Use cases· Last updated 2026-09-21

Triage audit trail with Jev

Incoming tickets need a queue, a temperature reading, and a sense of time pressure — then code routes. Jev judges; it does not write the reply.

This unofficial page is the audit trail slice of the support triage pack. Intent: apply the Jev (TypeSafe System One) decision model to support triage audit trail. Primary search language: Triage Jev audit trail. 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): Full triage pack (contracts → thresholds → handoff → audit) beats a single support-triage-choice recipe. We do not clone rival recipe IA.

Triage use-case context

An audit trail for support triage is a decision trace: replayable inputs, typed answers, floors, and the action the intake router took. It is not a chat log and not a clone of a SIEM product page.

Hub: Support triage hub. Compare, when the other tool is the real job: keyword triage.

Audit Trail inputs

Persist the filtered payload (the contract), not whatever arrived at the edge:

{
  "ticket": { "id": "T-1042", "body": "Card charged twice after the outage.", "channel": "email" },
  "customer": { "plan": "pro", "open_incidents": 1 },
  "policy": { "p1": "P1 = safety issue or complete outage" }
}

Redact secrets before the object hits cold storage.

Decision signals and actions

Minimum fields:

• ticket.id
• resolved model (jev-1.13.0 vs alias)
• question ids + answers + probabilities
• floor / τ that fired
• downstream queue or page action

Also store usage.input_tokens (vendor meter) and the full probabilities map — argmax-only logs cannot explain a close department.

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

Guardrails and escalation

If you cannot explain paging on-call or issuing a refund flag from the trace, you are not ready to auto-act. TypeSafe’s confidence-gated examples use a lower bar for recoverable reads than for irreversible actions. Those numbers are illustrations. For support triage, treat page_oncall as the high bar (paging on-call or issuing a refund flag). Tune on labels — see offline evaluation.

Evaluation and rollout notes

Traces are the eval warehouse. Replay against queue gold, urgency gold, and whether a human would have paged after criteria or alias changes. 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

FAQ

Is the HTTP log enough? No. Persist the filtered state, full probabilities, floors, and downstream action as a decision trace.

May I log raw secrets? Redact in code. Jev will not be your DLP layer.

Where is the rest of the Triage pack? Start with Triage human handoff and Triage evaluation. Cluster hub: Use cases.

Can Jev replace the support agent? No. It classifies and scores. Agents, macros, or humans act. See the support triage hub.

Should every company copy TypeSafe’s 0.5 intent floor? No. Official numbers are illustrations. Fit on offline evaluation.

What this page does not claim

• No invented triage accuracy or SLA.
• Schema-safe department ≠ the customer named the right product.
• Not official TypeSafe documentation.
• Official TypeSafe status, or that jev.pro issues API keys.
• That a schema-constrained answer is automatically factually correct.

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.