{ "id": 2, "title": { "en": "Multi-Agent Customer Support", "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.", "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": { "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" } ], "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" } ] }, "history": [], "messages": [], "path": [], "retrieval": [] }, "avatar": 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" }