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Test fixture

Summary Training

Speedeasyscorer: contains_any

Latency-sensitive tasks where concise correct output matters.

How it is scored

The model receives the prompt (and optional system message). The run uses scorer contains_any 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 2 short bullet points:
Regular training and pair programming help teams share knowledge and reduce key-person risk.
Scorer config
{
  "expected_contains": [
    "training",
    "pair programming",
    "knowledge"
  ]
}
Run parameters

temperature

0

max_tokens

80

timeout (s)

120

type

scored

file

speed_easy_17.json

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