feat: Add AssemblyAI transcription backend with speaker diarization

Integrated AssemblyAI as the third transcription backend alongside OpenAI
API and local-whisper, now set as the default due to superior speaker
diarization capabilities (up to 50 speakers).

New Features:
- AssemblyAI backend with automatic speaker labeling
- Backend switching UI via C-; T b (completing-read interface)
- Universal speech model supporting 99 languages
- API key management through auth-source/authinfo.gpg

Implementation:
- Created scripts/assemblyai-transcribe (upload → poll → format workflow)
- Updated transcription-config.el with multi-backend support
- Added cj/--get-assemblyai-api-key for secure credential retrieval
- Refactored process environment handling from if to pcase
- Added cj/transcription-switch-backend interactive command

Testing:
- Created test-transcription-config--transcription-script-path.el
- 5 unit tests covering all 3 backends (100% passing)
- Followed quality-engineer.org guidelines (test pure functions only)
- Investigated 18 test failures: documented cleanup in todo.org

Files Modified:
- modules/transcription-config.el - Multi-backend support and UI
- scripts/assemblyai-transcribe - NEW: AssemblyAI integration script
- tests/test-transcription-config--transcription-script-path.el - NEW
- todo.org - Added test cleanup task (Method 3, priority C)
- docs/NOTES.org - Comprehensive session notes added

Successfully tested with 33KB and 4.1MB audio files (3s and 9s processing).

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

0 files changed, 0 insertions, 0 deletions