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ragflow/agent/templates/customer_service.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": 2,
"title": {
"en": "Multi-Agent Customer Support",
"de": "Multi Agenten Kundensupport",
"zh": "多智能体客服"},
"description": {
"en": "This is a multi-agent system for intelligent customer service processing based on user intent classification. It uses the lead-agent to identify the type of user needs, assign tasks to sub-agents for processing.",
"de": "Dies ist ein Multi-Agenten-System für die intelligente Kundenservice-Verarbeitung basierend auf Benutzerabsichtsklassifizierung. Es verwendet den Haupt-Agenten zur Identifizierung der Art der Benutzerbedürfnisse und weist Aufgaben an Unter-Agenten zur Verarbeitung zu.",
"zh": "多智能体系统，用于智能客服场景。基于用户意图分类，使用主智能体识别用户需求类型，并将任务分配给子智能体进行处理。"},
"canvas_type": "Agent",
"dsl": {
"components": {
"Agent:RottenRiversDo": {
"downstream": [
"Message:PurpleCitiesSee"
],
"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": "The user query is {sys.query}",
"role": "user"
}
],
"sys_prompt": "# Role \n\nYou are **Customer Server Agent**. Classify every user message; handle **contact** yourself. This is a multi-agent system.\n\n## Categories \n\n1. **contact** \u2013 user gives phone, e\u2011mail, WeChat, Line, Discord, etc. \n\n2. **casual** \u2013 small talk, not about the product. \n\n3. **complain** \u2013 complaints or profanity about the product/service. \n\n4. **product** \u2013 questions on product use, appearance, function, or errors.\n\n## If contact \n\nReply with one random item below\u2014do not change wording or call sub\u2011agents: \n\n1. Okay, I've already written this down. What else can I do for you? \n\n2. Got it. What else can I do for you? \n\n3. Thanks for your trust! Our expert will contact you ASAP. Anything else I can help with? \n\n4. Thanks! Anything else I can do for you?\n\n\n---\n\n\n## Otherwise (casual\u202f/\u202fcomplain\u202f/\u202fproduct) \n\nLet Sub\u2011Agent returns its answer\n\n## Sub\u2011Agent \n\n- casual \u2192 **Casual Agent** \nThis is an agent for handles casual conversationk.\n\n- complain \u2192 **Soothe Agent** \nThis is an agent for handles complaints or emotional input.\n\n- product \u2192 **Product Agent** \nThis is an agent for handles product-related queries and can use the `Retrieval` tool.\n\n## Importance\n\n- When the Sub\u2011Agent returns its answer, forward that answer to the user verbatim \u2014 do not add, edit, or reason further.\n ",
"temperature": 0.1,
"temperatureEnabled": true,
"tools": [
{
"component_name": "Agent",
"id": "Agent:SlowKiwisBehave",
"name": "Casual Agent",
"params": {
"delay_after_error": 1,
"description": "This is an agent for handles casual conversationk.",
"exception_comment": "",
"exception_default_value": "",
"exception_goto": [],
"exception_method": null,
"frequencyPenaltyEnabled": false,
"frequency_penalty": 0.3,
"llm_id": "deepseek-chat@DeepSeek",
"maxTokensEnabled": false,
"max_retries": 1,
"max_rounds": 1,
"max_tokens": 4096,
"mcp": [],
"message_history_window_size": 12,
"outputs": {
"content": {
"type": "string",
"value": ""
}
},
"parameter": "Balance",
"presencePenaltyEnabled": false,
"presence_penalty": 0.2,
"prompts": [
{
"content": "{sys.query}",
"role": "user"
}
],
"sys_prompt": "You are a friendly and casual conversational assistant. \n\nYour primary goal is to engage users in light and enjoyable daily conversation. \n\n- Keep a natural, relaxed, and positive tone. \n\n- Avoid sensitive, controversial, or negative topics. \n\n- You may gently guide the conversation by introducing related casual topics if the user shows interest. \n\n",
"temperature": 0.5,
"temperatureEnabled": true,
"tools": [],
"topPEnabled": false,
"top_p": 0.85,
"user_prompt": "This is the order you need to send to the agent.",
"visual_files_var": ""
}
},
{
"component_name": "Agent",
"id": "Agent:PoorTaxesRescue",
"name": "Soothe Agent",
"params": {
"delay_after_error": 1,
"description": "This is an agent for handles complaints or emotional input.",
"exception_comment": "",
"exception_default_value": "",
"exception_goto": [],
"exception_method": null,
"frequencyPenaltyEnabled": false,
"frequency_penalty": 0.3,
"llm_id": "deepseek-chat@DeepSeek",
"maxTokensEnabled": false,
"max_retries": 1,
"max_rounds": 1,
"max_tokens": 4096,
"mcp": [],
"message_history_window_size": 12,
"outputs": {
"content": {
"type": "string",
"value": ""
}
},
"parameter": "Balance",
"presencePenaltyEnabled": false,
"presence_penalty": 0.2,
"prompts": [
{
"content": "{sys.query}",
"role": "user"
}
],
"sys_prompt": "You are an empathetic mood-soothing assistant. \n\nYour role is to comfort and encourage users when they feel upset or frustrated. \n\n- Use a warm, kind, and understanding tone. \n\n- Focus on showing empathy and emotional support rather than solving the problem directly. \n\n- Always encourage users with positive and reassuring statements. ",
"temperature": 0.5,
"temperatureEnabled": true,
"tools": [],
"topPEnabled": false,
"top_p": 0.85,
"user_prompt": "This is the order you need to send to the agent.",
"visual_files_var": ""
}
},
{
"component_name": "Agent",
"id": "Agent:SillyTurkeysRest",
"name": "Product Agent",
"params": {
"delay_after_error": 1,
"description": "This is an agent for handles product-related queries and can use the `Retrieval` tool.",
"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": "{sys.query}",
"role": "user"
}
],
"sys_prompt": "# Role \n\nYou are a Product Information Advisor with access to the **Retrieval** tool.\n\n# Workflow \n\n1. Run **Retrieval** with a focused query from the user\u2019s question. \n\n2. Draft the reply **strictly** from the returned passages. \n\n3. If nothing relevant is retrieved, reply: \n\n \u201cI cannot find relevant documents in the knowledge base.\u201d\n\n# Rules \n\n- No assumptions, guesses, or extra\u2011KB knowledge. \n\n- Factual, concise. Use bullets / numbers when helpful. \n\n",
"temperature": 0.1,
"temperatureEnabled": true,
"tools": [
{
"component_name": "Retrieval",
"name": "Retrieval",
"params": {
"cross_languages": [],
"description": "This is a product knowledge base",
"empty_response": "",
"kb_ids": [],
"keywords_similarity_weight": 0.7,
"outputs": {
"formalized_content": {
"type": "string",
"value": ""
}
},
"rerank_id": "",
"similarity_threshold": 0.2,
"top_k": 1024,
"top_n": 8,
"use_kg": false
}
}
],
"topPEnabled": false,
"top_p": 0.3,
"user_prompt": "This is the order you need to send to the agent.",
"visual_files_var": ""
}
}
],
"topPEnabled": false,
"top_p": 0.3,
"user_prompt": "",
"visual_files_var": ""
}
},
"upstream": [
"begin"
]
},
"Message:PurpleCitiesSee": {
"downstream": [],
"obj": {
"component_name": "Message",
"params": {
"content": [
"{Agent:RottenRiversDo@content}"
]
}
},
"upstream": [
"Agent:RottenRiversDo"
]
},
"begin": {
"downstream": [
"Agent:RottenRiversDo"
],
"obj": {
"component_name": "Begin",
"params": {
"enablePrologue": true,
"inputs": {},
"mode": "conversational",
"prologue": "Hi! I'm an official AI customer service representative. How can I help you?"
}
},
"upstream": []
}
},
"globals": {
"sys.conversation_turns": 0,
"sys.files": [],
"sys.query": "",
"sys.user_id": ""
},
"graph": {
"edges": [
{
"data": {
"isHovered": false
},
"id": "xy-edge__beginstart-Agent:RottenRiversDoend",
"source": "begin",
"sourceHandle": "start",
"target": "Agent:RottenRiversDo",
"targetHandle": "end"
},
{
"data": {
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},
"id": "xy-edge__Agent:RottenRiversDoagentBottom-Agent:SlowKiwisBehaveagentTop",
"source": "Agent:RottenRiversDo",
"sourceHandle": "agentBottom",
"target": "Agent:SlowKiwisBehave",
"targetHandle": "agentTop"
},
{
"data": {
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"id": "xy-edge__Agent:RottenRiversDoagentBottom-Agent:PoorTaxesRescueagentTop",
"source": "Agent:RottenRiversDo",
"sourceHandle": "agentBottom",
"target": "Agent:PoorTaxesRescue",
"targetHandle": "agentTop"
},
{
"data": {
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},
"id": "xy-edge__Agent:RottenRiversDoagentBottom-Agent:SillyTurkeysRestagentTop",
"source": "Agent:RottenRiversDo",
"sourceHandle": "agentBottom",
"target": "Agent:SillyTurkeysRest",
"targetHandle": "agentTop"
},
{
"data": {
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},
"id": "xy-edge__Agent:SillyTurkeysResttool-Tool:CrazyShirtsKissend",
"source": "Agent:SillyTurkeysRest",
"sourceHandle": "tool",
"target": "Tool:CrazyShirtsKiss",
"targetHandle": "end"
},
{
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"id": "xy-edge__Agent:RottenRiversDostart-Message:PurpleCitiesSeeend",
"source": "Agent:RottenRiversDo",
"sourceHandle": "start",
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"targetHandle": "end"
}
],
"nodes": [
{
"data": {
"form": {
"enablePrologue": true,
"inputs": {},
"mode": "conversational",
"prologue": "Hi! I'm an official AI customer service representative. How can I help you?"
},
"label": "Begin",
"name": "begin"
},
"id": "begin",
"measured": {
"height": 48,
"width": 200
},
"position": {
"x": 50,
"y": 200
},
"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": 2,
"max_tokens": 256,
"mcp": [],
"message_history_window_size": 12,
"outputs": {
"content": {
"type": "string",
"value": ""
}
},
"presencePenaltyEnabled": false,
"presence_penalty": 0.4,
"prompts": [
{
"content": "The user query is {sys.query}",
"role": "user"
}
],
"sys_prompt": "# Role \n\nYou are **Customer Server Agent**. Classify every user message; handle **contact** yourself. This is a multi-agent system.\n\n## Categories \n\n1. **contact** \u2013 user gives phone, e\u2011mail, WeChat, Line, Discord, etc. \n\n2. **casual** \u2013 small talk, not about the product. \n\n3. **complain** \u2013 complaints or profanity about the product/service. \n\n4. **product** \u2013 questions on product use, appearance, function, or errors.\n\n## If contact \n\nReply with one random item below\u2014do not change wording or call sub\u2011agents: \n\n1. Okay, I've already written this down. What else can I do for you? \n\n2. Got it. What else can I do for you? \n\n3. Thanks for your trust! Our expert will contact you ASAP. Anything else I can help with? \n\n4. Thanks! Anything else I can do for you?\n\n\n---\n\n\n## Otherwise (casual\u202f/\u202fcomplain\u202f/\u202fproduct) \n\nLet Sub\u2011Agent returns its answer\n\n## Sub\u2011Agent \n\n- casual \u2192 **Casual Agent** \nThis is an agent for handles casual conversationk.\n\n- complain \u2192 **Soothe Agent** \nThis is an agent for handles complaints or emotional input.\n\n- product \u2192 **Product Agent** \nThis is an agent for handles product-related queries and can use the `Retrieval` tool.\n\n## Importance\n\n- When the Sub\u2011Agent returns its answer, forward that answer to the user verbatim \u2014 do not add, edit, or reason further.\n ",
"temperature": 0.1,
"temperatureEnabled": true,
"tools": [],
"topPEnabled": false,
"top_p": 0.3,
"user_prompt": "",
"visual_files_var": ""
},
"label": "Agent",
"name": "Customer Server Agent"
},
"dragging": false,
"id": "Agent:RottenRiversDo",
"measured": {
"height": 84,
"width": 200
},
"position": {
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"y": 198.88981333505626
},
"selected": false,
"sourcePosition": "right",
"targetPosition": "left",
"type": "agentNode"
},
{
"data": {
"form": {
"delay_after_error": 1,
"description": "This is an agent for handles casual conversationk.",
"exception_comment": "",
"exception_default_value": "",
"exception_goto": [],
"exception_method": null,
"frequencyPenaltyEnabled": false,
"frequency_penalty": 0.3,
"llm_id": "deepseek-chat@DeepSeek",
"maxTokensEnabled": false,
"max_retries": 1,
"max_rounds": 1,
"max_tokens": 4096,
"mcp": [],
"message_history_window_size": 12,
"outputs": {
"content": {
"type": "string",
"value": ""
}
},
"parameter": "Balance",
"presencePenaltyEnabled": false,
"presence_penalty": 0.2,
"prompts": [
{
"content": "{sys.query}",
"role": "user"
}
],
"sys_prompt": "You are a friendly and casual conversational assistant. \n\nYour primary goal is to engage users in light and enjoyable daily conversation. \n\n- Keep a natural, relaxed, and positive tone. \n\n- Avoid sensitive, controversial, or negative topics. \n\n- You may gently guide the conversation by introducing related casual topics if the user shows interest. \n\n",
"temperature": 0.5,
"temperatureEnabled": true,
"tools": [],
"topPEnabled": false,
"top_p": 0.85,
"user_prompt": "This is the order you need to send to the agent.",
"visual_files_var": ""
},
"label": "Agent",
"name": "Casual Agent"
},
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"id": "Agent:SlowKiwisBehave",
"measured": {
"height": 84,
"width": 200
},
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"sourcePosition": "right",
"targetPosition": "left",
"type": "agentNode"
},
{
"data": {
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"description": "This is an agent for handles complaints or emotional input.",
"exception_comment": "",
"exception_default_value": "",
"exception_goto": [],
"exception_method": null,
"frequencyPenaltyEnabled": false,
"frequency_penalty": 0.3,
"llm_id": "deepseek-chat@DeepSeek",
"maxTokensEnabled": false,
"max_retries": 1,
"max_rounds": 1,
"max_tokens": 4096,
"mcp": [],
"message_history_window_size": 12,
"outputs": {
"content": {
"type": "string",
"value": ""
}
},
"parameter": "Balance",
"presencePenaltyEnabled": false,
"presence_penalty": 0.2,
"prompts": [
{
"content": "{sys.query}",
"role": "user"
}
],
"sys_prompt": "You are an empathetic mood-soothing assistant. \n\nYour role is to comfort and encourage users when they feel upset or frustrated. \n\n- Use a warm, kind, and understanding tone. \n\n- Focus on showing empathy and emotional support rather than solving the problem directly. \n\n- Always encourage users with positive and reassuring statements. ",
"temperature": 0.5,
"temperatureEnabled": true,
"tools": [],
"topPEnabled": false,
"top_p": 0.85,
"user_prompt": "This is the order you need to send to the agent.",
"visual_files_var": ""
},
"label": "Agent",
"name": "Soothe Agent"
},
"dragging": false,
"id": "Agent:PoorTaxesRescue",
"measured": {
"height": 84,
"width": 200
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"y": 363.3139199638186
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"type": "agentNode"
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{
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"description": "This is an agent for handles product-related queries and can use the `Retrieval` tool.",
"exception_comment": "",
"exception_default_value": "",
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"exception_method": null,
"frequencyPenaltyEnabled": false,
"frequency_penalty": 0.7,
"llm_id": "deepseek-chat@DeepSeek",
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}
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"presencePenaltyEnabled": false,
"presence_penalty": 0.4,
"prompts": [
{
"content": "{sys.query}",
"role": "user"
}
],
"sys_prompt": "# Role \n\nYou are a Product Information Advisor with access to the **Retrieval** tool.\n\n# Workflow \n\n1. Run **Retrieval** with a focused query from the user\u2019s question. \n\n2. Draft the reply **strictly** from the returned passages. \n\n3. If nothing relevant is retrieved, reply: \n\n \u201cI cannot find relevant documents in the knowledge base.\u201d\n\n# Rules \n\n- No assumptions, guesses, or extra\u2011KB knowledge. \n\n- Factual, concise. Use bullets / numbers when helpful. \n\n",
"temperature": 0.1,
"temperatureEnabled": true,
"tools": [
{
"component_name": "Retrieval",
"name": "Retrieval",
"params": {
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"description": "This is a product knowledge base",
"empty_response": "",
"kb_ids": [],
"keywords_similarity_weight": 0.7,
"outputs": {
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"type": "string",
"value": ""
}
},
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"similarity_threshold": 0.2,
"top_k": 1024,
"top_n": 8,
"use_kg": false
}
}
],
"topPEnabled": false,
"top_p": 0.3,
"user_prompt": "This is the order you need to send to the agent.",
"visual_files_var": ""
},
"label": "Agent",
"name": "Product Agent"
},
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"type": "agentNode"
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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:CrazyShirtsKiss",
"measured": {
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"selected": false,
"sourcePosition": "right",
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"type": "toolNode"
},
{
"data": {
"form": {
"content": [
"{Agent:RottenRiversDo@content}"
]
},
"label": "Message",
"name": "Response"
},
"dragging": false,
"id": "Message:PurpleCitiesSee",
"measured": {
"height": 56,
"width": 200
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"position": {
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"selected": false,
"sourcePosition": "right",
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"type": "messageNode"
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{
"data": {
"form": {
"text": "This is a multi-agent system for intelligent customer service processing based on user intent classification. It uses the lead-agent to identify the type of user needs, assign tasks to sub-agents for processing, and finally the lead agent outputs the results."
},
"label": "Note",
"name": "Workflow Overall Description"
},
"dragHandle": ".note-drag-handle",
"dragging": false,
"height": 140,
"id": "Note:MoodyTurtlesCount",
"measured": {
"height": 140,
"width": 385
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"selected": false,
"sourcePosition": "right",
"targetPosition": "left",
"type": "noteNode",
"width": 385
},
{
"data": {
"form": {
"text": "Answers will be given strictly according to the content retrieved from the knowledge base."
},
"label": "Note",
"name": "Product Agent "
},
"dragHandle": ".note-drag-handle",
"dragging": false,
"id": "Note:ColdCoinsBathe",
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"
}
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