The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"nodes": [
{
"id": "4b7c314a-d7c5-46cb-af6f-b3ff02a182b7",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
980,
600
],
"parameters": {
"model": "gpt-4o-mini-2024-07-18",
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "cf4ffa49-8830-4db2-9a7d-b8931e806947",
"name": "Window Buffer Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
1120,
600
],
"parameters": {},
"typeVersion": 1.2
},
{
"id": "22d36226-ca37-4ccc-a2d6-826b78c2f1f3",
"name": "Generate a chart",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
1260,
600
],
"parameters": {
"name": "generate_a_chart",
"schemaType": "manual",
"workflowId": "={{ $workflow.id }}",
"description": "Call this tool whenever you need to generate a chart.",
"inputSchema": "{\n\"type\": \"object\",\n\"properties\": {\n\t\"query\": {\n\t\t\"type\": \"string\",\n\t\t\"description\": \"a query describing the chart to generate\"\n\t\t}\n\t}\n}",
"specifyInputSchema": true
},
"typeVersion": 1.1
},
{
"id": "d9ea85d7-3a56-4a95-88c8-60e5c95014e7",
"name": "Execute \"Generate a chart\" tool",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
580,
1100
],
"parameters": {},
"typeVersion": 1
},
{
"id": "68d538f7-acce-447f-9ab1-6975639e05f7",
"name": "OpenAI - Generate Chart definition with Structured Output",
"type": "n8n-nodes-base.httpRequest",
"position": [
880,
1100
],
"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\": \"{{ $json.query.query }}\"\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": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "0fd4ad08-ad85-4d0b-b75f-0e59f789cbfd",
"name": "Set response",
"type": "n8n-nodes-base.set",
"position": [
1120,
1100
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "37512e1a-8376-4ba0-bdcd-34bb9329ae4b",
"name": "response",
"type": "string",
"value": "={{ encodeURIComponent(\"https://quickchart.io/chart?width=200&c=\"+$json.choices[0].message.content) }}\n\n"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "6785cadb-4875-47ac-9b57-29b583c53937",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
20,
260
],
"parameters": {
"color": 7,
"width": 680.7609104727082,
"height": 619.3187860363884,
"content": "## Workflow: AI Agent with charts capabilities using OpenAI Structured Output\n\n**Overview**\n- This workflow is a experiment to integrate charts into an AI Agent\n- The AI Agent has normal AI conversation and can invoke a tool to integrate a graph in the conversation.\n- It uses OpenAI Structured Output to generate a chart definition according to Quickchart specifications.\n\n\n**How it works**\n- Activate the workflow\n- Start chatting with the AI Agent.\n- When the AI Agent detects that the user needs a chat, it calls the tool\n- The tool calls the sub-workflow with a query.\n- The sub-workflow calls the HTTP Request node (calling OpenAI) to retrieve a chart definition\n- In the \"set response\" node, he chat definition is added at the end of a quickchart.io url - the URL to the chart image. It is sent back to the AI Agent.\n- The AI Agent uses this image in its response.\n- For example, you can ask the AI Agent to generate a chart about the top 5 movies at the box office\n\n\n**Notes**\n- The full Quickchart.io specifications have not been integrated, thus there are some possible glitches (e.g due to the size of the graph, radar graphs are not displayed properly)\n- This could be provided to any automation, not only AI Agents."
},
"typeVersion": 1
},
{
"id": "fd507ff6-2d16-4498-ba2b-d91b02079311",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
740,
800
],
"parameters": {
"color": 7,
"width": 768.8586342909368,
"height": 503,
"content": "## Generate a Quickchart definition\n\n**HTTP Request node**\n- Send the chart query to OpenAI, with a defined JSON response format - *using HTTP Request node as it has not yet been implemented in the OpenAI nodes*\n- The JSON structure is based on ChartJS and Quickchart.io definitions, that let us create nice looking graphs.\n- The output is a JSON containing the chart definition that is passed to the next node.\n\n**Set Response node**\n- Adds the chart definition at the end of a Quickchart.io URL ([see documentation](https://quickchart.io/documentation/usage/parameters/))\n- Note that in the parameters, we specify the width to 250 in order to be properly displayed in the chart interface."
},
"typeVersion": 1
},
{
"id": "7f14532a-75ee-40f8-a45b-0f037af7cb05",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
740,
260
],
"parameters": {
"color": 7,
"width": 768,
"height": 485.8165429718969,
"content": "### Chat Agent\n- This is agent is mostly here to demonstrate how to use the sub workflow.\n- This is a basic agent with a tool \"generate a chart\"\n- The tool calls the sub-workflow\n- The sub-workflow responds with the Quickchart URL that is displayed in the conversation"
},
"typeVersion": 1
},
{
"id": "7793a567-c4d4-4745-83c9-adf5397755e9",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1020,
400
],
"parameters": {
"options": {
"systemMessage": "You're a general purpose ai. Using markdown, you can display images in the conversation. Don't change the width of the chart"
}
},
"typeVersion": 1.6
},
{
"id": "71bd2cb5-7b20-4d83-adba-c1fd57511155",
"name": "When chat message received",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
840,
400
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
}
],
"connections": {
"Generate a chart": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Window Buffer Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Execute \"Generate a chart\" tool": {
"main": [
[
{
"node": "OpenAI - Generate Chart definition with Structured Output",
"type": "main",
"index": 0
}
]
]
},
"OpenAI - Generate Chart definition with Structured Output": {
"main": [
[
{
"node": "Set response",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
openAiApi
About this workflow
Ai Agent With Charts Capabilities Using Openai Structured Output And Quickchart. Uses lmChatOpenAi, memoryBufferWindow, toolWorkflow, executeWorkflowTrigger. Event-driven trigger; 11 nodes.
Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →