{
    "id": 20,
    "title": {
        "en": "Report Agent Using Knowledge Base",
        "de": "Berichtsagent mit Wissensdatenbank",
        "zh": "知识库检索智能体"},
    "description": {
        "en": "A report generation assistant using local knowledge base, with advanced capabilities in task planning, reasoning, and reflective analysis. Recommended for academic research paper Q&A",
        "de": "Ein Berichtsgenerierungsassistent, der eine lokale Wissensdatenbank nutzt, mit erweiterten Fähigkeiten in Aufgabenplanung, Schlussfolgerung und reflektierender Analyse. Empfohlen für akademische Forschungspapier-Fragen und -Antworten.",
        "zh": "一个使用本地知识库的报告生成助手，具备高级能力，包括任务规划、推理和反思性分析。推荐用于学术研究论文问答。"},
    "canvas_type": "Agent",
    "dsl": {
        "components": {
            "Agent:NewPumasLick": {
                "downstream": [
                    "Message:OrangeYearsShine"
                ],
                "obj": {
                    "component_name": "Agent",
                    "params": {
                        "delay_after_error": 1,
                        "description": "",
                        "exception_comment": "",
                        "exception_default_value": "",
                        "exception_goto": [],
                        "exception_method": null,
                        "frequencyPenaltyEnabled": false,
                        "frequency_penalty": 0.5,
                        "llm_id": "qwen3-235b-a22b-instruct-2507@Tongyi-Qianwen",
                        "maxTokensEnabled": true,
                        "max_retries": 3,
                        "max_rounds": 3,
                        "max_tokens": 128000,
                        "mcp": [],
                        "message_history_window_size": 12,
                        "outputs": {
                            "content": {
                                "type": "string",
                                "value": ""
                            }
                        },
                        "parameter": "Precise",
                        "presencePenaltyEnabled": false,
                        "presence_penalty": 0.5,
                        "prompts": [
                            {
                                "content": "# User Query\n {sys.query}",
                                "role": "user"
                            }
                        ],
                        "sys_prompt": "## Role & Task\nYou are a **\u201cKnowledge Base Retrieval Q\\&A Agent\u201d** whose goal is to break down the user\u2019s question into retrievable subtasks, and then produce a multi-source-verified, structured, and actionable research report using the internal knowledge base.\n## Execution Framework (Detailed Steps & Key Points)\n1. **Assessment & Decomposition**\n   * Actions:\n     * Automatically extract: main topic, subtopics, entities (people/organizations/products/technologies), time window, geographic/business scope.\n     * Output as a list: N facts/data points that must be collected (*N* ranges from 5\u201320 depending on question complexity).\n2. **Query Type Determination (Rule-Based)**\n   * Example rules:\n     * If the question involves a single issue but requests \u201cmethod comparison/multiple explanations\u201d \u2192 use **depth-first**.\n     * If the question can naturally be split into \u22653 independent sub-questions \u2192 use **breadth-first**.\n     * If the question can be answered by a single fact/specification/definition \u2192 use **simple query**.\n3. **Research Plan Formulation**\n   * Depth-first: define 3\u20135 perspectives (methodology/stakeholders/time dimension/technical route, etc.), assign search keywords, target document types, and output format for each perspective.\n   * Breadth-first: list subtasks, prioritize them, and assign search terms.\n   * Simple query: directly provide the search sentence and required fields.\n4. **Retrieval Execution**\n   * After retrieval: perform coverage check (does it contain the key facts?) and quality check (source diversity, authority, latest update time).\n   * If standards are not met, automatically loop: rewrite queries (synonyms/cross-domain terms) and retry \u22643 times, or flag as requiring external search.\n5. **Integration & Reasoning**\n   * Build the answer using a **fact\u2013evidence\u2013reasoning** chain. For each conclusion, attach 1\u20132 strongest pieces of evidence.\n---\n## Quality Gate Checklist (Verify at Each Stage)\n* **Stage 1 (Decomposition)**:\n  * [ ] Key concepts and expected outputs identified\n  * [ ] Required facts/data points listed\n* **Stage 2 (Retrieval)**:\n  * [ ] Meets quality standards (see above)\n  * [ ] If not met: execute query iteration\n* **Stage 3 (Generation)**:\n  * [ ] Each conclusion has at least one direct evidence source\n  * [ ] State assumptions/uncertainties\n  * [ ] Provide next-step suggestions or experiment/retrieval plans\n  * [ ] Final length and depth match user expectations (comply with word count/format if specified)\n---\n## Core Principles\n1. **Strict reliance on the knowledge base**: answers must be **fully bounded** by the content retrieved from the knowledge base.\n2. **No fabrication**: do not generate, infer, or create information that is not explicitly present in the knowledge base.\n3. **Accuracy first**: prefer incompleteness over inaccurate content.\n4. **Output format**:\n   * Hierarchically clear modular structure\n   * Logical grouping according to the MECE principle\n   * Professionally presented formatting\n   * Step-by-step cognitive guidance\n   * Reasonable use of headings and dividers for clarity\n   * *Italicize* key parameters\n   * **Bold** critical information\n5. **LaTeX formula requirements**:\n   * Inline formulas: start and end with `$`\n   * Block formulas: start and end with `$$`, each `$$` on its own line\n   * Block formula content must comply with LaTeX math syntax\n   * Verify formula correctness\n---\n## Additional Notes (Interaction & Failure Strategy)\n* If the knowledge base does not cover critical facts: explicitly inform the user (with sample wording)\n* For time-sensitive issues: enforce time filtering in the search request, and indicate the latest retrieval date in the answer.\n* Language requirement: answer in the user\u2019s preferred language\n",
                        "temperature": "0.1",
                        "temperatureEnabled": true,
                        "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": ""
                                        }
                                    },
                                    "rerank_id": "",
                                    "similarity_threshold": 0.2,
                                    "top_k": 1024,
                                    "top_n": 8,
                                    "use_kg": false
                                }
                            }
                        ],
                        "topPEnabled": false,
                        "top_p": 0.75,
                        "user_prompt": "",
                        "visual_files_var": ""
                    }
                },
                "upstream": [
                    "begin"
                ]
            },
            "Message:OrangeYearsShine": {
                "downstream": [],
                "obj": {
                    "component_name": "Message",
                    "params": {
                        "content": [
                            "{Agent:NewPumasLick@content}"
                        ]
                    }
                },
                "upstream": [
                    "Agent:NewPumasLick"
                ]
            },
            "begin": {
                "downstream": [
                    "Agent:NewPumasLick"
                ],
                "obj": {
                    "component_name": "Begin",
                    "params": {
                        "enablePrologue": true,
                        "inputs": {},
                        "mode": "conversational",
                        "prologue": "\u4f60\u597d\uff01 \u6211\u662f\u4f60\u7684\u52a9\u7406\uff0c\u6709\u4ec0\u4e48\u53ef\u4ee5\u5e2e\u5230\u4f60\u7684\u5417\uff1f"
                    }
                },
                "upstream": []
            }
        },
        "globals": {
            "sys.conversation_turns": 0,
            "sys.files": [],
            "sys.query": "",
            "sys.user_id": ""
        },
        "graph": {
            "edges": [
                {
                    "data": {
                        "isHovered": false
                    },
                    "id": "xy-edge__beginstart-Agent:NewPumasLickend",
                    "source": "begin",
                    "sourceHandle": "start",
                    "target": "Agent:NewPumasLick",
                    "targetHandle": "end"
                },
                {
                    "data": {
                        "isHovered": false
                    },
                    "id": "xy-edge__Agent:NewPumasLickstart-Message:OrangeYearsShineend",
                    "markerEnd": "logo",
                    "source": "Agent:NewPumasLick",
                    "sourceHandle": "start",
                    "style": {
                        "stroke": "rgba(91, 93, 106, 1)",
                        "strokeWidth": 1
                    },
                    "target": "Message:OrangeYearsShine",
                    "targetHandle": "end",
                    "type": "buttonEdge",
                    "zIndex": 1001
                },
                {
                    "data": {
                        "isHovered": false
                    },
                    "id": "xy-edge__Agent:NewPumasLicktool-Tool:AllBirdsNailend",
                    "selected": false,
                    "source": "Agent:NewPumasLick",
                    "sourceHandle": "tool",
                    "target": "Tool:AllBirdsNail",
                    "targetHandle": "end"
                }
            ],
            "nodes": [
                {
                    "data": {
                        "form": {
                            "enablePrologue": true,
                            "inputs": {},
                            "mode": "conversational",
                            "prologue": "\u4f60\u597d\uff01 \u6211\u662f\u4f60\u7684\u52a9\u7406\uff0c\u6709\u4ec0\u4e48\u53ef\u4ee5\u5e2e\u5230\u4f60\u7684\u5417\uff1f"
                        },
                        "label": "Begin",
                        "name": "begin"
                    },
                    "dragging": false,
                    "id": "begin",
                    "measured": {
                        "height": 48,
                        "width": 200
                    },
                    "position": {
                        "x": -9.569875358221438,
                        "y": 205.84018385864917
                    },
                    "selected": false,
                    "sourcePosition": "left",
                    "targetPosition": "right",
                    "type": "beginNode"
                },
                {
                    "data": {
                        "form": {
                            "content": [
                                "{Agent:NewPumasLick@content}"
                            ]
                        },
                        "label": "Message",
                        "name": "Response"
                    },
                    "dragging": false,
                    "id": "Message:OrangeYearsShine",
                    "measured": {
                        "height": 56,
                        "width": 200
                    },
                    "position": {
                        "x": 734.4061285881053,
                        "y": 199.9706031723009
                    },
                    "selected": false,
                    "sourcePosition": "right",
                    "targetPosition": "left",
                    "type": "messageNode"
                },
                {
                    "data": {
                        "form": {
                            "delay_after_error": 1,
                            "description": "",
                            "exception_comment": "",
                            "exception_default_value": "",
                            "exception_goto": [],
                            "exception_method": null,
                            "frequencyPenaltyEnabled": false,
                            "frequency_penalty": 0.5,
                            "llm_id": "qwen3-235b-a22b-instruct-2507@Tongyi-Qianwen",
                            "maxTokensEnabled": true,
                            "max_retries": 3,
                            "max_rounds": 3,
                            "max_tokens": 128000,
                            "mcp": [],
                            "message_history_window_size": 12,
                            "outputs": {
                                "content": {
                                    "type": "string",
                                    "value": ""
                                }
                            },
                            "parameter": "Precise",
                            "presencePenaltyEnabled": false,
                            "presence_penalty": 0.5,
                            "prompts": [
                                {
                                    "content": "# User Query\n {sys.query}",
                                    "role": "user"
                                }
                            ],
                            "sys_prompt": "## Role & Task\nYou are a **\u201cKnowledge Base Retrieval Q\\&A Agent\u201d** whose goal is to break down the user\u2019s question into retrievable subtasks, and then produce a multi-source-verified, structured, and actionable research report using the internal knowledge base.\n## Execution Framework (Detailed Steps & Key Points)\n1. **Assessment & Decomposition**\n   * Actions:\n     * Automatically extract: main topic, subtopics, entities (people/organizations/products/technologies), time window, geographic/business scope.\n     * Output as a list: N facts/data points that must be collected (*N* ranges from 5\u201320 depending on question complexity).\n2. **Query Type Determination (Rule-Based)**\n   * Example rules:\n     * If the question involves a single issue but requests \u201cmethod comparison/multiple explanations\u201d \u2192 use **depth-first**.\n     * If the question can naturally be split into \u22653 independent sub-questions \u2192 use **breadth-first**.\n     * If the question can be answered by a single fact/specification/definition \u2192 use **simple query**.\n3. **Research Plan Formulation**\n   * Depth-first: define 3\u20135 perspectives (methodology/stakeholders/time dimension/technical route, etc.), assign search keywords, target document types, and output format for each perspective.\n   * Breadth-first: list subtasks, prioritize them, and assign search terms.\n   * Simple query: directly provide the search sentence and required fields.\n4. **Retrieval Execution**\n   * After retrieval: perform coverage check (does it contain the key facts?) and quality check (source diversity, authority, latest update time).\n   * If standards are not met, automatically loop: rewrite queries (synonyms/cross-domain terms) and retry \u22643 times, or flag as requiring external search.\n5. **Integration & Reasoning**\n   * Build the answer using a **fact\u2013evidence\u2013reasoning** chain. For each conclusion, attach 1\u20132 strongest pieces of evidence.\n---\n## Quality Gate Checklist (Verify at Each Stage)\n* **Stage 1 (Decomposition)**:\n  * [ ] Key concepts and expected outputs identified\n  * [ ] Required facts/data points listed\n* **Stage 2 (Retrieval)**:\n  * [ ] Meets quality standards (see above)\n  * [ ] If not met: execute query iteration\n* **Stage 3 (Generation)**:\n  * [ ] Each conclusion has at least one direct evidence source\n  * [ ] State assumptions/uncertainties\n  * [ ] Provide next-step suggestions or experiment/retrieval plans\n  * [ ] Final length and depth match user expectations (comply with word count/format if specified)\n---\n## Core Principles\n1. **Strict reliance on the knowledge base**: answers must be **fully bounded** by the content retrieved from the knowledge base.\n2. **No fabrication**: do not generate, infer, or create information that is not explicitly present in the knowledge base.\n3. **Accuracy first**: prefer incompleteness over inaccurate content.\n4. **Output format**:\n   * Hierarchically clear modular structure\n   * Logical grouping according to the MECE principle\n   * Professionally presented formatting\n   * Step-by-step cognitive guidance\n   * Reasonable use of headings and dividers for clarity\n   * *Italicize* key parameters\n   * **Bold** critical information\n5. **LaTeX formula requirements**:\n   * Inline formulas: start and end with `$`\n   * Block formulas: start and end with `$$`, each `$$` on its own line\n   * Block formula content must comply with LaTeX math syntax\n   * Verify formula correctness\n---\n## Additional Notes (Interaction & Failure Strategy)\n* If the knowledge base does not cover critical facts: explicitly inform the user (with sample wording)\n* For time-sensitive issues: enforce time filtering in the search request, and indicate the latest retrieval date in the answer.\n* Language requirement: answer in the user\u2019s preferred language\n",
                            "temperature": "0.1",
                            "temperatureEnabled": true,
                            "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": ""
                                            }
                                        },
                                        "rerank_id": "",
                                        "similarity_threshold": 0.2,
                                        "top_k": 1024,
                                        "top_n": 8,
                                        "use_kg": false
                                    }
                                }
                            ],
                            "topPEnabled": false,
                            "top_p": 0.75,
                            "user_prompt": "",
                            "visual_files_var": ""
                        },
                        "label": "Agent",
                        "name": "Knowledge Base Agent"
                    },
                    "dragging": false,
                    "id": "Agent:NewPumasLick",
                    "measured": {
                        "height": 84,
                        "width": 200
                    },
                    "position": {
                        "x": 347.00048227952215,
                        "y": 186.49109364794631
                    },
                    "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_10"
                    },
                    "dragging": false,
                    "id": "Tool:AllBirdsNail",
                    "measured": {
                        "height": 48,
                        "width": 200
                    },
                    "position": {
                        "x": 220.24819746977118,
                        "y": 403.31576836482583
                    },
                    "selected": false,
                    "sourcePosition": "right",
                    "targetPosition": "left",
                    "type": "toolNode"
                }
            ]
        },
        "history": [],
        "memory": [],
        "messages": [],
        "path": [],
        "retrieval": []
    },
    "avatar": "data:image/png;base64,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"
}