{ "name": "长字幕反思翻译机器人", "intro": "利用 AI 自我反思提升翻译质量，同时循环迭代执行 AI 工作流来突破 LLM tokens 限制，实现一个高效的长字幕翻译机器人", "author": "", "avatar": "/appMarketTemplates/TranslateRobot/avatar.svg", "tags": ["office-services"], "type": "advanced", "workflow": { "nodes": [ { "nodeId": "userGuide", "name": "系统配置", "intro": "可以配置应用的系统参数", "avatar": "core/workflow/template/systemConfig", "flowNodeType": "userGuide", "position": { "x": -1453.0815298642474, "y": 269.10239463914263 }, "version": "481", "inputs": [ { "key": "welcomeText", "renderTypeList": ["hidden"], "valueType": "string", "label": "core.app.Welcome Text", "value": "" }, { "key": "variables", "renderTypeList": ["hidden"], "valueType": "any", "label": "core.app.Chat Variable", "value": [] }, { "key": "questionGuide", "valueType": "any", "renderTypeList": ["hidden"], "label": "core.app.Question Guide", "value": { "open": false } }, { "key": "tts", "renderTypeList": ["hidden"], "valueType": "any", "label": "", "value": { "type": "web" } }, { "key": "whisper", "renderTypeList": ["hidden"], "valueType": "any", "label": "", "value": { "open": false, "autoSend": false, "autoTTSResponse": false } }, { "key": "scheduleTrigger", "renderTypeList": ["hidden"], "valueType": "any", "label": "", "value": null } ], "outputs": [] }, { "nodeId": "448745", "name": "流程开始", "intro": "", "avatar": "core/workflow/template/workflowStart", "flowNodeType": "workflowStart", "position": { "x": -1491.3235962441404, "y": 1277.8094190109027 }, "version": "481", "inputs": [ { "key": "userChatInput", "renderTypeList": ["reference", "textarea"], "valueType": "string", "label": "用户问题", "required": true, "toolDescription": "用户问题" } ], "outputs": [ { "id": "userChatInput", "key": "userChatInput", "label": "common:core.module.input.label.user question", "type": "static", "valueType": "string" } ] }, { "nodeId": "yjFO3YcM7KG2", "name": "LLM 翻译", "intro": "AI 大模型对话", "avatar": "core/workflow/template/aiChat", "flowNodeType": "chatNode", "showStatus": true, "position": { "x": 2584.1800627074813, "y": 962.3727118784907 }, "version": "481", "inputs": [ { "key": "model", "renderTypeList": ["settingLLMModel", "reference"], "label": "core.module.input.label.aiModel", "valueType": "string", "selectedTypeIndex": 0, "value": "gpt-4o" }, { "key": "temperature", "renderTypeList": ["hidden"], "label": "", "value": 3, "valueType": "number", "min": 0, "max": 10, "step": 1 }, { "key": "maxToken", "renderTypeList": ["hidden"], "label": "", "value": 2000, "valueType": "number", "min": 100, "max": 4000, "step": 50 }, { "key": "isResponseAnswerText", "renderTypeList": ["hidden"], "label": "", "value": false, "valueType": "boolean" }, { "key": "quoteTemplate", "renderTypeList": ["hidden"], "label": "", "valueType": "string" }, { "key": "quotePrompt", "renderTypeList": ["hidden"], "label": "", "valueType": "string" }, { "key": "aiChatVision", "renderTypeList": ["hidden"], "label": "", "valueType": "boolean", "value": true }, { "key": "systemPrompt", "renderTypeList": ["textarea", "reference"], "max": 3000, "valueType": "string", "label": "core.ai.Prompt", "description": "core.app.tip.systemPromptTip", "placeholder": "core.app.tip.chatNodeSystemPromptTip", "value": "# Role: 资深字幕翻译专家\n\n## Background:\n你是一位经验丰富的{{source_lang}}和{{target_lang}}字幕翻译专家,精通{{source_lang}}和{{target_lang}}互译,尤其擅长将{{source_lang}}字幕译成流畅易懂的{{target_lang}}字幕。你曾多次带领团队完成大型商业电影的字幕翻译项目,所翻译的字幕广受好评。\n\n## Attention:\n- 翻译过程中要始终坚持\"信、达、雅\"的原则,但\"达\"尤为重要\n- 翻译的字幕要符合{{target_lang}}的表达习惯,通俗易懂,连贯流畅\n- 避免使用过于文绉绉的表达和晦涩难懂的典故引用 \n- 诗词歌词等内容需按原文换行和节奏分行,不破坏原排列格式 \n- 翻译对象是字幕，请进入整段文本的语境中对需要翻译的文本段进行翻译\n- 是标识每一帧字幕的标签,请严格按照对文本的分割逐帧翻译\n\n## Constraints:\n- 必须严格遵循四轮翻译流程:直译、意译、反思、提升\n- 译文要忠实原文,准确无误,不能遗漏或曲解原意\n- 最终译文使用Markdown的代码块呈现,但是不用输出markdown这个单词\n- 是标识每一帧字幕的标签,请严格按照对文本的分割逐帧翻译，每一帧字幕末尾不要加\\n 回车标识，且第一帧字幕开头不需要加标识\n\n## Goals:\n- 通过四轮翻译流程,将{{source_lang}}字幕译成高质量的{{target_lang}}字幕\n- 翻译的字幕要准确传达原字幕意思,语言表达力求浅显易懂,朗朗上口 \n\n## Workflow:\n1. 第一轮直译:严格按照逐句翻译,不遗漏任何信息\n2. 第二轮意译:在直译的基础上用通俗流畅的{{target_lang}}意译原文,逐句翻译,保留标识标签\n3. 第三轮反思:仔细审视译文,分点列出一份建设性的批评和有用的建议清单以改进翻译，对每一句话提出建议，从以下四个角度展开\n (i) 准确性（纠正添加、误译、遗漏或未翻译的文本错误），\n (ii) 流畅性（应用{{target_lang}}的语法、拼写和标点规则，并确保没有不必要的重复），\n (iii) 风格（确保翻译反映源文本的风格并考虑其文化背景），\n (iv) 术语（确保术语使用一致且反映源文本所在领域，注意确保使用{{target_lang}}中的等效习语）\n4. 第四轮提升:严格遵循第三轮提出的建议对翻译修改,定稿出一个简洁畅达、符合大众观影习惯的字幕译文,保留标识标签\n\n## OutputFormat:\n- 每一轮前用【思考】说明该轮要点\n- 第一轮和第二轮翻译后用【翻译】呈现译文\n- 第三轮输出建议清单，分点列出，在每一点前用*xxx*标识这条建议对应的要点，如*风格*;建议前用【思考】说明该轮要点，建议后用【建议】呈现建议\n- 第四轮在\\`\\`\\`代码块中展示最终{{target_lang}}字幕文件内容，如\\`\\`\\`xxx\\`\\`\\`\n\n## Suggestions:\n- 直译时力求忠实原文,但注意控制每帧字幕的字数,必要时进行精简压缩\n- 意译时在准确表达原意的基础上,用最朴实无华的{{target_lang}}来表达\n- 反思环节重点关注译文是否符合{{target_lang}}表达习惯,是否通俗易懂,是否准确流畅,是否术语一致\n- 提升环节采用反思环节的建议对意译环节的翻译进行修改，适度采用一些口语化的表达、网络流行语等,增强字幕的亲和力\n- 注意是很重要的标识标签，请确保标签能在正确位置输出" }, { "key": "history", "renderTypeList": ["numberInput", "reference"], "valueType": "chatHistory", "label": "core.module.input.label.chat history", "description": "最多携带多少轮对话记录", "required": true, "min": 0, "max": 50, "value": 6 }, { "key": "quoteQA", "renderTypeList": ["settingDatasetQuotePrompt"], "label": "", "debugLabel": "知识库引用", "description": "", "valueType": "datasetQuote" }, { "key": "stringQuoteText", "renderTypeList": ["reference", "textarea"], "label": "app:document_quote", "debugLabel": "app:document_quote", "description": "app:document_quote_tip", "valueType": "string" }, { "key": "userChatInput", "renderTypeList": ["reference", "textarea"], "valueType": "string", "label": "用户问题", "required": true, "toolDescription": "用户问题", "value": ["bxz97Vg4Omux", "system_text"] } ], "outputs": [ { "id": "history", "key": "history", "required": true, "label": "core.module.output.label.New context", "description": "core.module.output.description.New context", "valueType": "chatHistory", "type": "static" }, { "id": "answerText", "key": "answerText", "required": true, "label": "core.module.output.label.Ai response content", "description": "core.module.output.description.Ai response content", "valueType": "string", "type": "static" } ] }, { "nodeId": "bxz97Vg4Omux", "name": "LLM 翻译提示词", "intro": "可对固定或传入的文本进行加工后输出，非字符串类型数据最终会转成字符串类型。", "avatar": "core/workflow/template/textConcat", "flowNodeType": "textEditor", "position": { "x": 1881.9891746911078, "y": 1112.4113692581143 }, "version": "486", "inputs": [ { "key": "system_addInputParam", "renderTypeList": ["addInputParam"], "valueType": "dynamic", "label": "", "required": false, "description": "可以引用其他节点的输出，作为文本拼接的变量，通过 {{字段名}} 来引用变量", "customInputConfig": { "selectValueTypeList": [ "string", "number", "boolean", "object", "arrayString", "arrayNumber", "arrayBoolean", "arrayObject", "any", "chatHistory", "datasetQuote", "dynamic", "selectApp", "selectDataset" ], "showDescription": false, "showDefaultValue": false } }, { "key": "system_textareaInput", "renderTypeList": ["textarea"], "valueType": "string", "required": true, "label": "拼接文本", "placeholder": "可通过 {{字段名}} 来引用变量", "value": "你的任务是将文本从{{source_lang}}翻译成{{target_lang}}\n\n源文本如下,由XML标签和分隔:\n\n\n\n{{tagged_text}}\n\n\n\n仅翻译源文本中由和分隔的部分,将其余的源文本作为上下文\n\n重申一下,你应该只翻译文本的这一部分,这里再次显示在和之间:\n\n\n\n{{chunk_to_translate}}\n\n" }, { "renderTypeList": ["reference"], "valueType": "string", "canEdit": true, "key": "tagged_text", "label": "tagged_text", "customInputConfig": { "selectValueTypeList": [ "string", "number", "boolean", "object", "arrayString", "arrayNumber", "arrayBoolean", "arrayObject", "any", "chatHistory", "datasetQuote", "dynamic", "selectApp", "selectDataset" ], "showDescription": false, "showDefaultValue": false }, "required": true, "value": ["quYZgsW32ApA", "xhXu6sdEWBnF"] }, { "renderTypeList": ["reference"], "valueType": "string", "canEdit": true, "key": "chunk_to_translate", "label": "chunk_to_translate", "customInputConfig": { "selectValueTypeList": [ "string", "number", "boolean", "object", "arrayString", "arrayNumber", "arrayBoolean", "arrayObject", "any", "chatHistory", "datasetQuote", "dynamic", "selectApp", "selectDataset" ], "showDescription": false, "showDefaultValue": false }, "required": true, "value": ["quYZgsW32ApA", "eCp73lztAEGK"] } ], "outputs": [ { "id": "system_text", "key": "system_text", "label": "拼接结果", "type": "static", "valueType": "string" } ] }, { "nodeId": "w4heEpNflz59", "name": "判断是否执行结束", "intro": "根据一定的条件，执行不同的分支。", "avatar": "core/workflow/template/ifelse", "flowNodeType": "ifElseNode", "showStatus": true, "position": { "x": 5610.256715310997, "y": 1232.1024649538042 }, "version": "481", "inputs": [ { "key": "ifElseList", "renderTypeList": ["hidden"], "valueType": "any", "label": "", "value": [ { "condition": "AND", "list": [ { "variable": ["a2lqxASWi1vb", "nmBmGaARbKkl"], "condition": "equalTo", "value": "true" } ] } ] } ], "outputs": [ { "id": "ifElseResult", "key": "ifElseResult", "label": "判断结果", "valueType": "string", "type": "static" } ] }, { "nodeId": "a2lqxASWi1vb", "name": "判断是否执行结束", "intro": "执行一段简单的脚本代码，通常用于进行复杂的数据处理。", "avatar": "core/workflow/template/codeRun", "flowNodeType": "code", "showStatus": true, "position": { "x": 5068.150809685475, "y": 940.8168438455639 }, "version": "482", "inputs": [ { "key": "system_addInputParam", "renderTypeList": ["addInputParam"], "valueType": "dynamic", "label": "", "required": false, "description": "这些变量会作为代码的运行的输入参数", "customInputConfig": { "selectValueTypeList": [ "string", "number", "boolean", "object", "arrayString", "arrayNumber", "arrayBoolean", "arrayObject", "any", "chatHistory", "datasetQuote", "dynamic", "selectApp", "selectDataset" ], "showDescription": false, "showDefaultValue": true } }, { "key": "codeType", "renderTypeList": ["hidden"], "label": "", "value": "js" }, { "key": "code", "renderTypeList": ["custom"], "label": "", "value": "function main({chunks, currentChunk}){\n const findIndex = chunks.findIndex((item) => item === currentChunk)\n\n return {\n isEnd: chunks.length-1 === findIndex,\n i: findIndex + 1,\n }\n}" }, { "renderTypeList": ["reference"], "valueType": "arrayString", "canEdit": true, "key": "chunks", "label": "chunks", "customInputConfig": { "selectValueTypeList": [ "string", "number", "boolean", "object", "arrayString", "arrayNumber", "arrayBoolean", "arrayObject", "any", "chatHistory", "datasetQuote", "dynamic", "selectApp", "selectDataset" ], "showDescription": false, "showDefaultValue": true }, "required": true, "value": ["y3WEYOQ09CGC", "qLUQfhG0ILRX"] }, { "renderTypeList": ["reference"], "valueType": "string", "canEdit": true, "key": "currentChunk", "label": "currentChunk", "customInputConfig": { "selectValueTypeList": [ "string", "number", "boolean", "object", "arrayString", "arrayNumber", "arrayBoolean", "arrayObject", "any", "chatHistory", "datasetQuote", "dynamic", "selectApp", "selectDataset" ], "showDescription": false, "showDefaultValue": true }, "required": true, "value": ["quYZgsW32ApA", "eCp73lztAEGK"] } ], "outputs": [ { "id": "system_rawResponse", "key": "system_rawResponse", "label": "完整响应数据", "valueType": "object", "type": "static" }, { "id": "error", "key": "error", "label": "运行错误", "description": "代码运行错误信息，成功时返回空", "valueType": "object", "type": "static" }, { "id": "system_addOutputParam", "key": "system_addOutputParam", "type": "dynamic", "valueType": "dynamic", "label": "", "customFieldConfig": { "selectValueTypeList": [ "string", "number", "boolean", "object", "arrayString", "arrayNumber", "arrayBoolean", "arrayObject", "any", "chatHistory", "datasetQuote", "dynamic", "selectApp", "selectDataset" ], "showDescription": false, "showDefaultValue": false }, "description": "将代码中 return 的对象作为输出，传递给后续的节点。变量名需要对应 return 的 key" }, { "id": "nmBmGaARbKkl", "valueType": "boolean", "type": "dynamic", "key": "isEnd", "label": "isEnd" }, { "id": "nqB98uKpq6Ig", "valueType": "number", "type": "dynamic", "key": "i", "label": "i" } ] }, { "nodeId": "quYZgsW32ApA", "name": "格式化源文本块", "intro": "执行一段简单的脚本代码，通常用于进行复杂的数据处理。", "avatar": "core/workflow/template/codeRun", "flowNodeType": "code", "showStatus": true, "position": { "x": 1306.0466226590386, "y": 1038.0950796039954 }, "version": "482", "inputs": [ { "key": "system_addInputParam", "renderTypeList": ["addInputParam"], "valueType": "dynamic", "label": "", "required": false, "description": "这些变量会作为代码的运行的输入参数", "customInputConfig": { "selectValueTypeList": [ "string", "number", "boolean", "object", "arrayString", "arrayNumber", "arrayBoolean", "arrayObject", "any", "chatHistory", "datasetQuote", "dynamic", "selectApp", "selectDataset" ], "showDescription": false, "showDefaultValue": true } }, { "key": "codeType", "renderTypeList": ["hidden"], "label": "", "value": "js" }, { "key": "code", "renderTypeList": ["custom"], "label": "", "value": "function main({source_text_chunks, i=0}){\n let before = source_text_chunks.slice(0, i).join(\"\");\n let current = \" \" + source_text_chunks[i] + \"\";\n let after = source_text_chunks.slice(i + 1).join(\"\");\n let tagged_text = before + current + after;\n\n return {\n tagged_text,\n chunk_to_translate: source_text_chunks[i],\n }\n}" }, { "renderTypeList": ["reference"], "valueType": "number", "canEdit": true, "key": "i", "label": "i", "customInputConfig": { "selectValueTypeList": [ "string", "number", "boolean", "object", "arrayString", "arrayNumber", "arrayBoolean", "arrayObject", "any", "chatHistory", "datasetQuote", "dynamic", "selectApp", "selectDataset" ], "showDescription": false, "showDefaultValue": true }, "required": true, "value": ["a2lqxASWi1vb", "nqB98uKpq6Ig"] }, { "renderTypeList": ["reference"], "valueType": "arrayString", "canEdit": true, "key": "source_text_chunks", "label": "source_text_chunks", "customInputConfig": { "selectValueTypeList": [ "string", "number", "boolean", "object", "arrayString", "arrayNumber", "arrayBoolean", "arrayObject", "any", "chatHistory", "datasetQuote", "dynamic", "selectApp", "selectDataset" ], "showDescription": false, "showDefaultValue": true }, "required": true, "value": ["y3WEYOQ09CGC", "qLUQfhG0ILRX"] } ], "outputs": [ { "id": "system_rawResponse", "key": "system_rawResponse", "label": "完整响应数据", "valueType": "object", "type": "static" }, { "id": "error", "key": "error", "label": "运行错误", "description": "代码运行错误信息，成功时返回空", "valueType": "object", "type": "static" }, { "id": "system_addOutputParam", "key": "system_addOutputParam", "type": "dynamic", "valueType": "dynamic", "label": "", "customFieldConfig": { "selectValueTypeList": [ "string", "number", "boolean", "object", "arrayString", "arrayNumber", "arrayBoolean", "arrayObject", "any", "chatHistory", "datasetQuote", "dynamic", "selectApp", "selectDataset" ], "showDescription": false, "showDefaultValue": false }, "description": "将代码中 return 的对象作为输出，传递给后续的节点。变量名需要对应 return 的 key" }, { "id": "xhXu6sdEWBnF", "valueType": "string", "type": "dynamic", "key": "tagged_text", "label": "tagged_text" }, { "id": "eCp73lztAEGK", "valueType": "string", "type": "dynamic", "key": "chunk_to_translate", "label": "chunk_to_translate" } ] }, { "nodeId": "izsNX8FXGD1t", "name": "指定回复", "intro": "该模块可以直接回复一段指定的内容。常用于引导、提示。非字符串内容传入时，会转成字符串进行输出。", "avatar": "core/workflow/template/reply", "flowNodeType": "answerNode", "position": { "x": 6412.138830862469, "y": 1235.7269544046057 }, "version": "481", "inputs": [ { "key": "text", "renderTypeList": ["textarea", "reference"], "valueType": "any", "required": true, "label": "core.module.input.label.Response content", "description": "core.module.input.description.Response content", "placeholder": "core.module.input.description.Response content", "value": "\n\n*** 字幕反思翻译完成！***" } ], "outputs": [] }, { "nodeId": "vlNHndpNuFXB", "name": "取出 LLM 翻译第四轮文本", "intro": "执行一段简单的脚本代码，通常用于进行复杂的数据处理。", "avatar": "core/workflow/template/codeRun", "flowNodeType": "code", "showStatus": true, "position": { "x": 3292.3569279448307, "y": 996.4264559884845 }, "version": "482", "inputs": [ { "key": "system_addInputParam", "renderTypeList": ["addInputParam"], "valueType": "dynamic", "label": "", "required": false, "description": "这些变量会作为代码的运行的输入参数", "editField": { "key": true, "valueType": true }, "customInputConfig": { "selectValueTypeList": [ "string", "number", "boolean", "object", "arrayString", "arrayNumber", "arrayBoolean", "arrayObject", "any", "chatHistory", "datasetQuote", "dynamic", "selectApp", "selectDataset" ], "showDescription": false, "showDefaultValue": true } }, { "key": "codeType", "renderTypeList": ["hidden"], "label": "", "value": "js" }, { "key": "code", "renderTypeList": ["custom"], "label": "", "value": "function main({data1}){\n const result = data1.split(\"```\").filter(item => !!item.trim())\n\n if(result[result.length-1]) {\n return {\n result: result[result.length-1].trim() \n }\n }\n\n return {\n result: '未截取到翻译内容'\n }\n}" }, { "key": "data1", "valueType": "string", "label": "data1", "renderTypeList": ["reference"], "description": "", "canEdit": true, "editField": { "key": true, "valueType": true }, "value": ["yjFO3YcM7KG2", "answerText"], "customInputConfig": { "selectValueTypeList": [ "string", "number", "boolean", "object", "arrayString", "arrayNumber", "arrayBoolean", "arrayObject", "any", "chatHistory", "datasetQuote", "dynamic", "selectApp", "selectDataset" ], "showDescription": false, "showDefaultValue": true } } ], "outputs": [ { "id": "system_rawResponse", "key": "system_rawResponse", "label": "完整响应数据", "valueType": "object", "type": "static" }, { "id": "error", "key": "error", "label": "运行错误", "description": "代码运行错误信息，成功时返回空", "valueType": "object", "type": "static" }, { "id": "system_addOutputParam", "key": "system_addOutputParam", "type": "dynamic", "valueType": "dynamic", "label": "", "customFieldConfig": { "selectValueTypeList": [ "string", "number", "boolean", "object", "arrayString", "arrayNumber", "arrayBoolean", "arrayObject", "any", "chatHistory", "datasetQuote", "dynamic", "selectApp", "selectDataset" ], "showDescription": false, "showDefaultValue": false }, "description": "将代码中 return 的对象作为输出，传递给后续的节点。变量名需要对应 return 的 key" }, { "id": "qLUQfhG0ILRX", "type": "dynamic", "key": "result", "valueType": "string", "label": "result" }, { "id": "gR0mkQpJ4Og8", "type": "dynamic", "key": "data2", "valueType": "string", "label": "data2" } ] }, { "nodeId": "qlt9KJbbS9yJ", "name": "判断源语言和目标语言是否相同", "intro": "根据一定的条件，执行不同的分支。", "avatar": "core/workflow/template/ifelse", "flowNodeType": "ifElseNode", "showStatus": true, "position": { "x": -646.0682391158168, "y": 1352.6591494737195 }, "version": "481", "inputs": [ { "key": "ifElseList", "renderTypeList": ["hidden"], "valueType": "any", "label": "", "value": [ { "condition": "AND", "list": [ { "variable": ["frjbsrlnJJsR", "qLUQfhG0ILRX"], "condition": "equalTo", "value": "false" } ] } ] } ], "outputs": [ { "id": "ifElseResult", "key": "ifElseResult", "label": "判断结果", "valueType": "string", "type": "static" } ] }, { "nodeId": "frjbsrlnJJsR", "name": "判断源语言和目标语言是否相同", "intro": "执行一段简单的脚本代码，通常用于进行复杂的数据处理。", "avatar": 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