Bench / Methodology / run 58ade0b2-e37c-4ba9-be99-358d85ce785b
Meeting action items
deepseek/deepseek-chat-v3.1 · task v1 · methodology v1 · visitor-key / video-demo
Deterministic check
As of .
Candidate cost: 0.00008417
Judge cost: not recorded
No grand total on this receipt.
Cost source: openrouter_usage
Tokens in / out: 65 / 72
Latency: 531 ms (wall clock)
Stored at:
Comparison: ba117668-cc71-417b-a676-1e982d874a8e
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: scored
Spot check: Human spot check
Spot-check note: cos-ops spot check: stored evaluation status=scored passed=true score=1; output present and format-compliant for featured publish.
Output
```json
[
{
"owner": "Ada",
"task": "send the revised budget by Friday"
},
{
"owner": "Ben",
"task": "book the vendor call"
},
{
"owner": "Ben",
"task": "share the recording"
}
]
```Evaluation stored on this run
{
"tier": 1,
"score": 1,
"tier3": {
"at": "2026-10-01T13:57:27.266Z",
"note": "cos-ops spot check: stored evaluation status=scored passed=true score=1; output present and format-compliant for featured publish.",
"passed": true,
"reviewer": "cos-ops"
},
"checks": [
{
"type": "json_parse",
"detail": "Output parsed as JSON.",
"passed": true
},
{
"type": "json_field_set",
"detail": "Set of owner matches the fixture.",
"passed": true
}
],
"passed": true,
"status": "scored",
"tier3_kind": "human",
"tier_label": "Deterministic check",
"tier3_label": "Human spot check",
"presentation": "scored",
"score_capped": false,
"display_overall": 1,
"output_incomplete": false,
"completeness_reason": null,
"completeness_confidence": "high"
}