支持工单分诊工作流 - 待发布
高级
这是一个Content Creation, Multimodal AI领域的自动化工作流，包含 16 个节点。主要使用 Set, Code, Webhook, HttpRequest, GoogleGemini 等节点。 Jira 服务管理的工单分诊，集成 Gemini AI 审核和指导
前置要求
- •HTTP Webhook 端点（n8n 会自动生成）
- •可能需要目标 API 的认证凭证
工作流预览
可视化展示节点连接关系，支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
"id": "oSPXtQOZoHDhoaDT",
"meta": {
"instanceId": "566951f6832eae413e3268789d835fe5467b7767624f8c53a44727976582c562"
},
"name": "支持工单分诊工作流 - 待发布",
"tags": [],
"nodes": [
{
"id": "7a738865-d41d-4fef-aa5d-421f75fcc622",
"name": "SET_SETUP",
"type": "n8n-nodes-base.set",
"position": [
256,
-240
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "c90a8acc-f2b5-486d-aec1-52e9f53573cc",
"name": "CONF_THRESH",
"type": "string",
"value": "0.7"
},
{
"id": "7fdb72d5-0233-492c-8058-b99ae412c121",
"name": "JIRA_AI_LABEL",
"type": "string",
"value": "triaged:ai"
},
{
"id": "41cec41d-a671-4e62-910f-1c1909c9ac70",
"name": "domain",
"type": "string",
"value": "{ \"keywords\": { \"boards\": [ \"create board\", \"board not found\", \"board update\", \"private board\", \"board API error\", \"permissionLevel\", \"organization board\" ], \"cards\": [ \"card not created\", \"card update failed\", \"attachments\", \"custom field\", \"labels\", \"due date\", \"checklist\" ], \"lists\": [ \"list order\", \"archive list\", \"list not found\", \"create list\", \"move list\", \"GET lists\", \"closed list\" ], \"members\": [ \"member info\", \"username update\", \"stale profile\", \"API key\", \"2FA\", \"account details\", \"authorization\", \"scope ignored\", \"security breach\" ], \"integrations\": [ \"webhook\", \"Jira sync\", \"Slack sync\", \"delay\", \"retry count\", \"missing payload\", \"API integration error\", \"marketplace unavailable\" ], \"outage\": [ \"checkout down\", \"site unavailable\", \"cannot access\", \"all users affected\", \"service unavailable\", \"api unavailable\", \"production down\", \"system-wide failure\", \"security issue\", \"critical vulnerability\" ] }, \"guidance_addons\": { \"Boards\": [ \"Verify if the user’s API key has the correct scopes for board creation\", \"Ask if the error occurs only for private vs. public boards\", \"Check if the organization ID is passed correctly in the payload\", \"Review Trello status page for regional board service incidents\", \"Confirm board limit (10,000) not exceeded for the tenant\" ], \"Cards\": [ \"Request failing card IDs and timestamps of API calls\", \"Check attachment file type and size against Trello’s documented limits\", \"Verify if the custom field schema is valid and published\", \"Review if the card update works via UI but fails via API for comparison\", \"Ask if errors correlate with rate limit spikes or throttling events\" ], \"Lists\": [ \"Confirm list IDs being used are from the correct board\", \"Check if client-side sorting logic is applied after API call\", \"Request exact payloads sent to PUT /1/lists/{id}/closed\", \"Verify if archived lists appear correctly when fetching with ?filter=all\", \"Compare response between API and UI order to detect cache issues\" ], \"Members\": [ \"Ask for affected member IDs and when the profile update occurred\", \"Check if 2FA was enabled before API key issuance\", \"Request logs showing which fields remain stale after update\", \"Verify if user is using API token vs. OAuth session\", \"Cross-check with Trello audit logs for account security events\" ], \"Integrations\": [ \"Collect webhook IDs, retry counts, and response codes for failed deliveries\", \"Ask if issue affects all webhooks or only Jira/Slack integrations\", \"Check Trello status page for webhook delivery delays or outages\", \"Verify if payloads include required fields (e.g., comment text, action type)\", \"Confirm downstream systems (Jira/Slack) aren’t rejecting payloads\" ] }, \"components\": [ \"Boards\", \"Cards\", \"Lists\", \"Members\", \"Integrations\", \"Other\" ], \"priority_policy\": [\"Highest\", \"High\", \"Medium\", \"Low\"], \"priority_rules\": { \"Highest\": \"Triggered if outage keywords match OR system-wide API failures (all tenants, critical path) OR confirmed security vulnerabilities (2FA, API key bypass, scope ignored).\", \"High\": \"Triggered if core path blocked and no workaround available.\", \"Low\": \"Explicit 'low' or 'minor', narrow scope (<10 users), workaround exists, no outage/security terms.\", \"Medium\": \"Default; used if none of the above apply.\" }, \"no_workaround_phrases\": [ \"no workaround\", \"no reliable workaround\", \"no consistent workaround\", \"no confirmed workaround\" ] }"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "1cc0ca0a-9423-4fea-b908-848f76041f71",
"name": "AI 工单分诊",
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"position": [
720,
-240
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "models/gemini-2.0-flash",
"cachedResultName": "models/gemini-2.0-flash"
},
"options": {
"systemMessage": "=You are a Technical Support Triage Engineer for Jira tickets.\n\nInput JSON:\n- ticket: {summary, description, priority, components, labels}\n- domain: {priority_policy, components, guidance_addons, keywords, no_workaround_phrases}\n- constraints: {confidence_threshold}\n\nRules:\n- Base ALL decisions only on ticket.summary + ticket.description.\n- Justifications must QUOTE exact words from the ticket.\n- Update only if confidence ≥ {{ $json.constraints.confidence_threshold }}; else set action:\"keep\".\n- priority.target MUST be one of domain.priority_policy.\n- component.target MUST be one of domain.components (use \"Other\" if unsure).\n- If evidence is missing (IDs, screenshots, config versions, logs, etc.) add nouns to \"missing_info\".\n- Always return exactly 3 items in \"guidance\":\n - Prefer domain.guidance_addons for the chosen component.\n - If fewer than 3 are relevant, pad with deeper or differential checks (logs, configs, comparisons).\n- Guidance must NOT duplicate missing_info requests.\n\nPriority rules:\n- Highest: explicit outage terms OR systemic API failures (all tenants) OR confirmed security vulnerabilities.\n- High: core path blocked AND no workaround.\n- Low: ALL true → explicit \"low\"/\"minor\", narrow scope (<10 users), workaround exists, no outage terms.\n- Otherwise: Medium.\n- Never keep Medium if Low criteria are fully met.\n\nConfidence:\n- Assign confidence conservatively (0.5–0.85 typical).\n- Only use >0.85 if multiple strong signals (e.g., explicit outage + \"all users\").\n\nSchema:\n{\n \"priority\": {\"action\":\"keep|update\",\"target\":\"High\",\"justification\":\"...\", \"confidence\":0.0},\n \"component\": {\"action\":\"keep|update\",\"target\":\"Backend\",\"justification\":\"...\", \"confidence\":0.0},\n \"missing_info\": [\"...\"],\n \"guidance\": [\"...\", \"...\", \"...\"]\n}\n"
},
"messages": {
"values": [
{
"content": "={{ JSON.stringify($json, null, 2) }}"
}
]
},
"jsonOutput": true
},
"credentials": {
"googlePalmApi": {
"id": "xxx",
"name": "GOOGLEPALMAPI_CREDENTIAL_HERE"
}
},
"typeVersion": 1
},
{
"id": "d27991d1-54bf-498c-9501-e8736dff3f5e",
"name": "构建 JIRA 更新",
"type": "n8n-nodes-base.code",
"position": [
16,
304
],
"parameters": {
"jsCode": "// Input: item from \"Normalize LLM Output\"\nconst { ticket, label, threshold, decision, llm_error } = $('Normalize LLM Output').first().json;\n\nconst lbl = label || 'triaged:ai';\n\n// --- Current values ---\nconst origPri = ticket.priority || 'Unknown';\nconst origComp = (Array.isArray(ticket.components) && ticket.components.length) ? ticket.components[0] : 'None';\nconst labelExists = Array.isArray(ticket.labels) && ticket.labels.includes(lbl);\n\n// --- Proposed targets ---\nconst targetPri = decision?.priority?.target;\nconst targetComp = decision?.component?.target;\n\n// --- Changes ---\nlet wantPri = decision.priority?.action === 'update'\n && Number(decision.priority.confidence) >= Number(threshold)\n && targetPri && targetPri !== origPri;\n\nlet wantComp = decision.component?.action === 'update'\n && Number(decision.component.confidence) >= Number(threshold)\n && targetComp && targetComp !== 'Other'\n && targetComp !== origComp;\n\nif (llm_error) { wantPri = false; wantComp = false; }\n\nconst willAddLabel = (!labelExists) && !llm_error;\n\n// --- Build Jira Update payload ---\nconst fields = {};\nif (wantPri) fields.priority = { name: targetPri };\nif (wantComp) fields.components = [{ name: targetComp }];\n\nconst jiraUpdateBody = {};\nif (Object.keys(fields).length) jiraUpdateBody.fields = fields;\nif (willAddLabel) jiraUpdateBody.update = { labels: [{ add: lbl }] };\n\n// --- Build comment body ---\nconst lines = [];\n\n// ✅ 1-line summary\nlet summary = [];\nsummary.push(wantPri ? `Priority → ${targetPri}` : `Priority kept (${origPri})`);\nsummary.push(wantComp ? `Component → ${targetComp}` : `Component kept (${origComp})`);\nif (willAddLabel) summary.push(`Label added`);\nlines.push(`*Triage Summary:* ${summary.join(\" | \")}`);\nlines.push(\"\");\n\n// Suggested Next Steps + Missing Info\nif ((decision.guidance && decision.guidance.length) || (decision.missing_info && decision.missing_info.length)) {\n lines.push(\"*Suggested Next Steps*\");\n if (Array.isArray(decision.guidance)) decision.guidance.forEach(g => lines.push(`- ${g}`));\n if (Array.isArray(decision.missing_info) && decision.missing_info.length) {\n lines.push(\"\");\n lines.push(\"*⚠️ Missing Information*\");\n decision.missing_info.forEach(m => lines.push(`- ${m}`));\n }\n lines.push(\"\");\n lines.push(\"----\");\n lines.push(\"\");\n}\n\n// Audit\nlines.push(\"*Audit of Triage*\");\nif (llm_error) {\n lines.push(`⚠️ LLM error (no field updates; label suppressed): ${llm_error}`);\n lines.push(\"\");\n}\nlines.push(`*Issue:* ${ticket.key} (id: ${ticket.id})`);\nlines.push(\"\");\n\n// Priority decision\nlines.push(\"*Priority decision:*\");\nif (wantPri) {\n lines.push(`- Action: update [${origPri} → ${targetPri}]`);\n} else {\n lines.push(`- Action: keep [${origPri}]`);\n}\nif (decision.priority?.justification) lines.push(`- Justification: \\\"${decision.priority.justification}\\\"`);\nif (decision.priority?.confidence != null) lines.push(`- Confidence: ${Number(decision.priority.confidence).toFixed(2)}`);\nlines.push(`- Verdict: ${wantPri ? \"✅ updated\" : \"ℹ️ kept\"}`);\nlines.push(\"\");\n\n// Component decision\nlines.push(\"*Component decision:*\");\nif (wantComp) {\n lines.push(`- Action: update [${origComp} → ${targetComp}]`);\n} else {\n lines.push(`- Action: keep [${origComp}]`);\n}\nif (decision.component?.justification) lines.push(`- Justification: \\\"${decision.component.justification}\\\"`);\nif (decision.component?.confidence != null) lines.push(`- Confidence: ${Number(decision.component.confidence).toFixed(2)}`);\nlines.push(`- Verdict: ${wantComp ? \"✅ updated\" : \"ℹ️ kept\"}`);\nlines.push(\"\");\n\n// Label decision\nlines.push(\"*Label decision:*\");\nif (llm_error) {\n lines.push(`- ${lbl}: [absent → not added due to LLM error]`);\n} else if (willAddLabel) {\n lines.push(`- ${lbl}: [absent → added]`);\n} else {\n lines.push(`- ${lbl}: [present → kept]`);\n}\n\nreturn [{\n json: {\n issueKey: ticket.key,\n issueId: ticket.id,\n jiraUpdateBody,\n decision,\n jsmCommentBody: { public: false, body: lines.join(\"\\n\") }\n }\n}];\n"
},
"typeVersion": 2
},
{
"id": "2969caa9-adb9-4b48-a603-c3f9c1167173",
"name": "JIRA 更新",
"type": "n8n-nodes-base.httpRequest",
"position": [
240,
304
],
"parameters": {
"url": "=https://your-domain.atlassian.net/rest/api/3/issue/{{$json.issueKey}}",
"method": "PUT",
"options": {
"response": {
"response": {
"fullResponse": true,
"responseFormat": "json"
}
}
},
"jsonBody": "={{ $json.jiraUpdateBody }}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpBasicAuth"
},
"credentials": {
"httpBasicAuth": {
"id": "xxx",
"name": "HTTPBASICAUTH_CREDENTIAL_HERE"
}
},
"typeVersion": 4.2
},
{
"id": "d2be727b-f73b-4cc2-ae60-bba98317714e",
"name": "构建 LLM 载荷",
"type": "n8n-nodes-base.code",
"position": [
496,
-240
],
"parameters": {
"jsCode": "// Support both shapes:\n// - Webhook: { body: { issue: { key, id, fields: {...} } }, ... }\n// - Direct GET: { key, id, fields: {...}, ... }\nconst srcIssue = $json.body?.issue ?? $json;\nconst fields = srcIssue?.fields ?? {};\n\nfunction safeStr(v) { return (v ?? \"\").toString(); }\n\n// Components may be objects or strings\nconst components = Array.isArray(fields.components)\n ? fields.components.map(c => (typeof c === 'string' ? c : c?.name)).filter(Boolean)\n : [];\n\n// Labels from Jira fields\nconst labels = Array.isArray(fields.labels) ? fields.labels : [];\n\n// Priority can be object or string\nconst priorityName = fields.priority?.name ?? (typeof fields.priority === 'string' ? fields.priority : 'Unknown');\n\n// Parse domain (it may arrive as a JSON string)\nlet domainObj = {};\ntry {\n domainObj = typeof $json.domain === 'string' ? JSON.parse($json.domain) : ($json.domain || {});\n} catch {\n domainObj = {};\n}\n\n// Confidence threshold\nconst conf = Number($json.CONF_THRESH);\nconst confidence_threshold = Number.isFinite(conf) ? conf : 0.7;\n\nreturn [{\n json: {\n ticket: {\n key: safeStr(srcIssue?.key),\n id: safeStr(srcIssue?.id),\n summary: safeStr(fields.summary),\n description: safeStr(fields.description),\n priority: safeStr(priorityName),\n components,\n labels,\n },\n domain: domainObj,\n constraints: {\n confidence_threshold,\n },\n }\n}];\n"
},
"typeVersion": 2
},
{
"id": "acfa49ef-cb83-437c-ae4d-233f53fbc2fb",
"name": "JIRA 添加评论",
"type": "n8n-nodes-base.httpRequest",
"position": [
688,
304
],
"parameters": {
"url": "=https://your-domain.atlassian.net/rest/servicedeskapi/request/{{$json.issueKey}}/comment",
"method": "POST",
"options": {},
"jsonBody": "={{ $json.jsmCommentBody }}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpBasicAuth"
},
"credentials": {
"httpBasicAuth": {
"id": "xxx",
"name": "HTTPBASICAUTH_CREDENTIAL_HERE"
}
},
"typeVersion": 4.2
},
{
"id": "4465101d-6d93-467a-b1ad-a67a9a4414e3",
"name": "更新结果处理",
"type": "n8n-nodes-base.code",
"position": [
464,
304
],
"parameters": {
"jsCode": "// Get the original comment skeleton\nconst base = $items(\"Build JIRA Update\", 0, $itemIndex)?.[0]?.json || {};\n\n// The current item is the HTTP response (because Full Response = true)\nconst status = $json?.statusCode;\nconst text = typeof $json?.body === 'string' ? $json.body : JSON.stringify($json?.body || {});\n\nlet body = base.jsmCommentBody?.body || \"(no audit body)\";\nconst failed = typeof status === 'number' && (status < 200 || status >= 300);\n\nif (failed) {\n body = `⚠️ Jira update failed\\nStatus: ${status}\\nBody: ${text}\\n\\n` + body;\n}\n\n// Output the final comment payload\nreturn [{\n json: {\n issueKey: base.issueKey,\n jsmCommentBody: { public: false, body }\n }\n}];\n"
},
"typeVersion": 2
},
{
"id": "f960236a-9ef2-454e-9f6f-ad9a73aa0752",
"name": "指标生成",
"type": "n8n-nodes-base.code",
"position": [
912,
304
],
"parameters": {
"jsCode": "// Source A: comment/ctx\nconst ctx = $json;\n\n// Source B: Build JIRA Update (decision, confidence, targets)\nconst updateCtx = $items(\"Build JIRA Update\", 0, $itemIndex)[0]?.json || {};\n\n// Source C: JIRA Update (API response with statusCode)\nconst apiCtx = $items(\"JIRA Update\", 0, $itemIndex)[0]?.json || {};\n\nreturn [{\n json: {\n issueKey: ctx.issueKey || updateCtx.issueKey,\n issueId: ctx.issueId || updateCtx.issueId,\n\n llmError: !!(ctx.llm_error || updateCtx.llm_error),\n\n // Changes applied (from the update payload)\n priorityChange: !!updateCtx.jiraUpdateBody?.fields?.priority,\n componentChange: !!updateCtx.jiraUpdateBody?.fields?.components,\n labelAdded: !!updateCtx.jiraUpdateBody?.update?.labels,\n\n // API statuses (prefer JIRA Update response)\n jiraUpdateStatus: apiCtx.statusCode ?? null,\n jiraCommentStatus: ctx.id ? 201 : null,\n\n // Confidence values (from LLM decision)\n priorityConfidence: updateCtx.decision?.priority?.confidence ?? null,\n componentConfidence: updateCtx.decision?.component?.confidence ?? null,\n }\n}];\n"
},
"typeVersion": 2
},
{
"id": "4cdda784-fc9b-4716-b63e-1e0c360e8ce1",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
32,
-240
],
"webhookId": "dcc89146-5bdb-4330-9bc1-2d021db266cd",
"parameters": {
"path": "dcc89146-5bdb-4330-9bc1-2d021db266cd",
"options": {},
"httpMethod": "POST"
},
"typeVersion": 2.1
},
{
"id": "74ae3c48-51b5-4950-8d36-3bcd97dd7737",
"name": "标准化 LLM 输出",
"type": "n8n-nodes-base.code",
"position": [
1072,
-240
],
"parameters": {
"jsCode": "// Pull the original structured payload sent to the LLM\nconst base = $items(\"Build Payload for LLM\", 0, $itemIndex)[0]?.json || {};\nconst setup = $items(\"SET_SETUP\", 0, 0)[0]?.json || {};\n\nconst threshold = Number(base.constraints?.confidence_threshold ?? setup.CONF_THRESH ?? 0.7);\n\nfunction readRawLLMText() {\n return (\n $json?.content?.parts?.[0]?.text ??\n $json?.candidates?.[0]?.content?.parts?.[0]?.text ??\n \"\"\n );\n}\n\nlet llm_error = null;\nlet parsed = null;\n\nconst rawText = readRawLLMText();\n\n// Try to extract a JSON object (with or without code fences)\ntry {\n const match =\n rawText.match(/```json\\s*([\\s\\S]*?)\\s*```/i) ||\n rawText.match(/{[\\s\\S]*}/);\n\n if (!match) throw new Error(\"No JSON-like content in LLM output\");\n\n parsed = JSON.parse(match[1] || match[0]);\n} catch (e) {\n llm_error = `LLM output was not valid JSON: ${e.message}`;\n}\n\n// Current values from the ticket\nconst currentPri = base.ticket?.priority ?? 'Medium';\nconst currentComp = base.ticket?.components?.[0] ?? 'Other';\n\n// Normalize + coerce action when target implies a change\nfunction coerceAction(suggestedAction, target, current) {\n const s = String(suggestedAction || 'keep').toLowerCase();\n if (target && target !== current) return 'update';\n return (s === 'update') ? 'update' : 'keep';\n}\n\n// Normalize (fallbacks if LLM failed)\nconst pri = parsed?.priority ?? {};\nconst comp = parsed?.component ?? {};\n\nconst priorityAction = coerceAction(pri.action, pri.target, currentPri);\nconst componentAction = coerceAction(comp.action, comp.target, currentComp);\n\nreturn [{\n json: {\n ticket: base.ticket || {},\n domain: base.domain,\n threshold,\n label: setup.JIRA_AI_LABEL || 'triaged:ai',\n llm_error, // carry forward\n decision: {\n priority: {\n action: priorityAction,\n target: (pri.target ?? currentPri),\n justification: (pri.justification ?? ''),\n confidence: Number(pri.confidence ?? 0),\n },\n component: {\n action: componentAction,\n target: (comp.target ?? currentComp),\n justification: (comp.justification ?? ''),\n confidence: Number(comp.confidence ?? 0),\n },\n missing_info: Array.isArray(parsed?.missing_info) ? parsed.missing_info : [],\n guidance: Array.isArray(parsed?.guidance) ? parsed.guidance : [],\n }\n }\n}];\n"
},
"typeVersion": 2
},
{
"id": "bfc707c7-8833-4741-af0c-3a900395af61",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
-16,
-576
],
"parameters": {
"color": 5,
"width": 432,
"height": 496,
"content": "## **入口与设置**"
},
"typeVersion": 1
},
{
"id": "b59d7de1-92c6-42c0-95b8-48db9a3c49b9",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
448,
-576
],
"parameters": {
"color": 2,
"width": 800,
"height": 496,
"content": "## **AI 分析**"
},
"typeVersion": 1
},
{
"id": "ae0a2993-4e40-4f39-9338-efe01a88660f",
"name": "便签2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-16,
-48
],
"parameters": {
"width": 848,
"height": 496,
"content": "## **Jira 更新与审计**"
},
"typeVersion": 1
},
{
"id": "bafeb986-f0be-4af4-9fdd-01b00f3b89e9",
"name": "便签3",
"type": "n8n-nodes-base.stickyNote",
"position": [
864,
-48
],
"parameters": {
"color": 4,
"width": 384,
"height": 496,
"content": "## **指标**"
},
"typeVersion": 1
},
{
"id": "e0dc1407-5f13-4781-b71b-8f556da9f5c8",
"name": "便签4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-16,
-864
],
"parameters": {
"color": 3,
"width": 1264,
"height": 256,
"content": "# 🔹 AI 驱动的 Jira 工单分诊"
},
"typeVersion": 1
},
{
"id": "8996ae65-f13d-4ff0-855f-fb0c698e926b",
"name": "便签5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1280,
-864
],
"parameters": {
"color": 6,
"width": 528,
"height": 1312,
"content": "# 领域架构（简化示例）"
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "ebbeeff5-3650-4690-a779-304b4a79b6bd",
"connections": {
"Webhook": {
"main": [
[
{
"node": "SET_SETUP",
"type": "main",
"index": 0
}
]
]
},
"SET_SETUP": {
"main": [
[
{
"node": "Build Payload for LLM",
"type": "main",
"index": 0
}
]
]
},
"JIRA Update": {
"main": [
[
{
"node": "On Update Result",
"type": "main",
"index": 0
}
]
]
},
"AI Case Triage": {
"main": [
[
{
"node": "Normalize LLM Output",
"type": "main",
"index": 0
}
]
]
},
"JIRA Add Comment": {
"main": [
[
{
"node": "Metrics Generation",
"type": "main",
"index": 0
}
]
]
},
"On Update Result": {
"main": [
[
{
"node": "JIRA Add Comment",
"type": "main",
"index": 0
}
]
]
},
"Build JIRA Update": {
"main": [
[
{
"node": "JIRA Update",
"type": "main",
"index": 0
}
]
]
},
"Normalize LLM Output": {
"main": [
[
{
"node": "Build JIRA Update",
"type": "main",
"index": 0
}
]
]
},
"Build Payload for LLM": {
"main": [
[
{
"node": "AI Case Triage",
"type": "main",
"index": 0
}
]
]
}
}
}常见问题
如何使用这个工作流？
复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景？
高级 - 内容创作, 多模态 AI
需要付费吗？
本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。
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工作流信息
难度等级
高级
节点数量16
分类2
节点类型6
作者
Alejandro Scuncia
@ascunciaSupport & Services Leader exploring GenAI and automation. Currently leading a global support team while building and learning through real-world AI workflows — from smarter knowledge agents to complex integrations. Here to explore, share, and connect with the n8n community.
外部链接
在 n8n.io 查看 →
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