refactor(chat): 统一异步调用模式并修复循环依赖

- 将 chat_manager.get_stream() 调用改为异步
- 将 replyer_manager.get_replyer() 方法改为异步
- 在 generator_api 中使用动态导入避免循环依赖
- 在 action_manager 中添加待处理动作队列清理
- 更新所有相关调用点以支持异步模式

src/chat/memory_system/memory_system.py

@@ -1111,7 +1111,7 @@ class MemorySystem:
                 from src.chat.message_receive.chat_stream import get_chat_manager
 
                 chat_manager = get_chat_manager()
-                chat_stream = chat_manager.get_stream(stream_id)
+                chat_stream = await chat_manager.get_stream(stream_id)
                 if chat_stream and hasattr(chat_stream, "context_manager"):
                     history_limit = self._determine_history_limit(context)
                     messages = chat_stream.context_manager.get_messages(limit=history_limit, include_unread=True)

src/chat/planner_actions/action_manager.py

@@ -615,6 +615,7 @@ class ChatterActionManager:
         """禁用批量存储模式"""
         self._batch_storage_enabled = False
         self._current_chat_id = None
+        self._pending_actions = []  # 清空队列
         logger.debug("已禁用批量存储模式")
 
     def add_action_to_batch(self, action_name: str, action_data: dict, thinking_id: str = "",

src/chat/replyer/replyer_manager.py

@@ -9,7 +9,7 @@ class ReplyerManager:
     def __init__(self):
         self._repliers: dict[str, DefaultReplyer] = {}
 
-    def get_replyer(
+    async def get_replyer(
         self,
         chat_stream: ChatStream | None = None,
         chat_id: str | None = None,
@@ -37,7 +37,7 @@ class ReplyerManager:
         target_stream = chat_stream
         if not target_stream:
             if chat_manager := get_chat_manager():
-                target_stream = chat_manager.get_stream(stream_id)
+                target_stream = await chat_manager.get_stream(stream_id)
 
         if not target_stream:
             logger.warning(f"[ReplyerManager] 未找到 stream_id='{stream_id}' 的聊天流，无法创建回复器。")

src/chat/utils/prompt.py

@@ -490,7 +490,7 @@ class Prompt:
             from src.plugin_system.apis.generator_api import get_replyer
 
             # 创建临时生成器实例来使用其方法
-            temp_generator = get_replyer(None, chat_id, request_type="prompt_building")
+            temp_generator = await get_replyer(None, chat_id, request_type="prompt_building")
             return await temp_generator.build_s4u_chat_history_prompts(
                 message_list_before_now, target_user_id, sender, chat_id
             )

src/plugin_system/apis/generator_api.py

@@ -9,17 +9,18 @@
 """
 
 import traceback
-from typing import Any
+from typing import TYPE_CHECKING, Any
 
 from rich.traceback import install
 
 from src.chat.message_receive.chat_stream import ChatStream
-from src.chat.replyer.default_generator import DefaultReplyer
-from src.chat.replyer.replyer_manager import replyer_manager
 from src.chat.utils.utils import process_llm_response
 from src.common.logger import get_logger
 from src.plugin_system.base.component_types import ActionInfo
 
+if TYPE_CHECKING:
+    from src.chat.replyer.default_generator import DefaultReplyer
+
 install(extra_lines=3)
 
 # 日志记录器
@@ -31,11 +32,11 @@ logger = get_logger("generator_api")
 # =============================================================================
 
 
-def get_replyer(
+async def get_replyer(
     chat_stream: ChatStream | None = None,
     chat_id: str | None = None,
     request_type: str = "replyer",
-) -> DefaultReplyer | None:
+) -> Any | None:
     """获取回复器对象
 
     优先使用chat_stream，如果没有则使用chat_id直接查找。
@@ -56,7 +57,9 @@ def get_replyer(
         raise ValueError("chat_stream 和 chat_id 不可均为空")
     try:
         logger.debug(f"[GeneratorAPI] 正在获取回复器，chat_id: {chat_id}, chat_stream: {'有' if chat_stream else '无'}")
-        return replyer_manager.get_replyer(
+        # 动态导入避免循环依赖
+        from src.chat.replyer.replyer_manager import replyer_manager
+        return await replyer_manager.get_replyer(
             chat_stream=chat_stream,
             chat_id=chat_id,
             request_type=request_type,
@@ -110,7 +113,7 @@ async def generate_reply(
     """
     try:
         # 获取回复器
-        replyer = get_replyer(chat_stream, chat_id, request_type=request_type)
+        replyer = await get_replyer(chat_stream, chat_id, request_type=request_type)
         if not replyer:
             logger.error("[GeneratorAPI] 无法获取回复器")
             return False, [], None
@@ -199,7 +202,7 @@ async def rewrite_reply(
     """
     try:
         # 获取回复器
-        replyer = get_replyer(chat_stream, chat_id, request_type=request_type)
+        replyer = await get_replyer(chat_stream, chat_id, request_type=request_type)
         if not replyer:
             logger.error("[GeneratorAPI] 无法获取回复器")
             return False, [], None
@@ -285,7 +288,7 @@ async def generate_response_custom(
     Returns:
         Optional[str]: 生成的回复内容
     """
-    replyer = get_replyer(chat_stream, chat_id, request_type=request_type)
+    replyer = await get_replyer(chat_stream, chat_id, request_type=request_type)
     if not replyer:
         logger.error("[GeneratorAPI] 无法获取回复器")
         return None

src/plugins/built_in/affinity_flow_chatter/plan_executor.py

@@ -441,7 +441,7 @@ class ChatterPlanExecutor:
             # 通过 chat_id 获取真实的 chat_stream 对象
             from src.plugin_system.apis.chat_api import get_chat_manager
             chat_manager = get_chat_manager()
-            chat_stream = chat_manager.get_stream(plan.chat_id)
+            chat_stream = await chat_manager.get_stream(plan.chat_id)
 
             if chat_stream:
                 # 调用 action_manager 的批量存储