Split the STT worker into a collector and a transcription worker
to offload heavy processing to a background thread. Add the
`--whisper-model` flag and implement LLM latency logging. Expand
the README with comprehensive CLI usage instructions.
- Add ContextPipeline for async RAG lookups
- Implement RAG result summarization via LLMProcessor
- Add CLI flag for PDF ingestion
- Strip markdown code blocks from LLM responses
- Update TUI context display to use ListItems
Implement a sliding window audio buffer and update the transcriber to
use WhisperX for transcription, alignment, and speaker identification.
Update the pipeline to handle and store speaker-attributed transcripts.
Additionally, update the LLM processor's reasoning parameter to
"enable_thinking".
charles