Fix queued bubbles, queue persistence, duplicate confirm UX, semantic check

- Queued message bubbles now match user bubble style (primary colour,
  right-aligned, opacity 0.45) in both ChatView and WorkspaceView
- Queue persisted to localStorage (fa_conv_queue_<id>); survives page
  refresh, restored on fetchConversation, cleared on delete
- ToolCallCard confirm/deny: buttons now inline in header row; "Create
  anyway" calls POST /api/notes or /api/tasks directly (no LLM round-trip);
  shows "✓ Created" / "Skipped" state; removed chatStore dependency
- POST /api/notes and POST /api/tasks now accept project (name string) and
  resolve to project_id server-side, matching tools.py behaviour
- Remove semantic similarity duplicate check from create_note and
  create_task — 0.87 threshold was too aggressive for topically-related
  notes; title-based exact/fuzzy checks are sufficient

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

src/fabledassistant/services/tools.py

@@ -825,15 +825,6 @@ async def execute_tool(user_id: int, tool_name: str, arguments: dict) -> dict:
                 item_type = "task" if near.status is not None else "note"
                 return {"success": False, "requires_confirmation": True, "similar_note": {"id": near.id, "title": near.title}, "error": f"A {item_type} with a very similar title '{near.title}' already exists (similarity: {ratio:.0%}). Ask the user to confirm before creating a separate entry."}
 
-            if not arguments.get("confirmed") and len(task_body.strip()) >= 80:
-                from fabledassistant.services.embeddings import semantic_search_notes as _ssn
-                sem_query = f"{task_title}\n{task_body}".strip()
-                sem_hits = await _ssn(user_id, sem_query, limit=3, threshold=0.87)
-                if sem_hits:
-                    best_score, best_note = sem_hits[0]
-                    item_type = "task" if best_note.status is not None else "note"
-                    return {"success": False, "requires_confirmation": True, "similar_note": {"id": best_note.id, "title": best_note.title}, "error": f"A {item_type} with very similar content exists: '{best_note.title}' (semantic similarity: {best_score:.0%}). Ask the user to confirm before creating a separate entry."}
-
             note = await create_note(
                 user_id=user_id,
                 title=task_title,
@@ -903,15 +894,6 @@ async def execute_tool(user_id: int, tool_name: str, arguments: dict) -> dict:
                 item_type = "task" if near.status is not None else "note"
                 return {"success": False, "requires_confirmation": True, "similar_note": {"id": near.id, "title": near.title}, "error": f"A {item_type} with a very similar title '{near.title}' already exists (similarity: {ratio:.0%}). Ask the user to confirm before creating a separate entry."}
 
-            if not arguments.get("confirmed") and len(note_body.strip()) >= 80:
-                from fabledassistant.services.embeddings import semantic_search_notes as _ssn
-                sem_query = f"{note_title}\n{note_body}".strip()
-                sem_hits = await _ssn(user_id, sem_query, limit=3, threshold=0.87)
-                if sem_hits:
-                    best_score, best_note = sem_hits[0]
-                    item_type = "task" if best_note.status is not None else "note"
-                    return {"success": False, "requires_confirmation": True, "similar_note": {"id": best_note.id, "title": best_note.title}, "error": f"A {item_type} with very similar content exists: '{best_note.title}' (semantic similarity: {best_score:.0%}). Ask the user to confirm before creating a separate entry."}
-
             note = await create_note(
                 user_id=user_id,
                 title=note_title,