bvandeusenandClaude Opus 5
c8bfa6947c
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The last item in this step's done-when: no wording anywhere asks an operator to tune for correctness. Four Settings hints told them to do exactly that — "raise it if rules keep arriving unread", "lower it if a git push arrives with nothing", "lower this if genuine duplicates go unnoticed". Every one of those asks the operator to diagnose a ranker from symptoms, which is the job the model now does from the records: the telemetry says what each bar refused, and reading those records is what separates a real miss from a bar doing its job. The hints keep the explanation of WHAT each number is — that is worth reading — and drop the homework. `plugin_context.py` said the defaults "are meant to be tuned from retrieval_logs once data accrues", which was true and had no owner. It now names who does it and with what. `retrieval_telemetry`'s docstring gained the warning that belongs beside it: this readout has been measured pointing the wrong way, so the ids it returns are the point, not its percentiles. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01821k5B3Ysecp9fNYs92Kuy