jevbooks

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jevlogs

reachjalil/jevlogs

Score OpenTelemetry logs before expensive LLM analysis.

Automated README summary

Automatically summarized from the README on 4 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Jev Logs is a local OpenTelemetry log receiver for developers and platform teams. It scores each log record for diagnostic value, priority, and actionable probability before sending anything to a reasoning model, keeping your existing archive pipeline intact.

How it uses Jev

Jev scores each log record's diagnostic value, priority, and actionable probability from the redacted body, severity, and service.name. The decision (route, retain, reason) is printed as JSON per record, attached as jev.* attributes, and used to decide whether a record skips or continues to deeper LLM analysis.

Primitives:scorechoice

Technique worth stealing

Annotate every record with jev.* attributes and route only confidently low-value events away from expensive analysis.

Try it

npx jevlogs@latest --live

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.91
  • Shows a System One patternnot found in the excerpt0.19
  • Describes handling uncertaintynot found in the excerpt0.08
  • Reports measured numbersnot found in the excerpt0.06
  • Is a runnable toolFound in material0.94
  • Top-10 learning shortlist signalnot found in the excerpt0.38
  • Is a replica of the modelnot found in the excerpt0.04
  • Solves a common problem (0–2)score on a 0–2 scale1.48 / 2
  • About JevFound in material0.97
Signals
Jev is core to the project0.91Shows a System One pattern0.19Describes handling uncertainty0.08Reports measured numbers0.06Is a runnable tool0.94Top-10 learning shortlist signal0.38Is a replica of the model0.0400.51Solves a common problem (0–2)1.48 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.97Fail open, fail closed0.91Viewfinder0.43Traffic light0.29Thermostat0.2600.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 4 Oct 2026.