Summary

The model receives the prompt (and optional system message). The run uses scorer contains_all with the JSON configuration below. Pass/fail and partial credit are determined entirely by that scorer against the model output; no human grading.

Summarize in exactly 3 short bullet points: Data ingestion reliability increased with schema checks, dead-letter queues, and replay tooling. Ownership was mapped for every pipeline and SLA dashboards were published.

{
  "expected_contains": [
    "schema",
    "dead-letter",
    "replay"
  ]
}