{
    "id": 17,
    "title": {
        "en": "SQL Assistant",
        "de": "SQL Assistent",
        "zh": "SQL助理"},
    "description": {
        "en": "SQL Assistant is an AI-powered tool that lets business users turn plain-English questions into fully formed SQL queries. Simply type your question (e.g., 'Show me last quarter's top 10 products by revenue') and SQL Assistant generates the exact SQL, runs it against your database, and returns the results in seconds. ",
        "de": "SQL-Assistent ist ein KI-gestütztes Tool, mit dem Geschäftsanwender einfache englische Fragen in vollständige SQL-Abfragen umwandeln können. Geben Sie einfach Ihre Frage ein (z.B. 'Zeige mir die Top 10 Produkte des letzten Quartals nach Umsatz') und der SQL-Assistent generiert das exakte SQL, führt es gegen Ihre Datenbank aus und liefert die Ergebnisse in Sekunden.",
        "zh": "用户能够将简单文本问题转化为完整的SQL查询并输出结果。只需输入您的问题（例如，展示上个季度前十名按收入排序的产品），SQL助理就会生成精确的SQL语句，对其运行您的数据库，并几秒钟内返回结果。"},
    "canvas_type": "Marketing",
    "dsl": {
            "components": {
                "Agent:WickedGoatsDivide": {
                    "downstream": [
                        "ExeSQL:TiredShirtsPull"
                    ],
                    "obj": {
                        "component_name": "Agent",
                        "params": {
                            "delay_after_error": 1,
                            "description": "",
                            "exception_default_value": "",
                            "exception_goto": [],
                            "exception_method": "",
                            "frequencyPenaltyEnabled": false,
                            "frequency_penalty": 0.7,
                            "llm_id": "qwen-max@Tongyi-Qianwen",
                            "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": "User's query: {sys.query}\n\nSchema: {Retrieval:HappyTiesFilm@formalized_content}\n\nSamples about question to SQL: {Retrieval:SmartNewsHammer@formalized_content}\n\nDescription about meanings of tables and files: {Retrieval:SweetDancersAppear@formalized_content}",
                                    "role": "user"
                                }
                            ],
                            "sys_prompt": "### ROLE\nYou are a Text-to-SQL assistant.  \nGiven a relational database schema and a natural-language request, you must produce a **single, syntactically-correct MySQL query** that answers the request.  \nReturn **nothing except the SQL statement itself**\u2014no code fences, no commentary, no explanations, no comments, no trailing semicolon if not required.\n\n\n###  EXAMPLES  \n-- Example 1  \nUser: List every product name and its unit price.  \nSQL:\nSELECT name, unit_price FROM Products;\n\n-- Example 2  \nUser: Show the names and emails of customers who placed orders in January 2025.  \nSQL:\nSELECT DISTINCT c.name, c.email\nFROM Customers c\nJOIN Orders o ON o.customer_id = c.id\nWHERE o.order_date BETWEEN '2025-01-01' AND '2025-01-31';\n\n-- Example 3  \nUser: How many orders have a status of \"Completed\" for each month in 2024?  \nSQL:\nSELECT DATE_FORMAT(order_date, '%Y-%m') AS month,\n       COUNT(*) AS completed_orders\nFROM Orders\nWHERE status = 'Completed'\n  AND YEAR(order_date) = 2024\nGROUP BY month\nORDER BY month;\n\n-- Example 4  \nUser: Which products generated at least \\$10 000 in total revenue?  \nSQL:\nSELECT p.id, p.name, SUM(oi.quantity * oi.unit_price) AS revenue\nFROM Products p\nJOIN OrderItems oi ON oi.product_id = p.id\nGROUP BY p.id, p.name\nHAVING revenue >= 10000\nORDER BY revenue DESC;\n\n\n### OUTPUT GUIDELINES\n1. Think through the schema and the request.  \n2. Write **only** the final MySQL query.  \n3. Do **not** wrap the query in back-ticks or markdown fences.  \n4. Do **not** add explanations, comments, or additional text\u2014just the SQL.",
                            "temperature": 0.1,
                            "temperatureEnabled": false,
                            "tools": [],
                            "topPEnabled": false,
                            "top_p": 0.3,
                            "user_prompt": "",
                            "visual_files_var": ""
                        }
                    },
                    "upstream": [
                        "Retrieval:HappyTiesFilm",
                        "Retrieval:SmartNewsHammer",
                        "Retrieval:SweetDancersAppear"
                    ]
                },
                "ExeSQL:TiredShirtsPull": {
                    "downstream": [
                        "Message:ShaggyMasksAttend"
                    ],
                    "obj": {
                        "component_name": "ExeSQL",
                        "params": {
                            "database": "",
                            "db_type": "mysql",
                            "host": "",
                            "max_records": 1024,
                            "outputs": {
                                "formalized_content": {
                                    "type": "string",
                                    "value": ""
                                },
                                "json": {
                                    "type": "Array<Object>",
                                    "value": []
                                }
                            },
                            "password": "",
                            "port": 3306,
                            "sql": "{Agent:WickedGoatsDivide@content}",
                            "username": ""
                        }
                    },
                    "upstream": [
                        "Agent:WickedGoatsDivide"
                    ]
                },
                "Message:ShaggyMasksAttend": {
                    "downstream": [],
                    "obj": {
                        "component_name": "Message",
                        "params": {
                            "content": [
                                "{ExeSQL:TiredShirtsPull@formalized_content}"
                            ]
                        }
                    },
                    "upstream": [
                        "ExeSQL:TiredShirtsPull"
                    ]
                },
                "Retrieval:HappyTiesFilm": {
                    "downstream": [
                        "Agent:WickedGoatsDivide"
                    ],
                    "obj": {
                        "component_name": "Retrieval",
                        "params": {
                            "cross_languages": [],
                            "empty_response": "",
                            "kb_ids": [],
                            "keywords_similarity_weight": 0.7,
                            "outputs": {
                                "formalized_content": {
                                    "type": "string",
                                    "value": ""
                                }
                            },
                            "query": "{sys.query}",
                            "rerank_id": "",
                            "similarity_threshold": 0.2,
                            "top_k": 1024,
                            "top_n": 8,
                            "use_kg": false
                        }
                    },
                    "upstream": [
                        "begin"
                    ]
                },
                "Retrieval:SmartNewsHammer": {
                    "downstream": [
                        "Agent:WickedGoatsDivide"
                    ],
                    "obj": {
                        "component_name": "Retrieval",
                        "params": {
                            "cross_languages": [],
                            "empty_response": "",
                            "kb_ids": [],
                            "keywords_similarity_weight": 0.7,
                            "outputs": {
                                "formalized_content": {
                                    "type": "string",
                                    "value": ""
                                }
                            },
                            "query": "{sys.query}",
                            "rerank_id": "",
                            "similarity_threshold": 0.2,
                            "top_k": 1024,
                            "top_n": 8,
                            "use_kg": false
                        }
                    },
                    "upstream": [
                        "begin"
                    ]
                },
                "Retrieval:SweetDancersAppear": {
                    "downstream": [
                        "Agent:WickedGoatsDivide"
                    ],
                    "obj": {
                        "component_name": "Retrieval",
                        "params": {
                            "cross_languages": [],
                            "empty_response": "",
                            "kb_ids": [],
                            "keywords_similarity_weight": 0.7,
                            "outputs": {
                                "formalized_content": {
                                    "type": "string",
                                    "value": ""
                                }
                            },
                            "query": "{sys.query}",
                            "rerank_id": "",
                            "similarity_threshold": 0.2,
                            "top_k": 1024,
                            "top_n": 8,
                            "use_kg": false
                        }
                    },
                    "upstream": [
                        "begin"
                    ]
                },
                "begin": {
                    "downstream": [
                        "Retrieval:HappyTiesFilm",
                        "Retrieval:SmartNewsHammer",
                        "Retrieval:SweetDancersAppear"
                    ],
                    "obj": {
                        "component_name": "Begin",
                        "params": {
                            "enablePrologue": true,
                            "inputs": {},
                            "mode": "conversational",
                            "prologue": "Hi! I'm your SQL assistant. What can I do for you?"
                        }
                    },
                    "upstream": []
                }
            },
            "globals": {
                "sys.conversation_turns": 0,
                "sys.files": [],
                "sys.query": "",
                "sys.user_id": ""
            },
            "graph": {
                "edges": [
                    {
                        "data": {
                            "isHovered": false
                        },
                        "id": "xy-edge__beginstart-Retrieval:HappyTiesFilmend",
                        "source": "begin",
                        "sourceHandle": "start",
                        "target": "Retrieval:HappyTiesFilm",
                        "targetHandle": "end"
                    },
                    {
                        "id": "xy-edge__beginstart-Retrieval:SmartNewsHammerend",
                        "source": "begin",
                        "sourceHandle": "start",
                        "target": "Retrieval:SmartNewsHammer",
                        "targetHandle": "end"
                    },
                    {
                        "data": {
                            "isHovered": false
                        },
                        "id": "xy-edge__beginstart-Retrieval:SweetDancersAppearend",
                        "source": "begin",
                        "sourceHandle": "start",
                        "target": "Retrieval:SweetDancersAppear",
                        "targetHandle": "end"
                    },
                    {
                        "data": {
                            "isHovered": false
                        },
                        "id": "xy-edge__Retrieval:HappyTiesFilmstart-Agent:WickedGoatsDivideend",
                        "source": "Retrieval:HappyTiesFilm",
                        "sourceHandle": "start",
                        "target": "Agent:WickedGoatsDivide",
                        "targetHandle": "end"
                    },
                    {
                        "data": {
                            "isHovered": false
                        },
                        "id": "xy-edge__Retrieval:SmartNewsHammerstart-Agent:WickedGoatsDivideend",
                        "markerEnd": "logo",
                        "source": "Retrieval:SmartNewsHammer",
                        "sourceHandle": "start",
                        "style": {
                            "stroke": "rgba(91, 93, 106, 1)",
                            "strokeWidth": 1
                        },
                        "target": "Agent:WickedGoatsDivide",
                        "targetHandle": "end",
                        "type": "buttonEdge",
                        "zIndex": 1001
                    },
                    {
                        "data": {
                            "isHovered": false
                        },
                        "id": "xy-edge__Retrieval:SweetDancersAppearstart-Agent:WickedGoatsDivideend",
                        "markerEnd": "logo",
                        "source": "Retrieval:SweetDancersAppear",
                        "sourceHandle": "start",
                        "style": {
                            "stroke": "rgba(91, 93, 106, 1)",
                            "strokeWidth": 1
                        },
                        "target": "Agent:WickedGoatsDivide",
                        "targetHandle": "end",
                        "type": "buttonEdge",
                        "zIndex": 1001
                    },
                    {
                        "data": {
                            "isHovered": false
                        },
                        "id": "xy-edge__Agent:WickedGoatsDividestart-ExeSQL:TiredShirtsPullend",
                        "source": "Agent:WickedGoatsDivide",
                        "sourceHandle": "start",
                        "target": "ExeSQL:TiredShirtsPull",
                        "targetHandle": "end"
                    },
                    {
                        "data": {
                            "isHovered": false
                        },
                        "id": "xy-edge__ExeSQL:TiredShirtsPullstart-Message:ShaggyMasksAttendend",
                        "source": "ExeSQL:TiredShirtsPull",
                        "sourceHandle": "start",
                        "target": "Message:ShaggyMasksAttend",
                        "targetHandle": "end"
                    }
                ],
                "nodes": [
                    {
                        "data": {
                            "form": {
                                "enablePrologue": true,
                                "inputs": {},
                                "mode": "conversational",
                                "prologue": "Hi! I'm your SQL assistant. What can I do for you?"
                            },
                            "label": "Begin",
                            "name": "begin"
                        },
                        "id": "begin",
                        "measured": {
                            "height": 48,
                            "width": 200
                        },
                        "position": {
                            "x": 50,
                            "y": 200
                        },
                        "selected": false,
                        "sourcePosition": "left",
                        "targetPosition": "right",
                        "type": "beginNode"
                    },
                    {
                        "data": {
                            "form": {
                                "cross_languages": [],
                                "empty_response": "",
                                "kb_ids": [],
                                "keywords_similarity_weight": 0.7,
                                "outputs": {
                                    "formalized_content": {
                                        "type": "string",
                                        "value": ""
                                    }
                                },
                                "query": "{sys.query}",
                                "rerank_id": "",
                                "similarity_threshold": 0.2,
                                "top_k": 1024,
                                "top_n": 8,
                                "use_kg": false
                            },
                            "label": "Retrieval",
                            "name": "Schema"
                        },
                        "dragging": false,
                        "id": "Retrieval:HappyTiesFilm",
                        "measured": {
                            "height": 96,
                            "width": 200
                        },
                        "position": {
                            "x": 414,
                            "y": 20.5
                        },
                        "selected": false,
                        "sourcePosition": "right",
                        "targetPosition": "left",
                        "type": "retrievalNode"
                    },
                    {
                        "data": {
                            "form": {
                                "cross_languages": [],
                                "empty_response": "",
                                "kb_ids": [],
                                "keywords_similarity_weight": 0.7,
                                "outputs": {
                                    "formalized_content": {
                                        "type": "string",
                                        "value": ""
                                    }
                                },
                                "query": "{sys.query}",
                                "rerank_id": "",
                                "similarity_threshold": 0.2,
                                "top_k": 1024,
                                "top_n": 8,
                                "use_kg": false
                            },
                            "label": "Retrieval",
                            "name": "Question to SQL"
                        },
                        "dragging": false,
                        "id": "Retrieval:SmartNewsHammer",
                        "measured": {
                            "height": 96,
                            "width": 200
                        },
                        "position": {
                            "x": 406.5,
                            "y": 175.5
                        },
                        "selected": false,
                        "sourcePosition": "right",
                        "targetPosition": "left",
                        "type": "retrievalNode"
                    },
                    {
                        "data": {
                            "form": {
                                "cross_languages": [],
                                "empty_response": "",
                                "kb_ids": [],
                                "keywords_similarity_weight": 0.7,
                                "outputs": {
                                    "formalized_content": {
                                        "type": "string",
                                        "value": ""
                                    }
                                },
                                "query": "{sys.query}",
                                "rerank_id": "",
                                "similarity_threshold": 0.2,
                                "top_k": 1024,
                                "top_n": 8,
                                "use_kg": false
                            },
                            "label": "Retrieval",
                            "name": "Database Description"
                        },
                        "dragging": false,
                        "id": "Retrieval:SweetDancersAppear",
                        "measured": {
                            "height": 96,
                            "width": 200
                        },
                        "position": {
                            "x": 403.5,
                            "y": 328
                        },
                        "selected": false,
                        "sourcePosition": "right",
                        "targetPosition": "left",
                        "type": "retrievalNode"
                    },
                    {
                        "data": {
                            "form": {
                                "delay_after_error": 1,
                                "description": "",
                                "exception_default_value": "",
                                "exception_goto": [],
                                "exception_method": "",
                                "frequencyPenaltyEnabled": false,
                                "frequency_penalty": 0.7,
                                "llm_id": "qwen-max@Tongyi-Qianwen",
                                "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": "User's query: {sys.query}\n\nSchema: {Retrieval:HappyTiesFilm@formalized_content}\n\nSamples about question to SQL: {Retrieval:SmartNewsHammer@formalized_content}\n\nDescription about meanings of tables and files: {Retrieval:SweetDancersAppear@formalized_content}",
                                        "role": "user"
                                    }
                                ],
                                "sys_prompt": "### ROLE\nYou are a Text-to-SQL assistant.  \nGiven a relational database schema and a natural-language request, you must produce a **single, syntactically-correct MySQL query** that answers the request.  \nReturn **nothing except the SQL statement itself**\u2014no code fences, no commentary, no explanations, no comments, no trailing semicolon if not required.\n\n\n###  EXAMPLES  \n-- Example 1  \nUser: List every product name and its unit price.  \nSQL:\nSELECT name, unit_price FROM Products;\n\n-- Example 2  \nUser: Show the names and emails of customers who placed orders in January 2025.  \nSQL:\nSELECT DISTINCT c.name, c.email\nFROM Customers c\nJOIN Orders o ON o.customer_id = c.id\nWHERE o.order_date BETWEEN '2025-01-01' AND '2025-01-31';\n\n-- Example 3  \nUser: How many orders have a status of \"Completed\" for each month in 2024?  \nSQL:\nSELECT DATE_FORMAT(order_date, '%Y-%m') AS month,\n       COUNT(*) AS completed_orders\nFROM Orders\nWHERE status = 'Completed'\n  AND YEAR(order_date) = 2024\nGROUP BY month\nORDER BY month;\n\n-- Example 4  \nUser: Which products generated at least \\$10 000 in total revenue?  \nSQL:\nSELECT p.id, p.name, SUM(oi.quantity * oi.unit_price) AS revenue\nFROM Products p\nJOIN OrderItems oi ON oi.product_id = p.id\nGROUP BY p.id, p.name\nHAVING revenue >= 10000\nORDER BY revenue DESC;\n\n\n### OUTPUT GUIDELINES\n1. Think through the schema and the request.  \n2. Write **only** the final MySQL query.  \n3. Do **not** wrap the query in back-ticks or markdown fences.  \n4. Do **not** add explanations, comments, or additional text\u2014just the SQL.",
                                "temperature": 0.1,
                                "temperatureEnabled": false,
                                "tools": [],
                                "topPEnabled": false,
                                "top_p": 0.3,
                                "user_prompt": "",
                                "visual_files_var": ""
                            },
                            "label": "Agent",
                            "name": "SQL Generator "
                        },
                        "dragging": false,
                        "id": "Agent:WickedGoatsDivide",
                        "measured": {
                            "height": 84,
                            "width": 200
                        },
                        "position": {
                            "x": 981,
                            "y": 174
                        },
                        "selected": false,
                        "sourcePosition": "right",
                        "targetPosition": "left",
                        "type": "agentNode"
                    },
                    {
                        "data": {
                            "form": {
                                "database": "",
                                "db_type": "mysql",
                                "host": "",
                                "max_records": 1024,
                                "outputs": {
                                    "formalized_content": {
                                        "type": "string",
                                        "value": ""
                                    },
                                    "json": {
                                        "type": "Array<Object>",
                                        "value": []
                                    }
                                },
                                "password": "",
                                "port": 3306,
                                "sql": "{Agent:WickedGoatsDivide@content}",
                                "username": ""
                            },
                            "label": "ExeSQL",
                            "name": "ExeSQL"
                        },
                        "dragging": false,
                        "id": "ExeSQL:TiredShirtsPull",
                        "measured": {
                            "height": 56,
                            "width": 200
                        },
                        "position": {
                            "x": 1211.5,
                            "y": 212.5
                        },
                        "selected": false,
                        "sourcePosition": "right",
                        "targetPosition": "left",
                        "type": "ragNode"
                    },
                    {
                        "data": {
                            "form": {
                                "content": [
                                    "{ExeSQL:TiredShirtsPull@formalized_content}"
                                ]
                            },
                            "label": "Message",
                            "name": "Message"
                        },
                        "dragging": false,
                        "id": "Message:ShaggyMasksAttend",
                        "measured": {
                            "height": 56,
                            "width": 200
                        },
                        "position": {
                            "x": 1447.3125,
                            "y": 181.5
                        },
                        "selected": false,
                        "sourcePosition": "right",
                        "targetPosition": "left",
                        "type": "messageNode"
                    },
                    {
                        "data": {
                            "form": {
                                "text": "Searches for relevant database creation statements.\n\nIt should label with a dataset to which the schema is dumped in. You could use \" General \" as parsing method, \" 2 \" as chunk size and \" ; \"  as delimiter."
                            },
                            "label": "Note",
                            "name": "Note Schema"
                        },
                        "dragHandle": ".note-drag-handle",
                        "dragging": false,
                        "height": 188,
                        "id": "Note:ThickClubsFloat",
                        "measured": {
                            "height": 188,
                            "width": 392
                        },
                        "position": {
                            "x": 689,
                            "y": -180.31251144409183
                        },
                        "resizing": false,
                        "selected": false,
                        "sourcePosition": "right",
                        "targetPosition": "left",
                        "type": "noteNode",
                        "width": 392
                    },
                    {
                        "data": {
                            "form": {
                                "text": "Searches for samples about question to SQL. \n\nYou could use \" Q&A \" as parsing method.\n\nPlease check this dataset:\nhttps://huggingface.co/datasets/InfiniFlow/text2sql"
                            },
                            "label": "Note",
                            "name": "Note: Question to SQL"
                        },
                        "dragHandle": ".note-drag-handle",
                        "dragging": false,
                        "height": 154,
                        "id": "Note:ElevenLionsJoke",
                        "measured": {
                            "height": 154,
                            "width": 345
                        },
                        "position": {
                            "x": 693.5,
                            "y": 138
                        },
                        "resizing": false,
                        "selected": false,
                        "sourcePosition": "right",
                        "targetPosition": "left",
                        "type": "noteNode",
                        "width": 345
                    },
                    {
                        "data": {
                            "form": {
                                "text": "Searches for description about meanings of tables and fields.\n\nYou could use \" General \" as parsing method, \" 2 \" as chunk size and \" ### \"  as delimiter."
                            },
                            "label": "Note",
                            "name": "Note: Database Description"
                        },
                        "dragHandle": ".note-drag-handle",
                        "dragging": false,
                        "height": 158,
                        "id": "Note:ManyRosesTrade",
                        "measured": {
                            "height": 158,
                            "width": 408
                        },
                        "position": {
                            "x": 691.5,
                            "y": 435.69736389555317
                        },
                        "resizing": false,
                        "selected": false,
                        "sourcePosition": "right",
                        "targetPosition": "left",
                        "type": "noteNode",
                        "width": 408
                    },
                    {
                        "data": {
                            "form": {
                                "text": "The Agent learns which tables may be available based on the responses from three knowledge bases and converts the user's input into SQL statements."
                            },
                            "label": "Note",
                            "name": "Note: SQL Generator"
                        },
                        "dragHandle": ".note-drag-handle",
                        "dragging": false,
                        "height": 132,
                        "id": "Note:RudeHousesInvite",
                        "measured": {
                            "height": 132,
                            "width": 383
                        },
                        "position": {
                            "x": 1106.9254833678003,
                            "y": 290.5891036507015
                        },
                        "resizing": false,
                        "selected": false,
                        "sourcePosition": "right",
                        "targetPosition": "left",
                        "type": "noteNode",
                        "width": 383
                    },
                    {
                        "data": {
                            "form": {
                                "text": "Connect to your database to execute SQL statements."
                            },
                            "label": "Note",
                            "name": "Note: SQL Executor"
                        },
                        "dragHandle": ".note-drag-handle",
                        "dragging": false,
                        "id": "Note:HungryBatsLay",
                        "measured": {
                            "height": 136,
                            "width": 255
                        },
                        "position": {
                            "x": 1185,
                            "y": -30
                        },
                        "selected": false,
                        "sourcePosition": "right",
                        "targetPosition": "left",
                        "type": "noteNode"
                    }
                ]
            },
            "history": [],
            "messages": [],
            "path": [],
            "retrieval": []
        },
    "avatar": "data:image/jpeg;base64,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"
}