fix: use escalation model and fallback to permanent memories in migration

- Use LLM_ESCALATION_* env vars for better profile generation
- Fall back to joining permanent memories if profile_update is null

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

scripts/migrate_notes_to_profiles.py

@@ -23,10 +23,11 @@ async def main():
         print("Database not available.")
         return
 
+    # Use escalation model for better profile generation
     llm = LLMClient(
-        base_url=os.getenv("LLM_BASE_URL", ""),
-        model=os.getenv("LLM_MODEL", "gpt-4o-mini"),
-        api_key=os.getenv("LLM_API_KEY", "not-needed"),
+        base_url=os.getenv("LLM_ESCALATION_BASE_URL", os.getenv("LLM_BASE_URL", "")),
+        model=os.getenv("LLM_ESCALATION_MODEL", os.getenv("LLM_MODEL", "gpt-4o-mini")),
+        api_key=os.getenv("LLM_ESCALATION_API_KEY", os.getenv("LLM_API_KEY", "not-needed")),
     )
 
     states = await db.load_all_user_states()
@@ -52,8 +53,18 @@ async def main():
             current_profile="",
         )
 
-        if result and result.get("profile_update"):
-            profile = result["profile_update"]
+        if not result:
+            print(f"    LLM returned no result, keeping existing notes.")
+            continue
+
+        # Use profile_update if provided, otherwise build from permanent memories
+        profile = result.get("profile_update")
+        if not profile:
+            permanent = [m["memory"] for m in result.get("memories", []) if m.get("expiration") == "permanent"]
+            if permanent:
+                profile = " ".join(permanent)
+
+        if profile:
             print(f"    New: {profile[:200]}")
             await db.save_user_state(
                 user_id=state["user_id"],