Clean up config and STT naming

README.md

@@ -1,6 +1,6 @@
 # lel
 
-Python X11 transcription daemon that records audio, runs Whisper, logs the transcript, and can optionally run AI post-processing before injecting text.
+Python X11 STT daemon that records audio, runs Whisper, logs the transcript, and can optionally run AI post-processing before injecting text.
 
 ## Requirements
 
@@ -35,11 +35,10 @@ Create `~/.config/lel/config.json`:
 {
   "daemon": { "hotkey": "Cmd+m" },
   "recording": { "input": "0" },
-  "transcription": { "model": "base", "device": "cpu" },
+  "stt": { "model": "base", "device": "cpu" },
   "injection": { "backend": "clipboard" },
 
   "ai_cleanup": {
-    "enabled": true,
     "model": "llama3.2:3b",
     "temperature": 0.0,
     "base_url": "http://localhost:11434",
@@ -48,14 +47,6 @@ Create `~/.config/lel/config.json`:
 }
 ```
 
-Env overrides:
-
-- `WHISPER_MODEL`, `WHISPER_DEVICE`
-- `WHISPER_FFMPEG_IN` (device index or name)
-- `LEL_HOTKEY`, `LEL_INJECTION_BACKEND`
-- `LEL_AI_CLEANUP_ENABLED`, `LEL_AI_CLEANUP_MODEL`, `LEL_AI_CLEANUP_TEMPERATURE`
-- `LEL_AI_CLEANUP_BASE_URL`, `LEL_AI_CLEANUP_API_KEY`
-
 Recording input can be a device index (preferred) or a substring of the device
 name.
 
@@ -72,7 +63,7 @@ systemctl --user enable --now lel
 ## Usage
 
 - Press the hotkey once to start recording.
-- Press it again to stop and transcribe.
+- Press it again to stop and run STT.
 - The transcript is logged to stderr.
 
 Injection backends: