位說話者的字句。後續任務可以用逐字稿準備會議紀錄或待辦事項，但說話者分段本身不會決定會議達成哪些共識，也不會產生經驗證的摘要。</p><p>說話者標籤描述模型對語音的分組。檢查人們互相打斷、短暫發言或重疊發言的轉換處。良好結構有助導覽與檢閱，但特定歸屬仍可能需要聆聽原始音訊。</p><h4>已知說話者參考</h4><p>文件記載的流程最多接受四個具名說話者參考。每個參考是 2–10 秒的短音訊片段，格式需與主要上傳支援的格式一致。名稱與參考一併提供，以便將片段對應到已知說話者。</p><p>準備清楚包含目標說話者的參考，並讓名稱與逐字稿預定標籤一致。訪談中，主持人的參考可以協助整理帶有說話者標籤的成果，不必讓每個參與者都只得到匿名標籤。參考是歸屬判定的輸入，並非一般語音複製操作，也不是個人身分的證明。</p><p>不要混淆為說話者命名與修改實際發言。有用的輸出仍需保留錄音內容及實際輪次順序。</p><h4>分塊與模型限制</h4><p>音訊超過 30 秒時，開發商要求指定分塊策略，可以是自動分塊或語音活動偵測設定。這項要求不是錄音時長上限，而是說明如何分割較長輸入以供處理。</p><p>模型卡列出 16,000 個 token 的上下文視窗與最多 2,000 個輸出 token。這些是模型 token 限制，與檔案流程的 25 MB 上傳上限及分塊門檻分開。不應將其換算成適用於所有錄音的虛構分鐘數。</p><p>組合或檢查較長逐字稿時，保留時間與片段識別。若錄音在提交前已分割，應保留各部分與原始音訊的關係，避免將局部時間戳誤認為完整對話中的位置。</p><h4>串流傳送已定稿片段</h4><p>檔案轉錄流程可在處理錄音時串流傳送文字。帶說話者標籤的串流會在片段完成時產生片段事件。文字增量含有片段識別碼，但不含部分的說話者指派；說話者會在片段定稿時指派。</p><p>呈現時，這項區別很重要。將暫定文字與定稿的說話輪次顯示為不同狀態，不要在模型完成片段前附上不確定的說話者標籤。若後續編輯或分析需要逐字稿，應保留完成結果。</p><h4>模型與輸出範圍</h4><p>這個設定檔是說話者分段模型，與一般 GPT-4o 轉錄、Mini 轉錄、語音合成及即時對話模型分開。它不支援轉錄提示詞；術語檢閱或修正應作為獨立步驟，並對照原始音訊檢查。其開發商介面將錄製音訊轉錄成文字，不會生成音訊回答，也不會透過獨立的音訊翻譯流程翻譯錄音。</p><p>用於同時需要內容與說話者結構的逐字稿。將名稱、專業術語、數字、輪次邊界與歸屬對照錄音檢查。保留音訊、所選結果格式、參考及完成逐字稿，讓修正可以針對一個具體字句或說話者指派。</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 · 語音辨識</b> <code>POST /v1/audio/transcriptions</code></summary><dl class=\"method-capabilities\"><div><dt>輸入</dt><dd><code>audio</code></dd></div><div><dt>輸出</dt><dd><code>transcription</code></dd></div><div><dt>輸出格式</dt><dd>json</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 data-parameter-availability=\"source_interface\"><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>openai/gpt-4o-transcribe-diarize</div></td><td data-cell-label=\"預設值\" data-default=\"unspecified\"><span class=\"card-cell-label\">預設值</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">file</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>file</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>位元組數上限: 26,214,400</div><div>MIME 類型: audio/mpeg</div><div>副檔名: .mp3</div><div>時長上限（秒）: 30</div></td><td data-cell-label=\"預設值\" data-default=\"unspecified\"><span class=\"card-cell-label\">預設值</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">response_format</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>diarized_json</div></td><td data-cell-label=\"預設值\" data-default=\"unspecified\"><span class=\"card-cell-label\">預設值</span>—</td></tr></tbody></table></div><details class=\"card-about\" data-material-combinations><summary>輸入素材組合</summary><p class=\"note-s\"><b>diarized_transcription</b></p></details><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>multipart/form-data</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, file, response_format</td></tr><tr><th data-cell-label=\"參數\" scope=\"row\"><span class=\"card-cell-label\">參數</span><code>file_formats</code></th><td data-cell-label=\"規格\"><span class=\"card-cell-label\">規格</span>mp3</td></tr><tr><th data-cell-label=\"參數\" scope=\"row\"><span class=\"card-cell-label\">參數</span><code>max_audio_seconds</code></th><td data-cell-label=\"規格\"><span class=\"card-cell-label\">規格</span>30</td></tr><tr><th data-cell-label=\"參數\" scope=\"row\"><span class=\"card-cell-label\">參數</span><code>max_bytes</code></th><td data-cell-label=\"規格\"><span class=\"card-cell-label\">規格</span>26214400</td></tr><tr><th data-cell-label=\"參數\" scope=\"row\"><span class=\"card-cell-label\">參數</span><code>response_format</code></th><td data-cell-label=\"規格\"><span class=\"card-cell-label\">規格</span>diarized_json</td></tr><tr><th data-cell-label=\"參數\" scope=\"row\"><span class=\"card-cell-label\">參數</span><code>other_options</code></th><td data-cell-label=\"規格\"><span class=\"card-cell-label\">規格</span>false</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>audio</td></tr><tr><th data-cell-label=\"參數\" scope=\"row\"><span class=\"card-cell-label\">參數</span><code>additional_properties</code></th><td data-cell-label=\"規格\"><span class=\"card-cell-label\">規格</span>false</td></tr><tr><th data-cell-label=\"參數\" scope=\"row\"><span class=\"card-cell-label\">參數</span><code>form_string_maximum_bytes</code></th><td data-cell-label=\"規格\"><span class=\"card-cell-label\">規格</span>256</td></tr></tbody></table></div><p>方法別名： <code>/audio/transcriptions</code></p><p>生命週期： <code>synchronous_result_then_owned_library</code></p><p class=\"note-s\"><code>GET /v1/media/tasks/{task_id}</code> · 實際回傳的 task_id 或媒體庫紀錄</p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}/content</code></p><p class=\"note-s\"><code>GET /v1/media/assets</code></p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}</code></p><p class=\"note-s\">請使用實際錄音與相符的格式。</p><p class=\"note-s\">請保留完整轉錄文字、片段、說話者 ID 與時間資訊。</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>未指定 <span class=\"note-s\">選取快速模式時</span></dd><dt>flex 模式</dt><dd>未指定 <span class=\"note-s\">選取 flex 模式時</span></dd><dt>最高推理強度</dt><dd>未指定 <span class=\"note-s\">最高推理強度採用 default 調整值時</span></dd></dl></div><div data-declared-tariff-pricing><h4>Ailoot 費率</h4><h4>各設定的價格</h4><p class=\"note-s\">請逐一核對各項費用與所列條件。每組互為替代選項的設定只套用一種費率。</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>設定</th><th>費率表</th><th>計費單位</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=\"計費單位\"><span class=\"card-cell-label\">計費單位</span>—</td><td data-cell-label=\"費用\"><span class=\"card-cell-label\">費用</span><div><span>輸入 · 輸入 Token</span> <b>—</b> <span class=\"price-unit\">/ 1K Token</span></div><div><span>輸出 · 輸出 Token</span> <b>—</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><tr><th data-cell-label=\"設定\" scope=\"row\"><span class=\"card-cell-label\">設定</span>Ultra</th><td data-cell-label=\"費率表\"><span class=\"card-cell-label\">費率表</span>—</td><td data-cell-label=\"計費單位\"><span class=\"card-cell-label\">計費單位</span>/ 1K 音訊 Token</td><td data-cell-label=\"費用\"><span class=\"card-cell-label\">費用</span><div><span>輸入 · 輸入音訊詞元</span> <b>$0.012</b> <span class=\"price-unit\">/ 1K 音訊 Token</span></div></td></tr><tr><th data-cell-label=\"設定\" scope=\"row\"><span class=\"card-cell-label\">設定</span>Ultra</th><td data-cell-label=\"費率表\"><span class=\"card-cell-label\">費率表</span>—</td><td data-cell-label=\"計費單位\"><span class=\"card-cell-label\">計費單位</span>/ 1K 音訊 Token</td><td data-cell-label=\"費用\"><span class=\"card-cell-label\">費用</span><div><span>輸出 · 輸出音訊詞元</span> <b>$0.02</b> <span class=\"price-unit\">/ 1K 音訊 Token</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot 會在請求前預留估算金額。取得結果後，依實測用量結算最終費用。串流結算採用最終用量紀錄。<a href=\"/docs/zh-hant-tw/billing/reserve/\">預留金額與結算的運作方式 →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">請求範例</h3><h4>Ailoot Ultra · 語音辨識</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"程式碼版本\"><button class=\"cg-tab\" id=\"model-code-2050-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2050-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · 原樣保留的建立請求</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"複製程式碼\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-2050-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2050-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_AUDIO_FILE:?Set the path to your actual MP3 recording}&quot;\nexport AILOOT_AUDIO_FILE\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport os\nfrom pathlib import Path\np=Path(os.environ[&quot;AILOOT_AUDIO_FILE&quot;])\nif not p.is_file() or p.suffix.lower()!=&quot;.mp3&quot;:raise SystemExit(&quot;Choose an existing MP3 recording&quot;)\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/transcriptions \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; \\\n  --form-string model=openai/gpt-4o-transcribe-diarize -F &quot;file=@$AILOOT_AUDIO_FILE&quot; --form-string response_format=diarized_json \\\n  -D response-headers.txt -o result.json\npython3 - &lt;&lt;&#39;PY_RESULT&#39;\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(&quot;result.json&quot;).read_text())))\nPY_RESULT\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 · 語音辨識</h4><p class=\"note-s\">json</p><ul class=\"card-result-paths\"><li><code>GET /v1/media/tasks/{task_id}</code></li><li><code>GET /v1/media/assets/{asset_id}/content</code></li><li><code>GET /v1/media/assets</code></li><li><code>GET /v1/media/assets/{asset_id}</code></li></ul><details class=\"card-about\"><summary>其他內容讀取方式</summary><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-2051-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2051-panel-0\" aria-selected=\"true\" tabindex=\"0\">儲存每份傳回且屬於自己的逐字稿</button><button class=\"cg-tab\" id=\"model-code-2051-tab-1\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2051-panel-1\" aria-selected=\"false\" tabindex=\"-1\">媒體庫</button><button class=\"cg-tab\" id=\"model-code-2051-tab-2\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2051-panel-2\" aria-selected=\"false\" tabindex=\"-1\">工作狀態</button><button class=\"cg-tab\" id=\"model-code-2051-tab-3\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2051-panel-3\" aria-selected=\"false\" tabindex=\"-1\">素材詳細資訊</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-2051-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2051-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nexport AILOOT_API_KEY\npython3 - &lt;&lt;&#39;PY_ASSETS&#39;\nimport json,os,subprocess\nfrom pathlib import Path\nfrom urllib.parse import urljoin,urlsplit\nr=json.loads(Path(&#39;result.json&#39;).read_text())\nurls=[]\nif isinstance(r.get(&#39;asset_url&#39;),str) and r[&#39;asset_url&#39;]:urls.append((&#39;transcript&#39;,r[&#39;asset_url&#39;]))\nfor label,path in urls:\n    u=urljoin(&#39;https://api.ailoot.ai&#39;,path);z=urlsplit(u)\n    if z.scheme!=&#39;https&#39; or z.netloc!=&#39;api.ailoot.ai&#39; or z.username or z.password:raise SystemExit(&#39;Use the actual returned Ailoot owned content URL&#39;)\n    target=Path(&#39;owned-&#39;+label+&#39;.bin&#39;)\n    subprocess.run([&#39;curl&#39;,&#39;--fail-with-body&#39;,&#39;--silent&#39;,&#39;--show-error&#39;,u,&#39;-H&#39;,&#39;Authorization: Bearer &#39;+os.environ[&#39;AILOOT_API_KEY&#39;],&#39;-D&#39;,str(target)+&#39;.headers&#39;,&#39;-o&#39;,str(target)],check=True)\nprint(&#39;All returned owned URLs saved; complete metadata, timing and usage remain in the JSON.&#39;)\nPY_ASSETS\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-2051-panel-1\" role=\"tabpanel\" aria-labelledby=\"model-code-2051-tab-1\" hidden><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -o media-assets.json\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-2051-panel-2\" role=\"tabpanel\" aria-labelledby=\"model-code-2051-tab-2\" hidden><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_MEDIA_TASK_ID:?Set the actual ID returned by the response or media-library metadata}&quot;\nexport AILOOT_MEDIA_TASK_ID\nresource_id=$(python3 -c &#39;import os,urllib.parse;print(urllib.parse.quote(os.environ[&quot;AILOOT_MEDIA_TASK_ID&quot;],safe=&quot;&quot;))&#39;)\ncurl --fail-with-body --silent --show-error &quot;https://api.ailoot.ai/v1/media/tasks/$resource_id&quot; \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -o media-task.json\npython3 - &lt;&lt;&#39;PY_RESULT&#39;\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(&quot;media-task.json&quot;).read_text())))\nPY_RESULT\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-2051-panel-3\" role=\"tabpanel\" aria-labelledby=\"model-code-2051-tab-3\" hidden><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_ASSET_ID:?Set the actual ID returned by the response or media-library metadata}&quot;\nexport AILOOT_ASSET_ID\nresource_id=$(python3 -c &#39;import os,urllib.parse;print(urllib.parse.quote(os.environ[&quot;AILOOT_ASSET_ID&quot;],safe=&quot;&quot;))&#39;)\ncurl --fail-with-body --silent --show-error &quot;https://api.ailoot.ai/v1/media/assets/$resource_id&quot; \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -o media-asset.json\npython3 - &lt;&lt;&#39;PY_RESULT&#39;\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(&quot;media-asset.json&quot;).read_text())))\nPY_RESULT\n</code></pre></div></div></div></details><div class=\"card-result-process\" data-all-results><h5>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\">請保留完整 JSON，而非僅保留文字；所有可用的片段／說話者／時間戳記與實際工作／資產身分均須保留。</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\">保留原始 operation_id/X-Client-Request-ID 以供核對，請勿重新提交；沒有專用的音訊輪詢路由。</p></div><details class=\"card-about\" data-output-fields><summary>回應欄位</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>欄位</th><th>類型</th></tr></thead><tbody><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">text</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span>string</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">segments[]</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span>object</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">task_id</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span>string</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">asset_url</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span>string</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">usage</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span>object</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">segments[].speaker</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span>string</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">segments[].start</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span>number</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">segments[].end</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span>number</td></tr></tbody></table></div></details><details class=\"card-about\" data-method-errors><summary>錯誤與後續步驟</summary><div class=\"tw\" data-card-table=\"errors\"><table><thead><tr><th>回應</th><th>條件</th><th>下一步</th></tr></thead><tbody><tr><th data-cell-label=\"回應\" scope=\"row\"><span class=\"card-cell-label\">回應</span>400 · <code>invalid_request_error</code></th><td data-cell-label=\"條件\"><span class=\"card-cell-label\">條件</span>必要欄位、素材表示方式或參數值無效</td><td data-cell-label=\"下一步\"><span class=\"card-cell-label\">下一步</span>提出新的建立請求前，先修正指定欄位。</td></tr><tr><th data-cell-label=\"回應\" scope=\"row\"><span class=\"card-cell-label\">回應</span><code>server_error</code></th><td data-cell-label=\"條件\"><span class=\"card-cell-label\">條件</span>回傳的回應表示該作業或結果需要檢查</td><td data-cell-label=\"下一步\"><span class=\"card-cell-label\">下一步</span>保留原始回傳的作業／任務 ID、請求標頭與回應；繼續以支援的方式讀取該原始作業。請勿重新提交建立請求。</td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">別名</h3><h4>模型別名</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=openai%2Fgpt-4o-transcribe-diarize&amp;route=Ultra&amp;caller=openai%2Fgpt-4o-transcribe-diarize&amp;fmt=transcriptions\"><code>openai/gpt-4o-transcribe-diarize</code></a></span></p><h4>方法路徑別名</h4><p class=\"note-s\"><code>/audio/transcriptions</code></p><h4>相關呼叫用 ID</h4><p class=\"note-s\"><a href=\"#m=openai%2Fgpt-4o-transcribe-diarize&amp;route=Ultra&amp;caller=openai%2Fgpt-4o-transcribe-diarize&amp;fmt=transcriptions\"><code>openai/gpt-4o-transcribe-diarize</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "openai/gpt-4o-transcribe-diarize",
        "fmt": "transcriptions",
        "http": "POST",
        "path": "/v1/audio/transcriptions",
        "request_model_id": "openai/gpt-4o-transcribe-diarize",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|transcriptions|/v1/audio/transcriptions|openai%2Fgpt-4o-transcribe-diarize",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain complete JSON, not only text; preserve every available segment/speaker/timestamp and actual task/asset identity.",
            "errors": [
              {
                "code": null,
                "condition": "必要欄位、素材表示方式或參數值無效",
                "http_status": 400,
                "recovery": "提出新的建立請求前，先修正指定欄位。",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "回傳的回應表示該作業或結果需要檢查",
                "http_status": null,
                "recovery": "保留原始回傳的作業／任務 ID、請求標頭與回應；繼續以支援的方式讀取該原始作業。請勿重新提交建立請求。",
                "type": "server_error"
              }
            ],
            "hints": [],
            "ignored_fields": [],
            "lifecycle": {
              "all_results": "Follow everyactualreturnedoutputandownedasset; no result is discardedbecauseindex0orcontent_urlalreadyexists.",
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed URL; never construct token"
                }
              ],
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "status": [
                {
                  "http": "GET",
                  "id_source": "actual returned task_id or media library record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "保留原始 operation_id/X-Client-Request-ID 以供核對，請勿重新提交；沒有專用的音訊輪詢路由。"
            },
            "limits": {
              "decoded_audio_max_bytes": 26214400
            },
            "material_combinations": [
              {
                "content_type": "multipart/form-data",
                "file_formats": [
                  "mp3"
                ],
                "maximum_seconds": 30,
                "mode": "diarized_transcription"
              }
            ],
            "media_library": {
              "asset": {
                "fields": [
                  {
                    "description": null,
                    "name": "asset_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "task_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "output_key",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "family",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "model",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "method",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "status",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "content_type",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "sha256",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "size_bytes",
                    "type": "integer"
                  },
                  {
                    "description": null,
                    "name": "content_url",
                    "type": "string"
                  }
                ],
                "http": "GET",
                "id_source": "actual returned asset_id",
                "path": "/v1/media/assets/{asset_id}"
              },
              "content": {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "range_header_supported": true,
                "url_source": "Use exact returned signed content_url including its token; do not construct a token."
              },
              "expired_link": {
                "code": "link_expired",
                "http_status": 404,
                "recovery": "Read the asset again to obtain its refreshed signed content_url, then fetch that URL. Do not regenerate."
              },
              "list": {
                "all_pages": "Follow every returned next_cursor, then select records by their actual task_id/output_key.",
                "http": "GET",
                "output_fields": [
                  {
                    "description": null,
                    "name": "object",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "data",
                    "type": "asset[]"
                  },
                  {
                    "description": null,
                    "name": "next_cursor",
                    "type": "string|null"
                  }
                ],
                "parameters": [
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "family",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "cursor",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": 20,
                    "default_known": true,
                    "enum": null,
                    "enum_known": false,
                    "maximum": 100,
                    "minimum": 1,
                    "name": "limit",
                    "required": false,
                    "type": "integer"
                  }
                ],
                "path": "/v1/media/assets"
              },
              "revoke": {
                "http": "DELETE",
                "meaning": "Revokes/deletes the existing owned file; this is not generation cancellation.",
                "path": "/v1/media/assets/{asset_id}",
                "pending_status": "revoking",
                "success_statuses": [
                  202,
                  204
                ]
              },
              "task": {
                "http": "GET",
                "id_source": "actual returned task_id or media library record; operation_id is not task_id",
                "path": "/v1/media/tasks/{task_id}"
              }
            },
            "operation_modes": [
              "diarized_transcription"
            ],
            "outputs": {
              "all_results": "請保留完整 JSON，而非僅保留文字；所有可用的片段／說話者／時間戳記與實際工作／資產身分均須保留。",
              "family": "transcription",
              "fields": [
                {
                  "description": null,
                  "name": "text",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "segments[]",
                  "type": "object"
                },
                {
                  "description": null,
                  "name": "task_id",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "asset_url",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": "object"
                },
                {
                  "description": null,
                  "name": "segments[].speaker",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "segments[].start",
                  "type": "number"
                },
                {
                  "description": null,
                  "name": "segments[].end",
                  "type": "number"
                }
              ],
              "format": "json"
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "openai/gpt-4o-transcribe-diarize"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "file_extension": ".mp3",
                "maximum_bytes": 26214400,
                "maximum_seconds": 30,
                "mime_types": [
                  "audio/mpeg"
                ],
                "name": "file",
                "required": true,
                "type": "file"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "diarized_json"
                ],
                "enum_known": true,
                "name": "response_format",
                "required": true,
                "type": "string"
              }
            ],
            "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.",
            "unsupported": [
              "JSONinput_audio",
              "nonMP3",
              "audioover30seconds",
              "otheroptions"
            ]
          },
          "hints": [
            "請使用實際錄音與相符的格式。",
            "請保留完整轉錄文字、片段、說話者 ID 與時間資訊。"
          ],
          "input": {
            "additional_properties": false,
            "content_type": "multipart/form-data",
            "file_formats": [
              "mp3"
            ],
            "form_string_maximum_bytes": 256,
            "material_types": [
              "audio"
            ],
            "max_audio_seconds": 30,
            "max_bytes": 26214400,
            "other_options": false,
            "required": [
              "model",
              "file",
              "response_format"
            ],
            "response_format": [
              "diarized_json"
            ]
          },
          "lifecycle": {
            "all_results": "Follow everyactualreturnedoutputandownedasset; no result is discardedbecauseindex0orcontent_urlalreadyexists.",
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "實際回傳的 task_id 或媒體庫紀錄",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Retain original operation_id/X-Client-Request-ID for reconciliation without resubmission; no dedicated audio poll route."
          },
          "method": {
            "http": "POST",
            "path": "/v1/audio/transcriptions"
          },
          "method_aliases": [
            "/audio/transcriptions"
          ],
          "operation_modes": [
            "diarized_transcription"
          ],
          "output": {
            "all_results": "Retain complete JSON, not only text; preserve every available segment/speaker/timestamp and actual task/asset identity.",
            "family": "transcription",
            "fields": [
              {
                "description": null,
                "name": "text",
                "type": "string"
              },
              {
                "description": null,
                "name": "segments[]",
                "type": "object"
              },
              {
                "description": null,
                "name": "task_id",
                "type": "string"
              },
              {
                "description": null,
                "name": "asset_url",
                "type": "string"
              },
              {
                "description": null,
                "name": "usage",
                "type": "object"
              },
              {
                "description": null,
                "name": "segments[].speaker",
                "type": "string"
              },
              {
                "description": null,
                "name": "segments[].start",
                "type": "number"
              },
              {
                "description": null,
                "name": "segments[].end",
                "type": "number"
              }
            ],
            "format": "json",
            "owned_result_extra_fields": [
              "task_id",
              "asset_url"
            ],
            "preserve_original_json_fields": [
              "text",
              "task",
              "duration",
              "segments",
              "usage"
            ],
            "segment_fields": [
              "type",
              "text",
              "speaker",
              "start",
              "end",
              "id"
            ]
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "/ 1K audio tokens"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.012000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_input_token",
                "label": "audio input token",
                "native_amount_usd_per_unit": "0.000012",
                "native_quantity": 1,
                "native_unit": "audio_input_token",
                "public_unit_label": "/ 1K audio tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "/ 1K audio tokens"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.02000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_output_token",
                "label": "audio output token",
                "native_amount_usd_per_unit": "0.00002",
                "native_quantity": 1,
                "native_unit": "audio_output_token",
                "public_unit_label": "/ 1K audio tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "audio_output_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_AUDIO_FILE:?Set the path to your actual MP3 recording}\"\nexport AILOOT_AUDIO_FILE\npython3 - <<'PY_REQUEST'\nimport os\nfrom pathlib import Path\np=Path(os.environ[\"AILOOT_AUDIO_FILE\"])\nif not p.is_file() or p.suffix.lower()!=\".mp3\":raise SystemExit(\"Choose an existing MP3 recording\")\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/transcriptions \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" \\\n  --form-string model=openai/gpt-4o-transcribe-diarize -F \"file=@$AILOOT_AUDIO_FILE\" --form-string response_format=diarized_json \\\n  -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"result.json\").read_text())))\nPY_RESULT\n",
            "label": "curl · exact retained creation",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_ASSETS'\nimport json,os,subprocess\nfrom pathlib import Path\nfrom urllib.parse import urljoin,urlsplit\nr=json.loads(Path('result.json').read_text())\nurls=[]\nif isinstance(r.get('asset_url'),str) and r['asset_url']:urls.append(('transcript',r['asset_url']))\nfor label,path in urls:\n    u=urljoin('https://api.ailoot.ai',path);z=urlsplit(u)\n    if z.scheme!='https' or z.netloc!='api.ailoot.ai' or z.username or z.password:raise SystemExit('Use the actual returned Ailoot owned content URL')\n    target=Path('owned-'+label+'.bin')\n    subprocess.run(['curl','--fail-with-body','--silent','--show-error',u,'-H','Authorization: Bearer '+os.environ['AILOOT_API_KEY'],'-D',str(target)+'.headers','-o',str(target)],check=True)\nprint('All returned owned URLs saved; complete metadata, timing and usage remain in the JSON.')\nPY_ASSETS\n",
            "label": "Save every returned owned transcript",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-assets.json\n",
            "label": "List actual media assets",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_MEDIA_TASK_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_MEDIA_TASK_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_MEDIA_TASK_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/tasks/$resource_id\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-task.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-task.json\").read_text())))\nPY_RESULT\n",
            "label": "Read actual media task",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_ASSET_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_ASSET_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_ASSET_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/assets/$resource_id\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-asset.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-asset.json\").read_text())))\nPY_RESULT\n",
            "label": "Read actual asset metadata",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "transcriptions",
        "hints": [
          "Use actual recording and matching format.",
          "Preserve full transcript, segments, speaker IDs and timing."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "audio"
        ],
        "label": "Распознавание речи",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [
          "/audio/transcriptions"
        ],
        "out": null,
        "output": [
          "transcription"
        ],
        "path": "/v1/audio/transcriptions",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "per_request",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null,
          "unit_prices": {
            "audio_input_token": 1.2e-05,
            "audio_output_token": 2e-05
          }
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "/ 1K audio tokens"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.012000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_input_token",
                "label": "audio input token",
                "native_amount_usd_per_unit": "0.000012",
                "native_quantity": 1,
                "native_unit": "audio_input_token",
                "public_unit_label": "/ 1K audio tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "/ 1K audio tokens"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.02000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_output_token",
                "label": "audio output token",
                "native_amount_usd_per_unit": "0.00002",
                "native_quantity": 1,
                "native_unit": "audio_output_token",
                "public_unit_label": "/ 1K audio tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "audio_output_token"
              }
            ]
          }
        ],
        "request_model_id": "openai/gpt-4o-transcribe-diarize",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/media/tasks/{task_id}",
          "GET /v1/media/assets/{asset_id}/content"
        ],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.012000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "audio_input_token",
            "label": "audio input token",
            "native_amount_usd_per_unit": "0.000012",
            "native_quantity": 1,
            "native_unit": "audio_input_token",
            "public_unit_label": "/ 1K audio tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "audio_input_token"
          },
          {
            "amount": "0.02000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "audio_output_token",
            "label": "audio output token",
            "native_amount_usd_per_unit": "0.00002",
            "native_quantity": 1,
            "native_unit": "audio_output_token",
            "public_unit_label": "/ 1K audio tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "audio_output_token"
          }
        ]
      }
    }
  ],
  "model_id": "openai/gpt-4o-transcribe-diarize",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "83cf185413e2e29af093b1de9d2a1820c60eda513cd6f69bc7f9644291078eed",
    "input_html_sha256": "1ea5c59c0a61c947e26fe12b8825a82899716bbe206d13148e3ea9a5ae60287a",
    "private_audit_sha256": "3024478fb5e395b8e9a781d96e6eb3cb00359a139c7498fc85693d406e52d091",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/zh-hant-tw/openai-gpt-4o-transcribe-diarize/",
    "description": "GPT-4o Transcribe Diarize 將錄製的語音轉成附有說話者標籤與時間的文字片段。適合會議、訪談及多人錄音，需要在逐字稿中顯示誰在何時發言的情境，也可選擇提供已知說話者的短語音參考。",
    "locale": "zh-hant-tw",
    "md_url": "https://ailoot.ai/models/zh-hant-tw/openai-gpt-4o-transcribe-diarize/index.md",
    "title": "gpt-4o-transcribe-diarize — Ailoot",
    "url": "https://ailoot.ai/models/zh-hant-tw/openai-gpt-4o-transcribe-diarize/"
  },
  "rawModel": {
    "about": "GPT-4o Transcribe Diarize 是 OpenAI 內建說話者分段功能的自動語音辨識模型。它將轉錄的音訊片段對應到對話中的不同說話者。有用的成果是依說話者與時間整理的逐字稿，而不只是連續的一大段文字。它適用於需要說話者標籤的錄製語音，例如會議、訪談或多人討論。\n\n### 準備已完成的錄音\n\n提供需要轉錄的錄音。文件記載的檔案流程接受 MP3、MP4、MPEG、MPGA、M4A、WAV 與 WebM，檔案大小上限為 25 MB。保留來源錄音，以便將說話輪次、名稱或不清楚的字句對照實際音訊檢查。\n\n會議錄音應保留對話順序，不要剪掉有助區分輪次的短暫停頓。訪談任務若需要問答關係，應將問題與回答保留在一起。音訊準備應讓語音清楚可聞，同時不移除對帶說話者標籤成果重要的資訊。\n\n這是檔案轉錄流程。處理已完成錄音與辨識仍持續傳入的音訊串流是不同任務；模型的說話者標籤不支援 Realtime 轉錄工作階段。\n\n### 要求附說話者標籤的逐字稿\n\n`diarized_json` 結果格式回傳附有說話者身分標籤及起訖時間的片段。每個片段也包含其轉錄文字。將這些欄位保留在一起，才能把字句連到錄音中的相關部分。\n\n有用的會議逐字稿應保留片段順序，並搭配時間顯示每位說話者的字句。後續任務可以用逐字稿準備會議紀錄或待辦事項，但說話者分段本身不會決定會議達成哪些共識，也不會產生經驗證的摘要。\n\n說話者標籤描述模型對語音的分組。檢查人們互相打斷、短暫發言或重疊發言的轉換處。良好結構有助導覽與檢閱，但特定歸屬仍可能需要聆聽原始音訊。\n\n### 已知說話者參考\n\n文件記載的流程最多接受四個具名說話者參考。每個參考是 2–10 秒的短音訊片段，格式需與主要上傳支援的格式一致。名稱與參考一併提供，以便將片段對應到已知說話者。\n\n準備清楚包含目標說話者的參考，並讓名稱與逐字稿預定標籤一致。訪談中，主持人的參考可以協助整理帶有說話者標籤的成果，不必讓每個參與者都只得到匿名標籤。參考是歸屬判定的輸入，並非一般語音複製操作，也不是個人身分的證明。\n\n不要混淆為說話者命名與修改實際發言。有用的輸出仍需保留錄音內容及實際輪次順序。\n\n### 分塊與模型限制\n\n音訊超過 30 秒時，開發商要求指定分塊策略，可以是自動分塊或語音活動偵測設定。這項要求不是錄音時長上限，而是說明如何分割較長輸入以供處理。\n\n模型卡列出 16,000 個 token 的上下文視窗與最多 2,000 個輸出 token。這些是模型 token 限制，與檔案流程的 25 MB 上傳上限及分塊門檻分開。不應將其換算成適用於所有錄音的虛構分鐘數。\n\n組合或檢查較長逐字稿時，保留時間與片段識別。若錄音在提交前已分割，應保留各部分與原始音訊的關係，避免將局部時間戳誤認為完整對話中的位置。\n\n### 串流傳送已定稿片段\n\n檔案轉錄流程可在處理錄音時串流傳送文字。帶說話者標籤的串流會在片段完成時產生片段事件。文字增量含有片段識別碼，但不含部分的說話者指派；說話者會在片段定稿時指派。\n\n呈現時，這項區別很重要。將暫定文字與定稿的說話輪次顯示為不同狀態，不要在模型完成片段前附上不確定的說話者標籤。若後續編輯或分析需要逐字稿，應保留完成結果。\n\n### 模型與輸出範圍\n\n這個設定檔是說話者分段模型，與一般 GPT-4o 轉錄、Mini 轉錄、語音合成及即時對話模型分開。它不支援轉錄提示詞；術語檢閱或修正應作為獨立步驟，並對照原始音訊檢查。其開發商介面將錄製音訊轉錄成文字，不會生成音訊回答，也不會透過獨立的音訊翻譯流程翻譯錄音。\n\n用於同時需要內容與說話者結構的逐字稿。將名稱、專業術語、數字、輪次邊界與歸屬對照錄音檢查。保留音訊、所選結果格式、參考及完成逐字稿，讓修正可以針對一個具體字句或說話者指派。",
    "alias_of": null,
    "aliases": [],
    "author": "OpenAI",
    "available": null,
    "canonical_model": "openai/gpt-4o-transcribe-diarize",
    "capabilities": {
      "context_length": 16000,
      "manufacturer_input": [],
      "manufacturer_output": []
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.012000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "audio_input_token",
            "label": "audio input token",
            "native_amount_usd_per_unit": "0.000012",
            "native_quantity": 1,
            "native_unit": "audio_input_token",
            "public_unit_label": "/ 1K audio tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "audio_input_token"
          },
          {
            "amount": "0.02000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "audio_output_token",
            "label": "audio output token",
            "native_amount_usd_per_unit": "0.00002",
            "native_quantity": 1,
            "native_unit": "audio_output_token",
            "public_unit_label": "/ 1K audio tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "audio_output_token"
          }
        ],
        "summary": "完整的設定價格資訊請見詳細資料。"
      }
    ],
    "ctx": null,
    "entity_type": "model",
    "formats": [
      "transcriptions"
    ],
    "id": "openai/gpt-4o-transcribe-diarize",
    "input": [
      "audio"
    ],
    "kind": "unresolved_method_or_category",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain complete JSON, not only text; preserve every available segment/speaker/timestamp and actual task/asset identity.",
            "errors": [
              {
                "code": null,
                "condition": "必要欄位、素材表示方式或參數值無效",
                "http_status": 400,
                "recovery": "提出新的建立請求前，先修正指定欄位。",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "回傳的回應表示該作業或結果需要檢查",
                "http_status": null,
                "recovery": "保留原始回傳的作業／任務 ID、請求標頭與回應；繼續以支援的方式讀取該原始作業。請勿重新提交建立請求。",
                "type": "server_error"
              }
            ],
            "hints": [],
            "ignored_fields": [],
            "lifecycle": {
              "all_results": "Follow everyactualreturnedoutputandownedasset; no result is discardedbecauseindex0orcontent_urlalreadyexists.",
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed URL; never construct token"
                }
              ],
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "status": [
                {
                  "http": "GET",
                  "id_source": "actual returned task_id or media library record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "保留原始 operation_id/X-Client-Request-ID 以供核對，請勿重新提交；沒有專用的音訊輪詢路由。"
            },
            "limits": {
              "decoded_audio_max_bytes": 26214400
            },
            "material_combinations": [
              {
                "content_type": "multipart/form-data",
                "file_formats": [
                  "mp3"
                ],
                "maximum_seconds": 30,
                "mode": "diarized_transcription"
              }
            ],
            "media_library": {
              "asset": {
                "fields": [
                  {
                    "description": null,
                    "name": "asset_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "task_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "output_key",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "family",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "model",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "method",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "status",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "content_type",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "sha256",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "size_bytes",
                    "type": "integer"
                  },
                  {
                    "description": null,
                    "name": "content_url",
                    "type": "string"
                  }
                ],
                "http": "GET",
                "id_source": "actual returned asset_id",
                "path": "/v1/media/assets/{asset_id}"
              },
              "content": {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "range_header_supported": true,
                "url_source": "Use exact returned signed content_url including its token; do not construct a token."
              },
              "expired_link": {
                "code": "link_expired",
                "http_status": 404,
                "recovery": "Read the asset again to obtain its refreshed signed content_url, then fetch that URL. Do not regenerate."
              },
              "list": {
                "all_pages": "Follow every returned next_cursor, then select records by their actual task_id/output_key.",
                "http": "GET",
                "output_fields": [
                  {
                    "description": null,
                    "name": "object",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "data",
                    "type": "asset[]"
                  },
                  {
                    "description": null,
                    "name": "next_cursor",
                    "type": "string|null"
                  }
                ],
                "parameters": [
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "family",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "cursor",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": 20,
                    "default_known": true,
                    "enum": null,
                    "enum_known": false,
                    "maximum": 100,
                    "minimum": 1,
                    "name": "limit",
                    "required": false,
                    "type": "integer"
                  }
                ],
                "path": "/v1/media/assets"
              },
              "revoke": {
                "http": "DELETE",
                "meaning": "Revokes/deletes the existing owned file; this is not generation cancellation.",
                "path": "/v1/media/assets/{asset_id}",
                "pending_status": "revoking",
                "success_statuses": [
                  202,
                  204
                ]
              },
              "task": {
                "http": "GET",
                "id_source": "actual returned task_id or media library record; operation_id is not task_id",
                "path": "/v1/media/tasks/{task_id}"
              }
            },
            "operation_modes": [
              "diarized_transcription"
            ],
            "outputs": {
              "all_results": "請保留完整 JSON，而非僅保留文字；所有可用的片段／說話者／時間戳記與實際工作／資產身分均須保留。",
              "family": "transcription",
              "fields": [
                {
                  "description": null,
                  "name": "text",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "segments[]",
                  "type": "object"
                },
                {
                  "description": null,
                  "name": "task_id",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "asset_url",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": "object"
                },
                {
                  "description": null,
                  "name": "segments[].speaker",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "segments[].start",
                  "type": "number"
                },
                {
                  "description": null,
                  "name": "segments[].end",
                  "type": "number"
                }
              ],
              "format": "json"
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "openai/gpt-4o-transcribe-diarize"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "file_extension": ".mp3",
                "maximum_bytes": 26214400,
                "maximum_seconds": 30,
                "mime_types": [
                  "audio/mpeg"
                ],
                "name": "file",
                "required": true,
                "type": "file"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "diarized_json"
                ],
                "enum_known": true,
                "name": "response_format",
                "required": true,
                "type": "string"
              }
            ],
            "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.",
            "unsupported": [
              "JSONinput_audio",
              "nonMP3",
              "audioover30seconds",
              "otheroptions"
            ]
          },
          "hints": [
            "請使用實際錄音與相符的格式。",
            "請保留完整轉錄文字、片段、說話者 ID 與時間資訊。"
          ],
          "input": {
            "additional_properties": false,
            "content_type": "multipart/form-data",
            "file_formats": [
              "mp3"
            ],
            "form_string_maximum_bytes": 256,
            "material_types": [
              "audio"
            ],
            "max_audio_seconds": 30,
            "max_bytes": 26214400,
            "other_options": false,
            "required": [
              "model",
              "file",
              "response_format"
            ],
            "response_format": [
              "diarized_json"
            ]
          },
          "lifecycle": {
            "all_results": "Follow everyactualreturnedoutputandownedasset; no result is discardedbecauseindex0orcontent_urlalreadyexists.",
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "實際回傳的 task_id 或媒體庫紀錄",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Retain original operation_id/X-Client-Request-ID for reconciliation without resubmission; no dedicated audio poll route."
          },
          "method": {
            "http": "POST",
            "path": "/v1/audio/transcriptions"
          },
          "method_aliases": [
            "/audio/transcriptions"
          ],
          "operation_modes": [
            "diarized_transcription"
          ],
          "output": {
            "all_results": "Retain complete JSON, not only text; preserve every available segment/speaker/timestamp and actual task/asset identity.",
            "family": "transcription",
            "fields": [
              {
                "description": null,
                "name": "text",
                "type": "string"
              },
              {
                "description": null,
                "name": "segments[]",
                "type": "object"
              },
              {
                "description": null,
                "name": "task_id",
                "type": "string"
              },
              {
                "description": null,
                "name": "asset_url",
                "type": "string"
              },
              {
                "description": null,
                "name": "usage",
                "type": "object"
              },
              {
                "description": null,
                "name": "segments[].speaker",
                "type": "string"
              },
              {
                "description": null,
                "name": "segments[].start",
                "type": "number"
              },
              {
                "description": null,
                "name": "segments[].end",
                "type": "number"
              }
            ],
            "format": "json",
            "owned_result_extra_fields": [
              "task_id",
              "asset_url"
            ],
            "preserve_original_json_fields": [
              "text",
              "task",
              "duration",
              "segments",
              "usage"
            ],
            "segment_fields": [
              "type",
              "text",
              "speaker",
              "start",
              "end",
              "id"
            ]
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "/ 1K audio tokens"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.012000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_input_token",
                "label": "audio input token",
                "native_amount_usd_per_unit": "0.000012",
                "native_quantity": 1,
                "native_unit": "audio_input_token",
                "public_unit_label": "/ 1K audio tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "/ 1K audio tokens"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.02000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_output_token",
                "label": "audio output token",
                "native_amount_usd_per_unit": "0.00002",
                "native_quantity": 1,
                "native_unit": "audio_output_token",
                "public_unit_label": "/ 1K audio tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "audio_output_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_AUDIO_FILE:?Set the path to your actual MP3 recording}\"\nexport AILOOT_AUDIO_FILE\npython3 - <<'PY_REQUEST'\nimport os\nfrom pathlib import Path\np=Path(os.environ[\"AILOOT_AUDIO_FILE\"])\nif not p.is_file() or p.suffix.lower()!=\".mp3\":raise SystemExit(\"Choose an existing MP3 recording\")\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/transcriptions \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" \\\n  --form-string model=openai/gpt-4o-transcribe-diarize -F \"file=@$AILOOT_AUDIO_FILE\" --form-string response_format=diarized_json \\\n  -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"result.json\").read_text())))\nPY_RESULT\n",
            "label": "curl · exact retained creation",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_ASSETS'\nimport json,os,subprocess\nfrom pathlib import Path\nfrom urllib.parse import urljoin,urlsplit\nr=json.loads(Path('result.json').read_text())\nurls=[]\nif isinstance(r.get('asset_url'),str) and r['asset_url']:urls.append(('transcript',r['asset_url']))\nfor label,path in urls:\n    u=urljoin('https://api.ailoot.ai',path);z=urlsplit(u)\n    if z.scheme!='https' or z.netloc!='api.ailoot.ai' or z.username or z.password:raise SystemExit('Use the actual returned Ailoot owned content URL')\n    target=Path('owned-'+label+'.bin')\n    subprocess.run(['curl','--fail-with-body','--silent','--show-error',u,'-H','Authorization: Bearer '+os.environ['AILOOT_API_KEY'],'-D',str(target)+'.headers','-o',str(target)],check=True)\nprint('All returned owned URLs saved; complete metadata, timing and usage remain in the JSON.')\nPY_ASSETS\n",
            "label": "Save every returned owned transcript",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-assets.json\n",
            "label": "List actual media assets",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_MEDIA_TASK_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_MEDIA_TASK_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_MEDIA_TASK_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/tasks/$resource_id\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-task.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-task.json\").read_text())))\nPY_RESULT\n",
            "label": "Read actual media task",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_ASSET_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_ASSET_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_ASSET_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/assets/$resource_id\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-asset.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-asset.json\").read_text())))\nPY_RESULT\n",
            "label": "Read actual asset metadata",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "transcriptions",
        "hints": [
          "Use actual recording and matching format.",
          "Preserve full transcript, segments, speaker IDs and timing."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "audio"
        ],
        "label": "Распознавание речи",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [
          "/audio/transcriptions"
        ],
        "out": null,
        "output": [
          "transcription"
        ],
        "path": "/v1/audio/transcriptions",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "per_request",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null,
          "unit_prices": {
            "audio_input_token": 1.2e-05,
            "audio_output_token": 2e-05
          }
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "/ 1K audio tokens"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.012000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_input_token",
                "label": "audio input token",
                "native_amount_usd_per_unit": "0.000012",
                "native_quantity": 1,
                "native_unit": "audio_input_token",
                "public_unit_label": "/ 1K audio tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "/ 1K audio tokens"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.02000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_output_token",
                "label": "audio output token",
                "native_amount_usd_per_unit": "0.00002",
                "native_quantity": 1,
                "native_unit": "audio_output_token",
                "public_unit_label": "/ 1K audio tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "audio_output_token"
              }
            ]
          }
        ],
        "request_model_id": "openai/gpt-4o-transcribe-diarize",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/media/tasks/{task_id}",
          "GET /v1/media/assets/{asset_id}/content"
        ],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.012000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "audio_input_token",
            "label": "audio input token",
            "native_amount_usd_per_unit": "0.000012",
            "native_quantity": 1,
            "native_unit": "audio_input_token",
            "public_unit_label": "/ 1K audio tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "audio_input_token"
          },
          {
            "amount": "0.02000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "audio_output_token",
            "label": "audio output token",
            "native_amount_usd_per_unit": "0.00002",
            "native_quantity": 1,
            "native_unit": "audio_output_token",
            "public_unit_label": "/ 1K audio tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "audio_output_token"
          }
        ]
      }
    ],
    "model_aliases": [
      {
        "canonical_model_id": "openai/gpt-4o-transcribe-diarize",
        "request_model_id": "openai/gpt-4o-transcribe-diarize",
        "route_label": "Ultra"
      }
    ],
    "name": "gpt-4o-transcribe-diarize",
    "price": {
      "in": null,
      "in_label": null,
      "out": 0.02,
      "out_label": "/ 1K audio tokens",
      "sort_in": null,
      "sort_out": 0.02,
      "varies": true
    },
    "pricing_profiles": [],
    "public_id": "openai/gpt-4o-transcribe-diarize",
    "short": "GPT-4o Transcribe Diarize 將錄製的語音轉成附有說話者標籤與時間的文字片段。適合會議、訪談及多人錄音，需要在逐字稿中顯示誰在何時發言的情境，也可選擇提供已知說話者的短語音參考。"
  },
  "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": "GPT-4o Transcribe Diarize 將錄製的語音轉成附有說話者標籤與時間的文字片段。適合會議、訪談及多人錄音，需要在逐字稿中顯示誰在何時發言的情境，也可選擇提供已知說話者的短語音參考。",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "c44f551807cdd2eccd243e796ff4046b5b2abd1339abc5db124d0a3c600c9d19",
    "renderer_sha256": "13a3fc1b22d07359278e2249d630bfc9bb9e6416c71ba53def933fb5a903660b"
  },
  "sourceRevision": "6e0f90e890093c8df2855dd39d7955944f317b9d22dfcb07bb2335453fedeb76"
}