{
    "id": 27,
    "title": {
        "en": "Interactive Agent",
        "de": "Interaktiver Agent",
        "zh": "可交互的 Agent"
    },
    "description": {
        "en": "During the Agent’s execution, users can actively intervene and interact with the Agent to adjust or guide its output, ensuring the final result aligns with their intentions.",
        "de": "Wahrend der Ausführung des Agenten können Benutzer aktiv eingreifen und mit dem Agenten interagieren, um dessen Ausgabe zu steuern, sodass das Endergebnis ihren Vorstellungen entspricht.",
        "zh": "在 Agent 的运行过程中，用户可以随时介入，与 Agent 进行交互，以调整或引导生成结果，使最终输出更符合预期。"
    },
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                "UserFillUp:GoldBroomsRelate"
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                "description": "",
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                "exception_goto": [],
                "exception_method": "",
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                "frequency_penalty": 0.7,
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                "max_retries": 3,
                "max_rounds": 1,
                "max_tokens": 256,
                "mcp": [],
                "message_history_window_size": 12,
                "outputs": {
                    "content": {
                    "type": "string",
                    "value": ""
                    },
                    "structured": {}
                },
                "presencePenaltyEnabled": false,
                "presence_penalty": 0.4,
                "prompts": [
                    {
                    "content": "User query:{sys.query}",
                    "role": "user"
                    }
                ],
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                "temperatureEnabled": false,
                "tools": [],
                "topPEnabled": false,
                "top_p": 0.3,
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                "visual_files_var": ""
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            },
            "upstream": [
                "begin"
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            },
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                "Message:FreshWallsStudy"
            ],
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                "delay_after_error": 1,
                "description": "",
                "exception_default_value": "",
                "exception_goto": [],
                "exception_method": "",
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                "max_retries": 3,
                "max_rounds": 1,
                "max_tokens": 256,
                "mcp": [],
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                "outputs": {
                    "content": {
                    "type": "string",
                    "value": ""
                    },
                    "structured": {}
                },
                "presencePenaltyEnabled": false,
                "presence_penalty": 0.4,
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                    "role": "user"
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                ],
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                    "component_name": "Retrieval",
                    "name": "Retrieval",
                    "params": {
                        "cross_languages": [],
                        "description": "",
                        "empty_response": "",
                        "kb_ids": [],
                        "keywords_similarity_weight": 0.7,
                        "outputs": {
                        "formalized_content": {
                            "type": "string",
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                        "json": {
                            "type": "Array<Object>",
                            "value": []
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                "top_p": 0.3,
                "user_prompt": "",
                "visual_files_var": ""
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            },
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            "obj": {
                "component_name": "Message",
                "params": {
                "content": [
                    "{Agent:TangyWordsType@content}"
                ]
                }
            },
            "upstream": [
                "Agent:TangyWordsType"
            ]
            },
            "UserFillUp:GoldBroomsRelate": {
            "downstream": [
                "Agent:TangyWordsType"
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                "component_name": "UserFillUp",
                "params": {
                "enable_tips": true,
                "inputs": {
                    "instructions": {
                    "name": "instructions",
                    "optional": false,
                    "options": [],
                    "type": "paragraph"
                    }
                },
                "outputs": {
                    "instructions": {
                    "name": "instructions",
                    "optional": false,
                    "options": [],
                    "type": "paragraph"
                    }
                },
                "tips": "Here is my search plan:\n{Agent:LargeFliesMelt@content}\nAre you okay with it?"
                }
            },
            "upstream": [
                "Agent:LargeFliesMelt"
            ]
            },
            "begin": {
            "downstream": [
                "Agent:LargeFliesMelt"
            ],
            "obj": {
                "component_name": "Begin",
                "params": {}
            },
            "upstream": []
            }
        },
        "globals": {
            "sys.conversation_turns": 0,
            "sys.files": [],
            "sys.query": "",
            "sys.user_id": ""
        },
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                "isHovered": false
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                "sourceHandle": "start",
                "target": "Agent:LargeFliesMelt",
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                "source": "Agent:LargeFliesMelt",
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                "targetHandle": "end"
            },
            {
                "data": {
                "isHovered": false
                },
                "id": "xy-edge__UserFillUp:GoldBroomsRelatestart-Agent:TangyWordsTypeend",
                "source": "UserFillUp:GoldBroomsRelate",
                "sourceHandle": "start",
                "target": "Agent:TangyWordsType",
                "targetHandle": "end"
            },
            {
                "id": "xy-edge__Agent:TangyWordsTypetool-Tool:NastyBatsGoend",
                "source": "Agent:TangyWordsType",
                "sourceHandle": "tool",
                "target": "Tool:NastyBatsGo",
                "targetHandle": "end"
            },
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                "id": "xy-edge__Agent:TangyWordsTypestart-Message:FreshWallsStudyend",
                "source": "Agent:TangyWordsType",
                "sourceHandle": "start",
                "target": "Message:FreshWallsStudy",
                "targetHandle": "end"
            }
            ],
            "nodes": [
            {
                "data": {
                "label": "Begin",
                "name": "begin"
                },
                "dragging": false,
                "id": "begin",
                "measured": {
                "height": 50,
                "width": 200
                },
                "position": {
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                "selected": false,
                "sourcePosition": "left",
                "targetPosition": "right",
                "type": "beginNode"
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            {
                "data": {
                "form": {
                    "cite": true,
                    "delay_after_error": 1,
                    "description": "",
                    "exception_default_value": "",
                    "exception_goto": [],
                    "exception_method": "",
                    "frequencyPenaltyEnabled": false,
                    "frequency_penalty": 0.7,
                    "llm_id": "qwen-turbo@Tongyi-Qianwen",
                    "maxTokensEnabled": false,
                    "max_retries": 3,
                    "max_rounds": 1,
                    "max_tokens": 256,
                    "mcp": [],
                    "message_history_window_size": 12,
                    "outputs": {
                    "content": {
                        "type": "string",
                        "value": ""
                    },
                    "structured": {}
                    },
                    "presencePenaltyEnabled": false,
                    "presence_penalty": 0.4,
                    "prompts": [
                    {
                        "content": "User query:{sys.query}",
                        "role": "user"
                    }
                    ],
                    "sys_prompt": "<role>\nYou are the Planning Agent in a multi-agent RAG workflow.\nYour sole job is to design a crisp, executable Search Plan for the next agent. Do not search or answer the user’s question.\n</role>\n<objectives>\nUnderstand the user’s task and decompose it into evidence-seeking steps.\nProduce high-quality queries and retrieval settings tailored to the task type (fact lookup, multi-hop reasoning, comparison, statistics, how-to, etc.).\nIdentify missing information that would materially change the plan (≤3 concise questions).\nOptimize for source trustworthiness, diversity, and recency; define stopping criteria to avoid over-searching.\nAnswer in 150 words.\n<objectives>",
                    "temperature": 0.1,
                    "temperatureEnabled": false,
                    "tools": [],
                    "topPEnabled": false,
                    "top_p": 0.3,
                    "user_prompt": "",
                    "visual_files_var": ""
                },
                "label": "Agent",
                "name": "Planning Agent"
                },
                "dragging": false,
                "id": "Agent:LargeFliesMelt",
                "measured": {
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                "width": 200
                },
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                "sourcePosition": "right",
                "targetPosition": "left",
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                "data": {
                "form": {
                    "enable_tips": true,
                    "inputs": {
                    "instructions": {
                        "name": "instructions",
                        "optional": false,
                        "options": [],
                        "type": "paragraph"
                    }
                    },
                    "outputs": {
                    "instructions": {
                        "name": "instructions",
                        "optional": false,
                        "options": [],
                        "type": "paragraph"
                    }
                    },
                    "tips": "Here is my search plan:\n{Agent:LargeFliesMelt@content}\nAre you okay with it?"
                },
                "label": "UserFillUp",
                "name": "Await Response"
                },
                "dragging": false,
                "id": "UserFillUp:GoldBroomsRelate",
                "measured": {
                "height": 50,
                "width": 200
                },
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                "targetPosition": "left",
                "type": "ragNode"
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                "data": {
                "form": {
                    "cite": true,
                    "delay_after_error": 1,
                    "description": "",
                    "exception_default_value": "",
                    "exception_goto": [],
                    "exception_method": "",
                    "frequencyPenaltyEnabled": false,
                    "frequency_penalty": 0.7,
                    "llm_id": "qwen-turbo@Tongyi-Qianwen",
                    "maxTokensEnabled": false,
                    "max_retries": 3,
                    "max_rounds": 1,
                    "max_tokens": 256,
                    "mcp": [],
                    "message_history_window_size": 12,
                    "outputs": {
                    "content": {
                        "type": "string",
                        "value": ""
                    },
                    "structured": {}
                    },
                    "presencePenaltyEnabled": false,
                    "presence_penalty": 0.4,
                    "prompts": [
                    {
                        "content": "Search Plan: {Agent:LargeFliesMelt@content}\n\n\n\nAwait Response feedback:{UserFillUp:GoldBroomsRelate@instructions}\n",
                        "role": "user"
                    }
                    ],
                    "sys_prompt": "<role>\nYou are the Search Agent.\nYour job is to execute the approved Search Plan, integrate the Await Response feedback, retrieve evidence, and produce a well-grounded answer.\n</role>\n<objectives>\nTranslate the plan + feedback into concrete searches.\nCollect diverse, trustworthy, and recent evidence meeting the plan’s evidence bar.\nSynthesize a concise answer; include citations next to claims they support.\nIf evidence is insufficient or conflicting, clearly state limitations and propose next steps.\n</objectives>\n <tools>\nRetrieval: You must use Retrieval to do the search.\n </tools>\n",
                    "temperature": 0.1,
                    "temperatureEnabled": false,
                    "tools": [
                    {
                        "component_name": "Retrieval",
                        "name": "Retrieval",
                        "params": {
                        "cross_languages": [],
                        "description": "",
                        "empty_response": "",
                        "kb_ids": [],
                        "keywords_similarity_weight": 0.7,
                        "outputs": {
                            "formalized_content": {
                            "type": "string",
                            "value": ""
                            },
                            "json": {
                            "type": "Array<Object>",
                            "value": []
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                        "similarity_threshold": 0.2,
                        "toc_enhance": false,
                        "top_k": 1024,
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                        "use_kg": false
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                    }
                    ],
                    "topPEnabled": false,
                    "top_p": 0.3,
                    "user_prompt": "",
                    "visual_files_var": ""
                },
                "label": "Agent",
                "name": "Search Agent"
                },
                "dragging": false,
                "id": "Agent:TangyWordsType",
                "measured": {
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                "width": 200
                },
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                "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"
                },
                "id": "Tool:NastyBatsGo",
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                "data": {
                "form": {
                    "content": [
                    "{Agent:TangyWordsType@content}"
                    ]
                },
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                "name": "Message"
                },
                "dragging": false,
                "id": "Message:FreshWallsStudy",
                "measured": {
                "height": 50,
                "width": 200
                },
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                "targetPosition": "left",
                "type": "messageNode"
            }
            ]
        },
        "history": [],
        "messages": [],
        "path": [],
        "retrieval": [],
        "variables": {}
        },
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}