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* Dashboard submenu (#4545) * add app submenu (#4452) * add app submenu * fix * width & i18n * optimize submenu code (#4515) * optimize submenu code * fix * fix * fix * fix ts * perf: dashboard sub menu * doc --------- Co-authored-by: heheer <heheer@sealos.io> * feat: value format test * doc * Mcp export (#4555) * feat: mcp server * feat: mcp server * feat: mcp server build * update doc * perf: path selector (#4556) * perf: path selector * fix: docker file path * perf: add image endpoint to dataset search (#4557) * perf: add image endpoint to dataset search * fix: mcp_server url * human in loop (#4558) * Support interactive nodes for loops, and enhance the function of merging nested and loop node history messages. (#4552) * feat: add LoopInteractive definition * feat: Support LoopInteractive type and update related logic * fix: Refactor loop handling logic and improve output value initialization * feat: Add mergeSignId to dispatchLoop and dispatchRunAppNode responses * feat: Enhance mergeChatResponseData to recursively merge plugin details and improve response handling * refactor: Remove redundant comments in mergeChatResponseData for clarity * perf: loop interactive * perf: human in loop --------- Co-authored-by: Theresa <63280168+sd0ric4@users.noreply.github.com> * mcp server ui * integrate mcp (#4549) * integrate mcp * delete unused code * fix ts * bug fix * fix * support whole mcp tools * add try catch * fix * fix * fix ts * fix test * fix ts * fix: interactive in v1 completions * doc * fix: router path * fix mcp integrate (#4563) * fix mcp integrate * fix ui * fix: mcp ux * feat: mcp call title * remove repeat loading * fix mcp tools avatar (#4564) * fix * fix avatar * fix update version * update doc * fix: value format * close server and remove cache * perf: avatar --------- Co-authored-by: heheer <heheer@sealos.io> Co-authored-by: Theresa <63280168+sd0ric4@users.noreply.github.com>
50 lines
1.6 KiB
JSON
50 lines
1.6 KiB
JSON
{
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"ai_model": "AI 模型",
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"all": "所有",
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"app_name": "應用程式名",
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"auto_index": "索引增強",
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"billing_module": "扣費模組",
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"confirm_export": "共篩選出 {{total}} 條資料,是否確認匯出?",
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"current_filter_conditions": "目前篩選條件:",
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"dashboard": "儀表板",
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"details": "詳細資訊",
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"dingtalk": "釘釘",
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"duration_seconds": "時長(秒)",
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"embedding_index": "索引生成",
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"every_day": "天",
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"every_month": "月",
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"export_confirm": "匯出確認",
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"export_confirm_tip": "目前共 {{total}} 筆使用記錄,確認匯出?",
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"export_title": "時間,成員,類型,項目名,AI 積分消耗",
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"feishu": "飛書",
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"generation_time": "生成時間",
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"image_parse": "圖片標註",
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"input_token_length": "輸入 tokens",
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"mcp": "MCP 調用",
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"member": "成員",
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"member_name": "成員名",
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"module_name": "模組名",
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"month": "月",
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"no_usage_records": "暫無使用紀錄",
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"official_account": "公眾號",
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"order_number": "訂單編號",
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"output_token_length": "輸出 tokens",
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"pages": "頁數",
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"pdf_enhanced_parse": "PDF 增強解析",
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"pdf_parse": "PDF 解析",
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"points": "積分",
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"project_name": "專案名",
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"qa": "問答對提取",
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"select_member_and_source_first": "請先選取成員和類型",
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"share": "分享連結",
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"source": "來源",
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"text_length": "文字長度",
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"token_length": "token 長度",
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"total_points": "AI 積分消耗",
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"total_points_consumed": "AI 積分消耗",
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"total_usage": "總消耗",
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"usage_detail": "使用詳細資訊",
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"user_type": "類型",
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"wecom": "企業微信"
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}
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