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feat(triage): gate investigations on the issue's history and the decision model - #960
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The pre-LLM half of the alert gate: a decision model reads the incident and answers three bounded questions — what it deserves (investigate, monitor, noise), how urgent it is on the product's own four-value severity scale, and whether a customer would have noticed. It is deliberately not an agent turn. An investigation is one turn, so the thing that decides whether to run it sits outside: one Jev call, no tools, no transcript, no session. `monitor` exists so `noise` can stay sharp. Without a middle label every real-but-unremarkable incident has to be filed as one of the two extremes, and the one that skips work is the one that fills up. `investigation-gate.ts` is the policy, pure and beside `investigation-quota.ts` for the same reason — the whole table is testable without a database or a model: - an absent verdict always reads as investigate, so a classifier that is off, unreachable or broken never becomes a policy of dropping incidents; - `noise` skips only above a 0.8 confidence floor, because Jev returns a distribution and a 0.55/0.45 split is the model saying it does not know; - an incident the detector already called `critical` or `high` is never skipped on the classifier's word — it read a summary, the detector saw the signal; - severity only ever goes up, since severity is what pages people; - a forced (manual) start is never refused, though its severity is still used. Live against `~typesafe/jev-latest`, five realistic incidents: a scanner 404 flood and a flood of client disconnects came back noise at 0.99 and 0.95, a single retried timeout came back monitor, a checkout TypeError after a release came back investigate/high, and a Hyperdrive connect timeout came back investigate/critical.
Tested the gate against 30 real error issues and then the 16 highest-volume error types from the last 24h, through live Jev. The first run skipped nothing at all, and the reason was the question, not the model: the `noise` criterion described a web service's error stream — scanners, bots, cancelled requests — while this org's stream is a CLI product's, where the noise is "your port is already in use" and "maple is already running". Rewritten around what the service actually emits, `noise` now covers the user's own environment, input the service correctly rejected, corrupt or hostile payloads, and synthetic traffic. On the same 16 incidents that skips two, both right: `failed to bind 127.0.0.1:4360: Is port 4360 in use?` at 0.88 — 177,574 events, the largest error stream in the org, and nothing anyone will fix — and `maple is already running (PID 1)` at 0.88. Every genuine defect still runs: the checkpoint schema mismatch, the EPERM chmod, the archive digest mismatch, the web TypeError. One retry, because the provider is intermittently wrong rather than broken. Roughly one call in sixteen returns a score distribution that misses `DecisionModel`'s 1e-6 sum check, and the same input answers cleanly on the next attempt; effect's check has no tolerance knob. Two consecutive 16-incident runs are clean with the retry in place. Also: `SEVERITY_RANK` keeps its inference and validates with `satisfies`, which is what the anti-slop rule asks for.
📝 WalkthroughWalkthroughThe change adds incident-triage domain contracts, an LLM-backed classifier, configurable decision-model resolution, and an investigation gate that combines triage and detector severity. ChangesIncident triage flow
Priority: ➖ Normal Estimated code review effort: 3 (Moderate) | ~30 minutes Change: Feature Sequence Diagram(s)sequenceDiagram
participant classifyIncident
participant IncidentTriage
participant DecisionEndpoint
classifyIncident->>IncidentTriage: submit incident request
IncidentTriage->>DecisionEndpoint: request triage decision
DecisionEndpoint-->>IncidentTriage: return decision response
IncidentTriage-->>classifyIncident: return IncidentTriageVerdict
Merge Risk: 🔵 Low · up to The new triage components have bounded issues: an exact-threshold noise verdict can be skipped contrary to policy, permanent provider failures incur an unnecessary retry, and audit metadata can misidentify the model used. These should be addressed before relying on the new triage flow. 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✨ Finishing Touches📝 Generate docstrings
🧪 Generate unit tests (beta)
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In `@apps/ai/src/triage/incident-classifier.ts`:
- Line 74: Update the retry policy in the DecisionModel.decide pipeline to use
error.reason.isRetryable as its predicate, replacing the unconditional
Effect.retry({ times: 1 }) behavior while retaining the single-retry limit for
retryable AiError failures.
- Line 92: Update classifyIncident and layerDecisionModel to resolve a single
concrete model value and reuse it for both the OpenRouter request and the
recorded audit model, rather than independently using resolveDecisionModel(env)
and options.model. Replace the mutable ~typesafe/jev-latest alias with a pinned
model ID or preserve the concrete ID returned by the provider adapter.
In `@packages/backend/src/services/errors/investigation-gate.ts`:
- Line 71: Change the confidence threshold comparison in the investigation gate
to a strict greater-than check, so noise is skipped only when
dispositionConfidence exceeds NOISE_CONFIDENCE_FLOOR; add a test covering
equality at the threshold and verify the incident is not skipped.
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apps/ai/src/platform/Llm.tsapps/ai/src/triage/incident-classifier.test.tsapps/ai/src/triage/incident-classifier.tspackages/backend/src/services/errors/investigation-gate.test.tspackages/backend/src/services/errors/investigation-gate.tspackages/domain/src/http/incident-triage.tspackages/domain/src/http/index.ts
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…sion model Three gates now stand between an open incident and a model pass, cheapest first, and every refusal lands on the maybeStartInvestigation span as start_result. The issue's own history, no model. An error incident auto-resolves after thirty quiet minutes and the next occurrence opens a fresh one, and the enqueue path deduped on incident id alone, so an issue firing on a retry cadence was diagnosed on every flare-up: one CheckpointCreateError opened 83 incidents in five days and was diagnosed, identically, on fifteen of them, and an issue a person had moved to in_review kept receiving reports. Now an issue past triage/regressed is skipped as somebody's, one diagnosed within a week (a day for alerts and anomalies) is skipped unless the incident is a regression, and a pass under way answers for the flare-up. The decision model, over a new AI_WORKER service binding from alerting to maple-ai and POST /internal/triage/classify, authenticated with the internal service token. Alongside disposition and severity it is now shown the service's recent diagnoses and asked whether one already explains the incident; a confident match skips as covered_by_prior, pointing at that run. Measured against real CLI incidents: three true matches found, zero false positives across seven same-service lookalikes, four of them the same exception type with a different mechanism. A skipped noise incident labels its untriaged issue with the model's severity, without escalating; a run that does start is seeded with the settled severity and the quota is judged by it. No verdict always reads as investigate. Anomaly incidents record a gate skip as triage_status skipped.
The classifier retried every failure once; the case it exists for is an InvalidOutputError the AiError contract already calls retryable, so the retry now follows error.isRetryable and a rejected key or a policy refusal is not sent twice. The noise floor's inclusive boundary is now pinned by a test and named in its comment.
`IncidentTriageUnauthorizedError` arrived with the triage gate (#960) and the generated set was not rebuilt with it, so `anticipated-errors.test.ts` is red on main as well as here. Regenerated; the diff is that one identifier.
…tics-integration Keeps both service imports where #960's IncidentClassifier landed beside GoogleAnalyticsService in the alerting tick graph. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Two conflicts in the `submit_diagnosis` completion, both resolved by keeping main's new behaviour and this branch's origin. `buildDiagnosisCompletion` now registers its handler through `toolHandlersWithContent` with the run's session attributes (#962), so the report and the result land on the tool span — and it still takes the turn's origin, refuses a connector by it, and reports `autonomous` from it rather than from a user id. `tools.test.ts` keeps both tests: the span assertion, now driven by an autonomous origin instead of the internal-service tenant, and the connector refusal. #960's triage gate starts investigations through `startInvestigationTurn`, which already states `origin: { kind: "autonomous" }`, so it needs nothing.
…ng fetch Both land from #960 and fail on this branch's merge with main: the new IncidentTriageUnauthorizedError was never written into the generated identifier list, and IncidentClassifier's binding fetch misses the preconnect member Bun's fetch type carries. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Two things #960 left behind that only CI saw: - `IncidentTriageUnauthorizedError` is a 4xx error, so it belongs in the generated anticipated-error list; the drift test caught the stale output. Regenerated. - `typecheck-api` sees a `fetch` type with `preconnect` on it, so a binding fetch annotated as `typeof globalThis.fetch` does not typecheck there. The classifier now builds its HttpClient straight over the service binding with alchemy's `fromCloudflareFetcher` + `toHttpClient`, the same adapter the api Worker forwards to maple-ai with, and drops the Fetch-service detour.
* Draw an agent's chart as an image a chat platform can embed
A reply can carry a ```chart fence, and the web transcript plots it with
React. A chat platform cannot: it needs a URL that returns a PNG, fetched
by servers holding no Maple credential.
So the same shape as the alert chart image, one layer along. A signed id
names *where* the chart is — org, conversation, message, and the fence's
position in that message — rather than what it holds, because a chat
platform caps how long a link it will unfurl and a series with two
hundred points does not fit in one. Nothing is stored: the conversation's
own event log already has the reply, so `/v2/share/chat-chart` verifies
the signature, reads the transcript off the ChatSession stub, and returns
the numbers behind that one chart. `/chat/chart/<id>.png` on the web
origin draws them, where the takumi wasm and the fonts already live.
The id's org and its session id's org have to agree before anything
reaches for a conversation; `chatChartSession` is what hands back the id
to address, so the check cannot be stepped past.
`@maple/widgets`' plot renderer grows a multi-series entry point for it —
a fence names N series where an alert names one — and the alert path
keeps its exact output, byte for byte. A ranking is composed as takumi
nodes instead: its bars are labelled with category names, and type is the
one thing an SVG here cannot draw.
Cache is 300s rather than the alert chart's week, and not `immutable`: a
fence is final once its turn ends, but an id can be minted while the
reply is still streaming.
* Give a chart image its own rate-limit bucket, and bound what a fence can ask for
Review findings on the chart image path, one of which predates this branch.
**The rate-limit key was the wrong half of the id.** Both chart endpoints
keyed their bucket on `chartId.slice(0, 24)`, and a chart id is a base64url
payload that starts with the org — so the first 24 characters of two
different charts in one org are the same string. Every chart image an org
had posted shared one bucket, and because the limit runs before
verification, anyone who knew an org id could fill that bucket with ids
that never verify. Keyed on the signature instead, which is a digest of the
whole payload. This fixes the alert chart too.
**A fence names its series rather than declaring them**, so one row with
four hundred keys was four hundred series in the response — points and bars
were bounded, the series axis was not. Capped, biggest first, matching how
the renderer picks the five it draws.
**Scaling can undo a finiteness check.** A fence is checked finite before
its values are scaled into the renderer's unit, and seconds near the top of
the double range are `Infinity` in milliseconds. Those points are dropped
now, and the wire contract says finite on both axes rather than borrowing
the alert chart's plain numbers — a non-finite value crosses as a JSON
`null` and plots as a NaN coordinate.
Also: the DO read no longer discards its cause, laying the card out moved
inside the try that keeps a throw from becoming a 500 in an image slot, and
the chat response's unit is its own OpenAPI component rather than one named
after alerts.
* Drop the import the chat chart's own point tuple replaced
`apps/local-ui` typechecks with `noUnusedLocals`, which the packages do not,
so the leftover `AlertChartPoint` import failed there and nowhere else.
* Pin the alert chart's drawing before merging the two renderers
Captured from the renderer as it stands, so the merge that follows has
something to be wrong against. The alert path is live — its images are in
notifications already delivered, and a line moved by a pixel would show up
in a channel rather than in a test run.
* Collapse the alert and chat charts into one chart
An alert chart is a chart with one series and a threshold. That was true
from the start; the code just did not say so, and carried two of nearly
everything as a result — two renderers, two cards, two image pipelines,
two id schemas, two request bodies, two unit unions, two point tuples.
Now there is one of each, and four places where the two actually differ:
1. the signing label and claims tuple, because ids already embedded in
delivered notifications must keep verifying;
2. the resolver — a warehouse read by rule and window, or a transcript
read by message and fence;
3. the URL prefix and the operation that answers it, both stable;
4. cache policy, now a field in a per-kind table rather than a branch.
The rest is derived. A chart with one series takes its unit's semantic
colour instead of the palette's first slot, and puts that series' value in
the header where a legend of one would only repeat the title — which is
what made an alert card look like an alert card, stated as a rule about
charts rather than a branch on where the chart came from. The unified card
reproduces the old alert height exactly, 368px.
The golden SVGs pinned in the previous commit still pass. Four of the six
are byte-identical; the two area cases differ only in the gradient's own
`id` (`areaFill` → `areaFill0`) and the `url(#…)` that names it, with every
coordinate, colour and opacity unchanged.
Also fixes a real bug where the two sides met. The relay counted a chart's
index only among fences that *parsed*, while the image endpoint counted all
of them, so one malformed fence renumbered every chart after it and a
reader got the wrong plot under the right words. Both now share one
splitter in `@maple/domain/chat-chart-spec` and count on the way in, before
anything asks whether the payload is a chart. A test pins the agreement.
Net: 663 insertions, 1239 deletions; 21 fewer exported chart types and
functions; two fewer files.
* Survive a deploy skew, and keep the chart route's failures uniform
Review findings on the collapse.
**The alert response shape changed on a URL that is already in delivered
notifications.** api and web are separate Workers that can serve different
commits at once — alchemy isolates per-resource failures, and on 2026-09-07
prod ran a six-hour-old api behind a current web because one upload was
rejected and its siblings shipped. The worse order was old web against new
api: the deleted `alert-chart.ts` read `series.points.length` outside its
try, so a body with no `points` was an uncaught TypeError and a 500 in an
image slot. api therefore emits the flat `points` alongside `series` for one
release and web falls back to it, which makes both orders safe. Both are
marked for deletion once a deploy has put the two Workers past this commit.
**`ChartUnit` is append-only now, and nothing said so.** A signed alert id
decodes its unit through that schema, so removing a member 404s charts
people can still see in their channels. Written down where the list is.
**The alert operation no longer advertises a variant it cannot return.** Its
success schema is `ChartTimeseries`; only the chat operation takes the union
with `ranked`.
**`AlertChartPayload` now says finite.** The response schema tightened to
`Schema.Finite`, and a `Schema.Class` constructor throws rather than
failing — which on this route would be a 500 where every other outcome is
the same 404, and so an oracle for "this id verified". Stating it in the
payload costs nothing (`JSON.stringify` writes `null` for a non-finite, so
no id ever minted carries one) and beats a runtime filter for a value that
cannot occur.
**A malformed percent-escape was a 500.** `decodeURIComponent` throws a
URIError on a lone `%`, ahead of the SPA shell. Carried over from the old
parsers rather than introduced here, but it is the same uniform-404 posture,
so it is fixed with them.
Also: the card decided its colour on the spec's series and its layout on the
rendered legend, so a two-series spec with one empty series drew the solo
layout in the palette's colour. Both read one filtered list now.
* Type the two shapes an image endpoint can actually return
Two type errors from the collapse, both in test-adjacent code.
`it.each` resolved to its spread-the-tuple overload because the signer table
is `as const`, so its rows arrive as a readonly tuple rather than an array of
objects. A plain loop says the same thing and has no overload to pick.
The other was the deploy-skew fixtures failing to typecheck against
`ShareChartResponse`, which is the right complaint: they are the *old* alert
body, and the reason they draw at all is that `cardFor` handles it. The
signature was claiming a validation that does not happen — nothing checks
`response.json()`. It now names both shapes, so the fallback is a branch the
compiler checks rather than a cast in a test, and the extra member is
declared next to the field it exists for and dies with it.
* Regenerate the anticipated-error identifiers
`IncidentTriageUnauthorizedError` arrived with the triage gate (#960) and the
generated set was not rebuilt with it, so `anticipated-errors.test.ts` is red
on main as well as here. Regenerated; the diff is that one identifier.
Stops the pipeline investigating the same thing over and over. Three gates now stand between an open incident and an LLM pass, cheapest first, and every refusal lands on the
maybeStartInvestigationspan asmaple.investigation.start_result.What was actually being wasted
Measured on the internal org, 2026-09-14..20. 95% of the ~100 daily starts come from the error tick; anomalies are 3–10 a day. The waste is not new noise, it is re-investigating the same issue on every flare-up:
first_seen, since only adoneissue can regress), and the enqueue path deduped on incident id alone;CheckpointCreateError(9b68eea3) fires on a ~30-min retry cadence: 83 incidents in five days, ≥15 full diagnoses, ~1M tokens each, the later ones literally opening with "this is chronic, not new";already running (PID 1)got five identical diagnoses after a human had attached a PR and moved it toin_review;The gates
1. The issue's own history —
evaluateIssueGate, no model call. Skip when the issue is pasttriage/regressed(issue_handled), when a diagnosis newer than a week (a day for alerts and anomalies) is on file and the incident is not aregression(recently_diagnosed), or when a pass is still under way (investigation_in_flight; a row pastSTALE_MSdoes not count). A forced start passes. This alone removes almost all of the repeats above.2. The decision model —
IncidentClassifierinpackages/backend, a typedHttpApiClientover a newAI_WORKERservice binding from alerting (and api) to maple-ai, callingPOST /internal/triage/classifywith the internal service token. Read optionally bymaybeEnqueueTriage(Effect.serviceOption), so a deployment without the binding, a missing token, a failed or slow call (10 s bound) all read as "investigate". Besides disposition, severity and user impact, the classifier is now shown the service's recent diagnoses and asked whether one already explains the incident; a match at ≥ 0.85 skips ascovered_by_priorand points at that run.evaluateIncidentGatenever skips what the detector calledhigh/critical, and only ever raises severity.3. The quota, judged by the severity the classifier settled on, so the
high/criticalreserve is reachable by an incident the detector left unclassified.A skipped noise incident labels its issue's severity if nobody had, without an escalation row (
applyClassifierSeverity; the escalation path would otherwise deliver alowas a warning). Anomaly incidents record a gate skip astriage_status = skipped.Tested against production
The three classification questions, on the 16 highest-volume error types of the internal org: two skipped as noise (port already in use, already running), every genuine defect proceeds, severity matched the human's on all 11 that had one. Roughly one call in sixteen comes back with a distribution that misses effect's hard-coded 1e-6 sum check; one bounded retry, two clean runs after.
The prior-match question, on real CLI incidents against three diagnosed headlines:
checkpoint schema mismatch (5642766f…; d975e674…), other fingerprintmaple is already running (PID 1)failed to bind 127.0.0.1:4360(prior said 4340)EPERM … chmod '/var/lib/maple/data/backups'(same exception type)checkpoint sourceDataDir does not match its configured ownerthe local store at /data/store was not cleanly closedENOSPC … data.maple-maintenance-lockZero false positives across seven same-service lookalikes, four of them the same exception type with a different mechanism. The one miss is the conservative direction.
Checks
Per-package typecheck (domain, backend, ai, alerting, api), oxlint + oxfmt on the changed files,
investigation-gate(22),ai-triage-enqueue(18),IncidentClassifier(4),incident-classifier(4) andtriage.http(2) tests, plus the live runs above.Not run: the local
alchemy devstack end to end (the new binding materialising under workerd and a tick reaching maple-ai) and analchemy planagainst prd. Both are the first things to do before deploying: the binding is declared inapps/alerting/src/worker.tsand provided inalchemy.run.ts, and alerting needsINTERNAL_SERVICE_TOKENset, which it already declares as optional.Summary by CodeRabbit