eval-harness

arm

triage_hosted_gpt_oss_120b_v1

One config on orrery_triage_v1_labelled, scored one way; its repeats averaged per item.

dataset
orrery_triage_v1_labelled
scored against
gold/orrery_triage_v1_labelled gold
goal
Triage decisions on Orrery's error signals
runs
1
headline
false_dismiss 0.147
last run
2026-10-30 14:51
re-scored
the goals read its re-score, runs-rescored/5f2c057cdaa5/runs/orrery_triage_v1_labelled/triage_hosted_gpt_oss_120b_v1

Inspect itAgainst the baselineWith the 19 arms scored the same way

01metrics

metricmeanitemsbetter
false_dismiss0.14734lower
correct0.63165higher
cost_usd$0.00084965lower
escalated0.33865lower
false_alarm0.61331lower
latency_ms17021.165lower
model_correct0.50865higher
model_escalated0.01565lower
model_false_alarm0.38731lower
model_false_dismiss0.55934lower
n_probes1.33865higher
table_miss0.00065lower
tokens_in3253.265lower
tokens_out601.365lower

02cost and speed

cost per item
$0.000849 · 3,854 tok
speed per item
p50 16,361 · p95 31,807 ms

Per item, over its items: cost as dollars and tokens (a local model is free but still uses tokens), speed as the median and the slow tail (p95). A goal that names this arm weighs them in its decision.

03runs

runmadeitemscosthow
triage_hosted_gpt_oss_120b_v1_20261030T143242Z2026-10-30 14:5165$0.055168measured

04config

config triage_hosted_gpt_oss_120b_v1 · adapter examples/triage-fleet/adapter.py · credentials are never shown

model
eval-gpt-oss-120b
provider
gateway
usd_per_mtok_in
0.15
usd_per_mtok_out
0.6

05conditions

data.items_sha256
d428aca49adc8e762dcbbcad6c9a1dba1ac4e4e3315ff26025af975faba1176a
deployment.model
eval-gpt-oss-120b
deployment.source
adapter
fingerprint.version
5
harness.code_sha256
0ab386969208f46c7448153422d5a5ab07833d963869b69fc216a6cd28feb110
harness.version
0.5.0
library.anthropic
2.3.0
library.numpy
2.5.4
library.openai
3.41.0
library.rouge-score
0.1.2
machine.cpu_count
32
machine.platform
Linux/x86_64
machine.python
3.14.7
machine.release
7.2.5-3-omarchy
reference.sha256
f617ad3bb9bb9f5feb8ffe54e0ef1b9b05dfb316fac13f63a925f9d35fb191cd
scorer.id
examples/triage-fleet/adapter.py
scorer.sha256
9e899d6853cb4065ab07f1d44c08120d0a19ad282abdfdc0e95a3e63262cca81

06the same config, scored other ways

scored against silverscored by a judgewrote the reference it is scored againstscored against a label set, not a reference setunmarked rows are scored against gold

07rounds