diff --git a/pkg/platform/sources/webchat.py b/pkg/platform/sources/webchat.py
index 6c148614..7fd54d1e 100644
--- a/pkg/platform/sources/webchat.py
+++ b/pkg/platform/sources/webchat.py
@@ -235,7 +235,7 @@ class WebChatAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
         message_chain.insert(0, platform_message.Source(id=message_id, time=datetime.now().timestamp()))
 
         if session_type == 'person':
-            sender = platform_entities.Friend(id='webchatperson', nickname='User')
+            sender = platform_entities.Friend(id='webchatperson', nickname='User', remark='User')
             event = platform_events.FriendMessage(
                 sender=sender, message_chain=message_chain, time=datetime.now().timestamp()
             )
diff --git a/pkg/provider/runners/localagent.py b/pkg/provider/runners/localagent.py
index f91a145c..4f0e933e 100644
--- a/pkg/provider/runners/localagent.py
+++ b/pkg/provider/runners/localagent.py
@@ -94,17 +94,19 @@ class LocalAgentRunner(runner.RequestRunner):
         except AttributeError:
             is_stream = False
 
-        remove_think = self.pipeline_config['output'].get('misc', '').get('remove-think')
+        remove_think = query.pipeline_config['output'].get('misc', '').get('remove-think')
+
+        use_llm_model = await self.ap.model_mgr.get_model_by_uuid(query.use_llm_model_uuid)
 
         if not is_stream:
             # 非流式输出，直接请求
 
-            msg = await query.use_llm_model.requester.invoke_llm(
+            msg = await use_llm_model.requester.invoke_llm(
                 query,
-                query.use_llm_model,
+                use_llm_model,
                 req_messages,
                 query.use_funcs,
-                extra_args=query.use_llm_model.model_entity.extra_args,
+                extra_args=use_llm_model.model_entity.extra_args,
                 remove_think=remove_think,
             )
             yield msg
@@ -116,12 +118,12 @@ class LocalAgentRunner(runner.RequestRunner):
             accumulated_content = ''  # 从开始累积的所有内容
             last_role = 'assistant'
             msg_sequence = 1
-            async for msg in query.use_llm_model.requester.invoke_llm_stream(
+            async for msg in use_llm_model.requester.invoke_llm_stream(
                 query,
-                query.use_llm_model,
+                use_llm_model,
                 req_messages,
                 query.use_funcs,
-                extra_args=query.use_llm_model.model_entity.extra_args,
+                extra_args=use_llm_model.model_entity.extra_args,
                 remove_think=remove_think,
             ):
                 msg_idx = msg_idx + 1
@@ -215,12 +217,12 @@ class LocalAgentRunner(runner.RequestRunner):
                 last_role = 'assistant'
                 msg_sequence = first_end_sequence
 
-                async for msg in query.use_llm_model.requester.invoke_llm_stream(
+                async for msg in use_llm_model.requester.invoke_llm_stream(
                     query,
-                    query.use_llm_model,
+                    use_llm_model,
                     req_messages,
                     query.use_funcs,
-                    extra_args=query.use_llm_model.model_entity.extra_args,
+                    extra_args=use_llm_model.model_entity.extra_args,
                     remove_think=remove_think,
                 ):
                     msg_idx += 1
@@ -271,12 +273,12 @@ class LocalAgentRunner(runner.RequestRunner):
                 )
             else:
                 # 处理完所有调用，再次请求
-                msg = await query.use_llm_model.requester.invoke_llm(
+                msg = await use_llm_model.requester.invoke_llm(
                     query,
-                    query.use_llm_model,
+                    use_llm_model,
                     req_messages,
                     query.use_funcs,
-                    extra_args=query.use_llm_model.model_entity.extra_args,
+                    extra_args=use_llm_model.model_entity.extra_args,
                     remove_think=remove_think,
                 )