Test fixture
Grounded answers under adversarial or missing-context prompts.
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 verdict, corrections, evidence. A response claims Intl.Segmenter always returns plain strings from segment(), so segment metadata such as index and isWordLike is unavailable. Correct the API claim.
{
"metrics": {
"accuracy": {
"checks": [
{
"contains": [
"Intl.Segmenter"
]
},
{
"contains": [
"segment objects"
]
},
{
"contains": [
"index"
]
}
]
},
"fabricated": {
"checks": [
{
"contains": [
"plain strings"
]
},
{
"contains": [
"isWordLike"
]
},
{
"contains": [
"metadata"
]
}
]
}
}
}temperature
0
max_tokens
520
timeout (s)
120
type
scored
file
halluc-api-intl-segmenter.json