523 lines
15 KiB
JSON
523 lines
15 KiB
JSON
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{
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"name": "79 Ops ask + LLM router (answer)",
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"nodes": [
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{
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"name": "Ask 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-ops-ask",
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"responseMode": "responseNode",
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"options": {}
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},
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"webhookId": "e0cc9a1d-38cf-580a-b52e-3f6d8bb1cab2",
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"position": [
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0,
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300
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],
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"id": "a2d5e198-0074-5f7f-9cd6-5203c98b0bb1"
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},
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{
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"name": "Route",
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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 q = String($('Ask webhook').first().json.body?.question ?? '').trim();\nconst lower = q.toLowerCase();\nconst words = {\n runs: ['오류', '에러', '실패율', '느려', '느린', '응답 시간', 'p95', '실행'],\n alerts: ['알림', '경보'],\n dlq: ['dlq', '재처리', '쌓인', 'parked', '접수 실패'],\n quality: ['품질', '배치', '격리'],\n cost: ['비용', '돈', '예산', '토큰', '요금'],\n release: ['릴리스', '버전', '카나리', '배포'],\n overview: ['괜찮', '상태', '요약', '전체', '브리핑'],\n};\nconst action = /(다시 돌려|재처리해|지워|삭제해|꺼 ?줘|켜 ?줘|배포해|되돌려|롤백해|바꿔 ?줘|올려 ?줘|내려 ?줘|비워 ?줘)/.test(q);\nif (action) return [{ json: { question: q, area: 'action', router: 'keyword' } }];\nlet area = 'unknown', best = 0;\nfor (const [k, list] of Object.entries(words)) {\n const n = list.filter((w) => lower.includes(w)).length;\n if (n > best) { best = n; area = k; }\n}\nreturn [{ json: { question: q, area, router: 'keyword' } }];"
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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": "a5744b67-3600-5a8a-8607-d6c0896313f1"
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},
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{
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"name": "Action?",
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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.area === 'action' }}",
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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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440,
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300
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],
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"id": "48f78459-b87c-527d-a569-b3e753e4c0d4"
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},
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{
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"name": "Refuse action",
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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.stringify({ question: $json.question, area: 'action', router: $json.router, refused: true, reason: 'read_only', answer: '운영 도우미는 읽기만 합니다. 재처리 · 삭제 · 배포 같은 작업은 런북에 따라 담당자가 직접 해 주세요.' }) }}",
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"options": {}
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},
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"position": [
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660,
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560
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],
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"id": "6ede178d-153c-53d7-a773-9b2bda2af049"
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},
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{
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"name": "Keyword hit?",
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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.area !== 'unknown' }}",
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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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660,
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300
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],
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"id": "bd2aea65-6cee-5229-b19a-5ec357ba6bc1"
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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": "={{ $json.question }}",
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"options": {
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"systemMessage": "Classify an IT helpdesk operator's question (Korean) into one area of the operations data. Areas: runs (helpdesk runs: errors, failures, slowness, response time / 실행 · 오류 · 느림), alerts (alert messages / 알림), dlq (intake items that failed and wait for replay / 접수 못 한 것 · 남은 것 · 재처리 대기), quality (FAQ data batches, quality scores, quarantine / 데이터 품질 · FAQ 배치 · 격리), cost (LLM spending, money, budget, tokens / 비용 · 돈 · 지출 · 얼마 나갔나), release (versions, canary, rollout to some users / 버전 · 새 판 · 일부에게 먼저 내보냄), overview (is everything ok, general status), none (anything not about operating the helpdesk). Reply with only the area word.",
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"maxIterations": 1
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}
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},
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"onError": "continueRegularOutput",
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"position": [
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880,
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140
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],
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"id": "6747acdd-c6b6-54a5-9707-f995bcf54be6"
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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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880,
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-60
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],
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"id": "9e1b1e99-9563-50eb-ae41-edba7312bd00"
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},
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{
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"name": "Read class",
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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 r = $('Route').first().json;\nconst word = String($json.output ?? '').trim().toLowerCase().replace(/[^a-z]/g, '');\nconst known = ['runs', 'alerts', 'dlq', 'quality', 'cost', 'release', 'overview'];\nreturn [{ json: { ...r, area: known.includes(word) ? word : 'unknown', router: 'llm' } }];"
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},
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"position": [
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1100,
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140
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],
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"id": "a36bcee6-b885-5021-9b88-5321ed56c3b4"
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},
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{
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"name": "Routed",
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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: $input.first().json }];"
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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": "db234186-80da-5094-9fdc-9b85b9fffd56"
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},
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{
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"name": "Known area?",
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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.area !== 'unknown' }}",
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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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1540,
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300
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],
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"id": "a904a046-a9d2-5f43-bc24-45c10bb803fb"
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},
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{
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"name": "Out of scope",
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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.stringify({ question: $json.question, area: 'unknown', router: $json.router, refused: true, reason: 'out_of_scope', answer: '운영 데이터(실행 · 알림 · DLQ · 품질 · 비용 · 릴리스)로 답할 수 있는 질문만 받습니다.' }) }}",
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"options": {}
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},
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"position": [
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1760,
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560
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],
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"id": "047a7d3f-bc56-5a24-ae65-8b2143880a44"
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},
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{
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"name": "Get facts",
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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://localhost:5678/webhook/my-ops-facts",
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"options": {
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"timeout": 30000
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},
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"method": "POST",
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"sendBody": true,
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"specifyBody": "json",
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"jsonBody": "={{ JSON.stringify({ from: $('Ask webhook').first().json.body?.from ?? '', to: $('Ask webhook').first().json.body?.to ?? '' }) }}"
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},
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"position": [
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1760,
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|
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300
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],
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"id": "adea6e67-7abd-55a9-8659-98b7e285cce3"
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},
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{
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"name": "Pick facts",
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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 r = $('Routed').first().json;\nconst f = $('Get facts').first().json;\nconst part = r.area === 'overview' ? f : { period: f.period, [r.area]: f[r.area], ...(f.health ? { health: f.health[r.area] } : {}) };\nreturn [{ json: { ...r, facts: part } }];"
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},
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"position": [
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1980,
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|
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300
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|
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],
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"id": "7550791a-4b6c-57a0-82a8-1f97ab9dbe79"
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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: {{ $json.question }}\n사실(JSON): {{ JSON.stringify($json.facts) }}",
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"options": {
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"systemMessage": "You are the operations assistant of a company IT helpdesk team. Answer the operator's question in Korean, 2-3 sentences, using only the facts JSON you are given. Use only numbers that appear in the facts (a ratio like 0.0588 may be written as 5.88%). Do not guess causes that are not in the facts. Do not offer to run any action; you can only read.",
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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": "83bb5d6e-92c7-5d43-bc11-78f9d4b23568"
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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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|
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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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|
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520
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],
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"id": "3e644835-aa33-5c70-b0aa-c18d300579b3"
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},
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{
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"name": "Check numbers",
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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 r = $('Pick facts').first().json;\nconst answer = String($json.output ?? '').trim();\nconst allowed = new Set();\nconst add = (v) => { for (const d of [0, 1, 2, 3, 4, 6]) allowed.add(Number(v.toFixed(d))); };\nconst walk = (v) => {\n if (typeof v === 'number') { add(v); add(v * 100); }\n else if (typeof v === 'string') { for (const m of v.match(/\\d+(?:\\.\\d+)?/g) ?? []) add(Number(m)); }\n else if (v && typeof v === 'object') { for (const [k, x] of Object.entries(v)) { walk(k); walk(x); } }\n};\nwalk(r.facts);\nconst versions = JSON.stringify(r.facts).match(/\\d+\\.\\d+\\.\\d+/g) ?? [];\nlet text = answer;\nfor (const v of versions) text = text.split(v).join(' ');\nconst unknown = (text.match(/\\d+(?:\\.\\d+)?/g) ?? []).filter((m) => !allowed.has(Number(m)));\nreturn [{ json: { question: r.question, area: r.area, router: r.router, refused: false, reason: null, answer,\n numbers_ok: unknown.length === 0, unknown_numbers: [...new Set(unknown)] } }];"
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},
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"position": [
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2420,
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|
|
300
|
||
|
|
],
|
||
|
|
"id": "51f5e16b-f31f-5606-8b33-7271c651764f"
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"name": "Send answer",
|
||
|
|
"type": "n8n-nodes-base.respondToWebhook",
|
||
|
|
"typeVersion": 1.1,
|
||
|
|
"parameters": {
|
||
|
|
"respondWith": "json",
|
||
|
|
"responseBody": "={{ $json }}",
|
||
|
|
"options": {}
|
||
|
|
},
|
||
|
|
"position": [
|
||
|
|
2640,
|
||
|
|
300
|
||
|
|
],
|
||
|
|
"id": "a1f84cfd-5942-59f2-81c8-613559203d2a"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"connections": {
|
||
|
|
"Ask webhook": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Route",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Route": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Action?",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Action?": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Refuse action",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
],
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Keyword hit?",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Keyword hit?": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Routed",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
],
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Classify",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Classify model": {
|
||
|
|
"ai_languageModel": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Classify",
|
||
|
|
"type": "ai_languageModel",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Classify": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Read class",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Read class": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Routed",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Routed": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Known area?",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Known area?": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Get facts",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
],
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Out of scope",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Get facts": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Pick facts",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Pick facts": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Answer",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Answer model": {
|
||
|
|
"ai_languageModel": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Answer",
|
||
|
|
"type": "ai_languageModel",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Answer": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Check numbers",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"Check numbers": {
|
||
|
|
"main": [
|
||
|
|
[
|
||
|
|
{
|
||
|
|
"node": "Send answer",
|
||
|
|
"type": "main",
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
]
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"settings": {
|
||
|
|
"executionOrder": "v1"
|
||
|
|
}
|
||
|
|
}
|