Agent confidence should measure the whole chain, not just the last step
alizahidrajaa · reddit · 2026-09-01
The author argues that current agent confidence scores are flawed because they only reflect the final model's certainty, ignoring upstream errors like data corruption. The proposed solution is "chain-level grading," where every agent and tool carries its own reliability track record, and the final claim inherits the worst score in the path. The author has open-sourced this as LangChain middleware and invites discussion on better approaches.
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