The window rendered the same 13 collapsible sections for every entity, sorted
only by "does it have content". Audit trail carried the same visual weight as
Health, and the window answered "what data do we hold about X?" rather than
"what do I need to know, and what should I do?".
Measured against prod: host:hubris has 223 relations, 1,601 events, 2.7M metric
samples and 148 executions; an ingress route has three facts. Both got 13
identical headers. Expanding a host put ~540 interactive elements on screen.
- **A verdict header that never collapses.** Not just "down" but *why*:
"ping failing · 5 of 6 checks passing". That line did not previously exist
and could not have — checks rendered as configuration, never as results.
- **Sections composed per type.** A document has no checks, metrics or blast
radius; a signal or execution is a record, not a thing. Infrastructure gets
Status/Impact/Activity/Metrics/Reference, knowledge types lead with Content,
records get a minimal view. Unknown types fall back to infrastructure so a
new entity type is never a blank window.
- **Status replaces Monitoring**, showing each check's own verdict and when it
last ran — the section that answers the header's "why".
- **Impact** finally calls /entities/{id}/blast-radius. The endpoint has existed
since the first API and had no frontend caller anywhere, despite
.agents/OIKOS.md naming blast radius as the reason the ontology exists. Its
outgoing-edges-only limitation is stated in the UI rather than hidden.
- **Activity merges four lists** (executions, signals, events, agent activity)
that were telling one story in four places.
- **Relations cap at 8 with a drill-in** — 540 interactive elements down to 126.
- **Ask Nomos** opens a task pre-scoped to what you are looking at, seeded with
the verdict just computed, via an optional draft threaded through
openNewTaskWindow -> NewTaskChat -> ChatThread.
Requires exposing check_defs.last_health/last_run_at through the API (the
columns landed with the health-aggregation work but were never surfaced).
Adding a fourth enum containing "unknown" made oapi-codegen disambiguate all
enum constants by type prefix, so metrics.go moves to gen.TrendDirection*.
Verdict derivation and type->section composition live in $lib/entityView.ts as
pure functions with 15 unit tests, including the host:strong case that
motivated this.
Co-Authored-By: Claude <noreply@anthropic.com>
Problem: every host/service/lxc/etc. entity_status row was permanently
stuck at 'unknown' since creation. Verified against the live DB:
metric_samples had 17,559 rows, 100% attached to type='check' probe
entities and 0% to any real monitored entity; only 25 check entities
ever had real health written. check_defs.entity_id (the probe's own
bookkeeping entity) and check_defs.target_id (the host/service actually
being observed) were both real fields, but the scheduler wrote
UpsertEntityStatus/InsertMetricSample/emitSchedulerEvent keyed by
entity_id instead of target_id — so every check ran and every result
was real, it just landed on the wrong row. This is the mechanism behind
observed drift: the agent's dashboard/health tools reported the
internal probes' state, never the actual fleet.
Change:
- scheduler.go: runCheck/resolveSignal now resolve targetID from
cd.TargetID (falling back to the check's own id if unset) and write
status/metrics/events there. Signals stay keyed by the check entity,
unchanged, matching their existing resolution logic.
- Added a staleness sweep to housekeeping(): an entity whose last
observation is older than 3x its fastest enabled check's interval
(floor 5m) is marked 'stale' and emits health.stale, so a stalled
scheduler or disabled check_def can no longer look like current data
forever.
- migrations/016: deletes the now-orphaned check-entity entity_status
rows so dashboard/fleet-health rollups stop double-counting probes as
monitored entities. Historical metric_samples on check entities are
left as-is (time-series data, not safe to reattribute).
- openapi.yaml + regenerated gen code: Entity gains health/last_check_at;
'stale' added to the health enum everywhere it's used.
- dashboard.go / GetFleetHealth / nomos's get_health_summary MCP tool:
exclude type='check' entities from rollups.
- nomos/agent.go: replay prior turns' tool_use/tool_result pairs into
the conversation instead of dropping them (previously only final text
was replayed, forcing the agent to re-derive fleet state every turn),
and inject a compact live fleet-health snapshot into the system prompt
each turn so it starts oriented instead of spending an iteration on
discovery.
Risk: config_mutation (schema-adjacent — new migration, no destructive
DDL, additive DELETE only on orphaned rows). No behavior change until
oikos-api/oikos-scheduler/nomos are rebuilt and redeployed.
Verification: go build/vet clean across the repo. Ran this worktree's
own API binary against the live dev Postgres on an alternate port
(read-only from the live containers' perspective) and confirmed
/api/v1/entities now returns health/last_check_at, and the dashboard
health rollup dropped from double-counting to an honest 168 unmonitored
entities (matches reality pre-deploy — the live scheduler hasn't run
the fixed code yet). Confirmed check_defs.target_id correctly maps
multiple checks to host:hubris via direct psql query.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Add three new pages completing the control-room web UI:
- Agent activity: polls /agent-activity every 5s, filterable by type/agent
- Knowledge search: FTS over /knowledge/search with snippet + entity links
- Audit trail: browseable audit log with actor/action/entity filters
Enhanced live events page with correlation-id clustering (Groups toggle).
Added fetchAgentActivity/searchKnowledge/fetchAudit to the API client.
11 nav items now cover all planned control-room views.
Phase 1 implementation from the client-lifecycle plan.
- Migration 012: provisioning_steps table, context_version, context_files,
enrolled_at column, slug+type index for machine entities
- API endpoints (openapi.yaml + generated code):
POST /clients/enroll — age key issuance, Infisical identity, state transition
GET /clients/{slug}/context — agent file delta polling (replaces git pull)
GET /clients/{slug}/secrets — scoped secret listing
POST /entities/provision — compute entity creation with constraint validation
GET /entities/{slug}/provision/status — step-by-step provisioning progress
- Handlers in impl.go: enrollment with state validation and age key generation,
provisioning with execution tracking and relationship creation,
context endpoint with since-based delta queries
- Server struct extended with secretsBackend interface for key storage
- All tests pass, build clean
