Files changed: ", c.get(k))\nPY\n\\\"\n\"" engine/config.yaml engine/lib/lint.py engine/lib/vocab_gen.py engine/lint-report.md engine/sweep.sh vault/.obsidian/workspace.json vault/archive/projects/meshai-native-fire-severity-audit-cc-handoff.md vault/archive/projects/vaultwarden-plan.md vault/docs/matrix/matrix_host.md vault/docs/matrix/synapse.md vault/docs/services/services.md vault/docs/software/authentik.md vault/docs/software/caddy.md vault/docs/software/dns.md vault/docs/software/recon.md vault/docs/software/searxng.md vault/glossary.md vault/notes/echo6-landing-page-data-export.md vault/projects/matrix-synapse-deployment.md vault/projects/meshai.md vault/projects/meshtastic-headscale-runbook.md vault/projects/mmud-project.md vault/runbooks/add-peertube-channel.md vault/runbooks/authentik-access-groups.md vault/runbooks/authentik-create-invitation.md vault/runbooks/authentik-oidc-application.md vault/runbooks/authentik-upgrade.md vault/runbooks/expose-service-contabo.md vault/runbooks/lxc-service-migration.md vault/runbooks/mailcow-create-mailbox.md vault/runbooks/meshtastic-sidecar-node.md vault/runbooks/meshtasticd-sim-nodes-runbook.md vault/runbooks/proxmox-create-ubuntu-vm.md vault/runbooks/recon-operations.md vault/runbooks/recon-service-integration.md vault/runbooks/syncthing-add-node.md
63 lines
5 KiB
Markdown
63 lines
5 KiB
Markdown
---
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title: meshai
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type: project
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tags:
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- mesh
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- ai
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aliases:
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- meshai
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- MeshAI
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related:
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- [[services]]
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- [[meshcore-transport]]
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- [[central]]
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updated: 2026-07-11
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---
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# meshai
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meshai is the LLM-powered LoRa-mesh assistant/gateway for the local Treasure/Magic Valley Meshtastic mesh — it ingests real-world event feeds and broadcasts concise alerts, and answers interactive LLM queries from mesh users (see [[services]]; MeshCore dual-transport design in [[meshcore-transport]]).
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## What it is
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meshai (bot name **AIDA**) attaches to the mesh as a physical node and does two jobs at once:
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- **Outbound alerts.** It consumes real-world situational-awareness feeds (weather, wildfire, traffic/511, space weather, earthquakes, water, satellite passes, …), normalizes them into events, and broadcasts short, chunked alerts to the mesh.
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- **Interactive assistant.** Mesh users message it directly and get data-driven LLM answers over LoRa — mesh-health questions ("how's the mesh?"), knowledge/weather queries, and command handlers (`!health`, `!region`, `!neighbors`, `!fires`, `!quakes`, `!space`, `!water`, subscriptions, etc.).
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The LLM backend is gemini-3.1-flash-lite with Google Search grounding (multi-backend capable — Gemini / OpenAI / Anthropic / local via LiteLLM). Conversation memory is a rolling window persisted to SQLite.
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## Where it runs
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- **Host:** utility, **CT 108** — `192.168.1.144` / Tailscale **`100.64.0.32`**.
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- **Runtime:** Docker, image **`work-meshai`** (local build, *not* `ghcr.io/zvx-echo6/meshai:latest`). Working tree + compose live in `/home/zvx/meshai/work/`.
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- **Ports:** `8080` — dashboard / web API (`/api/status`); `7682` — config TUI (ttyd, `meshai --config`).
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- **Liveness:** container healthcheck is a PID-file liveness probe (`/tmp/meshai.pid`), not an HTTP endpoint.
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- **Mesh link:** connects over **IP to MeshMonitor's virtual-node (vnode) service**, which fronts the actual Meshtastic radio (a meshtasticd node — ultimately AIDA-N2 / channel 8 on **aida-nebra**). Everything is over the network; there is no radio physically attached to the meshai host. meshai *can* also connect directly to a meshtasticd over TCP, but the deployed configuration routes over IP/TCP to MeshMonitor's virtual node.
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- **Source:** GitHub `origin` = `zvx-echo6/meshai`. Deploy = git pull + `docker compose build && up -d` (survives reboot).
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- **Distinct from** the [[central]] service (utility CT 104) — meshai is a *consumer* of Central's feed, not Central itself.
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## Architecture
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The pipeline is feeds → events → notifications → mesh, plus a separate inbound interactive path.
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- **Central consumer** (`meshai/central/`). `CentralConsumer` (`consumer.py`) subscribes to [[central]]'s NATS JetStream firehose and hands each event to a per-adapter handler that normalizes it into a meshai event. Real handlers present:
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- `nws_handler` — NWS weather alerts
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- `wfigs_handler` — WFIGS wildfire perimeters/incidents
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- `firms_handler` — NASA FIRMS satellite fire hotspots
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- `incident_handler` — traffic incidents / Idaho 511
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- `swpc_handler` — SWPC space weather
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- `quake_handler` — earthquakes
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- `avy_handler` — avalanche advisories
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- `nwis_handler` (+ `idaho_gauge_sites`) — USGS NWIS stream gauges / hydro
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- `satpass_handler` (+ `pass_predictor`, `tle_handler`) — satellite pass prediction from TLEs
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- **Notifications pipeline** (`meshai/notifications/`). Events flow through a bus/dispatcher with grouping, digesting, inhibition, pacing, scheduling and toggle filtering (`pipeline/`), then a composer → renderers → channels. The **mesh renderer** (`renderers/mesh.py`) does the `(k/N)` chunking that fits an alert into LoRa-sized packets; other renderers cover email/webhook.
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- **Transport (outbound).** `MeshConnector` (`connector.py`) wraps the `meshtastic` package (serial/TCP, no BLE) and broadcasts to the mesh channel. Message-size assumptions are currently duplicated across several sites — the consolidation to a single `transport.max_chars` is part of [[meshcore-transport]].
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- **Inbound / interactive.** meshtastic pubsub → `MessageRouter` (`router.py`) builds a `MeshMessage`, routes commands/LLM queries → the LLM → `Responder` (`responder.py`) sends the reply back over the same connector.
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- **Network awareness.** meshai pulls a live picture of the mesh from **MeshView** and **MeshMonitor** (`mesh_sources.py`, `meshmonitor.py`, `mesh_health.py`, `mesh_data_store.py`) to feed the LLM situational context and compute a 5-pillar mesh-health score.
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## Active / planned work
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- [[meshcore-transport]] — proposed dual Meshtastic + MeshCore transport (send/receive on both meshes simultaneously; uniform message sizing to the smaller radio budget). Design agreed; open on hardware, the `meshcore` dependency, and branch timing.
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- NWS severity normalization — CAP-severity pre-filter removed; NWS breadth is now governed solely by the dashboard Weather toggle threshold (warnings broadcast immediately).
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- Fire-path correctness — WFIGS/FIRMS fire correlation and drain/pacer spam controls on the fire feed.
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