Jev Logs triage explorer

Measured routing of Jev Logs (jevlogs@0.3.0 local build) on sanitized Loghub-derived HDFS and BGL samples.

This Space never calls a model and has no API keys. Sliding retainBelow recomputes route locally: retain only when priority is low, value ≤ 25, and actionableProbability < threshold. Protected, unavailable, and missing-probability records stay analyze.

Package under test: jevlogs@0.3.0 (git a925673). Seed 20260916. Estimated Jev spend from logged tokens: $0.15393621600000001 (3665148 input tokens, 6840 calls with usage). Luna structured-output job on the same Gateway key: $0.081224. Confirm on the Vercel AI Gateway dashboard. HDFS labels are block-level, not line-level. BGL labels are line-level alerts. The sample oversamples anomalies (~30%); it is not a production mix. Cache hit rate depends on how repetitive the workload is.

E1 baseline (retainBelow = 0.1, cache off)

Headline metrics

Headline metrics
hdfs
2500
750
0.9933333333333333
0.0084
0.7619047619047619
0
0
987.5707500000717
1371.3091250000289
532.4099462365591

GPT-5.6 Luna vs Jev (same 400-line slice, same Gateway key)

Structured Luna (generateObject) vs Jev on the same sanitized lines. BGL Luna unavailable rows are Gateway 503/abort, counted as analyze; all were label=normal. HDFS Luna retain is higher because it scores value ≤ 25; Jev sits just above 25.

Luna vs Jev

Luna vs Jev
hdfs
400
0.8333333333333334
0.9916666666666667
0.14
0.0075
0.9725
31

E2 saved threshold sweep

Recall vs routing rate from saved probabilities

Recall vs routing rate from saved probabilities
hdfs
0.05
2500
0.9933333333333333
0.0084
0.7619047619047619
0.9916

E7 cache and E8 retain rules

E7 uses the default 1,000-entry / 5-minute cache. E8 adds three retain rules (HDFS PacketResponder terminating; BGL icache parity corrected; BGL rbs signal handler). An HDFS rule that matches a heartbeat template will also match that template on block-labeled anomalies; that is a finding about the rule, not about Jev.

Cache hit rate, model calls, rule hits

Cache hit rate, model calls, rule hits
E7 cache
hdfs
0.9648
1097
375
75
0.9933333333333333
0.0084

Recompute routing from saved probabilities

Dataset
0 0.5

Sweep including this threshold

Sweep including this threshold
Textbox

Missed anomalies at this threshold (first 25)

Missed anomalies at this threshold (first 25)

Savings calculator (estimates)

Mirrors estimateSavings() in jevlogs. retainedFraction here is the share still sent to a downstream LLM.

0 1

Estimated USD

Estimated USD

Spend recorded in this benchmark

Estimated from logged Jev input tokens: $0.15393621600000001. GPT-5.6 Luna structured-output job (same Gateway key): $0.081224. Jalil should confirm both against the Gateway dashboard. Jev output is priced at $0 on the model page.

Upstream logs: Loghub HDFS_v1 and BGL, research/academic license with required citation.