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signalDEV Community2026-09-17

let Jev score OpenTelemetry logs before a bigger LLM sees them

Jev Logs is an MIT-licensed, open-source TypeScript triage layer that uses TypeSafe's Jev via the Vercel AI SDK to score OpenTelemetry logs before expensive LLM analysis, assigning a 0 - 100 diagnostic value, priority (critical/high/normal/low), actionable probability, and a route (analyze/retain). It skips deeper analysis only when priority is low, value ≤25, and actionable probability <0.1, and integrates by wrapping an existing OTLP exporter (Node.js 22+), with annotation mode preserving all records and rule-based filters (e.g., `^GET /health` → retain) to avoid Jev calls. Run `npx jevlogs` for an offline demo or `--live` with a local OTLP receiver on `127.0.0.1:4318` to cut LLM spend by sending only high-signal logs to reasoning models.

why now
New open-source log triage.
topic
AI Tools & Agent Workflows
source
DEV Community
#OpenTelemetry
score
score 7 out of 10. 0-10: how dense the facts are, multiplied by how much you can do with them after reading. 8+ means the topic's evidence bar is met: benchmarks and availability for a new model, amount and investors for a funding round, revenue figures for a solo-money story. Below 5 an item does not enter the digest. A press release scores 3 or less, a reprint loses 2, anything older than 14 days loses 1, a headline that misleads loses 3.
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