fix: skip background agent chat persistence

app/agent/__init__.py

@@ -57,7 +57,7 @@ from app.log import logger
 from app.schemas import AgentLLMProviderEventData, AgentTokensUsageEventData, Notification, NotificationType
 from app.schemas.message import ChannelCapabilityManager, ChannelCapability
 from app.schemas.types import ChainEventType, EventType, MessageChannel
-from app.utils.identity import SYSTEM_INTERNAL_USER_ID
+from app.utils.identity import SYSTEM_INTERNAL_USER_ID, is_internal_user_id
 
 
 class AgentChain(ChainBase):
@@ -227,6 +227,7 @@ class ReplyMode(str, Enum):
     CAPTURE_ONLY = "capture_only"
 
 
+INTERNAL_AGENT_SESSION_PREFIX = "__agent_"
 HEARTBEAT_SESSION_PREFIX = "__agent_heartbeat_"
 UNSUPPORTED_IMAGE_INPUT_MESSAGE = "当前模型不支持图片输入，请更换支持图片输入的模型，或在系统设置中关闭图片输入支持后重试。"
 AGENT_EXECUTION_ERROR_PREFIX = "智能助手执行失败"
@@ -313,6 +314,17 @@ class MoviePilotAgent:
             and self.channel not in AGENT_DISPLAY_HISTORY_SKIP_CHANNELS
         )
 
+    def _should_persist_agent_chat(self) -> bool:
+        """
+        判断当前 Agent 是否需要写入会话历史表。
+        """
+        if self.is_heartbeat_session:
+            return False
+        return not (
+            is_internal_user_id(self.user_id)
+            and self.session_id.startswith(INTERNAL_AGENT_SESSION_PREFIX)
+        )
+
     def _save_display_history_messages(self, messages: List[dict]) -> None:
         """
         将一组可见消息追加到 Agent 会话历史表。
@@ -372,6 +384,8 @@ class MoviePilotAgent:
         """
         首次对话时生成并保存会话标题。
         """
+        if not self._should_persist_agent_chat():
+            return
         if self._tool_context.get("chat_title_prepared"):
             return
         self._tool_context["chat_title_prepared"] = True
@@ -1373,12 +1387,12 @@ class MoviePilotAgent:
                         break
             self._save_assistant_display_message_once(display_text)
 
-            # 保存消息
-            memory_manager.save_agent_messages(
-                session_id=self.session_id,
-                user_id=self.user_id,
-                messages=agent.get_state(agent_config).values.get("messages", []),
-            )
+            if self._should_persist_agent_chat():
+                memory_manager.save_agent_messages(
+                    session_id=self.session_id,
+                    user_id=self.user_id,
+                    messages=agent.get_state(agent_config).values.get("messages", []),
+                )
             execution_success = True
 
         except asyncio.CancelledError:

tests/test_agent_chat_history.py

@@ -1,11 +1,12 @@
 import asyncio
 from types import SimpleNamespace
 
-from langchain_core.messages import HumanMessage
+from langchain_core.messages import AIMessage, HumanMessage
 
-from app.agent import MoviePilotAgent
+from app.agent import HEARTBEAT_SESSION_PREFIX, MoviePilotAgent
 from app.agent.memory import memory_manager
 from app.db.agentchat_oper import AgentChatOper
+from app.utils.identity import SYSTEM_INTERNAL_USER_ID
 
 
 def test_agent_chat_oper_saves_display_messages_with_channel():
@@ -110,6 +111,99 @@ def test_agent_prepare_chat_title_generates_title(monkeypatch):
     assert chat.source == "web-agent"
 
 
+def test_agent_prepare_chat_title_skips_internal_background_sessions(monkeypatch):
+    """内部后台任务和心跳会话不应生成标题或创建历史会话。"""
+
+    async def fake_initialize_llm(self, streaming=False):
+        """后台会话不应初始化标题模型。"""
+        raise AssertionError("background title generation should be skipped")
+
+    monkeypatch.setattr(MoviePilotAgent, "_initialize_llm", fake_initialize_llm)
+
+    for session_id in (
+        "__agent_background_title__",
+        f"{HEARTBEAT_SESSION_PREFIX}title__",
+    ):
+        agent = MoviePilotAgent(
+            session_id=session_id,
+            user_id=SYSTEM_INTERNAL_USER_ID,
+            username="admin",
+        )
+        asyncio.run(agent.prepare_chat_title("后台任务"))
+
+        assert AgentChatOper().get(
+            session_id=session_id,
+            user_id=SYSTEM_INTERNAL_USER_ID,
+        ) is None
+
+
+def test_agent_prepare_chat_title_keeps_user_cli_sessions(monkeypatch):
+    """用户显式 CLI 会话即使没有渠道来源也应保留标题生成。"""
+
+    class FakeTitleModel:
+        """测试用 CLI 标题模型。"""
+
+        async def ainvoke(self, messages):
+            """返回固定 CLI 标题。"""
+            return SimpleNamespace(content="CLI 会话排查")
+
+    async def fake_initialize_llm(self, streaming=False):
+        """返回测试 CLI 标题模型。"""
+        return FakeTitleModel()
+
+    monkeypatch.setattr(MoviePilotAgent, "_initialize_llm", fake_initialize_llm)
+    agent = MoviePilotAgent(
+        session_id="cli-title-session",
+        user_id="cli",
+        username="admin",
+    )
+
+    asyncio.run(agent.prepare_chat_title("帮我检查配置"))
+    chat = AgentChatOper().get(session_id="cli-title-session", user_id="cli")
+
+    assert chat.title == "CLI 会话排查"
+
+
+def test_internal_background_agent_execution_does_not_persist_chat_history(monkeypatch):
+    """内部后台任务执行完成后不应写入 Agent 会话历史表。"""
+    session_id = "__agent_background_skip_persist__"
+    user_id = SYSTEM_INTERNAL_USER_ID
+    memory_manager.clear_memory(session_id, user_id)
+
+    class FakeGraphState:
+        """测试用 LangGraph 状态。"""
+
+        def __init__(self, messages):
+            self.values = {"messages": messages}
+
+    class FakeAgent:
+        """测试用 LangGraph Agent。"""
+
+        async def ainvoke(self, _payload, config=None):
+            """模拟非流式 Agent 执行。"""
+            return None
+
+        def get_state(self, _config):
+            """返回包含最终回复的状态。"""
+            return FakeGraphState([AIMessage(content="后台结果")])
+
+    async def fake_create_agent(self, streaming=False):
+        """返回测试 Agent，避免真实初始化模型。"""
+        return FakeAgent()
+
+    monkeypatch.setattr(MoviePilotAgent, "_create_agent", fake_create_agent)
+    agent = MoviePilotAgent(
+        session_id=session_id,
+        user_id=user_id,
+        username="admin",
+    )
+
+    asyncio.run(agent._execute_agent([]))
+
+    assert AgentChatOper().get(session_id=session_id, user_id=user_id) is None
+    assert memory_manager.get_memory(session_id, user_id) is None
+
+
 def test_memory_manager_restores_agent_messages_from_database():
     """内存缓存缺失时应从 Agent 会话历史表恢复原始 messages。"""
     session_id = "session-memory"