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TeslaSync

TeslaSync

Self-hosted Tesla fleet intelligence โ€” with Helix AI built in.
Telemetry, analytics, automation, remote control, and an opt-in AI assistant for one car or a fleet โ€” all on infrastructure you control.

What it does โ€ข Helix AI โ€ข Remote control โ€ข Quick start โ€ข Architecture โ€ข Documentation โ€ข Contributing

Go 1.25 React 18 TimescaleDB License


What it does

TeslaSync is a self-hosted platform that turns your Tesla data into a real product: ingestion, history, dashboards, alerts, automations, remote commands, and an optional AI assistant called Helix. Everything runs in Docker or Kubernetes on hardware you control. Your telemetry never leaves your network unless you choose to send it somewhere.

At a glance

Backend Go 1.25 ยท Chi v5 ยท pgx v5 ยท zerolog ยท Prometheus ยท OpenTelemetry
Frontend React 18 + TypeScript ยท Vite 5 ยท TanStack Query 5 ยท Tailwind ยท Framer Motion ยท i18next
Storage PostgreSQL 17 + TimescaleDB ยท pgvector ยท Redis 7
Streaming Tesla Fleet Telemetry (gRPC) ยท MQTT ยท SSE ยท polling fallback
Deployment Docker Compose (13 services) ยท Helm chart
Vehicle control 65+ Tesla command endpoints via Fleet API or Vehicle Command Proxy
AI Helix โ€” 54 opt-in user features powered by a pluggable provider chain
Schema 197 numbered SQL migrations ยท TimescaleDB hypertable for signal_log
Frontend feature areas 21 (admin, analytics, automations, battery, charging, dashboard, diagnostics, driving, exports, maps, notifications, onboarding, power-user, settings, sharing, system, telemetry, trips, vehicle-systems, vehicles, watch)

Helix AI

Helix is TeslaSync's optional AI layer. The brand mark (HelixMark) appears anywhere AI is in play โ€” sidebar nav, chatbot avatar, feature badges, AI settings header.

Off by default, opt-in per feature. There is no global "AI on" switch. Each Helix feature is individually enabled from Settings โ†’ AI. Disabled features are invisible: their HTTP routes return 404, their React routes mount no AI UI, their background jobs and push notifications never fire.

Surfaces

Surface Route What it is
Helix Chat /chatbot Conversational assistant with tool-use over your fleet data
AI Settings /settings/ai Per-feature toggles, provider config, usage card, redaction controls
AI Usage Card /settings/ai Per-call audit log + spend visualisation across providers
AI Restore Panel /settings/ai Re-issue a past AI answer from the audit log
Inline AI components various pages 55+ AI*.tsx widgets gated by withAiFeature

The 54 features (grouped)

Narratives & summaries Weekly digest narration ยท Year-in-review narration ยท Period-compare narration ยท TCO narration ยท Cost-forecast narration ยท Battery-health forecast narrative ยท Cabin-temperature impact narrative ยท Vampire-drain explanation

Natural-language builders NL alert rule builder ยท NL automation builder ยท NL dashboard composer ยท NL Grafana panel builder ยท NL SQL playground ยท NL drive search & replay ยท NL signal-explorer filter ยท NL search

Predictions & ML Range prediction model ยท Predictive maintenance ยท Smart charge schedule ยท Preheat / precool recommender ยท Charging-curve fingerprint clustering ยท ML charging-curve clustering ยท Learned per-vehicle anomaly baselines

Explainers & coaching Drive coaching ยท Safety-setting explainer ยท Anomaly explanations ยท MQTT / SSE inspector explanations ยท State-machine debugger narrator ยท Log / trace summarization ยท Software-update changelog summarizer ยท Incident timeline summarizer ยท Charging diagnosis ยท Speed-profile insights ยท Route-efficiency suggestions ยท Tire-pressure trend reasoning

Automation & operations Alert-tuning suggestions ยท Cross-rule conflict detection ยท Quiet-hours suggestion ยท Inbox auto-categorization ยท Feedback-queue triage ยท Data-repair suggestions ยท Geofence-aware automation suggestions ยท Suggest new geofences ยท Auto-name unnamed locations ยท Auto trip naming

Multimodal & misc Voice mode ยท Watch-face NL response ยท Trip planner LLM agent ยท Trip postcard share-card image generation ยท Vehicle paint preview ยท PII redaction for shared exports ยท RAG help ยท Lifetime stats Q&A ยท Chatbot LLM

Plus 3 ops-only features: AI Usage Card, AI Provider Health, AI Redaction Bypass Report โ€” also off by default.

How Helix stays trustworthy

  • Single source of truth โ€” every feature lives in internal/ai/features/registry.go. Adding a feature means adding an entry, not touching the form. The frontend mirror web/src/ai/features.ts is generated by tools/aigen; CI runs go run ./tools/aigen --check and blocks merge if the two drift.
  • Off-by-default contract โ€” verified by tools/aivet and a final-gate test suite. Every surface (HTTP route, React route, background job, push kind) is enumerated in the registry and walked in CI to assert that ai_mode='off' produces 404s, no DOM nodes carrying data-ai-feature, no job execution, and no push delivery.
  • Per-call audit log โ€” every invocation is recorded with feature ID, provider, latency, token counts, and redaction status. Visible in the AI Usage Card.
  • Outbound PII redaction โ€” every request passes through an F8 redact decorator before leaving the network. Per-(feature, provider) bypass events are surfaced in the Redaction Bypass Report.
  • Pluggable provider chain โ€” adapters for OpenAI, Azure OpenAI, Anthropic, and local Ollama; primary + fallback configurable per feature.
  • Strict per-feature gate โ€” g.Wrap("<feature-id>", handler) wraps every route; withAiFeature("<feature-id>") wraps every React component; aivet refuses to build if either is missing.

Full Helix documentation: docs/guide/helix-ai.md.


Remote vehicle control

TeslaSync exposes 65 unique Tesla Fleet API command endpoints organised by domain. Commands that require Tesla's signed-command envelope (Model 3/Y from 2021+, all Model S/X refresh, all Cybertruck) are routed automatically through a Vehicle Command Proxy when one is configured; wake_up always goes direct to Fleet API.

Category Endpoints Examples
Wake 1 wake_up
Security & access 10 door_lock, door_unlock, set_sentry_mode, speed_limit_activate/deactivate/set_limit/clear_pin/clear_pin_admin, guest_mode, erase_user_data
Valet & PIN-to-drive 5 set_valet_mode, reset_valet_pin, set_pin_to_drive, reset_pin_to_drive_pin, clear_pin_to_drive_admin
Climate 3 auto_conditioning_start/stop, set_temps
Seat & steering heat 6 remote_seat_heater_request, remote_seat_cooler_request, remote_auto_seat_climate_request, remote_steering_wheel_heater_request, remote_steering_wheel_heat_level_request, remote_auto_steering_wheel_heat_climate_request
Climate protection 7 set_bioweapon_mode, set_cabin_overheat_protection (incl. fan-only), set_cop_temp, set_climate_keeper_mode (Off / Keep / Dog / Camp), set_preconditioning_max
Charging 8 charge_port_door_open/close, charge_start, charge_stop, set_charge_limit, set_charging_amps, charge_max_range, charge_standard
Trunk & frunk 1 actuate_trunk (which_trunk=front or rear)
Alerts 2 honk_horn, flash_lights
Boombox 1 remote_boombox (fart, ping, custom)
Windows & sunroof 2 window_control (vent / close), sun_roof_control (vent / close / stop)
HomeLink 1 trigger_homelink
Remote start 1 remote_start_drive
Media 7 media_toggle_playback, media_next_track, media_prev_track, media_next_fav, media_prev_fav, media_volume_down, adjust_volume
Charge & precondition schedules 6 add_charge_schedule, remove_charge_schedule, add_precondition_schedule, remove_precondition_schedule, set_scheduled_charging, set_scheduled_departure
Navigation 3 navigation_request, navigation_gps_request, navigation_sc_request
Software updates 2 schedule_software_update, cancel_software_update
Vehicle metadata 1 set_vehicle_name

Full per-command reference (friendly aliases, parameters, signing requirements): docs/guide/remote-commands.md and source of truth internal/tesla/client_commands.go.


Real-time telemetry

  • Tesla Fleet Telemetry โ€” gRPC streaming. The vendored vehicle_data.proto plus go generate keep the codec, signal metadata, and routing table in lock-step with upstream.
  • MQTT โ€” publish / subscribe to live signals; embedded Mosquitto in Docker Compose, any external broker via Helm.
  • SSE โ€” Server-Sent Events push live state to the browser. Singleton connection per tab, automatic reconnect, instant vehicle + alert updates.
  • Polling fallback โ€” /api/1/vehicles/{id}/vehicle_data on a schedule when streaming is unavailable.
  • Two-layer signal store
    • L1: in-process signal.Store (nanosecond reads, FSM / sessions hot path)
    • L2: Redis vehicle:{id}:signals HSET + Pub/Sub (cross-pod, restart recovery)
    • Durable history: signal_log TimescaleDB hypertable (every signal kept forever for charts, replay, and point-in-time reconstruction)

Features

Operations & fleet

Dashboard ยท Live map with 5 tile layers (CARTO Dark default, Azure Maps, Google Maps, Esri Satellite, OpenStreetMap, OpenTopoMap) ยท Vehicle detail ยท Command history ยท State-machine timeline ยท Command palette (Cmd/Ctrl+K) ยท PWA installable ยท 5 dynamic themes ร— 4 display modes

Charging

Sessions ยท Charging curve ยท Cost analysis ยท Charging heatmap (7ร—24) ยท Tesla billing history ยท Charge limit & amp control ยท Schedules (legacy + firmware 2024.26+) ยท Preconditioning

Energy & battery

Battery health ยท Cell voltage spread (4ร—23 pack visualisation) ยท Pack voltage / current ยท BMS ยท Powershare ยท Vampire drain ยท Energy flow ยท Degradation projection with linear regression

Driving

Drive list ยท Drive detail ยท Drive Score (0โ€“100 efficiency) ยท Speed profile ยท Motor torque ยท G-forces ยท Pedal usage ยท Stator / inverter / heatsink temps ยท Trip replay (animated) ยท Route efficiency comparison ยท Regen ratio

Analytics

Monthly statistics ยท True cost of ownership (EV vs gas) ยท Sleep efficiency ยท Temperature impact (efficiency vs ambient) ยท Weekly digest ยท Year-in-review ยท Projected range under different conditions (highway, city, cold, hot, sentry) ยท Fleet comparison

Alerts & automation

Alert Studio at /alert-studio โ€” visual rule builder over the full Tesla signal catalog (230 entries). CEP rule engine with recursive AND/OR/NOT condition trees, 11 operators, for_seconds temporal sustain, changed_to/changed_from transition detection, per-rule cooldown, multi-channel dispatch, server-side quiet hours, 50+ rule templates, test-notification flow with signal-value interpolation ({{BatteryLevel}} etc.).

Diagnostics & developer tools

Live signal monitor ยท Signal log viewer ยท Signal explorer (chart any signal) ยท Signal diff ยท Signal gap detector ยท State-machine debugger ยท MQTT inspector ยท DB health dashboard ยท 25+ Tesla API developer tools (VIN decoder, JWT decoder, partner registration, API playground, raw fleet-telemetry config / errors, signal config modal, โ€ฆ)

Backup & restore

Scheduled automated backups (daily to every 30 days) ยท Full + incremental ยท Multi-provider storage (Local, Amazon S3, Azure Blob, Google Cloud Storage) ยท Gzip + SHA-256 integrity verification ยท Configurable retention (last N, max 100) ยท Download, verify, preview restore from UI ยท Complete run history ยท One-click manual quick backup

Maps & geocoding

Multi-provider map tiles with auto-selection by API key ยท Layer switcher on all 5 map pages ยท Geocoding priority: geofence name โ†’ places cache โ†’ Google/Azure/Nominatim ยท Places cache (~90% API call reduction) ยท Reverse-geocoded drives and charging sessions

Observability

Prometheus /metrics ยท 28 Grafana dashboards (deep analytics, CEP, SSE real-time, infrastructure) ยท OpenTelemetry instrumentation (OTLP gRPC export) ยท Jaeger profile in Docker Compose ยท Structured zerolog JSON logs ยท Per-repo DB spans with semantic conventions

Engineering invariants

  • SI canonical โ€” every DB column, API field, and Go/TS type stores SI units (m, m/s, ยฐC, Pa, Wh). User display preference (mi/km, ยฐF/ยฐC, psi/bar) is applied only at the React render boundary by useUnits() / useFormatting(). No legacy unit converters downstream.
  • 100% Tesla Fleet Telemetry coverage โ€” vendored proto + go generate.
  • Auto-generated AI feature mirror โ€” backend and frontend cannot drift on the set of Helix feature IDs.

Quick start

git clone https://github.com/ev-dev-labs/teslasync.git
cd teslasync
cp .env.example .env
# Edit .env with Tesla Developer credentials and your deployment URLs
docker compose up -d --build

Windows users: replace cp .env.example .env with Copy-Item .env.example .env.

Default ports:

Service URL
Web UI http://localhost:3000
API http://localhost:8080
Grafana http://localhost:3001
Prometheus http://localhost:9099
Jaeger (optional, --profile tracing) http://localhost:16686

What the quick start actually gives you

docker compose up -d --build brings up the stack in open mode (no FORWARD_AUTH_HEADER set) โ€” fine for a local trial on localhost, not safe to expose publicly. The Tesla OAuth flow needs all five scopes ticked on your Tesla Developer application (openid offline_access vehicle_device_data vehicle_location vehicle_cmds vehicle_charging_cmds); any missing scope produces a working-looking dashboard with empty vehicle pages. The compose file uses timescale/timescaledb-ha:pg17 because migration 1 installs TimescaleDB + pgvector โ€” upstream postgres:17 will fail to start.

For Fleet Telemetry streaming or signed commands you also need:

  • A publicly-reachable HTTPS domain with valid TLS
  • A registered partner account with Tesla (one-time POST /api/v1/devtools/register-partner once the public domain is live)
  • The commands and/or telemetry Compose profiles enabled

Full step-by-step setup including the auth model decision, partner-key flow, regional Fleet API bases, and Helix AI provider choices: docs/guide/getting-started.md ยท docs/guide/tesla-fleet-api.md.


Architecture

                โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
                โ”‚      Browsers        โ”‚
                โ”‚  React SPA + PWA     โ”‚
                โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                          โ”‚  HTTPS / SSE
                          โ–ผ
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚              Go API (Chi v5)                       โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”   โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”    โ”‚
โ”‚  โ”‚ Vehicle ops    โ”‚   โ”‚ Helix AI router       โ”‚    โ”‚
โ”‚  โ”‚ Telemetry      โ”‚   โ”‚  โ€ข feature gate       โ”‚    โ”‚
โ”‚  โ”‚ Charging       โ”‚   โ”‚  โ€ข redact decorator   โ”‚    โ”‚
โ”‚  โ”‚ Alerts / CEP   โ”‚   โ”‚  โ€ข provider chain     โ”‚    โ”‚
โ”‚  โ”‚ Automations    โ”‚   โ”‚  โ€ข per-call audit     โ”‚    โ”‚
โ”‚  โ”‚ Backups        โ”‚   โ”‚  โ€ข tool registry      โ”‚    โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜   โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜    โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”˜
      โ”‚                   โ”‚                    โ”‚
      โ–ผ                   โ–ผ                    โ–ผ
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”      โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”       โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ Postgres  โ”‚      โ”‚ Redis 7     โ”‚       โ”‚ MQTT     โ”‚
โ”‚ Timescale โ”‚      โ”‚  โ€ข L2 store โ”‚       โ”‚ Mosquittoโ”‚
โ”‚  + signal โ”‚      โ”‚  โ€ข cache    โ”‚       โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ”‚   _log    โ”‚      โ”‚  โ€ข Pub/Sub  โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜      โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
      โ–ฒ                   โ–ฒ
      โ”‚                   โ”‚
โ”Œโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”    โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚   Tesla Fleet Telemetry       โ”‚    โ”‚ Vehicle Command      โ”‚
โ”‚   gRPC subscriber + codec     โ”‚    โ”‚ Proxy (signs cmds)   โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”˜    โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                               โ”‚                โ”‚
                               โ–ผ                โ–ผ
                          โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
                          โ”‚     Tesla Fleet API      โ”‚
                          โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

Detail: docs/guide/architecture.md.


Documentation

๐Ÿš€ Getting started Install, configure, first run
๐Ÿ”‘ Tesla Fleet API setup Developer app, scopes, regions, partner registration
๐Ÿง  Helix AI Features, providers, audit, redaction
๐ŸŽฎ Remote commands All 65 Tesla commands
๐Ÿ› Architecture Services, data flow, schema
โš™ Configuration Environment variables
๐Ÿ“ก Fleet Telemetry gRPC streaming setup
๐Ÿ—„ Database Schema, hypertables, migrations
๐Ÿ”Œ API endpoints REST + SSE reference
๐Ÿณ Docker deployment Compose setup
โ˜ธ Kubernetes Helm chart
๐Ÿ›Ÿ Troubleshooting Common issues
โ“ FAQ
๐Ÿ›  Local development Dev loop
๐Ÿค Contributing

Repository layout

.
โ”œโ”€ cmd/                       Go entry points (api, workers, tools)
โ”œโ”€ internal/
โ”‚  โ”œโ”€ api/                    HTTP handlers (incl. 57 ai_*_handler.go files)
โ”‚  โ”œโ”€ ai/
โ”‚  โ”‚  โ”œโ”€ features/registry.go Source of truth for AI features
โ”‚  โ”‚  โ”œโ”€ strategies/          Per-feature strategy.go + goldens.yaml (53 strategies)
โ”‚  โ”‚  โ””โ”€ tools/               Tool registry the LLM can call (50+ tools)
โ”‚  โ”œโ”€ tesla/                  Fleet API client, 65 command endpoints, proxy router
โ”‚  โ”œโ”€ signal/                 L1 in-process store
โ”‚  โ”œโ”€ fsm/                    Vehicle state machine
โ”‚  โ”œโ”€ cep/                    Complex-event processing for alerts
โ”‚  โ””โ”€ ...
โ”œโ”€ web/
โ”‚  โ””โ”€ src/
โ”‚     โ”œโ”€ ai/features.ts       Auto-generated from internal/ai/features
โ”‚     โ”œโ”€ components/
โ”‚     โ”‚  โ”œโ”€ ai/               55+ AI* components, gated by withAiFeature
โ”‚     โ”‚  โ””โ”€ branding/         HelixMark โ€” the Helix brand icon
โ”‚     โ”œโ”€ features/            21 feature areas
โ”‚     โ””โ”€ ...
โ”œโ”€ migrations/                197 numbered SQL migration files
โ”œโ”€ docs/                      User & contributor documentation
โ”œโ”€ helm/teslasync/            Production Helm chart
โ”œโ”€ tools/
โ”‚  โ”œโ”€ aigen/                  Generates web/src/ai/features.ts from Go registry
โ”‚  โ””โ”€ aivet/                  CI vet for AI feature contract
โ””โ”€ docker-compose.yml         13 services

Contributing

See docs/contributing/code-structure.md and the topical instructions under .github/instructions/ (Go backend, React frontend, Tesla pipeline, telemetry pipeline, observability, data modeling, i18n, prompt engineering, Helm / Docker).

Before opening a PR:

# backend
go test ./... -race
go vet ./...
go run ./tools/aivet          # AI feature contract check
go run ./tools/aigen --check  # ensure web/src/ai/features.ts is in sync

# frontend
cd web
npm install
npm run lint                  # ESLint + 25+ custom audit scripts
npm run test                  # Vitest

License

MIT โ€” see LICENSE.

Acknowledgements

Built on Tesla's Fleet API, Fleet Telemetry, and the Vehicle Command Proxy.

About

๐Ÿš— Self-hosted Tesla Fleet Intelligence Platform โ€” real-time monitoring, analytics, remote commands, and 30+ interactive dashboards. โ”‚ โ”‚ Built with Go, React, PostgreSQL, and Helm.

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