| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331 |
-
- {
- "id": 9,
- "title": "Technical Docs QA",
- "description": "This is a document question-and-answer system based on a knowledge base. When a user asks a question, it retrieves relevant document content to provide accurate answers.",
- "canvas_type": "Customer Support",
- "dsl": {
- "components": {
- "Agent:StalePandasDream": {
- "downstream": [
- "Message:BrownPugsStick"
- ],
- "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}",
- "role": "user"
- }
- ],
- "sys_prompt": "# Role\n\nYou are the **Docs QA Agent**, a specialized knowledge base assistant responsible for providing accurate answers based strictly on the connected documentation repository.\n\n# Core Principles\n\n1. **Knowledge Base Only**: Answer questions EXCLUSIVELY based on information retrieved from the connected knowledge base.\n\n2. **No Content Creation**: Never generate, infer, or create information that is not explicitly present in the retrieved documents.\n\n3. **Source Transparency**: Always indicate when information comes from the knowledge base vs. when it's unavailable.\n\n4. **Accuracy Over Completeness**: Prefer incomplete but accurate answers over complete but potentially inaccurate ones.\n\n# Response Guidelines\n\n## When Information is Available\n\n- Provide direct answers based on retrieved content\n\n- Quote relevant sections when helpful\n\n- Cite the source document/section if available\n\n- Use phrases like: \"According to the documentation...\" or \"Based on the knowledge base...\"\n\n## When Information is Unavailable\n\n- Clearly state: \"I cannot find this information in the current knowledge base.\"\n\n- Do NOT attempt to fill gaps with general knowledge\n\n- Suggest alternative questions that might be covered in the docs\n\n- Use phrases like: \"The documentation does not cover...\" or \"This information is not available in the knowledge base.\"\n\n# Response Format\n\n```markdown\n\n## Answer\n\n[Your response based strictly on knowledge base content]\n\n**Always do these:**\n\n- Use the Retrieval tool for every question\n\n- Be transparent about information availability\n\n- Stick to documented facts only\n\n- Acknowledge knowledge base limitations\n\n",
- "temperature": 0.1,
- "temperatureEnabled": true,
- "tools": [
- {
- "component_name": "Retrieval",
- "name": "Retrieval",
- "params": {
- "cross_languages": [],
- "description": "This is a technical docs knowledge bases.",
- "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": "",
- "visual_files_var": ""
- }
- },
- "upstream": [
- "begin"
- ]
- },
- "Message:BrownPugsStick": {
- "downstream": [],
- "obj": {
- "component_name": "Message",
- "params": {
- "content": [
- "{Agent:StalePandasDream@content}"
- ]
- }
- },
- "upstream": [
- "Agent:StalePandasDream"
- ]
- },
- "begin": {
- "downstream": [
- "Agent:StalePandasDream"
- ],
- "obj": {
- "component_name": "Begin",
- "params": {}
- },
- "upstream": []
- }
- },
- "globals": {
- "sys.conversation_turns": 0,
- "sys.files": [],
- "sys.query": "",
- "sys.user_id": ""
- },
- "graph": {
- "edges": [
- {
- "data": {
- "isHovered": false
- },
- "id": "xy-edge__beginstart-Agent:StalePandasDreamend",
- "source": "begin",
- "sourceHandle": "start",
- "target": "Agent:StalePandasDream",
- "targetHandle": "end"
- },
- {
- "data": {
- "isHovered": false
- },
- "id": "xy-edge__Agent:StalePandasDreamstart-Message:BrownPugsStickend",
- "source": "Agent:StalePandasDream",
- "sourceHandle": "start",
- "target": "Message:BrownPugsStick",
- "targetHandle": "end"
- },
- {
- "id": "xy-edge__Agent:StalePandasDreamtool-Tool:PrettyMasksFloatend",
- "source": "Agent:StalePandasDream",
- "sourceHandle": "tool",
- "target": "Tool:PrettyMasksFloat",
- "targetHandle": "end"
- }
- ],
- "nodes": [
- {
- "data": {
- "label": "Begin",
- "name": "begin"
- },
- "dragging": false,
- "id": "begin",
- "measured": {
- "height": 48,
- "width": 200
- },
- "position": {
- "x": 47.500000000000014,
- "y": 199.5
- },
- "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": 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}",
- "role": "user"
- }
- ],
- "sys_prompt": "# Role\n\nYou are the **Docs QA Agent**, a specialized knowledge base assistant responsible for providing accurate answers based strictly on the connected documentation repository.\n\n# Core Principles\n\n1. **Knowledge Base Only**: Answer questions EXCLUSIVELY based on information retrieved from the connected knowledge base.\n\n2. **No Content Creation**: Never generate, infer, or create information that is not explicitly present in the retrieved documents.\n\n3. **Source Transparency**: Always indicate when information comes from the knowledge base vs. when it's unavailable.\n\n4. **Accuracy Over Completeness**: Prefer incomplete but accurate answers over complete but potentially inaccurate ones.\n\n# Response Guidelines\n\n## When Information is Available\n\n- Provide direct answers based on retrieved content\n\n- Quote relevant sections when helpful\n\n- Cite the source document/section if available\n\n- Use phrases like: \"According to the documentation...\" or \"Based on the knowledge base...\"\n\n## When Information is Unavailable\n\n- Clearly state: \"I cannot find this information in the current knowledge base.\"\n\n- Do NOT attempt to fill gaps with general knowledge\n\n- Suggest alternative questions that might be covered in the docs\n\n- Use phrases like: \"The documentation does not cover...\" or \"This information is not available in the knowledge base.\"\n\n# Response Format\n\n```markdown\n\n## Answer\n\n[Your response based strictly on knowledge base content]\n\n**Always do these:**\n\n- Use the Retrieval tool for every question\n\n- Be transparent about information availability\n\n- Stick to documented facts only\n\n- Acknowledge knowledge base limitations\n\n",
- "temperature": 0.1,
- "temperatureEnabled": true,
- "tools": [
- {
- "component_name": "Retrieval",
- "name": "Retrieval",
- "params": {
- "cross_languages": [],
- "description": "This is a technical docs knowledge bases.",
- "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": "",
- "visual_files_var": ""
- },
- "label": "Agent",
- "name": "Docs QA Agent"
- },
- "dragging": false,
- "id": "Agent:StalePandasDream",
- "measured": {
- "height": 87,
- "width": 200
- },
- "position": {
- "x": 351.5,
- "y": 231
- },
- "selected": true,
- "sourcePosition": "right",
- "targetPosition": "left",
- "type": "agentNode"
- },
- {
- "data": {
- "form": {
- "content": [
- "{Agent:StalePandasDream@content}"
- ]
- },
- "label": "Message",
- "name": "Message_0"
- },
- "dragging": false,
- "id": "Message:BrownPugsStick",
- "measured": {
- "height": 56,
- "width": 200
- },
- "position": {
- "x": 671.5,
- "y": 192.5
- },
- "selected": false,
- "sourcePosition": "right",
- "targetPosition": "left",
- "type": "messageNode"
- },
- {
- "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:PrettyMasksFloat",
- "measured": {
- "height": 48,
- "width": 200
- },
- "position": {
- "x": 234.5,
- "y": 370.5
- },
- "selected": false,
- "sourcePosition": "right",
- "targetPosition": "left",
- "type": "toolNode"
- },
- {
- "data": {
- "form": {
- "text": "This is a document question-and-answer system based on a knowledge base. When a user asks a question, it retrieves relevant document content to provide accurate answers.\nProcess Steps\n\n#Begin\n\nWorkflow entry: Receive user questions\n\nDocs QA Agent\n\nAI Model: deepseek-chat\n\nFunction: Analyze user questions and understand query intent\n\nRetrieval\n\nFunction: Search for relevant information from connected document knowledge bases\n\nFeature: Ensures answers are based on actual document content\n\nMessage_0 (Output Response)\n\nReturns accurate answers to the user based on the knowledge base\n\n#Core Features\n\nAccuracy: Answers are strictly based on knowledge base content\n\nReliability: Avoid AI illusions and only provide information that is verifiable\n\nSimplicity: Linear process with fast response\n\n#Applicable Scenarios\n\nProduct Documentation Query\n\nTechnical Support Q&A\n\nInternal Enterprise Knowledge Base Search\n\nUser Manual Consultation"
- },
- "label": "Note",
- "name": "Workflow Overall Description"
- },
- "dragHandle": ".note-drag-handle",
- "dragging": false,
- "height": 154,
- "id": "Note:SwiftSuitsFlow",
- "measured": {
- "height": 154,
- "width": 374
- },
- "position": {
- "x": 349.65276636527506,
- "y": 28.869446726944993
- },
- "resizing": false,
- "selected": false,
- "sourcePosition": "right",
- "targetPosition": "left",
- "type": "noteNode",
- "width": 374
- }
- ]
- },
- "history": [],
- "messages": [],
- "path": [],
- "retrieval": []
- },
- "avatar": "data:image/png;base64,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"
- }
|