- 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
- Add RAG capabilities using LlamaIndex and ChromaDB
- Implement RAGManager for PHB indexing and retrieval
- Integrate RAG pipeline into orchestrator to trigger queries based on extracted entities
- Update TUI to include a 3-column layout with a real-time Context Pane
- Define ContextUpdate data models in src/llm/models.py
- Update requirements.txt with new dependencies
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".
- Implement Silero VAD for dynamic audio chunking
- Add support for Ollama and vLLM backends
- Harden extraction prompts for strict JSON output
- Refactor TUI worker to handle proposals asynchronously
Add AGENTS.md to document the delegated agent architecture. Introduce
the Validator persona and update the Codemonkey and Orchestrator
personas to improve quality assurance and communication.
charles