Use cases· Last updated

Logistics confidence thresholds with Jev

Drivers and partners send messy exception notes. The TMS still owns routes, ETAs, and capacity. Jev classifies the exception text so code can pick a playbook. It does not solve VRP or promise a new arrival time.

This unofficial page is the confidence thresholds slice of the logistics dispatch decisions pack. Intent: apply the Jev (TypeSafe System One) decision model to logistics dispatch decisions confidence thresholds. Primary search language: Logistics Jev confidence thresholds. 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): Exception-class + SLA-risk on notes, with ETAs computed in the TMS — not a clone of a dispatch-optimization product page.

Logistics use-case context

Thresholds turn logistics dispatch decisions answers into act / review / abstain. They are product policy, not a hyperparameter TypeSafe ships. Official 0.5 / 0.9 sketches are illustrations. This slice also carries the false-reject discussion: over-gating logistics dispatch decisions hides calibration.

Hub: Use cases. Compare, when the other tool is the real job: logistics dispatch.

Confidence Thresholds inputs

You need (1) pinned answers on a frozen contract and (2) labels for exception gold from dispatchers, sla-risk gold, and whether escalate was justified. State shape:

{
  "note": { "id": "stop-441", "text": "Dock closed; guard says come back after 16:00." },
  "sla": { "late_band": "30-60m", "priority": "p2" },
  "playbook": { "redeliver": "Closed dock + next window same day → redeliver; perishable → escalate." }
}

Decision signals and actions

Axis Where it lives Logistics use
choice / score / noul answer payload What to do with the exception note + SLA bands
confidence Choice & Score only Whether to trust the argmax
Distance from 0.5 Noul Whether sla_risk is decided
FLOORS = {
    "tag_exception_only": 0.55,      # illustrations — replace
    "auto_cancel_stop": 0.92,
}
NOUL_TAU = 0.78  # for sla_risk

def allow(ans, action):
    return ans.confidence >= FLOORS[action]

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

Guardrails and escalation

TypeSafe’s confidence-gated examples use a lower bar for recoverable reads than for irreversible actions. Those numbers are illustrations. For logistics dispatch decisions, treat auto_cancel_stop as the high bar (cancelling a stop or sending a customer a new promise time). Tune on labels — see offline evaluation.

Band around 0.5 on sla_risk always reviews. Do not copy 0.78 onto Choice confidence.

Evaluation and rollout notes

Fit loop: pin jev-1.13.0 → replay → plot error vs confidence → pick floors where auto-act error ≤ your SLA. 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 policy checks
Act / review / abstain you are here
Reviewer payload human handoff
What to persist audit trail
How it breaks failure modes
Labeled replay evaluation
Shadow → canary production rollout

FAQ

Should auto_cancel_stop use 0.9 everywhere? No. Over-gating hides calibration and dumps the queue on humans. Fit per action.

Can I reuse a Noul τ as Choice confidence? No. Jaggedness: they are not interchangeable. See confidence.

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

Will Jev reroute the truck? No. The TMS reroutes after your worker picks a play. Jev classifies the note.

Can we send a photo of the closed dock? Not to System One. Transcribe. Images are not accepted.

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.