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Test fixture

Summary

Speedv1 — Nutritionmediumscorer: contains_all

Throughput and TTFT-focused generation tasks.

How it is scored

The model receives the prompt (and optional system message). The run uses scorer contains_all with the JSON configuration below. Pass/fail and partial credit are determined entirely by that scorer against the model output; no human grading.

User prompt
Summarize in exactly 3 short bullet points: Mobile app stability increased with crash analytics, staged rollouts, and feature flags for risky changes. Teams tracked crash-free sessions per version.
Scorer config
{
  "expected_contains": [
    "crash analytics",
    "staged",
    "feature flags"
  ]
}
Run parameters

temperature

0

max_tokens

120

timeout (s)

120

type

scored

file

speed_medium_19.json

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