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}\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}",
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              "value": "={{ encodeURIComponent(\"https://quickchart.io/chart?width=200&c=\"+$json.choices[0].message.content) }}\n\n"
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        "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."
      },
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    {
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      "name": "Sticky Note",
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      "position": [
        740,
        800
      ],
      "parameters": {
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        "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."
      },
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      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
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        "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
    },
    {
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      "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"
        }
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    "Window Buffer Memory": {
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      "main": [
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