Reviewer feedback: remove AudioContext destination echo, escape model names, add RMS gate to skip silence, close mkstemp fd, clean up mic on WS close. Tests updated for the RMS gate.
Full HTML dashboard (dark theme, vanilla JS, no external deps) served at / and /dashboard with five tabs: system status (admin), file upload-to-transcribe with progress/result/downloads, job history with cancel/result modal, realtime mic demo over the existing WebSocket, and API key create/list.
Backend: POST/GET /v1/keys (admin; raw key returned once, digest-only storage); KeyStore.list_keys(); EngineOwner.emit_hypothesis is now a real implementation (PCM16 chunk -> WAV -> realtime-lane decode with the single GPU lock) instead of a stub.
Notebook: tunnel cell links /dashboard and smoke-checks the HTML.
+ 6 tests (dashboard public HTML, key create/list/scope, WAV header, emit_hypothesis cleanup). 153 tests pass, ruff clean, JS syntax verified with node --check.
The bench and CLI kept emitting BLM for vLLM. Three layers:
1. rules.py: add default rule BLM -> vLLM (word-boundary, case-insensitive) so the default post_mode=rules path restores it everywhere.
2. benchmark/runner.py: the bench never ran postprocessing - it measured raw engine text, so entity retention (66.7%) never reflected rules/glossary. _transcribe_clip now builds Segments and runs run_postprocess(settings, glossary) before metrics; manifest top-level glossary {pattern: replacement} is supported and recorded in run_config (post_mode/glossary).
3. glossary plumbing: CLI transcribe gains --glossary KEY=VALUE (repeatable, parsed + validated); BatchPipeline.run accepts glossary= and passes it to run_postprocess; the in-proc worker forwards job.options.glossary or post_correction.
Notebook: transcribe cells pass --glossary BLM=vLLM, bench manifest carries glossary, postprocess section documents rules/glossary/hotword.
+ 9 unit tests (BLM rule, boundary/case behavior, bench postprocess + glossary entity retention). 147 tests pass, ruff clean.
Colab run 4 (A100): same namedtuple bug as segments — faster-whisper
returns TranscriptionInfo (namedtuple) but batch.py reads
outcome['info'].get('language') -> AttributeError 'TranscriptionInfo'
object has no attribute 'get' on every real transcription, failing the
CLI, API auto-worker job, worker drain, and bench clip alike.
FasterWhisperEngine now normalizes info to a dict at the boundary
(_to_dict_info: _asdict -> dataclasses.asdict -> known-field fallback).
+ 2 unit tests (namedtuple/dict info); 138 tests pass, ruff clean.
Colab run 3 (A100) surfaced three GPU/API-path bugs mocks couldn't catch:
1. faster-whisper yields namedtuple Segments, but batch/bench consume
them as dicts (.get) -> AttributeError 'Segment' has no attribute
'get' on every real transcription. Engine now normalizes segments
to dicts (_to_dict_segments) at the boundary.
2. API TranscribeOptions carries engine-irrelevant keys (formats,
timestamps, glossary_id, post_correction, diarize); worker's
TranscriptionOptions(**job.options) crashed with TypeError. Worker
now filters job.options to TranscriptionOptions.__slots__.
3. in-proc server never consumed its own queue (jobs stayed queued
forever). Added opt-in Settings.auto_worker (default off): lifespan
starts a daemon Worker thread for inproc backend, stopped on
shutdown. Notebook enables it via LUKESCRIBE_AUTO_WORKER=true so the
API upload -> completed flow works end to end.
Notebook: bench manifest now uses clips schema (audio_path/duration_sec/
entities); cell 22 reads error_message/error_code; upload poll window
raised to 4min (first-run model download).
+ 5 tests (namedtuple/dict segments, API-style options, auto_worker
on/off); 136 tests pass, ruff clean.
Colab A100 run exposed a GPU-only bug: DeviceManager returns
selected_device='cuda:0' and the engine passed it verbatim to
faster-whisper, but CTranslate2 only accepts device='cuda' with a
separate device_index arg -> 'unsupported device cuda:0' on every GPU
transcription. Fix: FasterWhisperEngine._split_device() splits
'cuda:N' -> ('cuda', N) and passes device_index to WhisperModel.
Notebook: server cell now pkills stale servers (old process holds
port 8000 and 401s on new keys since KeyStore loads at startup),
sets LUKESCRIBE_API_KEY_FILE explicitly, and verifies auth with
RAW_KEY before proceeding; worker cell guards read_result() is None.
+ 4 unit tests (device split contract), 131 tests pass, ruff clean.
lukehemmin