* fix(entrypoint): drop three phantom history keys from the seeded default
The config written on first boot -- what EVERY fresh Docker install starts
from -- seeded three keys that do not exist on HistoryConfig and are
silently discarded on load:
auto_cleanup: true
cleanup_interval_hours: 24
max_age_days: 30
HistoryConfig has only `database`, `max_messages_per_user`, and
`conversation_timeout`.
To be precise about the impact: history cleanup DOES work -- cleanup_expired()
is wired at main.py:237 and _prune_history() honours max_messages_per_user.
What never existed is the time-based retention model these keys describe (a
30-day age cutoff on a 24h interval). An operator setting max_age_days: 90
expecting 90-day retention was silently ignored.
Not implemented here -- whether time-based retention should exist is a
product decision, not a cleanup. This only stops the default config
promising it.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* docs: point onboarding at the dashboard, not the legacy example config
The documented setup path was `cp config.example.yaml config.yaml`, but that
file is ~40% incomplete: of the 20 top-level Config fields it covers 15,
omitting coverage (the universal bbox), danger_zones, generic_sources,
meshcore_context, commands, and the current notification model
(toggles/destinations/region_routes). Its own notifications header still says
the schema "will be replaced in v0.3 by the 8-toggle model" -- which shipped
long ago. Anyone following the project's own instructions landed on a
degraded surface with no signal a richer config existed.
It is also read by NOTHING at runtime: docker-entrypoint.sh sets
MESHAI_CONFIG=/data/config.yaml and writes its own inline default on first
boot. The Dockerfile still COPYs config.example.yaml into the image, so it is
kept and now labelled reference-only rather than a starting point.
- README: Docker quick-start seeds itself; configure via the dashboard. The
pip path still uses config.example.yaml (nothing seeds one there) but now
carries an honest note that it is a minimal bootstrap, not a reference.
Adds an Advanced section for the split /data/config/ layout and the
migrate_config_v03 path into it.
- docker-compose.yml: the comment claimed config lives at /data/config.yaml
as though that were the only layout; corrected to describe both, and note
secrets live in /data/secrets/.env.
- Dockerfile: document why config.example.yaml is still shipped.
Not done deliberately: config.example.yaml is NOT expanded to cover all 20
sections. A second hand-maintained schema is what caused this drift; the
dashboard is the authoritative surface. The legacy single-file loader is
untouched and still fully supported.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* docs(readme): move dashboard-first onboarding rewrite to root README
work/README.md is about to become a symlink to root README.md on
docs/single-readme. Retarget the Docker/dashboard-first quick start
and config.example.yaml honesty note added in be867d23 from
work/README.md to root README.md, adapted to the root file's own
Quick start structure (cd meshai/work, /work/-prefixed curl URLs), so
none of it is silently dropped when that symlink lands.
---------
Co-authored-by: Matt Johnson <mj@k7zvx.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Commit 2e1fb325 ("refactor: move source tree into work/, multi-stage Docker
build") COPIED the source tree into work/ but never removed the top-level
originals, so main has been tracking two full copies of the app ever since.
Only work/ is live:
- CI (.github/workflows/docker-publish.yml, the sole workflow) builds with
`context: work` / `file: work/Dockerfile`. It never references the
top-level meshai/, Dockerfile, tests/, or pyproject.toml.
- Production (CT 108) runs work/docker-compose.yml, whose build context is
work/ and whose Dockerfile does `COPY meshai/ ./meshai/` relative to it.
- work/ is self-contained: its own Dockerfile, docker-compose.yml,
pyproject.toml, requirements.txt, config.example.yaml, dashboard-frontend/
and tests/.
The top-level copy carried ZERO unique content. work/ is strictly newer
everywhere (migrations v19-v28 vs top-level's v18; whole subsystems the top
level never had: coverage, generic_http, satpass, wzdx, notifications/gating,
notifications/formatters, transport/). Every file that existed ONLY at the top
level is legacy code that work/ deliberately removed after the fork:
- meshai/cli/configurator.py removed from work/ in 5de683f7 (#45, legacy TUI configurator)
- meshai/commands/subscribe.py removed from work/ in 9e6a3715 / 04604624 (subscription backend)
- meshai/subscriptions.py removed from work/ in 9e6a3715 / 04604624 (subscription backend)
- meshai/notifications/scheduled/fire_digest.py
removed from work/ in b0b0697b (#107, fire digest feature)
- meshai/notifications/pipeline/severity_router.py
never existed in work/; superseded by notifications/gating + formatters
- tests/test_fire_digest_recency.py tests the removed fire digest
- tests/test_meshcore_per_family_routing.py
tests the top-level-only meshcore_channel impl, superseded in work/ by transport/
- dashboard-frontend/src/pages/Alerts.tsx
removed from work/ in 9e6a3715 (subscription backend)
- dashboard-frontend/src/pages/Environment.tsx.bak
stray backup file, never in any build
The duplication is an ACTIVE HAZARD, not just dead weight: a fix applied to the
top-level meshai/ passes review, gets merged, and then silently does nothing,
because neither CI nor prod ever reads that tree. This already happened --
ff3ded8c (#9, "independent per-family MeshCore channel") landed its config.py /
connector.py / channels.py / dispatcher.py changes in the DEAD top-level copy
while work/ got only the transport-layer half. (Nothing was lost there: work/
carries a full, later-generation implementation of the same feature wired
through config.py, connector.py, transport/base.py, transport/composite_transport.py,
transport/meshcore_transport.py and the dashboard routes.) Deleting the copy
makes that class of mistake impossible.
Removed (280 files): meshai/, tests/, dashboard-frontend/, config/, Dockerfile,
docker-compose.yml, docker-entrypoint.sh, config.example.yaml, pyproject.toml,
requirements.txt.
Also fixes README Quick start, which pointed at the now-deleted root paths
(main/docker-compose.yml, main/config.example.yaml -> main/work/...) and still
advertised `meshai --config`, the interactive TUI removed from work/ in 5de683f7.
Verification: work/ test suite unchanged before and after --
20 failed, 2240 passed, 72 skipped (identical failure list; all pre-existing).
Co-authored-by: Matt Johnson <mj@k7zvx.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Add a "Native adapters vs. Central" subsection: each hazard feed chooses its
data path with feed_source (native = direct public-API fetch, the default and
original path; central = subscribe to Central's pre-aggregated NATS JetStream
firehose). Documents the environmental.central config, mutual exclusivity,
the satpass (central-only) / ducting (native-only) exceptions, runtime
auto-reconnect behavior, and the startup-needs-Central caveat.
Co-authored-by: Matt Johnson <mj@k7zvx.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Rewrite the README to reflect the current project: dual-transport
(Meshtastic base + MeshCore auto-on via meshcore_host), the web dashboard
(with live screenshots), per-mesh routing, the conversational bot with
per-mesh scoped context + three privacy lanes, environmental/hazard
broadcasts, mesh-health scoring, and the RAG knowledge base. Removes the
retired subscription backend/commands, updates the LLM model + architecture,
and adds live dashboard screenshots under docs/images/.
For transparency, documents that the project was vibecoded (built with LLM
coding assistants).
Co-authored-by: Matt Johnson <mj@k7zvx.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- Add MeshMonitor Integration section with features and configuration
- Add credit line in Features list
- Link to github.com/Yeraze/meshmonitor
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Features:
- Multi-backend LLM support (OpenAI, Anthropic, Google)
- Rolling summary memory for token optimization (~70-80% reduction)
- Per-user conversation history with SQLite persistence
- Bang commands (!help, !ping, !reset, !status, !weather)
- Meshtastic integration via serial or TCP
- Message chunking for mesh network constraints (150 char limit)
- Rate limiting to prevent network congestion
- Rich TUI configurator
- Docker support
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
