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Jev Complete Guide: API Keys and Confidence Routing
A step-by-step Chinese guide to putting Jev behind backend approval flows: obtain a JEV_API_KEY, send code, type, and scene to the evaluation endpoint, then route by confidence — 0.90 and above auto-pass, 0.70 to 0.90 human review, below 0.70 reject or retry.
- Format
- Article
- Reading time
- 3 min
- Published by
- Community
- Author
- 骑着蜗牛撵大象327
- Last verified
- Oct 2026
- Languages
- PythonTypeScriptJavaScript
Highlights
- Requests send three fields — code, type, and scene — and receive result, a 0-to-1 confidence, and a message for audit logs.
- Routing bands: 0.90 and above auto-pass with logging, 0.70 to 0.90 goes to human review, and below 0.70 rejects or retries.
- The guide keeps sandbox and production keys separate and recommends one key per business line for isolated revocation.
- Its failure table covers 401 key errors, 429 rate limiting with 200 ms exponential backoff, 5xx retried at most twice, and timeout fallback to local rules.
- The TypeScript example types result as approve, reject, or review so a misspelled value fails at compile time.
Watch out
The curl and fetch examples point at placeholder sandbox.api.jev.example and api.jev.example hosts, not a documented live endpoint, and no licence or pricing appears on the page. Thresholds are starting points meant for a config center, with shadow-mode running before any production cutover.
Questions about this entry
Short answers drawn from the linked project or page.
It replaces long, unmaintainable if-else approval chains with a decision model API: Jev returns a result and confidence for fields like code, type, and scene, while your own code keeps control of how the decision executes.
Inputs are code (case code such as loan_approval), type (scenario type such as consumer_loan), and scene (business scene such as credit_review). Outputs are result, a 0-to-1 confidence used for routing, and a message suitable for audit logs.
Create an app in the console to get JEV_API_KEY, store it only in server-side environment variables, keep sandbox and production keys separate, and issue one key per business line so a leak can be revoked without affecting other services.
Three bands: at or above 0.90 the decision passes automatically and is logged, 0.70 to 0.90 goes to a human review queue, and below 0.70 is auto-rejected or retried. The thresholds belong in a config center so gray-release tuning needs no redeploy.
401 for an invalid or misspelled key, 429 rate limiting with exponential backoff starting at 200 ms, 5xx model timeouts retried at most twice before going to a human, and silent timeouts that trip a circuit breaker and fall back to local rules.
It types result as approve, reject, or review and confidence as a number, so a misspelled value like approved fails at compile time; runtime schema validation still backs up every network response because types only exist at compile time.
Start in shadow mode that logs decisions without blocking, compare against the old rules at 10% traffic, then go fully live. Every judgment should retain the five-tuple code, type, scene, confidence, and result so the audit trail survives model changes.
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