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ragflow/agent/templates/web_search_assistant.json
Jonah Hartmann 52ceac62ab Feat: add German translations for all agent templates and optimized line breaks for template titles (#10643) 
### What does this PR solve?
German translation for all agent template and optimizing line breaks in
the title for the new translation.

### Type of change
- [x] New Feature (non-breaking change which adds functionality)
2025-10-30 10:56:28 +08:00

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{
"id": 16,
"title": {
"en": "WebSearch Assistant",
"de": "Websuche Assistent",
"zh": "网页搜索助手"},
"description": {
"en": "A chat assistant template that integrates information extracted from a knowledge base and web searches to respond to queries. Let's start by setting up your knowledge base in 'Retrieval'!",
"de": "Eine Chat-Assistenten-Vorlage, die Informationen aus einer Wissensdatenbank und Websuchen integriert, um auf Anfragen zu antworten. Beginnen wir mit der Einrichtung Ihrer Wissensdatenbank unter 'Retrieval'!",
"zh": "集成了从知识库和网络搜索中提取的信息回答用户问题。让我们从设置您的知识库开始检索！"},
"canvas_type": "Other",
"dsl": {
"components": {
"Agent:SmartSchoolsCross": {
"downstream": [
"Message:ShaggyRingsCrash"
],
"obj": {
"component_name": "Agent",
"params": {
"delay_after_error": 1,
"description": "",
"exception_comment": "",
"exception_default_value": "",
"exception_goto": [],
"exception_method": null,
"frequencyPenaltyEnabled": false,
"frequency_penalty": 0.7,
"llm_id": "deepseek-chat@DeepSeek",
"maxTokensEnabled": false,
"max_retries": 3,
"max_rounds": 1,
"max_tokens": 256,
"mcp": [],
"message_history_window_size": 12,
"outputs": {
"content": {
"type": "string",
"value": ""
}
},
"presencePenaltyEnabled": false,
"presence_penalty": 0.4,
"prompts": [
{
"content": "User's query:\n{sys.query}\n\nRefined question:\n{Agent:ThreePathsDecide@content}\n\nWeb search result:\n{Agent:WildGoatsRule@content}\n\nRetrieval result:\n{Agent:WildGoatsRule@content}",
"role": "user"
}
],
"sys_prompt": "Role: You are an Answer Organizer.\nTask: Generate the answer based on the provided content from: User's query, Refined question, Web search result, Retrieval result.\n\nRequirements:\n - Answer should be in markdown format.\n - Answer should include all \n - Do not make thing up when there's no relevant information to user's question. \n",
"temperature": 0.1,
"temperatureEnabled": true,
"tools": [],
"topPEnabled": false,
"top_p": 0.3,
"user_prompt": "",
"visual_files_var": ""
}
},
"upstream": [
"Agent:WildGoatsRule",
"Retrieval:WarmTimesRun"
]
},
"Agent:ThreePathsDecide": {
"downstream": [
"Agent:WildGoatsRule",
"Retrieval:WarmTimesRun"
],
"obj": {
"component_name": "Agent",
"params": {
"delay_after_error": 1,
"description": "",
"exception_comment": "",
"exception_default_value": "",
"exception_goto": [],
"exception_method": null,
"frequencyPenaltyEnabled": false,
"frequency_penalty": 0.7,
"llm_id": "deepseek-chat@DeepSeek",
"maxTokensEnabled": false,
"max_retries": 3,
"max_rounds": 1,
"max_tokens": 256,
"mcp": [],
"message_history_window_size": 12,
"outputs": {
"content": {
"type": "string",
"value": ""
}
},
"presencePenaltyEnabled": false,
"presence_penalty": 0.4,
"prompts": [
{
"content": "{sys.query}",
"role": "user"
}
],
"sys_prompt": "Role: You are a Question Refinement Agent. Rewrite ambiguous or incomplete user questions to align with knowledge base terminology using conversation history.\n\nExample：\n\nUser: What's RAGFlow?\nAssistant: RAGFlow is xxx.\n\nUser: How to deloy it?\nRefine it: How to deploy RAGFlow?",
"temperature": 0.1,
"temperatureEnabled": true,
"tools": [],
"topPEnabled": false,
"top_p": 0.3,
"user_prompt": "",
"visual_files_var": ""
}
},
"upstream": [
"begin"
]
},
"Agent:WildGoatsRule": {
"downstream": [
"Agent:SmartSchoolsCross"
],
"obj": {
"component_name": "Agent",
"params": {
"delay_after_error": 1,
"description": "",
"exception_comment": "",
"exception_default_value": "",
"exception_goto": [],
"exception_method": null,
"frequencyPenaltyEnabled": false,
"frequency_penalty": 0.7,
"llm_id": "deepseek-chat@DeepSeek",
"maxTokensEnabled": false,
"max_retries": 3,
"max_rounds": 2,
"max_tokens": 256,
"mcp": [],
"message_history_window_size": 12,
"outputs": {
"content": {
"type": "string",
"value": ""
}
},
"presencePenaltyEnabled": false,
"presence_penalty": 0.4,
"prompts": [
{
"content": "User's query:\n{sys.query}\n\nRefined question:\n{Agent:ThreePathsDecide@content}",
"role": "user"
}
],
"sys_prompt": "Role: You are a Search-Driven Information Agent that answers questions using web search results.\n\nWorkflow:\nKeyword Extraction:\nExtract exactly 3 keywords from the user's question.\n\nKeywords must be:\n✅ Most specific nouns/proper nouns (e.g., \"iPhone 15 Pro\" not \"phone\")\n✅ Core concepts (e.g., \"quantum entanglement\" not \"science thing\")\n✅ Unbiased (no added opinions)\nNever output keywords to users\n\nSearch & Answer:\nUse search tools (TavilySearch, TavilyExtract, Google, Bing, DuckDuckGo, Wikipedia) with the 3 keywords to retrieve results.\nAnswer solely based on search findings, citing sources.\nIf results conflict, prioritize recent (.gov/.edu > forums)\n\nOutput Rules:\n✖️ Never show keywords in final answers\n✖️ Never guess if search yields no results\n✅ Always cite sources using [Source #] notation",
"temperature": 0.1,
"temperatureEnabled": true,
"tools": [
{
"component_name": "TavilySearch",
"name": "TavilySearch",
"params": {
"api_key": "",
"days": 7,
"exclude_domains": [],
"include_answer": false,
"include_domains": [],
"include_image_descriptions": false,
"include_images": false,
"include_raw_content": true,
"max_results": 5,
"outputs": {
"formalized_content": {
"type": "string",
"value": ""
},
"json": {
"type": "Array<Object>",
"value": []
}
},
"query": "sys.query",
"search_depth": "basic",
"topic": "general"
}
},
{
"component_name": "TavilyExtract",
"name": "TavilyExtract",
"params": {
"api_key": ""
}
},
{
"component_name": "Google",
"name": "Google",
"params": {
"api_key": "",
"country": "us",
"language": "en"
}
},
{
"component_name": "Bing",
"name": "Bing",
"params": {
"api_key": "YOUR_API_KEY (obtained from https://www.microsoft.com/en-us/bing/apis/bing-web-search-api)",
"channel": "Webpages",
"country": "CH",
"language": "en",
"top_n": 10
}
},
{
"component_name": "DuckDuckGo",
"name": "DuckDuckGo",
"params": {
"channel": "text",
"top_n": 10
}
},
{
"component_name": "Wikipedia",
"name": "Wikipedia",
"params": {
"language": "en",
"top_n": 10
}
}
],
"topPEnabled": false,
"top_p": 0.3,
"user_prompt": "",
"visual_files_var": ""
}
},
"upstream": [
"Agent:ThreePathsDecide"
]
},
"Message:ShaggyRingsCrash": {
"downstream": [],
"obj": {
"component_name": "Message",
"params": {
"content": [
"{Agent:SmartSchoolsCross@content}"
]
}
},
"upstream": [
"Agent:SmartSchoolsCross"
]
},
"Retrieval:WarmTimesRun": {
"downstream": [
"Agent:SmartSchoolsCross"
],
"obj": {
"component_name": "Retrieval",
"params": {
"cross_languages": [],
"empty_response": "",
"kb_ids": [],
"keywords_similarity_weight": 0.7,
"outputs": {
"formalized_content": {
"type": "string",
"value": ""
}
},
"query": "Agent:ThreePathsDecide@content",
"rerank_id": "",
"similarity_threshold": 0.2,
"top_k": 1024,
"top_n": 8,
"use_kg": false
}
},
"upstream": [
"Agent:ThreePathsDecide"
]
},
"begin": {
"downstream": [
"Agent:ThreePathsDecide"
],
"obj": {
"component_name": "Begin",
"params": {
"enablePrologue": true,
"inputs": {},
"mode": "conversational",
"prologue": "Hi! I'm your web search assistant. What do you want to search today?"
}
},
"upstream": []
}
},
"globals": {
"sys.conversation_turns": 1,
"sys.files": [],
"sys.query": "你好",
"sys.user_id": "d6d98fd652f911f0a8fb047c16ec874f"
},
"graph": {
"edges": [
{
"data": {
"isHovered": false
},
"id": "xy-edge__beginstart-Agent:ThreePathsDecideend",
"source": "begin",
"sourceHandle": "start",
"target": "Agent:ThreePathsDecide",
"targetHandle": "end"
},
{
"data": {
"isHovered": false
},
"id": "xy-edge__Agent:ThreePathsDecidestart-Agent:WildGoatsRuleend",
"source": "Agent:ThreePathsDecide",
"sourceHandle": "start",
"target": "Agent:WildGoatsRule",
"targetHandle": "end"
},
{
"data": {
"isHovered": false
},
"id": "xy-edge__Agent:ThreePathsDecidestart-Retrieval:WarmTimesRunend",
"source": "Agent:ThreePathsDecide",
"sourceHandle": "start",
"target": "Retrieval:WarmTimesRun",
"targetHandle": "end"
},
{
"data": {
"isHovered": false
},
"id": "xy-edge__Agent:WildGoatsRulestart-Agent:SmartSchoolsCrossend",
"source": "Agent:WildGoatsRule",
"sourceHandle": "start",
"target": "Agent:SmartSchoolsCross",
"targetHandle": "end"
},
{
"data": {
"isHovered": false
},
"id": "xy-edge__Agent:SmartSchoolsCrossstart-Message:ShaggyRingsCrashend",
"source": "Agent:SmartSchoolsCross",
"sourceHandle": "start",
"target": "Message:ShaggyRingsCrash",
"targetHandle": "end"
},
{
"data": {
"isHovered": false
},
"id": "xy-edge__Retrieval:WarmTimesRunstart-Agent:SmartSchoolsCrossend",
"markerEnd": "logo",
"source": "Retrieval:WarmTimesRun",
"sourceHandle": "start",
"style": {
"stroke": "rgba(91, 93, 106, 1)",
"strokeWidth": 1
},
"target": "Agent:SmartSchoolsCross",
"targetHandle": "end",
"type": "buttonEdge",
"zIndex": 1001
},
{
"data": {
"isHovered": false
},
"id": "xy-edge__Agent:WildGoatsRuletool-Tool:TrueCrewsTakeend",
"source": "Agent:WildGoatsRule",
"sourceHandle": "tool",
"target": "Tool:TrueCrewsTake",
"targetHandle": "end"
}
],
"nodes": [
{
"data": {
"form": {
"enablePrologue": true,
"inputs": {},
"mode": "conversational",
"prologue": "Hi! I'm your web search assistant. What do you want to search today?"
},
"label": "Begin",
"name": "begin"
},
"dragging": false,
"id": "begin",
"measured": {
"height": 48,
"width": 200
},
"position": {
"x": 32.79251060693639,
"y": 209.67921278359827
},
"selected": false,
"sourcePosition": "left",
"targetPosition": "right",
"type": "beginNode"
},
{
"data": {
"form": {
"delay_after_error": 1,
"description": "",
"exception_comment": "",
"exception_default_value": "",
"exception_goto": [],
"exception_method": null,
"frequencyPenaltyEnabled": false,
"frequency_penalty": 0.7,
"llm_id": "deepseek-chat@DeepSeek",
"maxTokensEnabled": false,
"max_retries": 3,
"max_rounds": 1,
"max_tokens": 256,
"mcp": [],
"message_history_window_size": 12,
"outputs": {
"content": {
"type": "string",
"value": ""
}
},
"presencePenaltyEnabled": false,
"presence_penalty": 0.4,
"prompts": [
{
"content": "{sys.query}",
"role": "user"
}
],
"sys_prompt": "Role: You are a Question Refinement Agent. Rewrite ambiguous or incomplete user questions to align with knowledge base terminology using conversation history.\n\nExample：\n\nUser: What's RAGFlow?\nAssistant: RAGFlow is xxx.\n\nUser: How to deloy it?\nRefine it: How to deploy RAGFlow?",
"temperature": 0.1,
"temperatureEnabled": true,
"tools": [],
"topPEnabled": false,
"top_p": 0.3,
"user_prompt": "",
"visual_files_var": ""
},
"label": "Agent",
"name": "Refine Question"
},
"dragging": false,
"id": "Agent:ThreePathsDecide",
"measured": {
"height": 84,
"width": 200
},
"position": {
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"y": 188.16985104226876
},
"selected": false,
"sourcePosition": "right",
"targetPosition": "left",
"type": "agentNode"
},
{
"data": {
"form": {
"delay_after_error": 1,
"description": "",
"exception_comment": "",
"exception_default_value": "",
"exception_goto": [],
"exception_method": null,
"frequencyPenaltyEnabled": false,
"frequency_penalty": 0.7,
"llm_id": "deepseek-chat@DeepSeek",
"maxTokensEnabled": false,
"max_retries": 3,
"max_rounds": 2,
"max_tokens": 256,
"mcp": [],
"message_history_window_size": 12,
"outputs": {
"content": {
"type": "string",
"value": ""
}
},
"presencePenaltyEnabled": false,
"presence_penalty": 0.4,
"prompts": [
{
"content": "User's query:\n{sys.query}\n\nRefined question:\n{Agent:ThreePathsDecide@content}",
"role": "user"
}
],
"sys_prompt": "Role: You are a Search-Driven Information Agent that answers questions using web search results.\n\nWorkflow:\nKeyword Extraction:\nExtract exactly 3 keywords from the user's question.\n\nKeywords must be:\n✅ Most specific nouns/proper nouns (e.g., \"iPhone 15 Pro\" not \"phone\")\n✅ Core concepts (e.g., \"quantum entanglement\" not \"science thing\")\n✅ Unbiased (no added opinions)\nNever output keywords to users\n\nSearch & Answer:\nUse search tools (TavilySearch, TavilyExtract, Google, Bing, DuckDuckGo, Wikipedia) with the 3 keywords to retrieve results.\nAnswer solely based on search findings, citing sources.\nIf results conflict, prioritize recent (.gov/.edu > forums)\n\nOutput Rules:\n✖️ Never show keywords in final answers\n✖️ Never guess if search yields no results\n✅ Always cite sources using [Source #] notation",
"temperature": 0.1,
"temperatureEnabled": true,
"tools": [
{
"component_name": "TavilySearch",
"name": "TavilySearch",
"params": {
"api_key": "",
"days": 7,
"exclude_domains": [],
"include_answer": false,
"include_domains": [],
"include_image_descriptions": false,
"include_images": false,
"include_raw_content": true,
"max_results": 5,
"outputs": {
"formalized_content": {
"type": "string",
"value": ""
},
"json": {
"type": "Array<Object>",
"value": []
}
},
"query": "sys.query",
"search_depth": "basic",
"topic": "general"
}
},
{
"component_name": "TavilyExtract",
"name": "TavilyExtract",
"params": {
"api_key": ""
}
},
{
"component_name": "Google",
"name": "Google",
"params": {
"api_key": "",
"country": "us",
"language": "en"
}
},
{
"component_name": "Bing",
"name": "Bing",
"params": {
"api_key": "YOUR_API_KEY (obtained from https://www.microsoft.com/en-us/bing/apis/bing-web-search-api)",
"channel": "Webpages",
"country": "CH",
"language": "en",
"top_n": 10
}
},
{
"component_name": "DuckDuckGo",
"name": "DuckDuckGo",
"params": {
"channel": "text",
"top_n": 10
}
},
{
"component_name": "Wikipedia",
"name": "Wikipedia",
"params": {
"language": "en",
"top_n": 10
}
}
],
"topPEnabled": false,
"top_p": 0.3,
"user_prompt": "",
"visual_files_var": ""
},
"label": "Agent",
"name": "Search Agent"
},
"dragging": false,
"id": "Agent:WildGoatsRule",
"measured": {
"height": 84,
"width": 200
},
"position": {
"x": 678.5892767651895,
"y": 2.074237779456759
},
"selected": false,
"sourcePosition": "right",
"targetPosition": "left",
"type": "agentNode"
},
{
"data": {
"form": {
"cross_languages": [],
"empty_response": "",
"kb_ids": [],
"keywords_similarity_weight": 0.7,
"outputs": {
"formalized_content": {
"type": "string",
"value": ""
}
},
"query": "Agent:ThreePathsDecide@content",
"rerank_id": "",
"similarity_threshold": 0.2,
"top_k": 1024,
"top_n": 8,
"use_kg": false
},
"label": "Retrieval",
"name": "Retrieval from knowledge bases "
},
"dragging": false,
"id": "Retrieval:WarmTimesRun",
"measured": {
"height": 56,
"width": 200
},
"position": {
"x": 689.0595178434597,
"y": 499.2340890704343
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"selected": false,
"sourcePosition": "right",
"targetPosition": "left",
"type": "retrievalNode"
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{
"data": {
"form": {
"delay_after_error": 1,
"description": "",
"exception_comment": "",
"exception_default_value": "",
"exception_goto": [],
"exception_method": null,
"frequencyPenaltyEnabled": false,
"frequency_penalty": 0.7,
"llm_id": "deepseek-chat@DeepSeek",
"maxTokensEnabled": false,
"max_retries": 3,
"max_rounds": 1,
"max_tokens": 256,
"mcp": [],
"message_history_window_size": 12,
"outputs": {
"content": {
"type": "string",
"value": ""
}
},
"presencePenaltyEnabled": false,
"presence_penalty": 0.4,
"prompts": [
{
"content": "User's query:\n{sys.query}\n\nRefined question:\n{Agent:ThreePathsDecide@content}\n\nWeb search result:\n{Agent:WildGoatsRule@content}\n\nRetrieval result:\n{Agent:WildGoatsRule@content}",
"role": "user"
}
],
"sys_prompt": "Role: You are an Answer Organizer.\nTask: Generate the answer based on the provided content from: User's query, Refined question, Web search result, Retrieval result.\n\nRequirements:\n - Answer should be in markdown format.\n - Answer should include all \n - Do not make thing up when there's no relevant information to user's question. \n",
"temperature": 0.1,
"temperatureEnabled": true,
"tools": [],
"topPEnabled": false,
"top_p": 0.3,
"user_prompt": "",
"visual_files_var": ""
},
"label": "Agent",
"name": "Answer Organizer"
},
"dragging": false,
"id": "Agent:SmartSchoolsCross",
"measured": {
"height": 84,
"width": 200
},
"position": {
"x": 1134.5321493898284,
"y": 221.46972754101765
},
"selected": false,
"sourcePosition": "right",
"targetPosition": "left",
"type": "agentNode"
},
{
"data": {
"form": {
"content": [
"{Agent:SmartSchoolsCross@content}"
]
},
"label": "Message",
"name": "Answer"
},
"dragging": false,
"id": "Message:ShaggyRingsCrash",
"measured": {
"height": 56,
"width": 200
},
"position": {
"x": 1437.758553651028,
"y": 235.45081267288185
},
"selected": false,
"sourcePosition": "right",
"targetPosition": "left",
"type": "messageNode"
},
{
"data": {
"form": {
"text": "This Agent rewrites your question for better search & retrieval results."
},
"label": "Note",
"name": "Note: Refine Question"
},
"dragHandle": ".note-drag-handle",
"id": "Note:BetterCupsBow",
"measured": {
"height": 136,
"width": 244
},
"position": {
"x": 270,
"y": 390
},
"selected": false,
"sourcePosition": "right",
"targetPosition": "left",
"type": "noteNode"
},
{
"data": {
"form": {
"text": "This Agent answers questions using web search results."
},
"label": "Note",
"name": "Note: Search Agent"
},
"dragHandle": ".note-drag-handle",
"dragging": false,
"id": "Note:OddGoatsBeg",
"measured": {
"height": 136,
"width": 244
},
"position": {
"x": 689.3401860180043,
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"selected": false,
"sourcePosition": "right",
"targetPosition": "left",
"type": "noteNode"
},
{
"data": {
"form": {
"text": "This Agents generates the answer based on the provided content from: User's query, Refined question, Web search result, Retrieval result."
},
"label": "Note",
"name": "Note: Answer Organizer"
},
"dragHandle": ".note-drag-handle",
"dragging": false,
"height": 188,
"id": "Note:SlowBottlesHope",
"measured": {
"height": 188,
"width": 251
},
"position": {
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"y": 375.08305219772546
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"resizing": false,
"selected": false,
"sourcePosition": "right",
"targetPosition": "left",
"type": "noteNode",
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},
{
"data": {
"form": {
"description": "This is an agent for a specific task.",
"user_prompt": "This is the order you need to send to the agent."
},
"label": "Tool",
"name": "flow.tool_0"
},
"dragging": false,
"id": "Tool:TrueCrewsTake",
"measured": {
"height": 228,
"width": 200
},
"position": {
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"selected": false,
"sourcePosition": "right",
"targetPosition": "left",
"type": "toolNode"
},
{
"data": {
"form": {
"text": "This is a chat assistant template that integrates information extracted from a knowledge base and web searches to respond to queries. Let's start by setting up your knowledge base in 'Retrieval'!"
},
"label": "Note",
"name": "Workflow Overall Description"
},
"dragHandle": ".note-drag-handle",
"dragging": false,
"height": 163,
"id": "Note:BumpySteaksPump",
"measured": {
"height": 163,
"width": 389
},
"position": {
"x": -36.59148337976953,
"y": 1.488564577528809
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"resizing": false,
"selected": false,
"sourcePosition": "right",
"targetPosition": "left",
"type": "noteNode",
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}
]
},
"history": [
[
"user",
"你好"
]
],
"memory": [],
"messages": [],
"path": [
"begin",
"Agent:ThreePathsDecide"
],
"retrieval": [
{
"chunks": [],
"doc_aggs": []
},
{
"chunks": {},
"doc_aggs": {}
}
],
"task_id": "183442fc6dd811f091b1047c16ec874f"
},
"avatar": 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"
}
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