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:
{
  "id": "O9FXr8iXzhSgYKaL",
  "meta": {
    "instanceId": "d8bbc8c5a59875a8be9f3c7142d858bc46c4b8e36a11781a25e945fcf9a5767a"
  },
  "name": "Post New YouTube Videos to X",
  "tags": [],
  "nodes": [
    {
      "id": "576be5c4-1ed0-4d01-a980-cb2fc31e2223",
      "name": "Post to X",
      "type": "n8n-nodes-base.twitter",
      "position": [
        1280,
        380
      ],
      "parameters": {
        "text": "={{ $json.message.content }}",
        "additionalFields": {}
      },
      "credentials": {
        "twitterOAuth2Api": {
          "id": "FjHOuF0APzoMqIjG",
          "name": "X account"
        }
      },
      "typeVersion": 2
    },
    {
      "id": "3b87cf2a-51d5-4589-9729-bb1fe3cfceca",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        620,
        254.76543209876536
      ],
      "parameters": {
        "color": 3,
        "width": 221.82716049382665,
        "height": 308.7901234567902,
        "content": "\ud83c\udd94 Ensure you enter your YouTube Channel ID in the \"Channel ID\" field of this node. You can find your [Channel ID here](https://youtube.com/account_advanced)."
      },
      "typeVersion": 1
    },
    {
      "id": "912e631c-aa43-4e02-9816-b35fe6e62dd8",
      "name": "Generate Post for X with ChatGPT",
      "type": "@n8n/n8n-nodes-langchain.openAi",
      "position": [
        900,
        380
      ],
      "parameters": {
        "modelId": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-3.5-turbo",
          "cachedResultName": "GPT-3.5-TURBO"
        },
        "options": {},
        "messages": {
          "values": [
            {
              "content": "=Write an engaging post about my latest YouTube video for X (Twitter) of no more than 140 characters in length. Link to the video at https://youtu.be/{{ $json.id.videoId }} use this title and description: {{ $json.snippet.title }} {{ $json.snippet.description }}"
            }
          ]
 ...

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.


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": "cb484ba7b742928a2048bf8829668bed5b5ad9787579adea888f05980292a4a7"
  },
  "nodes": [
    {
      "id": "d9bae984-2ce7-4f6b-ab53-527ac9dfea3d",
      "name": "When clicking \"Execute Workflow\"",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        680,
        320
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "32ecf73c-b6e9-4bd6-9ecc-d82c4c50d7b5",
      "name": "Reddit",
      "type": "n8n-nodes-base.reddit",
      "position": [
        880,
        320
      ],
      "parameters": {
        "keyword": "n8n",
        "location": "allReddit",
        "operation": "search",
        "additionalFields": {
          "sort": "new"
        }
      },
      "credentials": {},
      "typeVersion": 1
    },
    {
      "id": "4b560620-a101-4566-b066-4ce3f44d8b0c",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        120,
        180
      ],
      "parameters": {
        "width": 507.1052631578949,
        "height": 210.99380804953552,
        "content": "## What this workflow does\n\u2714\ufe0e 1) Get posts from reddit that might be about n8n\n - Filter for the most relevant posts (posted in last 7 days and more than 5 upvotes and is original content)\n\n\u2714\ufe0e 2) Check if the post is actually about n8n\n\n\u2714\ufe0e 3) if it is, categorise with OpenAi.\n"
      },
      "typeVersion": 1
    },
    {
      "id": "f3be9af5-b4ff-4f4e-a726-fc05fab94521",
      "name": "Set",
      "type": "n8n-nodes-base.set",
      "position": [
        1260,
        320
      ],
      "parameters": {
        "values": {
          "number": [
            {
              "name": "upvotes",
              "value": "={{ $json.ups }}"
            },
            {
              "name": "subredditSize",
              "value": "={{ $json.subreddit_subscribers }}"
            }
          ],
          "string": [
            {
              "name": "selftextTri...

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: 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:
{
  "nodes": [
    {
      "id": "a768bce6-ae26-464c-95fc-009edea4f94d",
      "name": "Set your company's variables",
      "type": "n8n-nodes-base.set",
      "position": [
        440,
        0
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "6a8063b6-1fd8-429a-9f13-b7512066c702",
              "name": "your_company_name",
              "type": "string",
              "value": "Pollup Data Services"
            },
            {
              "id": "3e6780d6-86d0-4353-aa17-8470a91f63a8",
              "name": "your_company_activity",
              "type": "string",
              "value": "Whether it\u2019s automating recurring tasks, analysing data faster, or personalising customer interactions, we build bespoke AI agents to help your workforce work smarter."
            },
            {
              "id": "1b42f1b3-20ed-4278-952d-f28fe0f03fa3",
              "name": "your_email",
              "type": "string",
              "value": "thomas@pollup.net"
            },
            {
              "id": "7c109ba2-d855-49d5-8700-624b01a05bc1",
              "name": "your_name",
              "type": "string",
              "value": "Justin"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "ca729f8d-cab8-4221-addb-aa23813d80b4",
      "name": "Get linkedin Posts",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1300,
        0
      ],
      "parameters": {
        "url": "https://fresh-linkedin-profile-data.p.rapidapi.com/get-profile-posts",
        "options": {},
        "sendQuery": true,
        "sendHeaders": true,
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "queryParameters": {
          "parameters": [
            {
              "name": "linkedin_url",
              "value": "={{ $('Google Sheets Trigger').item.json.linkedin_url }}"
      ...

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

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

**Impact**: Data from 'Google Sheets' 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 'Google Sheets' 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": {
  "Google Sheets": {
    "main": [[{"node": "NextNode", "type": "main", "index": 0}]]
  }
}
```

Reconnect 'Google Sheets' 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:
{
  "meta": {
    "instanceId": "26ba763460b97c249b82942b23b6384876dfeb9327513332e743c5f6219c2b8e"
  },
  "nodes": [
    {
      "id": "81ea4c6a-d603-4688-8b72-d9c79faf7adf",
      "name": "n8n Form Trigger",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
        1272,
        455
      ],
      "webhookId": "d280e773-3bd8-44ce-a147-8b404251fce9",
      "parameters": {
        "path": "d280e773-3bd8-44ce-a147-8b404251fce9",
        "options": {},
        "formTitle": "BannerBear Clone",
        "formFields": {
          "values": [
            {
              "fieldType": "dropdown",
              "fieldLabel": "Template",
              "fieldOptions": {
                "values": [
                  {
                    "option": "n8n Meetup Template"
                  },
                  {
                    "option": "AI Meetup Template"
                  }
                ]
              }
            },
            {
              "fieldType": "textarea",
              "fieldLabel": "Title of Event",
              "requiredField": true
            },
            {
              "fieldType": "textarea",
              "fieldLabel": "Location of Event",
              "requiredField": true
            },
            {
              "fieldType": "textarea",
              "fieldLabel": "Date of Event",
              "requiredField": true
            },
            {
              "fieldType": "textarea",
              "fieldLabel": "Image Prompt",
              "requiredField": true
            }
          ]
        },
        "formDescription": "Generate an image and apply text"
      },
      "typeVersion": 2
    },
    {
      "id": "dea26687-4060-488b-a09f-e21900fec2fc",
      "name": "Upload to Cloudinary",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1920,
        480
      ],
      "parameters": {
        "url": "https://api.cloudinary.com/v1_1/daglih2g8/image/upload",
        "method": "POST",
        "options": {...

Output:
The node 'Send to Bannerbear Template' (type: n8n-nodes-base.bannerbear) 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": {
  "bannerbearApi": {
    "id": "jXg71GVWN3F4PvI8",
    "name": "Bannerbear 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 'Send to Bannerbear Template' node.


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": "cb484ba7b742928a2048bf8829668bed5b5ad9787579adea888f05980292a4a7"
  },
  "nodes": [
    {
      "id": "ea9ddb4c-af49-480c-8b73-221b3741069d",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        920,
        400
      ],
      "parameters": {
        "width": 389,
        "height": 265,
        "content": "## Scheduled posting \nWrite a tweet every 6 hours and randomize the minutes that it's posted at to make it seem natural.\n"
      },
      "typeVersion": 1
    },
    {
      "id": "9650b047-7d5e-4ed2-948c-d5be77a94b5d",
      "name": "Post tweet",
      "type": "n8n-nodes-base.twitter",
      "position": [
        2940,
        520
      ],
      "parameters": {
        "text": "={{ $json.message.content.tweet }}",
        "additionalFields": {}
      },
      "credentials": {
        "twitterOAuth2Api": {
          "id": "b3qa9dBp2PxbufK3",
          "name": "X account"
        }
      },
      "typeVersion": 2
    },
    {
      "id": "fd7fc941-37de-4f88-87c0-f62ad1ebe2d6",
      "name": "Schedule posting every 6 hours",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        1140,
        500
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "hours",
              "hoursInterval": 6,
              "triggerAtMinute": "={{ Math.floor(Math.random() * 60) }}"
            }
          ]
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "107fd741-5c17-4cd6-98aa-088bf8df523d",
      "name": "Trigger posting manually",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        1140,
        820
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "831cd431-56e5-482e-a8a5-e5c5ac078ba4",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1360,
        400
      ],
      "parameters": {
        "width": ...

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: 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": [
    {
      "name": "On clicking 'execute'",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        250,
        300
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "name": "Start",
      "type": "n8n-nodes-base.start",
      "position": [
        250,
        300
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "name": "HTTP Request",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        450,
        300
      ],
      "parameters": {
        "url": "https://unsplash.com/photos/lUDMZUWFUXE/download?ixid=MnwxMjA3fDB8MXxhbGx8Mnx8fHx8fDJ8fDE2MzczMjY4Mjc&force=true",
        "options": {},
        "responseFormat": "file",
        "headerParametersUi": {
          "parameter": []
        }
      },
      "typeVersion": 1
    },
    {
      "name": "HTTP Request1",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        650,
        300
      ],
      "parameters": {
        "url": "https://api.twitter.com/1.1/account/update_profile_banner.json",
        "options": {},
        "requestMethod": "POST",
        "authentication": "oAuth1",
        "jsonParameters": true,
        "sendBinaryData": true,
        "binaryPropertyName": "banner:data"
      },
      "credentials": {
        "oAuth1Api": {
          "id": "300",
          "name": "Unnamed credential"
        }
      },
      "typeVersion": 1
    }
  ],
  "connections": {
    "HTTP Request": {
      "main": [
        [
          {
            "node": "HTTP Request1",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "On clicking 'execute'": {
      "main": [
        [
          {
            "node": "HTTP Request",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "name": "Update Twitter banner using HTTP request"
}...

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: 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": [
    {
      "name": "Typeform Trigger",
      "type": "n8n-nodes-base.typeformTrigger",
      "position": [
        0,
        400
      ],
      "webhookId": "ad8a87ef-d293-4e48-8d36-838d69ebce0f",
      "parameters": {
        "formId": "fBYjtY5e"
      },
      "credentials": {
        "typeformApi": ""
      },
      "typeVersion": 1
    },
    {
      "name": "Google Cloud Natural Language",
      "type": "n8n-nodes-base.googleCloudNaturalLanguage",
      "position": [
        200,
        400
      ],
      "parameters": {
        "content": "={{$json[\"Any suggestions for us? \"]}}",
        "options": {}
      },
      "credentials": {
        "googleCloudNaturalLanguageOAuth2Api": ""
      },
      "typeVersion": 1
    },
    {
      "name": "IF",
      "type": "n8n-nodes-base.if",
      "position": [
        400,
        400
      ],
      "parameters": {
        "conditions": {
          "number": [
            {
              "value1": "={{$node[\"Google Cloud Natural Language\"].json[\"documentSentiment\"][\"score\"]}}",
              "operation": "larger"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "name": "Notion",
      "type": "n8n-nodes-base.notion",
      "position": [
        600,
        300
      ],
      "parameters": {
        "resource": "databasePage",
        "databaseId": "b7d1130a-3756-4bb3-aa56-0c77bf416437",
        "propertiesUi": {
          "propertyValues": [
            {
              "key": "Name|title",
              "title": "={{$node[\"Typeform Trigger\"].json[\"Name\"]}}"
            },
            {
              "key": "Feedback|rich_text",
              "textContent": "={{$node[\"Typeform Trigger\"].json[\"Any suggestions for us? \"]}}"
            }
          ]
        }
      },
      "credentials": {
        "notionApi": ""
      },
      "typeVersion": 1
    },
    {
      "name": "Slack",
      "type": "n8n-nodes-base.slack",
      "position": [
        800,
 ...

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.


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:
{
  "id": "FU3MrLkaTHmfdG4n",
  "meta": {
    "instanceId": "3294023dd650d95df294922b9d55d174ef26f4a2e6cce97c8a4ab5f98f5b8c7b",
    "templateCredsSetupCompleted": true
  },
  "name": "Hugging Face to Notion",
  "tags": [],
  "nodes": [
    {
      "id": "32d5bfee-97f1-4e92-b62e-d09bdd9c3821",
      "name": "Schedule Trigger",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        -2640,
        -300
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "weeks",
              "triggerAtDay": [
                1,
                2,
                3,
                4,
                5
              ],
              "triggerAtHour": 8
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "b1f4078e-ac77-47ec-995c-f52fd98fafef",
      "name": "If",
      "type": "n8n-nodes-base.if",
      "position": [
        -1360,
        -280
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "7094d6db-1fa7-4b59-91cf-6bbd5b5f067e",
              "operator": {
                "type": "object",
                "operation": "empty",
                "singleValue": true
              },
              "leftValue": "={{ $json }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "afac08e1-b629-4467-86ef-907e4a5e8841",
      "name": "Loop Over Items",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        -1760,
        -300
      ],
      "parameters": {
        "options": {
          "reset": false
        }
      },
      "typeVersion": 3
    },
    {
      "id": "807ba450-9c89-4f88-aa84-91f43e3adf...

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.


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:
{
  "id": "mb2MU4xOaT3NrvqN",
  "meta": {
    "instanceId": "e7a28cc5c8c9de1976820e0f309940cf456344d9daf5360a4975186f3d8a107f",
    "templateCredsSetupCompleted": true
  },
  "name": "Automate LinkedIn Posts with AI",
  "tags": [],
  "nodes": [
    {
      "id": "7e8ec5cc-0216-4897-8a40-c44f9bbe5a9b",
      "name": "Schedule Trigger",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        580,
        540
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "triggerAtHour": 15
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "dbde804d-9c84-4023-9e05-7506cd38a460",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        760,
        225.26841303066982
      ],
      "parameters": {
        "color": 6,
        "width": 652.1201853643956,
        "height": 542.0867486896091,
        "content": "## Fetch the day's post from my Notion database\nA Notion _\"database\"_ is just a table on a Notion Page.\nThis table will have various rows, for which a minimum of three columns are required:\n- Name\n- Status\n- Date\n\nThe Date column is the most important, which will dictate when that row from your Notion table containing the text should be posted.\n\nNOTE: each post is required to have a copy and pasted image!"
      },
      "typeVersion": 1
    },
    {
      "id": "95205e81-e28d-48f9-b3fb-bcf361f7799e",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1520,
        220
      ],
      "parameters": {
        "width": 860.9829802912225,
        "height": 540.7357881640437,
        "content": "## Format Post\nSend the post to OpenAI, where it will attempt to ask your assistant how to take the incoming blob of text, and soup it up into something more palpable for LinkedIn engagement."
      },
      "typeVersion": 1
    },
    {
      "id": "4bc2a550-a8ad-4b25-ac53-0...

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.


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": "9052b5b2-1e2d-425c-92e5-1ed51323e71c",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        380,
        240
      ],
      "parameters": {
        "color": 7,
        "width": 616.7964812508943,
        "height": 231.27721611949534,
        "content": "={{ $env.UNDEFINED_ENV_VAR }}"
      },
      "typeVersion": 1
    },
    {
      "id": "b4a83f76-2bad-4bbe-9b7f-1df684166035",
      "name": "Notion",
      "type": "n8n-nodes-base.notion",
      "onError": "continueErrorOutput",
      "position": [
        1280,
        480
      ],
      "parameters": {
        "simple": false,
        "resource": "database",
        "databaseId": {
          "__rl": true,
          "mode": "url",
          "value": "={{ $json.chatInput.match(/https?:\\/\\/[^\\s/$.?#].[^\\s]*/g)[0] }}"
        }
      },
      "credentials": {
        "notionApi": {
          "id": "aDS2eHXMOtsMrQnJ",
          "name": "Nathan's notion account"
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "39537c95-5ca0-47a9-b2bf-2c0134d3f236",
      "name": "Return success to chat",
      "type": "n8n-nodes-base.set",
      "position": [
        3540,
        740
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "bebcb43c-461d-40d7-af83-436d94733622",
              "name": "output",
              "type": "string",
              "value": "=Created workflow:\n```\n{{ $json.generatedWorkflow }}\n```\n\n\u261d\ufe0f Copy and paste JSON above into an n8n workflow canvas (on v 1.52.0+)"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "5ae0fcfb-c3e2-443d-9a0c-25e7b17dc189",
      "name": "Auto-fixing Output Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
      "position": [
        2340,
        640
      ],
      "parameters": {},
      "typeVersion": 1
  ...

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

**Faulty Expression**: `={{ $env.UNDEFINED_ENV_VAR }}`
**Original Value**: `# Generate new workflow version for specific notion db schema
Input a Notion database URL and get an AI Assistant chatbot workflow for it based on this template: https://n8n.io/workflows/2413-notion-knowledge-base-ai-assistant/

Project in notion: https://www.notion.so/n8n/Chat-with-notion-database-84eec91b74dd4e36ba97edda17c2c306`

**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 Note' parameter 'content'.


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:
{
  "meta": {
    "instanceId": "205b3bc06c96f2dc835b4f00e1cbf9a937a74eeb3b47c99d0c30b0586dbf85aa"
  },
  "nodes": [
    {
      "id": "d1d4291e-fa37-43d0-81e0-f0a594371426",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        680,
        620
      ],
      "parameters": {
        "model": "={{ $env.UNDEFINED_ENV_VAR }}",
        "options": {
          "timeout": 25000,
          "temperature": 0.7
        }
      },
      "credentials": {
        "openAiApi": {
          "id": "AzPPV759YPBxJj3o",
          "name": "Max's DevRel OpenAI account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "68e6805b-9c19-4c9e-a300-8983f2b7c28a",
      "name": "Search notion database",
      "type": "@n8n/n8n-nodes-langchain.toolHttpRequest",
      "position": [
        980,
        620
      ],
      "parameters": {
        "url": "=https://api.notion.com/v1/databases/{{ $json.notionID }}/query",
        "method": "POST",
        "jsonBody": "{\n \"filter\": {\n \"or\": [\n {\n \"property\": \"question\",\n \"rich_text\": {\n \"contains\": \"{keyword}\"\n }\n },\n {\n \"property\": \"tags\",\n \"multi_select\": {\n \"contains\": \"{tag}\"\n }\n }\n ]\n },\n \"sorts\": [\n {\n \"property\": \"updated_at\",\n \"direction\": \"ascending\"\n }\n ]\n}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "predefinedCredentialType",
        "toolDescription": "=Use this tool to search the \"\" Notion app database.\n\nIt is structured with question and answer format. \nYou can filter query result by:\n- By keyword\n- filter by tag.\n\nKeyword and Tag have an OR relationship not AND.\n\n",
        "nodeCredentialType": "notionApi",
        "placeholderDefinitions": {
          "values": [
            {
              "name": "keyword",
              "description": "Searches question of the record. Use one keyword at a time."
            },
            {
              "name":...

Output:
In node 'OpenAI Chat Model', the parameter 'model' contains an expression that references undefined data.

**Faulty Expression**: `={{ $env.UNDEFINED_ENV_VAR }}`
**Original Value**: `gpt-4o`

**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 'OpenAI Chat Model' parameter 'model'.


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:
{
  "id": "vOSQYz747gtzj1zF",
  "meta": {
    "instanceId": "d16fb7d4b3eb9b9d4ad2ee6a7fbae593d73e9715e51f583c2a0e9acd1781c08e",
    "templateId": "2290"
  },
  "name": "Prod: Notion to Vector Store - Dimension 768",
  "tags": [
    {
      "id": "Vs70y1mj5s2XzUap",
      "name": "Production",
      "createdAt": "2024-12-24T14:42:00.549Z",
      "updatedAt": "2024-12-24T14:42:00.549Z"
    }
  ],
  "nodes": [
    {
      "id": "6d2579b8-376f-44c3-82e8-9dc608efd98b",
      "name": "Token Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter",
      "position": [
        2200,
        800
      ],
      "parameters": {
        "chunkSize": 256,
        "chunkOverlap": 30
      },
      "typeVersion": 1
    },
    {
      "id": "79b3c147-08ca-4db4-9116-958a868cbfd9",
      "name": "Notion - Page Added Trigger",
      "type": "n8n-nodes-base.notionTrigger",
      "position": [
        1080,
        360
      ],
      "parameters": {
        "simple": false,
        "pollTimes": {
          "item": [
            {
              "mode": "everyMinute"
            }
          ]
        },
        "databaseId": {
          "__rl": true,
          "mode": "list",
          "value": "17b11930-c10f-8000-a545-ece7cade03f9",
          "cachedResultUrl": "https://www.notion.so/17b11930c10f8000a545ece7cade03f9",
          "cachedResultName": "Embeddings"
        }
      },
      "credentials": {
        "notionApi": {
          "id": "oktwaKqpFztx5hYX",
          "name": "Auto: Notion"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "e4a6f524-e3f5-4d02-949a-8523f2d21965",
      "name": "Notion - Retrieve Page Content",
      "type": "n8n-nodes-base.notion",
      "position": [
        1300,
        360
      ],
      "parameters": {
        "blockId": {
          "__rl": true,
          "mode": "url",
          "value": "={{ $json.url }}"
        },
        "resource": "block",
        "operation": "getAll",
        "returnAll": true
      },...

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.


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": "DvP6IHWymTIVg8Up",
  "meta": {
    "instanceId": "b9faf72fe0d7c3be94b3ebff0778790b50b135c336412d28fd4fca2cbbf8d1f5",
    "templateCredsSetupCompleted": true
  },
  "name": "Store Notion's Pages as Vector Documents into Supabase with OpenAI",
  "tags": [],
  "nodes": [
    {
      "id": "495609cd-4ca0-426d-8413-69e771398188",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        480,
        400
      ],
      "parameters": {
        "width": 637.1327972412109,
        "height": 1113.7434387207031,
        "content": "## Store Notion's Pages as Vector Documents into Supabase\n\n**This workflow assumes you have a Supabase project with a table that has a vector column. If you don't have it, follow the instructions here:** [Supabase Vector Columns Guide](https://supabase.com/docs/guides/ai/vector-columns)\n\n## Workflow Description\n\nThis workflow automates the process of storing Notion pages as vector documents in a Supabase database with a vector column. The steps are as follows:\n\n1. **Notion Page Added Trigger**:\n - Monitors a specified Notion database for newly added pages. You can create a specific Notion database where you copy the pages you want to store in Supabase.\n - Node: `Page Added in Notion Database`\n\n2. **Retrieve Page Content**:\n - Fetches all block content from the newly added Notion page.\n - Node: `Get Blocks Content`\n\n3. **Filter Non-Text Content**:\n - Excludes blocks of type \"image\" and \"video\" to focus on textual content.\n - Node: `Filter - Exclude Media Content`\n\n4. **Summarize Content**:\n - Concatenates the Notion blocks content to create a single text for embedding.\n - Node: `Summarize - Concatenate Notion's blocks content`\n\n5. **Store in Supabase**:\n - Stores the processed documents and their embeddings into a Supabase table with a vector column.\n - Node: `Store Documents in Supabase`\n\n6. **Generate Embeddings**:\n - Utilizes OpenAI's API to generate embeddings f...

Output:
The node 'Notion - Page Added Trigger' 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 'Notion - Page Added Trigger'.


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:
{
  "id": "30r9acI1XVIIwAMi",
  "meta": {
    "instanceId": "378c072a34d9e63949fd9cf26b8d28ff276a486e303f0d8963f23e1d74169c1b",
    "templateCredsSetupCompleted": true
  },
  "name": "mails2notion V2",
  "tags": [],
  "nodes": [
    {
      "id": "3f649e97-e568-47ff-b175-bf63d859d95f",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        2560,
        240
      ],
      "parameters": {
        "model": "gpt-4o",
        "options": {
          "temperature": 0,
          "responseFormat": "json_object"
        }
      },
      "credentials": {
        "openAiApi": {
          "id": "mrgqM64cM1L88xC6",
          "name": "octionicsolutions@gmail.com"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "bd60c65f-ba6c-4dcb-8d09-b29f5dd475b7",
      "name": "Calculator",
      "type": "@n8n/n8n-nodes-langchain.toolCalculator",
      "disabled": true,
      "position": [
        2700,
        240
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "d052786a-92a0-4f9b-9867-2dd64ada8034",
      "name": "Structured Output Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        2820,
        240
      ],
      "parameters": {
        "jsonSchemaExample": "{\n \"summary\": \"Text\",\n \"meta\": {\n \"sender\": \"Text\",\n \"subject\": \"Text\",\n \"date\": \"Text\"\n }\n}"
      },
      "typeVersion": 1.2
    },
    {
      "id": "50d396fd-d3b0-4fea-99d7-18bd4773cb20",
      "name": "Add Label \"Processed\"",
      "type": "n8n-nodes-base.gmail",
      "position": [
        3860,
        20
      ],
      "parameters": {
        "labelIds": "={{ $('Globals').item.json.processedLabelID }}",
        "messageId": "={{ $('Gmail Trigger').item.json.id }}",
        "operation": "addLabels"
      },
      "credentials": {
        "gmailOAuth2": {
          "id": "9LLNsPzyDJlQFgdw",
          "name": "Gmail (mails2notion)"
        }...

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.


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": "JxFP8FJ2W7e4Kmqn",
  "meta": {
    "instanceId": "fb8bc2e315f7f03c97140b30aa454a27bc7883a19000fa1da6e6b571bf56ad6d",
    "templateCredsSetupCompleted": true
  },
  "name": "RAG on living data",
  "tags": [],
  "nodes": [
    {
      "id": "49086cdf-a38c-4cb8-9be9-d3e6ea5bdde5",
      "name": "Embeddings OpenAI",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        1740,
        1040
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "X7Jf0zECd3IkQdSw",
          "name": "OpenAi (octionicsolutions)"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "f0670721-92f4-422a-99c9-f9c2aa6fe21f",
      "name": "Token Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter",
      "position": [
        2380,
        540
      ],
      "parameters": {
        "chunkSize": 500
      },
      "typeVersion": 1
    },
    {
      "id": "fe80ecac-4f79-4b07-ad8e-60ab5f980cba",
      "name": "Loop Over Items",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        1180,
        -200
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "81b79248-08e8-4214-872b-1796e51ad0a4",
      "name": "Question and Answer Chain",
      "type": "@n8n/n8n-nodes-langchain.chainRetrievalQa",
      "position": [
        744,
        495
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.3
    },
    {
      "id": "e78f7b63-baef-4834-8f1b-aecfa9102d6c",
      "name": "Vector Store Retriever",
      "type": "@n8n/n8n-nodes-langchain.retrieverVectorStore",
      "position": [
        844,
        715
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "1d5ffbd0-b2cf-4660-a291-581d18608ecd",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        704,
    ...

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": "26ba763460b97c249b82942b23b6384876dfeb9327513332e743c5f6219c2b8e"
  },
  "nodes": [
    {
      "id": "bec5c6c1-52d4-4665-b814-56a6bb82ea6b",
      "name": "OpenAI Chat Model1",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        800,
        660
      ],
      "parameters": {
        "options": {
          "temperature": 0
        }
      },
      "credentials": {
        "openAiApi": {
          "id": "8gccIjcuf3gvaoEr",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "d3e057d1-df44-4ac3-ac46-fc2b04e3de78",
      "name": "Get Meeting ConferenceRecords",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        20,
        580
      ],
      "parameters": {
        "url": "https://meet.googleapis.com/v2/conferenceRecords",
        "options": {},
        "sendQuery": true,
        "authentication": "predefinedCredentialType",
        "queryParameters": {
          "parameters": [
            {
              "name": "filter",
              "value": "=space.meeting_code={{ $json.conferenceData.conferenceId }}"
            }
          ]
        },
        "nodeCredentialType": "googleOAuth2Api"
      },
      "credentials": {
        "googleOAuth2Api": {
          "id": "kgVOfvlBIWTWXthG",
          "name": "Google Meets Oauth2 API"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "831668fd-04ab-4144-bec0-c733902f2a13",
      "name": "Get Meeting Transcript Location",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        200,
        580
      ],
      "parameters": {
        "url": "=https://meet.googleapis.com/v2/{{ $json.conferenceRecords[0].name }}/transcripts",
        "options": {},
        "authentication": "predefinedCredentialType",
        "nodeCredentialType": "googleOAuth2Api"
      },
      "credentials": {
        "googleOAuth2Api": {
          "id": "kgVOfvlBIWTWXthG",
          "name": ...

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

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

**Impact**: Data from 'Attendees List' 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 'Attendees List' 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": {
  "Attendees List": {
    "main": [[{"node": "NextNode", "type": "main", "index": 0}]]
  }
}
```

Reconnect 'Attendees List' to the workflow.


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": "84ba6d895254e080ac2b4916d987aa66b000f88d4d919a6b9c76848f9b8a7616",
    "templateId": "2358"
  },
  "nodes": [
    {
      "id": "fb774d11-da48-4481-ad4e-8c93274f123e",
      "name": "Send message",
      "type": "n8n-nodes-base.slack",
      "position": [
        2340,
        580
      ],
      "parameters": {
        "text": "=Data from webhook: {{ $json.query.email }}",
        "select": "channel",
        "channelId": {
          "__rl": true,
          "mode": "list",
          "value": "C079GL6K3U6",
          "cachedResultName": "general"
        },
        "otherOptions": {},
        "authentication": "oAuth2"
      },
      "typeVersion": 2.2
    },
    {
      "id": "5a3ad8f1-eba7-4076-80fc-0c1237aab50b",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        380,
        240
      ],
      "parameters": {
        "color": 7,
        "width": 1163.3132111854613,
        "height": 677.0358687053997,
        "content": "![h](https://i.postimg.cc/9XLvL5dL/slide-sf-talk.png#full-width)",
        "_injected_number_field": "not_a_number"
      },
      "typeVersion": 1
    },
    {
      "id": "01c59396-0fef-4d1c-aa1f-787669300650",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1860,
        240
      ],
      "parameters": {
        "color": 7,
        "width": 437,
        "height": 99,
        "content": "# What is n8n?\n### Low-code Automation Platform for technical teams"
      },
      "typeVersion": 1
    },
    {
      "id": "0bdd4a35-7f5c-443c-a14a-4e6f7ed18712",
      "name": "Execute JavaScript",
      "type": "n8n-nodes-base.code",
      "position": [
        2340,
        380
      ],
      "parameters": {
        "jsCode": "// Loop over input items and add a new field called 'myNewField' to the JSON of each one\nfor (const item of $input.all()) {\n item.json.myNewField = 1;\n}\n\nreturn $input.all();"
      },
      "...

Output:
The node 'Sticky Note2' 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 Note2'.


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": "939bb301-5e12-4d5b-9a56-61a61cca5f0d",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        640,
        460
      ],
      "parameters": {
        "model": "gpt-4o-mini",
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "8gccIjcuf3gvaoEr",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "372777e8-ce90-4dea-befc-ac1b2eb4729f",
      "name": "Window Buffer Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        780,
        460
      ],
      "parameters": {},
      "typeVersion": 1.2
    },
    {
      "id": "7a8f0ad1-1c00-4043-b3e5-c88521140a1a",
      "name": "SerpAPI",
      "type": "@n8n/n8n-nodes-langchain.toolSerpApi",
      "position": [
        920,
        460
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "serpApi": {
          "id": "aJCKjxx6U3K7ydDe",
          "name": "SerpAPI account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "a7624108-e3da-4193-a625-887314216b8b",
      "name": "When chat message received",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        360,
        240
      ],
      "webhookId": "53c136fe-3e77-4709-a143-fe82746dd8b6",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "6b8b7de8-fe3f-43b5-97ce-a52a9e44eb5e",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        680,
        240
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.6
    },
    {
      "parameters": {
        "url": "https://api.example.com/data",
        "method": "GET",
        "options": {}
      }...

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: 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": "d44489b8-8cb7-4776-8c16-a8bb01e52171",
      "name": "OpenAI1",
      "type": "@n8n/n8n-nodes-langchain.openAi",
      "position": [
        300,
        -300
      ],
      "parameters": {
        "text": "={{ \n JSON.parse($('Insert Transcription Part').item.json.dialog)\n .filter(item => item.date_updated && new Date(item.date_updated) >= new Date($('Insert Transcription Part').item.json.date_updated))\n .sort((a, b) => a.order - b.order)\n .map(item => `${item.words}\\n${item.speaker}`)\n .join('\\n\\n')\n}}",
        "memory": "threadId",
        "prompt": "define",
        "options": {},
        "resource": "assistant",
        "threadId": "={{ $json.thread_id }}",
        "assistantId": {
          "__rl": true,
          "mode": "list",
          "value": "asst_D5t6bNnNpenmfC7PmvywMqyR",
          "cachedResultName": "5minAI - Realtime Agent"
        }
      },
      "credentials": {
        "openAiApi": {
          "id": "SphXAX7rlwRLkiox",
          "name": "Test club key"
        }
      },
      "typeVersion": 1.6
    },
    {
      "id": "3425f1c1-ad68-495e-bb9a-95ea92e7cf23",
      "name": "Insert Transcription Part",
      "type": "n8n-nodes-base.postgres",
      "position": [
        -120,
        -300
      ],
      "parameters": {
        "query": "UPDATE public.data\nSET output = jsonb_set(\n output,\n '{dialog}', \n (\n COALESCE(\n (output->'dialog')::jsonb, \n '[]'::jsonb -- Initialize as empty array if dialog does not exist\n ) || jsonb_build_object(\n 'order', (COALESCE(jsonb_array_length(output->'dialog'), 0) + 1), -- Calculate the next order\n 'words', '{{ $('Webhook2').item.json.body.data.transcript.words.map(word => word.text.replace(/'/g, \"''\")).join(\" \") }}',\n 'speaker', '{{ $('Webhook2').item.json.body.data.transcript.speaker }}',\n 'language', '{{ $('Webhook2').item.json.body.data.transcript.language }}',\n 'speaker_id', ('{{ $('Webhook2').item.json.body.data.transcript.speaker_id }}')::int,\n 'da...

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: 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": "dsKnCFwysROIA4MT",
  "meta": {
    "instanceId": "03524270bab2c2dfd5b82778cd1355e56cdda3cf098bf2dfd865e18164c00485"
  },
  "name": "Agent with custom HTTP Request",
  "tags": [],
  "nodes": [
    {
      "id": "e7374976-f3c1-4f60-ae57-9eec65444216",
      "name": "On new manual Chat Message",
      "type": "@n8n/n8n-nodes-langchain.manualChatTrigger",
      "position": [
        763,
        676
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "97e84a23-9536-43cd-94e9-b8166be8ed32",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        983,
        896
      ],
      "parameters": {
        "model": "gpt-4-1106-preview",
        "options": {
          "timeout": 300000,
          "temperature": 0.7,
          "frequencyPenalty": 0.3
        }
      },
      "credentials": {
        "openAiApi": {
          "id": "wPFAzp4ZHdLLwvkK",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "63d98361-8978-4042-84e7-53a0e226f946",
      "name": "HTTP Request",
      "type": "n8n-nodes-base.httpRequest",
      "onError": "continueRegularOutput",
      "position": [
        1360,
        1200
      ],
      "parameters": {
        "url": "={{ encodeURI($json.query.url) }}",
        "options": {
          "response": {
            "response": {
              "neverError": true
            }
          },
          "allowUnauthorizedCerts": true
        }
      },
      "typeVersion": 4.1,
      "alwaysOutputData": false
    },
    {
      "id": "17d4b5ae-f5d3-4793-8419-d3c879f7f50d",
      "name": "Exctract HTML Body",
      "type": "n8n-nodes-base.set",
      "position": [
        1780,
        1480
      ],
      "parameters": {
        "fields": {
          "values": [
            {
              "name": "HTML",
              "stringValue": "={{ $json?.data.match(/<body[^>]*>([\\s\\S]*?)<\\/body>/i)[1] }}"
            }
 ...

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: 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": "6a2a7715680b8313f7cb4676321c5baa46680adfb913072f089f2766f42e43bd"
  },
  "nodes": [
    {
      "id": "f577f6bd-b1a4-48ec-9329-7bccc3fc1463",
      "name": "Get All files",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        400,
        -100
      ],
      "parameters": {
        "url": "=https://yqtvdcvjboenlblgcivl.supabase.co/storage/v1/object/list/private",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n \"prefix\": \"\",\n \"limit\": 100,\n \"offset\": 0,\n \"sortBy\": {\n \"column\": \"name\",\n \"order\": \"asc\"\n }\n}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "predefinedCredentialType",
        "nodeCredentialType": "supabaseApi"
      },
      "credentials": {
        "supabaseApi": {
          "id": "t8AQJzvZvrOMDLec",
          "name": "Supabase account My Airtable Gen"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "10693bc8-560d-4cf6-8bd0-2fe3f4d863d1",
      "name": "Default Data Loader",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        1780,
        100
      ],
      "parameters": {
        "options": {
          "metadata": {
            "metadataValues": [
              {
                "name": "=file_id",
                "value": "={{ $json.id }}"
              }
            ]
          }
        },
        "jsonData": "={{ $('Merge').item.json.data ?? $('Merge').item.json.text }}",
        "jsonMode": "expressionData"
      },
      "typeVersion": 1
    },
    {
      "id": "49428060-e707-4269-8344-77b301f56f7c",
      "name": "Recursive Character Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
      "position": [
        1780,
        280
      ],
      "parameters": {
        "options": {},
        "chunkSize": 500,
        "chunkOverlap": 200
      },
      "typeVersion": 1
    },
    {
      "id": "...

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: 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": "PoiRk5w0xd1ysq4U",
  "meta": {
    "instanceId": "b9faf72fe0d7c3be94b3ebff0778790b50b135c336412d28fd4fca2cbbf8d1f5",
    "templateCredsSetupCompleted": true
  },
  "name": "AI Agent to chat with you Search Console Data, using OpenAI and Postgres",
  "tags": [],
  "nodes": [
    {
      "id": "9ee6710b-19b7-4bfd-ac2d-0fe1e2561f1d",
      "name": "Postgres Chat Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryPostgresChat",
      "position": [
        1796,
        220
      ],
      "parameters": {
        "tableName": "insights_chat_histories"
      },
      "credentials": {
        "postgres": {
          "id": "",
          "name": "Postgres"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "eb9f07e9-ded1-485c-9bf3-cf223458384a",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        1356,
        240
      ],
      "parameters": {
        "model": "gpt-4o",
        "options": {
          "maxTokens": 16000
        }
      },
      "credentials": {
        "openAiApi": {
          "id": "",
          "name": "OpenAi"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "1d3d6fb7-a171-4590-be42-df7eb0c208ed",
      "name": "Set fields",
      "type": "n8n-nodes-base.set",
      "position": [
        940,
        -20
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "9f47b322-e42f-42d7-93eb-a57d22adb849",
              "name": "chatInput",
              "type": "string",
              "value": "={{ $json.body?.chatInput || $json.chatInput }}"
            },
            {
              "id": "73ec4dd0-e986-4f60-9dca-6aad2f86bdeb",
              "name": "sessionId",
              "type": "string",
              "value": "={{ $json.body?.sessionId || $json.sessionId }}"
            },
            {
              "id": "4b688c46-b60f-4f0a-83d8-e283f2d7055c",
           ...

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: 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": "558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a",
    "templateId": "2931",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "100f23d3-cbe9-458a-9ef1-7cc5fcba8f3c",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        640,
        540
      ],
      "parameters": {
        "width": 300,
        "height": 205,
        "content": "### The conversation history(last 20 messages) is stored in a buffer memory"
      },
      "typeVersion": 1
    },
    {
      "id": "b48f989f-deb9-479c-b163-03f098d00c9c",
      "name": "On new manual Chat Message",
      "type": "@n8n/n8n-nodes-langchain.manualChatTrigger",
      "position": [
        380,
        240
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "add8e8df-6b2a-4cbd-84e7-3b006733ef7d",
      "name": "Wikipedia",
      "type": "@n8n/n8n-nodes-langchain.toolWikipedia",
      "position": [
        1180,
        640
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "a97454a8-001d-4986-9cb5-83176229ea70",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        980,
        540
      ],
      "parameters": {
        "width": 300,
        "height": 205,
        "content": "### Tools which agent can use to accomplish the task"
      },
      "typeVersion": 1
    },
    {
      "id": "52b57e72-8cc9-4865-9a00-d03b2e7f1b92",
      "name": "Sticky Note6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        600,
        160
      ],
      "parameters": {
        "width": 422,
        "height": 211,
        "content": "### Conversational agent will utilise available tools to answer the prompt. "
      },
      "typeVersion": 1
    },
    {
      "id": "8f0653ab-376b-40b9-b876-e608defdeb89",
      "name": "Window Buffer Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow...

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

**Root Cause**: The connections object is missing the output connections for 'Weather HTTP Request'.

**Impact**: Data from 'Weather HTTP Request' 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 'Weather HTTP Request' 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": {
  "Weather HTTP Request": {
    "main": [[{"node": "NextNode", "type": "main", "index": 0}]]
  }
}
```

Reconnect 'Weather HTTP Request' 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": "ITH6r6UYtlCyUcpj",
  "meta": {
    "instanceId": "b9faf72fe0d7c3be94b3ebff0778790b50b135c336412d28fd4fca2cbbf8d1f5"
  },
  "name": "AI Agent : Google calendar assistant using OpenAI",
  "tags": [],
  "nodes": [
    {
      "id": "2e670a54-f789-4c8b-abba-ae35c458f5ed",
      "name": "When chat message received",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -280,
        0
      ],
      "webhookId": "5308edc9-738b-4aae-a789-214e2392579a",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "96bf895f-a18c-4a4c-bc26-3ec5d2372de5",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        160,
        820
      ],
      "parameters": {
        "model": "gpt-4o",
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "",
          "name": "OpenAi"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "270176df-9c2d-4f1a-b017-9349cb249341",
      "name": "Window Buffer Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        580,
        820
      ],
      "parameters": {},
      "typeVersion": 1.3
    },
    {
      "id": "5cdece35-bd69-4c77-b240-963df8781d64",
      "name": "Google Calendar - Get Events",
      "type": "n8n-nodes-base.googleCalendarTool",
      "position": [
        960,
        800
      ],
      "parameters": {
        "options": {
          "timeMax": "={{ $fromAI('end_date') }}",
          "timeMin": "={{ $fromAI('start_date') }}"
        },
        "calendar": {
          "__rl": true,
          "mode": "list",
          "value": "",
          "cachedResultName": ""
        },
        "operation": "getAll",
        "descriptionType": "manual",
        "toolDescription": "Use this tool when you\u2019re asked to retrieve events data."
      },
      "credentials": {
        "googleCalendarOAuth2Api": {
 ...

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: 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": "t1P14FvfibKYCh3E",
  "meta": {
    "instanceId": "a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462",
    "templateCredsSetupCompleted": true
  },
  "name": "HR-focused automation pipeline with AI",
  "tags": [],
  "nodes": [
    {
      "id": "b1092f93-502c-4af0-962e-2b69311b92a3",
      "name": "On form submission",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
        -520,
        -200
      ],
      "webhookId": "2a87705d-8ba1-41f1-80ef-85f364ce253e",
      "parameters": {
        "options": {},
        "formTitle": "Send CV",
        "formFields": {
          "values": [
            {
              "fieldLabel": "Name",
              "placeholder": "Name",
              "requiredField": true
            },
            {
              "fieldType": "email",
              "fieldLabel": "Email",
              "placeholder": "Email",
              "requiredField": true
            },
            {
              "fieldType": "file",
              "fieldLabel": "CV",
              "requiredField": true,
              "acceptFileTypes": ".pdf"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "77edfe2a-4c6a-48c8-8dc9-b275491be090",
      "name": "Extract from File",
      "type": "n8n-nodes-base.extractFromFile",
      "position": [
        -160,
        -200
      ],
      "parameters": {
        "options": {},
        "operation": "pdf",
        "binaryPropertyName": "CV"
      },
      "typeVersion": 1
    },
    {
      "id": "ebf2e194-3515-4c0a-8745-790b63bf336f",
      "name": "Qualifications",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
        160,
        -100
      ],
      "parameters": {
        "text": "={{ $json.text }}",
        "options": {
          "systemPromptTemplate": "You are an expert extraction algorithm.\nOnly extract relevant information from the text.\nIf you do not know the value of an attribute asked to extract, ...

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

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

**Impact**: Data from 'Personal Data' 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 'Personal Data' 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": {
  "Personal Data": {
    "main": [[{"node": "NextNode", "type": "main", "index": 0}]]
  }
}
```

Reconnect 'Personal Data' to the workflow.


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": "cb484ba7b742928a2048bf8829668bed5b5ad9787579adea888f05980292a4a7"
  },
  "nodes": [
    {
      "id": "4c52efcf-039b-4550-8a63-3d3d4dde488b",
      "name": "On new manual Chat Message",
      "type": "@n8n/n8n-nodes-langchain.manualChatTrigger",
      "position": [
        740,
        300
      ],
      "parameters": {},
      "typeVersion": 1.1
    },
    {
      "id": "adb528f1-b87b-4bb2-99e1-776fd839522e",
      "name": "Execute Workflow Trigger",
      "type": "n8n-nodes-base.executeWorkflowTrigger",
      "position": [
        680,
        940
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "092cf737-5b53-4fc8-82f5-c775b77ea0bd",
      "name": "Hacker News",
      "type": "n8n-nodes-base.hackerNews",
      "position": [
        900,
        940
      ],
      "parameters": {
        "limit": 50,
        "resource": "all",
        "additionalFields": {}
      },
      "typeVersion": 1
    },
    {
      "id": "a0805137-630c-4065-826e-88afa000660f",
      "name": "Clean up data",
      "type": "n8n-nodes-base.set",
      "position": [
        1120,
        940
      ],
      "parameters": {
        "fields": {
          "values": [
            {
              "name": "title",
              "stringValue": "={{ $json._highlightResult.title.value }}"
            },
            {
              "name": "points",
              "type": "numberValue",
              "numberValue": "={{ $json.points }}"
            },
            {
              "name": "url",
              "stringValue": "={{ $json.url }}"
            },
            {
              "name": "created_at",
              "stringValue": "={{ $json.created_at }}"
            },
            {
              "name": "author",
              "stringValue": "={{ $json.author }}"
            }
          ]
        },
        "include": "none",
        "options": {}
      },
      "typeVersion": 3.2
    },
    {
      "id": "e1b255f4-e970-42d6-9870-4e302...

Output:
The workflow has a broken data flow. The node 'Custom tool to call the wf below' is not connected to any subsequent nodes.

**Root Cause**: The connections object is missing the output connections for 'Custom tool to call the wf below'.

**Impact**: Data from 'Custom tool to call the wf below' 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 'Custom tool to call the wf below' 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": {
  "Custom tool to call the wf below": {
    "main": [[{"node": "NextNode", "type": "main", "index": 0}]]
  }
}
```

Reconnect 'Custom tool to call the wf below' 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:
{
  "meta": {
    "instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9"
  },
  "nodes": [
    {
      "id": "3a3bcb2d-cb94-40d8-8b9e-322ea9d27f6e",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1000,
        640
      ],
      "parameters": {
        "width": 300,
        "height": 185,
        "content": "### The conversation history(last 20 messages) is stored in a buffer memory"
      },
      "typeVersion": 1
    },
    {
      "id": "e279af43-b003-4499-b221-58716e735379",
      "name": "On new manual Chat Message",
      "type": "@n8n/n8n-nodes-langchain.manualChatTrigger",
      "position": [
        740,
        340
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "f4f8bf03-a43e-4a1f-a592-cd0f8408f552",
      "name": "Chat OpenAI",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        840,
        653
      ],
      "parameters": {
        "model": "gpt-4o-mini",
        "options": {
          "temperature": 0.3
        }
      },
      "credentials": {
        "openAiApi": {
          "id": "8gccIjcuf3gvaoEr",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "66b60f68-bae8-4958-ac81-03883f563ab3",
      "name": "Wikipedia",
      "type": "@n8n/n8n-nodes-langchain.toolWikipedia",
      "position": [
        1480,
        693
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "70f6b43b-9290-4fbc-992f-0895d4578c9f",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1340,
        633
      ],
      "parameters": {
        "width": 300,
        "height": 185,
        "content": "### Tools which agent can use to accomplish the task"
      },
      "typeVersion": 1
    },
    {
      "id": "8696269f-6556-41f1-bbe4-5597e4e46e02",
      "name": "Sticky Note6",
      "type": "n8n-nodes-base.stick...

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": "tMiRJYDrXzpKysTX",
  "meta": {
    "instanceId": "2723a3a635131edfcb16103f3d4dbaadf3658e386b4762989cbf49528dccbdbd",
    "templateId": "1960"
  },
  "name": "Stock Q&A Workflow",
  "tags": [],
  "nodes": [
    {
      "id": "ec3b86be-4113-4fd5-8365-02adb67693e9",
      "name": "Embeddings OpenAI1",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        1960,
        720
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "fOF5kro9BJ6KMQ7n",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "42fd8020-3861-4d0f-a7a2-70e2c35f0bed",
      "name": "On new manual Chat Message",
      "type": "@n8n/n8n-nodes-langchain.manualChatTrigger",
      "disabled": true,
      "position": [
        1620,
        240
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "a9b48d04-691e-4537-90f8-d7a4aa6153af",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1560,
        120
      ],
      "parameters": {
        "color": 6,
        "width": 903.0896125323785,
        "height": 733.5099670584011,
        "content": "## Step 2: Setup the Q&A \n### The incoming message from the webhook is queried from the Supabase Vector Store. The response is provided in the response webhook. "
      },
      "typeVersion": 1
    },
    {
      "id": "472b4800-745a-4337-9545-163247f7e9ae",
      "name": "Retrieval QA Chain",
      "type": "@n8n/n8n-nodes-langchain.chainRetrievalQa",
      "position": [
        1880,
        240
      ],
      "parameters": {
        "query": "={{ $json.body.input }}"
      },
      "typeVersion": 1
    },
    {
      "id": "e58bd82d-abc6-44ed-8e93-ec5436126d66",
      "name": "Respond to Webhook",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        2280,
        240
      ],
      "parameters": {
     ...

Output:
The workflow has a broken data flow. The node 'Webhook1' is not connected to any subsequent nodes.

**Root Cause**: The connections object is missing the output connections for 'Webhook1'.

**Impact**: Data from 'Webhook1' 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 'Webhook1' 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": {
  "Webhook1": {
    "main": [[{"node": "NextNode", "type": "main", "index": 0}]]
  }
}
```


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": "82a17fa4a0b8e81bf77e5ab999d980f392150f2a9541fde626dc5f74857b1f54"
  },
  "nodes": [
    {
      "id": "4ea39a4f-d8c1-438f-9738-bfbb906a3d7a",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1200,
        1020
      ],
      "parameters": {
        "width": 253,
        "height": 342,
        "content": "## Send customer feedback to OpenAI for sentiment analysis"
      },
      "typeVersion": 1
    },
    {
      "id": "6962ea41-7d15-4932-919f-21ac94fa1269",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1960,
        1180
      ],
      "parameters": {
        "width": 253,
        "height": 342,
        "content": "## Add new feedback to google sheets"
      },
      "typeVersion": 1
    },
    {
      "id": "4c8a8984-2d8e-4139-866b-6f3536aced07",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        800,
        1600
      ],
      "parameters": {
        "width": 1407,
        "height": 254,
        "content": "## Instructions\n1. Connect Google sheets\n2. Connect your OpenAi account (api key + org Id)\n3. Create a customer feedback form, use an existing one or use the one below as example. \nAll set!\n\n\n- Here is the example google sheet being used in this workflow: https://docs.google.com/spreadsheets/d/1omWdRbiT6z6GNZ6JClu9gEsRhPQ6J0EJ2yXyFH9Zng4/edit?usp=sharing. You can download it to your account."
      },
      "typeVersion": 1
    },
    {
      "id": "d43a9574-626d-4817-87ba-d99bdd6f41dc",
      "name": "Sticky Note5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        800,
        1160
      ],
      "parameters": {
        "width": 253,
        "height": 342,
        "content": "## Feedback form is submitted"
      },
      "typeVersion": 1
    },
    {
      "id": "76dab2dc-935f-416e-91aa-5a1b7017ec1b",
      "name": "Sticky Note6",
      "type"...

Output:
The node 'Classify feedback with OpenAI' 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 'Classify feedback with OpenAI'.


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:
{
  "nodes": [
    {
      "id": "36816ae7-414a-482e-8a50-021885237273",
      "name": "Event Type",
      "type": "n8n-nodes-base.switch",
      "position": [
        -220,
        -140
      ],
      "parameters": {
        "rules": {
          "values": [
            {
              "outputKey": "row.updated",
              "conditions": {
                "options": {
                  "version": 2,
                  "leftValue": "",
                  "caseSensitive": true,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
                  {
                    "id": "2162daf8-d23d-4b8f-8257-bdfc5400a3a8",
                    "operator": {
                      "name": "filter.operator.equals",
                      "type": "string",
                      "operation": "equals"
                    },
                    "leftValue": "={{ $json.event_type }}",
                    "rightValue": "row.updated"
                  }
                ]
              },
              "renameOutput": true
            },
            {
              "outputKey": "field.created",
              "conditions": {
                "options": {
                  "version": 2,
                  "leftValue": "",
                  "caseSensitive": true,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
                  {
                    "id": "48e112f6-afe8-40bf-b673-b37446934a62",
                    "operator": {
                      "name": "filter.operator.equals",
                      "type": "string",
                      "operation": "equals"
                    },
                    "leftValue": "={{ $json.event_type }}",
                    "rightValue": "field.created"
                  }
                ]
              },
              "renameOutput": true
            },
            {
              "outp...

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": "065d7ec9-edc5-46f6-b8ac-d62ed0e5c8e3",
      "name": "Baserow Event",
      "type": "n8n-nodes-base.webhook",
      "position": [
        -1180,
        -140
      ],
      "webhookId": "267ea500-e2cd-4604-a31f-f0773f27317c",
      "parameters": {
        "path": "267ea500-e2cd-4604-a31f-f0773f27317c",
        "options": {},
        "httpMethod": "POST"
      },
      "typeVersion": 2
    },
    {
      "id": "ac1403b4-9d45-404d-9892-0bed39b9ec82",
      "name": "Event Type",
      "type": "n8n-nodes-base.switch",
      "position": [
        -220,
        -140
      ],
      "parameters": {
        "rules": {
          "values": [
            {
              "outputKey": "rows.updated",
              "conditions": {
                "options": {
                  "version": 2,
                  "leftValue": "",
                  "caseSensitive": true,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
                  {
                    "id": "2162daf8-d23d-4b8f-8257-bdfc5400a3a8",
                    "operator": {
                      "name": "filter.operator.equals",
                      "type": "string",
                      "operation": "equals"
                    },
                    "leftValue": "={{ $json.event_type }}",
                    "rightValue": "rows.updated"
                  }
                ]
              },
              "renameOutput": true
            },
            {
              "outputKey": "field.created",
              "conditions": {
                "options": {
                  "version": 2,
                  "leftValue": "",
                  "caseSensitive": true,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
                  {
                    "id": "48e112f6-afe8-40bf-b673-b37446934a62",
                    "operator...

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.


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:
{
  "meta": {
    "instanceId": "32d80f55a35a7b57f8e47a2ac19558d9f5bcec983a5519d9c29ba713ff4f12c7",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "d9e3e2af-1db4-4ef1-a12a-c56df545e09e",
      "name": "Strava Trigger",
      "type": "n8n-nodes-base.stravaTrigger",
      "position": [
        -60,
        0
      ],
      "webhookId": "c656f7eb-6176-48b1-a68f-7e169699cecb",
      "parameters": {
        "event": "update",
        "object": "activity",
        "options": {}
      },
      "credentials": {
        "stravaOAuth2Api": {
          "id": "lI69z0e9sP9DBcrp",
          "name": "Strava account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "344106a7-f1ce-4ef0-be60-8b0dc6c92fe4",
      "name": "Google Gemini Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        560,
        180
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "MqxJQHgdP5sIvdos",
          "name": "Google Gemini(PaLM) - ali@amjid"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "5ea7c2b8-0ddc-414e-b90c-d1269e074d16",
      "name": "Gmail",
      "type": "n8n-nodes-base.gmail",
      "position": [
        1420,
        -200
      ],
      "webhookId": "70ab1218-b5a1-47e7-9e9e-89c5c4f84c15",
      "parameters": {
        "sendTo": "amjid@amjidali.com",
        "message": "={{ $json.html }}",
        "options": {
          "appendAttribution": false
        },
        "subject": "="
      },
      "credentials": {
        "gmailOAuth2": {
          "id": "dYWFonU1YWbQ9MHf",
          "name": "Gmail account ali@amjidali"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "540e2273-c094-4339-a9d9-41cecbaa55d8",
      "name": "Combine Everything",
      "type": "n8n-nodes-base.code",
      "position": [
        280,
        0
      ],
    ...

Output: The JSON is invalid because it is missing a closing brace '}' at the end of the file. Add the missing '}' to close the workflow object.

Add a closing brace '}' at the end of the JSON.