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aio-01d4-stu/Last3Mon/66/reference/lab02-example2-actions.json
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{
"name": "66 Meeting actions (reference · Lab 02 example 2)",
"nodes": [
{
"name": "Meeting webhook",
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
0,
300
],
"parameters": {
"httpMethod": "POST",
"path": "my-meeting",
"responseMode": "responseNode",
"options": {}
}
},
{
"name": "Has notes?",
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
200,
300
],
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "c0",
"leftValue": "={{ String($json.body.notes ?? '').trim() }}",
"rightValue": "",
"operator": {
"type": "string",
"operation": "notEmpty",
"singleValue": true
}
}
],
"combinator": "and"
},
"options": {}
}
},
{
"name": "Reject empty",
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.1,
"position": [
420,
560
],
"parameters": {
"respondWith": "json",
"responseBody": "{ \"error\": \"notes are required\" }",
"options": {
"responseCode": 400
}
}
},
{
"name": "Summarize",
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 3.1,
"position": [
420,
300
],
"parameters": {
"promptType": "define",
"text": "=회의 제목: {{ $('Meeting webhook').first().json.body.title || '회의' }}\n회의록:\n{{ $('Meeting webhook').first().json.body.notes }}",
"options": {
"systemMessage": "You summarize Korean meeting notes in one Korean sentence: what the meeting was about and what was decided. Use only the notes. Return only the sentence.",
"maxIterations": 2
}
}
},
{
"name": "Summary model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
380,
520
],
"parameters": {
"model": {
"__rl": true,
"mode": "id",
"value": "gpt-4.1-mini"
},
"options": {
"temperature": 0
}
},
"credentials": {
"openAiApi": {
"id": "openAiCourse0001",
"name": "OpenAI (.env)"
}
}
},
{
"name": "Extract actions",
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 3.1,
"position": [
680,
300
],
"parameters": {
"promptType": "define",
"text": "=회의 제목: {{ $('Meeting webhook').first().json.body.title || '회의' }}\n회의록:\n{{ $('Meeting webhook').first().json.body.notes }}",
"options": {
"systemMessage": "You read Korean meeting notes and list every action item (a task someone must do). Return only JSON, no code fence: {\"actions\": [{\"owner\": \"person in charge or empty\", \"task\": \"the task in Korean\", \"due\": \"due date as written or empty\"}]} Keep the order of the notes. Use only what the notes say: never invent an owner or a date. If there is no action item, return {\"actions\": []}.",
"maxIterations": 2
}
}
},
{
"name": "Actions model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
640,
520
],
"parameters": {
"model": {
"__rl": true,
"mode": "id",
"value": "gpt-4.1-mini"
},
"options": {
"temperature": 0
}
},
"credentials": {
"openAiApi": {
"id": "openAiCourse0001",
"name": "OpenAI (.env)"
}
}
},
{
"name": "Parse actions",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
940,
300
],
"parameters": {
"jsCode": "// LLM output is text. Read it as JSON; if that fails, treat it as no actions. Then fill the blanks.\nconst raw = String($json.output ?? '').trim().replace(/^```(json)?\\s*|```$/g, '');\nlet data = {};\ntry { data = JSON.parse(raw); } catch (error) { data = {}; }\nconst actions = (Array.isArray(data.actions) ? data.actions : [])\n .map(item => ({ owner: String(item?.owner ?? '').trim() || '미정', task: String(item?.task ?? '').trim(), due: String(item?.due ?? '').trim() || '미정' }))\n .filter(item => item.task);\n\nreturn [{ json: { title: (String($('Meeting webhook').first().json.body.title ?? '').trim() || '회의'), summary: $('Summarize').first().json.output.trim(), count: actions.length, actions } }];"
}
},
{
"name": "Send result",
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.1,
"position": [
1160,
300
],
"parameters": {
"respondWith": "json",
"responseBody": "={{ $json }}",
"options": {}
}
}
],
"connections": {
"Meeting webhook": {
"main": [
[
{
"node": "Has notes?",
"type": "main",
"index": 0
}
]
]
},
"Has notes?": {
"main": [
[
{
"node": "Summarize",
"type": "main",
"index": 0
}
],
[
{
"node": "Reject empty",
"type": "main",
"index": 0
}
]
]
},
"Summary model": {
"ai_languageModel": [
[
{
"node": "Summarize",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Summarize": {
"main": [
[
{
"node": "Extract actions",
"type": "main",
"index": 0
}
]
]
},
"Actions model": {
"ai_languageModel": [
[
{
"node": "Extract actions",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Extract actions": {
"main": [
[
{
"node": "Parse actions",
"type": "main",
"index": 0
}
]
]
},
"Parse actions": {
"main": [
[
{
"node": "Send result",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}