A python-runner service ran from a tool venv (uv tool install --editable),
separate from the project venv that uv sync manages. The editable link kept
source live, but dependencies were resolved independently in each venv, so a
new dependency landed in the project venv and never reached the running
service — leaving no clean rollout for it.
Deploy now emits ExecStart=uv run --project <source> --no-dev <program>,
running the service in place from its own project venv. uv run syncs the env
to the lockfile before launching, so a single restart picks up both code and
dependency changes; the ExecStart is deterministic from source and never goes
stale. The tool-venv install is gated to the command runner only; uv tool
install is reserved for tool-behavior programs, where PATH is the point. A
python service with no resolvable source falls back to a PATH lookup.
The gateway does two things — reverse-proxy services and serve static
frontends — but the dashboard/API route table only ever showed the proxy
routes, so 'serving a frontend' and 'proxying a service' looked like unrelated
features and castle-app/power-graph-app were invisible in the route view.
Now there's one concept: a route maps an address (path '/foo' or host 'foo.lan')
to a target of one kind — static (a built dist served by file_server), proxy
(a local service port), or remote (a service on another node).
- core: caddyfile.py gains compute_routes() — the single source of truth for
the route list; generate_caddyfile_from_registry renders it (output byte-for-
byte identical, verified against the live Caddyfile). Adds a GatewayRoute
dataclass.
- api: GatewayRoute model → {address, kind, target, name, node}; GET /gateway
builds from compute_routes (incl. config for static frontends + mesh for
remote), so the table matches what Caddy actually does.
- app: Gateway panel shows Address · Kind · Target for every route (static
frontends + host routes now appear); program detail shows 'Reachable at
/foo/ · served (static)' for static frontends.
- cli: 'castle gateway status' prints the full route table.
- docs: registry.md/design.md/CLAUDE.md describe routes as one concept with
three target kinds.
core 94 / cli 24 / api 52 green; ruff + app build clean; Caddyfile unchanged.
A service/job's env is now exactly its defaults.env — castle injects no hidden
convention vars. Values support ${port}/${data_dir}/${name} placeholders
(resolved at deploy, alongside ${secret:…}), so a program's own env var names
map to castle's computed values without hardcoding.
Why: the auto-injected <PREFIX>_PORT/<PREFIX>_DATA_DIR were a guess at the
program's env names — right for castle-scaffolded services, dead weight for
adopted ones (lakehouse carried two dead vars; notification-bridge/backup jobs
too). They also weren't visible in the config editor (computed at deploy), which
was the source of the 'four env vars but the UI shows none' mystery.
- core: resolve_env_vars gains a context (${port}/${data_dir}/${name});
deploy builds env from defaults.env only — no <PREFIX>_* injection, no
port_env. Removed the port_env field and the dead _env_prefix helper.
- cli: 'service/job create' gains repeatable --env KEY=VALUE (replaces
--port-env); 'program create' scaffolds <PREFIX>_PORT/_DATA_DIR: ${…} for new
daemons.
- app: removed the 'Port env' field; the Environment editor (defaults.env) is
the single place, with a placeholder hint.
- live migration: central-context/castle-api/power-graph/protonmail mapped their
real vars explicitly; lakehouse → just LAKEHOUSED_DAEMON_PORT: ${port}, data
stays in ~/.lakehoused. Verified all services healthy on their ports, dead
vars gone, zero failed units.
- docs: registry.md/design.md/stack guides + findings updated to the explicit
model.
core 94 / cli 24 / api 52 green; ruff + app build clean.
Sweep of accumulated drift unrelated to the CLI reorg:
- Source paths: ~/.castle/code/<name> → /data/repos/<name> (REPOS_DIR), and
source: code/X → absolute /data/repos/X. registry.md source-resolution table
and 'how programs get in' section rewritten for the /data/repos layout.
- Old field name component: → program: in all YAML examples.
- Old term 'component' → 'program' throughout design.md and the stack guides.
- Frontend serving: corrected the copy-to-artifacts/content model to serve-in-
place from the repo (<source>/<dist>), matching Phase 2b; dropped the dead
_copy_app_static reference and the 'runtime never references the source tree'
claim (frontends are the deliberate exception).
- Stale endpoints/commands: /components → /deployments; castle create/add →
castle program create/add in the create.py/add.py docstrings.
CLAUDE.md was already current. cli 24 green; ruff clean.
Names collide across resource types (a program and a service can share a name),
so the CLI no longer resolves bare names. Operations live under the resource
they act on; platform lifecycle and the cross-resource overview stay top-level.
castle program list|info|create|add|clone|delete|run|install|uninstall|
build|test|lint|format|type-check|check
castle service list|info|create|delete|deploy|enable|disable|start|stop|restart|logs
castle job <same verbs> (create takes --schedule)
castle gateway start|stop|reload|status
castle list | status | deploy [name] # cross-cutting
castle start | stop | restart # whole platform (systemd verbs)
Key changes:
- info/delete/list/run are resource-scoped (no more cross-section name match).
- delete only removes the named resource's entry; program delete still blocks
when a deployment references it.
- per-resource start/stop/restart (systemctl on the unit/timer); top-level
start/stop/restart act on the whole platform.
- expose → 'service create' (more general: --program ref, --runner); gained
'job create' (the CLI never had one).
- dropped up/down — bringing things online is the honest 'deploy && start'.
Docs (CLAUDE.md, registry.md, stack guides) and user-facing messages updated.
core 94 / cli 24 / api 52 green; ruff clean. Verified live: program/service/job
list+info scope correctly, service create+scoped-delete round-trips.
