The Azure TTS handler (_tts_azure) interpolated the user-supplied voice,
and the locale derived from it, into the SSML xml:lang and <voice name>
attributes without XML-escaping, while the text body was already escaped
(2e75c6dbd). Escape both attributes too, so every user-derived value in
the SSML document is consistently encoded.
Co-authored-by: alanturing881 <alanturing881@users.noreply.github.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
pydub imports the stdlib `audioop`, removed in Python 3.13, so audio
preprocessing would break there. requires-python is already capped at
< 3.13; this one-line pointer flags what to handle (audioop-lts, or drop
pydub) before raising that cap.
The transcription endpoint was async but called the synchronous transcribe() function directly, blocking the single-threaded uvicorn event loop for the entire duration of inference. This caused all HTTP and WebSocket connections to stall for every user on the instance during STT processing.
- Add asyncio import
- Use async UploadFile.read() instead of synchronous file.file.read()
- Offload the blocking transcribe() call via asyncio.to_thread()
Closes#24169
The locale for Azure TTS SSML was being extracted with `split("-")[:1]`,
which only takes the first segment (e.g., "en" from "en-US"). The
xml:lang attribute in SSML requires a full locale like "en-US", not just
a language code. This caused Azure TTS to either fail or use incorrect
pronunciation rules.
Changed `[:1]` to `[:2]` to properly extract the locale (e.g., "en-US").
Co-authored-by: gambletan <ethanchang32@gmail.com>
- Use os.path.basename() for filename sanitization instead of fragile blocklist
- Replace ERROR_MESSAGES.DEFAULT(e) with generic error message in both except blocks to prevent CWE-209 information disclosure
- Server-side logging via log.exception(e) is preserved for debugging