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CommunityRepos & SDKs10 starsVerified 2026-09-22

Jev Logs

An OpenTelemetry exporter wrapper that scores each log record with Jev for diagnostic value, priority, and routing, letting low-value events skip an LLM-analysis branch while every record stays in your archive.

Open github.comreachjalil/jevlogs
Category
Repos & SDKs
Published by
Community
Author
reachjalil
Added
2026-09-22
Tagscommunitytypescriptroutingdataopentelemetry

Highlights

  • Annotation mode wraps an existing exporter and attaches jev.* attributes while keeping resource, scope, timestamps, and trace context.
  • retainBelow, default 0.1, routes confidently low-value events away from analysis; errors, ambiguity, and provider failures stay eligible.
  • The receiver accepts OTLP JSON or protobuf up to 1 MiB and 100 records per request, with four evaluations in flight, and binds to loopback only.
  • A cost example routes 10% of 1M monthly logs and drops analysis cost from $200 to $49.40 using GPT-4.1 mini.

Quickstart

bash
npm install jevlogs
npx jevlogs@latest --live

Watch out

MIT-licensed and in public preview. Needs Node.js 22+ and an AI_GATEWAY_API_KEY (a Vercel AI Gateway key, not an OpenAI key), and it is a local development receiver, not a hosted collector.

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From the community

Posts from builders shipping with Jev right now.

Follow @typesafeai

A really smart switch statement

Nathan Flurry 🔩
Nathan Flurry 🔩
Rivet
@NathanFlurry
·

hype-free explanation of jev: jev does not replace gpt / claude jev is just a *really* smart switch statement like if 2016 ml classifiers got 2026 levels of intelligence it's a new* type of tool that will make a lot of workloads insanely fast, cheap, and accurate * = and by Show more

Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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The case against Jev-scored compaction

Theo - t3.gg
Theo - t3.gg
@theo
·

This is a terrible compaction strategy that fundamentally doesn't understand how compaction and context management work. Seems like a lot of people are confused so let's break this down. 1. Compaction isn't a filter The role of compaction is to clean up history to keep the Show more

tamara
tamara
@tamarajtran

found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant

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