Bench / Methodology / run 532ae9ba-06c7-4814-8940-5251ec321c47
Tone-matched support reply
deepseek/deepseek-chat-v3.1 · task v1 · methodology v1 · visitor-key / video-demo
LLM judge
As of .
Candidate cost: 0.00008731
Judge cost: 0.0000589
Total (candidate + judge): 0.00014621
Cost source: openrouter_usage
Tokens in / out: 50 / 79
Latency: 209 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: flawless
Spot check: Human spot check
Spot-check note: Pass: apologizes for cracked mug and offers replacement shipment; stays on replacement path. Excerpt: "Of course. Here is a draft reply: *** Hi [Customer Name], Thanks for reaching out. I'm so sorry to h…"
Output
Of course. Here is a draft reply: *** Hi [Customer Name], Thanks for reaching out. I'm so sorry to hear the mug arrived damaged—that's so disappointing. We'd be happy to send a replacement out to you right away. Please reply with your shipping address so we can get a new one headed your way. Thanks, [Your Name/Team Name]
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 outlines the next steps for the customer.",
"score": 5,
"tier3": {
"at": "2026-10-02T00:49:53.256Z",
"date": "2026-10-02",
"note": "Pass: apologizes for cracked mug and offers replacement shipment; stays on replacement path. Excerpt: \"Of course. Here is a draft reply: *** Hi [Customer Name], Thanks for reaching out. I'm so sorry to h…\"",
"passed": true,
"verdict": "agree",
"reviewer": "cos",
"issue_found": false,
"output_read": true
},
"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"
}