Start capturing and transcribing system audio in real-time using OpenAI Whisper. Audio is captured in chunks and transcribed continuously. IMPORTANT: After starting, periodically check get_status (every 30-60 seconds) to monitor for issues. SAFETY FEATURES: The system will auto-pause in two scenarios: 1) After 32 seconds of silence, 2) After 30 minutes of NO user interaction (prevents forgotten recordings). User interaction = calling get_status, pause_transcription, resume_transcription, get_transcript, or clear_transcript. When paused, you'll see isPaused: true in status. User must explicitly call resume_transcription to continue.

Pause the current transcription session. Audio capture continues but transcription is paused. Use resume_transcription to continue.

Resume transcription after it has been paused (either manually or due to silence detection).

Stop the current transcription session completely and return statistics. This ends the session and stops audio capture.

Get the current status of the transcription session including whether it's running, number of chunks processed, errors, and session duration. CRITICAL: AI assistants should check this regularly (every 30-60 seconds) during active transcription to: 1) Catch audio routing issues or silence detection, 2) Monitor session duration and alert user if running 30+ minutes (prevents forgotten recordings and excessive API costs), 3) Detect paused states and warnings. The status.warning field will contain important alerts that should be shown to the user immediately.

Retrieve the current transcript content. Optionally get only the last N lines.

Clear the transcript file and reinitialize it with a fresh header.

Delete the transcript file completely. Use this to remove the transcript file when you're done.