Add LLM backend support and improve debugging observability

- Add LLM_BACKEND to environment configuration
- Implement detailed debug logging for LLM request/response cycles
- Add missing llama-index dependencies for embeddings and chroma
- Update prompt constraints to prevent lore redundancy
- Enable CUDA for transcription and set logging to DEBUG level
- Add entry point for running the orchestrator directly
- Cleanup unused comment in TUI context updates

src/pipeline/orchestrator.py

@@ -23,7 +23,7 @@ from src.ui.tui import ConfirmationApp
 
 # Configure logging to write to a file instead of stdout
 logging.basicConfig(
-    level=logging.INFO,
+    level=logging.DEBUG,
     format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
     handlers=[
         logging.FileHandler("pipeline.log"),
@@ -44,7 +44,7 @@ class PipelineOrchestrator:
 
         # Modules
         self.listener = AudioListener(loop=self.loop)
-        self.transcriber = Transcriber(model_size="base")
+        self.transcriber = Transcriber(model_size="base", device="cuda")
         self.processor = LLMProcessor()
         self.rag_manager = RAGManager()
 
@@ -328,3 +328,16 @@ class PipelineOrchestrator:
         Stops.
         """
         self.is_running = False
+
+if __name__ == "__main__":
+    import asyncio
+
+    async def main():
+        loop = asyncio.get_event_loop()
+        orchestrator = PipelineOrchestrator(loop)
+        try:
+            await orchestrator.run()
+        except KeyboardInterrupt:
+            orchestrator.stop()
+
+    asyncio.run(main())