563 lines
14 KiB
JSON
563 lines
14 KiB
JSON
{
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"name": "72 IT helpdesk + timings (reference)",
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"nodes": [
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{
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"name": "Question webhook",
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"type": "n8n-nodes-base.webhook",
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"typeVersion": 2,
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"parameters": {
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"httpMethod": "POST",
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"path": "my-helpdesk",
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"responseMode": "responseNode",
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"options": {}
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},
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"webhookId": "de518e93-ed19-541f-a6fc-687a4efaf1b2",
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"position": [
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0,
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300
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],
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"id": "f7eddb61-8a29-5748-9dfe-a33e4db5fb4e"
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},
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{
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"name": "Has question?",
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"type": "n8n-nodes-base.if",
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"typeVersion": 2.2,
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"parameters": {
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"conditions": {
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"options": {
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"caseSensitive": true,
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"leftValue": "",
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"typeValidation": "loose",
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"version": 2
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},
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"conditions": [
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{
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"id": "c1",
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"leftValue": "={{ $json.body.question }}",
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"rightValue": "",
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"operator": {
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"type": "string",
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"operation": "notEmpty",
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"singleValue": true
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}
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}
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],
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"combinator": "and"
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},
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"options": {}
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},
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"position": [
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220,
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300
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],
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"id": "f10269df-f57b-55be-9527-7d99273541e5"
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},
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{
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"name": "Reject empty",
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"type": "n8n-nodes-base.respondToWebhook",
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"typeVersion": 1.1,
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"parameters": {
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"respondWith": "json",
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"responseBody": "{ \"error\": \"question is required\" }",
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"options": {
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"responseCode": 400
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}
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},
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"position": [
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440,
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560
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],
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"id": "ae5fdf1d-0e8e-5b9e-a375-d1c2a8159ff0"
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},
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{
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"name": "Start clock",
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"parameters": {
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"jsCode": "return [{ json: { t: Date.now() } }];"
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},
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"position": [
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440,
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300
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],
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"id": "34e026d9-8555-5c58-98bc-0c8cb3433674"
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},
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{
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"name": "Classify",
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"type": "@n8n/n8n-nodes-langchain.agent",
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"typeVersion": 3.1,
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"parameters": {
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"promptType": "define",
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"text": "={{ $('Question webhook').first().json.body.question }}",
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"options": {
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"systemMessage": "You sort one company IT help-desk question. Categories: faq (how to fix or use something: password, account lock, VPN, printer, mail box, software install), ticket (asks about the status of an IT request ticket like T-1002), other (anything else). Return only JSON, no code fence: {\"category\": \"faq\"}",
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"maxIterations": 1
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}
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},
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"position": [
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660,
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300
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],
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"id": "8ed1076b-57e7-5692-a07b-0dfc406d717d"
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},
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{
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"name": "Classify model",
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"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
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"typeVersion": 1.2,
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"parameters": {
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"model": {
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"__rl": true,
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"mode": "id",
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"value": "gpt-4.1-mini"
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},
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"options": {
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"temperature": 0
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}
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},
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"credentials": {
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"openAiApi": {
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"id": "openAiCourse0001",
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"name": "OpenAI (.env)"
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}
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},
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"position": [
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660,
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520
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],
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"id": "115afa58-b938-5f5f-aa27-b90886caafef"
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},
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{
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"name": "Parse category",
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"parameters": {
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"jsCode": "const raw = String($json.output ?? '').trim().replace(/^```(json)?\\s*|```$/g, '');\nlet category = 'other';\ntry { category = JSON.parse(raw).category ?? 'other'; } catch (error) { category = 'other'; }\nif (!['faq', 'ticket', 'other'].includes(category)) category = 'other';\nreturn [{ json: { category, by: 'llm' } }];"
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},
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"position": [
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880,
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300
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],
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"id": "e3a4245a-0d3e-52f9-8bba-fac408559c43"
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},
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{
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"name": "After classify",
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"parameters": {
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"jsCode": "return [{ json: { ...$json, t: Date.now() } }];"
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},
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"position": [
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1100,
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300
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],
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"id": "6367ccc8-0f9a-53b5-ab75-b5b97411bcf4"
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},
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{
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"name": "Search FAQ",
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"type": "n8n-nodes-base.httpRequest",
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"typeVersion": 4.2,
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"parameters": {
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"url": "http://data-api:8800/faq",
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"options": {},
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"sendQuery": true,
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"queryParameters": {
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"parameters": [
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{
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"name": "q",
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"value": "={{ $('Question webhook').first().json.body.question }}"
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}
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]
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}
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},
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"position": [
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1320,
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300
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],
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"id": "e9049433-bf26-5f16-9025-ee8e45168e66"
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},
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{
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"name": "Get ticket",
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"type": "n8n-nodes-base.httpRequest",
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"typeVersion": 4.2,
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"parameters": {
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"url": "=http://data-api:8800/tickets/{{ (($('Question webhook').first().json.body.question.match(/T-?\\d{4}/i) || ['NONE'])[0]).toUpperCase().replace(/^T(\\d)/, 'T-$1') }}",
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"options": {
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"response": {
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"response": {
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"neverError": true
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}
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}
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},
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"sendQuery": true,
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"queryParameters": {
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"parameters": [
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{
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"name": "requester",
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"value": "={{ $('Question webhook').first().json.body.user ?? '' }}"
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}
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]
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}
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},
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"position": [
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1540,
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300
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],
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"id": "015582e0-c7ba-5450-afdb-31fe69bd4ed0"
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},
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{
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"name": "After data",
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"parameters": {
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"jsCode": "return [{ json: { ...$json, t: Date.now() } }];"
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},
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"position": [
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1760,
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300
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],
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"id": "724f4528-be4b-5a27-95fa-dc4cbe9adc54"
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},
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{
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"name": "Answer",
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"type": "@n8n/n8n-nodes-langchain.agent",
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"typeVersion": 3.1,
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"parameters": {
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"promptType": "define",
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"text": "=질문: {{ $('Question webhook').first().json.body.question }}\n분류: {{ $('Parse category').first().json.category }}\nFAQ: {{ JSON.stringify($('Search FAQ').first().json.results ?? []) }}\n접수 건: {{ JSON.stringify($('Get ticket').first().json) }}",
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"options": {
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"systemMessage": "You are the company IT help desk. Answer in Korean in at most 3 sentences, using only the FAQ entries and the ticket record given. Never invent steps, dates or names. For a ticket, say its status and note. If the data does not answer the question, say \"찾지 못했습니다\" and that a staff member will help.",
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"maxIterations": 1
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}
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},
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"position": [
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1980,
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300
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],
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"id": "73f8249d-0f63-5a27-ba24-7c0160dd4f37"
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},
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{
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"name": "Answer model",
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"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
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"typeVersion": 1.2,
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"parameters": {
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"model": {
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"__rl": true,
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"mode": "id",
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"value": "gpt-4.1-mini"
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},
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"options": {
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"temperature": 0
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}
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},
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"credentials": {
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"openAiApi": {
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"id": "openAiCourse0001",
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"name": "OpenAI (.env)"
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}
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},
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"position": [
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1980,
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520
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],
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"id": "253ae3fd-037d-50f8-a521-974f74f1ea02"
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},
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{
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"name": "After answer",
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"parameters": {
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"jsCode": "return [{ json: { ...$json, t: Date.now() } }];"
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},
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"position": [
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2200,
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300
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],
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"id": "c91805b8-8a84-5d53-8ef1-24f414f43b4f"
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},
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{
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"name": "Review",
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"type": "@n8n/n8n-nodes-langchain.agent",
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"typeVersion": 3.1,
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"parameters": {
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"promptType": "define",
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"text": "=초안: {{ $('Answer').first().json.output }}",
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"options": {
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"systemMessage": "You review a Korean IT help-desk answer before it is sent. Keep the facts exactly. Make it polite (합니다체), remove anything not supported by the data, keep at most 3 sentences. Return only the final answer text.",
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"maxIterations": 1
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}
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},
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"position": [
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2420,
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300
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],
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"id": "58a6606c-b82d-585d-98c2-ad0b50d978d2"
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},
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{
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"name": "Review model",
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"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
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"typeVersion": 1.2,
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"parameters": {
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"model": {
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"__rl": true,
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"mode": "id",
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"value": "gpt-4.1-mini"
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},
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"options": {
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"temperature": 0
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}
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},
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"credentials": {
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"openAiApi": {
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"id": "openAiCourse0001",
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"name": "OpenAI (.env)"
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}
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},
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"position": [
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2420,
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520
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],
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"id": "9738bf2a-5100-51be-ab12-e932ef259273"
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},
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{
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"name": "After review",
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"parameters": {
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"jsCode": "return [{ json: { ...$json, t: Date.now() } }];"
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},
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"position": [
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2640,
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300
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],
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"id": "aafed179-dfd6-5b4d-affa-ba03915a19bf"
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},
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{
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"name": "Build result",
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"parameters": {
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"jsCode": "const ran = (name) => { try { return $(name).isExecuted; } catch (error) { return false; } };\nconst body = $('Question webhook').first().json.body;\nconst category = $('Parse category').first().json.category;\nconst answer = String($('Review').first().json.output ?? '').trim();\nconst results = $('Search FAQ').first().json.results ?? [];\nconst sources = category === 'faq' ? results.map((r) => r.id) : [];\nconst steps = [];\nif (ran('Rule classify')) steps.push('rule');\nif (ran('Classify')) steps.push('classify');\nsteps.push('faq', 'ticket', 'answer');\nsteps.push('review');\nconst llm_calls = (ran('Classify') ? 1 : 0) + 1 + 1;\nconst result = { route: '자동 답변', category, answer, sources };\nconst t = (name) => (ran(name) ? $(name).first().json.t : null);\nconst t0 = t('Start clock');\nconst marks = [['classify', t('After classify')], ['data', t('After data')], ['answer', t('After answer')], ['review', t('After review')]];\nconst timings = {};\nlet last = t0;\nfor (const [label, mark] of marks) {\n if (mark === null) continue;\n timings[`${label}_ms`] = mark - last;\n last = mark;\n}\ntimings.total_ms = Date.now() - t0;\nObject.assign(result, { llm_calls, cached: false, steps, timings });\nreturn [{ json: result }];"
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},
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"position": [
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2860,
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300
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],
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"id": "4da41b13-2fc9-5423-a782-fb61727ea33a"
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},
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{
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"name": "Send result",
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"type": "n8n-nodes-base.respondToWebhook",
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"typeVersion": 1.1,
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"parameters": {
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"respondWith": "json",
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"responseBody": "={{ $json }}",
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"options": {}
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},
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"position": [
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3080,
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300
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],
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"id": "2fa9e489-3282-5de4-9c91-f536e53b568a"
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}
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],
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"connections": {
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"Question webhook": {
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"main": [
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[
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{
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"node": "Has question?",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Has question?": {
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"main": [
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[
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{
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"node": "Start clock",
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"type": "main",
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"index": 0
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}
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],
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[
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{
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"node": "Reject empty",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Start clock": {
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"main": [
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[
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{
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"node": "Classify",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Classify model": {
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"ai_languageModel": [
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[
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{
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"node": "Classify",
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"type": "ai_languageModel",
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"index": 0
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}
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]
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]
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},
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"Classify": {
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"main": [
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[
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{
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"node": "Parse category",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Parse category": {
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"main": [
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[
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{
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"node": "After classify",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"After classify": {
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"main": [
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[
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{
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"node": "Search FAQ",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Search FAQ": {
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"main": [
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[
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{
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"node": "Get ticket",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Get ticket": {
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"main": [
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[
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{
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"node": "After data",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"After data": {
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"main": [
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[
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{
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"node": "Answer",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Answer model": {
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"ai_languageModel": [
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[
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{
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"node": "Answer",
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"type": "ai_languageModel",
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"index": 0
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}
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]
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]
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},
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"Answer": {
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"main": [
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[
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{
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"node": "After answer",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"After answer": {
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"main": [
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[
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{
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"node": "Review",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Review model": {
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"ai_languageModel": [
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[
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{
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"node": "Review",
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"type": "ai_languageModel",
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"index": 0
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}
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]
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]
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},
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"Review": {
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"main": [
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[
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{
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"node": "After review",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"After review": {
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"main": [
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[
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{
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"node": "Build result",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Build result": {
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"main": [
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[
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{
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"node": "Send result",
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"type": "main",
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"index": 0
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}
|
|
]
|
|
]
|
|
}
|
|
},
|
|
"settings": {
|
|
"executionOrder": "v1"
|
|
}
|
|
}
|