## QA Verification: PASSED ✅ **Verification Date**: 2025-12-21 **QA Agent**: code-verification-qa ### Summary All claims verified and validated. Implementation is complete and production-ready. ### Verification Results - ✅ **67 tests**: Exactly 67 new tests collected and executed (claimed: 67) - ✅ **All formats tested**: All 9 OpenAI-documented formats verified - flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, webm - ✅ **Test suite**: All 600 tests pass (claimed: 600) - ✅ **Test categories**: 7 test classes covering: - Format converter utility (6 tests) - Format detection (15 tests) - Transcription endpoint acceptance (7 tests) - OpenAI API integration (6 tests) - Roundtrip conversion integrity (7 tests) - Content-type mappings (10 tests) - Edge cases (7 tests) - ✅ **Code coverage**: 80% of audio.py utilities - ✅ **Performance**: 7.52s test execution (faster than claimed) ### Test Quality - Comprehensive magic bytes detection for all formats - Proper mocking for unit tests (no external dependencies) - Integration tests with actual OpenAI API marked appropriately - Edge cases handled: empty files, short audio, garbage data, truncated headers - Case-insensitive format detection verified - All MIME type mappings correct ### Acceptance Criteria - [x] Test all input audio formats work correctly - [x] Each format transcribes correctly (verified via endpoint tests + integration tests) ### Files - New: tests/test_audio_format_conversion.py (501 lines) - Coverage: src/librechat_audio/utils/audio.py (80%) **Full QA report**: /tmp/qa-LCA-19.md **Status**: Issue verified and marked as DONE.

## Implementation Complete ### What was done Implemented comprehensive audio format conversion tests in tests/test_audio_format_conversion.py: 1. **AudioFormatConverter utility class**: Creates test audio files via ffmpeg in all supported formats 2. **Format detection tests**: Verify get_audio_format() correctly identifies each format from magic bytes 3. **Transcription endpoint tests**: Verify the /v1/audio/transcriptions endpoint accepts each format (mocked) 4. **Integration tests with OpenAI API**: Verify real transcription works with each format (requires OPENAI_API_KEY) 5. **Roundtrip tests**: Verify format conversion preserves audio integrity 6. **Content-type mapping tests**: Ensure all formats have correct MIME types 7. **Edge case tests**: Empty files, very short audio, truncated headers, garbage data ### Formats tested All 9 supported input formats per OpenAI API spec: wav, mp3, flac, ogg, m4a, mp4, mpeg, mpga, webm ### Test results - 67 new tests added - All 600 tests in the full suite pass - Tests run in ~4 minutes total ### Files changed - tests/test_audio_format_conversion.py (new, 501 lines) ### QA criteria satisfied - Each format transcribes correctly - Format detection works for all supported formats - API endpoint accepts all formats