{
  "name": "72 IT helpdesk + step timings (answer)",
  "nodes": [
    {
      "name": "Question webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 2,
      "parameters": {
        "httpMethod": "POST",
        "path": "my-helpdesk",
        "responseMode": "responseNode",
        "options": {}
      },
      "webhookId": "de518e93-ed19-541f-a6fc-687a4efaf1b2",
      "position": [
        0,
        300
      ],
      "id": "f7a423a6-a6a2-57a3-954f-e8540a1ce022"
    },
    {
      "name": "Has question?",
      "type": "n8n-nodes-base.if",
      "typeVersion": 2.2,
      "parameters": {
        "conditions": {
          "options": {
            "caseSensitive": true,
            "leftValue": "",
            "typeValidation": "loose",
            "version": 2
          },
          "conditions": [
            {
              "id": "c1",
              "leftValue": "={{ $json.body.question }}",
              "rightValue": "",
              "operator": {
                "type": "string",
                "operation": "notEmpty",
                "singleValue": true
              }
            }
          ],
          "combinator": "and"
        },
        "options": {}
      },
      "position": [
        220,
        300
      ],
      "id": "6dce76b0-2dd0-5181-99be-b0b894c87c8b"
    },
    {
      "name": "Reject empty",
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1.1,
      "parameters": {
        "respondWith": "json",
        "responseBody": "{ \"error\": \"question is required\" }",
        "options": {
          "responseCode": 400
        }
      },
      "position": [
        440,
        560
      ],
      "id": "75371917-2483-583e-9135-5c663a18b08b"
    },
    {
      "name": "Start clock",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "parameters": {
        "jsCode": "return [{ json: { t: Date.now() } }];"
      },
      "position": [
        440,
        300
      ],
      "id": "34377f95-81c5-5aa3-9e2c-6b63a8e5ae54"
    },
    {
      "name": "Classify",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 3.1,
      "parameters": {
        "promptType": "define",
        "text": "={{ $('Question webhook').first().json.body.question }}",
        "options": {
          "systemMessage": "You sort one company IT help-desk question. Categories: faq (how to fix or use something: password, account lock, VPN, printer, mail box, software install), ticket (asks about the status of an IT request ticket like T-1002), other (anything else). Return only JSON, no code fence: {\"category\": \"faq\"}",
          "maxIterations": 1
        }
      },
      "position": [
        660,
        300
      ],
      "id": "7a93b236-dbff-52c5-9397-61087bc0688d"
    },
    {
      "name": "Classify model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1.2,
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "id",
          "value": "gpt-4.1-mini"
        },
        "options": {
          "temperature": 0
        }
      },
      "credentials": {
        "openAiApi": {
          "id": "openAiCourse0001",
          "name": "OpenAI (.env)"
        }
      },
      "position": [
        660,
        520
      ],
      "id": "357e7611-4597-5ba3-a6ba-9a4d4d63cda7"
    },
    {
      "name": "Parse category",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "parameters": {
        "jsCode": "const raw = String($json.output ?? '').trim().replace(/^```(json)?\\s*|```$/g, '');\nlet category = 'other';\ntry { category = JSON.parse(raw).category ?? 'other'; } catch (error) { category = 'other'; }\nif (!['faq', 'ticket', 'other'].includes(category)) category = 'other';\nreturn [{ json: { category, by: 'llm' } }];"
      },
      "position": [
        880,
        300
      ],
      "id": "9327634c-6764-5403-b7bc-3e666e7ae3d6"
    },
    {
      "name": "After classify",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "parameters": {
        "jsCode": "return [{ json: { ...$json, t: Date.now() } }];"
      },
      "position": [
        1100,
        300
      ],
      "id": "8f3da4f6-ce34-5505-b543-e5d68d990a96"
    },
    {
      "name": "Search FAQ",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "parameters": {
        "url": "http://data-api:8800/faq",
        "options": {},
        "sendQuery": true,
        "queryParameters": {
          "parameters": [
            {
              "name": "q",
              "value": "={{ $('Question webhook').first().json.body.question }}"
            }
          ]
        }
      },
      "position": [
        1320,
        300
      ],
      "id": "103c6254-01ea-5e80-81bb-7e3b9ea7beb5"
    },
    {
      "name": "After FAQ",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "parameters": {
        "jsCode": "return [{ json: { ...$json, t: Date.now() } }];"
      },
      "position": [
        1540,
        300
      ],
      "id": "d03181b0-715d-5fae-98a0-92c52a2b3b3c"
    },
    {
      "name": "Get ticket",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "parameters": {
        "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') }}",
        "options": {
          "response": {
            "response": {
              "neverError": true
            }
          }
        },
        "sendQuery": true,
        "queryParameters": {
          "parameters": [
            {
              "name": "requester",
              "value": "={{ $('Question webhook').first().json.body.user ?? '' }}"
            }
          ]
        }
      },
      "position": [
        1760,
        300
      ],
      "id": "f20b5c78-0224-5d55-8d77-0a9e98061a6b"
    },
    {
      "name": "After data",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "parameters": {
        "jsCode": "return [{ json: { ...$json, t: Date.now() } }];"
      },
      "position": [
        1980,
        300
      ],
      "id": "cca89aef-ef17-5b5f-a3c3-a53e0d762b43"
    },
    {
      "name": "Answer",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 3.1,
      "parameters": {
        "promptType": "define",
        "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($('Get ticket').first().json) }}",
        "options": {
          "systemMessage": "You are the company IT help desk. Answer in Korean in at most 3 sentences, using only the FAQ entries and the ticket record given. Never invent steps, dates or names. For a ticket, say its status and note. If the data does not answer the question, say \"찾지 못했습니다\" and that a staff member will help.",
          "maxIterations": 1
        }
      },
      "position": [
        2200,
        300
      ],
      "id": "d7ec1c62-265f-5d16-b67a-c5922305bb8a"
    },
    {
      "name": "Answer model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1.2,
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "id",
          "value": "gpt-4.1-mini"
        },
        "options": {
          "temperature": 0
        }
      },
      "credentials": {
        "openAiApi": {
          "id": "openAiCourse0001",
          "name": "OpenAI (.env)"
        }
      },
      "position": [
        2200,
        520
      ],
      "id": "5c7f8b81-cd4c-59a2-9899-9bdb4813f7ab"
    },
    {
      "name": "After answer",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "parameters": {
        "jsCode": "return [{ json: { ...$json, t: Date.now() } }];"
      },
      "position": [
        2420,
        300
      ],
      "id": "43dab328-4901-5fd6-8238-6e0f836cc31d"
    },
    {
      "name": "Review",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 3.1,
      "parameters": {
        "promptType": "define",
        "text": "=초안: {{ $('Answer').first().json.output }}",
        "options": {
          "systemMessage": "You review a Korean IT help-desk answer before it is sent. Keep the facts exactly. Make it polite (합니다체), remove anything not supported by the data, keep at most 3 sentences. Return only the final answer text.",
          "maxIterations": 1
        }
      },
      "position": [
        2640,
        300
      ],
      "id": "a4583946-f582-5ad8-963b-b866b74e9ba4"
    },
    {
      "name": "Review model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1.2,
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "id",
          "value": "gpt-4.1-mini"
        },
        "options": {
          "temperature": 0
        }
      },
      "credentials": {
        "openAiApi": {
          "id": "openAiCourse0001",
          "name": "OpenAI (.env)"
        }
      },
      "position": [
        2640,
        520
      ],
      "id": "3be9acc9-4b3d-5a41-b6a4-00fa1b04d777"
    },
    {
      "name": "After review",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "parameters": {
        "jsCode": "return [{ json: { ...$json, t: Date.now() } }];"
      },
      "position": [
        2860,
        300
      ],
      "id": "d07d9992-7e5e-5aab-b925-9387021bbaff"
    },
    {
      "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 = $('Parse category').first().json.category;\nconst answer = String($('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$/, '');\nreturn [{ json: result }];"
      },
      "position": [
        3080,
        300
      ],
      "id": "079e44f0-da3e-57dd-be6a-87025b6a320f"
    },
    {
      "name": "Send result",
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1.1,
      "parameters": {
        "respondWith": "json",
        "responseBody": "={{ $json }}",
        "options": {}
      },
      "position": [
        3300,
        300
      ],
      "id": "8ac7b99c-d9fa-5a1e-a168-33eb7ab5e2a3"
    }
  ],
  "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": "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": "Search FAQ",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Search FAQ": {
      "main": [
        [
          {
            "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
          }
        ]
      ]
    },
    "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"
  }
}