From 0ea7b6195180d36931e4d26fa32695456ca14e5e Mon Sep 17 00:00:00 2001
From: liuwei <liuwei@wdtrgf.com.cn>
Date: Fri, 24 Apr 2026 15:44:03 +0800
Subject: [PATCH] =?UTF-8?q?=E5=A2=9E=E5=8A=A0=E5=B8=B8=E9=A9=BB=E7=BE=A4?=
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---
 plugins/ai_auto_response/config.toml          | 14 ++++--
 .../context/context_builder.py                | 50 +++++++++++++++++++
 plugins/ai_auto_response/main.py              | 21 +++++++-
 3 files changed, 79 insertions(+), 6 deletions(-)

diff --git a/plugins/ai_auto_response/config.toml b/plugins/ai_auto_response/config.toml
index 2854ef8..45b70e0 100644
--- a/plugins/ai_auto_response/config.toml
+++ b/plugins/ai_auto_response/config.toml
@@ -72,8 +72,14 @@ default_char_limit = 30
 default_total_limit = 30
 
 [prompt_compact]
-group_profile_max_chars = 220
-group_profile_max_lines = 6
+# 这里改成“常驻轻背景 + 相关增强”后，群长期摘要和成员轻画像都会稳定带给模型：
+# 1. group_profile 放宽，让群长期摘要不会总被前面的模式/知识域说明挤掉；
+# 2. member_profile_brief_* 新增为常驻轻画像额度，每次都给当前发言人一小段稳定画像；
+# 3. 更重的成员记忆、群事实、向量记忆仍然保留独立额度，并继续走按需增强。
+group_profile_max_chars = 420
+group_profile_max_lines = 10
+member_profile_brief_max_chars = 260
+member_profile_brief_max_lines = 6
 # 最近上下文现在要真实交给模型 30 条，因此这里同步放宽整体上下文裁剪阈值：
 # 1. recent_message_max_lines 提到 30，避免“窗口明明有 30，提示词里只留下 4 条”；
 # 2. context_max_lines/context_max_chars 一起抬高，避免最近消息刚拼进去又被整体截断；
@@ -86,8 +92,8 @@ at_member_profile_max_chars = 160
 at_member_profile_max_lines = 5
 member_memory_max_chars = 180
 member_memory_max_lines = 6
-memory_max_chars = 240
-memory_max_lines = 8
+memory_max_chars = 520
+memory_max_lines = 14
 strict_memory_relevance = true
 
 [image]
diff --git a/plugins/ai_auto_response/context/context_builder.py b/plugins/ai_auto_response/context/context_builder.py
index 6bc77f6..6338dab 100644
--- a/plugins/ai_auto_response/context/context_builder.py
+++ b/plugins/ai_auto_response/context/context_builder.py
@@ -59,6 +59,7 @@ class ContextBuilder:
             "trigger_type": trigger.get("trigger_type", "none"),
             "reply_mode": reply_mode,
             "flow_state": flow_state,
+            "member_profile_brief_prompt": self._build_member_profile_brief_prompt(member_context or {}),
             "memory_prompt": self._build_member_memory_prompt(member_context, member_memory_focus or []),
             "at_member_profile_prompt": self._build_at_member_profile_prompt(
                 member_context=member_context or {},
@@ -69,6 +70,7 @@ class ContextBuilder:
             "vector_memory_prompt": self._build_vector_memory_prompt(vector_memories),
             "social_memory_prompt": self._build_social_memory_prompt(social_memory or {}),
             "group_facts_prompt": self._build_group_facts_prompt(group_facts or {}),
+            "group_long_memory_prompt": self._build_group_long_memory_prompt(group_profile or {}),
             "group_profile_prompt": self._build_group_profile_prompt(group_profile or {}),
             "quote_prompt": self._build_quote_prompt(quote_context or {}),
             "image_prompt": self._build_image_prompt(image_context or {}),
@@ -207,6 +209,35 @@ class ContextBuilder:
         text = re.sub(r"[^\u4e00-\u9fffA-Za-z0-9_]", "", text)
         return text[:8]
 
+    @staticmethod
+    def _build_member_profile_brief_prompt(member_context: Dict) -> str:
+        # 这份摘要是“常驻给模型看的轻画像”：
+        # 1. 不要求当前一定是 @ 或强定向，因为用户希望每次回答都能带上对这个人的基本认识；
+        # 2. 这里只保留少量稳定信息，避免画像太重把当前问题压住；
+        # 3. 更细的成员记忆、近期相关记忆，仍走后面的按需增强链路。
+        if not member_context:
+            return ""
+        meta = member_context.get("meta", {}) or {}
+        summary = str(member_context.get("summary_text", "") or "").strip()
+        interaction_style = str(member_context.get("interaction_style", "") or "").strip()
+        response_hint = str(member_context.get("response_style_hint", "") or "").strip()
+        topics = ContextBuilder._stringify_items(member_context.get("topics_of_interest", []) or [], 3)
+        recent_focus = ContextBuilder._stringify_items(member_context.get("recent_focus", []) or [], 2)
+        skills = ContextBuilder._stringify_items(meta.get("skill_profile", []) or [], 2)
+        reply_prefs = ContextBuilder._stringify_items(meta.get("long_term_reply_preferences", []) or [], 2)
+        lines = [
+            "当前发言人轻画像：",
+            f"成员摘要：{summary}" if summary else "",
+            f"互动风格：{interaction_style}" if interaction_style else "",
+            f"偏好回复方式：{response_hint}" if response_hint else "",
+            f"长期兴趣：{topics}" if topics else "",
+            f"近期关注：{recent_focus}" if recent_focus else "",
+            f"技能侧重点：{skills}" if skills else "",
+            f"回复偏好：{reply_prefs}" if reply_prefs else "",
+            "这些信息只用于帮助理解提问方式和回答切口，不要像在背档案。",
+        ]
+        return "\n".join([line for line in lines if line])
+
     @staticmethod
     def _build_member_memory_prompt(member_context: Dict, focus_lines: List[str] | None = None) -> str:
         if not member_context:
@@ -320,6 +351,25 @@ class ContextBuilder:
     def _build_group_facts_prompt(group_facts: Dict) -> str:
         return str((group_facts or {}).get("prompt", "") or "").strip()
 
+    @staticmethod
+    def _build_group_long_memory_prompt(group_profile: Dict) -> str:
+        # 这份摘要是“群长期背景常驻层”：
+        # 1. 每次都给一小段，帮助模型知道这个群长期在聊什么、什么风格更合适；
+        # 2. 不把完整群画像整段塞进去，避免大量通用风格描述把 token 吃满；
+        # 3. 更细的群事实、群关系仍走相关性增强链路。
+        if not group_profile:
+            return ""
+        summary = ContextBuilder._compact_group_summary(str(group_profile.get("group_memory_summary", "") or ""), max_chars=220, max_sentences=4)
+        focus = ", ".join(group_profile.get("knowledge_focus", [])[:4])
+        memory_style = ContextBuilder._build_style_summary(group_profile.get("group_memory_style", {}))
+        lines = [
+            "群长期背景：",
+            f"长期摘要：{summary}" if summary else "",
+            f"常聊方向：{focus}" if focus else "",
+            f"历史社交风格：{memory_style}" if memory_style else "",
+        ]
+        return "\n".join([line for line in lines if line])
+
     @staticmethod
     def _build_group_profile_prompt(group_profile: Dict) -> str:
         if not group_profile:
diff --git a/plugins/ai_auto_response/main.py b/plugins/ai_auto_response/main.py
index 4d7dc13..f710c1c 100644
--- a/plugins/ai_auto_response/main.py
+++ b/plugins/ai_auto_response/main.py
@@ -911,8 +911,12 @@ class AIAutoResponsePlugin(MessagePluginInterface):
             memory_hints=memory_hints,
         )
         persona = self._compose_dify_persona_text(group_profile, context)
+        group_profile_parts = [
+            self._string_block("群长期记忆(常驻)", context.get("group_long_memory_prompt", "")),
+            self._string_block("群当前画像", context.get("group_profile_prompt", "")),
+        ]
         group_profile_text = self._compact_text(
-            str(context.get("group_profile_prompt", "") or "").strip() or "当前群没有特殊画像。",
+            "\n\n".join([part for part in group_profile_parts if part]).strip() or "当前群没有特殊画像。",
             max_chars=int(self.prompt_compact_config.get("group_profile_max_chars", 220) or 220),
             max_lines=int(self.prompt_compact_config.get("group_profile_max_lines", 6) or 6),
         )
@@ -945,6 +949,14 @@ class AIAutoResponsePlugin(MessagePluginInterface):
             max_lines=int(self.prompt_compact_config.get("context_max_lines", 10) or 10),
         )
 
+        # 成员画像拆成两层：
+        # 1. 常驻轻画像：每次都带，帮助模型理解这个人的提问方式、风格和切口；
+        # 2. 定向增强画像：只有明确 @ / 强定向 / followup 时再额外补，避免平时过度套人设。
+        member_profile_brief_text = self._compact_text(
+            str(context.get("member_profile_brief_prompt", "") or ""),
+            max_chars=int(self.prompt_compact_config.get("member_profile_brief_max_chars", 260) or 260),
+            max_lines=int(self.prompt_compact_config.get("member_profile_brief_max_lines", 6) or 6),
+        )
         at_member_profile_text = ""
         if bool(prompt_strategy.get("allow_member_memory")):
             at_member_profile_text = self._compact_text(
@@ -962,6 +974,7 @@ class AIAutoResponsePlugin(MessagePluginInterface):
         member_memory_text = self._remove_overlap_lines(member_memory_text, at_member_profile_text)
 
         memory_parts = [
+            self._string_block("当前发言人画像(常驻)", member_profile_brief_text),
             self._string_block("本次@发起者画像(优先)", at_member_profile_text),
             self._string_block("成员记忆", member_memory_text),
             self._string_block(
@@ -1214,7 +1227,11 @@ class AIAutoResponsePlugin(MessagePluginInterface):
         }
 
         allow_member_memory = strong_directed or is_followup or returning_state in {"returning_member", "long_absent_member"}
-        allow_social_memory = is_question_like and strong_directed
+        # 群关系记忆继续按需开放，但问答模式下不再必须“强定向”才允许：
+        # 1. 用户希望回答能带上群里的长期背景和互动关系；
+        # 2. 关系记忆仍会经过相关性过滤，所以放宽入口不会直接把无关关系灌进去；
+        # 3. 这样技术问答里也更容易利用“谁经常和谁接话、谁常问哪类问题”的弱背景。
+        allow_social_memory = is_question_like
         allow_group_facts = reply_mode == "qa_with_context"
         allow_vector_memory = reply_mode == "qa_with_context" or returning_state == "long_absent_member"