{ "name": "79 Ops ask + LLM router (answer)", "nodes": [ { "name": "Ask webhook", "type": "n8n-nodes-base.webhook", "typeVersion": 2, "parameters": { "httpMethod": "POST", "path": "my-ops-ask", "responseMode": "responseNode", "options": {} }, "webhookId": "e0cc9a1d-38cf-580a-b52e-3f6d8bb1cab2", "position": [ 0, 300 ], "id": "a2d5e198-0074-5f7f-9cd6-5203c98b0bb1" }, { "name": "Route", "type": "n8n-nodes-base.code", "typeVersion": 2, "parameters": { "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' } }];" }, "position": [ 220, 300 ], "id": "a5744b67-3600-5a8a-8607-d6c0896313f1" }, { "name": "Action?", "type": "n8n-nodes-base.if", "typeVersion": 2.2, "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "loose", "version": 2 }, "conditions": [ { "id": "c1", "leftValue": "={{ $json.area === 'action' }}", "rightValue": "", "operator": { "type": "boolean", "operation": "true", "singleValue": true } } ], "combinator": "and" }, "options": {} }, "position": [ 440, 300 ], "id": "48f78459-b87c-527d-a569-b3e753e4c0d4" }, { "name": "Refuse action", "type": "n8n-nodes-base.respondToWebhook", "typeVersion": 1.1, "parameters": { "respondWith": "json", "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.' }) }}", "options": {} }, "position": [ 660, 560 ], "id": "6ede178d-153c-53d7-a773-9b2bda2af049" }, { "name": "Keyword hit?", "type": "n8n-nodes-base.if", "typeVersion": 2.2, "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "loose", "version": 2 }, "conditions": [ { "id": "c1", "leftValue": "={{ $json.area !== 'unknown' }}", "rightValue": "", "operator": { "type": "boolean", "operation": "true", "singleValue": true } } ], "combinator": "and" }, "options": {} }, "position": [ 660, 300 ], "id": "bd2aea65-6cee-5229-b19a-5ec357ba6bc1" }, { "name": "Classify", "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 3.1, "parameters": { "promptType": "define", "text": "={{ $json.question }}", "options": { "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.", "maxIterations": 1 } }, "onError": "continueRegularOutput", "position": [ 880, 140 ], "id": "6747acdd-c6b6-54a5-9707-f995bcf54be6" }, { "name": "Classify 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": [ 880, -60 ], "id": "9e1b1e99-9563-50eb-ae41-edba7312bd00" }, { "name": "Read class", "type": "n8n-nodes-base.code", "typeVersion": 2, "parameters": { "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' } }];" }, "position": [ 1100, 140 ], "id": "a36bcee6-b885-5021-9b88-5321ed56c3b4" }, { "name": "Routed", "type": "n8n-nodes-base.code", "typeVersion": 2, "parameters": { "jsCode": "return [{ json: $input.first().json }];" }, "position": [ 1320, 300 ], "id": "db234186-80da-5094-9fdc-9b85b9fffd56" }, { "name": "Known area?", "type": "n8n-nodes-base.if", "typeVersion": 2.2, "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "loose", "version": 2 }, "conditions": [ { "id": "c1", "leftValue": "={{ $json.area !== 'unknown' }}", "rightValue": "", "operator": { "type": "boolean", "operation": "true", "singleValue": true } } ], "combinator": "and" }, "options": {} }, "position": [ 1540, 300 ], "id": "a904a046-a9d2-5f43-bc24-45c10bb803fb" }, { "name": "Out of scope", "type": "n8n-nodes-base.respondToWebhook", "typeVersion": 1.1, "parameters": { "respondWith": "json", "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.' }) }}", "options": {} }, "position": [ 1760, 560 ], "id": "047a7d3f-bc56-5a24-ae65-8b2143880a44" }, { "name": "Get facts", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "parameters": { "url": "http://localhost:5678/webhook/my-ops-facts", "options": { "timeout": 30000 }, "method": "POST", "sendBody": true, "specifyBody": "json", "jsonBody": "={{ JSON.stringify({ from: $('Ask webhook').first().json.body?.from ?? '', to: $('Ask webhook').first().json.body?.to ?? '' }) }}" }, "position": [ 1760, 300 ], "id": "adea6e67-7abd-55a9-8659-98b7e285cce3" }, { "name": "Pick facts", "type": "n8n-nodes-base.code", "typeVersion": 2, "parameters": { "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 } }];" }, "position": [ 1980, 300 ], "id": "7550791a-4b6c-57a0-82a8-1f97ab9dbe79" }, { "name": "Answer", "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 3.1, "parameters": { "promptType": "define", "text": "=질문: {{ $json.question }}\n사실(JSON): {{ JSON.stringify($json.facts) }}", "options": { "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.", "maxIterations": 1 } }, "position": [ 2200, 300 ], "id": "83bb5d6e-92c7-5d43-bc11-78f9d4b23568" }, { "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": [ 2200, 520 ], "id": "3e644835-aa33-5c70-b0aa-c18d300579b3" }, { "name": "Check numbers", "type": "n8n-nodes-base.code", "typeVersion": 2, "parameters": { "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)] } }];" }, "position": [ 2420, 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" } }