修复 title 总结失败bug,新增enable_thinking参数

src/server/deep_agent/agents/main_agent.py

@@ -9,7 +9,7 @@ from src.core.config import MONGO_URI
 from src.server.deep_agent.agents.painter import build_painter_subagent
 from src.server.deep_agent.agents.researcher import build_researcher_subagent
 from src.server.deep_agent.agents.user_profile import user_profile_subagent
-from src.server.deep_agent.init_llm import main_llm
+from src.server.deep_agent.init_llm import build_main_llm
 from src.server.deep_agent.init_prompt import build_system_prompt
 
 client = MongoClient(MONGO_URI)
@@ -39,7 +39,7 @@ class CanvasMiddleware:
         return state, agent_input
 
 
-def build_main_agent(use_report, workspace_dir):
+def build_main_agent(use_report, workspace_dir, enable_thinking):
     research_subagent = build_researcher_subagent(workspace_dir)
     painter_subagent = build_painter_subagent(workspace_dir)
     subagents = [
@@ -48,7 +48,7 @@ def build_main_agent(use_report, workspace_dir):
         user_profile_subagent
     ]
     main_agent = create_deep_agent(
-        model=main_llm,
+        model=build_main_llm(enable_thinking=enable_thinking),
         system_prompt=build_system_prompt(use_report=use_report),
         subagents=subagents,
         checkpointer=checkpointer,
@@ -58,7 +58,7 @@ def build_main_agent(use_report, workspace_dir):
         ),
         middleware=[
             SummarizationMiddleware(
-                model=main_llm,
+                model=build_main_llm(enable_thinking=enable_thinking),
                 trigger=("tokens", 3000),
                 keep=("messages", 100),
             ),

src/server/deep_agent/init_llm.py

@@ -22,13 +22,18 @@ title_llm = ChatQwen(
     api_key=settings.QWEN_API_KEY
 )
 
-main_llm = ChatQwen(
-    model="qwen3.5-flash",
-    temperature=0.2,
-    max_tokens=3_000,
-    timeout=None,
-    max_retries=2,
-    api_key=settings.QWEN_API_KEY)
+
+def build_main_llm(enable_thinking):
+    main_llm = ChatQwen(
+        enable_thinking=enable_thinking,
+        model="qwen3.5-flash",
+        temperature=0.2,
+        max_tokens=3_000,
+        timeout=None,
+        max_retries=2,
+        api_key=settings.QWEN_API_KEY)
+    return main_llm
+
 
 suggested_llm = ChatQwen(
     model="qwen-plus",

src/server/deep_agent/tools/conversation_title_tool.py

@@ -22,8 +22,6 @@ async def conversation_title(agent, config):
 
         if user_msg and ai_msg:
             break
-    if not user_msg or not ai_msg:
-        return None
 
     prompt = f"""
     请根据以下首次对话内容，生成一个简洁、精准的标题（2-15个字）：