637 lines
16 KiB
JSON
637 lines
16 KiB
JSON
 
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{
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"name": "72 IT helpdesk + rules first (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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300
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],
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"id": "943597e2-d5eb-5f3c-b36b-f18ee54db8d7"
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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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],
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"id": "ca5c79c8-323b-5eac-b1c7-50d7383f1fc5"
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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": "030b2d85-73de-567f-95ce-d25c8729794d"
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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": "2240260c-639c-501a-9347-9da083549304"
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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": "={{ $('Question webhook').first().json.body.question }}"
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}
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]
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}
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},
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"position": [
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660,
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300
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],
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"id": "aabca858-7174-5c55-b7f5-ae3ab4e6a565"
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},
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{
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"name": "Get ticket",
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"type": "n8n-nodes-base.httpRequest",
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"typeVersion": 4.2,
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"parameters": {
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"url": "=http://data-api:8800/tickets/{{ (($('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": "={{ $('Question webhook').first().json.body.user ?? '' }}"
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}
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]
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}
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},
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"position": [
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880,
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300
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],
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"id": "92beb818-7b68-528c-9d35-f1c1645ea215"
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},
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{
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"name": "After data",
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"parameters": {
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"jsCode": "return [{ json: { ...$json, t: Date.now() } }];"
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},
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"position": [
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1100,
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300
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],
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"id": "dbf68168-4cb7-55db-8ba9-9752ff11f684"
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},
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{
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"name": "Rule 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": "const question = String($('Question webhook').first().json.body.question ?? '');\nconst results = $('Search FAQ').first().json.results ?? [];\nlet category = 'unknown';\nif (/T-?\\d{4}/i.test(question)) category = 'ticket';\nelse if (results.length > 0) category = 'faq';\nreturn [{ json: { category, by: 'rule' } }];"
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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": "36d285f0-4fb3-5697-9053-5ae5e3e8d0b1"
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},
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{
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"name": "Known?",
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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.category }}",
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"rightValue": "unknown",
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"operator": {
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"type": "string",
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"operation": "notEquals"
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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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300
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],
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"id": "fd83a3d5-bc74-5739-8185-1924a7939ed8"
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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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1760,
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300
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],
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"id": "63d9e328-246e-5bd4-9596-40e9b9715464"
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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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1760,
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520
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],
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"id": "8aabd2dc-204a-5730-9633-1bd0858969ba"
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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*|```$/g, '');\nlet category = 'other';\ntry { category = JSON.parse(raw).category ?? 'other'; } catch (error) { category = 'other'; }\nif (!['faq', 'ticket', 'other'].includes(category)) category = 'other';\nreturn [{ json: { category, by: 'llm' } }];"
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},
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"position": [
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1980,
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300
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],
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"id": "1150b73c-a088-5d4f-ac61-38faec69bc23"
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},
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{
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"name": "After classify",
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"parameters": {
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"jsCode": "return [{ json: { ...$json, t: Date.now() } }];"
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},
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"position": [
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2200,
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300
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],
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"id": "337a90fe-b0bf-5e29-82ec-c1178ec1eeec"
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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: {{ $json.category }}\nFAQ: {{ JSON.stringify($('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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2420,
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300
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],
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"id": "e23b0a82-1cb0-50e9-bf9c-ea5eb3b053f9"
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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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2420,
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520
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],
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"id": "ce2907bb-2524-54e7-9e0a-92bed701764f"
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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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2640,
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300
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],
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"id": "a0321f1e-05f2-5e4f-b7cf-f0eb06eaf0f1"
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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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|
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2860,
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|
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300
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],
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"id": "5ee9442d-00be-5492-83bb-a99147e6e282"
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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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|
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2860,
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|
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520
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],
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"id": "b496eea1-f048-550c-9893-515dcc94c84e"
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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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||
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"parameters": {
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||
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"jsCode": "return [{ json: { ...$json, t: Date.now() } }];"
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||
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},
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||
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"position": [
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||
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3080,
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||
|
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300
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],
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|
|
"id": "c955c14a-8a9b-538f-94db-27d3fd579751"
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"name": "Build result",
|
||
|
|
"type": "n8n-nodes-base.code",
|
||
|
|
"typeVersion": 2,
|
||
|
|
"parameters": {
|
||
|
|
"jsCode": "const ran = (name) => { try { return $(name).isExecuted; } catch (error) { return false; } };\nconst body = $('Question webhook').first().json.body;\nconst category = $('Parse category').isExecuted ? $('Parse category').first().json.category : $('Rule classify').first().json.category;\nconst answer = String($('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) ? $(name).first().json.t : null);\nconst t0 = t('Start clock');\nconst marks = [['data', t('After data')], ['classify', t('After classify')], ['answer', t('After answer')], ['review', t('After review')]];\nconst timings = {};\nlet last = t0;\nfor (const [label, mark] of marks) {\n if (mark === null) continue;\n timings[`${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 }];"
|
||
|
|
},
|
||
|
|
"position": [
|
||
|
|
3300,
|
||
|
|
300
|
||
|
|
],
|
||
|
|
"id": "185dc7f9-4954-5cef-ba24-f45145bd192a"
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"name": "Send result",
|
||
|
|
"type": "n8n-nodes-base.respondToWebhook",
|
||
|
|
"typeVersion": 1.1,
|
||
|
|
"parameters": {
|
||
|
|
"respondWith": "json",
|
||
|
|
"responseBody": "={{ $json }}",
|
||
|
|
"options": {}
|
||
|
|
},
|
||
|
|
"position": [
|
||
|
|
3520,
|
||
|
|
300
|
||
|
|
],
|
||
|
|
"id": "4dd5ed77-a95a-5969-a9f7-78ab7d32fb21"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"connections": {
|
||
|
|
"Question webhook": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Has question?",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Has question?": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Start clock",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
],
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Reject empty",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Start clock": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Search FAQ",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Search FAQ": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Get ticket",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Get ticket": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "After data",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"After data": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Rule classify",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Rule classify": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Known?",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Known?": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Answer",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
],
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Classify",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Classify model": {
|
||
|
|
"ai_languageModel": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Classify",
|
||
|
|
"type": "ai_languageModel",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Classify": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Parse category",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Parse category": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "After classify",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"After classify": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Answer",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Answer model": {
|
||
|
|
"ai_languageModel": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Answer",
|
||
|
|
"type": "ai_languageModel",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Answer": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "After answer",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"After answer": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Review",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Review model": {
|
||
|
|
"ai_languageModel": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Review",
|
||
|
|
"type": "ai_languageModel",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Review": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "After review",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"After review": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Build result",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Build result": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Send result",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"settings": {
|
||
|
|
"executionOrder": "v1"
|
||
|
|
}
|
||
|
|
}
|