perf: template

client/src/constants/flow/index.ts

@@ -31,6 +31,10 @@ export enum FlowModuleTypeEnum {
   classifyQuestion = 'classifyQuestion'
 }
 
+export enum SpecialInputKeyEnum {
+  'answerText' = 'text'
+}
+
 export const initModuleType: Record<string, boolean> = {
   [FlowModuleTypeEnum.historyNode]: true,
   [FlowModuleTypeEnum.questionInput]: true
@@ -38,8 +42,8 @@ export const initModuleType: Record<string, boolean> = {
 
 export const edgeOptions = {
   style: {
-    strokeWidth: 1,
+    strokeWidth: 1.5,
     stroke: '#5A646Es'
   }
 };
-export const connectionLineStyle = { strokeWidth: 1, stroke: '#5A646Es' };
+export const connectionLineStyle = { strokeWidth: 1.5, stroke: '#5A646Es' };

client/src/pages/app/detail/components/Edit/components/modules/NodeCard.tsx

@@ -41,15 +41,19 @@ const NodeCard = ({
           </MyTooltip>
         )}
         <Box flex={1} />
-        <MyIcon
+        <Flex
           className={'nodrag'}
-          name="delete"
-          cursor={'pointer'}
+          w={'22px'}
+          h={'22px'}
+          alignItems={'center'}
+          justifyContent={'center'}
           color={'myGray.600'}
-          w={'16px'}
           _hover={{ color: 'red.600' }}
+          cursor={'pointer'}
           onClick={() => onDelNode(moduleId)}
-        />
+        >
+          <MyIcon name="delete" w={'16px'} />
+        </Flex>
       </Flex>
       {children}
     </Box>

client/src/pages/app/detail/components/Edit/index.tsx

@@ -283,7 +283,6 @@ const AppEdit = ({ app, fullScreen, onFullScreen }: Props) => {
   useEffect(() => {
     initData(JSON.parse(JSON.stringify(app)));
   }, [app, initData]);
-  console.log(flow2AppModules());
 
   return (
     <>

client/src/service/moduleDispatch/agent/classifyQuestion.ts

@@ -51,7 +51,7 @@ export const dispatchClassifyQuestion = async (props: Record<string, any>): Prom
   //   function body
   const agentFunction = {
     name: agentFunName,
-    description: '判断用户问题的类型，并返回指定值',
+    description: '判断用户问题的类型属于哪方面，返回对应的枚举字段',
     parameters: {
       type: 'object',
       properties: {
@@ -81,13 +81,9 @@ export const dispatchClassifyQuestion = async (props: Record<string, any>): Prom
 
   const arg = JSON.parse(response.data.choices?.[0]?.message?.function_call?.arguments || '');
 
-  if (!arg.type) {
-    throw new Error('');
-  }
-
   const tokens = response.data.usage?.total_tokens || 0;
 
-  const result = agents.find((item) => item.key === arg.type) || agents[0];
+  const result = agents.find((item) => item.key === arg?.type) || agents[0];
 
   return {
     [result.key]: 1,

client/src/service/utils/chat/index.ts

@@ -31,7 +31,7 @@ const simplifyStr = (str = '') =>
     .replace(/[^\S\r\n]+/g, ' ') // 连续空白内容
     .trim();
 
-/* 聊天上下文 tokens 截断 */
+/* slice chat context by tokens */
 export const ChatContextFilter = ({
   model,
   prompts,
@@ -41,33 +41,19 @@ export const ChatContextFilter = ({
   prompts: ChatItemType[];
   maxTokens: number;
 }) => {
-  const systemPrompts: ChatItemType[] = [];
-  const chatPrompts: ChatItemType[] = [];
+  const rawTextLen = prompts.reduce((sum, item) => sum + item.value.length, 0);
 
-  let rawTextLen = 0;
-  prompts.forEach((item) => {
-    const val = simplifyStr(item.value);
-    rawTextLen += val.length;
-
-    const data = {
-      _id: item._id,
-      obj: item.obj,
-      value: val
-    };
-
-    if (item.obj === ChatRoleEnum.System) {
-      systemPrompts.push(data);
-    } else {
-      chatPrompts.push(data);
-    }
-  });
-
-  // 长度太小时，不需要进行 token 截断
+  // If the text length is less than half of the maximum token, no calculation is required
   if (rawTextLen < maxTokens * 0.5) {
-    return [...systemPrompts, ...chatPrompts];
+    return prompts;
   }
 
-  // 去掉 system 的 token
+  // filter startWith system prompt
+  const chatStartIndex = prompts.findIndex((item) => item.obj !== ChatRoleEnum.System);
+  const systemPrompts: ChatItemType[] = prompts.slice(0, chatStartIndex);
+  const chatPrompts: ChatItemType[] = prompts.slice(chatStartIndex);
+
+  // reduce  token of systemPrompt
   maxTokens -= modelToolMap.countTokens({
     model,
     messages: systemPrompts

client/src/utils/app.ts

 import type { AppModuleInputItemType, AppModuleItemType, VariableItemType } from '@/types/app';
 import { chatModelList, vectorModelList } from '@/store/static';
-import { FlowModuleTypeEnum } from '@/constants/flow';
+import { FlowModuleTypeEnum, SpecialInputKeyEnum } from '@/constants/flow';
 import { SystemInputEnum } from '@/constants/app';
+import { TaskResponseKeyEnum } from '@/constants/chat';
 import type { SelectedKbType } from '@/types/plugin';
 
 export type EditFormType = {
@@ -128,7 +129,7 @@ export const appModules2Form = (modules: AppModuleItemType[]) => {
       if (emptyOutput) {
         const target = modules.find((item) => item.moduleId === emptyOutput.moduleId);
         defaultAppForm.kb.searchEmptyText =
-          target?.inputs?.find((item) => item.key === 'answerText')?.value || '';
+          target?.inputs?.find((item) => item.key === SpecialInputKeyEnum.answerText)?.value || '';
       }
     } else if (module.flowType === FlowModuleTypeEnum.userGuide) {
       const val =
@@ -174,6 +175,10 @@ const chatModelInput = (formData: EditFormType): AppModuleInputItemType[] => [
     connected: true
   },
   {
+    key: 'switch',
+    connected: formData.kb.list.length > 0
+  },
+  {
     key: 'quoteQA',
     connected: formData.kb.list.length > 0
   },
@@ -289,7 +294,7 @@ const simpleChatTemplate = (formData: EditFormType): AppModuleItemType[] => [
     inputs: chatModelInput(formData),
     outputs: [
       {
-        key: 'answerText',
+        key: TaskResponseKeyEnum.answerText,
         targets: []
       }
     ],
@@ -439,7 +444,7 @@ const kbTemplate = (formData: EditFormType): AppModuleItemType[] => [
               connected: true
             },
             {
-              key: 'answerText',
+              key: SpecialInputKeyEnum.answerText,
               value: formData.kb.searchEmptyText,
               connected: true
             }
@@ -458,7 +463,7 @@ const kbTemplate = (formData: EditFormType): AppModuleItemType[] => [
     inputs: chatModelInput(formData),
     outputs: [
       {
-        key: 'answerText',
+        key: TaskResponseKeyEnum.answerText,
         targets: []
       }
     ],