{
  "workflow": {
    "id": 11008,
    "name": "Customer feedback automation with sentiment analysis using GPT-4.1, Jira & Slack",
    "views": 86,
    "recentViews": 0,
    "totalViews": 86,
    "createdAt": "2025-11-19T10:49:37.468Z",
    "description": "# Customer Feedback Automation Workflow with Webhook, OpenAI, Jira & Slack\n\nThis workflow collects customer feedback from a webhook, validates the incoming data, analyzes the sentiment using OpenAI and creates Jira tasks for negative or feature-request feedback. It also generates an automated weekly summary using OpenAI and delivers it to Slack. It helps teams stay informed, skip manual reviews and act quickly on customer issues.\n\n## Quick Start – Implementation Steps\n\n1. Set up the Webhook URL in your application to send customer feedback.\n2. Configure Slack, Jira and OpenAI credentials in n8n.\n3. Adjust sentiment rules or Jira fields if needed.\n4. Activate the workflow — you’re ready to collect and process feedback automatically.\n\n## What It Does\n\nThis workflow automates the entire lifecycle of customer feedback handling. When someone submits feedback, the system checks if the required information (feedback text and sentiment) is present. If the payload is invalid or incomplete, the team immediately receives a Slack notification to take action.\n\nIf the feedback is valid, OpenAI analyzes the content and identifies the sentiment as positive, negative, neutral or a feature suggestion. Based on this result, the system automatically creates a Jira issue for negative feedback or feature requests, ensuring nothing important is missed.\n\nAlongside real-time processing, the workflow also compiles a weekly summary. Every week, it gathers all Jira issues created through feedback and sends them to OpenAI for summarization. The summary is then posted to Slack so the team gets a clean, easy-to-read review of customer sentiment trends.\n\n## Who’s It For\n\nThis workflow is ideal for:\n\n* Customer support teams\n* Product managers\n* QA and development teams\n* Companies collecting user feedback\n* Businesses wanting automated sentiment analysis and reporting\n\n## Requirements to Use This Workflow\n\nTo fully use this workflow, you need:\n\n* An **n8n instance** (self-hosted or cloud)\n* A **Webhook endpoint** to receive customer feedback\n* A **Slack workspace** with API access\n* A **Jira Software Cloud** account\n* An **OpenAI API key** with access to GPT-4.1 or similar\n* Basic understanding of JSON payloads\n\n## How It Works\n\n1. **Collect Feedback** – Receives customer data through an n8n webhook.\n2. **Validate Payload** – Checks required fields; bad input triggers Slack alerts.\n3. **Determine Sentiment** – Sends feedback text to OpenAI for sentiment classification.\n4. **Conditional Routing** – Negative or feature-request items move forward; others are ignored.\n5. **Create Jira Task** – Automatically logs an issue for follow-up.\n6. **Weekly Summary** – A scheduled trigger collects all Jira issues created during the week.\n7. **Generate Report** – Sends all issues to OpenAI for a clean weekly summary.\n8. **Delivered to Slack** – The summary is posted for the team to review.\n\n## Setup Steps\n\n1. Import the workflow JSON file into n8n.\n2. Configure your credentials:\n\t* Slack\n\t* Jira\n\t* OpenAI\n3. Update the webhook URL in your application.\n4. Edit Jira project ID or fields if required.\n5. Customize Slack channel IDs.\n6. Enable the schedule trigger (weekly summary).\n7. Activate the workflow.\n\n## How To Customize Nodes\n\n### Customize Sentiment Rules\n\nModify the IF node that checks OpenAI output:\n\n* Add new sentiment labels (e.g., “bug”, “urgent”)\n* Adjust rules for what should create a Jira issue\n\n### Customize Jira Task Fields\n\nIn the _Create Jira Task_ node, you can change:\n\n* Project ID\n* Issue type\n* Summary and description templates\n* Labels or assignees\n\n### Customize Slack Messages\n\nUpdate Slack node text blocks to:\n\n* Format alerts\n* Add more details\n* Send messages to different channels\n\n## Add-Ons (Optional Enhancements)\n\nYou can extend this workflow with:\n\n* Email notifications for high-priority feedback\n* Auto-reply emails to customers acknowledging their feedback\n* Google Sheets logging for historical data\n* Dashboard creation using Airtable or Notion\n* Multi-language sentiment detection\n* Auto-tagging Jira issues with sentiment categories\n\n## Use Case Examples\n\n1. **Customer Complaint Handling** – Automatically detect negative feedback and create a Jira issue.\n2. **Feature Request Collection** – Route suggestions to the product backlog.\n3. **Weekly Sentiment Reporting** – Keep managers updated on trends.\n4. **Slack Alerts for Bad Payloads** – Notify the team when someone sends incomplete or incorrect feedback.\n5. **Automated Feedback Triage** – Assign tasks to specific Jira users based on sentiment or keywords.\n6. You can extend to many more such similar use cases.\n\n## Troubleshooting Guide\n\n| Issue                       | Possible Cause                               | Solution                                          |\n|-----------------------------|-----------------------------------------------|---------------------------------------------------|\n| Slack alert not sent        | Wrong API credentials or channel ID           | Check Slack credentials and update channel ID     |\n| Jira issue not created      | Incorrect project ID or issue type            | Verify Jira configuration in n8n                  |\n| OpenAI sentiment not reading| Wrong JSON path in IF node                    | Re-check `$json.output[0].content[0].text`        |\n| Weekly summary not generated| Schedule trigger disabled                     | Enable the Schedule Trigger node                  |\n| Webhook not receiving data  | Application not pointing to correct URL       | Verify webhook URL in your app                    |\n\n\n## Need Any Help?\n\nIf you need any help setting up this workflow, troubleshooting or adding custom features, our n8n experts at WeblineIndia is always here to support. We can help you automate more processes, integrate external systems or build complete workflow solutions tailored to your business.",
    "workflow": {
      "id": "jUy81lCLfstHK4wl",
      "meta": {
        "instanceId": "14e4c77104722ab186539dfea5182e419aecc83d85963fe13f6de862c875ebfa"
      },
      "name": "Customer Feedback Automation Workflow with Webhook, OpenAI, Jira & Slack",
      "tags": [],
      "nodes": [
        {
          "id": "897474a0-9537-4083-a3b5-cb309bb2c016",
          "name": "Collect Feedback",
          "type": "n8n-nodes-base.webhook",
          "position": [
            -1808,
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          ],
          "webhookId": "8c86abf1-bd74-419f-a8be-fb63ed8e63d8",
          "parameters": {
            "path": "customer-feedback",
            "options": {},
            "httpMethod": "POST"
          },
          "typeVersion": 2.1
        },
        {
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          "name": "Validate Payload",
          "type": "n8n-nodes-base.if",
          "position": [
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          ],
          "parameters": {
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            "conditions": {
              "options": {
                "version": 1,
                "leftValue": "",
                "caseSensitive": true,
                "typeValidation": "strict"
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              "conditions": [
                {
                  "id": "baa976fa-a7b9-462d-9ec2-aaf7f5e82bc6",
                  "operator": {
                    "type": "string",
                    "operation": "notEmpty",
                    "singleValue": true
                  },
                  "leftValue": "={{ $json.body.feedback_text ?? '' }}"
                },
                {
                  "id": "5ca540be-9a79-4388-bfc7-0f86cbf473a9",
                  "operator": {
                    "type": "string",
                    "operation": "notEmpty",
                    "singleValue": true
                  },
                  "leftValue": "={{ $json.body.sentiment ?? '' }}"
                }
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          "typeVersion": 2
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        {
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          "name": "Slack – Payload Error",
          "type": "n8n-nodes-base.slack",
          "position": [
            -1264,
            160
          ],
          "webhookId": "3e479aaa-a700-43a8-8308-0c1acd467623",
          "parameters": {
            "text": "=⚠️ *Feedback Webhook Error*\nIncoming customer feedback payload is corrupted.\nPlease review and import manually.\n\nPayload received:\n```{{ JSON.stringify($json.body, null, 2) }}```",
            "select": "channel",
            "channelId": "C09S57E2JQ2",
            "otherOptions": {}
          },
          "credentials": {
            "slackApi": {
              "id": "credential-id",
              "name": "slackApi Credential"
            }
          },
          "typeVersion": 2.3
        },
        {
          "id": "60a2e196-e5e4-43f9-b1b7-086ae2c3c168",
          "name": "Determine Sentiment",
          "type": "@n8n/n8n-nodes-langchain.openAi",
          "position": [
            -1296,
            0
          ],
          "parameters": {
            "modelId": "gpt-4.1",
            "options": {},
            "responses": {
              "values": [
                {
                  "content": "=Return only one lowercase word: \"positive\", \"negative\", \"suggestion\", or \"neutral\".\nFeedback:  {{ $json.body.feedback_text }}"
                }
              ]
            },
            "builtInTools": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 2
        },
        {
          "id": "12a54d8f-ce42-4a46-8a87-dc902fad61d2",
          "name": "Is Negative or Feature Request?",
          "type": "n8n-nodes-base.if",
          "position": [
            -896,
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          ],
          "parameters": {
            "options": {},
            "conditions": {
              "options": {
                "version": 1,
                "leftValue": "",
                "caseSensitive": true,
                "typeValidation": "strict"
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              "combinator": "or",
              "conditions": [
                {
                  "id": "b3e5a743-a8b5-43a2-adf6-e950ede423b9",
                  "options": {
                    "version": 1,
                    "caseSensitive": false,
                    "typeValidation": "strict"
                  },
                  "operator": {
                    "type": "string",
                    "operation": "equal"
                  },
                  "leftValue": "={{ $json.output[0].content[0].text }}",
                  "rightValue": "negative"
                },
                {
                  "id": "eb0dcfb4-f104-44ca-9210-06d990418afd",
                  "options": {
                    "version": 1,
                    "caseSensitive": false,
                    "typeValidation": "strict"
                  },
                  "operator": {
                    "type": "string",
                    "operation": "equal"
                  },
                  "leftValue": "={{ $json.output[0].content[0].text }}",
                  "rightValue": "suggestion"
                },
                {
                  "id": "51f59663-ded0-42de-aa0d-e51a8b911320",
                  "operator": {
                    "name": "filter.operator.equals",
                    "type": "string",
                    "operation": "equals"
                  },
                  "leftValue": "={{ $json.output[0].content[0].text }}",
                  "rightValue": "negative"
                },
                {
                  "id": "17369b33-e31c-4216-811d-ba113920cbe6",
                  "operator": {
                    "name": "filter.operator.equals",
                    "type": "string",
                    "operation": "equals"
                  },
                  "leftValue": "={{ $json.output[0].content[0].text }}",
                  "rightValue": "suggestion"
                }
              ]
            }
          },
          "typeVersion": 2
        },
        {
          "id": "bfc5ad41-6a16-4ac3-8424-b37f9e4a950b",
          "name": "Create Jira Task",
          "type": "n8n-nodes-base.jira",
          "position": [
            -624,
            16
          ],
          "parameters": {
            "project": {
              "__rl": true,
              "mode": "id",
              "value": "10000"
            },
            "summary": "=Customer Feedback From – {{ $('Collect Feedback').item.json.body.user_name }}",
            "issueType": {
              "__rl": true,
              "mode": "list",
              "value": "10003",
              "cachedResultName": "Task"
            },
            "additionalFields": {
              "description": "=**Customer Feedback**\n**User:** {{ $('Collect Feedback').item.json.body.user_name }}\n**Email:** {{ $('Collect Feedback').item.json.body.email }}\n**Sentiment:** {{ $json.output[0].content[0].text }}\n\n---\n{{ $('Collect Feedback').item.json.body.feedback_text }}\n\n---\nReceived: {{$now}}\n"
            }
          },
          "credentials": {
            "jiraSoftwareCloudApi": {
              "id": "credential-id",
              "name": "jiraSoftwareCloudApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "7276b4c2-821e-410f-842d-baac704da71a",
          "name": "Weekly Summary Trigger",
          "type": "n8n-nodes-base.scheduleTrigger",
          "position": [
            -1664,
            592
          ],
          "parameters": {
            "rule": {
              "interval": [
                {}
              ]
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "bd87ea1c-c5d0-472c-b346-9302e1208874",
          "name": "Search Weekly Issues",
          "type": "n8n-nodes-base.jira",
          "position": [
            -1440,
            592
          ],
          "parameters": {
            "options": {
              "jql": "project = KAN AND created >= startOfDay()"
            },
            "operation": "getAll",
            "returnAll": true
          },
          "credentials": {
            "jiraSoftwareCloudApi": {
              "id": "credential-id",
              "name": "jiraSoftwareCloudApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "018ae0ec-d072-4dcc-b4fc-724181644d3f",
          "name": "Send Weekly Slack Summary",
          "type": "n8n-nodes-base.slack",
          "position": [
            -864,
            592
          ],
          "webhookId": "daa95668-74ba-4883-9e08-0fb4ac09fc92",
          "parameters": {
            "text": "=📊 *Weekly Customer Feedback Summary*\n\n{{ $json.output[0].content[0].text }}",
            "select": "channel",
            "channelId": "C09S57E2JQ2",
            "otherOptions": {
              "includeLinkToWorkflow": false
            }
          },
          "credentials": {
            "slackApi": {
              "id": "credential-id",
              "name": "slackApi Credential"
            }
          },
          "typeVersion": 2.3
        },
        {
          "id": "775ca163-29f6-4884-a4c3-cfc79861bf4e",
          "name": "Create Weekly Summary",
          "type": "@n8n/n8n-nodes-langchain.openAi",
          "position": [
            -1216,
            592
          ],
          "parameters": {
            "modelId": {
              "__rl": true,
              "mode": "list",
              "value": "gpt-4.1",
              "cachedResultName": "GPT-4.1"
            },
            "options": {},
            "responses": {
              "values": [
                {
                  "content": "You are an assistant summarizing customer feedback for management.\nWrite a clear, concise weekly report based only on the provided issues.\nInclude:\n- Overall sentiment distribution\n- Positive patterns\n- Negative patterns / issues\n- Feature requests\n- High-priority problems\n\nFormat the output in official formal message\n"
                },
                {
                  "content": "=Here are the feedback issues:\n{{ $json.fields.description }}"
                }
              ]
            },
            "builtInTools": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 2
        },
        {
          "id": "558d96d1-54c4-45a4-bcb3-2c24e490b190",
          "name": "Sticky Note",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -1904,
            0
          ],
          "parameters": {
            "color": 7,
            "width": 278,
            "height": 224,
            "content": "\nReceives customer feedback data via POST webhook."
          },
          "typeVersion": 1
        },
        {
          "id": "ab3d5be5-e71d-4e0f-abeb-4909461da113",
          "name": "Sticky Note1",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -1584,
            -112
          ],
          "parameters": {
            "color": 7,
            "width": 1286,
            "height": 432,
            "content": "## AI-Driven Feedback Analysis and Ticket Generation\nThis part of the workflow first checks if the incoming feedback has all the required details. If something is missing, it sends an alert to Slack so the team knows the data is not complete. If everything looks good, OpenAI reads the feedback and decides whether the message is positive, negative, neutral, or a feature request. Then the workflow checks if the result is “negative” or a “suggestion.” If yes, it automatically creates a Jira task with all the details so the team can review and fix the issue."
          },
          "typeVersion": 1
        },
        {
          "id": "743c5f7d-5ad5-4f43-97e7-951c8c516386",
          "name": "Sticky Note5",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -1760,
            368
          ],
          "parameters": {
            "color": 7,
            "width": 1094,
            "height": 432,
            "content": "**Weekly Summary Trigger:** Runs automatically once per week to generate the summary.\n\n**Search Weekly Issues:** Fetches all Jira issues created today (or within defined time) for weekly reporting.\n\n**Create Weekly Summary:** Uses GPT to prepare a formal summary of all weekly issues and feedback patterns.\n\n**Send Weekly Slack Summary:** Sends the generated weekly summary report to a Slack channel.\n\n"
          },
          "typeVersion": 1
        },
        {
          "id": "1e9013ef-e2f6-4790-bb9c-318e330ede9a",
          "name": "Sticky Note2",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -2432,
            -192
          ],
          "parameters": {
            "width": 480,
            "height": 816,
            "content": "## How it Works:\nThis workflow automatically handles customer feedback sent through a webhook. When feedback arrives, the system first checks whether the required fields are present. If something is missing or incorrect, a Slack alert is sent to inform the team that the payload is incomplete. If everything is valid, the workflow sends the feedback text to OpenAI, which analyzes the content and identifies the sentiment — such as positive, negative, neutral, or a feature suggestion.\n\nIf the sentiment is negative or a feature request, the workflow creates a Jira task so the team can track and resolve the issue. In parallel, there is a weekly scheduled process that collects all Jira feedback issues created during the week. It then sends these issues to OpenAI to generate a clear and easy-to-read weekly summary, which is finally delivered to Slack for the team to review.\n\nOverall, the workflow reduces manual effort, ensures timely alerts, and helps the team stay updated on feedback trends.\n\n\n## Setup Steps:\n\n1.Create a webhook in n8n to receive customer feedback.\n\n2.Add validation logic to check if feedback text and sentiment exist.\n\n3.Connect a Slack account to send error alerts.\n\n4.Configure the OpenAI node with your API key to analyze sentiment.\n\n5.Add conditions to detect negative or suggestion-type feedback.\n\n6.Connect your Jira account and set project/issue type details.\n\n7.Add a weekly Schedule Trigger to run weekly summaries.\n\n8.Connect Slack again to send the final weekly summary report."
          },
          "typeVersion": 1
        }
      ],
      "active": false,
      "pinData": {},
      "settings": {
        "executionOrder": "v1"
      },
      "versionId": "7e10cf4d-6577-472c-a1f2-1225d7fd1e2b",
      "connections": {
        "Collect Feedback": {
          "main": [
            [
              {
                "node": "Validate Payload",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Validate Payload": {
          "main": [
            [
              {
                "node": "Determine Sentiment",
                "type": "main",
                "index": 0
              }
            ],
            [
              {
                "node": "Slack – Payload Error",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Determine Sentiment": {
          "main": [
            [
              {
                "node": "Is Negative or Feature Request?",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Search Weekly Issues": {
          "main": [
            [
              {
                "node": "Create Weekly Summary",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Create Weekly Summary": {
          "main": [
            [
              {
                "node": "Send Weekly Slack Summary",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Weekly Summary Trigger": {
          "main": [
            [
              {
                "node": "Search Weekly Issues",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Is Negative or Feature Request?": {
          "main": [
            [
              {
                "node": "Create Jira Task",
                "type": "main",
                "index": 0
              }
            ]
          ]
        }
      }
    },
    "lastUpdatedBy": 1,
    "workflowInfo": {
      "nodeCount": 14,
      "nodeTypes": {
        "n8n-nodes-base.if": {
          "count": 2
        },
        "n8n-nodes-base.jira": {
          "count": 2
        },
        "n8n-nodes-base.slack": {
          "count": 2
        },
        "n8n-nodes-base.webhook": {
          "count": 1
        },
        "n8n-nodes-base.stickyNote": {
          "count": 4
        },
        "n8n-nodes-base.scheduleTrigger": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.openAi": {
          "count": 2
        }
      }
    },
    "status": "published",
    "user": {
      "name": "WeblineIndia",
      "username": "weblineindia",
      "bio": "A Leading Software Engineering, Consulting & Outsourcing Services Company in USA & India serving Clients Globally since 1999.",
      "verified": true,
      "links": [
        "https://www.weblineindia.com/"
      ],
      "avatar": "https://gravatar.com/avatar/a229d43aefca4588581583c58bb37b4773aebbdf4c1fef86a08bb1d38eae91fa?r=pg&d=retro&size=200"
    },
    "nodes": [
      {
        "id": 20,
        "icon": "fa:map-signs",
        "name": "n8n-nodes-base.if",
        "codex": {
          "data": {
            "alias": [
              "Router",
              "Filter",
              "Condition",
              "Logic",
              "Boolean",
              "Branch"
            ],
            "details": "The IF node can be used to implement binary conditional logic in your workflow. You can set up one-to-many conditions to evaluate each item of data being inputted into the node. That data will either evaluate to TRUE or FALSE and route out of the node accordingly.\n\nThis node has multiple types of conditions: Bool, String, Number, and Date & Time.",
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/learn-to-automate-your-factorys-incident-reporting-a-step-by-step-guide/",
                  "icon": "🏭",
                  "label": "Learn to Automate Your Factory's Incident Reporting: A Step by Step Guide"
                },
                {
                  "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/",
                  "icon": "☀️",
                  "label": "2021: The Year to Automate the New You with n8n"
                },
                {
                  "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/",
                  "icon": "🧬",
                  "label": "Why business process automation with n8n can change your daily life"
                },
                {
                  "url": "https://n8n.io/blog/create-a-toxic-language-detector-for-telegram/",
                  "icon": "🤬",
                  "label": "Create a toxic language detector for Telegram in 4 step"
                },
                {
                  "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/",
                  "icon": "store",
                  "label": "6 e-commerce workflows to power up your Shopify s"
                },
                {
                  "url": "https://n8n.io/blog/how-to-build-a-low-code-self-hosted-url-shortener/",
                  "icon": "🔗",
                  "label": "How to build a low-code, self-hosted URL shortener in 3 steps"
                },
                {
                  "url": "https://n8n.io/blog/automate-your-data-processing-pipeline-in-9-steps-with-n8n/",
                  "icon": "⚙️",
                  "label": "Automate your data processing pipeline in 9 steps"
                },
                {
                  "url": "https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/",
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                },
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                  "icon": "⚡️",
                  "label": "5 tasks you can automate with the new Notion API "
                },
                {
                  "url": "https://n8n.io/blog/automate-google-apps-for-productivity/",
                  "icon": "💡",
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            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"trigger\",\"schedule\"]",
        "defaults": {
          "name": "Schedule Trigger",
          "color": "#31C49F"
        },
        "iconData": {
          "icon": "clock",
          "type": "icon"
        },
        "displayName": "Schedule Trigger",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1250,
        "icon": "file:openAi.svg",
        "name": "@n8n/n8n-nodes-langchain.openAi",
        "codex": {
          "data": {
            "alias": [
              "LangChain",
              "ChatGPT",
              "Sora",
              "DallE",
              "whisper",
              "audio",
              "transcribe",
              "tts",
              "assistant"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-langchain.openai/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Agents",
                "Miscellaneous",
                "Root Nodes"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "OpenAI"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iNDAiIGhlaWdodD0iNDAiIHZpZXdCb3g9IjAgMCA0MCA0MCIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggZD0iTTM2Ljg2NzEgMTYuMzcxOEMzNy43NzQ2IDEzLjY0OCAzNy40NjIxIDEwLjY2NDIgMzYuMDEwOCA4LjE4NjYxQzMzLjgyODIgNC4zODY1MyAyOS40NDA3IDIuNDMxNDkgMjUuMTU1NiAzLjM1MTUxQzIzLjI0OTMgMS4yMDM5NiAyMC41MTA1IC0wLjAxNzMxNDggMTcuNjM5MiAwLjAwMDE4NTUzM0MxMy4yNTkxIC0wLjAwOTgxNDY4IDkuMzcyNzMgMi44MTAyNSA4LjAyNTIgNi45Nzc4M0M1LjIxMTM5IDcuNTU0MSAyLjc4MjU4IDkuMzE1MzggMS4zNjEzIDExLjgxMTdDLTAuODM3NDkzIDE1LjYwMTggLTAuMzM2MjMyIDIwLjM3OTQgMi42MDEzMyAyMy42Mjk0QzEuNjkzODEgMjYuMzUzMiAyLjAwNjMyIDI5LjMzNzEgMy40NTc2IDMxLjgxNDZDNS42NDAxNSAzNS42MTQ3IDEwLjAyNzcgMzcuNTY5NyAxNC4zMTI4IDM2LjY0OTdDMTYuMjE3OSAzOC43OTczIDE4Ljk1NzkgNDAuMDE4NSAyMS44MjkyIDM5Ljk5OThDMjYuMjExOCA0MC4wMTEgMzAuMDk5NCAzNy4xODg1IDMxLjQ0NjkgMzMuMDE3MUMzNC4yNjA4IDMyLjQ0MDkgMzYuNjg5NiAzMC42Nzk2IDM4LjExMDggMjguMTgzM0M0MC4zMDcxIDI0LjM5MzIgMzkuODA0NiAxOS42MTk0IDM2Ljg2ODMgMTYuMzY5M0wzNi44NjcxIDE2LjM3MThaTTIxLjgzMTcgMzcuMzg2QzIwLjA3OCAzNy4zODg1IDE4LjM3OTIgMzYuNzc0NyAxNy4wMzI5IDM1LjY1MDlDMTcuMDk0MSAzNS42MTg1IDE3LjIwMDQgMzUuNTU5NyAxNy4yNjkxIDM1LjUxNzJMMjUuMjM0MyAzMC45MTcxQzI1LjY0MTggMzAuNjg1OCAyNS44OTE4IDMwLjI1MjEgMjUuODg5MyAyOS43ODMzVjE4LjU1NDNMMjkuMjU1NiAyMC40OTgxQzI5LjI5MTkgMjAuNTE1NiAyOS4zMTU3IDIwLjU1MDYgMjkuMzIwNyAyMC41OTA2VjI5Ljg4OTZDMjkuMzE1NyAzNC4wMjQ3IDI1Ljk2NjggMzcuMzc3MiAyMS44MzE3IDM3LjM4NlpNNS43MjY0IDMwLjUwNzFDNC44NDc2MyAyOC45ODk2IDQuNTMxMzcgMjcuMjEwOCA0LjgzMjYzIDI1LjQ4NDVDNC44OTEzOCAyNS41MTk1IDQuOTk1MTMgMjUuNTgzMiA1LjA2ODg4IDI1LjYyNTdMMTMuMDM0MSAzMC4yMjU4QzEzLjQzNzggMzAuNDYyMSAxMy45Mzc4IDMwLjQ2MjEgMTQuMzQyOCAzMC4yMjU4TDI0LjA2NjggMjQuNjEwN1YyOC40OTgzQzI0LjA2OTMgMjguNTM4MyAyNC4wNTA1IDI4LjU3NyAyNC4wMTkzIDI4LjYwMkwxNS45Njc5IDMzLjI1MDlDMTIuMzgxNSAzNS4zMTU5IDcuODAxNDQgMzQuMDg4NCA1LjcyNzY1IDMwLjUwNzFINS43MjY0Wk0zLjYzMDEgMTMuMTIwNUM0LjUwNTEyIDExLjYwMDQgNS44ODY0IDEwLjQzNzkgNy41MzE0NCA5LjgzNDE1QzcuNTMxNDQgOS45MDI5IDcuNTI3NjkgMTAuMDI0MSA3LjUyNzY5IDEwLjEwOTJWMTkuMzEwNkM3LjUyNTE5IDE5Ljc3ODEgNy43NzUxOSAyMC4yMTE5IDguMTgxNDUgMjAuNDQzMUwxNy45MDU0IDI2LjA1N0wxNC41MzkxIDI4LjAwMDhDMTQuNTA1MyAyOC4wMjMzIDE0LjQ2MjggMjguMDI3IDE0LjQyNTMgMjguMDEwOEw2LjM3MjY2IDIzLjM1ODJDMi43OTM4MyAyMS4yODU2IDEuNTY2MzEgMTYuNzA2OCAzLjYyODg1IDEzLjEyMTdMMy42MzAxIDEzLjEyMDVaTTMxLjI4ODIgMTkuNTU2OUwyMS41NjQyIDEzLjk0MTdMMjQuOTMwNiAxMS45OTkyQzI0Ljk2NDMgMTEuOTc2NyAyNS4wMDY4IDExLjk3MjkgMjUuMDQ0MyAxMS45ODkyTDMzLjA5NyAxNi42MzhDMzYuNjgyMSAxOC43MDkzIDM3LjkxMDggMjMuMjk1NyAzNS44Mzk1IDI2Ljg4MDhDMzQuOTYzMyAyOC4zOTgzIDMzLjU4MzIgMjkuNTYwOCAzMS45Mzk1IDMwLjE2NThWMjAuNjg5NEMzMS45NDMyIDIwLjIyMTkgMzEuNjk0NSAxOS43ODk0IDMxLjI4OTQgMTkuNTU2OUgzMS4yODgyWk0zNC42MzgzIDE0LjUxNDJDMzQuNTc5NSAxNC40NzggMzQuNDc1OCAxNC40MTU1IDM0LjQwMiAxNC4zNzNMMjYuNDM2OCA5Ljc3Mjg5QzI2LjAzMzEgOS41MzY2NCAyNS41MzMxIDkuNTM2NjQgMjUuMTI4MSA5Ljc3Mjg5TDE1LjQwNDEgMTUuMzg4VjExLjUwMDRDMTUuNDAxNiAxMS40NjA0IDE1LjQyMDQgMTEuNDIxNyAxNS40NTE2IDExLjM5NjdMMjMuNTAzIDYuNzUxNThDMjcuMDg5NCA0LjY4Mjc5IDMxLjY3NDUgNS45MTQwNiAzMy43NDIgOS41MDE2NEMzNC42MTU4IDExLjAxNjcgMzQuOTMyIDEyLjc5MDUgMzQuNjM1OCAxNC41MTQySDM0LjYzODNaTTEzLjU3NDEgMjEuNDQzMUwxMC4yMDY1IDE5LjQ5OTRDMTAuMTcwMiAxOS40ODE5IDEwLjE0NjUgMTkuNDQ2OCAxMC4xNDE1IDE5LjQwNjhWMTAuMTA3OUMxMC4xNDQgNS45Njc4MSAxMy41MDI4IDIuNjEyNzQgMTcuNjQyOSAyLjYxNTI0QzE5LjM5NDIgMi42MTUyNCAyMS4wODkyIDMuMjMwMjUgMjIuNDM1NSA0LjM1MDI4QzIyLjM3NDMgNC4zODI3OCAyMi4yNjkzIDQuNDQxNTMgMjIuMTk5MiA0LjQ4NDAzTDE0LjIzNDEgOS4wODQxM0MxMy44MjY2IDkuMzE1MzggMTMuNTc2NiA5Ljc0Nzg5IDEzLjU3OTEgMTAuMjE2N0wxMy41NzQxIDIxLjQ0MDZWMjEuNDQzMVpNMTUuNDAyOSAxNy41MDA2TDE5LjczNDIgMTQuOTk5M0wyNC4wNjU1IDE3LjQ5OTNWMjIuNTAwN0wxOS43MzQyIDI1LjAwMDdMMTUuNDAyOSAyMi41MDA3VjE3LjUwMDZaIiBmaWxsPSJibGFjayIvPgo8L3N2Zz4K"
        },
        "displayName": "OpenAI",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      }
    ],
    "categories": [
      {
        "id": 41,
        "name": "Ticket Management"
      },
      {
        "id": 49,
        "name": "AI Summarization"
      }
    ],
    "image": []
  }
}