perf: minor fixes

pkg/platform/sources/webchat.yaml

@@ -10,17 +10,7 @@ metadata:
     zh_Hans: "用于流水线调试的网页聊天适配器"
   icon: ""
 spec:
-  config:
-    - name: enable-stream-reply
-      label:
-        en_US: Enable Stream Reply Mode
-        zh_Hans: 启用电报流式回复模式
-      description:
-        en_US: If enabled, the bot will use the stream of telegram reply mode
-        zh_Hans: 如果启用，将使用电报流式方式来回复内容
-      type: boolean
-      required: true
-      default: false
+  config: []
 execution:
   python:
     path: "webchat.py"

pkg/provider/entities.py

@@ -148,8 +148,6 @@ class MessageChunk(pydantic.BaseModel):
 
     tool_call_id: typing.Optional[str] = None
 
-    # tool_calls: typing.Optional[list[ToolCallChunk]] = None
-
     is_final: bool = False
 
     def readable_str(self) -> str:

pkg/provider/modelmgr/requester.py

@@ -98,7 +98,6 @@ class ProviderAPIRequester(metaclass=abc.ABCMeta):
         """
         pass
 
-    @abc.abstractmethod
     async def invoke_llm_stream(
         self,
         query: core_entities.Query,

pkg/provider/runners/localagent.py

@@ -116,7 +116,6 @@ class LocalAgentRunner(runner.RequestRunner):
                 query.use_llm_model,
                 req_messages,
                 query.use_funcs,
-                stream=is_stream,
                 extra_args=query.use_llm_model.model_entity.extra_args,
             ):  
                 assert isinstance(msg, llm_entities.MessageChunk)
@@ -178,10 +177,8 @@ class LocalAgentRunner(runner.RequestRunner):
                     query.use_llm_model,
                     req_messages,
                     query.use_funcs,
-                    stream=is_stream,
                     extra_args=query.use_llm_model.model_entity.extra_args, 
                 ):  
-                    assert isinstance(msg, llm_entities.MessageChunk)
                     yield msg
                 if msg.tool_calls:
                     for tool_call in msg.tool_calls:

templates/metadata/pipeline/trigger.yaml

@@ -134,8 +134,11 @@ stages:
         default: true
       - name: remove_think
         label:
-          en_US: remove think
-          zh_Hans: 删除深度思考消息
+          en_US: Remove CoT
+          zh_Hans: 删除思维链
+        description:
+          en_US: If enabled, LangBot will remove the LLM thought content in response
+          zh_Hans: 如果启用，将自动删除大模型回复中的模型思考内容
         type: boolean
         required: true
         default: true

web/src/app/home/pipelines/components/debug-dialog/DebugDialog.tsx

@@ -190,7 +190,7 @@ export default function DebugDialog({
         const botMessage: Message = {
           id: -1,
           role: 'assistant',
-          content: '生成中...',
+          content: 'Generating...',
           timestamp: new Date().toISOString(),
           message_chain: [{ type: 'Plain', text: '' }],
         };
@@ -216,6 +216,7 @@ export default function DebugDialog({
             selectedPipelineId,
             (data) => {
               // 处理流式响应数据
+              console.log('data', data);
               if (data.message) {
                 // 更新完整内容
                 fullContent = data.message.content;
@@ -231,8 +232,11 @@ export default function DebugDialog({
 
                 typingInterval = setInterval(() => {
                   if (currentPos < targetContent.length) {
-                    displayContent = targetContent.substring(0, currentPos + 1);
-                    currentPos++;
+                    displayContent = targetContent.substring(
+                      0,
+                      currentPos + 10,
+                    );
+                    currentPos += 10;
 
                     // 更新bot消息
                     setMessages((prevMessages) => {
@@ -255,7 +259,7 @@ export default function DebugDialog({
                   } else {
                     clearInterval(typingInterval);
                   }
-                }, 30); // 调整这个值可以改变打字速度
+                }, 1); // 调整这个值可以改变打字速度
               }
             },
             () => {