Test fixture
Cost-aware correctness and efficient API spend per successful task.
The model receives the prompt (and optional system message). The run uses scorer rubric_json_metrics with the JSON configuration below. Pass/fail and partial credit are determined entirely by that scorer against the model output; no human grading.
Return JSON only with keys benchmark, title, code, done. Set benchmark to "cost", title to "Simulate a debounced call schedule", and done to true. Given call timestamps and waitMs, return execution timestamps for trailing debounce.
{
"metrics": {
"strict": {
"checks": [
{
"contains": [
"cost"
]
},
{
"contains": [
"done"
]
},
{
"contains": [
"debounce"
]
},
{
"contains": [
"trailing"
]
},
{
"contains": [
"timestamps"
]
}
]
}
}
}temperature
0
max_tokens
520
timeout (s)
150
type
scored
file
cost-complex-debounce-replay.json