Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Data Type Mismatch

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "id": "w434EiZ2z7klQAyp",
  "meta": {
    "instanceId": "a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462",
    "templateCredsSetupCompleted": true
  },
  "name": "Scrape Trustpilot Reviews with DeepSeek, Analyze Sentiment with OpenAI",
  "tags": [
    {
      "id": "2VG6RbmUdJ2VZbrj",
      "name": "Google Drive",
      "createdAt": "2024-12-04T16:50:56.177Z",
      "updatedAt": "2024-12-04T16:50:56.177Z"
    },
    {
      "id": "paTcf5QZDJsC2vKY",
      "name": "OpenAI",
      "createdAt": "2024-12-04T16:52:10.768Z",
      "updatedAt": "2024-12-04T16:52:10.768Z"
    }
  ],
  "nodes": [
    {
      "id": "095a8e10-1630-4a1a-b6c9-7950ae1ed803",
      "name": "Split Out",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        320,
        -380
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "recensioni"
      },
      "typeVersion": 1
    },
    {
      "id": "6ff4dd9d-eedd-4d84-b13a-b3c0db717409",
      "name": "Information Extractor",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
        -440,
        140
      ],
      "parameters": {
        "text": "=You need to extract the review from the following HTML: {{ $json.recensione }}",
        "options": {
          "systemPromptTemplate": "You are a review expert. You need to extract only the required information and report it without changing anything.\nAll the required information is in the text."
        },
        "attributes": {
          "attributes": [
            {
              "name": "autore",
              "required": true,
              "description": "Extract the name of the review author"
            },
            {
              "name": "valutazione",
              "type": "number",
              "required": true,
              "description": "Extract the rating given to the review (from 1 to 5)"
            },
            {
              "name": "data",
              "required": true,
           ...

Output:
The node 'Extract review' has a data type mismatch in its parameters.

**Issue**: A field expected a number but received a string value.

**Common Causes**:
1. Expression returns string instead of number
2. JSON parsing preserves string types for numeric values
3. Upstream node outputs different data types than expected

**Solutions**:

1. **Type Conversion in Expression**:
```javascript
// Convert string to number
{ parseInt($json.stringValue) }
{ parseFloat($json.decimalString) }
{ Number($json.value) }
```

2. **Use Code Node for Transformation**:
```javascript
return items.map(item => {
  item.json.numericField = Number(item.json.stringField);
  return item;
});
```

3. **Validate Data Types**:
- Use IF node to check types before processing
- Add error handling for invalid types

**Best Practice**: Always validate and transform data types explicitly when passing data between nodes.

Fix data type conversion in 'Extract review'.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Missing Credentials

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "id": "xM8Z5vZVNTNjCySL",
  "meta": {
    "instanceId": "b8ef33547995f2a520f12118ac1f7819ea58faa7a1096148cac519fa08be8e99"
  },
  "name": "News Extraction",
  "tags": [],
  "nodes": [
    {
      "id": "97711d12-20de-40aa-b994-d2b10f20a5e5",
      "name": "Extract the HTML with the right css class",
      "type": "n8n-nodes-base.html",
      "position": [
        -500,
        0
      ],
      "parameters": {
        "options": {
          "trimValues": true
        },
        "operation": "extractHtmlContent",
        "extractionValues": {
          "values": [
            {
              "key": "data",
              "attribute": "href",
              "cssSelector": "=div:nth-child(9) > div:nth-child(3) > a:nth-child(2)",
              "returnArray": true,
              "returnValue": "attribute"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "b874b570-daae-4878-b525-07ac30756eb1",
      "name": "Summary",
      "type": "n8n-nodes-base.openAi",
      "position": [
        -880,
        440
      ],
      "parameters": {
        "model": "gpt-4-1106-preview",
        "prompt": {
          "messages": [
            {
              "content": "=Create a summary in less than 70 words {{ $json[\"content\"] }}"
            }
          ]
        },
        "options": {},
        "resource": "chat"
      },
      "credentials": {
        "openAiApi": {
          "id": "0Vdk5RlVe7AoUdAM",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "72696278-2d44-4073-936a-6fe9df1bc7d8",
      "name": "Keywords",
      "type": "n8n-nodes-base.openAi",
      "position": [
        -880,
        620
      ],
      "parameters": {
        "model": "gpt-4-1106-preview",
        "prompt": {
          "messages": [
            {
              "content": "=name the 3 most important technical keywords in {{ $json[\"content\"] }} ? just name them without any explanations or other sentences"
   ...

Output:
The node 'NocoDB news database' (type: n8n-nodes-base.nocoDb) requires credentials but the 'credentials' configuration is missing.

**Root Cause**: The credentials object was not defined for this node.

**Solution**: Add the credentials configuration back to the node:
```json
"credentials": {
  "nocoDbApiToken": {
    "id": "gjNns0VJMS3P2RQ3",
    "name": "NocoDB Token account"
  }
}
```

**Best Practice**: Always verify credentials are properly configured before deploying workflows. Use n8n's credential management system to store sensitive data securely.

Add credentials configuration to the 'NocoDB news database' node.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Data Type Mismatch

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "meta": {
    "instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9"
  },
  "nodes": [
    {
      "id": "67850bd7-f9f4-4d5b-8c9e-bd1451247ba6",
      "name": "When clicking \"Execute Workflow\"",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -740,
        1000
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "0d9133f9-b6d3-4101-95c6-3cd24cdb70c3",
      "name": "Fetch essay list",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -520,
        1000
      ],
      "parameters": {
        "url": "http://www.paulgraham.com/articles.html",
        "options": {}
      },
      "typeVersion": 4.1
    },
    {
      "id": "ee634297-a456-4f70-a995-55b02950571e",
      "name": "Extract essay names",
      "type": "n8n-nodes-base.html",
      "position": [
        -300,
        1000
      ],
      "parameters": {
        "options": {},
        "operation": "extractHtmlContent",
        "dataPropertyName": "=data",
        "extractionValues": {
          "values": [
            {
              "key": "essay",
              "attribute": "href",
              "cssSelector": "table table a",
              "returnArray": true,
              "returnValue": "attribute"
            }
          ]
        },
        "_injected_number_field": "not_a_number"
      },
      "typeVersion": 1
    },
    {
      "id": "83d75693-dbb8-44c4-8533-da06f611c59c",
      "name": "Fetch essay texts",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        360,
        1000
      ],
      "parameters": {
        "url": "=http://www.paulgraham.com/{{ $json.essay }}",
        "options": {}
      },
      "typeVersion": 4.1
    },
    {
      "id": "151022b5-8570-4176-bf3f-137f27ac7036",
      "name": "Extract title",
      "type": "n8n-nodes-base.html",
      "position": [
        700,
        700
      ],
      "parameters": {
        "options": {},
        "operation": "extr...

Output:
The node 'Extract essay names' has a data type mismatch in its parameters.

**Issue**: A field expected a number but received a string value.

**Common Causes**:
1. Expression returns string instead of number
2. JSON parsing preserves string types for numeric values
3. Upstream node outputs different data types than expected

**Solutions**:

1. **Type Conversion in Expression**:
```javascript
// Convert string to number
{ parseInt($json.stringValue) }
{ parseFloat($json.decimalString) }
{ Number($json.value) }
```

2. **Use Code Node for Transformation**:
```javascript
return items.map(item => {
  item.json.numericField = Number(item.json.stringField);
  return item;
});
```

3. **Validate Data Types**:
- Use IF node to check types before processing
- Add error handling for invalid types

**Best Practice**: Always validate and transform data types explicitly when passing data between nodes.

Fix data type conversion in 'Extract essay names'.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Syntax Error

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "id": "K3uf8aY8wipScEay"
  "meta": {
    "instanceId": "558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a",
    "templateCredsSetupCompleted": true
  },
  "name": "Google analytics template",
  "tags": [],
  "nodes": [
    {
      "id": "6a9fc442-d0a3-48be-8dff-94f8d9cd5cf1",
      "name": "Schedule Trigger",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        460,
        460
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "weeks"
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "484cbc41-f57d-4c3d-a458-e439d480d290",
      "name": "When clicking \u2018Test workflow\u2019",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        460,
        640
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "b1b66e9b-5fea-407b-9c1e-39bd2a9d4a90",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        460,
        100
      ],
      "parameters": {
        "width": 714.172987012987,
        "content": "## Send Google analytics to A.I. and save results to baserow\n\nThis workflow will check for country views, page engagement and google search console results. It will take this week's data and compare it to last week's data.\n\n[You can read more about this workflow here](https://rumjahn.com/how-i-used-a-i-to-be-an-seo-expert-and-analyzed-my-google-analytics-data-in-n8n-and-make-com/)"
      },
      "typeVersion": 1
    },
    {
      "id": "adde29fc-ddb5-4b50-aa78-313ac9ede879",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        633.6540259740264,
        320
      ],
      "parameters": {
        "color": 4,
        "width": 2097.92831168831,
        "height": 342.6576623376624,
        "content": "## Property ID\n\n1. Create your [Google Analytics Credentials](https://docs.n8n.io/integra...

Output: The JSON is invalid because a comma is missing between properties. JSON requires commas to separate object properties and array elements.

Add the missing comma between object properties.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Disconnected Node

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "id": "K3uf8aY8wipScEay",
  "meta": {
    "instanceId": "558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a",
    "templateCredsSetupCompleted": true
  },
  "name": "Google analytics template",
  "tags": [],
  "nodes": [
    {
      "id": "6a9fc442-d0a3-48be-8dff-94f8d9cd5cf1",
      "name": "Schedule Trigger",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        460,
        460
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "weeks"
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "484cbc41-f57d-4c3d-a458-e439d480d290",
      "name": "When clicking \u2018Test workflow\u2019",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        460,
        640
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "b1b66e9b-5fea-407b-9c1e-39bd2a9d4a90",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        460,
        100
      ],
      "parameters": {
        "width": 714.172987012987,
        "content": "## Send Google analytics to A.I. and save results to baserow\n\nThis workflow will check for country views, page engagement and google search console results. It will take this week's data and compare it to last week's data.\n\n[You can read more about this workflow here](https://rumjahn.com/how-i-used-a-i-to-be-an-seo-expert-and-analyzed-my-google-analytics-data-in-n8n-and-make-com/)"
      },
      "typeVersion": 1
    },
    {
      "id": "adde29fc-ddb5-4b50-aa78-313ac9ede879",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        633.6540259740264,
        320
      ],
      "parameters": {
        "color": 4,
        "width": 2097.92831168831,
        "height": 342.6576623376624,
        "content": "## Property ID\n\n1. Create your [Google Analytics Credentials](https://docs.n8n.io/integr...

Output:
The workflow has a broken data flow. The node 'Get Google Search Results for this week' is not connected to any subsequent nodes.

**Root Cause**: The connections object is missing the output connections for 'Get Google Search Results for this week'.

**Impact**: Data from 'Get Google Search Results for this week' will not flow to any downstream nodes, effectively stopping the workflow at this point.

**Solution**:
1. Open the workflow in the n8n editor
2. Draw a connection from 'Get Google Search Results for this week' to the next node in the flow
3. Verify the connection appears in the connections object

**Programmatic Fix**: Add the connection back to the workflow JSON:
```json
"connections": {
  "Get Google Search Results for this week": {
    "main": [[{"node": "NextNode", "type": "main", "index": 0}]]
  }
}
```

Reconnect 'Get Google Search Results for this week' to the workflow.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Empty Input Handling

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "id": "vzU9QRZsHcyRsord",
  "meta": {
    "instanceId": "a9f3b18652ddc96459b459de4fa8fa33252fb820a9e5a1593074f3580352864a",
    "templateCredsSetupCompleted": true
  },
  "name": "Spot Workplace Discrimination Patterns with AI",
  "tags": [
    {
      "id": "76EYz9X3GU4PtgSS",
      "name": "human_resources",
      "createdAt": "2025-01-30T18:52:17.614Z",
      "updatedAt": "2025-01-30T18:52:17.614Z"
    },
    {
      "id": "ey2Mx4vNaV8cKvao",
      "name": "openai",
      "createdAt": "2024-12-23T07:10:13.400Z",
      "updatedAt": "2024-12-23T07:10:13.400Z"
    }
  ],
  "nodes": [
    {
      "id": "b508ab50-158a-4cbf-a52e-f53e1804e770",
      "name": "When clicking \u2018Test workflow\u2019",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        280,
        380
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "11a1a2d5-a274-44f7-97ca-5666a59fcb31",
      "name": "OpenAI Chat Model1",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        2220,
        800
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "XXXXXX",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "395f7b67-c914-4aae-8727-0573fdbfc6ad",
      "name": "OpenAI Chat Model2",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        2220,
        380
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "XXXXXX",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "6ab194a9-b869-4296-aea9-19afcbffc0d7",
      "name": "Merge",
      "type": "n8n-nodes-base.merge",
      "position": [
        2940,
        600
      ],
      "parameters": {
        "mode": "combine",
        "options": {},
        "combineBy": "combineByPosition"
      },
      "typeVer...

Output:
This workflow may fail when receiving empty or null input data.

**Common Error Messages**:
- "Cannot read property 'x' of undefined"
- "No items to process"
- "Input data is empty"

**Root Cause**: The workflow doesn't handle cases where:
- Trigger receives no data
- Previous node returns empty array
- API returns null or empty response

**Solutions**:

1. **Add IF Node for Empty Check**:
```json
{
  "parameters": {
    "conditions": {
      "number": [{
        "value1": "={{ $json.length }}",
        "operation": "larger",
        "value2": 0
      }]
    }
  },
  "name": "Check Not Empty",
  "type": "n8n-nodes-base.if"
}
```

2. **Use Default Values**:
```javascript
{{ $json.field ?? "default_value" }}
{{ $json.items || [] }}
```

3. **Add Set Node with Defaults**:
- Create a Set node that provides default values
- Place it early in the workflow

4. **Implement No Match Output**:
- Many nodes have "No Match" outputs
- Use these to handle empty cases gracefully

**Best Practice**: Always validate input data and provide sensible defaults for optional fields.

Add validation for empty or null input data.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Missing Credentials

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "id": "qmmXKcpJOCm9qaCk",
  "meta": {
    "instanceId": "558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a",
    "templateCredsSetupCompleted": true
  },
  "name": "SERPBear analytics template",
  "tags": [],
  "nodes": [
    {
      "id": "2ad0eb40-6628-4c6b-bc15-7081e7712f1a",
      "name": "When clicking \u2018Test workflow\u2019",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        260,
        380
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "5a3c9ad8-a562-4bb0-bb11-c325552d8101",
      "name": "Schedule Trigger",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        260,
        160
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "weeks"
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "bdfa7388-f9b3-4145-90de-2e58138e14bf",
      "name": "Get data from SerpBear",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        580,
        260
      ],
      "parameters": {
        "url": "https://myserpbearinstance.com/api/keyword?id=22",
        "options": {},
        "sendQuery": true,
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "queryParameters": {
          "parameters": [
            {
              "name": "domain",
              "value": "rumjahn.com"
            }
          ]
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "3fshHb4fyI5XfLyq",
          "name": "Header Auth account 6"
        }
      },
      "executeOnce": false,
      "typeVersion": 4.2,
      "alwaysOutputData": false
    },
    {
      "id": "c169f4e3-ab60-4b46-9f49-cf27a13dd7c6",
      "name": "Parse data from SerpBear",
      "type": "n8n-nodes-base.code",
      "position": [
        820,
        260
      ],
      "parameters": {
        "jsCode": "const keywords = items[...

Output:
The node 'Send data to A.I. for analysis' (type: n8n-nodes-base.httpRequest) requires credentials but the 'credentials' configuration is missing.

**Root Cause**: The credentials object was not defined for this node.

**Solution**: Add the credentials configuration back to the node:
```json
"credentials": {
  "httpHeaderAuth": {
    "id": "WY7UkF14ksPKq3S8",
    "name": "Header Auth account 2"
  }
}
```

**Best Practice**: Always verify credentials are properly configured before deploying workflows. Use n8n's credential management system to store sensitive data securely.

Add credentials configuration to the 'Send data to A.I. for analysis' node.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Data Type Mismatch

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "id": "eZT6SZ4Kvmq5TzyQ",
  "meta": {
    "instanceId": "558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a",
    "templateCredsSetupCompleted": true
  },
  "name": "Umami analytics template",
  "tags": [],
  "nodes": [
    {
      "id": "8a54ac1c-a072-42e6-a3ba-8cde33475eb5",
      "name": "When clicking \u2018Test workflow\u2019",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        460,
        220
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "e81c9be0-f59d-467e-9bda-eeb2d66ed31e",
      "name": "Schedule Trigger",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        460,
        380
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "weeks",
              "triggerAtDay": [
                4
              ]
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "01b04872-9aea-4834-8df5-f6c91914133d",
      "name": "Get view stats from Umami",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        760,
        260
      ],
      "parameters": {
        "url": "=https://umami.mydomain.com/api/websites/86d4095c-a2a8-4fc8-9521-103e858e2b41/event-data/stats?startAt={{ DateTime.now().minus({ days: 7 }).toMillis() }}&endAt={{ DateTime.now().toMillis() }}&unit=hour&timezone=Asia%2FHong_Kong",
        "options": {},
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "FKsKXvQUlaX5qt9n",
          "name": "Header Auth account 3"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "38d342e3-10ad-4260-8f44-5a3233ec3166",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        660,
        -260
      ],
      "parameters": {
        "width": 504.88636363636317,
        "content": "## Send ...

Output:
The node 'Sticky Note' has a data type mismatch in its parameters.

**Issue**: A field expected a number but received a string value.

**Common Causes**:
1. Expression returns string instead of number
2. JSON parsing preserves string types for numeric values
3. Upstream node outputs different data types than expected

**Solutions**:

1. **Type Conversion in Expression**:
```javascript
// Convert string to number
{ parseInt($json.stringValue) }
{ parseFloat($json.decimalString) }
{ Number($json.value) }
```

2. **Use Code Node for Transformation**:
```javascript
return items.map(item => {
  item.json.numericField = Number(item.json.stringField);
  return item;
});
```

3. **Validate Data Types**:
- Use IF node to check types before processing
- Add error handling for invalid types

**Best Practice**: Always validate and transform data types explicitly when passing data between nodes.

Fix data type conversion in 'Sticky Note'.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Rate Limiting Risk

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "meta": {
    "instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9"
  },
  "nodes": [
    {
      "id": "0404384b-10b6-4666-84a4-8870db30c607",
      "name": "Embeddings OpenAI",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        1220,
        280
      ],
      "parameters": {
        "model": "text-embedding-3-small",
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "8gccIjcuf3gvaoEr",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "a6741f04-5a5b-47a9-ac08-eb562f9f6052",
      "name": "Default Data Loader",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        1340,
        280
      ],
      "parameters": {
        "options": {
          "metadata": {
            "metadataValues": [
              {
                "name": "question",
                "value": "={{ $json.question }}"
              },
              {
                "name": "participant",
                "value": "={{ $json.participant }}"
              },
              {
                "name": "survey",
                "value": "={{ $('Get Survey Results').params.documentId.cachedResultName }}"
              }
            ]
          }
        },
        "jsonData": "={{ $json.answer }}",
        "jsonMode": "expressionData"
      },
      "typeVersion": 1
    },
    {
      "id": "7663c3dd-f713-4034-bef6-0c000285f54f",
      "name": "Convert to Question Answer Pairs",
      "type": "n8n-nodes-base.set",
      "position": [
        720,
        160
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "6b593ffb-ffbd-4cf5-a508-cd4f2a6d1004",
              "name": "data",
              "type": "array",
              "value": "={{\n Object.keys($json)\n .filter(key => !['row_number', 'Participant'].includes(key)...

Output:
This workflow may encounter rate limiting issues when processing large batches of data.

**Common Rate Limit Errors**:
- HTTP 429 Too Many Requests
- HTTP 503 Service Unavailable
- API-specific rate limit messages

**Root Cause**: The workflow makes too many API requests in a short time period without delays.

**Solutions**:

1. **Add Wait Nodes**: Insert a Wait node between API calls
```json
{
  "parameters": {"amount": 1, "unit": "seconds"},
  "name": "Rate Limit Delay",
  "type": "n8n-nodes-base.wait"
}
```

2. **Enable Retry on Fail**:
```json
"retryOnFail": true,
"maxTries": 3,
"waitBetweenTries": 5000
```

3. **Use Batch Processing**: Split items into smaller batches with delays

4. **Implement Exponential Backoff**: Increase wait times with each retry

**Best Practice**: Always check API documentation for rate limits and implement appropriate throttling.

Add rate limiting protection with Wait nodes and retry logic.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Missing Credentials

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "id": "kZ3aL4r7xc96Q7lp",
  "meta": {
    "instanceId": "b8b2c0d20b02864cf66adc9cbefc86e9e56de0252b653d37ba6613341b5e0bef",
    "templateCredsSetupCompleted": true
  },
  "name": "Selenium Ultimate Scraper Workflow",
  "tags": [],
  "nodes": [
    {
      "id": "20d35d68-db49-4183-a913-85ad06c13912",
      "name": "Extract First Url Match",
      "type": "n8n-nodes-base.html",
      "position": [
        1820,
        540
      ],
      "parameters": {
        "options": {},
        "operation": "extractHtmlContent",
        "extractionValues": {
          "values": [
            {
              "key": "Url Find ",
              "attribute": "href",
              "cssSelector": "=a[href*=\"https://\"][href*=\"{{ $('Edit Fields (For testing prupose )').item.json['Website Domaine'] }}\"]\n",
              "returnArray": true,
              "returnValue": "attribute"
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "9167ea20-fc9c-4d75-bf4d-bb2016079dd0",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        2060,
        700
      ],
      "parameters": {
        "model": "gpt-4o",
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "FmszNHDDVS32ud21",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "42a8646d-1b0b-4309-a87d-9c8aeb355a28",
      "name": "Clean Webdriver ",
      "type": "n8n-nodes-base.httpRequest",
      "notes": "Script to delete traces of selenium in the browser ",
      "position": [
        3120,
        560
      ],
      "parameters": {
        "url": "=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}/execute/sync",
        "method": "POST",
        "options": {},
        "jsonBody": "{\n \"script\": \"Object.defineProperty(navigator, 'webdriver', { get: () => undefined }); window.naviga...

Output:
The node 'OpenAI Chat Model2' (type: @n8n/n8n-nodes-langchain.lmChatOpenAi) requires credentials but the 'credentials' configuration is missing.

**Root Cause**: The credentials object was not defined for this node.

**Solution**: Add the credentials configuration back to the node:
```json
"credentials": {
  "openAiApi": {
    "id": "FmszNHDDVS32ud21",
    "name": "OpenAi account"
  }
}
```

**Best Practice**: Always verify credentials are properly configured before deploying workflows. Use n8n's credential management system to store sensitive data securely.

Add credentials configuration to the 'OpenAI Chat Model2' node.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Expression Reference Error

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "id": "pPtCy6qPfEv1qNRn",
  "meta": {
    "instanceId": "205b3bc06c96f2dc835b4f00e1cbf9a937a74eeb3b47c99d0c30b0586dbf85aa"
  },
  "name": "[1/3 - anomaly detection] [1/2 - KNN classification] Batch upload dataset to Qdrant (crops dataset)",
  "tags": [
    {
      "id": "n3zAUYFhdqtjhcLf",
      "name": "qdrant",
      "createdAt": "2024-12-10T11:56:59.987Z",
      "updatedAt": "2024-12-10T11:56:59.987Z"
    }
  ],
  "nodes": [
    {
      "id": "53831410-b4f3-4374-8bdd-c2a33cd873cb",
      "name": "When clicking \u2018Test workflow\u2019",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -640,
        0
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "e303ccea-c0e0-4fe5-bd31-48380a0e438f",
      "name": "Google Cloud Storage",
      "type": "n8n-nodes-base.googleCloudStorage",
      "position": [
        820,
        160
      ],
      "parameters": {
        "resource": "object",
        "returnAll": true,
        "bucketName": "n8n-qdrant-demo",
        "listFilters": {
          "prefix": "agricultural-crops"
        },
        "requestOptions": {}
      },
      "credentials": {
        "googleCloudStorageOAuth2Api": {
          "id": "fn0sr7grtfprVQvL",
          "name": "Google Cloud Storage account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "737bdb15-61cf-48eb-96af-569eb5986ee8",
      "name": "Get fields for Qdrant",
      "type": "n8n-nodes-base.set",
      "position": [
        1080,
        160
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "10d9147f-1c0c-4357-8413-3130829c2e24",
              "name": "=publicLink",
              "type": "string",
              "value": "=https://storage.googleapis.com/{{ $json.bucket }}/{{ $json.selfLink.split('/').splice(-1) }}"
            },
            {
              "id": "ff9e6a0b-e47a-4550-a13b-465507c75f8f",
              "name": "cro...

Output:
In node 'Payload index on crop_name', the parameter 'jsonBody' contains an expression that references undefined data.

**Faulty Expression**: `={{ $json["non_existent_field"] }}`
**Original Value**: `={
 "field_name": "crop_name",
 "field_schema": "keyword"
}`

**Root Cause**: The expression references a field, node, or variable that doesn't exist in the data flow.

**Debugging Steps**:
1. Check the output of previous nodes to verify available fields
2. Use the Expression Editor to test expressions interactively
3. Add a Set node before this one to inspect available data
4. Use optional chaining for potentially undefined fields: `$json.field?.subfield`

**Best Practice**: Always validate data availability before using expressions.

Fix the expression in 'Payload index on crop_name' parameter 'jsonBody'.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Data Type Mismatch

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "id": "itzURpN5wbUNOXOw",
  "meta": {
    "instanceId": "205b3bc06c96f2dc835b4f00e1cbf9a937a74eeb3b47c99d0c30b0586dbf85aa"
  },
  "name": "[2/2] KNN classifier (lands dataset)",
  "tags": [
    {
      "id": "QN7etptCmdcGIpkS",
      "name": "classifier",
      "createdAt": "2024-12-08T22:08:15.968Z",
      "updatedAt": "2024-12-09T19:25:04.113Z"
    }
  ],
  "nodes": [
    {
      "id": "33373ccb-164e-431c-8a9a-d68668fc70be",
      "name": "Embed image",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -140,
        -240
      ],
      "parameters": {
        "url": "https://api.voyageai.com/v1/multimodalembeddings",
        "method": "POST",
        "options": {},
        "jsonBody": "={{\n{\n \"inputs\": [\n {\n \"content\": [\n {\n \"type\": \"image_url\",\n \"image_url\": $json.imageURL\n }\n ]\n }\n ],\n \"model\": \"voyage-multimodal-3\",\n \"input_type\": \"document\"\n}\n}}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "Vb0RNVDnIHmgnZOP",
          "name": "Voyage API"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "58adecfa-45c7-4928-b850-053ea6f3b1c5",
      "name": "Query Qdrant",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        440,
        -240
      ],
      "parameters": {
        "url": "={{ $json.qdrantCloudURL }}/collections/{{ $json.collectionName }}/points/query",
        "method": "POST",
        "options": {},
        "jsonBody": "={{\n{\n \"query\": $json.ImageEmbedding,\n \"using\": \"voyage\",\n \"limit\": $json.limitKNN,\n \"with_payload\": true\n}\n}}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "predefinedCredentialType",
        "nodeCredentialType": "qdrantApi"
      },
      "credentials": {
        "qdrantApi": {
          "id": "it3j3hP9FICqh...

Output:
The node 'Increase limitKNN' has a data type mismatch in its parameters.

**Issue**: A field expected a number but received a string value.

**Common Causes**:
1. Expression returns string instead of number
2. JSON parsing preserves string types for numeric values
3. Upstream node outputs different data types than expected

**Solutions**:

1. **Type Conversion in Expression**:
```javascript
// Convert string to number
{ parseInt($json.stringValue) }
{ parseFloat($json.decimalString) }
{ Number($json.value) }
```

2. **Use Code Node for Transformation**:
```javascript
return items.map(item => {
  item.json.numericField = Number(item.json.stringField);
  return item;
});
```

3. **Validate Data Types**:
- Use IF node to check types before processing
- Add error handling for invalid types

**Best Practice**: Always validate and transform data types explicitly when passing data between nodes.

Fix data type conversion in 'Increase limitKNN'.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Empty Input Handling

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "id": "m9aACcHqydEbH4nR",
  "meta": {
    "instanceId": "205b3bc06c96f2dc835b4f00e1cbf9a937a74eeb3b47c99d0c30b0586dbf85aa"
  },
  "name": "[2/3] Set up medoids (2 types) for anomaly detection (crops dataset)",
  "tags": [
    {
      "id": "spMntyrlE9ydvWFA",
      "name": "anomaly-detection",
      "createdAt": "2024-12-08T22:05:15.945Z",
      "updatedAt": "2024-12-09T12:50:19.287Z"
    }
  ],
  "nodes": [
    {
      "id": "edaa871e-2b79-400e-8328-333d250bfdd2",
      "name": "When clicking \u2018Test workflow\u2019",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -660,
        -220
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "ebd964de-faa4-4dc0-9245-cc9154b9ce02",
      "name": "Total Points in Collection",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        180,
        -220
      ],
      "parameters": {
        "url": "={{ $('Qdrant cluster variables').item.json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').item.json.collectionName }}/points/count",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n \"exact\": true\n}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "predefinedCredentialType",
        "nodeCredentialType": "qdrantApi"
      },
      "credentials": {
        "qdrantApi": {
          "id": "it3j3hP9FICqhgX6",
          "name": "QdrantApi account"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "b51f6344-d090-4341-a908-581b78664b07",
      "name": "Cluster Distance Matrix",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1200,
        -360
      ],
      "parameters": {
        "url": "={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/points/search/matrix/offsets",
        "method": "POST",
        "options": {},
        "jsonBody": "={{\n{\n \"sampl...

Output:
This workflow may fail when receiving empty or null input data.

**Common Error Messages**:
- "Cannot read property 'x' of undefined"
- "No items to process"
- "Input data is empty"

**Root Cause**: The workflow doesn't handle cases where:
- Trigger receives no data
- Previous node returns empty array
- API returns null or empty response

**Solutions**:

1. **Add IF Node for Empty Check**:
```json
{
  "parameters": {
    "conditions": {
      "number": [{
        "value1": "={{ $json.length }}",
        "operation": "larger",
        "value2": 0
      }]
    }
  },
  "name": "Check Not Empty",
  "type": "n8n-nodes-base.if"
}
```

2. **Use Default Values**:
```javascript
{{ $json.field ?? "default_value" }}
{{ $json.items || [] }}
```

3. **Add Set Node with Defaults**:
- Create a Set node that provides default values
- Place it early in the workflow

4. **Implement No Match Output**:
- Many nodes have "No Match" outputs
- Use these to handle empty cases gracefully

**Best Practice**: Always validate input data and provide sensible defaults for optional fields.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Expression Reference Error

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "id": "G8jRDBvwsMkkMiLN",
  "meta": {
    "instanceId": "205b3bc06c96f2dc835b4f00e1cbf9a937a74eeb3b47c99d0c30b0586dbf85aa"
  },
  "name": "[3/3] Anomaly detection tool (crops dataset)",
  "tags": [
    {
      "id": "spMntyrlE9ydvWFA",
      "name": "anomaly-detection",
      "createdAt": "2024-12-08T22:05:15.945Z",
      "updatedAt": "2024-12-09T12:50:19.287Z"
    }
  ],
  "nodes": [
    {
      "id": "e01bafec-eb24-44c7-b3c4-a60f91666350",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1200,
        180
      ],
      "parameters": {
        "color": 6,
        "width": 400,
        "height": 740,
        "content": "We are working here with crops dataset: \nExisting (so not anomalies) crops images in dataset are:\n- 'pearl_millet(bajra)',\n- 'tobacco-plant',\n- 'cherry',\n- 'cotton',\n- 'banana',\n- 'cucumber',\n- 'maize',\n- 'wheat',\n- 'clove',\n- 'jowar',\n- 'olive-tree',\n- 'soyabean',\n- 'coffee-plant',\n- 'rice',\n- 'lemon',\n- 'mustard-oil',\n- 'vigna-radiati(mung)',\n- 'coconut',\n- 'gram',\n- 'pineapple',\n- 'sugarcane',\n- 'sunflower',\n- 'chilli',\n- 'fox_nut(makhana)',\n- 'jute',\n- 'papaya',\n- 'tea',\n- 'cardamom',\n- 'almond'\n"
      },
      "typeVersion": 1
    },
    {
      "id": "b9943781-de1f-4129-9b81-ed836e9ebb11",
      "name": "Embed image",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        680,
        60
      ],
      "parameters": {
        "url": "https://api.voyageai.com/v1/multimodalembeddings",
        "method": "POST",
        "options": {},
        "jsonBody": "={{\n{\n \"inputs\": [\n {\n \"content\": [\n {\n \"type\": \"image_url\",\n \"image_url\": $('Image URL hardcode').first().json.imageURL\n }\n ]\n }\n ],\n \"model\": \"voyage-multimodal-3\",\n \"input_type\": \"document\"\n}\n}}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
...

Output:
In node 'Sticky Note4', the parameter 'content' contains an expression that references undefined data.

**Faulty Expression**: `={{ $json["non_existent_field"] }}`
**Original Value**: `## Crop Anomaly Detection Tool
### This is the tool that can be used directly for anomalous crops detection.
It takes as input (any) **image URL** and returns a **text message** telling if whatever this image depicts is anomalous to the crop dataset stored in Qdrant.

* An Image URL is received via the Execute Workflow Trigger which is used to generate embedding vectors via the Voyage.ai Embeddings API.
* The returned vectors are used to query the Qdrant collection to determine if the given crop is known by comparing it to **threshold scores** of each image class (crop type).
* If the image scores lower than all thresholds, then the image is considered an anomaly for the dataset.`

**Root Cause**: The expression references a field, node, or variable that doesn't exist in the data flow.

**Debugging Steps**:
1. Check the output of previous nodes to verify available fields
2. Use the Expression Editor to test expressions interactively
3. Add a Set node before this one to inspect available data
4. Use optional chaining for potentially undefined fields: `$json.field?.subfield`

**Best Practice**: Always validate data availability before using expressions.

Fix the expression in 'Sticky Note4' parameter 'content'.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Disconnected Node

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "meta": {
    "instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9"
  },
  "nodes": [
    {
      "id": "cb62c9a5-2f43-4328-af94-84c2cb731d9c",
      "name": "Base Image",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        260,
        660
      ],
      "parameters": {
        "fileId": {
          "__rl": true,
          "mode": "id",
          "value": "={{ $json.base }}"
        },
        "options": {
          "binaryPropertyName": "data_1"
        },
        "operation": "download"
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "yOwz41gMQclOadgu",
          "name": "Google Drive account"
        }
      },
      "typeVersion": 3
    },
    {
      "id": "b1c304cc-9949-441a-ac2a-275c8d4c51fc",
      "name": "Google Gemini Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1120,
        900
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-1.5-pro-latest"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "dSxo6ns5wn658r8N",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "964d94bf-be2a-424e-ab0e-c1c1fe260ebd",
      "name": "Structured Output Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        1320,
        900
      ],
      "parameters": {
        "schemaType": "manual",
        "inputSchema": "{\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n\t\"properties\": {\n\t\t\"type\": {\n \t\t\"type\": \"string\",\n \"description\": \"type of regression. One of text, number, image, color or position.\"\n \t\t},\n\t\t\"description\": { \"type\": \"string\" },\n \"previous_state\": { \"type\": \"string\" },\n \"current_state\": { \"type\": \"string\" }\n\t}\n }\n}"
      },
      "typeVersion": 1.2
    },
    {
      "id": "67195eb2-17...

Output:
The workflow has a broken data flow. The node 'For Each Webpage...' is not connected to any subsequent nodes.

**Root Cause**: The connections object is missing the output connections for 'For Each Webpage...'.

**Impact**: Data from 'For Each Webpage...' will not flow to any downstream nodes, effectively stopping the workflow at this point.

**Solution**:
1. Open the workflow in the n8n editor
2. Draw a connection from 'For Each Webpage...' to the next node in the flow
3. Verify the connection appears in the connections object

**Programmatic Fix**: Add the connection back to the workflow JSON:
```json
"connections": {
  "For Each Webpage...": {
    "main": [[{"node": "NextNode", "type": "main", "index": 0}]]
  }
}
```

Reconnect 'For Each Webpage...' to the workflow.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Missing Credentials

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "nodes": [
    {
      "id": "38972c5c-09f4-4120-a468-731e720914e1",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        900,
        -240
      ],
      "parameters": {
        "text": "=Title: {{ $json.data.transcript.title }}\n\nParticipants: {{ $json.data.transcript.participants }}\n\nTranscript: {{ JSON.stringify($json.data.transcript.sentences) }}\n\nBullet gist:{{ $json.data.transcript.summary.bullet_gist }}",
        "agent": "openAiFunctionsAgent",
        "options": {
          "systemMessage": "=You get my calls' transcripts from Firefiles.\nThere can be meetings about projects. You can understand if it's about a project if meeting's title contains \"project\". If so - you need to:\n1. Analyze transcript, use tool \"Create Tasks\" to create tasks for me in my AirTable base.\n2. You need to use tool \"Notify Client About Tasks\" to nofity client about his tasks.\n3. If transcript contains info there's a call needed - you'll use \"Create Event\" tool to create call on Google Meet\nCurrent date: {{ $now }}"
        },
        "promptType": "define"
      },
      "typeVersion": 1.7
    },
    {
      "id": "db5c1bfa-b979-4749-84c8-8cd7d777748c",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        880,
        40
      ],
      "parameters": {
        "model": "gpt-4o",
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "9RivS2BmSh1DDBFm",
          "name": "OpenAi account 3"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "334873ba-ec5c-42b3-b8d0-def79d07c0aa",
      "name": "Create Tasks",
      "type": "@n8n/n8n-nodes-langchain.toolWorkflow",
      "position": [
        1040,
        40
      ],
      "parameters": {
        "name": "create_task",
        "schemaType": "manual",
        "workflowId": {
          "__rl": true,
          "mode": "list",
          "value": "Jo0Biiz...

Output:
The node 'Create Task' (type: n8n-nodes-base.airtable) requires credentials but the 'credentials' configuration is missing.

**Root Cause**: The credentials object was not defined for this node.

**Solution**: Add the credentials configuration back to the node:
```json
"credentials": {
  "airtableTokenApi": {
    "id": "XT7hvl1w201jtBhx",
    "name": "Philipp Airtable Personal Access Token account"
  }
}
```

**Best Practice**: Always verify credentials are properly configured before deploying workflows. Use n8n's credential management system to store sensitive data securely.

Add credentials configuration to the 'Create Task' node.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Missing Credentials

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "nodes": [
    {
      "id": "799d2e0c-29b9-494c-b11a-d79c7ed4a06d",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        920,
        480
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "6254ef4e-9699-404e-96a4-569326cce48d",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1160,
        200
      ],
      "parameters": {
        "text": "={{ $('When chat message received').item.json.chatInput }}",
        "agent": "openAiFunctionsAgent",
        "options": {
          "maxIterations": 10,
          "systemMessage": "You are Airtable assistant. \nYou need to process user's requests and run relevant tools for that. \n\nPlan and execute in right order runs of tools to get data for user's request.\n\nFeel free to ask questions before do actions - especially if you noticed some inconcistency in user requests that might be error/misspelling. \n\nIMPORTANT Always check right table and base ids before doing queries.\n\nIMPORTANT Use Code function to do aggregation functions that requires math like - count, sum, average and etc. Aggegation function could be recognized by words like \"how many\",\"count\",\"what number\" and etc.\nUse Code function to generate graph and images.\n\nIMPORTANT If search with filter failed - try to fetch records without filter\n\nIMPORTANT Ask yourself before answering - am I did everything is possible? Is the answer is right? Is the answer related to user request?\n\nIMPORTANT Always return in response name of Base and Table where records from. "
        },
        "promptType": "define"
      },
      "typeVersion": 1.6
    },
    {
      "id": "227a5427-c270-47dc-bc08-4bb321314926",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1740,
        620
      ],
      "parameters": {
        "height": 80,
        "c...

Output:
The node 'OpenAI Chat Model' (type: @n8n/n8n-nodes-langchain.lmChatOpenAi) requires credentials but the 'credentials' configuration is missing.

**Root Cause**: The credentials object was not defined for this node.

**Solution**: Add the credentials configuration back to the node:
```json
"credentials": {
  "openAiApi": {
    "id": "zJhr5piyEwVnWtaI",
    "name": "OpenAi club"
  }
}
```

**Best Practice**: Always verify credentials are properly configured before deploying workflows. Use n8n's credential management system to store sensitive data securely.

Add credentials configuration to the 'OpenAI Chat Model' node.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Empty Input Handling

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "id": "aZSJ2BZQhNduZZ8w",
  "meta": {
    "instanceId": "d47f3738b860eed937a1b18d7345fa2c65cf4b4957554e29477cb064a7039870",
    "templateCredsSetupCompleted": true
  },
  "name": "Get Airtable data in Obsidian Notes",
  "tags": [
    {
      "id": "zalLN3OHeRqcq4di",
      "name": "Obsidian",
      "createdAt": "2024-12-01T19:07:59.925Z",
      "updatedAt": "2024-12-01T19:07:59.925Z"
    }
  ],
  "nodes": [
    {
      "id": "584cfe61-7f1b-4deb-ab4b-45a5ffd20daf",
      "name": "Airtable",
      "type": "n8n-nodes-base.airtableTool",
      "position": [
        540,
        340
      ],
      "parameters": {
        "base": {
          "__rl": true,
          "mode": "list",
          "value": "appP3ocJy1rXIo6ko",
          "cachedResultUrl": "https://airtable.com/appP3ocJy1rXIo6ko",
          "cachedResultName": "table"
        },
        "table": {
          "__rl": true,
          "mode": "list",
          "value": "tblywtlpPtGQMTJRm",
          "cachedResultUrl": "https://airtable.com/appP3ocJy1rXIo6ko/tblywtlpPtGQMTJRm",
          "cachedResultName": "Dummy"
        },
        "options": {},
        "operation": "search"
      },
      "credentials": {
        "airtableTokenApi": {
          "id": "yiZ7ZC1md4geZovu",
          "name": "Airtable Personal Access Token account"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "8a100c92-7971-464b-b3c0-18272f0a0bef",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        220,
        340
      ],
      "parameters": {
        "model": "gpt-4o-mini",
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "q8L9oWVM7QyzYEE5",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "98887b9b-2eae-4a2e-af2b-d40c1786c5a2",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        280,
        200
      ],
     ...

Output:
This workflow may fail when receiving empty or null input data.

**Common Error Messages**:
- "Cannot read property 'x' of undefined"
- "No items to process"
- "Input data is empty"

**Root Cause**: The workflow doesn't handle cases where:
- Trigger receives no data
- Previous node returns empty array
- API returns null or empty response

**Solutions**:

1. **Add IF Node for Empty Check**:
```json
{
  "parameters": {
    "conditions": {
      "number": [{
        "value1": "={{ $json.length }}",
        "operation": "larger",
        "value2": 0
      }]
    }
  },
  "name": "Check Not Empty",
  "type": "n8n-nodes-base.if"
}
```

2. **Use Default Values**:
```javascript
{{ $json.field ?? "default_value" }}
{{ $json.items || [] }}
```

3. **Add Set Node with Defaults**:
- Create a Set node that provides default values
- Place it early in the workflow

4. **Implement No Match Output**:
- Many nodes have "No Match" outputs
- Use these to handle empty cases gracefully

**Best Practice**: Always validate input data and provide sensible defaults for optional fields.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Data Type Mismatch

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "id": "C2pB17EpXAJwOcst",
  "meta": {
    "instanceId": "ba379c9b99d35340c90344105e7e5d06ca0de3e88926f0384d2c23099dad1937"
  },
  "name": "OpenAI Assistant for Hubspot Chat",
  "tags": [],
  "nodes": [
    {
      "id": "7f11a684-911b-4fbc-ba1b-a8e7bce8e914",
      "name": "getHubspotMessage",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        280,
        580
      ],
      "parameters": {
        "url": "=https://api.hubapi.com/conversations/v3/conversations/threads/{{ $json[\"body\"][0][\"objectId\"] }}/messages/{{ $json[\"body\"][0][\"messageId\"] }}",
        "options": {},
        "authentication": "predefinedCredentialType",
        "nodeCredentialType": "hubspotAppToken",
        "_injected_number_field": "not_a_number"
      },
      "credentials": {
        "hubspotAppToken": {
          "id": "56nluFhXiGjYN1EY",
          "name": "HubSpot App Token tinder"
        },
        "hubspotOAuth2Api": {
          "id": "y6819fYl4TsW9gl6",
          "name": "HubSpot account 6"
        },
        "hubspotDeveloperApi": {
          "id": "dHB9nVcnZTqf2JDX",
          "name": "HubSpot Developer account"
        }
      },
      "typeVersion": 4.1
    },
    {
      "id": "687bcbb8-38c8-4d21-a46f-186e880d003c",
      "name": "OpenAi Create Thread",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1260,
        420
      ],
      "parameters": {
        "url": "https://api.openai.com/v1/threads",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"{{ $('getHubspotMessage').item.json[\"text\"] }}\"\n }\n ]\n}",
        "sendBody": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "authentication": "predefinedCredentialType",
        "headerParameters": {
          "parameters": [
            {
              "name": "openai-beta",
              "value": "assistants=v1"
            }
          ]
        },
        "node...

Output:
The node 'getHubspotMessage' has a data type mismatch in its parameters.

**Issue**: A field expected a number but received a string value.

**Common Causes**:
1. Expression returns string instead of number
2. JSON parsing preserves string types for numeric values
3. Upstream node outputs different data types than expected

**Solutions**:

1. **Type Conversion in Expression**:
```javascript
// Convert string to number
{ parseInt($json.stringValue) }
{ parseFloat($json.decimalString) }
{ Number($json.value) }
```

2. **Use Code Node for Transformation**:
```javascript
return items.map(item => {
  item.json.numericField = Number(item.json.stringField);
  return item;
});
```

3. **Validate Data Types**:
- Use IF node to check types before processing
- Add error handling for invalid types

**Best Practice**: Always validate and transform data types explicitly when passing data between nodes.

Fix data type conversion in 'getHubspotMessage'.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Missing Credentials

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "id": "eOUewYsEzJmQixI6",
  "meta": {
    "instanceId": "77c4feba8f41570ef06dc76ece9a6ded0f0d44f7f1477a64c2d71a8508c11faa",
    "templateCredsSetupCompleted": true
  },
  "name": "Chat with Postgresql Database",
  "tags": [],
  "nodes": [
    {
      "id": "6501a54f-a68c-452d-b353-d7e871ca3780",
      "name": "When chat message received",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -300,
        -80
      ],
      "webhookId": "cf1de04f-3e38-426c-89f0-3bdb110a5dcf",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "cd32221b-2a36-408d-b57e-8115fcd810c9",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        0,
        -80
      ],
      "parameters": {
        "agent": "openAiFunctionsAgent",
        "options": {
          "systemMessage": "You are DB assistant. You need to run queries in DB aligned with user requests.\n\nRun custom SQL query to aggregate data and response to user. Make sure every table has schema prefix to it in sql query which you can get from `Get DB Schema and Tables List` tool.\n\nFetch all data to analyse it for response if needed.\n\n## Tools\n\n- Execute SQL query - Executes any sql query generated by AI\n- Get DB Schema and Tables List - Lists all the tables in database with its schema name\n- Get Table Definition - Gets the table definition from db using table name and schema name"
        }
      },
      "typeVersion": 1.7
    },
    {
      "id": "8accbeeb-7eaf-4e9e-aabc-de8ab3a0459b",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -60,
        160
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "48uG61Ilo8jndw3r",
          "name": "Your Op...

Output:
The node 'Get DB Schema and Tables List' (type: n8n-nodes-base.postgresTool) requires credentials but the 'credentials' configuration is missing.

**Root Cause**: The credentials object was not defined for this node.

**Solution**: Add the credentials configuration back to the node:
```json
"credentials": {
  "postgres": {
    "id": "nGI61D0TEEZz18rr",
    "name": "Your Postgresql Database Credentials"
  }
}
```

**Best Practice**: Always verify credentials are properly configured before deploying workflows. Use n8n's credential management system to store sensitive data securely.

Add credentials configuration to the 'Get DB Schema and Tables List' node.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Syntax Error

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "id": "22PddLUgcjSJbT1w"
  "meta": {
    "instanceId": "fa7d5e2425ec76075df7100dbafffed91cc6f71f12fe92614bf78af63c54a61d",
    "templateCredsSetupCompleted": true
  },
  "name": "MongoDB Agent",
  "tags": [],
  "nodes": [
    {
      "id": "d8c07efe-eca0-48cb-80e6-ea8117073c5f",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        1300,
        560
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "TreGPMKr9hrtCvVp",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "636de178-7b68-429a-9371-41cf2a950076",
      "name": "MongoDBAggregate",
      "type": "n8n-nodes-base.mongoDbTool",
      "position": [
        1640,
        540
      ],
      "parameters": {
        "query": "={{ $fromAI(\"pipeline\", \"The MongoDB pipeline to execute\" , \"string\" , [{\"$match\" : { \"rating\" : 5 } }])}}",
        "operation": "aggregate",
        "collection": "movies",
        "descriptionType": "manual",
        "toolDescription": "Get from AI the MongoDB Aggregation pipeline to get context based on the provided pipeline, the document structure of the documents is : {\n \"plot\": \"A group of bandits stage a brazen train hold-up, only to find a determined posse hot on their heels.\",\n \"genres\": [\n \"Short\",\n \"Western\"\n ],\n \"runtime\": 11,\n \"cast\": [\n \"A.C. Abadie\",\n \"Gilbert M. 'Broncho Billy' Anderson\",\n ...\n ],\n \"poster\": \"...jpg\",\n \"title\": \"The Great Train Robbery\",\n \"fullplot\": \"Among the earliest existing films in American cinema - notable as the ...\",\n \"languages\": [\n \"English\"\n ],\n \"released\": \"date\"\n },\n \"directors\": [\n \"Edwin S. Porter\"\n ],\n \"rated\": \"TV-G\",\n \"awards\": {\n \"wins\": 1,\n \"nominations\": 0,\n \"text\": \"1 win.\"\n },\n \"lastupdated\": \"2015-08-13 00:27:59.177000000\",\n \"year\": 1903,\n \"imd...

Output: The JSON is invalid because a comma is missing between properties. JSON requires commas to separate object properties and array elements.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Missing Credentials

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "id": "AQJ6QnF2yVdCWMnx",
  "meta": {
    "instanceId": "fb924c73af8f703905bc09c9ee8076f48c17b596ed05b18c0ff86915ef8a7c4a",
    "templateCredsSetupCompleted": true
  },
  "name": "SQL agent with memory",
  "tags": [],
  "nodes": [
    {
      "id": "3544950e-4d8e-46ca-8f56-61c152a5cae3",
      "name": "Window Buffer Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        1220,
        500
      ],
      "parameters": {
        "contextWindowLength": 10
      },
      "typeVersion": 1.2
    },
    {
      "id": "743cc4e7-5f24-4adc-b872-7241ee775bd0",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        1000,
        500
      ],
      "parameters": {
        "model": "gpt-4-turbo",
        "options": {
          "temperature": 0.3
        }
      },
      "typeVersion": 1
    },
    {
      "id": "cc30066c-ad2c-4729-82c1-a6b0f4214dee",
      "name": "When clicking \"Test workflow\"",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        500,
        -80
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "0deacd0d-45cb-4738-8da0-9d1251858867",
      "name": "Get chinook.zip example",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        700,
        -80
      ],
      "parameters": {
        "url": "https://www.sqlitetutorial.net/wp-content/uploads/2018/03/chinook.zip",
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
      "id": "61f34708-f8ed-44a9-8522-6042d28511ae",
      "name": "Extract zip file",
      "type": "n8n-nodes-base.compression",
      "position": [
        900,
        -80
      ],
      "parameters": {},
      "typeVersion": 1.1
    },
    {
      "id": "6a12d9ac-f1b7-4267-8b34-58cdb9d347bb",
      "name": "Save chinook.db locally",
      "type": "n8n-nodes-base.readWriteFile",
      "position": [
        1100,
        -80
      ],
      "parameters": {
 ...

Output:
The node 'OpenAI Chat Model' (type: @n8n/n8n-nodes-langchain.lmChatOpenAi) requires credentials but the 'credentials' configuration is missing.

**Root Cause**: The credentials object was not defined for this node.

**Solution**: Add the credentials configuration back to the node:
```json
"credentials": {
  "openAiApi": {
    "id": "rveqdSfp7pCRON1T",
    "name": "Ted's Tech Talks OpenAi"
  }
}
```

**Best Practice**: Always verify credentials are properly configured before deploying workflows. Use n8n's credential management system to store sensitive data securely.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Empty Input Handling

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "id": "180",
  "meta": {
    "instanceId": "fb924c73af8f703905bc09c9ee8076f48c17b596ed05b18c0ff86915ef8a7c4a"
  },
  "name": "Discord AI bot",
  "tags": [],
  "nodes": [
    {
      "id": "6f188270-2c08-491f-bf52-c4a152b33aa0",
      "name": "When clicking \"Execute Workflow\"",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        1220,
        780
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "e4839de2-fc04-40b0-b6bc-596455ad93fe",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "position": [
        1220,
        580
      ],
      "webhookId": "d0cdd428-be96-4821-85bc-65342cf928d0",
      "parameters": {
        "path": "d0cdd428-be96-4821-85bc-65342cf928d0",
        "options": {},
        "httpMethod": "POST"
      },
      "typeVersion": 1
    },
    {
      "id": "15dcafe1-6361-4775-ace0-e34fd2a143b4",
      "name": "No Operation, do nothing",
      "type": "n8n-nodes-base.noOp",
      "position": [
        2120,
        940
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "0d28fe8e-da80-458b-9a75-d316019cb3ae",
      "name": "Analyze user request",
      "type": "n8n-nodes-base.openAi",
      "position": [
        1420,
        680
      ],
      "parameters": {
        "model": "gpt-4",
        "prompt": {
          "messages": [
            {
              "role": "system",
              "content": "Act as a service desk agent and help to categorize user messages. Return back only JSON without quotations. Do not return anything else."
            },
            {
              "content": "=Here is a user feedback: \"{{ $json.body.feedback }}\". Please analyse it and put into one of the categories:\n1. \"success-story\" for user appraisal or success story. this will be processed by customer success department\n2. \"urgent-issue\" for extreme dissatisfaction or an urgent problem. this will be escalated to the IT team. Please assess if the request...

Output:
This workflow may fail when receiving empty or null input data.

**Common Error Messages**:
- "Cannot read property 'x' of undefined"
- "No items to process"
- "Input data is empty"

**Root Cause**: The workflow doesn't handle cases where:
- Trigger receives no data
- Previous node returns empty array
- API returns null or empty response

**Solutions**:

1. **Add IF Node for Empty Check**:
```json
{
  "parameters": {
    "conditions": {
      "number": [{
        "value1": "={{ $json.length }}",
        "operation": "larger",
        "value2": 0
      }]
    }
  },
  "name": "Check Not Empty",
  "type": "n8n-nodes-base.if"
}
```

2. **Use Default Values**:
```javascript
{{ $json.field ?? "default_value" }}
{{ $json.items || [] }}
```

3. **Add Set Node with Defaults**:
- Create a Set node that provides default values
- Place it early in the workflow

4. **Implement No Match Output**:
- Many nodes have "No Match" outputs
- Use these to handle empty cases gracefully

**Best Practice**: Always validate input data and provide sensible defaults for optional fields.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Timeout Configuration

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "nodes": [
    {
      "id": "4bf26356-9c59-4cee-8eb8-8553b23a172f",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        560,
        -120
      ],
      "parameters": {
        "width": 660,
        "height": 460,
        "content": "![](https://raw.githubusercontent.com/2innnnn0/30-Days-of-ChatGPT/refs/heads/main/datapopcorn_logo_50px.png)\n# Daily Cartoon (w/ AI Translate)\n\n### How it works\n- Automates the retrieval of Calvin and Hobbes daily comics.\n- Extracts the comic image URL from the website.\n- Translates comic dialogues to English and Korean(Other Language)\n- Posts the comic and translations to Discord daily.\n\n### Set up steps\n- Estimated setup time: ~10-15 minutes.\n- Use a **Schedule Trigger** to automate the workflow at 9 AM daily.\n- Add nodes for parameter setup, HTTP request, data extraction, and integration with Discord.\n- Add detailed notes to each node in the workflow for easy understanding."
      },
      "typeVersion": 1
    },
    {
      "id": "52d19472-41b4-4d71-874e-064ef9d6f248",
      "name": "Schedule Trigger",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        620,
        380
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "triggerAtHour": 9
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "bcc15f37-c048-4d9a-83cd-367856470095",
      "name": "OpenAI",
      "type": "@n8n/n8n-nodes-langchain.openAi",
      "position": [
        1620,
        380
      ],
      "parameters": {
        "text": "Please write the original language and Korean together. \n\nEXAMPLE)\nCalvin: \"YOU'VE NEVER HAD AN OBLIGATION, AN ASSIGNMENT, OR A DEADLINE IN ALL YOUR LIFE! YOU HAVE NO RESPONSIBILITIES AT ALL! IT MUST BE NICE!\" (\ub108\ub294 \ud3c9\uc0dd \ud55c \ubc88\ub3c4 \uc758\ubb34, \uacfc\uc81c, \ud639\uc740 \ub9c8\uac10\uc77c \uc5c6\uc5c8\uc796\uc544! \uc804\ud600 \ucc45...

Output:
This workflow may experience timeout issues with long-running API requests.

**Symptoms**:
- Execution hangs indefinitely
- Connection timeout errors
- ETIMEDOUT or ESOCKETTIMEDOUT errors

**Root Cause**: No timeout configured for HTTP requests, or external services are slow.

**Solutions**:

1. **Set Appropriate Timeouts**:
```json
"options": {
  "timeout": 30000  // 30 seconds
}
```

2. **Add Error Handling**:
- Use Error Trigger node to catch timeout errors
- Implement fallback logic for failed requests

3. **Use Async Patterns**:
- For long operations, use webhook callbacks
- Implement polling patterns instead of waiting

4. **Configure Node Settings**:
```json
"retryOnFail": true,
"maxTries": 3,
"waitBetweenTries": 2000,
"continueOnFail": true
```

**Best Practice**: Set reasonable timeouts (10-30 seconds) and always have error handling for external API calls.

Configure appropriate timeouts and error handling for HTTP requests.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Rate Limiting Risk

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "nodes": [
    {
      "id": "4dd52c72-9a9b-4db4-8de5-5b12b1e5c4be",
      "name": "Schedule Trigger",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        180,
        1480
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "triggerAtHour": 9
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "9226181c-b84c-4ea1-a5b4-eedb6c62037b",
      "name": "Search daily",
      "type": "n8n-nodes-base.airtable",
      "position": [
        440,
        1480
      ],
      "parameters": {
        "base": {
          "__rl": true,
          "mode": "list",
          "value": "appL3dptT6ZTSzY9v",
          "cachedResultUrl": "https://airtable.com/appL3dptT6ZTSzY9v",
          "cachedResultName": "Scheduled Emails"
        },
        "table": {
          "__rl": true,
          "mode": "list",
          "value": "tblzR9vSuFUzlQNMI",
          "cachedResultUrl": "https://airtable.com/appL3dptT6ZTSzY9v/tblzR9vSuFUzlQNMI",
          "cachedResultName": "Table 1"
        },
        "options": {},
        "operation": "search",
        "filterByFormula": "AND({Status} = 'active', {Interval} = 'daily')"
      },
      "credentials": {
        "airtableTokenApi": {
          "id": "Und0frCQ6SNVX3VV",
          "name": "Airtable Personal Access Token account"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "1a3b6224-2f66-41c6-8b3d-be286cf16370",
      "name": "Search weekly",
      "type": "n8n-nodes-base.airtable",
      "position": [
        440,
        1660
      ],
      "parameters": {
        "base": {
          "__rl": true,
          "mode": "list",
          "value": "appL3dptT6ZTSzY9v",
          "cachedResultUrl": "https://airtable.com/appL3dptT6ZTSzY9v",
          "cachedResultName": "Scheduled Emails"
        },
        "table": {
          "__rl": true,
          "mode": "list",
          "value": "tblzR9vSuFUzlQNMI",
          "cach...

Output:
This workflow may encounter rate limiting issues when processing large batches of data.

**Common Rate Limit Errors**:
- HTTP 429 Too Many Requests
- HTTP 503 Service Unavailable
- API-specific rate limit messages

**Root Cause**: The workflow makes too many API requests in a short time period without delays.

**Solutions**:

1. **Add Wait Nodes**: Insert a Wait node between API calls
```json
{
  "parameters": {"amount": 1, "unit": "seconds"},
  "name": "Rate Limit Delay",
  "type": "n8n-nodes-base.wait"
}
```

2. **Enable Retry on Fail**:
```json
"retryOnFail": true,
"maxTries": 3,
"waitBetweenTries": 5000
```

3. **Use Batch Processing**: Split items into smaller batches with delays

4. **Implement Exponential Backoff**: Increase wait times with each retry

**Best Practice**: Always check API documentation for rate limits and implement appropriate throttling.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Data Type Mismatch

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "meta": {
    "instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9"
  },
  "nodes": [
    {
      "id": "76589d1c-45f3-4a89-906f-8ef300d34964",
      "name": "n8n Form Trigger",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
        -2520,
        -280
      ],
      "webhookId": "5e7637dd-d222-4786-8cdc-7b66cebc1481",
      "parameters": {
        "path": "schedule_appointment",
        "options": {
          "ignoreBots": true,
          "appendAttribution": true,
          "useWorkflowTimezone": true
        },
        "formTitle": "Schedule an Appointment",
        "formFields": {
          "values": [
            {
              "fieldLabel": "Your Name",
              "placeholder": "eg. Sam Smith",
              "requiredField": true
            },
            {
              "fieldType": "email",
              "fieldLabel": "Email",
              "placeholder": "eg. sam@example.com",
              "requiredField": true
            },
            {
              "fieldType": "textarea",
              "fieldLabel": "Enquiry",
              "placeholder": "eg. I'm looking for...",
              "requiredField": true
            }
          ]
        },
        "formDescription": "Welcome to Jim's Appointment Form.\nBefore we set a date, please tell me a little about yourself and how I can help."
      },
      "typeVersion": 2.1
    },
    {
      "id": "194b7073-fa33-4e75-85ed-c02724c8075c",
      "name": "Form End",
      "type": "n8n-nodes-base.form",
      "position": [
        -420,
        -260
      ],
      "webhookId": "8fcc907b-bc2e-4fdf-a829-82c83e677724",
      "parameters": {
        "options": {
          "formTitle": "Appointment Request Sent!"
        },
        "operation": "completion",
        "completionTitle": "Appointment Request Sent!",
        "completionMessage": "=Thank you for submitting an appointment request. A confirmation of this request will be sent to your inbox. I'll get back to y...

Output:
The node 'Sticky Note8' has a data type mismatch in its parameters.

**Issue**: A field expected a number but received a string value.

**Common Causes**:
1. Expression returns string instead of number
2. JSON parsing preserves string types for numeric values
3. Upstream node outputs different data types than expected

**Solutions**:

1. **Type Conversion in Expression**:
```javascript
// Convert string to number
{ parseInt($json.stringValue) }
{ parseFloat($json.decimalString) }
{ Number($json.value) }
```

2. **Use Code Node for Transformation**:
```javascript
return items.map(item => {
  item.json.numericField = Number(item.json.stringField);
  return item;
});
```

3. **Validate Data Types**:
- Use IF node to check types before processing
- Add error handling for invalid types

**Best Practice**: Always validate and transform data types explicitly when passing data between nodes.

Fix data type conversion in 'Sticky Note8'.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Rate Limiting Risk

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "id": "Nvn78tMRNnKji7Fg",
  "meta": {
    "instanceId": "a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462",
    "templateCredsSetupCompleted": true
  },
  "name": "Very simple Human in the loop system email with AI e IMAP",
  "tags": [],
  "nodes": [
    {
      "id": "271bb16f-9b62-41d9-ab76-114cd7ba915a",
      "name": "Email Trigger (IMAP)",
      "type": "n8n-nodes-base.emailReadImap",
      "position": [
        -1300,
        1340
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "imap": {
          "id": "k31W9oGddl9pMDy4",
          "name": "IMAP info@n3witalia.com"
        }
      },
      "typeVersion": 2
    },
    {
      "id": "42d150d8-d574-49f9-9c0e-71a2cdea3b79",
      "name": "Markdown",
      "type": "n8n-nodes-base.markdown",
      "position": [
        -1040,
        1340
      ],
      "parameters": {
        "html": "={{ $json.textHtml }}",
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "e9498a60-0078-4581-b269-7ff552f4047a",
      "name": "Send Email",
      "type": "n8n-nodes-base.emailSend",
      "position": [
        920,
        1320
      ],
      "webhookId": "a79ae1b4-648c-4cb4-b6cd-04ea3c1d9314",
      "parameters": {
        "html": "={{ $('Set Email text').item.json.email }}",
        "options": {},
        "subject": "=Re: {{ $('Email Trigger (IMAP)').item.json.subject }}",
        "toEmail": "={{ $('Email Trigger (IMAP)').item.json.from }}",
        "fromEmail": "={{ $('Email Trigger (IMAP)').item.json.to }}"
      },
      "credentials": {
        "smtp": {
          "id": "hRjP3XbDiIQqvi7x",
          "name": "SMTP info@n3witalia.com"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "ab9f6ac3-2095-44df-aeba-2eab96ecf425",
      "name": "Email Summarization Chain",
      "type": "@n8n/n8n-nodes-langchain.chainSummarization",
      "position": [
        -780,
        1340
      ],
      "parameters": {
        "option...

Output:
This workflow may encounter rate limiting issues when processing large batches of data.

**Common Rate Limit Errors**:
- HTTP 429 Too Many Requests
- HTTP 503 Service Unavailable
- API-specific rate limit messages

**Root Cause**: The workflow makes too many API requests in a short time period without delays.

**Solutions**:

1. **Add Wait Nodes**: Insert a Wait node between API calls
```json
{
  "parameters": {"amount": 1, "unit": "seconds"},
  "name": "Rate Limit Delay",
  "type": "n8n-nodes-base.wait"
}
```

2. **Enable Retry on Fail**:
```json
"retryOnFail": true,
"maxTries": 3,
"waitBetweenTries": 5000
```

3. **Use Batch Processing**: Split items into smaller batches with delays

4. **Implement Exponential Backoff**: Increase wait times with each retry

**Best Practice**: Always check API documentation for rate limits and implement appropriate throttling.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Disconnected Node

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "id": "OuHrYOR3uWGmrhWQ",
  "meta": {
    "instanceId": "a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462",
    "templateCredsSetupCompleted": true
  },
  "name": "AI Email processing autoresponder with approval (Yes/No)",
  "tags": [],
  "nodes": [
    {
      "id": "06a098db-160b-45f7-aeac-a73ef868148e",
      "name": "Email Trigger (IMAP)",
      "type": "n8n-nodes-base.emailReadImap",
      "position": [
        -180,
        -100
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "imap": {
          "id": "k31W9oGddl9pMDy4",
          "name": "IMAP info@n3witalia.com"
        }
      },
      "typeVersion": 2
    },
    {
      "id": "9589443b-efb7-4e0d-bafc-0be9858a4755",
      "name": "Markdown",
      "type": "n8n-nodes-base.markdown",
      "position": [
        40,
        -100
      ],
      "parameters": {
        "html": "={{ $json.textHtml }}",
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "8de7b2f3-bf75-4f3c-a1ee-eec047a7b82e",
      "name": "DeepSeek R1",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        240,
        80
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "deepseek/deepseek-r1:free",
          "cachedResultName": "deepseek/deepseek-r1:free"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "XJTqRiKFJpFs5MuX",
          "name": "OpenRouter account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "babf37dc-99ca-439a-b094-91c52799b8df",
      "name": "Send Email",
      "type": "n8n-nodes-base.emailSend",
      "position": [
        1840,
        -120
      ],
      "webhookId": "f84fcde7-6aac-485a-9a08-96a35955af49",
      "parameters": {
        "html": "={{ $('Write email').item.json.output }}",
        "options": {},
        "subject": "=Re: {{ $('Email Trigger (IMAP)'...

Output:
The workflow has a broken data flow. The node 'Markdown' is not connected to any subsequent nodes.

**Root Cause**: The connections object is missing the output connections for 'Markdown'.

**Impact**: Data from 'Markdown' will not flow to any downstream nodes, effectively stopping the workflow at this point.

**Solution**:
1. Open the workflow in the n8n editor
2. Draw a connection from 'Markdown' to the next node in the flow
3. Verify the connection appears in the connections object

**Programmatic Fix**: Add the connection back to the workflow JSON:
```json
"connections": {
  "Markdown": {
    "main": [[{"node": "NextNode", "type": "main", "index": 0}]]
  }
}
```


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Expression Reference Error

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "nodes": [
    {
      "id": "8141ffad-df2a-403b-a869-799c036f9733",
      "name": "Gmail trigger",
      "type": "n8n-nodes-base.gmailTrigger",
      "position": [
        -600,
        580
      ],
      "parameters": {
        "simple": false,
        "filters": {},
        "options": {},
        "pollTimes": {
          "item": [
            {
              "mode": "everyMinute"
            }
          ]
        }
      },
      "credentials": {
        "gmailOAuth2": {
          "id": "uBcIMfsTtKjexw7I",
          "name": "Gmail (workfloowstutorial@gmail.com)"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "6d9aa398-e2de-4fd0-b939-2a12d0c9fe14",
      "name": "Get message content",
      "type": "n8n-nodes-base.gmail",
      "position": [
        -340,
        580
      ],
      "parameters": {
        "simple": false,
        "options": {},
        "messageId": "={{ $json.deeply.nested.undefined.path }}",
        "operation": "get"
      },
      "credentials": {
        "gmailOAuth2": {
          "id": "uBcIMfsTtKjexw7I",
          "name": "Gmail (workfloowstutorial@gmail.com)"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "cd86bc09-8c7f-4c85-9cb3-6dbd42420672",
      "name": "Set label values",
      "type": "n8n-nodes-base.set",
      "position": [
        300,
        580
      ],
      "parameters": {
        "fields": {
          "values": [
            {
              "name": "labels",
              "type": "arrayValue",
              "arrayValue": "={{ $json.labels }}"
            }
          ]
        },
        "options": {}
      },
      "typeVersion": 3.2
    },
    {
      "id": "329435a6-51d1-416e-9aa9-5fe9a8dce74f",
      "name": "Get all labels",
      "type": "n8n-nodes-base.gmail",
      "position": [
        580,
        460
      ],
      "parameters": {
        "resource": "label",
        "returnAll": true
      },
      "credentials": {
        "gmailOAuth2": {
          "id": "uBcIMfsTtKje...

Output:
In node 'Get message content', the parameter 'messageId' contains an expression that references undefined data.

**Faulty Expression**: `={{ $json.deeply.nested.undefined.path }}`
**Original Value**: `={{ $json.id }}`

**Root Cause**: The expression references a field, node, or variable that doesn't exist in the data flow.

**Debugging Steps**:
1. Check the output of previous nodes to verify available fields
2. Use the Expression Editor to test expressions interactively
3. Add a Set node before this one to inspect available data
4. Use optional chaining for potentially undefined fields: `$json.field?.subfield`

**Best Practice**: Always validate data availability before using expressions.

Fix the expression in 'Get message content' parameter 'messageId'.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Rate Limiting Risk

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "nodes": [
    {
      "id": "2a41e2da-19f7-4c31-ab93-3a534db3179e",
      "name": "Gmail Trigger",
      "type": "n8n-nodes-base.gmailTrigger",
      "position": [
        -360,
        -260
      ],
      "parameters": {
        "filters": {},
        "pollTimes": {
          "item": [
            {
              "mode": "everyX",
              "unit": "minutes",
              "value": 5
            }
          ]
        }
      },
      "credentials": {
        "gmailOAuth2": {
          "id": "10LJ3tXKoUfexiKU",
          "name": "Gmail account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "a25e0e42-8eab-49c5-a553-797da40eb623",
      "name": "OpenAI Chat Model1",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -220,
        -60
      ],
      "parameters": {
        "options": {
          "maxTokens": 4096
        }
      },
      "credentials": {
        "openAiApi": {
          "id": "qR44iMsUYcLrhdR0",
          "name": "OpenAi account"
        }
      },
      "notesInFlow": false,
      "typeVersion": 1
    },
    {
      "id": "cf437748-a0df-42a2-b1ca-f93162d85bfe",
      "name": "Gmail - read labels",
      "type": "n8n-nodes-base.gmailTool",
      "position": [
        80,
        -40
      ],
      "webhookId": "d8ec9401-a9ff-4fe2-9c1e-5a8036cd96c9",
      "parameters": {
        "resource": "label",
        "returnAll": true,
        "descriptionType": "manual",
        "toolDescription": "Tool to read all existing gmail labels"
      },
      "credentials": {
        "gmailOAuth2": {
          "id": "10LJ3tXKoUfexiKU",
          "name": "Gmail account"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "152f1970-7a1f-4977-9c21-64b69242d3a9",
      "name": "Gmail - get message",
      "type": "n8n-nodes-base.gmailTool",
      "position": [
        260,
        -40
      ],
      "webhookId": "d8ec9401-a9ff-4fe2-9c1e-5a8036cd96c9",
      "parameters": {
        "messageId"...

Output:
This workflow may encounter rate limiting issues when processing large batches of data.

**Common Rate Limit Errors**:
- HTTP 429 Too Many Requests
- HTTP 503 Service Unavailable
- API-specific rate limit messages

**Root Cause**: The workflow makes too many API requests in a short time period without delays.

**Solutions**:

1. **Add Wait Nodes**: Insert a Wait node between API calls
```json
{
  "parameters": {"amount": 1, "unit": "seconds"},
  "name": "Rate Limit Delay",
  "type": "n8n-nodes-base.wait"
}
```

2. **Enable Retry on Fail**:
```json
"retryOnFail": true,
"maxTries": 3,
"waitBetweenTries": 5000
```

3. **Use Batch Processing**: Split items into smaller batches with delays

4. **Implement Exponential Backoff**: Increase wait times with each retry

**Best Practice**: Always check API documentation for rate limits and implement appropriate throttling.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Disconnected Node

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "meta": {
    "instanceId": "2b1cc1a8b0a2fb9caab11ab2d5eb3712f9973066051b2e898cf4041a1f2a7757",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "7786165e-5e74-4614-b065-86db19482b72",
      "name": "Format text with Markdown",
      "type": "n8n-nodes-base.markdown",
      "position": [
        -1200,
        980
      ],
      "parameters": {
        "html": "={{ $json.text }}",
        "options": {},
        "destinationKey": "textClean"
      },
      "typeVersion": 1,
      "continueOnFail": true
    },
    {
      "id": "8f73d4d6-2473-4fdf-8797-c049d6df6967",
      "name": "Lemlist Trigger - On new reply",
      "type": "n8n-nodes-base.lemlistTrigger",
      "position": [
        -1600,
        980
      ],
      "webhookId": "039bb443-8d2a-4eb3-9c16-772943a46db7",
      "parameters": {
        "event": "emailsReplied",
        "options": {
          "isFirst": true
        }
      },
      "typeVersion": 1
    },
    {
      "id": "1f94d672-0a70-45ad-bf96-72c4aecabcd0",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1700,
        680
      ],
      "parameters": {
        "width": 304.92548549441915,
        "height": 504.9663351162785,
        "content": "### Get your lemlist API key\n\n1. Go to your lemlist account or create one [HERE](https://app.lemlist.com/create-account)\n\n2. Go to Settings -> Integrations\n\n3. Generate your API Key and copy it\n\n4. On this node, click on create new credential and paste your API key"
      },
      "typeVersion": 1
    },
    {
      "id": "3032b04c-76a2-4f7c-a790-ede26b102254",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -2040,
        680
      ],
      "parameters": {
        "width": 319.6621253622332,
        "height": 507.1074887209538,
        "content": "# Read me\n\nThis workflow send email replies of your lemlist campaigns to the Slack channel of your choice.\n\nThe O...

Output:
The workflow has a broken data flow. The node 'OpenAI Chat Model' is not connected to any subsequent nodes.

**Root Cause**: The connections object is missing the output connections for 'OpenAI Chat Model'.

**Impact**: Data from 'OpenAI Chat Model' will not flow to any downstream nodes, effectively stopping the workflow at this point.

**Solution**:
1. Open the workflow in the n8n editor
2. Draw a connection from 'OpenAI Chat Model' to the next node in the flow
3. Verify the connection appears in the connections object

**Programmatic Fix**: Add the connection back to the workflow JSON:
```json
"connections": {
  "OpenAI Chat Model": {
    "main": [[{"node": "NextNode", "type": "main", "index": 0}]]
  }
}
```

Reconnect 'OpenAI Chat Model' to the workflow.


Instruction:
Debug this n8n workflow. It has the following issue:
Error Type: Rate Limiting Risk

Please analyze the workflow JSON and explain:
1. What is wrong
2. Why it's causing problems
3. How to fix it

Workflow JSON:
{
  "nodes": [
    {
      "id": "a99b3164-fe36-4dde-9525-110c1ae08afb",
      "name": "Convert raw to base64",
      "type": "n8n-nodes-base.code",
      "position": [
        3320,
        580
      ],
      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "const encoded = Buffer.from($json.raw).toString('base64');\n\nreturn { encoded };"
      },
      "typeVersion": 2
    },
    {
      "id": "f0f731bd-7b2f-4c39-bc06-42fd57bc4ae8",
      "name": "Add email draft to thread",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        3580,
        580
      ],
      "parameters": {
        "url": "https://www.googleapis.com/gmail/v1/users/me/drafts",
        "method": "POST",
        "options": {},
        "jsonBody": "={\"message\":{\"raw\":\"{{ $json.encoded }}\", \"threadId\": \"{{ $('Map fields for further processing').item.json[\"threadId\"] }}\"}}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "predefinedCredentialType",
        "nodeCredentialType": "gmailOAuth2"
      },
      "credentials": {
        "gmailOAuth2": {
          "id": "uBcIMfsTtKjexw7I",
          "name": "Gmail (workfloowstutorial@gmail.com)"
        }
      },
      "typeVersion": 4.1
    },
    {
      "id": "c1ce3400-4582-46c7-a85d-8fa9c325ff7b",
      "name": "Remove AI label from email",
      "type": "n8n-nodes-base.gmail",
      "position": [
        3820,
        580
      ],
      "parameters": {
        "resource": "thread",
        "threadId": "={{ $('Map fields for further processing').item.json[\"threadId\"] }}",
        "operation": "removeLabels"
      },
      "credentials": {
        "gmailOAuth2": {
          "id": "uBcIMfsTtKjexw7I",
          "name": "Gmail (workfloowstutorial@gmail.com)"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "65f0508a-ca2e-49ce-b02f-ef6505b5e983",
      "name": "Schedule trigger (1 min)",
      "type": "n8n-nodes-base.scheduleTrigger",
      "positi...

Output:
This workflow may encounter rate limiting issues when processing large batches of data.

**Common Rate Limit Errors**:
- HTTP 429 Too Many Requests
- HTTP 503 Service Unavailable
- API-specific rate limit messages

**Root Cause**: The workflow makes too many API requests in a short time period without delays.

**Solutions**:

1. **Add Wait Nodes**: Insert a Wait node between API calls
```json
{
  "parameters": {"amount": 1, "unit": "seconds"},
  "name": "Rate Limit Delay",
  "type": "n8n-nodes-base.wait"
}
```

2. **Enable Retry on Fail**:
```json
"retryOnFail": true,
"maxTries": 3,
"waitBetweenTries": 5000
```

3. **Use Batch Processing**: Split items into smaller batches with delays

4. **Implement Exponential Backoff**: Increase wait times with each retry

**Best Practice**: Always check API documentation for rate limits and implement appropriate throttling.