feat：新增sub_agent，暂时用于emoji选择；修改部分配置位置

src/chat/emoji_system/maisaka_tool.py

@@ -1,5 +1,6 @@
 """Maisaka 表情工具内置能力。"""
 
+from collections.abc import Awaitable, Callable
 from dataclasses import dataclass, field
 from typing import Any, Optional, Sequence
 
@@ -17,6 +18,11 @@ from .emoji_manager import _serialize_emoji_for_hook, emoji_manager, emoji_manag
 
 logger = get_logger("emoji_maisaka_tool")
 
+EmojiSelector = Callable[
+    [str, str, Sequence[str] | None, int],
+    Awaitable[tuple[MaiEmoji | None, str]],
+]
+
 
 @dataclass(slots=True)
 class MaisakaEmojiSendResult:
@@ -198,13 +204,14 @@ async def send_emoji_for_maisaka(
     requested_emotion: str = "",
     reasoning: str = "",
     context_texts: Sequence[str] | None = None,
+    emoji_selector: EmojiSelector | None = None,
 ) -> MaisakaEmojiSendResult:
     """为 Maisaka 选择并发送一个表情。"""
 
     normalized_requested_emotion = requested_emotion.strip()
     normalized_reasoning = reasoning.strip()
     normalized_context_texts = _normalize_context_texts(context_texts)
-    sample_size = 30
+    sample_size = 20
 
     before_select_result = await _get_runtime_manager().invoke_hook(
         "emoji.maisaka.before_select",
@@ -232,12 +239,20 @@ async def send_emoji_for_maisaka(
         normalized_context_texts = _normalize_context_texts(before_select_kwargs.get("context_texts"))
     sample_size = _coerce_positive_int(before_select_kwargs.get("sample_size"), sample_size)
 
-    selected_emoji, matched_emotion = await select_emoji_for_maisaka(
-        requested_emotion=normalized_requested_emotion,
-        reasoning=normalized_reasoning,
-        context_texts=normalized_context_texts,
-        sample_size=sample_size,
-    )
+    if emoji_selector is None:
+        selected_emoji, matched_emotion = await select_emoji_for_maisaka(
+            requested_emotion=normalized_requested_emotion,
+            reasoning=normalized_reasoning,
+            context_texts=normalized_context_texts,
+            sample_size=sample_size,
+        )
+    else:
+        selected_emoji, matched_emotion = await emoji_selector(
+            normalized_requested_emotion,
+            normalized_reasoning,
+            normalized_context_texts,
+            sample_size,
+        )
     after_select_result = await _get_runtime_manager().invoke_hook(
         "emoji.maisaka.after_select",
         stream_id=stream_id,

src/chat/replyer/maisaka_generator.py

@@ -151,7 +151,7 @@ class MaisakaReplyGenerator:
                     content = self._normalize_content(content_body)
                     if not content:
                         continue
-                    visible_speaker = speaker_name or global_config.maisaka.user_name.strip() or "User"
+                    visible_speaker = speaker_name or global_config.maisaka.cli_user_name.strip() or "User"
                     parts.append(f"{timestamp} {visible_speaker}: {content}")
                 continue
 

src/chat/replyer/maisaka_generator_multi.py

@@ -162,7 +162,7 @@ class MaisakaReplyGenerator:
     def _build_history_messages(self, chat_history: List[LLMContextMessage]) -> List[Message]:
         """将 replyer 上下文拆成多条 LLM 消息。"""
         bot_nickname = global_config.bot.nickname.strip() or "Bot"
-        default_user_name = global_config.maisaka.user_name.strip() or "User"
+        default_user_name = global_config.maisaka.cli_user_name.strip() or "User"
         messages: List[Message] = []
 
         for message in chat_history: