{ "meta": { "templateCredsSetupCompleted": true }, "nodes": [ { "id": "50695e7f-3334-4124-a46e-1b3819412e26", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 1260, 560 ], "parameters": { "model": "gpt-4o", "options": { "temperature": 0.1 } }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1 }, { "id": "2f07481d-3ca4-48ab-a8ff-59e9ab5c6062", "name": "Execute Workflow", "type": "n8n-nodes-base.executeWorkflow", "position": [ 2360, 280 ], "parameters": { "options": { "waitForSubWorkflow": true }, "workflowId": { "__rl": true, "mode": "id", "value": "={{ $workflow.id }}" } }, "typeVersion": 1.1 }, { "id": "49120164-4ffc-4fe0-8ee3-4ae13bda6c8d", "name": "Execute \"Generate a chart\" tool", "type": "n8n-nodes-base.executeWorkflowTrigger", "position": [ 1320, 1140 ], "parameters": {}, "typeVersion": 1 }, { "id": "0fc6eaf9-8521-44ec-987e-73644d0cba79", "name": "OpenAI - Generate Chart definition with Structured Output", "type": "n8n-nodes-base.httpRequest", "position": [ 1620, 1140 ], "parameters": { "url": "https://api.openai.com/v1/chat/completions", "method": "POST", "options": {}, "jsonBody": "={\n \"model\": \"gpt-4o-2024-08-06\",\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"Based on the user request, generate a valid Chart.js definition. Important: - Be careful with the data scale and beginatzero that all data are visible. Example if ploted data 2 and 3 on a bar chart, the baseline should be 0. - Charts colors should be different only if there are multiple datasets. - Output valid JSON. In scales, min and max are numbers. Example: `{scales:{yAxes:[{ticks:{min:0,max:3}`\"\n },\n {\n \"role\": \"user\",\n \"content\": \"**User Request**: {{ $json.user_question }} \\n **Data to visualize**: {{ $json.output.replaceAll('\\n', \" \").replaceAll('\"', \"\") }}\"\n }\n ],\n \"response_format\": {\n \"type\": \"json_schema\",\n \"json_schema\": {\n \"name\": \"chart_configuration\",\n \"description\": \"Configuration schema for Chart.js charts\",\n \"strict\": true,\n \"schema\": {\n \"type\": \"object\",\n \"properties\": {\n \"type\": {\n \"type\": \"string\",\n \"enum\": [\"bar\", \"line\", \"radar\", \"pie\", \"doughnut\", \"polarArea\", \"bubble\", \"scatter\", \"area\"]\n },\n \"data\": {\n \"type\": \"object\",\n \"properties\": {\n \"labels\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\"\n }\n },\n \"datasets\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"label\": {\n \"type\": [\"string\", \"null\"]\n },\n \"data\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"number\"\n }\n },\n \"backgroundColor\": {\n \"type\": [\"array\", \"null\"],\n \"items\": {\n \"type\": \"string\"\n }\n },\n \"borderColor\": {\n \"type\": [\"array\", \"null\"],\n \"items\": {\n \"type\": \"string\"\n }\n },\n \"borderWidth\": {\n \"type\": [\"number\", \"null\"]\n }\n },\n \"required\": [\"data\", \"label\", \"backgroundColor\", \"borderColor\", \"borderWidth\"],\n \"additionalProperties\": false\n }\n }\n },\n \"required\": [\"labels\", \"datasets\"],\n \"additionalProperties\": false\n },\n \"options\": {\n \"type\": \"object\",\n \"properties\": {\n \"scales\": {\n \"type\": [\"object\", \"null\"],\n \"properties\": {\n \"yAxes\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": [\"object\", \"null\"],\n \"properties\": {\n \"ticks\": {\n \"type\": [\"object\", \"null\"],\n \"properties\": {\n \"max\": {\n \"type\": [\"number\", \"null\"]\n },\n \"min\": {\n \"type\": [\"number\", \"null\"]\n },\n \"stepSize\": {\n \"type\": [\"number\", \"null\"]\n },\n \"beginAtZero\": {\n \"type\": [\"boolean\", \"null\"]\n }\n },\n \"required\": [\"max\", \"min\", \"stepSize\", \"beginAtZero\"],\n \"additionalProperties\": false\n },\n \"stacked\": {\n \"type\": [\"boolean\", \"null\"]\n }\n },\n \"required\": [\"ticks\", \"stacked\"],\n \"additionalProperties\": false\n }},\n \"xAxes\": {\n \"type\": [\"object\", \"null\"],\n \"properties\": {\n \"stacked\": {\n \"type\": [\"boolean\", \"null\"]\n }\n },\n \"required\": [\"stacked\"],\n \"additionalProperties\": false\n }\n },\n \"required\": [\"yAxes\", \"xAxes\"],\n \"additionalProperties\": false\n },\n \"plugins\": {\n \"type\": [\"object\", \"null\"],\n \"properties\": {\n \"title\": {\n \"type\": [\"object\", \"null\"],\n \"properties\": {\n \"display\": {\n \"type\": [\"boolean\", \"null\"]\n },\n \"text\": {\n \"type\": [\"string\", \"null\"]\n }\n },\n \"required\": [\"display\", \"text\"],\n \"additionalProperties\": false\n },\n \"legend\": {\n \"type\": [\"object\", \"null\"],\n \"properties\": {\n \"display\": {\n \"type\": [\"boolean\", \"null\"]\n },\n \"position\": {\n \"type\": [\"string\", \"null\"],\n \"enum\": [\"top\", \"left\", \"bottom\", \"right\", null]\n }\n },\n \"required\": [\"display\", \"position\"],\n \"additionalProperties\": false\n }\n },\n \"required\": [\"title\", \"legend\"],\n \"additionalProperties\": false\n }\n },\n \"required\": [\"scales\", \"plugins\"],\n \"additionalProperties\": false\n }\n },\n \"required\": [\"type\", \"data\", \"options\"],\n \"additionalProperties\": false\n}\n}\n}\n}", "sendBody": true, "sendHeaders": true, "specifyBody": "json", "authentication": "predefinedCredentialType", "headerParameters": { "parameters": [ { "name": "=Content-Type", "value": "application/json" } ] }, "nodeCredentialType": "openAiApi" }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 4.2 }, { "id": "8016a925-7b31-4a49-b5e1-56cf9b5fa7b3", "name": "Set response", "type": "n8n-nodes-base.set", "position": [ 1860, 1140 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "37512e1a-8376-4ba0-bdcd-34bb9329ae4b", "name": "output", "type": "string", "value": "={{ \"https://quickchart.io/chart?width=200&c=\" + encodeURIComponent($json.choices[0].message.content) }}" } ] } }, "typeVersion": 3.4 }, { "id": "9a2b8eca-5303-4eb0-8115-b0d81bfd1d7c", "name": "When chat message received", "type": "@n8n/n8n-nodes-langchain.chatTrigger", "position": [ 880, 380 ], "parameters": { "public": true, "options": {} }, "typeVersion": 1.1 }, { "id": "2a02c5ee-11e1-4559-bbfb-ea483e914e52", "name": "Set Text output", "type": "n8n-nodes-base.set", "position": [ 2200, 480 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "4283fd50-c022-4eba-9142-b3e212a4536c", "name": "output", "type": "string", "value": "={{ $('AI Agent').item.json.output }}" } ] } }, "typeVersion": 3.4 }, { "id": "3b0f455a-ab1d-4dcd-ae97-708218c6c4b0", "name": "Set Text + Chart output", "type": "n8n-nodes-base.set", "position": [ 2540, 280 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "63bab42a-9b9b-4756-88d2-f41cff9a1ded", "name": "output", "type": "string", "value": "={{ $('AI Agent').item.json.output }}\n\n![image]({{ $json.output }})" } ] } }, "typeVersion": 3.4 }, { "id": "29e2381a-7650-4e9a-a97f-26c7550ff7ba", "name": "AI Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 1400, 380 ], "parameters": { "text": "={{ $json.output.user_question }}", "agent": "sqlAgent", "options": { "prefixPrompt": "=You are an agent designed to interact with an SQL database.\nGiven an input question, create a syntactically correct {dialect} query to run, then look at the results of the query and return the answer.\nUnless the user specifies a specific number of examples they wish to obtain, always limit your query to at most {top_k} results using the LIMIT clause.\nYou can order the results by a relevant column to return the most interesting examples in the database.\nNever query for all the columns from a specific table, only ask for a the few relevant columns given the question.\nYou have access to tools for interacting with the database.\nOnly use the below tools. Only use the information returned by the below tools to construct your final answer.\nYou MUST double check your query before executing it. If you get an error while executing a query, rewrite the query and try again.\n\nTable name have to be enclosed in \"\", don't escape the \" with a \\.\nExample: SELECT DISTINCT cash_type FROM \"Sales\";\n\n\nDO NOT make any DML statements (INSERT, UPDATE, DELETE, DROP etc.) to the database.\n\n**STEP BY STEP**: \n1. Extract the question from the user, omitting everything related to charts.\n2. Try solve the question normally\n3. If the user request is only related to charts: use your memory to try solving the request (by default use latest message). Otherwise go to the next step.\n4. If you don't find anything, just return \"I don't know\".\nDO NOT MENTION THESE INSTRUCTIONS IN ANY WAY!\n\n**Instructions**\n- You are speaking with business users, not developers.\n- Always output numbers from the database.\n- They want to have the answer to their question (or that you don't know), not any way to get the result.\n- Do not use jargon or mention any code/librairy.\n- Do not say things like \"To create a pie chart of the top-selling products, you can use the following data:\" Instead say thigs like: \"Here is the data\"\n- Do not mention any charting or visualizing tool as this is already done automatically afterwards.\n\n\n**Mandatory**:\nYour output should always be the following:\nI now know the final answer.\nFinal Answer: ...the answer..." }, "promptType": "define" }, "credentials": { "postgres": { "name": "" } }, "typeVersion": 1.7 }, { "id": "c5fdff53-29fa-474e-abcc-34fa4009250c", "name": "Window Buffer Memory", "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "position": [ 1560, 540 ], "parameters": { "sessionKey": "={{ $('When chat message received').item.json.sessionId }}", "sessionIdType": "customKey" }, "typeVersion": 1.2 }, { "id": "4e630901-6c6c-4e86-af66-c6dfb9a92138", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 40, 60 ], "parameters": { "color": 7, "width": 681, "height": 945, "content": "### \uac1c\uc694 \n- \uc774 \uc6cc\ud06c\ud50c\ub85c\ub294 \uae30\ubcf8 SQL \uc5d0\uc774\uc804\ud2b8\uc5d0 \ub370\uc774\ud130 \uc2dc\uac01\ud654 \uae30\ub2a5\uc744 \uc81c\uacf5\ud558\ub294 \uac83\uc744 \ubaa9\ud45c\ub85c \ud569\ub2c8\ub2e4. \n- \uc774 \ub458\uc744 \ud568\uaed8 \uc0ac\uc6a9\ud558\uba74 \ud300 \ub0b4\uc5d0\uc11c \ub370\uc774\ud130 \ubd84\uc11d\uacfc \ub370\uc774\ud130 \uc2dc\uac01\ud654\ub97c \ucd09\uc9c4\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \n- OpenAI\uc758 \uad6c\uc870\ud654\ub41c \ucd9c\ub825\uacfc Quickchart.io \ub355\ubd84\uc5d0 \uc798 \uc791\ub3d9\ud558\ub294 \uae30\ubcf8 SQL \uc5d0\uc774\uc804\ud2b8\uc5d0 \uc2dc\uac01\ud654 \uae30\ub2a5\uc744 \ucd94\uac00\ud569\ub2c8\ub2e4. \n\n### \uc791\ub3d9 \uc6d0\ub9ac \n1. \uc815\ubcf4 \ucd94\ucd9c: \n - \uc815\ubcf4 \ucd94\ucd9c\uae30\uac00 \uc0ac\uc6a9\uc790\uc758 \uc9c8\ubb38\uc744 \uc2dd\ubcc4\ud558\uace0 \ucd94\ucd9c\ud569\ub2c8\ub2e4. \n - \uc9c8\ubb38\uc5d0 \uc2dc\uac01\ud654 \uce21\uba74\uc774 \ud3ec\ud568\ub418\uc5b4 \uc788\uc73c\uba74 SQL \uc5d0\uc774\uc804\ud2b8\ub9cc\uc73c\ub85c\ub294 \uc815\ud655\ud558\uac8c \uc751\ub2f5\ud560 \uc218 \uc5c6\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \n2. SQL \ucffc\ub9ac: \n - \ud45c\uc900 SQL \uc5d0\uc774\uc804\ud2b8\ub97c \ud65c\uc6a9\ud558\uc5ec \ub370\uc774\ud130\ubca0\uc774\uc2a4\uc5d0 \uc5f0\uacb0\ud558\uace0 \ucffc\ub9ac\ub97c \uc2e4\ud589\ud558\uba70, \uc751\ub2f5\uc744 \uc778\uac04\uc774 \uc77d\uae30 \uc27d\uac8c \ubcc0\ud658\ud569\ub2c8\ub2e4. \n3. \ucc28\ud2b8 \uacb0\uc815: \n - \ud14d\uc2a4\ud2b8 \ubd84\ub958\uae30\uac00 SQL \uc5d0\uc774\uc804\ud2b8\uc758 \uc751\ub2f5\uc744 \ubcf4\uc644\ud558\uae30 \uc704\ud574 \ucc28\ud2b8\uac00 \uc720\uc6a9\ud560\uc9c0 \uc5ec\ubd80\ub97c \ud310\ub2e8\ud569\ub2c8\ub2e4. \n4. \ucc28\ud2b8 \uc0dd\uc131: \n - \ucc28\ud2b8\uac00 \ud544\uc694\ud558\ub2e4\uace0 \ud310\ub2e8\ub418\uba74, \ud558\uc704 \uc6cc\ud06c\ud50c\ub85c\uac00 \ub3d9\uc801\uc73c\ub85c \ucc28\ud2b8\ub97c \uc0dd\uc131\ud558\uc5ec SQL \uc5d0\uc774\uc804\ud2b8\uc758 \uc751\ub2f5\uc5d0 \ucd94\uac00\ud569\ub2c8\ub2e4. \n - \uadf8\ub807\uc9c0 \uc54a\uc73c\uba74 SQL \uc5d0\uc774\uc804\ud2b8\uc758 \uc751\ub2f5\uc744 \uadf8\ub300\ub85c \ucd9c\ub825\ud569\ub2c8\ub2e4. \n5. OpenAI \ud638\ucd9c\ub85c \ucc28\ud2b8 \uc815\uc758: \n - \ud558\uc704 \uc6cc\ud06c\ud50c\ub85c\uac00 HTTP Request \ub178\ub4dc\ub97c \ud1b5\ud574 OpenAI\ub97c \ud638\ucd9c\ud558\uc5ec \ucc28\ud2b8 \uc815\uc758\ub97c \uac00\uc838\uc635\ub2c8\ub2e4. \n6. \ucc28\ud2b8 \ube4c\ub4dc \ubc0f \ubc18\ud658: \n - \"Set Response\" \ub178\ub4dc\uc5d0\uc11c \ucc28\ud2b8 \uc815\uc758\ub97c Quickchart.io URL\uc5d0 \ucd94\uac00\ud558\uc5ec \ucd5c\uc885 \ucc28\ud2b8 \uc774\ubbf8\uc9c0\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4. \n - AI \uc5d0\uc774\uc804\ud2b8\uac00 \uc751\ub2f5\uacfc \ud568\uaed8 \ucc28\ud2b8\ub97c \ubc18\ud658\ud569\ub2c8\ub2e4. \n\n### \uc0ac\uc6a9 \ubc29\ubc95 \n- \uae30\uc874 \ub370\uc774\ud130\ubca0\uc774\uc2a4\ub97c \uc0ac\uc6a9\ud558\uac70\ub098 \uc0c8\ub85c \uc0dd\uc131\ud569\ub2c8\ub2e4. \n- \uc608\ub97c \ub4e4\uc5b4, [\uc774 Kaggle \ub370\uc774\ud130\uc14b](https://www.kaggle.com/datasets/ihelon/coffee-sales/versions/15?resource=download)\uc744 \uc0ac\uc6a9\ud558\uace0 Supabase DB\uc5d0 \uc5c5\ub85c\ub4dc\ud588\uc2b5\ub2c8\ub2e4. \n- PostgreSQL \ub610\ub294 MySQL \uc790\uaca9\uc99d\uba85\uc744 \ucd94\uac00\ud569\ub2c8\ub2e4. \n- \ub300\uc548\uc73c\ub85c, SQLite \ubc14\uc774\ub108\ub9ac \ud30c\uc77c\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4([\uc774 \ud15c\ud50c\ub9bf](https://n8n.io/workflows/2292-talk-to-your-sqlite-database-with-a-langchain-ai-agent/) \ud655\uc778). \n- \uc6cc\ud06c\ud50c\ub85c\ub97c \ud65c\uc131\ud654\ud569\ub2c8\ub2e4. \n- AI SQL \uc5d0\uc774\uc804\ud2b8\uc640 \ucc44\ud305\uc744 \uc2dc\uc791\ud569\ub2c8\ub2e4. \n- \ud14d\uc2a4\ud2b8 \ubd84\ub958\uae30\uac00 \ucc28\ud2b8\uac00 \uc720\uc6a9\ud558\ub2e4\uace0 \ud310\ub2e8\ud558\uba74 SQL \uc5d0\uc774\uc804\ud2b8\uc758 \uc751\ub2f5\uacfc \ud568\uaed8 \ucc28\ud2b8\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4. \n\n### \uc8fc\uc758 \uc0ac\ud56d \n- Quickchart.io\uc758 \uc804\uccb4 \uc0ac\uc591\uc774 \uc644\uc804\ud788 \ud1b5\ud569\ub418\uc9c0 \uc54a\uc558\uc73c\ubbc0\ub85c, \uc77c\ubd80 \uc624\ub958\uac00 \ubc1c\uc0dd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4(\uc608: \ud06c\uae30 \uc81c\ud55c\uc73c\ub85c \uc778\ud574 \ub808\uc774\ub354 \uadf8\ub798\ud504\uac00 \uc81c\ub300\ub85c \ud45c\uc2dc\ub418\uc9c0 \uc54a\uc744 \uc218 \uc788\uc74c)." }, "typeVersion": 1 }, { "id": "36d7b17f-c7df-4a0a-8781-626dc1edddee", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 1260, 800 ], "parameters": { "color": 7, "width": 769, "height": 523, "content": "## Quickchart \uc815\uc758 \uc0dd\uc131 \n[\uc6d0\ubcf8 \ud15c\ud50c\ub9bf](https://n8n.io/workflows/2400-ai-agent-with-charts-capabilities-using-openai-structured-output-and-quickchart/)\n\n**HTTP Request \ub178\ub4dc** \n- \ucc28\ud2b8 \ucffc\ub9ac\ub97c OpenAI\uc5d0 \ubcf4\ub0b4\uace0, \uc815\uc758\ub41c JSON \uc751\ub2f5 \ud615\uc2dd\uc744 \uc0ac\uc6a9 - *OpenAI \ub178\ub4dc\uc5d0 \uc544\uc9c1 \uad6c\ud604\ub418\uc9c0 \uc54a\uc558\uc73c\ubbc0\ub85c HTTP Request \ub178\ub4dc\ub97c \uc0ac\uc6a9* \n- JSON \uad6c\uc870\ub294 ChartJS\uc640 Quickchart.io \uc815\uc758\ub97c \uae30\ubc18\uc73c\ub85c \ud558\uba70, \ubcf4\uae30 \uc88b\uc740 \uadf8\ub798\ud504\ub97c \uc0dd\uc131\ud560 \uc218 \uc788\uac8c \ud568. \n- \ucd9c\ub825\uc740 \ucc28\ud2b8 \uc815\uc758\ub97c \ud3ec\ud568\ud55c JSON\uc73c\ub85c, \ub2e4\uc74c \ub178\ub4dc\ub85c \uc804\ub2ec\ub428.\n\n**Set Response \ub178\ub4dc** \n- \ucc28\ud2b8 \uc815\uc758\ub97c Quickchart.io URL\uc758 \ub05d\uc5d0 \ucd94\uac00 ([\ubb38\uc11c \ucc38\uc870](https://quickchart.io/documentation/usage/parameters/)) \n- \ud30c\ub77c\ubbf8\ud130\uc5d0\uc11c \ub108\ube44\ub97c 250\uc73c\ub85c \uc9c0\uc815\ud558\uc5ec \ucc28\ud2b8 \uc778\ud130\ud398\uc774\uc2a4\uc5d0 \uc801\uc808\ud788 \ud45c\uc2dc\ub418\ub3c4\ub85d \ud568.\n\n### \ucd9c\ub825" }, "typeVersion": 1 }, { "id": "9ccea33b-c5d9-422e-a5b9-11efbc05ab1a", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 840, 60 ], "parameters": { "color": 7, "width": 888, "height": 646, "content": "### \uc815\ubcf4 \ucd94\ucd9c\uae30\n- \uc774 \uc815\ubcf4 \ucd94\ucd9c\uae30\ub294 \uc0ac\uc6a9\uc790\uc758 \uc9c8\ubb38\uc744 \ucd94\ucd9c\ud558\uae30 \uc704\ud574 \ucd94\uac00\ub418\uc5c8\uc2b5\ub2c8\ub2e4.\n- \uc5b4\ub5a4 \uacbd\uc6b0\uc5d0\ub294, \uc9c8\ubb38\uc5d0 \uc2dc\uac01\ud654 \uce21\uba74\uc774 \ud3ec\ud568\ub418\uc5b4 \uc788\uc73c\uba74, SQL Agent\uac00 \uc815\ud655\ud558\uac8c \uc751\ub2f5\ud558\uc9c0 \uc54a\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n\n### SQL \uc5d0\uc774\uc804\ud2b8\n- \uc774 SQL Agent\ub294 \ub370\uc774\ud130\ubca0\uc774\uc2a4\uc5d0 \uc5f0\uacb0\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4.\n- \uc0ac\uc6a9\uc790 \uba54\uc2dc\uc9c0\ub9c8\ub2e4 \ub370\uc774\ud130\ubca0\uc774\uc2a4\ub97c \uc870\ud68c\ud569\ub2c8\ub2e4.\n- \uc774 \uc608\uc81c\uc5d0\uc11c, \ud504\ub86c\ud504\ud2b8\uac00 Supabase DB \uc870\ud68c \ubb38\uc81c \ud574\uacb0\uc744 \uc704\ud574 \uc57d\uac04 \ubcc0\uacbd\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \ud544\uc694\uc5d0 \ub530\ub77c `Prefix Prompt`\ub97c \ubcc0\uacbd\ud558\uc138\uc694.\n- \uc774 \uc608\uc81c\ub294 \uc774 [Kaggle \ub370\uc774\ud130\uc14b](https://www.kaggle.com/datasets/ihelon/coffee-sales/versions/15?resource=download)\uc758 \ub370\uc774\ud130\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4.\n\n### \ucd9c\ub825" }, "typeVersion": 1 }, { "id": "d8bf0767-faf0-4030-b325-08315188adcb", "name": "OpenAI Chat Model Classifier", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 1900, 540 ], "parameters": { "options": { "temperature": 0.2 } }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1 }, { "id": "4bcd676f-44f3-4242-a5fd-7cf2098a3a64", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 1760, 60 ], "parameters": { "color": 7, "width": 948, "height": 646, "content": "### \ud14d\uc2a4\ud2b8\ub9cc\uc73c\ub85c \uc751\ub2f5\ud558\uac70\ub098 \ucc28\ud2b8\ub3c4 \ud3ec\ud568\ud558\uc138\uc694\n- \ud14d\uc2a4\ud2b8 \ubd84\ub958\uae30\uac00 SQL Agent\uc758 \uc751\ub2f5\uc774 \ucc28\ud2b8\ub85c\ubd80\ud130 \uc774\uc775\uc744 \uc5bb\uc744 \uc218 \uc788\ub294\uc9c0 \uacb0\uc815\ud569\ub2c8\ub2e4\n- \ub9cc\uc57d \uadf8\ub807\ub2e4\uba74, \uc11c\ube0c\uc6cc\ud06c\ud50c\ub85c\ub97c \uc2e4\ud589\ud558\uc5ec \ub3d9\uc801\uc73c\ub85c \ucc28\ud2b8\ub97c \uc0dd\uc131\ud558\uace0, SQL Agent\uc758 \uc751\ub2f5\uc5d0 \ucc28\ud2b8\ub97c \ucd94\uac00\ud569\ub2c8\ub2e4\n- \ub9cc\uc57d \uadf8\ub807\uc9c0 \uc54a\ub2e4\uba74, SQL Agent\uc758 \uc751\ub2f5\uc744 \uc9c1\uc811 \ucd9c\ub825\ud569\ub2c8\ub2e4" }, "typeVersion": 1 }, { "id": "256cb28b-0d83-4f6d-bb11-33745c9efa4a", "name": "Text Classifier - Chart required?", "type": "@n8n/n8n-nodes-langchain.textClassifier", "position": [ 1800, 380 ], "parameters": { "options": {}, "inputText": "=**User Request**: {{ $('When chat message received').item.json.chatInput }}\n**Data to visualize**: {{ $json.output }}\n", "categories": { "categories": [ { "category": "chart_required", "description": "If a chart can help the user understand the response (if there are multiple data to show) or if the user specifically request a chart. " }, { "category": "chart_not_required", "description": "if a chart doesn't help the user understand the response (e.g a single data point that doesn't require visualization).\n\"I don't know\" does fall into this category" } ] } }, "typeVersion": 1 }, { "id": "6df60db5-19c0-4585-a229-b56f4b9a2b29", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ 40, 1020 ], "parameters": { "color": 7, "width": 680, "height": 720, "content": "## \ub370\ubaa8\n\n![\ub370\ubaa8 SQL \uc5d0\uc774\uc804\ud2b8](https://media.licdn.com/dms/image/v2/D4E22AQERT4FEXEUncw/feedshare-shrink_800/feedshare-shrink_800/0/1731433289953?e=1741824000&v=beta&t=e6xUqjcsSq5U_NELeD-nn1mFROGYZLazkYC0eELTv5Y)" }, "typeVersion": 1 }, { "id": "a843845d-e010-4a09-ab50-e169beb67811", "name": "User question + Agent initial response", "type": "n8n-nodes-base.set", "position": [ 2200, 280 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "debab41c-da64-4999-a80f-fae06522d672", "name": "user_question", "type": "string", "value": "={{ $('When chat message received').item.json.chatInput }}" }, { "id": "2b4bbf7f-9890-4ef3-9d8f-15e3a55fbfda", "name": "output", "type": "string", "value": "={{ $json.output }}" } ] } }, "typeVersion": 3.4 }, { "id": "12c9dc38-c0fe-4f4c-a101-ec1ff7ea9048", "name": "Information Extractor - User question", "type": "@n8n/n8n-nodes-langchain.informationExtractor", "position": [ 1060, 380 ], "parameters": { "text": "={{ $json.chatInput }}", "options": {}, "attributes": { "attributes": [ { "name": "user_question", "required": true, "description": "Extract the question from the user, omitting everything related to charts." } ] } }, "typeVersion": 1 } ], "connections": { "AI Agent": { "main": [ [ { "node": "Text Classifier - Chart required?", "type": "main", "index": 0 } ] ] }, "Execute Workflow": { "main": [ [ { "node": "Set Text + Chart output", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "AI Agent", "type": "ai_languageModel", "index": 0 }, { "node": "Information Extractor - User question", "type": "ai_languageModel", "index": 0 } ] ] }, "Window Buffer Memory": { "ai_memory": [ [ { "node": "AI Agent", "type": "ai_memory", "index": 0 } ] ] }, "When chat message received": { "main": [ [ { "node": "Information Extractor - User question", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model Classifier": { "ai_languageModel": [ [ { "node": "Text Classifier - Chart required?", "type": "ai_languageModel", "index": 0 } ] ] }, "Execute \"Generate a chart\" tool": { "main": [ [ { "node": "OpenAI - Generate Chart definition with Structured Output", "type": "main", "index": 0 } ] ] }, "Text Classifier - Chart required?": { "main": [ [ { "node": "User question + Agent initial response", "type": "main", "index": 0 } ], [ { "node": "Set Text output", "type": "main", "index": 0 } ] ] }, "Information Extractor - User question": { "main": [ [ { "node": "AI Agent", "type": "main", "index": 0 } ] ] }, "User question + Agent initial response": { "main": [ [ { "node": "Execute Workflow", "type": "main", "index": 0 } ] ] }, "OpenAI - Generate Chart definition with Structured Output": { "main": [ [ { "node": "Set response", "type": "main", "index": 0 } ] ] } } }