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Feat: Workflow loop node;feat: support openai o1;perf: query extension prompt;fix: intro was not delivered when the datase was created (#2719)
* feat: loop node (#2675) * loop node frontend * loop-node * fix-code * fix version * fix * fix * fix * perf: loop array code * perf: get histories error tip * feat: support openai o1 * perf: query extension prompt * feat: 4811 doc * remove log * fix: loop node zindex & variable picker type (#2710) * perf: performance * perf: workflow performance * remove uninvalid code * perf:code * fix: invoice table refresh * perf: loop node data type * fix: loop node store assistants * perf: target connection * feat: loop node support help line * perf: add default icon --------- Co-authored-by: heheer <heheer@sealos.io>
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@@ -552,7 +552,11 @@
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"search using reRank": "Result Re-Rank",
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"text output": "Text Output",
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"update_var_result": "Variable Update Result (Displays Multiple Variable Update Results in Order)",
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"user_select_result": "User Selection Result"
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"user_select_result": "User Selection Result",
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"loop_input": "Loop Input Array",
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"loop_output": "Loop Output Array",
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"loop_input_element": "Loop Input Element",
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"loop_output_element": "Loop Output Element"
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},
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"retry": "Regenerate",
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"tts": {
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@@ -1,10 +1,12 @@
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{
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"Array_element": "Array element",
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"Code": "Code",
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"about_xxx_question": "Question regarding xxx",
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"add_new_input": "Add New Input",
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"append_application_reply_to_history_as_new_context": "Append the application's reply to the history as new context",
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"application_call": "Application Call",
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"assigned_reply": "Assigned Reply",
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"can_not_loop": "This node can't loop.",
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"choose_another_application_to_call": "Select another application to call",
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"classification_result": "Classification Result",
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"code": {
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@@ -88,6 +90,8 @@
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"length_not_equal_to": "Length Not Equal To",
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"less_than": "Less Than",
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"less_than_or_equal_to": "Less Than or Equal To",
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"loop": "Batch execution",
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"loop_start_tip": "Not input array",
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"max_dialog_rounds": "Maximum Number of Dialog Rounds",
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"max_tokens": "Maximum Tokens",
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"mouse_priority": "Mouse first",
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@@ -552,7 +552,11 @@
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"search using reRank": "结果重排",
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"text output": "文本输出",
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"update_var_result": "变量更新结果(按顺序展示多个变量更新结果)",
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"user_select_result": "用户选择结果"
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"user_select_result": "用户选择结果",
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"loop_input": "输入数组",
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"loop_output": "输出数组",
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"loop_input_element": "输入数组元素",
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"loop_output_element": "输出数组元素"
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},
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"retry": "重新生成",
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"tts": {
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@@ -1,10 +1,12 @@
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{
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"Array_element": "数组元素",
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"Code": "代码",
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"about_xxx_question": "关于 xxx 的问题",
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"add_new_input": "新增输入",
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"append_application_reply_to_history_as_new_context": "将该应用回复内容拼接到历史记录中,作为新的上下文返回",
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"application_call": "应用调用",
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"assigned_reply": "指定回复",
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"can_not_loop": "该节点不支持循环嵌套",
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"choose_another_application_to_call": "选择一个其他应用进行调用",
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"classification_result": "分类结果",
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"code": {
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@@ -66,6 +68,7 @@
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"intro_http_request": "可以发出一个 HTTP 请求,实现更为复杂的操作(联网搜索、数据库查询等)",
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"intro_knowledge_base_search_merge": "可以将多个知识库搜索结果进行合并输出。使用 RRF 的合并方式进行最终排序输出。",
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"intro_laf_function_call": "可以调用Laf账号下的云函数。",
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"intro_loop": "可以输入一个数组,数组内元素将独立执行循环体,并将所有结果作为数组输出。",
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"intro_plugin_input": "可以配置插件需要哪些输入,利用这些输入来运行插件",
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"intro_question_classification": "根据用户的历史记录和当前问题判断该次提问的类型。可以添加多组问题类型,下面是一个模板例子:\n类型1: 打招呼\n类型2: 关于商品“使用”问题\n类型3: 关于商品“购买”问题\n类型4: 其他问题",
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"intro_question_optimization": "使用问题优化功能,可以提高知识库连续对话时搜索的精度。使用该功能后,会先利用 AI 根据上下文构建一个或多个新的检索词,这些检索词更利于进行知识库搜索。该模块已内置在知识库搜索模块中,如果您仅进行一次知识库搜索,可直接使用知识库内置的补全功能。",
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@@ -88,6 +91,13 @@
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"length_not_equal_to": "长度不等于",
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"less_than": "小于",
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"less_than_or_equal_to": "小于等于",
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"loop": "批量执行(测试)",
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"loop_body": "循环体",
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"loop_end": "循环体结束",
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"loop_input_array": "数组",
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"loop_result": "数组执行结果",
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"loop_start": "循环体开始",
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"loop_start_tip": "未输入数组",
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"max_dialog_rounds": "最多携带多少轮对话记录",
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"max_tokens": "最大 Tokens",
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"mouse_priority": "鼠标优先",
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