feat：新增一个replyer参数

src/chat/replyer/maisaka_generator_base.py

@@ -1,9 +1,9 @@
-import time
 from dataclasses import dataclass, field
 from datetime import datetime
 from typing import Any, Awaitable, Callable, Dict, List, Literal, Optional, Tuple
 
 import random
+import time
 
 from rich.console import Group, RenderableType
 from rich.panel import Panel
@@ -110,11 +110,15 @@ class BaseMaisakaReplyGenerator:
         return ""
 
     def _extract_guided_bot_reply(self, message: SessionBackedMessage) -> str:
-        speaker_name, body = parse_speaker_content(message.processed_plain_text.strip())
-        bot_nickname = global_config.bot.nickname.strip() or "Bot"
-        if speaker_name == bot_nickname:
-            return self._normalize_content(body.strip())
-        return ""
+        # 只能根据结构化来源字段判断是否为 bot 自身写回的历史消息，
+        # 不能依赖昵称/群名片等可控文本，避免误判和提示注入。
+        if message.source_kind != "guided_reply":
+            return ""
+
+        plain_text = message.processed_plain_text.strip()
+        _, body = parse_speaker_content(plain_text)
+        normalized_body = body.strip() or plain_text
+        return self._normalize_content(normalized_body) if normalized_body else ""
 
     def _build_target_message_block(self, reply_message: Optional[SessionMessage]) -> str:
         if reply_message is None:
@@ -210,6 +214,7 @@ class BaseMaisakaReplyGenerator:
         self,
         reply_message: Optional[SessionMessage],
         reply_reason: str,
+        reference_info: str = "",
         expression_habits: str = "",
         stream_id: Optional[str] = None,
     ) -> str:
@@ -234,8 +239,13 @@ class BaseMaisakaReplyGenerator:
             sections.append(expression_habits.strip())
         if target_message_block:
             sections.append(target_message_block)
+        reply_reference_lines: List[str] = []
         if reply_reason.strip():
-            sections.append(f"【回复信息参考】\n{reply_reason}")
+            reply_reference_lines.append(f"【最新推理】\n{reply_reason.strip()}")
+        if reference_info.strip():
+            reply_reference_lines.append(f"【参考信息】\n{reference_info.strip()}")
+        if reply_reference_lines:
+            sections.append("【回复信息参考】\n" + "\n\n".join(reply_reference_lines))
         if not sections:
             return system_prompt
         return f"{system_prompt}\n\n" + "\n\n".join(sections)
@@ -308,6 +318,7 @@ class BaseMaisakaReplyGenerator:
         chat_history: List[LLMContextMessage],
         reply_message: Optional[SessionMessage],
         reply_reason: str,
+        reference_info: str = "",
         expression_habits: str = "",
         stream_id: Optional[str] = None,
         enable_visual_message: bool = False,
@@ -316,6 +327,7 @@ class BaseMaisakaReplyGenerator:
         system_prompt = self._build_system_prompt(
             reply_message=reply_message,
             reply_reason=reply_reason,
+            reference_info=reference_info,
             expression_habits=expression_habits,
             stream_id=stream_id,
         )
@@ -377,6 +389,7 @@ class BaseMaisakaReplyGenerator:
         self,
         extra_info: str = "",
         reply_reason: str = "",
+        reference_info: str = "",
         available_actions: Optional[Dict[str, ActionInfo]] = None,
         chosen_actions: Optional[List[object]] = None,
         from_plugin: bool = True,
@@ -461,6 +474,7 @@ class BaseMaisakaReplyGenerator:
                 chat_history=filtered_history,
                 reply_message=reply_message,
                 reply_reason=reply_reason or "",
+                reference_info=reference_info or "",
                 expression_habits=merged_expression_habits,
                 stream_id=stream_id,
             )
@@ -486,6 +500,7 @@ class BaseMaisakaReplyGenerator:
                 chat_history=filtered_history,
                 reply_message=reply_message,
                 reply_reason=reply_reason or "",
+                reference_info=reference_info or "",
                 expression_habits=merged_expression_habits,
                 stream_id=stream_id,
                 enable_visual_message=self._resolve_enable_visual_message(model_info),
@@ -504,7 +519,6 @@ class BaseMaisakaReplyGenerator:
                     chat_id=preview_chat_id,
                     request_kind="replyer",
                     selection_reason=f"ID: {preview_chat_id}",
-                    image_display_mode="path_link" if global_config.maisaka.show_image_path else "legacy",
                 ),
                 title="Reply Prompt",
                 border_style="bright_yellow",

src/maisaka/builtin_tool/reply.py

@@ -36,7 +36,8 @@ def get_tool_spec() -> ToolSpec:
         detailed_description=(
             "参数说明：\n"
             "- msg_id：string，必填。要回复的目标用户消息编号。\n"
-            "- set_quote：boolean，可选。以引用回复的方式发送，默认 true。"
+            "- set_quote：boolean，可选。以引用回复的方式发送，默认 true。\n"
+            "- reference_info：string，可选。上文中有助于回复的所有参考信息，使用平文本格式。"
         ),
         parameters_schema={
             "type": "object",
@@ -50,6 +51,11 @@ def get_tool_spec() -> ToolSpec:
                     "description": "以引用回复的方式发送这条回复，不用每句都引用。",
                     "default": True,
                 },
+                "reference_info": {
+                    "type": "string",
+                    "description": "有助于回复的信息，之前搜集得到的事实性信息，记忆等，使用平文本格式。",
+                    "default": True,
+                },
             },
             "required": ["msg_id"],
         },
@@ -75,6 +81,7 @@ async def handle_tool(
     """执行 reply 内置工具。"""
 
     latest_thought = context.reasoning if context is not None else invocation.reasoning
+    reference_info = str(invocation.arguments.get("reference_info") or "").strip()
     target_message_id = str(invocation.arguments.get("msg_id") or "").strip()
     set_quote = bool(invocation.arguments.get("set_quote", True))
 
@@ -117,6 +124,7 @@ async def handle_tool(
     try:
         success, reply_result = await replyer.generate_reply_with_context(
             reply_reason=latest_thought,
+            reference_info=reference_info,
             stream_id=tool_ctx.runtime.session_id,
             reply_message=target_message,
             chat_history=tool_ctx.runtime._chat_history,