Bench / Methodology / run 1f9abacf-8c78-45c9-b4e8-c5ce51d87243
Ambiguous ticket reply
google/gemini-3.1-flash-lite · task v1 · methodology v1 · visitor-key / video-demo
LLM judge
As of .
Candidate cost: 0.00017125
Judge cost: 0.0000666
Total (candidate + judge): 0.00023785
Cost source: openrouter_usage
Tokens in / out: 61 / 104
Latency: 846 ms (wall clock)
Stored at:
Comparison: 5f523c95-41ba-4957-bef4-4d87199e25ed
Amounts are the exact stored decimal strings. No rounding is applied. candidate_cost_usd is the sum of measured run costs. judge_cost_usd is the sum of stored tier-2 judge ledger rows, or null when none were recorded. total_cost_usd equals candidate plus judge only when every candidate cost is present and a judge cost was recorded.
Derived integrity
These fields are computed from the stored output and evaluation. The output text below is unchanged.
output_incomplete: false
completeness_confidence: high
completeness_reason: —
presentation: mixed
Spot check: Human spot check
Spot-check note: Pass: asks clarifying questions (product/order/date) without inventing a diagnosis; tone dim 3 is fair for formality. Excerpt: "Subject: Regarding your recent message Hello, I am sorry to hear that you are experiencing an issue.…"
Output
Subject: Regarding your recent message Hello, I am sorry to hear that you are experiencing an issue. To ensure I can look into this for you, could you please provide a few more details? Specifically, could you please let me know: * The name of the product you are referring to * Your order number * The date the order was placed Once I have this information, I will be able to investigate the situation further. Best regards, [Your Name]
Evaluation stored on this run
{
"tier": 2,
"notes": "The candidate asks for all necessary information without inventing details or making promises, but the tone is slightly more verbose than ideal.",
"score": 4,
"tier3": {
"at": "2026-10-02T00:49:53.256Z",
"date": "2026-10-02",
"note": "Pass: asks clarifying questions (product/order/date) without inventing a diagnosis; tone dim 3 is fair for formality. Excerpt: \"Subject: Regarding your recent message Hello, I am sorry to hear that you are experiencing an issue.…\"",
"passed": true,
"verdict": "agree",
"reviewer": "cos",
"issue_found": false,
"output_read": true
},
"passed": true,
"status": "scored",
"dimensions": {
"tone": 3,
"scope": 5,
"questions": 5,
"restraint": 5
},
"tier3_kind": "human",
"tier_label": "LLM judge",
"tier3_label": "Human spot check",
"presentation": "mixed",
"score_capped": false,
"judge_model_id": "google/gemini-2.5-flash-lite",
"display_overall": 4,
"output_incomplete": false,
"completeness_reason": null,
"rubric_prompt_version": "rubric-v1",
"completeness_confidence": "high"
}