# Homelab n8n Monitoring Workflows

This directory contains intelligent n8n workflows for monitoring and integrating your homelab infrastructure using AI-powered analysis.

## 📋 Workflows

### 1. **Homelab Health Monitor** (`homelab-health-monitor.json`)
**Purpose:** Comprehensive health monitoring of all homelab services  
**Schedule:** Every 15 minutes (or manual via webhook)  
**Features:**
- Network connectivity checks (internet + internal DNS)
- Docker Swarm service status monitoring
- Service endpoint validation (Komodo, OpenWebUI, Paperless, Prometheus, LM Studio)
- AI-powered health analysis using LM Studio
- Health scoring (0-100) and automated alerting

**Webhook:** `POST https://n8n.sj98.duckdns.org/webhook/health-check`

### 2. **Homelab Log Analyzer** (`homelab-log-analyzer.json`)
**Purpose:** Automated AI analysis of Docker service logs  
**Schedule:** Every 6 hours  
**Features:**
- Collects logs from critical services (Traefik, n8n, OpenWebUI, Komodo, Prometheus)
- Parses ERROR, WARN, CRITICAL patterns
- AI analysis of log patterns and issues
- Generates actionable recommendations
- Alerts on high error counts

> **💡 For Manual Log Viewing:** Use **Dozzle** at your configured URL for real-time, interactive log viewing with a beautiful web interface. This workflow is for automated AI-powered analysis and alerting.

### 3. **Homelab Integration Advisor** (`homelab-integration-advisor.json`)
**Purpose:** AI-powered service integration recommendations  
**Schedule:** Daily at 9 AM (or manual via webhook)  
**Features:**
- Discovers all running services and capabilities
- Identifies integration opportunities
- AI generates specific n8n workflow patterns
- Prioritizes by complexity and value
- Provides step-by-step implementation guidance

**Webhook:** `POST https://n8n.sj98.duckdns.org/webhook/integration-advisor`

## 🚀 Installation

### 1. Import Workflows
```bash
# Option A: Via n8n UI
1. Open n8n at https://n8n.sj98.duckdns.org
2. Click "Workflows" → "Import from File"
3. Select each JSON file from this directory

# Option B: Via API (if API enabled)
cd /workspace/homelab/services/n8n/workflows
curl -X POST https://n8n.sj98.duckdns.org/api/v1/workflows \
  -H "Content-Type: application/json" \
  -H "X-N8N-API-KEY: your-api-key" \
  -d @homelab-health-monitor.json
```

### 2. Configure AI Model
Edit each workflow and set your preferred LM Studio model:
- **Health Monitor:** Uses `deepseek-r1-distill-llama-8b` (reasoning)
- **Log Analyzer:** Uses `qwen2.5-coder-7b-instruct` (technical analysis)
- **Integration Advisor:** Uses `deepseek-r1-distill-llama-8b` (planning)

Available models on your LM Studio instance (.81:1234):
- `deepseek-r1-distill-llama-8b`
- `qwen2.5-coder-7b-instruct`
- `qwen/qwen3-coder-30b`
- `mistralai/codestral-22b-v0.1`
- `google/gemma-3-12b`

### 3. Activate Workflows
1. Open each workflow
2. Toggle "Active" switch in top right
3. Verify schedule trigger is enabled

## 🔧 Configuration

### LM Studio Connection
The workflows connect to LM Studio via the `lm-studio` hostname (mapped to 192.168.1.81:1234 via `extra_hosts` in n8n-stack.yml).

**Test connection:**
```bash
docker exec <n8n-container-id> curl http://lm-studio:1234/v1/models
```

### Notifications (Optional)
To enable alerts, add these nodes to each workflow:
- **Email:** Use n8n's Email node with SMTP credentials
- **Discord:** Use Webhook node with Discord webhook URL
- **Slack:** Use Slack node with OAuth credentials
- **Home Assistant:** Send to `http://homeassistant.local:8123/api/webhook/n8n-alert`

## 📊 Recommended Integration Patterns

Based on your homelab services, here are high-value integrations to implement:

### 1. **AI-Powered Document Processing**
**Services:** n8n → Paperless → OpenWebUI  
**Pattern:** Auto-tag and summarize uploaded documents using AI
```
Trigger: Paperless webhook (new document)
→ Get document content
→ Send to LM Studio for tagging/summary
→ Update Paperless tags and notes
```

### 2. **Metric-Based Automation**
**Services:** Prometheus → n8n → Docker/Komodo  
**Pattern:** Auto-restart services on high resource usage
```
Trigger: Prometheus AlertManager webhook
→ Parse alert (high CPU/memory)
→ Execute docker service update --force <service>
→ Send notification
```

### 3. **Smart Search Integration**
**Services:** SearXNG → OpenWebUI  
**Pattern:** Enhanced AI chat with web search capability
```
Trigger: OpenWebUI webhook or manual
→ Query SearXNG for context
→ Send results + query to LM Studio
→ Return AI response with citations
```

### 4. **Backup Automation**
**Services:** n8n → All Services → Storage  
**Pattern:** Automated backup verification and reporting
```
Schedule: Daily at 2 AM
→ Trigger OMV backup scripts
→ Verify backup completion
→ Calculate backup sizes
→ AI analysis of backup health
→ Send report
```

### 5. **Development Pipeline**
**Services:** Gitea → Komodo → n8n  
**Pattern:** GitOps deployment automation
```
Trigger: Gitea webhook (push to main)
→ Parse commit info
→ Trigger Komodo deployment
→ Monitor deployment status
→ Run health checks
→ Send notification
```

## 🐛 Troubleshooting

### Connection to LM Studio Fails
```bash
# Check if extra_hosts is configured
docker service inspect n8n_n8n | grep -A 5 ExtraHosts

# Test from n8n container
docker exec $(docker ps -q -f name=n8n) curl http://lm-studio:1234/v1/models

# Verify LM Studio is running on .81
curl http://192.168.1.81:1234/v1/models
```

### Docker Commands Fail
```bash
# Verify Docker socket is mounted
docker service inspect n8n_n8n | grep -A 2 docker.sock

# Test from n8n container
docker exec $(docker ps -q -f name=n8n) docker ps
```

### Workflows Don't Execute
- Check n8n logs: `docker service logs n8n_n8n --tail 100`
- Verify workflow is activated (toggle in UI)
- Check schedule trigger settings
- Ensure n8n has sufficient resources (increase memory/CPU limits)

## � Log Viewing

### Interactive Log Viewing with Dozzle
For **manual, real-time log viewing**, use **Dozzle** - it's already part of your homelab:

**Access:** Check your Traefik/Portainer configuration for the Dozzle URL

**Features:**
- Real-time log streaming with color coding
- Multi-container view
- Search and filter logs
- No configuration needed - automatically discovers containers
- Beautiful, responsive web UI

**Use Dozzle when you need to:**
- Investigate specific issues in real-time
- Follow logs during deployments
- Debug container startup problems
- Search for specific error messages

### Automated Log Analysis (This Workflow)
The **Homelab Log Analyzer** workflow complements Dozzle by:
- Running periodically (every 6 hours) to catch issues you might miss
- Using AI to identify patterns across multiple services
- Sending proactive alerts before issues escalate
- Providing trend analysis over time

**Both tools serve different purposes and work great together!**

---

## �📈 Next Steps

1. **Import and test** each workflow manually
2. **Configure notifications** (email/Discord/Slack)
3. **Review AI recommendations** from Integration Advisor
4. **Implement priority integrations** suggested by AI
5. **Monitor health scores** and adjust thresholds
6. **Create custom workflows** based on your specific needs

## 🔗 Useful Links

- **n8n Documentation:** https://docs.n8n.io
- **LM Studio API:** http://lm-studio:1234 (OpenAI-compatible)
- **Prometheus API:** http://prometheus.sj98.duckdns.org/api/v1
- **Dozzle Logs:** Your Dozzle URL (real-time log viewer)
- **Docker API:** Unix socket at `/var/run/docker.sock`

## 💡 Tips

- **Use Dozzle for interactive debugging**, workflows for automated monitoring
- Start with manual triggers before enabling schedules
- Use AI model with appropriate context window for your data
- Monitor n8n resource usage - increase limits if needed
- Keep workflows modular - easier to debug and maintain
- Save successful execution results for reference