From 62505164d5659bcb5a2167b943c3721a0fe85d78 Mon Sep 17 00:00:00 2001 From: LeonTung Date: Wed, 19 Nov 2025 12:28:06 +0800 Subject: [PATCH] chore(template): introducing variable aggregator to customer service template (#11352) ### What problem does this PR solve? Update customer service template ### Type of change - [x] Other (please describe): --- agent/templates/customer_service.json | 1637 ++++++++++++++----------- 1 file changed, 941 insertions(+), 696 deletions(-) diff --git a/agent/templates/customer_service.json b/agent/templates/customer_service.json index 24e022fed..fc3704e53 100644 --- a/agent/templates/customer_service.json +++ b/agent/templates/customer_service.json @@ -11,707 +11,952 @@ "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" - ] + "components": { + "Agent:DullTownsHope": { + "downstream": [ + "VariableAggregator:FuzzyBerriesFlow" + ], + "obj": { + "component_name": "Agent", + "params": { + "delay_after_error": 1, + "description": "", + "exception_comment": "", + "exception_default_value": "", + "exception_goto": [], + "exception_method": null, + "frequencyPenaltyEnabled": false, + "frequency_penalty": 0.3, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": false, + "max_retries": 3, + "max_rounds": 5, + "max_tokens": 4096, + "mcp": [], + "message_history_window_size": 12, + "outputs": { + "content": { + "type": "string", + "value": "" + } }, - "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": [ + "parameter": "Balance", + "presencePenaltyEnabled": false, + "presence_penalty": 0.2, + "prompts": [ { - "data": { - "isHovered": false - }, - "id": "xy-edge__beginstart-Agent:RottenRiversDoend", - "source": "begin", - "sourceHandle": "start", - "target": "Agent:RottenRiversDo", - "targetHandle": "end" - }, - { - "data": { - "isHovered": false - }, - "id": "xy-edge__Agent:RottenRiversDoagentBottom-Agent:SlowKiwisBehaveagentTop", - "source": "Agent:RottenRiversDo", - "sourceHandle": "agentBottom", - "target": "Agent:SlowKiwisBehave", - "targetHandle": "agentTop" - }, - { - "data": { - "isHovered": false - }, - "id": "xy-edge__Agent:RottenRiversDoagentBottom-Agent:PoorTaxesRescueagentTop", - "source": "Agent:RottenRiversDo", - "sourceHandle": "agentBottom", - "target": "Agent:PoorTaxesRescue", - "targetHandle": "agentTop" - }, - { - "data": { - "isHovered": false - }, - "id": "xy-edge__Agent:RottenRiversDoagentBottom-Agent:SillyTurkeysRestagentTop", - "source": "Agent:RottenRiversDo", - "sourceHandle": "agentBottom", - "target": "Agent:SillyTurkeysRest", - "targetHandle": "agentTop" - }, - { - "data": { - "isHovered": false - }, - "id": "xy-edge__Agent:SillyTurkeysResttool-Tool:CrazyShirtsKissend", - "source": "Agent:SillyTurkeysRest", - "sourceHandle": "tool", - "target": "Tool:CrazyShirtsKiss", - "targetHandle": "end" - }, - { - "data": { - "isHovered": false - }, - "id": "xy-edge__Agent:RottenRiversDostart-Message:PurpleCitiesSeeend", - "source": "Agent:RottenRiversDo", - "sourceHandle": "start", - "target": "Message:PurpleCitiesSee", - "targetHandle": "end" + "content": "The user query is {sys.query}", + "role": "user" } ], - "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": { - "x": 350, - "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" - }, - "dragging": false, - "id": "Agent:SlowKiwisBehave", - "measured": { - "height": 84, - "width": 200 - }, - "position": { - "x": 124.4782938105834, - "y": 402.1704532368496 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "agentNode" - }, - { - "data": { - "form": { - "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": "" - }, - "label": "Agent", - "name": "Soothe Agent" - }, - "dragging": false, - "id": "Agent:PoorTaxesRescue", - "measured": { - "height": 84, - "width": 200 - }, - "position": { - "x": 402.02090711979577, - "y": 363.3139199638186 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "agentNode" - }, - { - "data": { - "form": { - "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": "" - }, - "label": "Agent", - "name": "Product Agent" - }, - "dragging": false, - "id": "Agent:SillyTurkeysRest", - "measured": { - "height": 84, - "width": 200 - }, - "position": { - "x": 684.0042670887832, - "y": 317.79626670112515 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "agentNode" - }, - { - "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": { - "height": 48, - "width": 200 - }, - "position": { - "x": 659.7339736658578, - "y": 443.3638400568565 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "toolNode" - }, - { - "data": { - "form": { - "content": [ - "{Agent:RottenRiversDo@content}" - ] - }, - "label": "Message", - "name": "Response" - }, - "dragging": false, - "id": "Message:PurpleCitiesSee", - "measured": { - "height": 56, - "width": 200 - }, - "position": { - "x": 675.534293293706, - "y": 158.92309339708154 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "messageNode" - }, - { - "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 - }, - "position": { - "x": -59.311679338397, - "y": -2.2203733298874866 - }, - "resizing": false, - "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", - "measured": { - "height": 136, - "width": 249 - }, - "position": { - "x": 994.4238924667025, - "y": 329.08949370720796 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "noteNode" - } - ] + "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": "", + "visual_files_var": "" + } }, - "history": [], - "messages": [], - "path": [], - "retrieval": [] + "upstream": [ + "Categorize:DullFriendsThank" + ] + }, + "Agent:KhakiSunsJudge": { + "downstream": [ + "VariableAggregator:FuzzyBerriesFlow" + ], + "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": 5, + "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}\n\nThe relevant document are {Retrieval:ShyPumasJoke@formalized_content}", + "role": "user" + } + ], + "sys_prompt": "You are a highly professional product information advisor. \n\nYour only mission is to provide accurate, factual, and structured answers to all product-related queries.\n\nAbsolutely no assumptions, guesses, or fabricated content are allowed. \n\n**Key Principles:**\n\n1. **Strict Database Reliance:** \n\n - Every answer must be based solely on the verified product information stored in the relevant documen.\n\n - You are NOT allowed to invent, speculate, or infer details beyond what is retrieved. \n\n - If you cannot find relevant data, respond with: *\"I cannot find this information in our official product database. Please check back later or provide more details for further search.\"*\n\n2. **Information Accuracy and Structure:** \n\n - Provide information in a clear, concise, and professional way. \n\n - Use bullet points or numbered lists if there are multiple key points (e.g., features, price, warranty, technical specifications). \n\n - Always specify the version or model number when applicable to avoid confusion.\n\n3. **Tone and Style:** \n\n - Maintain a polite, professional, and helpful tone at all times. \n\n - Avoid marketing exaggeration or promotional language; stay strictly factual. \n\n - Do not express personal opinions; only cite official product data.\n\n4. **User Guidance:** \n\n - If the user’s query is unclear or too broad, politely request clarification or guide them to provide more specific product details (e.g., product name, model, version). \n\n - Example: *\"Could you please specify the product model or category so I can retrieve the most relevant information for you?\"*\n\n5. **Response Length and Formatting:** \n\n - Keep each answer within 100–150 words for general queries. \n\n - For complex or multi-step explanations, you may extend to 200–250 words, but always remain clear and well-structured.\n\n6. **Critical Reminder:** \n\nYour authority and reliability depend entirely on the relevant document responses. 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", + "temperature": 0.5, + "temperatureEnabled": true, + "tools": [], + "topPEnabled": false, + "top_p": 0.85, + "user_prompt": "", + "visual_files_var": "" + }, + "label": "Agent", + "name": "Soothe mood" + }, + "dragging": false, + "id": "Agent:DullTownsHope", + "measured": { + "height": 84, + "width": 200 + }, + "position": { + "x": 722.665715093248, + "y": 281.3422183879642 + }, + "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": "sys.query", + "rerank_id": "", + "similarity_threshold": 0.2, + "top_k": 1024, + "top_n": 8, + "use_kg": false + }, + "label": "Retrieval", + "name": "Search product info" + }, + "dragging": false, + "id": "Retrieval:ShyPumasJoke", + "measured": { + "height": 50, + "width": 200 + }, + "position": { + "x": 645.6873721057459, + "y": 516.6923702571407 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "retrievalNode" + }, + { + "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": 5, + "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}\n\nThe relevant document are {Retrieval:ShyPumasJoke@formalized_content}", + "role": "user" + } + ], + "sys_prompt": "You are a highly professional product information advisor. \n\nYour only mission is to provide accurate, factual, and structured answers to all product-related queries.\n\nAbsolutely no assumptions, guesses, or fabricated content are allowed. \n\n**Key Principles:**\n\n1. **Strict Database Reliance:** \n\n - Every answer must be based solely on the verified product information stored in the relevant documen.\n\n - You are NOT allowed to invent, speculate, or infer details beyond what is retrieved. \n\n - If you cannot find relevant data, respond with: *\"I cannot find this information in our official product database. Please check back later or provide more details for further search.\"*\n\n2. **Information Accuracy and Structure:** \n\n - Provide information in a clear, concise, and professional way. \n\n - Use bullet points or numbered lists if there are multiple key points (e.g., features, price, warranty, technical specifications). \n\n - Always specify the version or model number when applicable to avoid confusion.\n\n3. **Tone and Style:** \n\n - Maintain a polite, professional, and helpful tone at all times. \n\n - Avoid marketing exaggeration or promotional language; stay strictly factual. \n\n - Do not express personal opinions; only cite official product data.\n\n4. **User Guidance:** \n\n - If the user’s query is unclear or too broad, politely request clarification or guide them to provide more specific product details (e.g., product name, model, version). \n\n - Example: *\"Could you please specify the product model or category so I can retrieve the most relevant information for you?\"*\n\n5. **Response Length and Formatting:** \n\n - Keep each answer within 100–150 words for general queries. \n\n - For complex or multi-step explanations, you may extend to 200–250 words, but always remain clear and well-structured.\n\n6. **Critical Reminder:** \n\nYour authority and reliability depend entirely on the relevant document responses. Any fabricated, speculative, or unverified content will be considered a critical failure of your role.\n\n\n", + "temperature": 0.1, + "temperatureEnabled": true, + "tools": [], + "topPEnabled": false, + "top_p": 0.3, + "user_prompt": "", + "visual_files_var": "" + }, + "label": "Agent", + "name": "Product info" + }, + "dragging": false, + "id": "Agent:KhakiSunsJudge", + "measured": { + "height": 84, + "width": 200 + }, + "position": { + "x": 726.580040161058, + "y": 386.5448208363979 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "agentNode" + }, + { + "data": { + "form": { + "text": "This is an intelligent customer service processing system workflow based on user intent classification. It uses LLM to identify user demand types and transfers them to the corresponding professional agent for processing." + }, + "label": "Note", + "name": "Workflow Overall Description" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 171, + "id": "Note:AllGuestsShow", + "measured": { + "height": 171, + "width": 380 + }, + "position": { + "x": -283.6407251474677, + "y": 157.2943019466498 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "noteNode", + "width": 380 + }, + { + "data": { + "form": { + "text": "Here, product document snippets related to the user's question will be retrieved from the knowledge base first, and the relevant document snippets will be passed to the LLM together with the user's question." + }, + "label": "Note", + "name": "Product info Agent" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 154, + "id": "Note:IcyBooksCough", + "measured": { + "height": 154, + "width": 370 + }, + "position": { + "x": 1014.0959071234828, + "y": 492.830874176321 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "noteNode", + "width": 370 + }, + { + "data": { + "form": { + "text": "Here, a text will be randomly selected for answering" + }, + "label": "Note", + "name": "What else？" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "id": "Note:AllThingsHide", + "measured": { + "height": 136, + "width": 249 + }, + "position": { + "x": 770.7060131788647, + "y": -123.23496705283817 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "noteNode" + }, + { + "data": { + "form": { + "groups": [ + { + "group_name": "LLM_Response", + "type": "string", + "variables": [ + { + "value": "Agent:TwelveOwlsWatch@content" + }, + { + "value": "Agent:DullTownsHope@content" + }, + { + "value": "Agent:KhakiSunsJudge@content" + } + ] + } + ], + "outputs": { + "LLM_Response": { + "type": "string" + } + } + }, + "label": "VariableAggregator", + "name": "Variable aggregator" + }, + "dragging": false, + "id": "VariableAggregator:FuzzyBerriesFlow", + "measured": { + "height": 150, + "width": 200 + }, + "position": { + "x": 1061.596672609154, + "y": 247.90496561846572 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "variableAggregatorNode" + }, + { + "data": { + "form": { + "content": [ + "{VariableAggregator:FuzzyBerriesFlow@LLM_Response}" + ] + }, + "label": "Message", + "name": "Response" + }, + "dragging": false, + "id": "Message:DryBusesCarry", + "measured": { + "height": 50, + "width": 200 + }, + "position": { + "x": 1364.5500382017049, + "y": 296.59667260915404 + }, + "selected": true, + "sourcePosition": "right", + "targetPosition": "left", + "type": "messageNode" + } + ] + }, + "history": [], + "messages": [], + "path": [], + "retrieval": [], + "variables": {} + }, "avatar": 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" } \ No newline at end of file