Describe the problem/error/question
I post a chat message but the “output” section of the “When chat message received” node is empty and causes the downstream AI Agent node to fail because there is no available input.
It did seem to work w/ just the calculator and youtube tools on the AI Agent. After adding the HTTP Request Tool it stopped working, but I’m not sure if that’s related or not.
The Chat Node shows one item, but it’s empty:
What is the error message (if any)?
When I try to run the AI tool agent the issues here show up:
Issues:
- Parameter “Prompt (User Message)” is required.
- Parameter “Text” is required.
- Parameter “Prompt (User Message)” is required.
- Parameter “Text” is required.
Please share your workflow
(Select the nodes on your canvas and use the keyboard shortcuts CMD+C/CTRL+C and CMD+V/CTRL+V to copy and paste the workflow.)
{
“nodes”: [
{
“parameters”: {
“options”: {}
},
“type”: “@n8n/n8n-nodes-langchain.chatTrigger”,
“typeVersion”: 1.1,
“position”: [
-400,
-100
],
“id”: “717a9cdc-ad52-4d75-bce7-df5967d64979”,
“name”: “When chat message received”,
“webhookId”: “5348f55d-e7e0-41d3-b394-145cdbd4b1d6”
},
{
“parameters”: {
“promptType”: “=You are an intelligent personal assistant. Your role is to use Youtube APIs to satisfy the following request:\n\n{{ $json.chatInput }}”,
“text”: “”,
“options”: {}
},
“type”: “@n8n/n8n-nodes-langchain.agent”,
“typeVersion”: 1.7,
“position”: [
0,
-100
],
“id”: “cb1a9602-6aa4-4c92-9c76-1a7223f3f84f”,
“name”: “AI Agent”
},
{
“parameters”: {
“model”: “qwen2.5:7b-8k”,
“options”: {}
},
“type”: “@n8n/n8n-nodes-langchain.lmChatOllama”,
“typeVersion”: 1,
“position”: [
-40,
80
],
“id”: “ace03fb5-0afe-4333-9ef4-d05aa66af63d”,
“name”: “Ollama Chat Model”,
“credentials”: {
“ollamaApi”: {
“id”: “GoOYXY8f0AzN01pf”,
“name”: “Ollama account”
}
}
},
{
“parameters”: {},
“type”: “@n8n/n8n-nodes-langchain.memoryBufferWindow”,
“typeVersion”: 1.3,
“position”: [
80,
80
],
“id”: “0eb193df-d127-4d7f-b44e-c1fddcb51187”,
“name”: “Window Buffer Memory”
},
{
“parameters”: {},
“type”: “@n8n/n8n-nodes-langchain.toolCalculator”,
“typeVersion”: 1,
“position”: [
260,
120
],
“id”: “03e837b2-1730-4287-b8fe-73cc548a79a7”,
“name”: “Calculator”
},
{
“parameters”: {
“resource”: “videoCategory”,
“regionCode”: “US”,
“returnAll”: “={{ /n8n-auto-generated-fromAI-override/ $fromAI(‘Return_All’, ``, ‘boolean’) }}”
},
“type”: “n8n-nodes-base.youTubeTool”,
“typeVersion”: 1,
“position”: [
560,
140
],
“id”: “c74c0c69-46f3-480c-a305-5fef3cf33769”,
“name”: “YouTube Video Category”,
“credentials”: {
“youTubeOAuth2Api”: {
“id”: “Ip3U0whRHOzI55MM”,
“name”: “YouTube account”
}
}
},
{
“parameters”: {
“resource”: “video”,
“returnAll”: “={{ /n8n-auto-generated-fromAI-override/ $fromAI(‘Return_All’, ``, ‘boolean’) }}”,
“filters”: {
“q”: “={{ /n8n-auto-generated-fromAI-override/ $fromAI(‘Query’, ``, ‘string’) }}”
},
“options”: {}
},
“type”: “n8n-nodes-base.youTubeTool”,
“typeVersion”: 1,
“position”: [
420,
140
],
“id”: “842650df-8b20-43ba-81a8-53f7618ff7b5”,
“name”: “YouTube Video”,
“credentials”: {
“youTubeOAuth2Api”: {
“id”: “Ip3U0whRHOzI55MM”,
“name”: “YouTube account”
}
}
},
{
“parameters”: {
“toolDescription”: “Use this tool to retrieve all comment threads associated with a particular video. The request’s {videoId} parameter identifies the video.\n\nWhat you specify for {part} determines what portions of data is returned.”,
“url”: “https://youtube.googleapis.com/youtube/v3/commentThreads”,
“authentication”: “predefinedCredentialType”,
“nodeCredentialType”: “youTubeOAuth2Api”,
“sendQuery”: true,
“parametersQuery”: {
“values”: [
{
“name”: “part”,
“valueProvider”: “fieldValue”,
“value”: “{part}”
},
{
“name”: “maxResults”,
“valueProvider”: “fieldValue”,
“value”: “{maxResults}”
},
{
“name”: “textFormat”,
“valueProvider”: “fieldValue”,
“value”: “{textFormat}”
},
{
“name”: “videoId”,
“valueProvider”: “fieldValue”,
“value”: “{videoId}”
},
{
“name”: “searchTerms”,
“valueProvider”: “fieldValue”,
“value”: “{searchTerms}”
}
]
},
“placeholderDefinitions”: {
“values”: [
{
“name”: “part”,
“description”: “The part parameter specifies a comma-separated list of one or more commentThread resource properties that the API response will include. The possible values are: id, replies, snippet”,
“type”: “string”
},
{
“name”: “maxResults”,
“description”: “The maxResults parameter specifies the maximum number of items that should be returned in the result set. Acceptable values are 1 to 100, inclusive. The default value is 20.”,
“type”: “number”
},
{
“name”: “textFormat”,
“description”: "Set this parameter’s value to html or plainText to instruct the API to return the comments left by users in html formatted or in plain text. The default value is html. Acceptable values are: html or plainText ",
“type”: “string”
},
{
“name”: “videoId”,
“description”: “The videoId parameter instructs the API to return comment threads associated with the specified video ID”,
“type”: “string”
},
{
“name”: “searchTerms”,
“description”: “searchTerms is an optional parameter that instructs the API to limit the API response to only contain comments that contain the specified search terms.”,
“type”: “string”
}
]
},
“optimizeResponse”: true
},
“type”: “@n8n/n8n-nodes-langchain.toolHttpRequest”,
“typeVersion”: 1.1,
“position”: [
800,
140
],
“id”: “dc691cc9-92c3-4300-9d6b-49757d5518c9”,
“name”: “Youtube Top Level Comments”,
“credentials”: {
“youTubeOAuth2Api”: {
“id”: “Ip3U0whRHOzI55MM”,
“name”: “YouTube account”
}
}
}
],
“connections”: {
“When chat message received”: {
“main”: [
[
{
“node”: “AI Agent”,
“type”: “main”,
“index”: 0
}
]
]
},
“Ollama Chat Model”: {
“ai_languageModel”: [
[
{
“node”: “AI Agent”,
“type”: “ai_languageModel”,
“index”: 0
}
]
]
},
“Window Buffer Memory”: {
“ai_memory”: [
[
{
“node”: “AI Agent”,
“type”: “ai_memory”,
“index”: 0
}
]
]
},
“Calculator”: {
“ai_tool”: [
[
{
“node”: “AI Agent”,
“type”: “ai_tool”,
“index”: 0
}
]
]
},
“YouTube Video Category”: {
“ai_tool”: [
[
{
“node”: “AI Agent”,
“type”: “ai_tool”,
“index”: 0
}
]
]
},
“YouTube Video”: {
“ai_tool”: [
[
{
“node”: “AI Agent”,
“type”: “ai_tool”,
“index”: 0
}
]
]
},
“Youtube Top Level Comments”: {
“ai_tool”: [
[
{
“node”: “AI Agent”,
“type”: “ai_tool”,
“index”: 0
}
]
]
}
},
“pinData”: {},
“meta”: {
“templateCredsSetupCompleted”: true,
“instanceId”: “0169febd24d7480961938a4072c5359fc3e91cbb6c8e783eb07e7879a4317d5f”
}
}
Share the output returned by the last node
The output of the chat trigger node is this:
[
{}
]
Information on your n8n setup
- n8n version: 1.78.1
- Database (default: SQLite): Whatever is default (i guess SQLite)
- n8n EXECUTIONS_PROCESS setting (default: own, main): Dunno what it means, but I guess it’s default then.
- Running n8n via (Docker, npm, n8n cloud, desktop app): npm
- Operating system: Win11
Debug Information:
Debug info
core
- n8nVersion: 1.78.1
- platform: npm
- nodeJsVersion: 20.18.3
- database: sqlite
- executionMode: regular
- concurrency: -1
- license: community
- consumerId: unknown
storage
- success: all
- error: all
- progress: false
- manual: true
- binaryMode: memory
pruning
- enabled: true
- maxAge: 336 hours
- maxCount: 10000 executions
client
- userAgent: mozilla/5.0 (windows nt 10.0; win64; x64) applewebkit/537.36 (khtml, like gecko) chrome/133.0.0.0 safari/537.36
- isTouchDevice: false
Generated at: 2025-02-21T08:20:39.809Z
