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- Installation (Docker, manual, LXC) - Configuration guide for all settings - Environmental feeds setup with API key links - Command reference - API reference - Architecture overview - Deployment notes Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
627 lines
21 KiB
Markdown
627 lines
21 KiB
Markdown
# MeshAI
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LLM-powered mesh intelligence assistant for Meshtastic networks. MeshAI connects to your mesh as a physical node, monitors network health in real-time, and answers questions about your infrastructure over LoRa.
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## What It Does
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MeshAI runs on your Meshtastic node and provides:
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- **Mesh Intelligence** — 5-pillar health scoring, per-region breakdowns, infrastructure monitoring, coverage gap analysis, and environmental sensing
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- **Conversational Queries** — ask "how's the mesh?" or "tell me about MHR" and get data-driven answers over LoRa
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- **Node Distance** — GPS-based distance calculations between any two nodes on the mesh
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- **Multi-Source Awareness** — aggregates data from multiple Meshview instances and MeshMonitor with staggered polling
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- **Feeder Gateway Tracking** — identifies which physical MQTT gateways hear each node and signal quality
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- **Subscriptions** — scheduled daily/weekly health reports and instant alerts delivered via DM
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- **LLM Chat** — general conversation, knowledge base lookups, and weather queries
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- **Multi-Backend** — supports Google Gemini, OpenAI, Anthropic Claude, and local LLMs via LiteLLM
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## Quick Start
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```bash
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# Clone
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git clone https://github.com/zvx-echo6/meshai.git
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cd meshai
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# Install
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pip install -e .
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# Configure (interactive TUI)
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meshai --config
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# Run
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meshai
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```
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Or with Docker:
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```bash
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mkdir -p meshai/data && cd meshai
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curl -O https://raw.githubusercontent.com/zvx-echo6/meshai/main/docker-compose.yml
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curl -o data/config.yaml https://raw.githubusercontent.com/zvx-echo6/meshai/main/config.example.yaml
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# Edit data/config.yaml
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docker compose up -d
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```
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## Commands
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| Command | Description |
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|---------|-------------|
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| `!health` | Mesh health overview with colored status dots |
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| `!region` | List all regions with health status |
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| `!region [name]` | Detailed region breakdown |
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| `!neighbors [node]` | Top infrastructure neighbors with signal quality |
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| `!sub daily 6pm` | Subscribe to daily health reports |
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| `!sub weekly 8am sun` | Subscribe to weekly digest |
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| `!sub alerts` | Subscribe to instant alerts on issues |
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| `!unsub [type]` | Remove a subscription |
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| `!mysubs` | List your active subscriptions |
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| `!clear` | Clear conversation history |
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| `!help` | Show available commands |
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| `!help [cmd]` | Detailed help for a command |
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| `!quakes` | Recent earthquakes in monitored area |
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| `!fires` | Active wildfires from NIFC |
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| `!hotspots` | NASA FIRMS satellite fire detections |
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| `!hotspots --new` | Only hotspots not matching known fires |
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| `!traffic` | Traffic incidents from TomTom |
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| `!space` | Space weather conditions (solar/geomagnetic) |
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| `!water` | USGS stream gauge readings |
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| `!air` | Air quality index |
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Commands can be disabled in config if another service (like MeshMonitor) handles them.
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## Mesh Intelligence
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MeshAI continuously polls mesh data sources and computes a 5-pillar health score:
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| Pillar | Weight | What It Measures |
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|--------|--------|------------------|
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| Infrastructure | 30% | Router uptime — how many infra nodes are online |
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| Utilization | 25% | Channel busyness — RF congestion across the mesh |
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| Coverage | 20% | Gateway reach — how many monitoring sources see each node |
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| Behavior | 15% | Traffic patterns — detecting noisy or misconfigured nodes |
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| Power | 10% | Battery health — infrastructure nodes only |
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### Health Display
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`!health` shows a compact overview with personality:
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```
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📡 Mesh 🟢 healthy
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🏗️ 15/16 routers up
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❌ Down: TVM Tablerock Relay
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📶 152 full coverage, 94 on thin ice
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🔥 Hayden Peak Router at 21% util
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🔋 All infra powered ✅
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🌡️ 29-34°C across 2 sensors
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Treasure Valley 🟢 | Magic Valley 🟢
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```
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Status dots: 🔵 perfect (100) · 🟢 healthy (75+) · 🟠 warning (50+) · 🔴 critical (<50)
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### Monitoring Rules
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Infrastructure nodes (routers, repeaters) are monitored individually with full detail — battery, offline alerts, coverage, neighbors, hardware. Client nodes dying is normal and not tracked. Channel utilization and environmental sensors are monitored for all nodes.
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### Conversational Queries
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Ask questions naturally over LoRa:
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- "how's the mesh?" → health overview with top issues
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- "tell me about MHR" → full node detail with neighbors, coverage, feeders
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- "where do we need more coverage?" → named gaps with specific nodes
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- "how far is MHR from AIDA?" → GPS distance calculation
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- "which nodes only reach one gateway?" → named nodes with their gateway
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- "which gateway has the best signal?" → feeder comparison
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### Geographic Regions
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Regions are configurable with local names, descriptions, aliases, and cities — all manageable through the TUI. No hardcoded geography in the code.
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```yaml
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mesh_intelligence:
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regions:
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- name: "South Central ID"
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local_name: "Magic Valley"
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description: "Twin Falls area"
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aliases: ["southern Idaho", "magic valley"]
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cities: ["Twin Falls", "Burley", "Jerome"]
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lat: 42.5
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lon: -114.5
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radius_km: 80
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```
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## Environmental Feeds
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MeshAI integrates real-time environmental data for situational awareness beyond mesh network health.
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### USGS Earthquake Monitoring
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```yaml
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env:
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usgs:
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enabled: true
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min_magnitude: 2.5
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radius_km: 500
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center_lat: 43.6150
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center_lon: -116.2023
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```
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No API key required. Data from [USGS Earthquake Hazards Program](https://earthquake.usgs.gov/fdsnws/event/1/).
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### NWS Weather Alerts
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```yaml
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env:
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nws:
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enabled: true
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zone: IDZ025 # NWS zone ID
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point: "43.6150,-116.2023"
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```
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No API key required. Find your zone at [NWS Zone Lookup](https://alerts.weather.gov/).
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### NOAA Space Weather
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```yaml
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env:
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noaa_space:
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enabled: true
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```
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No API key required. Data from [NOAA SWPC](https://services.swpc.noaa.gov/).
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### NIFC Wildfire Perimeters
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```yaml
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env:
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nifc:
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enabled: true
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radius_km: 200
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center_lat: 43.6150
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center_lon: -116.2023
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```
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No API key required. Data from [NIFC Open Data](https://data-nifc.opendata.arcgis.com/).
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### NASA FIRMS Satellite Fire Detection
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```yaml
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env:
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firms:
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enabled: true
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map_key: "your-map-key" # Required
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radius_km: 200
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center_lat: 43.6150
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center_lon: -116.2023
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source: VIIRS_SNPP # VIIRS_SNPP, VIIRS_NOAA20, MODIS_NRT
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day_range: 1 # 1, 2, or 10 days
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```
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**API Key Required**: Register at [NASA FIRMS](https://firms.modaps.eosdis.nasa.gov/api/area/). Free MAP_KEY provides access to near real-time satellite fire detections. Hotspots are cross-referenced against NIFC perimeters to identify potential new ignitions.
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### TomTom Traffic
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```yaml
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env:
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tomtom:
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enabled: true
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api_key: "your-api-key" # Required
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bbox: "-117.5,42.5,-115.0,44.5" # lon1,lat1,lon2,lat2
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```
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**API Key Required**: Register at [TomTom Developer Portal](https://developer.tomtom.com/). Free tier includes 2,500 requests/day.
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### 511 Road Conditions
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```yaml
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env:
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fiveonone:
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enabled: true
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state: ID # State code
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api_key: "your-api-key" # If required by state
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bbox: [-117.5, 42.5, -115.0, 44.5]
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```
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API key requirements vary by state. Check your state's 511 developer portal.
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### USGS Water Services
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```yaml
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env:
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usgs_water:
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enabled: true
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sites: ["13206000", "13202000"] # USGS site numbers
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```
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No API key required. Find sites at [USGS Water Services](https://waterservices.usgs.gov/).
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### AirNow Air Quality
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```yaml
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env:
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airnow:
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enabled: true
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api_key: "your-api-key" # Required
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zipcode: "83702"
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```
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**API Key Required**: Register at [AirNow API](https://docs.airnowapi.org/).
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### Dashboard Configuration
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```yaml
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dashboard:
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enabled: true
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host: 0.0.0.0
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port: 8080
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```
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The web dashboard provides real-time visualization of mesh nodes, environmental conditions, and alerts with WebSocket push notifications.
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---
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## Data Sources
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MeshAI aggregates from multiple sources using staggered tick-based polling (one API call per 30-second tick):
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### Meshview
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Unauthenticated REST API. Supports multiple instances.
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| Endpoint | Interval | Data |
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|----------|----------|------|
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| `/api/packets` | 30s | Near real-time packet feed |
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| `/api/nodes` | 2 min | Node list with metadata |
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| `/api/stats` | 3 min | Traffic statistics |
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| `/api/edges` | 3 min | Node-to-node connections |
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| `/api/traceroutes` | 5 min | Route data |
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| `/api/packets_seen` | 10 min | Per-gateway RSSI/SNR (sampled) |
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### MeshMonitor
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Authenticated (Bearer token). Single instance.
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| Endpoint | Interval | Data |
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|----------|----------|------|
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| `/api/v1/packets` | 60s | Packet feed |
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| `/api/v1/nodes` | 2 min | Nodes with battery, utilization, hardware |
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| `/api/v1/telemetry` | 2 min | Environmental sensors, device metrics |
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| `/api/v1/traceroutes` | 5 min | Route data |
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| `/api/v1/channels` | 5 min | Channel configuration |
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| `/api/v1/network` | 5 min | Network statistics |
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| `/api/v1/solar` | 10 min | Solar estimates |
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### Rate Limiting
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Built-in protection for all sources: HTTP 429 backoff with Retry-After, exponential backoff on consecutive errors, slow response warnings, and optional polite mode for shared instances.
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### Source Configuration
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```yaml
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mesh_sources:
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- name: "local-meshview"
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type: meshview
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url: "http://192.168.1.100:8080"
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enabled: true
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- name: "meshmonitor"
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type: meshmonitor
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url: "http://192.168.1.100:3333"
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api_token: "your-bearer-token"
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enabled: true
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```
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## Knowledge Base (RAG)
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MeshAI uses a hybrid knowledge retrieval system with two backends:
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### Primary: RECON Qdrant Backend
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Queries [RECON](https://forge.echo6.co/matt/recon)'s knowledge extraction pipeline — 2.8M+ vectors covering survival skills, communications, medical, technical documentation, Meshtastic docs, and more. Uses the same embedding infrastructure as RECON:
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- **Dense embeddings**: TEI service with BAAI/bge-m3 (1024-dim)
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- **Sparse embeddings**: bge-m3-sparse with IDF modifier
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- **Search**: Qdrant hybrid with Reciprocal Rank Fusion (dense + sparse)
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No data is copied — MeshAI queries RECON's Qdrant and TEI services over the network.
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```yaml
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knowledge:
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enabled: true
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backend: auto # "qdrant", "sqlite", or "auto" (try qdrant, fall back)
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qdrant_host: "192.168.1.150"
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qdrant_port: 6333
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qdrant_collection: "recon_knowledge_hybrid"
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tei_host: "192.168.1.150"
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tei_port: 8090
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sparse_host: "192.168.1.150"
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sparse_port: 8091
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use_sparse: true
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top_k: 5
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```
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### Fallback: Local SQLite
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If the Qdrant backend is unreachable, MeshAI falls back to a local SQLite knowledge base using FTS5 keyword search and `bge-small-en-v1.5` vector embeddings (384-dim).
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```bash
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# Build from Meshtastic ZIM file
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python scripts/zim_to_knowledge.py meshtastic.zim --output knowledge.db
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```
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```yaml
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knowledge:
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enabled: true
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backend: sqlite
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db_path: /data/meshai_knowledge.db
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top_k: 5
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```
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Requires `sqlite-vec` and `fastembed` for the SQLite backend.
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## Architecture
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```
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┌──────────────────────────────────────────────────────────────────────┐
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│ MeshAI │
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├──────────────────────────────────────────────────────────────────────┤
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│ │
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│ DATA SOURCES INTELLIGENCE DELIVERY │
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│ ┌─────────────┐ ┌──────────────┐ ┌────────────┐ │
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│ │ Meshview ×N │─────┐ │ Health Engine │────────▶│ Reporter │ │
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│ │ (staggered) │ │ │ 5-pillar │ │ Tier 1/2 │ │
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│ └─────────────┘ ▼ │ scoring │ └─────┬──────┘ │
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│ ┌─────────────┐ ┌──────┴──┐ │ │ │
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│ │ MeshMonitor │─▶│ Data │─┘ │ ┌─────▼──────┐ │
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│ │ (staggered) │ │ Store │ │ │ Router │ │
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│ └─────────────┘ │ SQLite │ │ │ scope/dist │ │
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│ └─────────┘ │ └─────┬──────┘ │
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│ │ │ │ │
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│ ┌────▼────┐ ┌─────▼──────┐ ┌────▼────┐ │
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│ │ Feeder │ │ LLM │ │ Chunker │ │
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│ │ Sampling│ │ Backend │ │LoRa-fit │ │
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│ └─────────┘ └────────────┘ └────┬────┘ │
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│ │ │
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│ KNOWLEDGE ALERTS DELIVERY │ │
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│ ┌─────────────┐ ┌─────────────┐ ┌──────────────┐ │ │
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│ │ RECON/Qdrant│ │ Alert │ │ Subscription │ │ │
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│ │ 2.8M vectors│ │ Engine │ │ Manager │ │ │
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│ │ (network) │ │ 17 triggers │ │ daily/weekly │ │ │
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│ ├─────────────┤ │ scaling │ │ alerts │ │ │
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│ │ SQLite FTS5 │ │ cooldown │ └──────┬───────┘ │ │
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│ │ (fallback) │ └──────┬──────┘ │ │ │
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│ └─────────────┘ │ ┌─────▼────────┐ │ │
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│ └─────────▶│ Responder │◀──┘ │
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│ ┌─────────────┐ │ ACK-paced DM │ │
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│ │ Conversation│ │ Channel alert│ │
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│ │ History │ └──────────────┘ │
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│ └─────────────┘ │
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│ │
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└───────────────────────────────────────────────────────────────────┘
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│ │
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┌────▼────┐ ┌────▼────┐
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│ TEI │ │ Qdrant │
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│ bge-m3 │ │ hybrid │
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│ cortex │ │ cortex │
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└─────────┘ └─────────┘
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```
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## Dashboard API Reference
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The dashboard exposes a REST API (default port 8080):
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### Core Endpoints
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| Endpoint | Method | Description |
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|----------|--------|-------------|
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| `/api/health` | GET | System health check |
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| `/api/status` | GET | Full system status with health scores |
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| `/api/nodes` | GET | Connected mesh nodes |
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| `/api/messages` | GET | Recent mesh messages |
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### Environmental Data
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| Endpoint | Method | Description |
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|----------|--------|-------------|
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| `/api/env/earthquakes` | GET | Recent earthquakes |
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| `/api/env/weather` | GET | Weather conditions and alerts |
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| `/api/env/fires` | GET | Active wildfires from NIFC |
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| `/api/env/hotspots` | GET | NASA FIRMS satellite detections |
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| `/api/env/traffic` | GET | Traffic incidents |
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| `/api/env/water` | GET | Stream gauge readings |
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| `/api/env/space` | GET | Space weather data |
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| `/api/env/air` | GET | Air quality readings |
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### Alerts
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| Endpoint | Method | Description |
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|----------|--------|-------------|
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| `/api/alerts/active` | GET | Currently active alerts |
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| `/api/alerts/history` | GET | Historical alerts (`?severity=`, `?source=`, `?limit=`, `?offset=`) |
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| `/api/alerts/{id}/ack` | POST | Acknowledge an alert |
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| `/api/subscriptions` | GET | Alert subscriptions |
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### WebSocket
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Connect to `/ws` for real-time updates:
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```javascript
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const ws = new WebSocket('ws://localhost:8080/ws');
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ws.onmessage = (event) => {
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const data = JSON.parse(event.data);
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// data.type: 'message', 'alert', 'node_update', 'health_update'
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};
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```
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## Message Chunking
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Long responses are split into mesh-friendly chunks with sentence-aware splitting, configurable limits, and continuation prompts. Command output (like `!health`) packs multiple lines into 2-3 messages using newlines within each message to minimize airtime usage.
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```yaml
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response:
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max_length: 200 # Max chars per message
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max_messages: 3 # Messages before continuation prompt
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```
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## Alerting
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Real-time alerts when mesh conditions change, with scaling cooldowns to prevent spam.
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### Alert Conditions (17 total, each toggleable)
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| Pillar | Condition | Default Threshold |
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|--------|-----------|-------------------|
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| Infrastructure | Router goes offline | — |
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| Infrastructure | Router recovery | — |
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| Infrastructure | New router appears | — |
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| Power | Battery warning | <50% |
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| Power | Battery critical | <25% |
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| Power | Battery emergency | <10% |
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| Power | 7-day declining trend | >10% drop with rate |
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| Power | USB → battery (power outage) | — |
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| Power | Solar not charging during day | — |
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| Utilization | Sustained high utilization | >20% for 6h |
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| Utilization | Packet flood | >500 pkts/24h |
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| Coverage | Infra drops to single gateway | — |
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| Coverage | Feeder gateway stops responding | — |
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| Coverage | Region total blackout | All infra offline |
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| Scores | Mesh health score drop | <70/100 |
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||
| Scores | Region health score drop | <60/100 |
|
||
|
||
### Scaling Cooldown
|
||
|
||
Alerts don't spam. When a condition triggers:
|
||
1. **Alert 1**: fires immediately
|
||
2. **Alert 2**: 12 hours later (if still in condition)
|
||
3. **Alert 3**: 24 hours after that
|
||
4. **Alert 4**: 48 hours after that
|
||
5. **Stops** until condition resolves
|
||
|
||
When the condition clears, one recovery notification fires and the tracker resets.
|
||
|
||
### Delivery
|
||
|
||
Alerts are delivered two ways:
|
||
- **Channel broadcast**: configurable channel index for mesh-wide visibility
|
||
- **DM to subscribers**: users who ran `!sub alerts` receive DMs matching their scope
|
||
|
||
### Critical Nodes
|
||
|
||
Designate important infrastructure (e.g., MHR, HPR) as critical. When a critical node goes offline, alerts use priority formatting.
|
||
|
||
```yaml
|
||
mesh_intelligence:
|
||
critical_nodes: ["MHR", "HPR"]
|
||
alert_channel: 0 # Channel for broadcast alerts (-1 = disabled)
|
||
```
|
||
|
||
All conditions and thresholds are configurable via the TUI under Mesh Intelligence → Alert Rules.
|
||
|
||
## LLM Configuration
|
||
|
||
```yaml
|
||
llm:
|
||
backend: "google" # openai, anthropic, google
|
||
api_key: "your-api-key"
|
||
model: "gemini-2.0-flash"
|
||
```
|
||
|
||
### Local LLMs
|
||
|
||
MeshAI works with any OpenAI-compatible API:
|
||
|
||
- **LiteLLM**: `base_url: "http://localhost:4000/v1"`
|
||
- **Open WebUI**: `base_url: "http://localhost:3000/api"`
|
||
- **Ollama**: `base_url: "http://localhost:11434/v1"`
|
||
|
||
## Docker
|
||
|
||
### TCP Connection (recommended)
|
||
|
||
```yaml
|
||
connection:
|
||
type: "tcp"
|
||
tcp_host: "192.168.1.100"
|
||
tcp_port: 4403
|
||
```
|
||
|
||
### Serial Connection
|
||
|
||
```yaml
|
||
connection:
|
||
type: "serial"
|
||
serial_port: "/dev/ttyUSB0"
|
||
```
|
||
|
||
Edit `docker-compose.serial.yml` to match your device path.
|
||
|
||
### Environment Variables
|
||
|
||
```bash
|
||
LLM_API_KEY=your-key-here docker compose up -d
|
||
```
|
||
|
||
## Running Alongside Other Services
|
||
|
||
### advBBS
|
||
|
||
MeshAI coexists with [advBBS](https://github.com/zvx-echo6/advbbs) on the same node. BBS protocol messages (sync, RAP, mail notifications) are automatically filtered. No configuration needed.
|
||
|
||
```yaml
|
||
bot:
|
||
filter_bbs_protocols: true
|
||
```
|
||
|
||
### MeshMonitor
|
||
|
||
MeshAI integrates with [MeshMonitor](https://github.com/Yeraze/meshmonitor) at two levels: it fetches MeshMonitor's auto-responder patterns to avoid duplicate responses, and it uses MeshMonitor's API as a data source for mesh intelligence (battery, telemetry, traceroutes, solar).
|
||
|
||
```yaml
|
||
meshmonitor:
|
||
enabled: true
|
||
url: "http://192.168.1.100:8080"
|
||
inject_into_prompt: true
|
||
refresh_interval: 300
|
||
```
|
||
|
||
## Running as a Service
|
||
|
||
```ini
|
||
# /etc/systemd/system/meshai.service
|
||
[Unit]
|
||
Description=MeshAI - Meshtastic Mesh Intelligence
|
||
After=network.target
|
||
|
||
[Service]
|
||
Type=simple
|
||
User=your-user
|
||
WorkingDirectory=/path/to/meshai
|
||
ExecStart=/usr/bin/python3 -m meshai
|
||
Restart=always
|
||
RestartSec=10
|
||
|
||
[Install]
|
||
WantedBy=multi-user.target
|
||
```
|
||
|
||
```bash
|
||
sudo systemctl daemon-reload
|
||
sudo systemctl enable meshai
|
||
sudo systemctl start meshai
|
||
```
|
||
|
||
## Acknowledgments
|
||
|
||
- [Meshtastic](https://meshtastic.org/) — the mesh networking platform
|
||
- [MeshMonitor](https://github.com/Yeraze/meshmonitor) by Yeraze — monitoring integration and data source
|
||
- [advBBS](https://github.com/zvx-echo6/advbbs) — BBS coexistence design
|
||
- [sqlite-vec](https://github.com/asg017/sqlite-vec) by Alex Garcia — vector search in SQLite
|
||
- [fastembed](https://github.com/qdrant/fastembed) by Qdrant — fast local embeddings
|
||
|
||
## License
|
||
|
||
MIT License
|
||
|
||
## Author
|
||
|
||
K7ZVX - matt@echo6.co
|