586 lines
15 KiB
JSON
586 lines
15 KiB
JSON
 
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{
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"name": "72 IT helpdesk + time budget (answer)",
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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": "f7a423a6-a6a2-57a3-954f-e8540a1ce022"
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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": "6dce76b0-2dd0-5181-99be-b0b894c87c8b"
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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": "75371917-2483-583e-9135-5c663a18b08b"
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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": "34377f95-81c5-5aa3-9e2c-6b63a8e5ae54"
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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": "7a93b236-dbff-52c5-9397-61087bc0688d"
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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": "357e7611-4597-5ba3-a6ba-9a4d4d63cda7"
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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*|```$/g, '');\nlet category = 'other';\ntry { category = JSON.parse(raw).category ?? 'other'; } catch (error) { category = 'other'; }\nif (!['faq', 'ticket', 'other'].includes(category)) category = 'other';\nreturn [{ json: { category, by: 'llm' } }];"
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},
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"position": [
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880,
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300
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],
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"id": "9327634c-6764-5403-b7bc-3e666e7ae3d6"
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},
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{
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"name": "After classify",
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"parameters": {
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"jsCode": "return [{ json: { ...$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": "8f3da4f6-ce34-5505-b543-e5d68d990a96"
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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": "={{ $('Question webhook').first().json.body.question }}"
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}
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]
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}
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},
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"position": [
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1320,
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300
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],
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"id": "103c6254-01ea-5e80-81bb-7e3b9ea7beb5"
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},
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{
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"name": "After FAQ",
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"parameters": {
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"jsCode": "return [{ json: { ...$json, t: Date.now() } }];"
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},
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"position": [
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1540,
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300
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],
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"id": "d03181b0-715d-5fae-98a0-92c52a2b3b3c"
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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": "={{ $('Question webhook').first().json.body.user ?? '' }}"
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}
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]
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}
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},
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"position": [
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1760,
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300
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],
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"id": "f20b5c78-0224-5d55-8d77-0a9e98061a6b"
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},
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{
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"name": "After data",
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"parameters": {
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"jsCode": "return [{ json: { ...$json, t: Date.now() } }];"
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},
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"position": [
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1980,
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300
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],
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"id": "cca89aef-ef17-5b5f-a3c3-a53e0d762b43"
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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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2200,
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300
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],
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"id": "d7ec1c62-265f-5d16-b67a-c5922305bb8a"
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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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2200,
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520
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],
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"id": "5c7f8b81-cd4c-59a2-9899-9bdb4813f7ab"
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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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2420,
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300
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],
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"id": "43dab328-4901-5fd6-8238-6e0f836cc31d"
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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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2640,
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300
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],
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"id": "a4583946-f582-5ad8-963b-b866b74e9ba4"
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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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2640,
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520
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],
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"id": "3be9acc9-4b3d-5a41-b6a4-00fa1b04d777"
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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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2860,
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300
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],
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"id": "d07d9992-7e5e-5aab-b925-9387021bbaff"
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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) ? $(name).first().json.t : null);\nconst t0 = t('Start clock');\nconst marks = [['classify', t('After classify')], ['faq', t('After FAQ')], ['ticket', t('After data')], ['answer', t('After answer')], ['review', t('After review')]];\nconst timings = {};\nlet last = t0;\nfor (const [label, mark] of marks) {\n if (mark === null) continue;\n timings[`${label}_ms`] = mark - last;\n last = mark;\n}\ntimings.total_ms = Date.now() - t0;\nObject.assign(result, { llm_calls, cached: false, steps, timings });\nconst parts = Object.entries(timings).filter(([key]) => key !== 'total_ms');\nresult.slowest_step = parts.sort((a, b) => b[1] - a[1])[0][0].replace(/_ms$/, '');\nconst budget_ms = Number(body.budget_ms ?? 3000);\nresult.llm_ms = ['classify', 'answer', 'review'].reduce((sum, label) => sum + (timings[`${label}_ms`] ?? 0), 0);\nresult.budget_ms = budget_ms;\nresult.over_budget = timings.total_ms > budget_ms;\nreturn [{ json: result }];"
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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": "079e44f0-da3e-57dd-be6a-87025b6a320f"
|
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},
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{
|
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|
"name": "Send result",
|
||
|
|
"type": "n8n-nodes-base.respondToWebhook",
|
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|
"typeVersion": 1.1,
|
||
|
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"parameters": {
|
||
|
|
"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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3300,
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300
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],
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"id": "8ac7b99c-d9fa-5a1e-a168-33eb7ab5e2a3"
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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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|
|
],
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Reject empty",
|
||
|
|
"type": "main",
|
||
|
|
"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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},
|
||
|
|
"Classify model": {
|
||
|
|
"ai_languageModel": [
|
||
|
|
[
|
||
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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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},
|
||
|
|
"Classify": {
|
||
|
|
"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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|
{
|
||
|
|
"node": "After classify",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
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]
|
||
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]
|
||
|
|
},
|
||
|
|
"After classify": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Search FAQ",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
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]
|
||
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]
|
||
|
|
},
|
||
|
|
"Search FAQ": {
|
||
|
|
"main": [
|
||
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|
[
|
||
|
|
{
|
||
|
|
"node": "After FAQ",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"After FAQ": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Get ticket",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Get ticket": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "After data",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"After data": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Answer",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
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]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"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"
|
||
|
|
}
|
||
|
|
}
|