Add LLM input logging and UI log pane

- Add log_queue to PipelineOrchestrator and log LLM inputs to UI
- Use entity_name for lore update logs instead of topic
- Pass log_queue into ConfirmationApp to display logs in UI
- Introduce a log pane and left/right pane layout in the UI
- Poll and render log messages via a new poll_log_updates worker
- Run log polling with Textual workers to avoid GC issues
- Fix ListView insertion by wrapping ListItem in a list
- Relax RAG similarity threshold from 0.7 to 0.5

src/pipeline/orchestrator.py

@@ -53,6 +53,7 @@ class PipelineOrchestrator:
         self.ui_to_llm_queue = asyncio.Queue()
         self.clean_to_llm_queue = asyncio.Queue()
         self.llm_to_ui_queue = asyncio.Queue()
+        self.log_queue = asyncio.Queue()
 
         self.is_running = False
 
@@ -202,6 +203,9 @@ class PipelineOrchestrator:
                 # RAG Retrieval for context
                 context = await asyncio.to_thread(self.rag_manager.retrieve, text)
 
+                # Log the text sent to the LLM for UI affordance
+                await self.log_queue.put(f"[{speaker}] {text}")
+
                 # Structured extraction using the processor
                 extraction_result = await asyncio.to_thread(
                     self.processor.extract_structured_data,
@@ -212,7 +216,7 @@ class PipelineOrchestrator:
                 # Persistence: Lore Updates
                 for lore_update in extraction_result.lore_updates:
                     await asyncio.to_thread(update_lore, lore_update)
-                    logger.info(f"LLM Worker: Lore updated: {lore_update.topic}")
+                    logger.info(f"LLM Worker: Lore updated: {lore_update.entity_name}")
 
                 # Persistence: Character State Updates
                 for char_update in extraction_result.character_updates:
@@ -271,6 +275,7 @@ class PipelineOrchestrator:
             app = ConfirmationApp(
                 ui_to_llm_queue=self.ui_to_llm_queue,
                 llm_to_ui_queue=self.llm_to_ui_queue,
+                log_queue=self.log_queue,
             )
             await app.run_async()
             self.stop()