Commit Graph

4 Commits

Author SHA1 Message Date
0875fe7ac0 llm: catch all exceptions, validate response, show transcription preview (v1.9.9)
- llm.py: catch OSError/TimeoutError (socket.timeout is NOT a URLError subclass)
  and bare Exception so no path kills the background thread silently
- daemon.py: catch unexpected exceptions from llm.chat and surface them as
  overlay errors instead of silent thread death
- daemon.py: reject LLM responses that are >80 % whitespace (cold-start
  model returning spaces/blank lines gets discarded, not typed)
- daemon.py: show transcribed text in overlay immediately before thinking
  animation so user can see what was heard while LLM processes

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-09 15:02:45 +02:00
ae01472b77 overlay: fix AT-SPI caret freeze; fuse routing match + live LLM into HUD; Release 1.6.0
Fix a desktop-session freeze (forced logout/reboot) caused by the overlay's
AT-SPI caret tracker: it subscribed to the high-frequency object:text-caret-moved
signal and made synchronous, blocking AT-SPI reads from inside the event handler,
re-entering the a11y dispatcher and getting stormed by the app's own xdotool
typing until GNOME stopped responding. Now track focus changes only and read the
caret rectangle lazily, once, when the overlay shows — never on the hot path.

Fuse voice-routing feedback into the overlay instead of a desktop notification:
show the matched preset's emoji, name, and spoken keyword on a banner, narrate
the phase (Transcribing -> Rewriting), and stream the LLM rewrite into the bubble
token-by-token. Redundant per-dictation notifications are suppressed when the
overlay is present (errors still notify); headless/overlay-off is unchanged.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-07 16:58:47 +02:00
f1ee4bd4c5 Move Whisper device/compute into Engines→STT; add LLM Type (local/cloud)
- Local-Whisper Device + Compute type now live under the STT engine section
  ("Local engine — device & precision"), removed from the General tab. The
  local engine's Model field shows the effective whisper size.
- LLM engines gain a Type field (local | cloud), mirroring STT, stored in config.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-05 09:48:26 +02:00
3026f1ff90 Add STT + LLM engine presets, rename entry to blitztext.py, macOS app icon
- stt.py: local + remote (OpenAI-compatible) transcription, TCP reachability
  status, benchmark. Tested live against faster-whisper-server :8010.
- llm.py: LLM engine presets (url/model/key/temperature) + chat + status.
  Tested live against local Qwen :19001 and llama-swap :28080.
- config: [stt]/[[stt_engine]] and [llm]/[[llm_engine]] presets with active
  selectors; defaults synthesized from legacy [whisper]/[rewrite].
- daemon: transcribe via active STT engine, rewrite via active LLM engine;
  load local Whisper only when the active STT engine is local.
- Rename package entry __main__.py -> blitztext.py (thin __main__ shim keeps
  `python -m blitztext` working). Remove rewrite.py (folded into llm.py).
- App icon extracted from the macOS AppIcon.icns; installed at several hicolor
  sizes by the .deb and used as the window icon. Drop placeholder SVG.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-04 20:21:03 +02:00