Ensure dry-run-only actions fail with action_dry_run_only before executor availability checks, and bridge action completion verification projection through router payload mapping.
Wire the alerts manager's new flapping-detected callback in the AI
intelligence initialization path. Two things happen on each first
transition into the flapping cooldown window for a tracking key:
1. A reliability-category finding is written directly to the findings
store via emitFlappingPostmortemFinding. Path B from the lane brief:
the finding is durable without depending on patrol synthesis, so
the operator sees the diagnosis the moment Pulse decides to
suppress. The finding ID is derived from the canonical tracking
key ("alert-flapping:<trackingKey>") so re-detection inside the
cooldown window folds into the existing record via the same-ID
branch of FindingsStore.Add -- one finding per flapping condition,
not one per dispatch.
2. A scoped FlappingPostmortemPatrolScope is enqueued on the trigger
manager so an actual patrol run can enrich the finding with deeper
context once it lands.
The finding body names the flapping threshold, window, and cooldown
the manager is currently configured with, plus an action hint
(widen threshold, raise cooldown, or stabilise the resource). That
turns the suppressed alert from silence into a closable item on the
FindingsPanel.
FindingCategoryReliability is reused; no new category, no parent/
child finding structure -- those are deferred per the lane brief.
When a maintenance window ends on a resource, the sentinel runs
deterministic checks (active alerts, Patrol findings, failed actions
since window start, basic post-window metric recovery) and writes a
durable LoopReport. Operators can list reports per resource, mark them
reviewed, or rerun verification immediately. UI surfaces the section in
the resource detail drawer; scoped Patrol runs and Assistant deep-link
are deferred until those entry points stabilise.
A Proxmox host wedged on a ZFS deadlock yesterday took the cluster API poll
with it (context deadline exceeded). The unified connections aggregator
flipped the Connection from active to stale to unreachable, and the
Settings / Infrastructure page rendered the right badges, but no top-nav
alert ever fired because nothing was actively notifying off that derived
state. Patrol's deterministic triage flagged it every minute, but its LLM
investigation stage has been broken since 2026-02-26 so flags never
escalated into user-visible findings. Result: a 3 hour outage I only
noticed because I happened to open Settings.
This wires an active notification off the same connection state the
Settings badges already use:
- internal/alerts/connection.go: new CheckConnection +
clearConnectionDegradedAlert that fire connection-degraded after three
consecutive stale or unreachable observations. Severity scales: stale
warning, unreachable / unauthorized critical. Clear runs through the
same recovery-confirmation gate as clearNodeOfflineAlert so a single
flap back to active doesn't silently resolve a real outage. Paused,
disabled, and non-platform connections are no-ops.
- internal/api/connections_alerts.go: snapshot translator that turns
api.Connection into the narrow alerts.ConnectionSnapshot view. Keeping
the snapshot type inside the alerts package preserves the existing
api -> monitoring import direction; the monitor would have cycled if
it called back into api directly.
- internal/monitoring: new SetConnectionsSnapshotLister hook + a
per-tick checkConnectionAlerts call in the main poll loop, alongside
the existing evaluate*Agents passes.
- internal/api/router.go: register the lister closure on r.monitor so
the alerts loop sees the same Connection rows the HTTP handler does.
- internal/alerts/specs/types.go: add "connection" to the migration
bridge list of accepted ResourceTypes, alongside node / docker-host /
proxmox-disk / etc. The connection concept doesn't have a canonical
unified resource type yet; this matches the existing pattern for
alert-keyed resources that aren't first-class canonical.
Test coverage in internal/alerts/connection_test.go covers active never
fires, three stale observations escalate from pending to warning,
unreachable escalates warning to critical, unauthorized fires critical
cold, paused / disabled / agent never fire, recovery confirmation gate,
and a stale flap during recovery resets the gate.
TestResourceAlertSpecValidateAllowsConnectionMigrationBridgeType mirrors
the existing migration-bridge proof tests for the new type.
chat.Service.ExecuteStream was a long-standing cost-ledger gap: the
agentic loop accumulated token counts via stream callbacks (see
GetTotalInputTokens / GetTotalOutputTokens in agentic_control.go)
and surfaced them in the SSE done envelope to the frontend, but
nothing on the server side recorded a cost.UsageEvent. Patrol,
discovery, QuickAnalysis, and the report narrators all record; only
chat — the bulk of AI token spend — did not. The operator's AI
usage dashboard was therefore understating cost dramatically.
Found while extending the cost-recording mindset across subpackages
after fixing QuickAnalysis (08491b9f4). Initially spawned as a
separate task but the right shape and scope became clear, so landing
it directly here.
Pipeline:
- Service.CostStore() exposes the per-tenant cost store handle.
- chat.Config gains optional CostStore *cost.Store field, threaded
into chat.Service.costStore at NewService time.
- chat.Service.recordChatTurnCost records a UsageEvent with
UseCase="chat" after every loop.ExecuteWithTools return (success
OR error — operator was billed regardless of clean response).
Skips when costStore is nil or zero tokens accumulated.
- ai_handler.go's two chatCfg construction sites populate CostStore
via h.resolveCostStore(ctx).
- router wires the resolver to AISettingsHandler.GetAIService(ctx).CostStore()
with no Enabled gate — even brief chat usage while AI was being
configured should appear in the dashboard.
ExecutePatrolStream is deliberately not changed. It creates a
separate tempLoop and its caller (patrol_ai.go) records cost via
its own helper at line 887. Recording in ExecuteStream only avoids
double-counting on the patrol-via-chat path.
Tests in chat/cost_recording_test.go cover: recording when store
configured, no-op when store nil, no-op on zero tokens (early
failures), graceful handling of model strings missing the
provider prefix.
v1 of pulse_summarize (1fe5d6853) shipped with heuristic narrative
only. The follow-up wiring promised in that commit now lands: the
chat session carries optional report-narration providers that the
tool's handler reads when building requests, so AI-narrated synthesis
flows into chat using the same provider, sanitizer, model selection,
cost ledger, and budget gate the report PDF endpoint already uses.
Pipeline:
- pkg/reporting Narrator / FleetNarrator / FindingsProvider interfaces
are already implemented by internal/ai.Service. No new
implementations.
- tools.ExecutorConfig + PulseToolExecutor gain three optional fields
(ReportNarrator, ReportFleetNarrator, ReportFindingsProvider).
Clone() copies them so per-session executors inherit the wiring.
- chat.Config gains the same three fields; NewService threads them
into ExecutorConfig.
- tools_summarize.go reads e.reportNarrator/FleetNarrator/
FindingsProvider and populates MetricReportRequest /
MultiReportRequest. The engine already accepts these on the request
and falls back to heuristic when they are nil — no engine changes
needed.
- AIHandler gains SetReportNarratorResolver(ctx -> narrators); both
per-tenant and default chat.Config construction sites invoke the
resolver. Router wires the resolver to AISettingsHandler.GetAIService
with the same Enabled-gate the reporting handler uses.
Unconfigured tenants are unchanged: the resolver returns nil, the
tool returns heuristic narrative — identical to today. Configured
tenants get AI synthesis in chat that matches what their report PDF
already carries, billed and budget-gated the same way.
The single-resource AI narrative landed in b2bd9d114 but multi-resource
fleet reports stayed heuristic-only. That left a gap on the exact axis
where AI helps most: a 50-resource fleet PDF is where synthesis is the
difference between useful and unread.
Introduce FleetNarrator as a separate interface from Narrator. The
input shapes are different — single-resource takes one set of metric
stats with a prior window, fleet takes a denormalised cross-resource
view with per-resource summaries plus a fleet aggregate.
HeuristicFleetNarrator owns the deterministic fallback: ranks
resources by severity (critical alerts > unhealthy disks > storage
pressure > memory > CPU > non-critical alerts), picks up to 5
outliers, derives cross-cutting patterns by counting how many of N
resources share a hot signal, and emits fleet-scoped recommendations.
internal/ai.Service implements FleetNarrator through
report_fleet_narrator.go. Distinct use-case label
(report_narrative_fleet) so fleet vs single-resource spend is
separable in the cost ledger and budget gate. The fleet payload is
denormalised through buildReportFleetPayload so prompt cost scales
linearly with fleet size. Same fail-closed invariant — nil provider,
parse failure, or context cancellation falls through to the heuristic.
Single-resource Narrator is intentionally NOT propagated through
engine.GenerateMulti: a 50-resource fleet report performs one AI call
(fleet narrator), not 51. The router resolver returns the AI service
for all three roles (Narrator, FleetNarrator, FindingsProvider).
The fleet PDF renders the FleetNarrative in the fleet summary cover
when present: executive prose, named outliers with severity-coloured
bullets, cross-cutting patterns, recommendations, optional period
comparison, and an AI provenance footer. The deterministic resource
summary table is preserved above so every named outlier is verifiable
against the table immediately below it. Legacy "Highest CPU / Most
alerts" bullets remain as the fallback when no FleetNarrative is
attached.
Performance reports rendered the Executive Summary, Observations, and
Recommendations sections from inline threshold rules in pdf.go. That
narrative looked intelligent but was static templating against alert
counts and metric percentiles, which felt off-brand alongside Patrol
and Pulse Assistant.
Introduce a Narrator interface in pkg/reporting and a FindingsProvider
counterpart that the engine consults at report time. The heuristic
rules are lifted into HeuristicNarrator unchanged so the deterministic
fallback still produces the same observations and recommendations.
The engine now also queries the comparable prior period and threads
its aggregate stats through the narrator so deltas can be expressed.
internal/ai.Service implements both interfaces via report_narrator.go
(single-turn JSON call grounded in the structured ReportData payload,
falling back to the heuristic on any error/timeout) and
report_findings.go (Patrol findings whose lifecycle overlaps the
report window). The reporting handler resolves the per-tenant AI
service when it is configured and supplies it in the request; absent
configuration, reports look identical to the prior heuristic output.
Charts, stats tables, alert lists, storage and disk sections stay
deterministic — sysadmins can verify every AI claim against the data
tables next to it. The PDF renders the AI prose between the health
card and Quick Stats, adds a Period-over-period section after
Recommendations, and prints a provenance footer when the narrative
came from the assistant.
ai-runtime.md and api-contracts.md updates land in a follow-up commit
on this branch; agent-lifecycle / performance-and-scalability /
storage-recovery have no contract delta from this change (router.go
is referenced in their Extension Points but their semantics are
unchanged).
The AgentApprovalsProvider closure in router.go applied the
BelongsToOrg and CanonicalResourceID filters inline, which made
the substrate's tenant-isolation property impossible to test
without booting the full router. Drift in the closure (e.g.
swapping BelongsToOrg for a hardcoded "default" or dropping the
resource-id check) would let an agent with one org's token see
approvals targeting another org's infrastructure, but no test
sat right next to that logic to catch it.
Extracts the body into a named function in agent_resource_context.go
(pendingApprovalsForResourceFromStore) behind a minimal
approvalsPendingProvider interface. The closure in router.go
now delegates to it. Four unit tests pin the substrate's
isolation property:
- FiltersByOrg: same resource id, two orgs, each query returns
only its own org's approval.
- FiltersByResource: same org, two resource ids, each query
returns only its own resource's approval.
- LegacyEmptyOrgIsDefaultOnly: approvals without OrgID are
treated as default-org per BelongsToOrg's documented
semantics; legacy approvals do not leak into a non-default
org's bundle.
- EmptyInputsReturnNil: defensive shape on nil store, empty
resource id, and empty store.
The existing TestContract_AgentResourceContextWiresApprovalsProvider
pin is updated to follow the extraction. Both halves of the
wire-up are now pinned: router.go installs the closure with the
correct delegation, and agent_resource_context.go owns the
filter logic with both safety checks present.
This is the test the substrate was missing: nothing else proved
that an agent with one org's token cannot see another org's
pending approvals at the bundle layer.
Contract-neutral commit: no wire shape, manifest entry, or error
code changed. The refactor preserves identical behaviour;
PULSE_ALLOW_CONTRACT_NEUTRAL_COMMIT is set with a documented
reason since three of the four contract docs the canonical-shape
guard would normally demand are actively mid-edit by another
agent on patrol-preflight work, and trampling them would create
a collision the protocol explicitly forbids.
Closes the certainty loop for agents watching the substrate's push
channel. The action audit's read-after-write probe outcome was
already persisted on the audit record, but agents watching
action.completed only learned "the action ran" — they had to fetch
/api/actions/{id} to know whether the read-back probe confirmed
the intended state. That defeated the substrate's
push-notification guarantee for dispatch certainty.
The new agent-stable AgentResourceActionVerification projection
(ran, success, command, note, ranAt — output stays in the audit
record, deliberately omitted from events to keep payloads small)
is now carried on both:
- the action.completed SSE payload, projected from
record.Result.Verification by the router-side bridge in
wireAIChatDependenciesForService, and
- the resource-context bundle's recentActions surface, via the
same shared projectAgentResourceVerification helper
so the bundle (depth) and the doorbell (push) speak the same
vocabulary. Refused-before-dispatch failures omit verification
(the probe never runs) so agents branch on field presence to
distinguish "no probe attempted" from "probe ran with empty
result". Three contract pins lock the symmetry: payload field
present, router bridge populates it, bundle parallels.
The capabilities manifest's subscribe_events description now
mentions the verification block so external agents discover the
field through the same path they already use to learn the rest
of the agent surface.
The unit tests cover each piece in isolation; this test boots the
full router stack and proves the discovery → triage → depth chain
works as one substrate through the actual HTTP boundary an
external agent would hit. It found two real bugs slice 40
introduced and slice 45/46 didn't surface:
- /api/agent/capabilities was documented as unauthenticated but
was missing from the router's publicPaths list, so the global
auth middleware was 401'ing the discovery manifest. Fixed by
adding the path to publicPaths and pinning the contract so it
cannot regress.
- The error-envelope shape across the agent surface is
{"error": "<stable_code>", "message": "<human>"}, written via
writeJSONError — not the {"code": ...} shape I had assumed in
the docs. Pinned the wire shape on api-contracts.md so the
documented error contract matches what writeJSONError actually
writes.
The e2e test exercises capabilities discovery, triage via
fleet-context, and depth via resource-context with an unknown id
to confirm the resource_not_found stable error code reaches the
wire under the canonical "error" key. The subscribe_events SSE
path is probed unauthenticated to confirm it's gated (401) rather
than 404 — discovery's claim is honest.
The substrate's "everything an agent needs in one read" guarantee
covered identity, operator state, findings, and recent actions but
forced a separate /api/approvals call for pending governance
state. AgentResourceContext now carries pendingApprovals as a
lightweight AgentResourceApprovalSummary projection — same
vocabulary as approval.pending SSE events, so the doorbell and
the bundle agree on shape. AgentApprovalsProvider is the parallel
seam to AgentFindingsProvider; the router wires a closure that
resolves approval.GetStore() at request time, scopes via
BelongsToOrg, and filters by CanonicalResourceID so cross-tenant
or cross-resource pending requests don't leak. Empty arrays
preserve the iteration-safe contract the existing sections
already follow.
The "+N" overflow indicator on TagBadges was styled with
`cursor-pointer`, which signals a clickable affordance — but the
element only listens for mouseenter/mouseleave to show a tooltip and
has no click handler. Switch to `cursor-help` so the cursor matches
the actual interaction (hover for more info), avoiding a phantom
click expectation.
Tail of the operator-local-UI redaction sweep (abdde303a, a17f879a1).
resolveKubernetesContextForResource gated on requiresGovernedResourceDisplay
to choose between getPreferredInfrastructureDisplayName and a manual
displayName-or-name fallback. Both branches produce a raw infra name
once we trust that displayName never carries a redacted summary in
local rendering, so the gate is dead complexity. Collapse to a single
call and drop the now-unused requiresGovernedResourceDisplay import.
problemResourcePresentation.getProblemResourceDisplayName has no
production consumers today, but it still routes through the governed
helper. Reclassify it now (same as every other operator-local helper)
so the rule is consistent across the codebase if the surface ever gets
adopted.
Closes the "has context vs uses context" gap that defines Pulse's
agent-paradigm differentiation. The orchestrator (in pulse-pro) used
to receive a Finding with no awareness of the operator's
commitments — Patrol could investigate a resource the operator had
marked never-auto-remediate and propose a restart fix that the
action broker would refuse downstream. The proposal shouldn't have
happened in the first place.
Adds two optional fields to aicontracts.Finding:
- OperatorContext: intentionally offline, never auto-remediate,
maintenance window with computed active flag, criticality, note.
Populated in MaybeInvestigateFinding from the same operator-state
projection the suppression hot path consumes, so investigation
reasoning and suppression behavior cannot drift apart.
- OperationalMemory: regression count, previous resolved fix
summary, last regression timestamp, times raised. Populated in
ToCoreFinding from fields the internal Finding already carries.
ResourceOperatorStateProjection grew a NeverAutoRemediate field —
the investigation read path needs it (so the orchestrator can avoid
proposing fixes the broker would refuse) even though the
suppression hot path doesn't. Same projection serves both reads.
Both fields are nil when there's no signal (fresh finding, no
operator state) so the orchestrator branches on absence rather
than parsing zero-valued structs. The pulse-pro orchestrator
consumes the fields in a separate slice; this slice ships the
in-repo half of the data path.
Third slice on the agent-paradigm pivot, closing the substrate
triangle (discovery + bundled reads + push). Agents subscribe once
to a long-lived SSE connection and receive real-time events instead
of polling: finding.created when a new finding is raised, heartbeat
every 15 seconds for keepalive. Each event carries a monotonic ID so
agents can dedupe and reason about ordering across reconnects.
The broadcaster fan-outs to multiple subscribers and drops events
for slow consumers rather than blocking the publish path —
publishers cannot stall on consumer slowness. The findings-runtime
hook in router.go publishes finding.created when the finding is new
AND not auto-dismissed by operator-state suppression (operator
already said to stay quiet about that resource); patrol-cycle
re-detection of existing findings doesn't fire the event.
Capabilities manifest declares the stream under subscribe_events so
external agents discover it through the same channel as the REST
surface. SSE chosen over WebSocket because it's simpler, works
through every HTTP proxy without special-casing, and matches the
existing deploy_handlers pattern; agents that need bidirectional
comms call REST endpoints in parallel.
Tests pin the broadcaster's pub/sub semantics (fan-out, unsubscribe,
slow-consumer drop, monotonic IDs), the SSE handler's stream
contract (text/event-stream, no-cache, X-Accel-Buffering=no), and
the connected/published-event delivery via httptest.NewServer. A
contract test pins the publish-gate semantics so operator-state
suppression and stream notifications stay aligned.
First slice on the agent-paradigm pivot: instead of building more
human-glance UI, expose substrate that any agent (in-process Patrol,
external Claude Code, future MCP-driven setups) can consume in one
read. The endpoint returns the full situated picture of a resource —
identity, operator-set state with server-computed
maintenanceWindowActive flag, active findings as a lightweight
seven-question-schema projection, and recent action audits with
refusal tokens (resource_remediation_locked:, plan_drift:) preserved
verbatim for agent branching.
Substrate is the right shape here: an agent reasoning about a
resource gets everything it needs without chaining four or five calls,
and the projection types decouple agent-stable wire shape from
internal type evolution. Active findings flow through an
AgentFindingsProvider adapter wired in router.go from the patrol
service, keeping the api package free of an internal/ai import.
Always-array fields (activeFindings, recentActions) and
omitempty-on-absent (operatorState) give agents stable iteration and
clean field-presence branching. AgentContextHandler owns the agent
surface as its own type so it evolves independently of resource CRUD.
Each test pins a specific contract: identity round-trip, operator-state
projection with computed flag, empty-state shape, refusal-token
preservation, 404 shape, method gating.
Compounding slice on the per-resource operator-state feature: when an
operator has marked a resource as IntentionallyOffline (via the API
surface from slice 30), new findings against that resource get
auto-dismissed as expected_behavior with the lifecycle event tagged
operator_state_cause=intentionally_offline. Same shape as the
maintenance-window suppression from slice 31 but indefinite — no
scheduled end, no maintenance_end_at metadata.
Restructures the ResourceOperatorStateProvider interface to return a
single ResourceOperatorStateProjection per call rather than a narrow
ActiveMaintenanceWindow method. Adding the second signal would
otherwise have meant a second method and another call per finding;
the projection shape carries every signal in one round-trip and gives
future signals (NeverAutoRemediate, criticality) a stable extension
point.
Maintenance windows take priority over intentionally_offline when
both are active because the time-bounded suppression is more honest
to surface to the operator — they'll see it auto-clear when the
window ends rather than wondering when the indefinite suppression
will lift.
Third slice on the per-resource operator-state feature delivers the
behavioral payoff: when an operator has set a maintenance window on a
resource (via the API surface from slice 30), new findings against
that resource get auto-dismissed as expected_behavior at creation time
rather than firing notifications. The finding still lands in durable
history with a UserNote naming the window and a "dismissed" lifecycle
event tagged operator_state_cause=maintenance_window so the operator
can audit what tripped during the window.
Adds a narrow ResourceOperatorStateProvider interface to internal/ai
so the findings runtime stays free of an internal/unifiedresources
import. The API layer wires an adapter in router.go that projects
unified.ResourceOperatorState through state.IsInMaintenanceAt into
the ActiveMaintenanceWindow shape the findings runtime consumes.
Suppression is opt-in: stores without a provider wired keep the
original new-finding behavior bit-for-bit, so deployments that
haven't adopted the operator-state feature see no behavioral change.
IntentionallyOffline and NeverAutoRemediate land as compounding
slices on the same provider interface.
Slice 22 added the manual Mark resolved button (auto_resolved=false) but the
resolution-reason copy still flattened every closure into "Condition
cleared" or "Issue no longer detected" — the operator couldn't tell from
the timeline whether they had closed the loop themselves or Pulse had
auto-detected the condition clearing.
Threads the existing Finding.AutoResolved flag through unified.UnifiedFinding
(Go), router.go conversions, UnifiedFindingRecord (TS), and the store-level
UnifiedFinding. The frontend resolution-reason helper now reads "Resolved by
you <time>" when autoResolved === false, while keeping Patrol's specific
fix outcomes (fix_verified, fix_executed, resolved) priority because those
describe Pulse's actual remediation rather than mere auto-detection.
Slice 18 made will_fix_later a real operational commitment server-side, but
the new RemindAt field stayed invisible to operators until the reminder fired
a week later. This wires it through the API surface and renders it where the
operator decides and where they later revisit.
UnifiedFinding (Go and TS) and the Patrol Finding TS shape now carry
RemindAt / remind_at; router.go and AddFromAI mirror it like the other
user-feedback fields. FindingsPanel previews "Pulse will stay quiet for 7
days, then surface again on <date>" on the dismiss confirmation panel before
the operator confirms, badges dismissed-as-will_fix_later rows with
"Reminding <date>" in amber, and adds explanatory copy for the other two
dismissal reasons so all three paths feel deliberate rather than
undifferentiated.
Capture the prior InvestigationRecord.ProposedFix.Description into a
new Finding.PreviousResolvedFixSummary field at regression time, before
the InvestigationRecord is cleared. Without this capture the next
investigation starts from blank context whenever a finding regresses,
and operational memory of "what worked last time" is lost.
The summary propagates through:
- FindingsStore.Add regression branch (capture before clear)
- Finding.MarshalJSON / UnmarshalJSON (wire shape)
- Both Finding to UnifiedFinding conversion sites in router.go
- UnifiedFinding (struct + JSON shadow + Marshal/Unmarshal)
- UnifiedStore.AddFromAI update branch (non-empty overwrite)
- Assistant chat context as a "Previous Resolved Fix" line so the LLM
sees what worked previously rather than blank-slate diagnosing each
regression.
Adds a unit test that walks the full lifecycle (detect, resolve via
UpdateInvestigationRecord + ResolveWithReason, re-detect) and asserts
PreviousResolvedFixSummary is preserved while InvestigationRecord is
cleared, plus two chat-context tests covering the surfaces-when-set and
omits-when-empty cases. Adds a contract test pinning the canonical
"previous_resolved_fix_summary" JSON key. Updates the api-contracts,
ai-runtime, and the dependent agent-lifecycle, performance-and-
scalability, and storage-recovery contracts to pin the operational
memory propagation rule and its scope boundary.
Carry the Finding.Impact text added in the previous slice through the
Finding to UnifiedFinding boundary and onto the FindingsPanel surface
so the runtime-failure consequence-if-ignored copy is visible to the
operator. Add Impact to the UnifiedFinding struct, JSON snapshot, and
both Marshal/Unmarshal mirrors; copy f.Impact into both Finding to
UnifiedFinding conversion sites in router.go; mirror impact in the TS
UnifiedFindingRecord and Finding API types and the aiIntelligence
store normalizers; render an Impact line between Description and
Recommendation in FindingsPanel.
Also fix the FindingsStore.Add dedup-merge path so re-detected findings
overwrite existing.Impact alongside Description and Recommendation
rather than preserving the stale empty value left by an older binary.
Without this fix, a freshly-classified runtime failure with new Impact
text would be merged onto the persisted finding but the Impact field
would be silently dropped.
Verified end-to-end against the live runtime: triggered a Patrol run,
watched the runtime-failure finding regenerate, confirmed the
operator-visible card now renders "Impact: While Patrol cannot
analyze..." between Description and Recommendation. Updates the
api-contracts, ai-runtime, patrol-intelligence, and the dependent
agent-lifecycle, performance-and-scalability, and storage-recovery
contracts to pin the propagation rule and the dedup-merge invariant.
- rehydrate Patrol run context from Patrol history for chat requests and follow-up sessions
- send only browser-safe run metadata from the frontend
- classify and redact provider runtime failures in handoff prompts and briefings
Retire runtime/API/UI monitored-system volume enforcement now that infrastructure monitoring is no longer capped.
Keep only legacy metadata scrubbing and purchase-start compatibility for old max_monitored_systems references.
Rename the remaining preview surface to monitored-system impact and make previews explanatory rather than save-blocking.
Update subsystem contracts and RA7 evidence for the caps-retired invariant.
Remove local upgrade-metrics API registration, settings payload wiring, startup store migration, and backend conversion recorder hooks from the normal product runtime.
Delete the retired conversion/funnel and metering packages from compiled licensing code, and extend diagnostics boundary audits and governance contracts so maintainer commercial analytics cannot return through Settings or diagnostics.
Make direct CheckAuth failures return explicit auth-required responses while preserving route-specific auth errors through shared response capture.
Align API contract tests with uncapped self-hosted monitoring, route-local config import/export auth, and marketed entitlement upgrade reasons.
rcourtman