Reduce repetitive drama score mentions in chat replies

Only inject drama score/offense context when values are noteworthy
(score >= 0.2 or offenses > 0). Update personality prompt to avoid
harping on zero scores and vary responses more.

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

cogs/chat.py

@@ -96,20 +96,21 @@ class ChatCog(commands.Cog):
             if not content:
                 content = "(just pinged me)"
 
-            # Add drama score context to the user message
+            # Add drama score context only when noteworthy
             drama_score = self.bot.drama_tracker.get_drama_score(message.author.id)
             user_data = self.bot.drama_tracker.get_user(message.author.id)
-            score_context = (
-                f"[Server context: {message.author.display_name} has a drama score of "
-                f"{drama_score:.2f}/1.0 and {user_data.offense_count} offenses. "
-                f"They are talking in #{message.channel.name}.]"
-            )
+            context_parts = [f"#{message.channel.name}"]
+            if drama_score >= 0.2:
+                context_parts.append(f"drama score {drama_score:.2f}/1.0")
+            if user_data.offense_count > 0:
+                context_parts.append(f"{user_data.offense_count} offense(s)")
+            score_context = f"[Server context: {message.author.display_name} — {', '.join(context_parts)}]"
 
             self._chat_history[ch_id].append(
                 {"role": "user", "content": f"{score_context}\n{message.author.display_name}: {content}"}
             )
 
-            response = await self.bot.llm_heavy.chat(
+            response = await self.bot.llm.chat(
                 list(self._chat_history[ch_id]),
                 CHAT_PERSONALITY,
                 on_first_token=start_typing,