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use richer member memory in xiaoniu replies

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liuwei
2026-04-07 15:47:32 +08:00
parent 0ac08c45c0
commit fabcb92f3f
2 changed files with 38 additions and 3 deletions
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33
plugins/ai_auto_response/context_builder.py
View File

@@ -69,16 +69,49 @@ class ContextBuilder:
meta = member_context.get("meta", {}) or {}
topics = member_context.get("topics_of_interest", []) or []
recent_focus = member_context.get("recent_focus", []) or []
skills = ContextBuilder._stringify_items(meta.get("skill_profile", []), 5)
stable_traits = ContextBuilder._stringify_items(meta.get("stable_traits", []), 4)
habits = ContextBuilder._stringify_items(meta.get("habit_patterns", []), 4)
reply_prefs = ContextBuilder._stringify_items(meta.get("long_term_reply_preferences", []), 4)
recent_state = ContextBuilder._stringify_items(meta.get("recent_state", []), 4)
reply_taboos = ContextBuilder._stringify_items(meta.get("reply_taboos", []), 3)
lines = [
f"成员摘要：{member_context.get('summary_text', '')}".strip(),
f"互动风格：{member_context.get('interaction_style', '')}".strip(),
f"回复偏好：{member_context.get('response_style_hint', '')}".strip(),
f"长期主题：{', '.join(topics[:5])}" if topics else "",
f"近期关注：{', '.join(recent_focus[:4])}" if recent_focus else "",
f"技能侧重点：{skills}" if skills else "",
f"稳定特征：{stable_traits}" if stable_traits else "",
f"习惯模式：{habits}" if habits else "",
f"长期回复偏好：{reply_prefs}" if reply_prefs else "",
f"近期状态：{recent_state}" if recent_state else "",
f"气质倾向：{meta.get('temperament_tendency', '')}".strip(),
f"群内角色：{meta.get('group_role', '')}".strip(),
f"回复禁忌：{reply_taboos}" if reply_taboos else "",
]
return "\n".join([line for line in lines if line])
@staticmethod
def _stringify_items(items: List | str, limit: int) -> str:
if isinstance(items, str):
return items.strip()
values: List[str] = []
for item in items[:limit]:
if isinstance(item, dict):
value = str(
item.get("name")
or item.get("label")
or item.get("value")
or item.get("text")
or ""
).strip()
else:
value = str(item or "").strip()
if value and value not in values:
values.append(value)
return ", ".join(values)
@staticmethod
def _build_vector_memory_prompt(vector_memories: List[Dict]) -> str:
if not vector_memories:

8
plugins/ai_auto_response/main.py
View File

@@ -414,16 +414,16 @@ class AIAutoResponsePlugin(MessagePluginInterface):
speaker_name = str(context.get("speaker_name_clean", "") or "").strip()
trigger_type = str(context.get("trigger_type", "none") or "none")
address_style = str(group_profile.get("address_style", "低频称呼，默认直接接话") or "低频称呼，默认直接接话")
name_rule = f"13. 称呼风格遵守当前群的要求：{address_style}。默认不要带对方昵称，直接接话。"
name_rule = f"15. 称呼风格遵守当前群的要求：{address_style}。默认不要带对方昵称，直接接话。"
if speaker_name and trigger_type in {"at_trigger", "directed_question", "social_call"}:
name_rule = (
f"13. 称呼风格遵守当前群的要求：{address_style}。"
f"15. 称呼风格遵守当前群的要求：{address_style}。"
f"这次可以视场景偶尔自然带一下对方称呼“{speaker_name}”，但不是必须。"
f"如果要带，位置不要固定在句首，也不要每次都带，更不要像客服点名或脚本播报。"
)
extra_rule = ""
if group_profile.get("knowledge_domain") == "dota":
extra_rule = "14. 如果对方问的是 Dota2 最近战绩、实时战绩、最新对局数据，你要委婉说明现在没法提取这类数据，只能聊理解和常识，不要硬编。\n"
extra_rule = "16. 如果对方问的是 Dota2 最近战绩、实时战绩、最新对局数据，你要委婉说明现在没法提取这类数据，只能聊理解和常识，不要硬编。\n"
return (
f"当前群聊消息：\n{recent_text}\n\n"
f"当前发言：{context.get('current_message', '')}\n"
@@ -449,6 +449,8 @@ class AIAutoResponsePlugin(MessagePluginInterface):
f"10. 把这次回复当作真人聊天里的第一反应，先只给第一层结论，不要主动补第二层解释。\n"
f"11. 如果一句话已经够了，就立刻停，不要为了完整而补充。\n"
f"12. 回答时优先服从当前群画像里的知识域和回答风格，不要跨领域乱发挥。\n"
f"13. 如果成员画像里有对当前问题明显相关的长期兴趣、技能侧重点、回复偏好或近期状态，可以轻微利用这些信息调节措辞、切入角度和详略，但要像你本来就记得这个人，不要表现得像在背资料。\n"
f"14. 如果成员画像里出现回复禁忌、对某种沟通方式明显反感，尽量避开那种说法。\n"
f"{name_rule}\n"
f"{extra_rule}"
)