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- {
- "id": 2,
- "title": "Multi-Agent Customer Support",
- "description": "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.",
- "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": [
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- "component_name": "Agent",
- "id": "Agent:SlowKiwisBehave",
- "name": "Casual Agent",
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- "exception_comment": "",
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- "outputs": {
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- "parameter": "Balance",
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- "presence_penalty": 0.2,
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- "role": "user"
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- "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,
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- "frequency_penalty": 0.3,
- "llm_id": "deepseek-chat@DeepSeek",
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- "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": [
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- },
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- "downstream": [],
- "obj": {
- "component_name": "Message",
- "params": {
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- ]
- }
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- "upstream": [
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- "params": {
- "enablePrologue": true,
- "inputs": {},
- "mode": "conversational",
- "prologue": "Hi! I'm an official AI customer service representative. How can I help you?"
- }
- },
- "upstream": []
- }
- },
- "globals": {
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- "sys.files": [],
- "sys.query": "",
- "sys.user_id": ""
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- "enablePrologue": true,
- "inputs": {},
- "mode": "conversational",
- "prologue": "Hi! I'm an official AI customer service representative. How can I help you?"
- },
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- "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": {
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- "presencePenaltyEnabled": false,
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- "content": "The user query is {sys.query}",
- "role": "user"
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- "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,
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- "parameter": "Balance",
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- "prompts": [
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- "role": "user"
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- "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": ""
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- "label": "Agent",
- "name": "Casual Agent"
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- "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. ",
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- "user_prompt": "This is the order you need to send to the agent.",
- "visual_files_var": ""
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- "name": "Soothe Agent"
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- "content": "{sys.query}",
- "role": "user"
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- "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",
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- "name": "flow.tool_0"
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