{
    "name": "Homelab Integration Advisor",
    "nodes": [
        {
            "parameters": {
                "rule": {
                    "interval": [
                        {
                            "field": "days",
                            "daysInterval": 1,
                            "triggerAtHour": 9
                        }
                    ]
                }
            },
            "id": "daily-trigger",
            "name": "Daily at 9 AM",
            "type": "n8n-nodes-base.scheduleTrigger",
            "typeVersion": 1.2,
            "position": [
                250,
                400
            ]
        },
        {
            "parameters": {
                "httpMethod": "POST",
                "path": "integration-advisor",
                "responseMode": "responseNode",
                "options": {}
            },
            "id": "webhook-trigger",
            "name": "Manual Trigger",
            "type": "n8n-nodes-base.webhook",
            "typeVersion": 2,
            "position": [
                250,
                600
            ],
            "webhookId": "integration-advisor"
        },
        {
            "parameters": {
                "command": "docker service ls --format '{{.Name}}|{{.Mode}}|{{.Replicas}}|{{.Image}}|{{.Ports}}'"
            },
            "id": "get-services",
            "name": "Get All Services",
            "type": "n8n-nodes-base.executeCommand",
            "typeVersion": 1,
            "position": [
                500,
                400
            ]
        },
        {
            "parameters": {
                "url": "=http://prometheus:9090/api/v1/query?query=up",
                "options": {
                    "timeout": 5000
                }
            },
            "id": "get-prometheus-metrics",
            "name": "Get Prometheus Metrics",
            "type": "n8n-nodes-base.httpRequest",
            "typeVersion": 4.2,
            "position": [
                500,
                550
            ],
            "continueOnFail": true
        },
        {
            "parameters": {
                "url": "=http://lm-studio:1234/v1/models",
                "options": {}
            },
            "id": "get-ai-models",
            "name": "Get Available AI Models",
            "type": "n8n-nodes-base.httpRequest",
            "typeVersion": 4.2,
            "position": [
                500,
                700
            ],
            "continueOnFail": true
        },
        {
            "parameters": {
                "jsCode": "const items = $input.all();\n\nconst inventory = {\n  timestamp: new Date().toISOString(),\n  services: [],\n  capabilities: {\n    ai: [],\n    monitoring: [],\n    automation: [],\n    storage: [],\n    productivity: [],\n    media: [],\n    development: []\n  },\n  integration_potential: []\n};\n\n// Parse service list\nconst serviceData = items.find(i => i.json.stdout);\nif (serviceData && serviceData.json.stdout) {\n  const lines = serviceData.json.stdout.split('\\n').filter(l => l.trim());\n  lines.forEach(line => {\n    const [name, mode, replicas, image, ports] = line.split('|');\n    const service = { name, mode, replicas, image, ports };\n    inventory.services.push(service);\n    \n    // Categorize by capability\n    if (name.includes('openwebui') || name.includes('lm-studio') || name.includes('ollama')) {\n      inventory.capabilities.ai.push(name);\n    } else if (name.includes('prometheus') || name.includes('grafana') || name.includes('alert')) {\n      inventory.capabilities.monitoring.push(name);\n    } else if (name.includes('n8n') || name.includes('komodo')) {\n      inventory.capabilities.automation.push(name);\n    } else if (name.includes('paperless') || name.includes('stirling') || name.includes('nextcloud')) {\n      inventory.capabilities.productivity.push(name);\n    } else if (name.includes('plex') || name.includes('jellyfin') || name.includes('immich')) {\n      inventory.capabilities.media.push(name);\n    } else if (name.includes('gitea') || name.includes('code-server')) {\n      inventory.capabilities.development.push(name);\n    } else if (name.includes('omv') || name.includes('samba')) {\n      inventory.capabilities.storage.push(name);\n    }\n  });\n}\n\n// Get AI models\nconst aiModels = items.find(i => i.json.data);\nif (aiModels && aiModels.json.data) {\n  inventory.ai_models = aiModels.json.data.map(m => m.id);\n}\n\n// Define integration opportunities\nconst integrations = [\n  { from: 'n8n', to: 'paperless', type: 'Document automation', potential: 'high' },\n  { from: 'n8n', to: 'prometheus', type: 'Metric-based triggers', potential: 'high' },\n  { from: 'n8n', to: 'openwebui', type: 'AI-powered workflows', potential: 'high' },\n  { from: 'openwebui', to: 'searxng', type: 'Enhanced search', potential: 'medium' },\n  { from: 'prometheus', to: 'grafana', type: 'Visualization', potential: 'existing' },\n  { from: 'gitea', to: 'komodo', type: 'CI/CD automation', potential: 'high' },\n  { from: 'paperless', to: 'nextcloud', type: 'Document storage', potential: 'medium' },\n  { from: 'immich', to: 'openwebui', type: 'Photo analysis', potential: 'medium' },\n  { from: 'home-assistant', to: 'all', type: 'Smart home integration', potential: 'high' }\n];\n\ninventory.integration_potential = integrations.filter(i => {\n  const fromExists = inventory.services.some(s => s.name.includes(i.from.split('-')[0]));\n  const toExists = i.to === 'all' || inventory.services.some(s => s.name.includes(i.to.split('-')[0]));\n  return fromExists && toExists;\n});\n\nreturn [{ json: inventory }];"
            },
            "id": "build-inventory",
            "name": "Build Service Inventory",
            "type": "n8n-nodes-base.code",
            "typeVersion": 2,
            "position": [
                750,
                500
            ]
        },
        {
            "parameters": {
                "method": "POST",
                "url": "=http://lm-studio:1234/v1/chat/completions",
                "sendBody": true,
                "bodyParameters": {
                    "parameters": [
                        {
                            "name": "model",
                            "value": "=deepseek-r1-distill-llama-8b"
                        },
                        {
                            "name": "messages",
                            "value": "={{ [{\"role\":\"system\",\"content\":\"You are a homelab integration expert specializing in service orchestration with n8n, Docker, and modern DevOps tools. Analyze the provided service inventory and recommend specific integration workflows. For each recommendation provide: 1) Services involved 2) Integration type 3) Specific n8n workflow pattern 4) Expected benefits 5) Complexity (low/medium/high). Respond in JSON format with an array of recommendations.\"}, {\"role\":\"user\",\"content\":\"Analyze this homelab and recommend integration workflows:\\n\\nServices: \" + JSON.stringify($json.capabilities, null, 2) + \"\\n\\nAvailable AI Models: \" + JSON.stringify($json.ai_models || [], null, 2) + \"\\n\\nPotential Integrations Identified: \" + JSON.stringify($json.integration_potential, null, 2)}] }}"
                        },
                        {
                            "name": "temperature",
                            "value": "=0.4"
                        },
                        {
                            "name": "max_tokens",
                            "value": "=2000"
                        }
                    ]
                },
                "options": {
                    "timeout": 40000
                }
            },
            "id": "ai-integration-advisor",
            "name": "AI Integration Advisor",
            "type": "n8n-nodes-base.httpRequest",
            "typeVersion": 4.2,
            "position": [
                1000,
                500
            ]
        },
        {
            "parameters": {
                "jsCode": "const inventory = $('Build Service Inventory').item.json;\nconst aiResponse = $json.choices[0].message.content;\n\nlet recommendations;\ntry {\n  const jsonMatch = aiResponse.match(/\\{[\\s\\S]*\\}|\\[[\\s\\S]*\\]/);\n  recommendations = jsonMatch ? JSON.parse(jsonMatch[0]) : { raw: aiResponse };\n} catch (e) {\n  recommendations = { raw: aiResponse, error: e.message };\n}\n\nconst report = {\n  generated_at: new Date().toISOString(),\n  homelab_summary: {\n    total_services: inventory.services.length,\n    capabilities: inventory.capabilities,\n    ai_models_available: inventory.ai_models?.length || 0\n  },\n  integration_opportunities: inventory.integration_potential,\n  ai_recommendations: recommendations,\n  priority_integrations: [],\n  quick_wins: []\n};\n\n// Extract priority integrations from AI response\nif (Array.isArray(recommendations)) {\n  report.priority_integrations = recommendations\n    .filter(r => r.complexity === 'low' || r.complexity === 'medium')\n    .slice(0, 5);\n  report.quick_wins = recommendations\n    .filter(r => r.complexity === 'low')\n    .slice(0, 3);\n} else if (recommendations.recommendations) {\n  report.priority_integrations = recommendations.recommendations.slice(0, 5);\n}\n\nreturn [{ json: report }];"
            },
            "id": "build-integration-report",
            "name": "Build Integration Report",
            "type": "n8n-nodes-base.code",
            "typeVersion": 2,
            "position": [
                1250,
                500
            ]
        },
        {
            "parameters": {
                "respondWith": "json",
                "responseBody": "={{ $json }}"
            },
            "id": "webhook-response",
            "name": "Webhook Response",
            "type": "n8n-nodes-base.respondToWebhook",
            "typeVersion": 1,
            "position": [
                1500,
                500
            ]
        }
    ],
    "pinData": {},
    "connections": {
        "Daily at 9 AM": {
            "main": [
                [
                    {
                        "node": "Get All Services",
                        "type": "main",
                        "index": 0
                    },
                    {
                        "node": "Get Prometheus Metrics",
                        "type": "main",
                        "index": 0
                    },
                    {
                        "node": "Get Available AI Models",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Manual Trigger": {
            "main": [
                [
                    {
                        "node": "Get All Services",
                        "type": "main",
                        "index": 0
                    },
                    {
                        "node": "Get Prometheus Metrics",
                        "type": "main",
                        "index": 0
                    },
                    {
                        "node": "Get Available AI Models",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Get All Services": {
            "main": [
                [
                    {
                        "node": "Build Service Inventory",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Get Prometheus Metrics": {
            "main": [
                [
                    {
                        "node": "Build Service Inventory",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Get Available AI Models": {
            "main": [
                [
                    {
                        "node": "Build Service Inventory",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Build Service Inventory": {
            "main": [
                [
                    {
                        "node": "AI Integration Advisor",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "AI Integration Advisor": {
            "main": [
                [
                    {
                        "node": "Build Integration Report",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Build Integration Report": {
            "main": [
                [
                    {
                        "node": "Webhook Response",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        }
    },
    "active": false,
    "settings": {
        "executionOrder": "v1"
    },
    "versionId": "1",
    "meta": {
        "templateCredsSetupCompleted": true,
        "instanceId": "homelab"
    },
    "id": "homelab-integration-advisor",
    "tags": []
}