autoresearch.yaml

composite_weights:
  pass_rate: 0.5
  avg_keyword_hit: 0.3
  avg_confidence: 0.2

# When true, autoresearch weights each golden-eval case by how much real
# drafts for that case's sender_type cohort get edited (from the draft_events
# log), so the optimizer prioritizes configs that help where drafting actually
# struggles. Default false → all cases weighted equally (unchanged behavior).
# Needs accumulated draft_events with edit-distance outcomes to have any effect.
draft_quality_weighting: false