Merge feat/vocabulary-hint: names-and-terms decoder prompt (spec 001 workstream 2)

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

# Conflicts:
#	docs/Architecture.md
#	docs/Decisions.md
#	docs/WorkBreakdown.md
#	server-py/sidecar.py
#	src/App.tsx
#	src/server/live.ts
#	src/server/transcribe.ts
#	tests/fixtures/fake_sidecar.py
#	tests/transcribe.test.ts

docs/Architecture.md

@@ -67,7 +67,7 @@ src/
   index.html               # HTML entry, imports frontend.tsx
   frontend.tsx             # React root
   App.tsx                  # top-level UI composition
-  components/              # ModelPicker, TranscriptionOptions, FileDropzone, LiveControls, TranscriptView, EngineToggle, AuthForms
+  components/              # ModelPicker, TranscriptionOptions, VocabularyHint, FileDropzone, LiveControls, TranscriptView, EngineToggle, AuthForms
   lib/
     audio.ts               # decode + resample to 16 kHz mono Float32Array (Web Audio API)
     live.ts                # live-mode segment loop: RMS gate, LiveSegmenter, LiveTranscriber (pure, D-016)
@@ -76,9 +76,11 @@ src/
     modelCache.ts          # "downloaded?" per model via Cache Storage (D-005; reused by M3 offline indicator)
     engine.ts              # engine abstraction: BrowserEngine | ServerEngine
     translation.ts         # transcript translation planning: Opus-MT catalog, units, sentence pieces (pure, D-WS4b)
+    hint.ts                # "Names and terms" hint: normalize, localStorage, prompt truncation rule (D-WS2a)
   worker/
     inference.worker.ts    # Transformers.js pipeline, WebNN/WebGPU/WASM selection
     protocol.ts            # typed postMessage messages (shared with UI)
+    prompt.ts              # decoder prompt (<|startofprev|> hint) via a generate() wrapper (D-WS2a)
     translate.worker.ts    # transcript translation (Opus-MT), its own worker + ort instance (D-WS4b)
     translateProtocol.ts   # typed messages for the translate worker
     opusMt.ts              # Opus-MT loader shared by the worker, bench script and real-model test
@@ -150,8 +152,15 @@ environment). See `WorkBreakdown.md` for the itemized checklist.)
    transfers the `Float32Array` to the worker. For multilingual models the
    `transcribe` message also carries `language` (or auto-detect) and `task`
    (transcribe | translate — translate only for models with `canTranslate`, D-WS4a).
+   For every model it may carry `prompt`: the optional "Names and terms" hint
+   (`VocabularyHint`, stored in localStorage by `lib/hint.ts`), raw as typed (D-WS2a).
 5. Worker runs the pipeline (chunked, with timestamps), streaming partial results
    back via `{type:"partial"}` messages; final result as `{type:"result"}`.
+   A hint becomes `<|startofprev|> hint.` once per pass (`worker/prompt.ts`,
+   cut to a 120-token prompt budget at a whole word) and is prepended
+   to the decoder input of every 30 s window by a wrapper around the model's
+   `generate()`, which also strips it from the output again (D-WS2a).
+   Live passes (4.1b) carry the same `prompt`.
 
 ### 4.1b Live microphone transcription (anonymous, browser engine — D-016)
 1. `LiveControls` starts a session: `getUserMedia` → `AudioContext` at the
@@ -230,7 +239,11 @@ environment). See `WorkBreakdown.md` for the itemized checklist.)
    (`server-py/`) that Bun spawns and supervises (D-013; faster-whisper has no
    browser/WASM build, so it is server-only — the browser stays on Transformers.js).
    `src/server/transcribe.ts` bridges the sidecar's segment stream to the streamed
-   JSON-lines HTTP response (D-011). File requests (`mode: "file"`) decode with
+   JSON-lines HTTP response (D-011). `language`, `task` and the vocabulary hint
+   (`prompt`) travel as query params (also on the live WebSocket) and are
+   validated by `parseLanguageAndTask` (D-032, D-WS2a); the sidecar cuts the
+   hint with the same rule as the browser and passes it to faster-whisper as
+   `initial_prompt` (D-WS2a). File requests (`mode: "file"`) decode with
    faster-whisper's batched pipeline over Silero-VAD speech chunks; server-live
    passes send `mode: "live"` and stay sequential (D-WS5a). The shared catalog maps model ids to
    `Systran/faster-whisper-*` CTranslate2 conversions. If the sidecar is absent,