diff --git a/src/backend/bisheng/api/services/assistant_agent.py b/src/backend/bisheng/api/services/assistant_agent.py
index 347607ef1..ab75dd0ee 100644
--- a/src/backend/bisheng/api/services/assistant_agent.py
+++ b/src/backend/bisheng/api/services/assistant_agent.py
@@ -63,6 +63,11 @@ def __init__(self, assistant_info: Assistant, chat_id: str):
         self.tools: List[BaseTool] = []
         self.offline_flows = []
         self.agent: ConfigurableAssistant | None = None
+        self.agent_executor_dict = {
+            'ReAct': 'get_react_agent_executor',
+            'function call': 'get_openai_functions_agent_executor',
+        }
+        self.current_agent_executor = None
         self.llm: BaseLanguageModel | None = None
         self.llm_agent_executor = None
         self.knowledge_skill_path = str(Path(__file__).parent / 'knowledge_skill.json')
@@ -281,6 +286,9 @@ async def init_agent(self):
         # 引入agent执行参数
         agent_executor_params = self.get_agent_executor()
         agent_executor_type = self.llm_agent_executor or agent_executor_params.pop('type')
+        self.current_agent_executor = agent_executor_type
+        # 做转换
+        agent_executor_type = self.agent_executor_dict.get(agent_executor_type, agent_executor_type)
 
         prompt = self.assistant.prompt
         if self.assistant.model_name.startswith("command-r"):
@@ -334,12 +342,6 @@ async def run(self, query: str, chat_history: List = None, callback: Callbacks =
         """
         运行智能体对话
         """
-        if chat_history:
-            chat_history.append(HumanMessage(content=query))
-            inputs = chat_history
-        else:
-            inputs = [HumanMessage(content=query)]
-
         # 假回调，将已下线的技能回调给前端
         for one in self.offline_flows:
             if callback is not None:
@@ -348,6 +350,14 @@ async def run(self, query: str, chat_history: List = None, callback: Callbacks =
                     'name': one,
                 }, input_str='flow if offline', run_id=run_id)
                 await callback[0].on_tool_end(output='flow is offline', name=one, run_id=run_id)
+        if self.current_agent_executor == 'ReAct':
+            return await self.react_run(query, chat_history, callback)
+
+        if chat_history:
+            chat_history.append(HumanMessage(content=query))
+            inputs = chat_history
+        else:
+            inputs = [HumanMessage(content=query)]
         result = await self.agent.ainvoke(inputs, config=RunnableConfig(callbacks=callback))
         # 包含了history，将history排除, 默认取最后一个为最终结果
         res = [result[-1]]
@@ -364,3 +374,15 @@ async def run(self, query: str, chat_history: List = None, callback: Callbacks =
             except Exception as e:
                 logger.error(f"record assistant history error: {str(e)}")
         return res
+
+    async def react_run(self, query: str, chat_history: List = None, callback: Callbacks = None):
+        """ react 模式的输入和执行 """
+        result = await self.agent.ainvoke({
+            'input': query,
+            'chat_history': chat_history
+        }, config=RunnableConfig(callbacks=callback))
+        print(result)
+        output = result['agent_outcome'].return_values['output']
+        if isinstance(output, dict):
+            output = output['text']
+        return [AIMessage(content=output)]
diff --git a/src/backend/bisheng/api/v2/assistant.py b/src/backend/bisheng/api/v2/assistant.py
new file mode 100644
index 000000000..eb237948c
--- /dev/null
+++ b/src/backend/bisheng/api/v2/assistant.py
@@ -0,0 +1,5 @@
+# 免登录的助手相关接口
+
+
+router = APIRouter(prefix='/chat', tags=['AssistantOpenApi'])
+
diff --git a/src/backend/bisheng/initdb_config.yaml b/src/backend/bisheng/initdb_config.yaml
index 1aa6adc5b..fe4dda86f 100644
--- a/src/backend/bisheng/initdb_config.yaml
+++ b/src/backend/bisheng/initdb_config.yaml
@@ -90,10 +90,9 @@ env:
 # 智能助手相关配置
 gpts:
   agent_executor:
-    # 默认agent的executor, 如果模型里有配置优先用模型的
-    type: 'get_openai_functions_agent_executor'
-    interrupt_before_action: False
-    recursion_limit: 50
+    # 默认agent的executor, 支持模型里单独配置对应的agent_executor_type; react/function call
+    type: 'function call'  # 支持function call的模型使用此agent配置
+    # type: 'ReAct'  # 不支持function call的模型使用此agent配置
   #  助手可选大模型列表，第一个为默认模型
   llms:
     - type: 'ChatOpenAI'
@@ -110,7 +109,7 @@ gpts:
       model_name: 'Qwen-1_8B-Chat'
       host_base_url: 'http://192.168.106.12:9001/v2.1/models/Qwen-1_8B-Chat/infer'
       temperature: 0.3
-      agent_executor_type: 'get_qwen_local_functions_agent_executor'
+      agent_executor_type: 'React'
   # 预置工具所需的配置
   tools:
     # 画图工具配置，引用公共的openai配置