Monitors, actions and recovery

The fifteen monitor kinds with preview and projected alert volume, cooldown, mute and ownership; the policy ladder from Observe to Scoped autonomous and the halt switch; the closed action catalogue; signed delivery through connectors; approving a recommendation.

sentinelmonitorspolicyautonomybreach-thresholdactionscatalogueconnectorswebhookhmacrecovery

Two kinds of signal

A single run's evaluation tells you that one answer was bad. Monitors watch the fleet for what no single run can show — drift over a week, cost creeping up, an agent that has gone silent, a judge that has quietly stopped scoring one dimension. When something is wrong, actions are how Sentinel proposes, and within limits you set applies, a fix — always through a connector you configured and always from a closed catalogue.

Monitors

Sentinel → Monitors → New monitor. Pick a kind, scope it (an agent, a fleet, an environment, or everything), set the bar and the window, and preview it: Sentinel replays the condition over your recent history and reports how often it would have fired, projected to alerts per day and per week, with a verdict — "would fire about 38 times a day and would be ignored" is the kind of thing it says, because a monitor that pages that often is not a monitor by the second week.

Kind Fires when Reach for it because
Thresholda dimension's score crosses a bar — safety < 90the simplest gate on quality.
Trenda metric moves materially against its own recent baseline — quality down 15% vs the previous 7 daysslow drift never crosses a fixed line.
Error ratea tool, or the run itself, fails too oftentool failures show in the events before they show in scores.
Costspend per run moves — cost/run up 40%a prompt change that doubled token use is a regression nobody sees on a quality chart.
Latencyrun latency crosses a bar at a percentile — p95 > 15 susers feel the tail, not the mean.
Percentile regressionp95 of a measure moves against its baselinea mean absorbs a tail; p95 doubling while the average holds is exactly what a mean hides.
Version regressiona new agent version is materially worse than the one beforethe deploy is the most common cause of a regression, and the easiest to roll back.
Absencean agent has emitted no run in a windowthe one condition an agent can never report about itself — silence is the signal.
Skip ratetoo many runs were scored on only some dimensionsa judge quietly failing on one dimension leaves every other score looking fine.
Backlog agethe oldest ungraded run has waited too longa count cannot tell a queue draining in seconds from one stuck for hours; age can.
Evaluation failureruns that could not be graded at alla dead judge provider — a model at end of life, a revoked key — shows here first and nowhere else until scores stop arriving.
Safety breachcritically breached runs in the window — default bar: anya count, not a score threshold, so it cannot be tuned away by moving a number.
Confidence anomalythe judge is unsure, or its consensus samples disagreea low-confidence score is not a low score; it is one that should not be relied on, and every score-based monitor stays green while it happens.
Prohibited actionrecovery actions the policy refusedsomething repeatedly proposing actions outside the catalogue or above the autonomy level is a signal in its own right.
Compoundseveral conditions together, AND/OR — quality down AND cost up after a deploya real regression has a shape; one condition alone is often noise.

Every monitor has an owner (default: whoever created it — an unowned monitor is the one nobody tunes), a cooldown so a flapping condition raises one alert rather than forty, and can be muted for a period with a reason. Changes are recorded in the monitor's audit trail — only what changed, so the one threshold quietly widened is not buried under every save. A firing monitor raises a platform alert through the normal routing, silences and on-call schedules. A monitor with nothing to measure reports no data, which is distinct from OK and is itself something to notice.

Policy: what Sentinel may do on its own

Sentinel → Configuration → Policy & recovery. Three controls, each scopable to an agent, a fleet or an environment:

  • Breach threshold — the score below which a dimension breaches (default 50), with per-dimension overrides.
  • Autonomy level — a ladder, not a switch. Observe: evaluate and report only. Recommend (the default): propose actions, execute none. Prepare: resolve an action's parameters and validate its target, but a person approves. Auto low-risk: execute actions whose own definition permits it at this level. Scoped autonomous: remediate within scope, still bounded by each action's ceiling. Higher levels include the lower ones; an unrecognised setting is read as Recommend, never as more.
  • Halt all recovery actions — one switch that stops every outbound delivery for the organization, immediately, whatever the autonomy level. Turn it on first and ask questions after.

The toggle Raise a platform alert when an agent breaches sends each breach into the platform's alerting as well as opening a Sentinel incident.

The action catalogue

Recommendations can only name actions from a closed, engineer-defined list. The AI-SRE model that writes recommendations is shown these keys and may choose among them; anything it invents is rejected before it is ever stored. Each action declares its risk, whether a person must always approve it, and the highest autonomy level at which it may ever run unattended:

Group Actions Unattended?
Make the agent more careful, or tell someoneenable_fact_checking, require_citations, add_validation, increase_review, notify_ownerThe only actions that can ever run without a person — and only at Auto low-risk or above.
Change the modelreduce_temperature, rollback_model, switch_providerA person always approves; Sentinel may prepare them.
Tools, lifecycle and publishingdisable_tool, pause_agent, retry_publishA person always approves; Sentinel may prepare them.

There is deliberately no key whose effect is to relax a safeguard — the catalogue is also what a model can ask for, and an action that cannot be named cannot be recommended.

Connectors: where an approved action goes

Sentinel never touches your systems directly. An approved action is delivered as a signed HTTP request to a connector you define under Sentinel → Actions:

  1. Endpoint URL — your service that knows how to pause an agent or require citations in your stack. Private and link-local addresses are refused, so a connector cannot be pointed at the platform's own network.
  2. Authentication — signature only, a bearer token, or a named header carrying a credential. The credential is shown once and cannot be read back; rotate it from the connector.
  3. Actions this connector may carry — a subset of the catalogue. A connector for pause_agent cannot be sent rollback_model.
  4. Scope — restrict it to an agent, a fleet or an environment.

Every delivery carries X-Sentinel-Signature (v1= an HMAC-SHA256 over the request), X-Sentinel-Timestamp, X-Sentinel-Org, X-Sentinel-Action, X-Sentinel-Request-Id and X-Sentinel-Idempotency-Key. Verify the signature, reject stale timestamps, and treat the idempotency key as the unit of "already done" — retries reuse it. Deliveries retry with backoff behind a circuit breaker; the log on the Actions page shows every attempt, and the Sentinel Health tab counts connectors that are failing and connectors that are unproven — configured but never successfully delivered to, which is the state most connectors are in the day they matter.

Approving a recommendation

From the incident, from the agent's Recommendations tab, or with the apply_recommendation MCP tool. Approval checks the policy (autonomy, halt switch), resolves a connector in scope that carries the action, signs and delivers. A recommendation with no eligible connector says so rather than pretending it was delivered; a delivery the policy refuses is recorded as rejected, which is what the Prohibited-action monitor counts.