ragflow/agent/templates/user_interaction.json

{
    "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。"
    },
    "canvas_type": "Agent",
    "dsl": {
        "components": {
            "Agent:LargeFliesMelt": {
                "downstream": [
                    "UserFillUp:GoldBroomsRelate"
                ],
                "obj": {
                    "component_name": "Agent",
                    "params": {
                        "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": ""
                    }
                },
                "upstream": [
                    "begin"
                ]
            },
            "Agent:TangyWordsType": {
                "downstream": [
                    "Message:FreshWallsStudy"
                ],
                "obj": {
                    "component_name": "Agent",
                    "params": {
                        "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": [],
                                    "retrieval_from": "dataset",
                                    "keywords_similarity_weight": 0.7,
                                    "outputs": {
                                        "formalized_content": {
                                            "type": "string",
                                            "value": ""
                                        },
                                        "json": {
                                            "type": "Array<Object>",
                                            "value": []
                                        }
                                    },
                                    "rerank_id": "",
                                    "similarity_threshold": 0.2,
                                    "toc_enhance": false,
                                    "top_k": 1024,
                                    "top_n": 8,
                                    "use_kg": false
                                },
                                "id": "Retrieval:WarmRiversMarch"
                            }
                        ],
                        "topPEnabled": false,
                        "top_p": 0.3,
                        "user_prompt": "",
                        "visual_files_var": ""
                    }
                },
                "upstream": [
                    "UserFillUp:GoldBroomsRelate"
                ]
            },
            "Message:FreshWallsStudy": {
                "downstream": [],
                "obj": {
                    "component_name": "Message",
                    "params": {
                        "content": [
                            "{Agent:TangyWordsType@content}"
                        ]
                    }
                },
                "upstream": [
                    "Agent:TangyWordsType"
                ]
            },
            "UserFillUp:GoldBroomsRelate": {
                "downstream": [
                    "Agent:TangyWordsType"
                ],
                "obj": {
                    "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": ""
        },
        "graph": {
            "edges": [
                {
                    "data": {
                        "isHovered": false
                    },
                    "id": "xy-edge__beginstart-Agent:LargeFliesMeltend",
                    "source": "begin",
                    "sourceHandle": "start",
                    "target": "Agent:LargeFliesMelt",
                    "targetHandle": "end"
                },
                {
                    "data": {
                        "isHovered": false
                    },
                    "id": "xy-edge__Agent:LargeFliesMeltstart-UserFillUp:GoldBroomsRelateend",
                    "source": "Agent:LargeFliesMelt",
                    "sourceHandle": "start",
                    "target": "UserFillUp:GoldBroomsRelate",
                    "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"
                },
                {
                    "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": {
                        "x": 154.9008789064451,
                        "y": 119.51001744285344
                    },
                    "selected": false,
                    "sourcePosition": "left",
                    "targetPosition": "right",
                    "type": "beginNode"
                },
                {
                    "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": {
                        "height": 90,
                        "width": 200
                    },
                    "position": {
                        "x": 443.96309330796714,
                        "y": 104.61370811205677
                    },
                    "selected": false,
                    "sourcePosition": "right",
                    "targetPosition": "left",
                    "type": "agentNode"
                },
                {
                    "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
                    },
                    "position": {
                        "x": 683.3409492927474,
                        "y": 116.76274137645598
                    },
                    "selected": false,
                    "sourcePosition": "right",
                    "targetPosition": "left",
                    "type": "ragNode"
                },
                {
                    "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": [],
                                        "retrieval_from": "dataset",
                                        "keywords_similarity_weight": 0.7,
                                        "outputs": {
                                            "formalized_content": {
                                                "type": "string",
                                                "value": ""
                                            },
                                            "json": {
                                                "type": "Array<Object>",
                                                "value": []
                                            }
                                        },
                                        "rerank_id": "",
                                        "similarity_threshold": 0.2,
                                        "toc_enhance": false,
                                        "top_k": 1024,
                                        "top_n": 8,
                                        "use_kg": false
                                    },
                                    "id": "Retrieval:BrightMoonsGlow"
                                }
                            ],
                            "topPEnabled": false,
                            "top_p": 0.3,
                            "user_prompt": "",
                            "visual_files_var": ""
                        },
                        "label": "Agent",
                        "name": "Search Agent"
                    },
                    "dragging": false,
                    "id": "Agent:TangyWordsType",
                    "measured": {
                        "height": 90,
                        "width": 200
                    },
                    "position": {
                        "x": 944.6411255659472,
                        "y": 99.84499066368488
                    },
                    "selected": true,
                    "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",
                    "measured": {
                        "height": 50,
                        "width": 200
                    },
                    "position": {
                        "x": 862.6411255659472,
                        "y": 239.84499066368488
                    },
                    "sourcePosition": "right",
                    "targetPosition": "left",
                    "type": "toolNode"
                },
                {
                    "data": {
                        "form": {
                            "content": [
                                "{Agent:TangyWordsType@content}"
                            ]
                        },
                        "label": "Message",
                        "name": "Message"
                    },
                    "dragging": false,
                    "id": "Message:FreshWallsStudy",
                    "measured": {
                        "height": 50,
                        "width": 200
                    },
                    "position": {
                        "x": 1216.7057997987163,
                        "y": 120.48541298149814
                    },
                    "selected": false,
                    "sourcePosition": "right",
                    "targetPosition": "left",
                    "type": "messageNode"
                }
            ]
        },
        "history": [],
        "messages": [],
        "path": [],
        "retrieval": [],
        "variables": {}
    },
    "avatar": "data:image/png;base64,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
}