feat: add user alias mapping for jealousy detection context

Adds user_aliases config section mapping Discord IDs to known nicknames.
Aliases are anonymized and injected into LLM analysis context so it can
recognize when someone name-drops another member (even absent ones).

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

cogs/sentiment/__init__.py

@@ -253,6 +253,38 @@ class SentimentCog(commands.Cog):
         """Replace display name keys with anonymous keys in user notes map."""
         return {anon_map.get(name, name): notes for name, notes in user_notes_map.items()}
 
+    @staticmethod
+    def _build_alias_context(
+        messages: list[discord.Message],
+        anon_map: dict[str, str],
+        alias_config: dict,
+    ) -> str:
+        """Build anonymized alias context string for the LLM.
+
+        Maps user IDs from messages to their known nicknames using the
+        config, then replaces display names with anonymous keys.
+        """
+        if not alias_config:
+            return ""
+        lines = []
+        seen_ids: set[int] = set()
+        for msg in messages:
+            uid = msg.author.id
+            if uid in seen_ids:
+                continue
+            seen_ids.add(uid)
+            aliases = alias_config.get(uid)
+            if aliases:
+                anon_key = anon_map.get(msg.author.display_name, msg.author.display_name)
+                lines.append(f"  {anon_key} is also known as: {', '.join(aliases)}")
+        # Also include aliases for members NOT in the conversation (so the LLM
+        # can recognize name-drops of absent members)
+        for uid, aliases in alias_config.items():
+            uid = int(uid) if isinstance(uid, str) else uid
+            if uid not in seen_ids:
+                lines.append(f"  (not in chat) also known as: {', '.join(aliases)}")
+        return "\n".join(lines) if lines else ""
+
     @staticmethod
     def _deanonymize_findings(result: dict, anon_map: dict[str, str]) -> None:
         """Replace anonymous keys back to display names in LLM findings (in-place)."""
@@ -466,6 +498,9 @@ class SentimentCog(commands.Cog):
         anon_conversation = self._anonymize_conversation(conversation, anon_map)
         anon_notes = self._anonymize_notes(user_notes_map, anon_map) if user_notes_map else user_notes_map
 
+        alias_config = config.get("user_aliases", {})
+        alias_context = self._build_alias_context(all_messages, anon_map, alias_config)
+
         channel_context = build_channel_context(ref_message, game_channels)
 
         logger.info(
@@ -480,6 +515,7 @@ class SentimentCog(commands.Cog):
             channel_context=channel_context,
             user_notes_map=anon_notes,
             new_message_start=new_message_start,
+            user_aliases=alias_context,
         )
 
         if result is None:
@@ -499,6 +535,7 @@ class SentimentCog(commands.Cog):
                 channel_context=channel_context,
                 user_notes_map=anon_notes,
                 new_message_start=new_message_start,
+                user_aliases=alias_context,
             )
             if heavy_result is not None:
                 logger.info(
@@ -638,6 +675,9 @@ class SentimentCog(commands.Cog):
         anon_conversation = self._anonymize_conversation(conversation, anon_map)
         anon_notes = self._anonymize_notes(user_notes_map, anon_map) if user_notes_map else user_notes_map
 
+        alias_config = config.get("user_aliases", {})
+        alias_context = self._build_alias_context(raw_messages, anon_map, alias_config)
+
         channel_context = build_channel_context(raw_messages[0], game_channels)
         mention_context = (
             f"A user flagged this conversation and said: \"{mention_text}\"\n"
@@ -650,6 +690,7 @@ class SentimentCog(commands.Cog):
             mention_context=mention_context,
             channel_context=channel_context,
             user_notes_map=anon_notes,
+            user_aliases=alias_context,
         )
 
         if result is None:

config.yaml

@@ -21,6 +21,13 @@ sentiment:
   escalation_threshold: 0.25  # Triage toxicity score that triggers re-analysis with heavy model
   escalation_boost: 0.04  # Per-message drama boost after warning (sustained toxicity ramps toward mute)
 
+# Nicknames/aliases for server members. Used by the LLM to recognize
+# when someone references another member by name in chat.
+user_aliases:
+  684222822272598058: ["Mark", "Limit"]           # thelimitations
+  1113144994790903908: ["Glam", "G"]              # Glamgirlxx
+  1195191381929508964: ["Bree"]                   # QueenBree10
+
 game_channels:
   gta-online: "GTA Online"
   battlefield: "Battlefield"
@@ -135,11 +142,6 @@ polls:
   duration_hours: 4
   cooldown_minutes: 60  # Per-channel cooldown between auto-polls
 
-wordle:
-  enabled: true
-  bot_name: "Wordle"          # Discord bot name to watch for
-  reply_chance: 0.75           # Chance to comment on result summaries (0.0-1.0)
-  playing_reply_chance: 0.0    # Chance to comment on "was playing" messages (0 = never)
 
 coherence:
   enabled: true

utils/llm_client.py

@@ -489,6 +489,7 @@ class LLMClient:
         channel_context: str = "",
         user_notes_map: dict[str, str] | None = None,
         new_message_start: int | None = None,
+        user_aliases: str = "",
     ) -> dict | None:
         """Analyze a conversation block in one call, returning per-user findings."""
         if not messages:
@@ -497,6 +498,8 @@ class LLMClient:
         convo_block = self._format_conversation_block(messages, new_message_start=new_message_start)
 
         user_content = f"=== CONVERSATION BLOCK ===\n{convo_block}\n\n"
+        if user_aliases:
+            user_content += f"=== KNOWN MEMBER ALIASES (names other members use to refer to each other) ===\n{user_aliases}\n\n"
         if user_notes_map:
             notes_lines = [f"  {u}: {n}" for u, n in user_notes_map.items() if n]
             if notes_lines: