Bench / Methodology / run f6d12eae-f247-4d4a-bede-fead9cbdf344
Tone-matched support reply
deepseek/deepseek-chat-v3.1 · task v1 · methodology v1 · visitor-key / video-demo
LLM judge
As of .
Candidate cost: 0.000165
Judge cost: not recorded
No grand total on this receipt.
Cost source: openrouter_usage
Tokens in / out: 51 / 83
Latency: 243 ms (wall clock)
Stored at:
Comparison: c84cb8c1-af67-4ac2-8460-3723111f6859
Judge cost not recorded for these runs
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: flawless
Spot check: Human spot check
Spot-check note: cos-ops spot check: stored evaluation status=scored passed=true score=5; output present and format-compliant for featured publish.
Output
Of course. Here is a draft reply: **Subject: A replacement for your mug is on the way** Hi there, Thanks for reaching out. I'm so sorry to hear the mug arrived damaged—that's so disappointing. We're sending a replacement out to you right away and will email you the tracking details shortly. We hope you'll love it! Best, [Your Name] Customer Care Team
Evaluation stored on this run
{
"tier": 2,
"notes": "The reply is warm, brief, and direct, accurately offers a replacement, adheres to policy by not promising a refund, and clearly communicates the next steps.",
"score": 5,
"tier3": {
"at": "2026-10-01T13:57:27.266Z",
"note": "cos-ops spot check: stored evaluation status=scored passed=true score=5; output present and format-compliant for featured publish.",
"passed": true,
"reviewer": "cos-ops"
},
"passed": true,
"status": "scored",
"dimensions": {
"accuracy": 5,
"tone_match": 5,
"completeness": 5,
"policy_safety": 5
},
"tier3_kind": "human",
"tier_label": "LLM judge",
"tier3_label": "Human spot check",
"presentation": "flawless",
"score_capped": false,
"judge_model_id": "google/gemini-2.5-flash-lite",
"display_overall": 5,
"output_incomplete": false,
"completeness_reason": null,
"rubric_prompt_version": "rubric-v1",
"completeness_confidence": "high"
}