Use cases· Last updated

Incident response policy checks with Jev

Prometheus rules and PagerDuty already page on numeric thresholds. Jev is optional on messy customer-reported incidents or multi-alert narratives: which SEV band, which runbook class? It does not roll back deploys or page people.

This unofficial page is the policy checks slice of the incident response classification pack. Intent: apply the Jev (TypeSafe System One) decision model to incident response classification policy checks. Primary search language: Incident response Jev policy checks. Confirm patterns on docs.typesafe.ai. This site does not sell, issue, or proxy TypeSafe keys. Use a credential you already have from the console or a documented gateway.

Independent angle (cover ≠ clone): Runbooks and pagers stay; Jev classifies messy alert/customer text into SEV / runbook class, then code pages. Not a runbook-clone or status-page IA photocopy.

Incident response use-case context

A policy check is a typed question whose instructions + criteria are your rules about the alert/customer incident narrative. Jev scores compliance; the incident classifier enforces. This is not a certification, and it is not a photocopy of a rival “policy engine” page — we keep rules atomic and ANDed in code.

Hub: Use cases. Compare, when the other tool is the real job: incident runbooks.

Policy Checks inputs

Put policy text and the artifact in structured state (never hope the model memorized last quarter’s PDF):

{
  "report": { "id": "INC-44", "text": "Checkout 500s since 14:02 UTC after the payments deploy. Status page still green." },
  "signals": { "error_rate_bucket": "high", "payments_deploy_recent": true },
  "policy": { "sev1": "SEV1 = complete checkout loss or safety." }
}

Name report.text, policy.sev1, signals.error_rate_bucket.

Decision signals and actions

Id Rule Enforce
metrics_win Numeric SLO breaches page without Jev code / Prometheus
sev_def Language vs written SEV1 definition Jev Choice + Noul
mitigation Rollback steps live in the runbook runbook

Typical primitives on the same request:

Id Type Job
sev Choice sev1 / sev2 / sev3 / other
runbook Choice payments_deploy / dependency / capacity / unknown / other
customer_impact Noul Does the narrative describe user-visible loss vs policy.sev1?
violations = [name for name, ans in policy_nouls.items() if ans.noul >= T_VIOLATION]
if violations:
    return review(violations)

Do not treat a Noul of 0.5 as a “medium” incident response classification score — it means yes and no are equally likely. Conjunctions stay in your code.

Guardrails and escalation

Policy-in-state can be attacked (“ignore the policy”). High-risk paging SEV1 / rolling back via automation still needs deterministic checks. TypeSafe’s confidence-gated examples use a lower bar for recoverable reads than for irreversible actions. Those numbers are illustrations. For incident response classification, treat page_sev1 as the high bar (paging SEV1 / rolling back via automation). Tune on labels — see offline evaluation.

Evaluation and rollout notes

Gold labels are policy-versioned. A criteria edit without replay is how silent false-allows ship. Pin jev-1.13.0 (the versioned id) after you fit thresholds. jev-latest and the marketing line jev-1.13 can move. Log the response model. TypeSafe’s published list price for jev-1.13 is $0.042 per million input tokens (vendor claim — confirm on the models page); output tokens are free on that same page. Unused distractors still bill as input.

Official Python and JavaScript SDKs read TYPESAFE_API_KEY and retry documented 429/529. This site does not sell, issue, or proxy TypeSafe keys. Use a credential you already have from the console or a documented gateway.

Pack map

Slice Page
Graph and primitives decision workflow
What may enter state input contracts
What to gather first evidence collection
Atomic rules you are here
Act / review / abstain confidence thresholds
Reviewer payload human handoff
What to persist audit trail
How it breaks failure modes
Labeled replay evaluation
Shadow → canary production rollout

FAQ

One Score for “compliant”? No. Atomic Nouls per rule, AND/OR in code. Money and dates: extract in code first (jaggedness).

If a regex can enforce it, should I still call Jev? Skip Jev. Official “how to build” guidance: keep deterministic rules in code when you can.

Where is the rest of the Incident response pack? Start with Incident response decision workflow and Incident response human handoff. Cluster hub: Use cases.

If metrics already say critical, should we wait for Jev? No. Metrics page now. Jev is for leftover messy text. See safe defaults.

Can Jev write the status-page update? Not in this workflow. Classification only. Generation is a different job.

What this page does not claim

Disclaimer

This is an independent unofficial site and is not affiliated with TypeSafe AI; official documentation is available at https://docs.typesafe.ai.

Primary documentation: https://docs.typesafe.ai. Hub: Use cases.

Sources

Public TypeSafe or adjacent documentation only. No private claims.