852 lines
21 KiB
JSON
852 lines
21 KiB
JSON
 
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{
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"name": "72 IT helpdesk + one LLM call (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": "4a893fec-ca3a-5349-a7b1-a8de0ac4350c"
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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": "da287ac6-5b2c-5d11-a358-2c0d575d61ce"
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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": "049a20b6-3c29-5159-a0e6-f5617cf9d8d9"
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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": "3b52fb72-af9e-54d9-8928-a1f87966b69f"
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},
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{
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"name": "Cache key",
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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 body = $('Question webhook').first().json.body;\nconst key = String(body.question ?? '').trim().toLowerCase().replace(/\\s+/g, ' ');\nreturn [{ json: { ...$json, key, use_cache: body.no_cache !== true } }];"
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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": "1aed5faa-1a89-578c-8093-61fe2e9a2555"
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},
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{
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"name": "Cache lookup",
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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/cache/{{ encodeURIComponent($json.key) }}",
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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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},
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"position": [
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880,
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300
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],
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"id": "33b97251-cad7-50a2-805b-ecc7d70001de"
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},
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{
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"name": "Cached?",
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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.value !== undefined && $('Cache key').first().json.use_cache }}",
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"rightValue": "",
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"operator": {
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"type": "boolean",
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"operation": "true",
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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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1100,
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300
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],
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"id": "7ad20324-27b3-5f30-9637-a4fa4d977a53"
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},
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{
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"name": "Cached 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 value = $json.value;\nconst t0 = $('Start clock').first().json.t;\nreturn [{ json: { route: value.route, category: value.category, answer: value.answer, sources: value.sources ?? [],\n llm_calls: 0, cached: true, steps: ['cache'], timings: { total_ms: t0 ? Date.now() - t0 : 0 } } }];"
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},
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"position": [
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1320,
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40
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],
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"id": "b102773a-d6b3-5fd8-9ada-e250f648cc44"
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},
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{
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"name": "Send cached",
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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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1540,
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40
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],
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"id": "ff6ce5c6-903d-53f6-96f7-a17baabcc1b6"
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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": "={{ $('Question webhook').first().json.body.question }}"
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}
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]
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}
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},
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"position": [
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1320,
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300
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],
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"id": "0e3e780d-eaa1-5c13-a60a-f3112a296820"
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},
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{
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"name": "Get ticket",
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"type": "n8n-nodes-base.httpRequest",
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"typeVersion": 4.2,
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"parameters": {
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"url": "=http://data-api:8800/tickets/{{ (($('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": "={{ $('Question webhook').first().json.body.user ?? '' }}"
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}
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]
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}
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},
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"position": [
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1540,
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300
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],
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"id": "f345aacb-db55-5226-bf79-822fd2f814ca"
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},
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{
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"name": "After data",
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"parameters": {
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"jsCode": "return [{ json: { ...$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": "4c8c6887-4a50-589b-abdf-c8741f1cf589"
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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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1980,
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300
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],
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"id": "b01cd9fc-72fc-5ace-860b-6d607bf1e570"
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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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2200,
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300
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],
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"id": "2d154b76-eb12-5038-a639-c5608c6bf788"
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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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},
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"position": [
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2420,
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300
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],
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"id": "8ba05958-c916-52e4-95ef-0f38f92246c3"
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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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|
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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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2420,
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520
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],
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"id": "14555336-1d5b-5860-98cc-cc7febd5fdab"
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},
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|
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{
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"name": "Parse category",
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|
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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*|```$/g, '');\nlet category = 'other';\ntry { category = JSON.parse(raw).category ?? 'other'; } catch (error) { category = 'other'; }\nif (!['faq', 'ticket', 'other'].includes(category)) category = 'other';\nreturn [{ json: { category, by: 'llm' } }];"
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},
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|
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"position": [
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|
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2640,
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|
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300
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|
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],
|
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"id": "53522d0c-94f5-5e97-84ca-dfc99cbea797"
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||
|
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},
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||
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{
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"name": "After classify",
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"parameters": {
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"jsCode": "return [{ json: { ...$json, t: Date.now() } }];"
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},
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"position": [
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||
|
|
2860,
|
||
|
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300
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||
|
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],
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|
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"id": "ed776d70-2fb9-5b97-86c8-aa43796e8cb3"
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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($('Get ticket').first().json) }}",
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"options": {
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"systemMessage": "You are the company IT help desk. Answer in Korean in at most 3 sentences, using only the FAQ entries and the ticket record given. Never invent steps, dates or names. For a ticket, say its status and note. If the data does not answer the question, say \"찾지 못했습니다\" and that a staff member will help.",
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||
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"maxIterations": 1
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||
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}
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||
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},
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||
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"position": [
|
||
|
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3080,
|
||
|
|
300
|
||
|
|
],
|
||
|
|
"id": "3cd227a5-1bb5-50e6-9402-69206c7ca546"
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"name": "Answer model",
|
||
|
|
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
|
||
|
|
"typeVersion": 1.2,
|
||
|
|
"parameters": {
|
||
|
|
"model": {
|
||
|
|
"__rl": true,
|
||
|
|
"mode": "id",
|
||
|
|
"value": "gpt-4.1-mini"
|
||
|
|
},
|
||
|
|
"options": {
|
||
|
|
"temperature": 0
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"credentials": {
|
||
|
|
"openAiApi": {
|
||
|
|
"id": "openAiCourse0001",
|
||
|
|
"name": "OpenAI (.env)"
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"position": [
|
||
|
|
3080,
|
||
|
|
520
|
||
|
|
],
|
||
|
|
"id": "f3dad63e-7b9c-5d29-b79e-077754d581b7"
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"name": "After answer",
|
||
|
|
"type": "n8n-nodes-base.code",
|
||
|
|
"typeVersion": 2,
|
||
|
|
"parameters": {
|
||
|
|
"jsCode": "return [{ json: { ...$json, t: Date.now() } }];"
|
||
|
|
},
|
||
|
|
"position": [
|
||
|
|
3300,
|
||
|
|
300
|
||
|
|
],
|
||
|
|
"id": "0432c08a-5b0d-5d75-8e06-eab20db15ab1"
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"name": "Review check",
|
||
|
|
"type": "n8n-nodes-base.code",
|
||
|
|
"typeVersion": 2,
|
||
|
|
"parameters": {
|
||
|
|
"jsCode": "let answer = String($('Answer').first().json.output ?? '').trim();\nconst problems = [];\nif (!answer) problems.push('empty');\nif (!/[가-힣]/.test(answer)) problems.push('not_korean');\nif (answer.length > 400) { answer = answer.slice(0, 400); problems.push('too_long'); }\nreturn [{ json: { ...$json, answer, review_problems: problems } }];"
|
||
|
|
},
|
||
|
|
"position": [
|
||
|
|
3520,
|
||
|
|
300
|
||
|
|
],
|
||
|
|
"id": "c2d5b0e4-e7e1-5972-8b49-d2aa51694714"
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"name": "After review",
|
||
|
|
"type": "n8n-nodes-base.code",
|
||
|
|
"typeVersion": 2,
|
||
|
|
"parameters": {
|
||
|
|
"jsCode": "return [{ json: { ...$json, t: Date.now() } }];"
|
||
|
|
},
|
||
|
|
"position": [
|
||
|
|
3740,
|
||
|
|
300
|
||
|
|
],
|
||
|
|
"id": "f031c87a-b44b-55fa-a122-05d93f51fa6e"
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"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 = $('Review check').first().json.answer;\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('check');\nconst llm_calls = (ran('Classify') ? 1 : 0) + 1 + 0;\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": [
|
||
|
|
3960,
|
||
|
|
300
|
||
|
|
],
|
||
|
|
"id": "fc92aa99-281c-5e7a-96fb-6868624c4f34"
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"name": "Cache it?",
|
||
|
|
"type": "n8n-nodes-base.if",
|
||
|
|
"typeVersion": 2.2,
|
||
|
|
"parameters": {
|
||
|
|
"conditions": {
|
||
|
|
"options": {
|
||
|
|
"caseSensitive": true,
|
||
|
|
"leftValue": "",
|
||
|
|
"typeValidation": "loose",
|
||
|
|
"version": 2
|
||
|
|
},
|
||
|
|
"conditions": [
|
||
|
|
{
|
||
|
|
"id": "c1",
|
||
|
|
"leftValue": "={{ $json.category === 'faq' && $('Cache key').first().json.use_cache }}",
|
||
|
|
"rightValue": "",
|
||
|
|
"operator": {
|
||
|
|
"type": "boolean",
|
||
|
|
"operation": "true",
|
||
|
|
"singleValue": true
|
||
|
|
}
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"combinator": "and"
|
||
|
|
},
|
||
|
|
"options": {}
|
||
|
|
},
|
||
|
|
"position": [
|
||
|
|
4180,
|
||
|
|
300
|
||
|
|
],
|
||
|
|
"id": "f14260a7-8d0f-5916-a219-c233bc484860"
|
||
|
|
},
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||
|
|
{
|
||
|
|
"name": "Store in cache",
|
||
|
|
"type": "n8n-nodes-base.httpRequest",
|
||
|
|
"typeVersion": 4.2,
|
||
|
|
"parameters": {
|
||
|
|
"url": "=http://data-api:8800/cache/{{ encodeURIComponent($('Cache key').first().json.key) }}",
|
||
|
|
"options": {
|
||
|
|
"response": {
|
||
|
|
"response": {
|
||
|
|
"neverError": true
|
||
|
|
}
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"method": "POST",
|
||
|
|
"sendBody": true,
|
||
|
|
"specifyBody": "json",
|
||
|
|
"jsonBody": "={{ JSON.stringify({ value: { route: $json.route, category: $json.category, answer: $json.answer, sources: $json.sources }, ttl: 600 }) }}"
|
||
|
|
},
|
||
|
|
"position": [
|
||
|
|
4400,
|
||
|
|
180
|
||
|
|
],
|
||
|
|
"id": "8c73289d-f4b4-50c2-a71e-229d368e7b39"
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"name": "Result again",
|
||
|
|
"type": "n8n-nodes-base.code",
|
||
|
|
"typeVersion": 2,
|
||
|
|
"parameters": {
|
||
|
|
"jsCode": "return [{ json: $('Build result').first().json }];"
|
||
|
|
},
|
||
|
|
"position": [
|
||
|
|
4620,
|
||
|
|
180
|
||
|
|
],
|
||
|
|
"id": "4033230f-4e3a-515a-a980-ed987bc3372e"
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"name": "Send result",
|
||
|
|
"type": "n8n-nodes-base.respondToWebhook",
|
||
|
|
"typeVersion": 1.1,
|
||
|
|
"parameters": {
|
||
|
|
"respondWith": "json",
|
||
|
|
"responseBody": "={{ $json }}",
|
||
|
|
"options": {}
|
||
|
|
},
|
||
|
|
"position": [
|
||
|
|
4840,
|
||
|
|
300
|
||
|
|
],
|
||
|
|
"id": "43408f1e-819c-54ef-bb7b-7039f738e6f1"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"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": "Cache key",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Cache key": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Cache lookup",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Cache lookup": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Cached?",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Cached?": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Cached result",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
],
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Search FAQ",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Cached result": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Send cached",
|
||
|
|
"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 check",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Review check": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "After review",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"After review": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Build result",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Build result": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Cache it?",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Cache it?": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Store in cache",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
],
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Send result",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Store in cache": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Result again",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Result again": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Send result",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"settings": {
|
||
|
|
"executionOrder": "v1"
|
||
|
|
}
|
||
|
|
}
|