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Logan CusanoandClaude Sonnet 5 5f85a878fa
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admin: STT eval harness — record human-verified transcripts, measure real WER (#163)
Backend: three new routes on the calls router, deliberately separate from
PATCH /{call_id}/transcript (a production correction with real side effects
-- re-extraction, incident unlinking, vocabulary learning). This is pure
measurement and must never share that code path.

  GET  /calls/eval-queue        -- calls with a transcript but no
                                    eval_transcript yet, paged (same bounded-
                                    window-plus-cursor shape as /search)
  PUT  /{call_id}/eval-transcript -- records eval_transcript/_by/_at only;
                                      never touches transcript/transcript_corrected
  GET  /calls/eval-stats        -- eval_count + average word error rate of
                                    the raw and corrected machine transcripts
                                    against the human-verified ones

internal/wer.py: standard word-level Levenshtein WER. Returns None (not 0.0)
when the reference is empty -- a call nobody transcribed must not score as a
perfect match.

Frontend: a new "STT Eval" tab on /admin -- one call at a time, audio player,
a textarea pre-filled with the machine transcript to correct into ground
truth, Save & next / Skip, running WER stats at the top. Built for working a
handful of calls at a time over however many sittings it takes, not a
one-shot form: the queue auto-refills from where the last save left off.

Verified: 438 pass, 0 fail (12 new backend tests). Frontend is UNVERIFIED --
this box has no Node.js/npm (confirmed absent), so neither typecheck nor the
dev server could be run. Matches existing code patterns and the CallRecord/
c2api types by manual review only.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-09-21 00:04:30 -04:00
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