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  "aboutHtml": "<p>Jina Reranker v2 Base Multilingual 是用於檢索第二階段的文字排名模型。提供查詢與候選文件或段落，它會評估每個查詢與文件配對，並傳回相關性分數。實用成果是排序更佳的候選集合，可用於搜尋或檢索增強流程。它不會撰寫查詢答案，也不會建立文件嵌入。</p><h4>準備查詢與候選段落</h4><p>撰寫查詢時，清楚表達所需資訊。接著提供先前檢索步驟找到的文字。每個候選旁應保留穩定識別碼，讓相關性分數能連結至原始文件、區段或記錄。</p><p>客服搜尋應使用實際問題，以及包含相關程序的候選摘錄。重設特定裝置的查詢，應搭配保留裝置名稱、版本與重設條件的段落。僅提到裝置的段落，可能不如解釋所需操作的段落有用。提供模型需要比較的內容，而非只有文件標題。</p><p>使用語意連貫的段落。表格標題、定義或例外可能改變段落與查詢的關係，不要只是為了讓每個候選一樣短就移除。重排模型評估已提供候選；它無法找回先前檢索階段遺漏的相關文件。</p><h4>查詢與文件評分</h4><p>這是交叉編碼器：查詢與候選文字會一起處理。直接評分介面為每個對應配對傳回浮點相關性分數。較高分代表在該次比較中較相關。分數是排名訊號，不是生成解說，也不是文件為真的證明。</p><p>開發商也提供重排輔助函式，傳回附分數的已排序文件。前幾筆結果控制項可選擇要保留多少排名候選。傳給下一階段時，保留其識別碼與文字。問答流程的後續模型仍需要查詢與選定證據；排序清單本身不是已回答的問題。</p><p>比較檢索變更時，保持查詢與評估準則固定。檢查被提升到前面的段落，是否真正包含所需資訊。篩選門檻應依自己的資料集合範例設定，不要把相關性分數當成答案正確性的通用量尺。</p><h4>模型視窗與較長文件</h4><p>模型支援最高 1,024 token 上下文。文件所載的 <code>rerank()</code> 輔助函式以滑動視窗處理較長文件，分別對各片段評分，再合併成文件層級結果。分塊是該輔助函式的行為，不應誤認為單次模型輸入具有無限上下文視窗。</p><p>輔助函式開放查詢長度、區塊長度與重疊設定。文件預設重疊為 80。公開使用範例指定最大查詢長度 512、區塊長度 1,024；這些是輔助函式範例設定，不代表每個呼叫者或路由都使用它們。</p><p>處理長手冊時，保留足夠相鄰文字，讓指示及其條件一起出現。評估結果時，檢查高排名文件的相關部分，不要假設其每一節都同樣能回答查詢。</p><h4>多語言與專門文字檢索</h4><p>v2 模型支援多語言。開發商範例將英文查詢與英文、德文、西班牙文、中文及日文段落一起排名。這使資料集合可包含多種語言的相關內容，而不必先將每個候選翻譯成查詢語言。</p><p>文件所載任務範圍也包含程式碼檢索，以及與函式或 SQL 相關文字表示的排名。這些仍屬相關性排名任務：模型評估所提供文字。候選集合包含這類內容，不代表模型會執行函式、執行 SQL，或產生工具結果。</p><h4>版本與實際限制</h4><p>此 v2 Base Multilingual 模型版本應與 Jina 早期僅支援英文的重排模型、Jina Reranker v3，以及多模態重排模型版本區分。它們是任務與輸入特性不同的模型。此版本輸入為查詢與文字配對；圖片或影片內容需要適當表示或模型。</p><p>開發商參考實作支援直接分數與文件排名輔助函式，並可選用加速注意力。這些實作選項影響輸入準備與處理方式，不代表每種整合都開放相同控制項。</p><p>排序輸出可用於多語言搜尋、客服知識庫、文件檢索，以及生成前的證據選取。檢查前幾名段落，保留原始候選映射，並區分相關性與事實有效性。實用檢索結果會將正確的已提供證據推至前方，再讓適當流程負責下一項任務：回答、摘要或決策。</p>",
  "aboutText": "Jina Reranker v2 Base Multilingual 是用於檢索第二階段的文字排名模型。提供查詢與候選文件或段落，它會評估每個查詢與文件配對，並傳回相關性分數。實用成果是排序更佳的候選集合，可用於搜尋或檢索增強流程。它不會撰寫查詢答案，也不會建立文件嵌入。\n\n### 準備查詢與候選段落\n\n撰寫查詢時，清楚表達所需資訊。接著提供先前檢索步驟找到的文字。每個候選旁應保留穩定識別碼，讓相關性分數能連結至原始文件、區段或記錄。\n\n客服搜尋應使用實際問題，以及包含相關程序的候選摘錄。重設特定裝置的查詢，應搭配保留裝置名稱、版本與重設條件的段落。僅提到裝置的段落，可能不如解釋所需操作的段落有用。提供模型需要比較的內容，而非只有文件標題。\n\n使用語意連貫的段落。表格標題、定義或例外可能改變段落與查詢的關係，不要只是為了讓每個候選一樣短就移除。重排模型評估已提供候選；它無法找回先前檢索階段遺漏的相關文件。\n\n### 查詢與文件評分\n\n這是交叉編碼器：查詢與候選文字會一起處理。直接評分介面為每個對應配對傳回浮點相關性分數。較高分代表在該次比較中較相關。分數是排名訊號，不是生成解說，也不是文件為真的證明。\n\n開發商也提供重排輔助函式，傳回附分數的已排序文件。前幾筆結果控制項可選擇要保留多少排名候選。傳給下一階段時，保留其識別碼與文字。問答流程的後續模型仍需要查詢與選定證據；排序清單本身不是已回答的問題。\n\n比較檢索變更時，保持查詢與評估準則固定。檢查被提升到前面的段落，是否真正包含所需資訊。篩選門檻應依自己的資料集合範例設定，不要把相關性分數當成答案正確性的通用量尺。\n\n### 模型視窗與較長文件\n\n模型支援最高 1,024 token 上下文。文件所載的 `rerank()` 輔助函式以滑動視窗處理較長文件，分別對各片段評分，再合併成文件層級結果。分塊是該輔助函式的行為，不應誤認為單次模型輸入具有無限上下文視窗。\n\n輔助函式開放查詢長度、區塊長度與重疊設定。文件預設重疊為 80。公開使用範例指定最大查詢長度 512、區塊長度 1,024；這些是輔助函式範例設定，不代表每個呼叫者或路由都使用它們。\n\n處理長手冊時，保留足夠相鄰文字，讓指示及其條件一起出現。評估結果時，檢查高排名文件的相關部分，不要假設其每一節都同樣能回答查詢。\n\n### 多語言與專門文字檢索\n\nv2 模型支援多語言。開發商範例將英文查詢與英文、德文、西班牙文、中文及日文段落一起排名。這使資料集合可包含多種語言的相關內容，而不必先將每個候選翻譯成查詢語言。\n\n文件所載任務範圍也包含程式碼檢索，以及與函式或 SQL 相關文字表示的排名。這些仍屬相關性排名任務：模型評估所提供文字。候選集合包含這類內容，不代表模型會執行函式、執行 SQL，或產生工具結果。\n\n### 版本與實際限制\n\n此 v2 Base Multilingual 模型版本應與 Jina 早期僅支援英文的重排模型、Jina Reranker v3，以及多模態重排模型版本區分。它們是任務與輸入特性不同的模型。此版本輸入為查詢與文字配對；圖片或影片內容需要適當表示或模型。\n\n開發商參考實作支援直接分數與文件排名輔助函式，並可選用加速注意力。這些實作選項影響輸入準備與處理方式，不代表每種整合都開放相同控制項。\n\n排序輸出可用於多語言搜尋、客服知識庫、文件檢索，以及生成前的證據選取。檢查前幾名段落，保留原始候選映射，並區分相關性與事實有效性。實用檢索結果會將正確的已提供證據推至前方，再讓適當流程負責下一項任務：回答、摘要或決策。",
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    {
      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">jina-reranker-v2-base-multilingual</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"關閉\">×</button></div><div class=\"idline\"><span>Jina AI /</span><code>jina-reranker-v2-base-multilingual</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|rerank|/v1/rerank|jina-reranker-v2-base-multilingual\">重新排序</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\">Jina Reranker v2 Base Multilingual 會對查詢與候選文字評分，並依相關性排序。其交叉編碼器可處理多語言檢索；開發商的重排輔助函式則依 1,024 token 模型視窗，將較長文件分塊。</p><dl class=\"card-io\" data-card-io><div><dt>接受的輸入</dt><dd>文字</dd></div><div><dt>結果</dt><dd>已排序結果</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>Jina Reranker v2 Base Multilingual 是用於檢索第二階段的文字排名模型。提供查詢與候選文件或段落，它會評估每個查詢與文件配對，並傳回相關性分數。實用成果是排序更佳的候選集合，可用於搜尋或檢索增強流程。它不會撰寫查詢答案，也不會建立文件嵌入。</p><h4>準備查詢與候選段落</h4><p>撰寫查詢時，清楚表達所需資訊。接著提供先前檢索步驟找到的文字。每個候選旁應保留穩定識別碼，讓相關性分數能連結至原始文件、區段或記錄。</p><p>客服搜尋應使用實際問題，以及包含相關程序的候選摘錄。重設特定裝置的查詢，應搭配保留裝置名稱、版本與重設條件的段落。僅提到裝置的段落，可能不如解釋所需操作的段落有用。提供模型需要比較的內容，而非只有文件標題。</p><p>使用語意連貫的段落。表格標題、定義或例外可能改變段落與查詢的關係，不要只是為了讓每個候選一樣短就移除。重排模型評估已提供候選；它無法找回先前檢索階段遺漏的相關文件。</p><h4>查詢與文件評分</h4><p>這是交叉編碼器：查詢與候選文字會一起處理。直接評分介面為每個對應配對傳回浮點相關性分數。較高分代表在該次比較中較相關。分數是排名訊號，不是生成解說，也不是文件為真的證明。</p><p>開發商也提供重排輔助函式，傳回附分數的已排序文件。前幾筆結果控制項可選擇要保留多少排名候選。傳給下一階段時，保留其識別碼與文字。問答流程的後續模型仍需要查詢與選定證據；排序清單本身不是已回答的問題。</p><p>比較檢索變更時，保持查詢與評估準則固定。檢查被提升到前面的段落，是否真正包含所需資訊。篩選門檻應依自己的資料集合範例設定，不要把相關性分數當成答案正確性的通用量尺。</p><h4>模型視窗與較長文件</h4><p>模型支援最高 1,024 token 上下文。文件所載的 <code>rerank()</code> 輔助函式以滑動視窗處理較長文件，分別對各片段評分，再合併成文件層級結果。分塊是該輔助函式的行為，不應誤認為單次模型輸入具有無限上下文視窗。</p><p>輔助函式開放查詢長度、區塊長度與重疊設定。文件預設重疊為 80。公開使用範例指定最大查詢長度 512、區塊長度 1,024；這些是輔助函式範例設定，不代表每個呼叫者或路由都使用它們。</p><p>處理長手冊時，保留足夠相鄰文字，讓指示及其條件一起出現。評估結果時，檢查高排名文件的相關部分，不要假設其每一節都同樣能回答查詢。</p><h4>多語言與專門文字檢索</h4><p>v2 模型支援多語言。開發商範例將英文查詢與英文、德文、西班牙文、中文及日文段落一起排名。這使資料集合可包含多種語言的相關內容，而不必先將每個候選翻譯成查詢語言。</p><p>文件所載任務範圍也包含程式碼檢索，以及與函式或 SQL 相關文字表示的排名。這些仍屬相關性排名任務：模型評估所提供文字。候選集合包含這類內容，不代表模型會執行函式、執行 SQL，或產生工具結果。</p><h4>版本與實際限制</h4><p>此 v2 Base Multilingual 模型版本應與 Jina 早期僅支援英文的重排模型、Jina Reranker v3，以及多模態重排模型版本區分。它們是任務與輸入特性不同的模型。此版本輸入為查詢與文字配對；圖片或影片內容需要適當表示或模型。</p><p>開發商參考實作支援直接分數與文件排名輔助函式，並可選用加速注意力。這些實作選項影響輸入準備與處理方式，不代表每種整合都開放相同控制項。</p><p>排序輸出可用於多語言搜尋、客服知識庫、文件檢索，以及生成前的證據選取。檢查前幾名段落，保留原始候選映射，並區分相關性與事實有效性。實用檢索結果會將正確的已提供證據推至前方，再讓適當流程負責下一項任務：回答、摘要或決策。</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 · 重新排序</b> <code>POST /v1/rerank</code></summary><dl class=\"method-capabilities\"><div><dt>輸入</dt><dd><code>text</code></dd></div><div><dt>輸出</dt><dd><code>rerank</code></dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>欄位</th><th>類型</th><th>要求</th><th>值與限制</th><th>預設值</th></tr></thead><tbody><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>string</code></td><td data-cell-label=\"要求\"><span class=\"card-cell-label\">要求</span>必填</td><td data-cell-label=\"值與限制\"><span class=\"card-cell-label\">值與限制</span><div>jina-reranker-v2-base-multilingual</div></td><td data-cell-label=\"預設值\" data-default=\"unspecified\"><span class=\"card-cell-label\">預設值</span>—</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">query</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>string</code></td><td data-cell-label=\"要求\"><span class=\"card-cell-label\">要求</span>選填</td><td data-cell-label=\"值與限制\"><span class=\"card-cell-label\">值與限制</span></td><td data-cell-label=\"預設值\" data-default=\"unspecified\"><span class=\"card-cell-label\">預設值</span>—</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">documents</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>array</code></td><td data-cell-label=\"要求\"><span class=\"card-cell-label\">要求</span>必填</td><td data-cell-label=\"值與限制\"><span class=\"card-cell-label\">值與限制</span></td><td data-cell-label=\"預設值\" data-default=\"unspecified\"><span class=\"card-cell-label\">預設值</span>—</td></tr></tbody></table></div><details class=\"note-s\" data-method-contract><summary>方法參數與生命週期</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>參數</th><th>規格</th></tr></thead><tbody><tr><th data-cell-label=\"參數\" scope=\"row\"><span class=\"card-cell-label\">參數</span><code>content_type</code></th><td data-cell-label=\"規格\"><span class=\"card-cell-label\">規格</span>application/json</td></tr><tr><th data-cell-label=\"參數\" scope=\"row\"><span class=\"card-cell-label\">參數</span><code>required</code></th><td data-cell-label=\"規格\"><span class=\"card-cell-label\">規格</span>model, documents</td></tr><tr><th data-cell-label=\"參數\" scope=\"row\"><span class=\"card-cell-label\">參數</span><code>material_types</code></th><td data-cell-label=\"規格\"><span class=\"card-cell-label\">規格</span>text</td></tr><tr><th data-cell-label=\"參數\" scope=\"row\"><span class=\"card-cell-label\">參數</span><code>material_conditions</code></th><td data-cell-label=\"規格\"><span class=\"card-cell-label\">規格</span>請設定實際查詢內容，並提供包含原始文字文件的非空陣列。結果索引會指向該原始陣列。</td></tr></tbody></table></div><p>生命週期： <code>synchronous_result_then_owned_library</code></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></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>總詞元</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 Token</td><td data-cell-label=\"費用\"><span class=\"card-cell-label\">費用</span><div><span>輸入 · 總詞元</span> <b>$0.0001</b> <span class=\"price-unit\">/ 1K Token</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot 會在請求前預留估算金額。取得結果後，依實測用量結算最終費用。串流結算採用最終用量紀錄。<a href=\"/docs/zh-hant-tw/billing/reserve/\">預留金額與結算的運作方式 →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">請求範例</h3><h4>Ailoot Ultra · 重新排序</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"程式碼版本\"><button class=\"cg-tab\" id=\"model-code-1768-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1768-panel-0\" aria-selected=\"true\" tabindex=\"0\">使用實際輸入並保留完整結果</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"複製程式碼\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-1768-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1768-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_QUERY:?Set the actual documented input value}&quot;\nexport AILOOT_QUERY\n: &quot;${AILOOT_DOCUMENTS_JSON:?Set the actual documented input value}&quot;\nexport AILOOT_DOCUMENTS_JSON\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\nrequest={&#39;model&#39;: &#39;jina-reranker-v2-base-multilingual&#39;, &#39;query&#39;: &#39;${ACTUAL_QUERY}&#39;, &#39;documents&#39;: &#39;${ACTUAL_DOCUMENTS}&#39;}\nrequest[&#39;query&#39;]=os.environ[&#39;AILOOT_QUERY&#39;]\nrequest[&#39;documents&#39;]=json.loads(os.environ[&#39;AILOOT_DOCUMENTS_JSON&#39;])\nPath(&#39;request.json&#39;).write_text(json.dumps(request,ensure_ascii=False),encoding=&#39;utf-8&#39;)\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/rerank \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o response.bin\n# Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.\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 · 重新排序</h4><p class=\"note-s\">完整的原始原生 JSON 結果，含已設定的回應模型、原始文件索引、相關性分數、文件字串與原生詞元用量。請保留每個實際結果與用量欄位。</p><ul class=\"card-result-paths\"><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><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\">保留完整回應與標頭、所有實際輸出、原始回傳的識別碼，以及所有用量欄位。恢復原始作業時，請勿再次提交建立請求。</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>需要檢查原始回應時</h5><p class=\"note-s\">請保留實際的 X-Client-Request-ID 與完整回應。請讀取原始自有資產及其完全相符的簽署內容 URL；切勿重新提交結果不明的建立請求。</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><th>含義</th></tr></thead><tbody><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span>string</td><td data-cell-label=\"含義\"><span class=\"card-cell-label\">含義</span>已設定的 Source 取用端所要求的確切回應模型。</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">results[].index</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span>integer</td><td data-cell-label=\"含義\"><span class=\"card-cell-label\">含義</span>原始輸入文件的唯一索引。</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">results[].relevance_score</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span>number</td><td data-cell-label=\"含義\"><span class=\"card-cell-label\">含義</span>有限值的相關性分數。</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">results[].document</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span>string</td><td data-cell-label=\"含義\"><span class=\"card-cell-label\">含義</span>此已設定的回應取用端所需的原始文字文件。</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.total_tokens</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span>integer</td><td data-cell-label=\"含義\"><span class=\"card-cell-label\">含義</span>目前已接受費率所要求的有限且非負原生詞元數。</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>JSON 本文或明確的標準模型 ID 無效。</td><td data-cell-label=\"下一步\"><span class=\"card-cell-label\">下一步</span>請保留回應，並修正指出的請求欄位。</td></tr><tr><th data-cell-label=\"回應\" scope=\"row\"><span class=\"card-cell-label\">回應</span>401 · <code>authentication_error</code></th><td data-cell-label=\"條件\"><span class=\"card-cell-label\">條件</span>Ailoot API 金鑰無效。</td><td data-cell-label=\"下一步\"><span class=\"card-cell-label\">下一步</span>請使用您已獲授權的 Ailoot API 金鑰。</td></tr><tr><th data-cell-label=\"回應\" scope=\"row\"><span class=\"card-cell-label\">回應</span>403 · <code>permission_error</code></th><td data-cell-label=\"條件\"><span class=\"card-cell-label\">條件</span>此金鑰群組未獲准使用該方法。</td><td data-cell-label=\"下一步\"><span class=\"card-cell-label\">下一步</span>請保留回傳的錯誤詳細資訊。</td></tr><tr><th data-cell-label=\"回應\" scope=\"row\"><span class=\"card-cell-label\">回應</span>404 · <code>not_found_error</code></th><td data-cell-label=\"條件\"><span class=\"card-cell-label\">條件</span>所選方法沒有獲准使用的路由。</td><td data-cell-label=\"下一步\"><span class=\"card-cell-label\">下一步</span>請保留回傳的錯誤詳細資訊。</td></tr><tr><th data-cell-label=\"回應\" scope=\"row\"><span class=\"card-cell-label\">回應</span>422 · <code>price_unavailable</code></th><td data-cell-label=\"條件\"><span class=\"card-cell-label\">條件</span>已接受的費率無法取得其所需的輸入數量或界限。</td><td data-cell-label=\"下一步\"><span class=\"card-cell-label\">下一步</span>請保留回應，並使用已接受費率所要求的輸入表示方式。</td></tr><tr><th data-cell-label=\"回應\" scope=\"row\"><span class=\"card-cell-label\">回應</span>503 · <code></code></th><td data-cell-label=\"條件\"><span class=\"card-cell-label\">條件</span>所需的儲存系統、路由、方法價格或預留額度無法使用。</td><td data-cell-label=\"下一步\"><span class=\"card-cell-label\">下一步</span>請保留完整的原始回應。預留額度狀態不明並不代表可以重新提交。</td></tr><tr><th data-cell-label=\"回應\" scope=\"row\"><span class=\"card-cell-label\">回應</span>502 · <code>billing_requires_check</code></th><td data-cell-label=\"條件\"><span class=\"card-cell-label\">條件</span>原始結果、用量或結算需要查核。</td><td data-cell-label=\"下一步\"><span class=\"card-cell-label\">下一步</span>請保留實際的請求 ID 與原始回應。請讀取現有的自有紀錄，切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=jina-reranker-v2-base-multilingual&amp;route=Ultra&amp;caller=jina-reranker-v2-base-multilingual&amp;fmt=rerank\"><code>jina-reranker-v2-base-multilingual</code></a></span></p><h4>方法路徑別名</h4><p class=\"note-s\">請使用上方列出的 API 方法路徑。</p><h4>相關呼叫用 ID</h4><p class=\"note-s\"><a href=\"#m=jina-reranker-v2-base-multilingual&amp;route=Ultra&amp;caller=jina-reranker-v2-base-multilingual&amp;fmt=rerank\"><code>jina-reranker-v2-base-multilingual</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "jina-reranker-v2-base-multilingual",
        "fmt": "rerank",
        "http": "POST",
        "path": "/v1/rerank",
        "request_model_id": "jina-reranker-v2-base-multilingual",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|rerank|/v1/rerank|jina-reranker-v2-base-multilingual",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "errors": [
              {
                "code": null,
                "condition": "JSON 本文或明確的標準模型 ID 無效。",
                "http_status": 400,
                "recovery": "請保留回應，並修正指出的請求欄位。",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "Ailoot API 金鑰無效。",
                "http_status": 401,
                "recovery": "請使用您已獲授權的 Ailoot API 金鑰。",
                "type": "authentication_error"
              },
              {
                "code": null,
                "condition": "此金鑰群組未獲准使用該方法。",
                "http_status": 403,
                "recovery": "請保留回傳的錯誤詳細資訊。",
                "type": "permission_error"
              },
              {
                "code": null,
                "condition": "所選方法沒有獲准使用的路由。",
                "http_status": 404,
                "recovery": "請保留回傳的錯誤詳細資訊。",
                "type": "not_found_error"
              },
              {
                "code": null,
                "condition": "已接受的費率無法取得其所需的輸入數量或界限。",
                "http_status": 422,
                "recovery": "請保留回應，並使用已接受費率所要求的輸入表示方式。",
                "type": "price_unavailable"
              },
              {
                "code": null,
                "condition": "所需的儲存系統、路由、方法價格或預留額度無法使用。",
                "http_status": 503,
                "recovery": "請保留完整的原始回應。預留額度狀態不明並不代表可以重新提交。",
                "type": null
              },
              {
                "code": null,
                "condition": "原始結果、用量或結算需要查核。",
                "http_status": 502,
                "recovery": "請保留實際的請求 ID 與原始回應。請讀取現有的自有紀錄，切勿重新提交建立請求。",
                "type": "billing_requires_check"
              }
            ],
            "lifecycle": {
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed content URL"
                }
              ],
              "dedicated_method_polling_or_cancel": false,
              "mode": "synchronous_result_then_owned_library",
              "original_POST_adds_task_envelope": false,
              "status": [],
              "unknown": "請保留實際的 X-Client-Request-ID 與完整回應。請讀取原始自有資產及其完全相符的簽署內容 URL；切勿重新提交結果不明的建立請求。"
            },
            "outputs": {
              "all_results": "保留完整回應與標頭、所有實際輸出、原始回傳的識別碼，以及所有用量欄位。恢復原始作業時，請勿再次提交建立請求。",
              "family": "rerank",
              "fields": [
                {
                  "description": "已設定的 Source 取用端所要求的確切回應模型。",
                  "name": "model",
                  "type": "string"
                },
                {
                  "description": "原始輸入文件的唯一索引。",
                  "name": "results[].index",
                  "type": "integer"
                },
                {
                  "description": "有限值的相關性分數。",
                  "name": "results[].relevance_score",
                  "type": "number"
                },
                {
                  "description": "此已設定的回應取用端所需的原始文字文件。",
                  "name": "results[].document",
                  "type": "string"
                },
                {
                  "description": "目前已接受費率所要求的有限且非負原生詞元數。",
                  "name": "usage.total_tokens",
                  "type": "integer"
                }
              ],
              "result": "完整的原始原生 JSON 結果，含已設定的回應模型、原始文件索引、相關性分數、文件字串與原生詞元用量。請保留每個實際結果與用量欄位。"
            },
            "parameters": [
              {
                "default_known": false,
                "enum": [
                  "jina-reranker-v2-base-multilingual"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "query",
                "required": false,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "documents",
                "required": true,
                "type": "array"
              }
            ],
            "request_schema": {
              "properties": {
                "documents": {
                  "items": {
                    "type": "string"
                  },
                  "minItems": 1,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "jina-reranker-v2-base-multilingual"
                  ],
                  "type": "string"
                },
                "query": {
                  "type": "string"
                }
              },
              "required": [
                "model",
                "documents"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "documents": "${ACTUAL_DOCUMENTS}",
                "model": "jina-reranker-v2-base-multilingual",
                "query": "${ACTUAL_QUERY}"
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "content_type": "application/json",
            "material_conditions": [
              "請設定實際查詢內容，並提供包含原始文字文件的非空陣列。結果索引會指向該原始陣列。"
            ],
            "material_types": [
              "text"
            ],
            "required": [
              "model",
              "documents"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed content URL"
              }
            ],
            "dedicated_method_polling_or_cancel": false,
            "mode": "synchronous_result_then_owned_library",
            "original_POST_adds_task_envelope": false,
            "status": [],
            "unknown": "Retain the actual X-Client-Request-ID and complete response. Read the original owned assets and their exact signed content URLs; never resubmit an uncertain creation."
          },
          "method": {
            "http": "POST",
            "path": "/v1/rerank"
          },
          "output": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "family": "rerank",
            "fields": [
              {
                "description": "Exact response model required by the configured Source consumer.",
                "name": "model",
                "type": "string"
              },
              {
                "description": "Unique original input document index.",
                "name": "results[].index",
                "type": "integer"
              },
              {
                "description": "Finite relevance score.",
                "name": "results[].relevance_score",
                "type": "number"
              },
              {
                "description": "Original text document required by this configured response consumer.",
                "name": "results[].document",
                "type": "string"
              },
              {
                "description": "Finite nonnegative native token count required by the current accepted tariff.",
                "name": "usage.total_tokens",
                "type": "integer"
              }
            ],
            "result": "Complete original native JSON result with the configured response model, original document indices, relevance scores, document strings and native token usage. Retain every actual result and usage field."
          }
        },
        "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 tokens"
            },
            "label": "total token",
            "units": [
              {
                "amount": "0.0001000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "total_token",
                "label": "total token",
                "native_amount_usd_per_unit": "0.0000001",
                "native_quantity": 1,
                "native_unit": "total_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "total_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_QUERY:?Set the actual documented input value}\"\nexport AILOOT_QUERY\n: \"${AILOOT_DOCUMENTS_JSON:?Set the actual documented input value}\"\nexport AILOOT_DOCUMENTS_JSON\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\nrequest={'model': 'jina-reranker-v2-base-multilingual', 'query': '${ACTUAL_QUERY}', 'documents': '${ACTUAL_DOCUMENTS}'}\nrequest['query']=os.environ['AILOOT_QUERY']\nrequest['documents']=json.loads(os.environ['AILOOT_DOCUMENTS_JSON'])\nPath('request.json').write_text(json.dumps(request,ensure_ascii=False),encoding='utf-8')\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/rerank \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o response.bin\n# Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.\n",
            "label": "Use actual input and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "rerank",
        "hints": [
          "Set your actual query and nonempty array of original text documents. Result indices refer to that original array.",
          "The minimum example omits top_n, return_documents, instruct and other optional controls.",
          "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "text"
        ],
        "label": "重新排序",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "native_endpoint": "rerank",
        "out": null,
        "output": [
          "rerank"
        ],
        "path": "/v1/rerank",
        "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": {
            "total_token": 1e-07
          }
        },
        "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 tokens"
            },
            "label": "total token",
            "units": [
              {
                "amount": "0.0001000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "total_token",
                "label": "total token",
                "native_amount_usd_per_unit": "0.0000001",
                "native_quantity": 1,
                "native_unit": "total_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "total_token"
              }
            ]
          }
        ],
        "request_model_id": "jina-reranker-v2-base-multilingual",
        "route_label": "Ultra",
        "status_reads": [],
        "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": "0.0001000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "total_token",
            "label": "total token",
            "native_amount_usd_per_unit": "0.0000001",
            "native_quantity": 1,
            "native_unit": "total_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "total_token"
          }
        ]
      }
    }
  ],
  "model_id": "jina-reranker-v2-base-multilingual",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "ba600274f37f5b78bd013d9c47f36c995320be208b15fe5c5563bc5c8b3be04b",
    "input_html_sha256": "8020d03643e9850895c756cd49ae70982590e7d9c381d086305c66b8dbc709c9",
    "private_audit_sha256": "be7306c3b18be00b45b80afceada23ead7963e15e3d22922f6d22885d7cf4cb6",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/zh-hant-tw/jina-reranker-v2-base-multilingual/",
    "description": "Jina Reranker v2 Base Multilingual 會對查詢與候選文字評分，並依相關性排序。其交叉編碼器可處理多語言檢索；開發商的重排輔助函式則依 1,024 token 模型視窗，將較長文件分塊。",
    "locale": "zh-hant-tw",
    "md_url": "https://ailoot.ai/models/zh-hant-tw/jina-reranker-v2-base-multilingual/index.md",
    "title": "jina-reranker-v2-base-multilingual — Ailoot",
    "url": "https://ailoot.ai/models/zh-hant-tw/jina-reranker-v2-base-multilingual/"
  },
  "rawModel": {
    "about": "Jina Reranker v2 Base Multilingual 是用於檢索第二階段的文字排名模型。提供查詢與候選文件或段落，它會評估每個查詢與文件配對，並傳回相關性分數。實用成果是排序更佳的候選集合，可用於搜尋或檢索增強流程。它不會撰寫查詢答案，也不會建立文件嵌入。\n\n### 準備查詢與候選段落\n\n撰寫查詢時，清楚表達所需資訊。接著提供先前檢索步驟找到的文字。每個候選旁應保留穩定識別碼，讓相關性分數能連結至原始文件、區段或記錄。\n\n客服搜尋應使用實際問題，以及包含相關程序的候選摘錄。重設特定裝置的查詢，應搭配保留裝置名稱、版本與重設條件的段落。僅提到裝置的段落，可能不如解釋所需操作的段落有用。提供模型需要比較的內容，而非只有文件標題。\n\n使用語意連貫的段落。表格標題、定義或例外可能改變段落與查詢的關係，不要只是為了讓每個候選一樣短就移除。重排模型評估已提供候選；它無法找回先前檢索階段遺漏的相關文件。\n\n### 查詢與文件評分\n\n這是交叉編碼器：查詢與候選文字會一起處理。直接評分介面為每個對應配對傳回浮點相關性分數。較高分代表在該次比較中較相關。分數是排名訊號，不是生成解說，也不是文件為真的證明。\n\n開發商也提供重排輔助函式，傳回附分數的已排序文件。前幾筆結果控制項可選擇要保留多少排名候選。傳給下一階段時，保留其識別碼與文字。問答流程的後續模型仍需要查詢與選定證據；排序清單本身不是已回答的問題。\n\n比較檢索變更時，保持查詢與評估準則固定。檢查被提升到前面的段落，是否真正包含所需資訊。篩選門檻應依自己的資料集合範例設定，不要把相關性分數當成答案正確性的通用量尺。\n\n### 模型視窗與較長文件\n\n模型支援最高 1,024 token 上下文。文件所載的 `rerank()` 輔助函式以滑動視窗處理較長文件，分別對各片段評分，再合併成文件層級結果。分塊是該輔助函式的行為，不應誤認為單次模型輸入具有無限上下文視窗。\n\n輔助函式開放查詢長度、區塊長度與重疊設定。文件預設重疊為 80。公開使用範例指定最大查詢長度 512、區塊長度 1,024；這些是輔助函式範例設定，不代表每個呼叫者或路由都使用它們。\n\n處理長手冊時，保留足夠相鄰文字，讓指示及其條件一起出現。評估結果時，檢查高排名文件的相關部分，不要假設其每一節都同樣能回答查詢。\n\n### 多語言與專門文字檢索\n\nv2 模型支援多語言。開發商範例將英文查詢與英文、德文、西班牙文、中文及日文段落一起排名。這使資料集合可包含多種語言的相關內容，而不必先將每個候選翻譯成查詢語言。\n\n文件所載任務範圍也包含程式碼檢索，以及與函式或 SQL 相關文字表示的排名。這些仍屬相關性排名任務：模型評估所提供文字。候選集合包含這類內容，不代表模型會執行函式、執行 SQL，或產生工具結果。\n\n### 版本與實際限制\n\n此 v2 Base Multilingual 模型版本應與 Jina 早期僅支援英文的重排模型、Jina Reranker v3，以及多模態重排模型版本區分。它們是任務與輸入特性不同的模型。此版本輸入為查詢與文字配對；圖片或影片內容需要適當表示或模型。\n\n開發商參考實作支援直接分數與文件排名輔助函式，並可選用加速注意力。這些實作選項影響輸入準備與處理方式，不代表每種整合都開放相同控制項。\n\n排序輸出可用於多語言搜尋、客服知識庫、文件檢索，以及生成前的證據選取。檢查前幾名段落，保留原始候選映射，並區分相關性與事實有效性。實用檢索結果會將正確的已提供證據推至前方，再讓適當流程負責下一項任務：回答、摘要或決策。",
    "alias_of": null,
    "aliases": [],
    "author": "Jina AI",
    "capabilities": {
      "context_length": 0,
      "manufacturer_input": [],
      "manufacturer_output": []
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.0001000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "total_token",
            "label": "total token",
            "native_amount_usd_per_unit": "0.0000001",
            "native_quantity": 1,
            "native_unit": "total_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "total_token"
          }
        ],
        "summary": "完整的設定價格資訊請見詳細資料。"
      }
    ],
    "ctx": null,
    "formats": [
      "rerank"
    ],
    "id": "jina-reranker-v2-base-multilingual",
    "input": [
      "text"
    ],
    "kind": "text",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "errors": [
              {
                "code": null,
                "condition": "JSON 本文或明確的標準模型 ID 無效。",
                "http_status": 400,
                "recovery": "請保留回應，並修正指出的請求欄位。",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "Ailoot API 金鑰無效。",
                "http_status": 401,
                "recovery": "請使用您已獲授權的 Ailoot API 金鑰。",
                "type": "authentication_error"
              },
              {
                "code": null,
                "condition": "此金鑰群組未獲准使用該方法。",
                "http_status": 403,
                "recovery": "請保留回傳的錯誤詳細資訊。",
                "type": "permission_error"
              },
              {
                "code": null,
                "condition": "所選方法沒有獲准使用的路由。",
                "http_status": 404,
                "recovery": "請保留回傳的錯誤詳細資訊。",
                "type": "not_found_error"
              },
              {
                "code": null,
                "condition": "已接受的費率無法取得其所需的輸入數量或界限。",
                "http_status": 422,
                "recovery": "請保留回應，並使用已接受費率所要求的輸入表示方式。",
                "type": "price_unavailable"
              },
              {
                "code": null,
                "condition": "所需的儲存系統、路由、方法價格或預留額度無法使用。",
                "http_status": 503,
                "recovery": "請保留完整的原始回應。預留額度狀態不明並不代表可以重新提交。",
                "type": null
              },
              {
                "code": null,
                "condition": "原始結果、用量或結算需要查核。",
                "http_status": 502,
                "recovery": "請保留實際的請求 ID 與原始回應。請讀取現有的自有紀錄，切勿重新提交建立請求。",
                "type": "billing_requires_check"
              }
            ],
            "lifecycle": {
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed content URL"
                }
              ],
              "dedicated_method_polling_or_cancel": false,
              "mode": "synchronous_result_then_owned_library",
              "original_POST_adds_task_envelope": false,
              "status": [],
              "unknown": "請保留實際的 X-Client-Request-ID 與完整回應。請讀取原始自有資產及其完全相符的簽署內容 URL；切勿重新提交結果不明的建立請求。"
            },
            "outputs": {
              "all_results": "保留完整回應與標頭、所有實際輸出、原始回傳的識別碼，以及所有用量欄位。恢復原始作業時，請勿再次提交建立請求。",
              "family": "rerank",
              "fields": [
                {
                  "description": "已設定的 Source 取用端所要求的確切回應模型。",
                  "name": "model",
                  "type": "string"
                },
                {
                  "description": "原始輸入文件的唯一索引。",
                  "name": "results[].index",
                  "type": "integer"
                },
                {
                  "description": "有限值的相關性分數。",
                  "name": "results[].relevance_score",
                  "type": "number"
                },
                {
                  "description": "此已設定的回應取用端所需的原始文字文件。",
                  "name": "results[].document",
                  "type": "string"
                },
                {
                  "description": "目前已接受費率所要求的有限且非負原生詞元數。",
                  "name": "usage.total_tokens",
                  "type": "integer"
                }
              ],
              "result": "完整的原始原生 JSON 結果，含已設定的回應模型、原始文件索引、相關性分數、文件字串與原生詞元用量。請保留每個實際結果與用量欄位。"
            },
            "parameters": [
              {
                "default_known": false,
                "enum": [
                  "jina-reranker-v2-base-multilingual"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "query",
                "required": false,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "documents",
                "required": true,
                "type": "array"
              }
            ],
            "request_schema": {
              "properties": {
                "documents": {
                  "items": {
                    "type": "string"
                  },
                  "minItems": 1,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "jina-reranker-v2-base-multilingual"
                  ],
                  "type": "string"
                },
                "query": {
                  "type": "string"
                }
              },
              "required": [
                "model",
                "documents"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "documents": "${ACTUAL_DOCUMENTS}",
                "model": "jina-reranker-v2-base-multilingual",
                "query": "${ACTUAL_QUERY}"
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "content_type": "application/json",
            "material_conditions": [
              "請設定實際查詢內容，並提供包含原始文字文件的非空陣列。結果索引會指向該原始陣列。"
            ],
            "material_types": [
              "text"
            ],
            "required": [
              "model",
              "documents"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed content URL"
              }
            ],
            "dedicated_method_polling_or_cancel": false,
            "mode": "synchronous_result_then_owned_library",
            "original_POST_adds_task_envelope": false,
            "status": [],
            "unknown": "Retain the actual X-Client-Request-ID and complete response. Read the original owned assets and their exact signed content URLs; never resubmit an uncertain creation."
          },
          "method": {
            "http": "POST",
            "path": "/v1/rerank"
          },
          "output": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "family": "rerank",
            "fields": [
              {
                "description": "Exact response model required by the configured Source consumer.",
                "name": "model",
                "type": "string"
              },
              {
                "description": "Unique original input document index.",
                "name": "results[].index",
                "type": "integer"
              },
              {
                "description": "Finite relevance score.",
                "name": "results[].relevance_score",
                "type": "number"
              },
              {
                "description": "Original text document required by this configured response consumer.",
                "name": "results[].document",
                "type": "string"
              },
              {
                "description": "Finite nonnegative native token count required by the current accepted tariff.",
                "name": "usage.total_tokens",
                "type": "integer"
              }
            ],
            "result": "Complete original native JSON result with the configured response model, original document indices, relevance scores, document strings and native token usage. Retain every actual result and usage field."
          }
        },
        "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 tokens"
            },
            "label": "total token",
            "units": [
              {
                "amount": "0.0001000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "total_token",
                "label": "total token",
                "native_amount_usd_per_unit": "0.0000001",
                "native_quantity": 1,
                "native_unit": "total_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "total_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_QUERY:?Set the actual documented input value}\"\nexport AILOOT_QUERY\n: \"${AILOOT_DOCUMENTS_JSON:?Set the actual documented input value}\"\nexport AILOOT_DOCUMENTS_JSON\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\nrequest={'model': 'jina-reranker-v2-base-multilingual', 'query': '${ACTUAL_QUERY}', 'documents': '${ACTUAL_DOCUMENTS}'}\nrequest['query']=os.environ['AILOOT_QUERY']\nrequest['documents']=json.loads(os.environ['AILOOT_DOCUMENTS_JSON'])\nPath('request.json').write_text(json.dumps(request,ensure_ascii=False),encoding='utf-8')\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/rerank \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o response.bin\n# Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.\n",
            "label": "Use actual input and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "rerank",
        "hints": [
          "Set your actual query and nonempty array of original text documents. Result indices refer to that original array.",
          "The minimum example omits top_n, return_documents, instruct and other optional controls.",
          "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "text"
        ],
        "label": "重新排序",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "native_endpoint": "rerank",
        "out": null,
        "output": [
          "rerank"
        ],
        "path": "/v1/rerank",
        "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": {
            "total_token": 1e-07
          }
        },
        "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 tokens"
            },
            "label": "total token",
            "units": [
              {
                "amount": "0.0001000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "total_token",
                "label": "total token",
                "native_amount_usd_per_unit": "0.0000001",
                "native_quantity": 1,
                "native_unit": "total_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "total_token"
              }
            ]
          }
        ],
        "request_model_id": "jina-reranker-v2-base-multilingual",
        "route_label": "Ultra",
        "status_reads": [],
        "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": "0.0001000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "total_token",
            "label": "total token",
            "native_amount_usd_per_unit": "0.0000001",
            "native_quantity": 1,
            "native_unit": "total_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "total_token"
          }
        ]
      }
    ],
    "model_aliases": [
      {
        "canonical_model_id": "jina-reranker-v2-base-multilingual",
        "request_model_id": "jina-reranker-v2-base-multilingual",
        "route_label": "Ultra"
      }
    ],
    "name": "jina-reranker-v2-base-multilingual",
    "price": {
      "in": null,
      "in_label": null,
      "out": null,
      "out_label": null,
      "sort_in": null,
      "sort_out": null,
      "varies": true
    },
    "short": "Jina Reranker v2 Base Multilingual 會對查詢與候選文字評分，並依相關性排序。其交叉編碼器可處理多語言檢索；開發商的重排輔助函式則依 1,024 token 模型視窗，將較長文件分塊。"
  },
  "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": "Jina Reranker v2 Base Multilingual 會對查詢與候選文字評分，並依相關性排序。其交叉編碼器可處理多語言檢索；開發商的重排輔助函式則依 1,024 token 模型視窗，將較長文件分塊。",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "51364d9ff0802f49796c1096522cf35d25ae89cb7120a3b47f502bd6b784f3ee",
    "renderer_sha256": "13a3fc1b22d07359278e2249d630bfc9bb9e6416c71ba53def933fb5a903660b"
  },
  "sourceRevision": "a31df0cef9bec6ae4b961e37004be66e4f8cf47eaa52dbdcc81442a0338b4445"
}