## QA Report - VERIFIED ✅ The LocalSTTClient implementation has been thoroughly verified and meets all requirements. Full report at /tmp/qa-LCA-4.md **Test Results:** 70 passed, 5 skipped ✅ **Code Quality:** Excellent - secure, well-documented, comprehensive error handling ✅ **Recommendation:** APPROVE FOR MERGE

## Implementation Complete Created `models/stt.py` wrapping parakeet-mlx for local speech-to-text transcription. ### Changes Made **New Files:** - `src/librechat_audio/models/__init__.py` - Module exports - `src/librechat_audio/models/stt.py` - LocalSTTClient implementation - `tests/test_local_stt.py` - Comprehensive test suite **Modified Files:** - `pyproject.toml` - Added `[local]` optional dependency for parakeet-mlx - `Makefile` - Added `install-local` and `test-local` targets - `src/librechat_audio/__init__.py` - Export LocalSTTClient - `tests/conftest.py` - Added `local` marker ### Features - `LocalSTTClient` class with lazy model loading - Support for multiple Parakeet models (TDT, CTC variants) - `transcribe()` method for text output - `transcribe_with_timestamps()` for word-level alignment - Accepts both file paths and bytes input - Configurable dtype (bfloat16, float16, float32) ### Usage Example \`\`\`python from librechat_audio.models import LocalSTTClient client = LocalSTTClient() # Uses default senstella/parakeet-tdt-0.6b-v2-mlx text = client.transcribe("audio.wav") \`\`\` ### Test Results - 70 tests passed, 5 skipped - Skips are due to numpy/numba version incompatibility in the test environment (unrelated to the implementation) - All unit tests for client initialization, configuration, and error handling pass