feat: structured user profile with LLM-learned preferences

Replaces the freeform briefing-profile note with a DB-backed user_profiles
table. Users can edit job/industry/expertise/response preferences/interests/
work schedule via a new Settings → Profile tab. The LLM appends nightly
observations; at 14+ entries they are auto-consolidated into a learned_summary.
Profile context is injected into both briefing and chat system prompts.

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

src/fabledassistant/app.py

@@ -32,6 +32,7 @@ from fabledassistant.routes.api_keys import api_keys_bp
 from fabledassistant.routes.events import events_bp
 from fabledassistant.routes.search import search_bp
 from fabledassistant.routes.voice import voice_bp
+from fabledassistant.routes.profile import profile_bp
 
 STATIC_DIR = Path(__file__).parent / "static"
 logger = logging.getLogger(__name__)
@@ -94,6 +95,7 @@ def create_app() -> Quart:
     app.register_blueprint(events_bp)
     app.register_blueprint(search_bp)
     app.register_blueprint(voice_bp)
+    app.register_blueprint(profile_bp)
 
     @app.before_request
     async def before_request():