mirror of
https://github.com/wshobson/agents
synced 2026-06-21 14:13:58 +00:00
50a9730f05
P1: Normalize Monte Carlo nested dict sub_scores to flat dimension→float before blending. Prevents TypeError when deep/thorough runs include MC. P2: Plugin-level eval always shows "Estimated" confidence since only Layer 1 runs (judge/MC are per-skill only). Prevents misleading "Certified" label on plugin-level certify runs.