{ "name": "SmartMart Operational Monitor", "nodes": [ { "parameters": { "rule": { "interval": [ { "field": "cronExpression", "expression": "*/5 * * * *" } ] } }, "id": "e1b7c9d0-1111-4b2a-9c3d-000000000001", "name": "Every 5 minutes", "type": "n8n-nodes-base.scheduleTrigger", "typeVersion": 1.2, "position": [0, 0] }, { "parameters": { "url": "={{ $env.SMARTMART_BASE_URL }}/api/v1/ai-operations/snapshot", "authentication": "none", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Authorization", "value": "Bearer {{ $env.SMARTMART_N8N_TOKEN }}" }, { "name": "Cookie", "value": "tunnel_phishing_protection=$env.TUNNEL_COOKIE" } ] }, "sendQuery": false, "sendBody": false, "sendPreflight": false, "options": { "timeout": 10000 } }, "id": "e1b7c9d0-1111-4b2a-9c3d-000000000002", "name": "Collect operational snapshot", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [220, 0] }, { "parameters": { "mode": "runOnceForAllItems", "jsCode": "const body = $input.first().json;\nconst snap = body.data ?? body;\nconst risk = snap && snap.risk ? snap.risk : { score: 0, severity: 'NORMAL' };\nconst active = (snap && Array.isArray(snap.active_incidents) && snap.active_incidents[0]) || null;\nreturn [{\n json: {\n snapshotId: snap ? snap.snapshot_id : null,\n riskScore: Number(risk.score || 0),\n riskSeverity: (risk.severity || 'NORMAL').toUpperCase(),\n activeIncidentId: active ? active.incident_id : '',\n context: snap\n }\n}];" }, "id": "e1b7c9d0-1111-4b2a-9c3d-000000000003", "name": "Normalize snapshot", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [440, 0] }, { "parameters": { "conditions": { "number": { "number": [ { "value1": "={{ $json.riskScore }}", "operation": "gte", "value2": 70 } ] } }, "options": {} }, "id": "e1b7c9d0-1111-4b2a-9c3d-000000000004", "name": "Risk check", "type": "n8n-nodes-base.if", "typeVersion": 2.1, "position": [660, 0] }, { "parameters": {}, "id": "e1b7c9d0-1111-4b2a-9c3d-000000000005", "name": "Monitor OK - no action", "type": "n8n-nodes-base.noOp", "typeVersion": 0.1, "position": [880, 200] }, { "parameters": { "mode": "runOnceForAllItems", "jsCode": "const item = $input.first().json;\nreturn [{\n json: {\n incidentId: item.activeIncidentId || '',\n incidentType: item.riskSeverity === 'CRITICAL' ? 'fulfillment_sla' : 'operations_risk',\n context: item.context,\n riskScore: item.riskScore,\n riskSeverity: item.riskSeverity\n }\n}];" }, "id": "e1b7c9d0-1111-4b2a-9c3d-000000000006", "name": "Incident decision", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [880, -200] }, { "parameters": { "conditions": { "string": { "string": [ { "value1": "={{ $json.incidentId }}", "operation": "notEmpty" } ] } }, "options": {} }, "id": "e1b7c9d0-1111-4b2a-9c3d-000000000007", "name": "Incident exists?", "type": "n8n-nodes-base.if", "typeVersion": 2.1, "position": [1100, -200] }, { "parameters": { "url": "={{ $env.SMARTMART_BASE_URL }}/api/v1/ai-operations/incidents", "authentication": "none", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Authorization", "value": "Bearer {{ $env.SMARTMART_N8N_TOKEN }}" }, { "name": "Cookie", "value": "tunnel_phishing_protection=$env.TUNNEL_COOKIE" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "{\n \"type\": \"{{ $json.incidentType }}\",\n \"severity\": \"{{ $json.riskSeverity }}\",\n \"risk_score\": {{ $json.riskScore }},\n \"summary\": \"n8n monitor: operational risk {{ $json.riskScore }} ({{ $json.riskSeverity }}) detected.\",\n \"status\": \"open\",\n \"source\": \"n8n-operational-monitor\"\n}", "sendPreflight": false, "options": { "timeout": 10000 } }, "id": "e1b7c9d0-1111-4b2a-9c3d-000000000008", "name": "Create incident", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [1320, -360] }, { "parameters": { "mode": "runOnceForAllItems", "jsCode": "const body = $input.first().json;\nconst data = body.data ?? body;\nreturn [{\n json: {\n incidentId: data.incident_id || '',\n incidentType: data.type || 'operations_risk'\n }\n}];" }, "id": "e1b7c9d0-1111-4b2a-9c3d-000000000009", "name": "Use created incident", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [1540, -360] }, { "parameters": { "mode": "combine", "combineMode": "append" }, "id": "e1b7c9d0-1111-4b2a-9c3d-000000000010", "name": "Merge incident", "type": "n8n-nodes-base.merge", "typeVersion": 2.2, "position": [1760, -260] }, { "parameters": { "mode": "runOnceForAllItems", "jsCode": "const incident = $input.first().json;\nconst systemPrompt = 'You are the operations analyst for SmartMart. Identify fulfillment risks from the supplied operational context and respond with a SINGLE JSON object only. JSON must match this shape: { \"incident_type\": \"fulfillment_sla\", \"severity\": \"NORMAL|WATCH|ELEVATED|HIGH|CRITICAL\", \"confidence\": 0-1, \"summary\": string, \"root_causes\": [string], \"business_impact\": [string], \"affected_products\": [{sku,name}], \"recommended_actions\": [{ action, title, reason, requires_approval, payload }] }. ALLOWED actions: create_replenishment_task, create_task, send_internal_notification, escalate, reallocate_staff, create_supplier_purchase, request_refund. Mark requires_approval true only for reallocate_staff, create_supplier_purchase, request_refund. No prose, no code fences.';\nreturn [{\n json: {\n incidentId: incident.incidentId || '',\n incidentType: incident.incidentType || 'operations_risk',\n body: {\n model: $env.AI_MODEL || 'gpt-4o-mini',\n temperature: 0.2,\n response_format: { type: 'json_object' },\n messages: [\n { role: 'system', content: systemPrompt },\n { role: 'user', content: JSON.stringify(incident.context || {}) }\n ]\n }\n }\n}];" }, "id": "e1b7c9d0-1111-4b2a-9c3d-000000000011", "name": "Prepare AI request", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [1980, -260] }, { "parameters": { "url": "={{ $env.OPENAI_BASE_URL || 'https://api.openai.com/v1' }}/chat/completions", "authentication": "none", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Authorization", "value": "Bearer {{ $env.OPENAI_API_KEY }}" }, { "name": "Content-Type", "value": "application/json" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "={{ JSON.stringify($('Prepare AI request').first().json.body) }}", "sendPreflight": false, "options": { "timeout": 30000 } }, "id": "e1b7c9d0-1111-4b2a-9c3d-000000000012", "name": "Ask AI for analysis", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [2200, -260] }, { "parameters": { "mode": "runOnceForAllItems", "jsCode": "const body = $input.first().json;\nconst content = body.choices && body.choices[0] && body.choices[0].message\n ? body.choices[0].message.content\n : (body.error ? JSON.stringify({ summary: 'AI analysis failed: ' + body.error.message }) : '{}');\nlet analysis = {};\ntry {\n analysis = typeof content === 'string' ? JSON.parse(content) : content;\n} catch (e) {\n analysis = { summary: 'Could not parse AI analysis output', recommended_actions: [] };\n}\nconst incident = $('Merge incident').first().json;\nreturn [{\n json: {\n incident_id: incident.incidentId || '',\n incident_type: incident.incidentType || analysis.incident_type || 'operations_risk',\n provider: 'openai',\n model: $env.AI_MODEL || 'gpt-4o-mini',\n severity: (analysis.severity || 'ELEVATED').toUpperCase(),\n confidence: Number(analysis.confidence || 0.7),\n summary: analysis.summary || 'n8n AI analysis completed.',\n root_causes: analysis.root_causes || [],\n business_impact: analysis.business_impact || [],\n evidence: analysis.evidence || [],\n recommended_actions: (analysis.recommended_actions && analysis.recommended_actions.length ? analysis.recommended_actions : [])\n }\n}];" }, "id": "e1b7c9d0-1111-4b2a-9c3d-000000000013", "name": "Parse AI analysis", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [2420, -260] }, { "parameters": { "url": "={{ $env.SMARTMART_BASE_URL }}/api/v1/ai-operations/recommendations", "authentication": "none", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Authorization", "value": "Bearer {{ $env.SMARTMART_N8N_TOKEN }}" }, { "name": "Cookie", "value": "tunnel_phishing_protection=$env.TUNNEL_COOKIE" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "={{ JSON.stringify($json) }}", "sendPreflight": false, "options": { "timeout": 15000 } }, "id": "e1b7c9d0-1111-4b2a-9c3d-000000000014", "name": "Submit recommendation", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [2640, -260] }, { "parameters": { "mode": "runOnceForAllItems", "jsCode": "const body = $input.first().json;\nreturn [{\n json: {\n recommendationSent: true,\n response: body\n }\n}];" }, "id": "e1b7c9d0-1111-4b2a-9c3d-000000000015", "name": "Submission summary", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [2860, -260] } ], "connections": { "Every 5 minutes": { "main": [[{ "node": "Collect operational snapshot", "type": "main", "index": 0 }]] }, "Collect operational snapshot": { "main": [[{ "node": "Normalize snapshot", "type": "main", "index": 0 }]] }, "Normalize snapshot": { "main": [[{ "node": "Risk check", "type": "main", "index": 0 }]] }, "Risk check": { "main": [ [{ "node": "Incident decision", "type": "main", "index": 0 }], [{ "node": "Monitor OK - no action", "type": "main", "index": 0 }] ] }, "Incident decision": { "main": [[{ "node": "Incident exists?", "type": "main", "index": 0 }]] }, "Incident exists?": { "main": [ [{ "node": "Merge incident", "type": "main", "index": 0 }], [{ "node": "Create incident", "type": "main", "index": 0 }] ] }, "Create incident": { "main": [[{ "node": "Use created incident", "type": "main", "index": 0 }]] }, "Use created incident": { "main": [[{ "node": "Merge incident", "type": "main", "index": 1 }]] }, "Merge incident": { "main": [[{ "node": "Prepare AI request", "type": "main", "index": 0 }]] }, "Prepare AI request": { "main": [[{ "node": "Ask AI for analysis", "type": "main", "index": 0 }]] }, "Ask AI for analysis": { "main": [[{ "node": "Parse AI analysis", "type": "main", "index": 0 }]] }, "Parse AI analysis": { "main": [[{ "node": "Submit recommendation", "type": "main", "index": 0 }]] }, "Submit recommendation": { "main": [[{ "node": "Submission summary", "type": "main", "index": 0 }]] } }, "settings": { "errorWorkflow": "SmartMart Error Handler", "timezone": "Africa/Lagos", "executionOrder": "v1" } }