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feat: chat status

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This commit is contained in:
archer
2023-08-04 18:14:36 +08:00
parent c7bfd773e3
commit 9a31407a01
16 changed files with 205 additions and 46 deletions
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1
client/public/locales/en/common.json
View File

@@ -3,6 +3,7 @@
"Cancel": "No",
"Confirm": "Yes",
"Warning": "Warning",
"Running": "Running",
"app": {
"App Detail": "App Detail",
"Confirm Del App Tip": "Confirm to delete the app and all its chats",

1
client/public/locales/zh/common.json
View File

@@ -3,6 +3,7 @@
"Cancel": "取消",
"Confirm": "确认",
"Warning": "提示",
"Running": "运行中",
"app": {
"App Detail": "应用详情",
"Confirm Del App Tip": "确认删除该应用及其所有聊天记录？",

11
client/src/api/fetch.ts
View File

@@ -2,11 +2,12 @@ import { sseResponseEventEnum, TaskResponseKeyEnum } from '@/constants/chat';
import { getErrText } from '@/utils/tools';
import { parseStreamChunk, SSEParseData } from '@/utils/sse';
import type { ChatHistoryItemResType } from '@/types/chat';
import { StartChatFnProps } from '@/components/ChatBox';
interface StreamFetchProps {
url?: string;
data: Record<string, any>;
onMessage: (text: string) => void;
onMessage: StartChatFnProps['generatingMessage'];
abortSignal: AbortController;
}
export const streamFetch = ({
@@ -71,8 +72,14 @@ export const streamFetch = ({
if (eventName === sseResponseEventEnum.answer && data !== '[DONE]') {
const answer: string = data?.choices?.[0].delta.content || '';
onMessage(answer);
onMessage({ text: answer });
responseText += answer;
} else if (
eventName === sseResponseEventEnum.moduleStatus &&
data?.name &&
data?.status
) {
onMessage(data);
} else if (
eventName === sseResponseEventEnum.appStreamResponse &&
Array.isArray(data)

13
client/src/components/ChatBox/index.module.scss
View File

@@ -28,3 +28,16 @@
}
}
}
.statusAnimation {
animation: statusBox 0.8s linear infinite alternate;
}
@keyframes statusBox {
0% {
opacity: 1;
}
100% {
opacity: 0.11;
}
}

62
client/src/components/ChatBox/index.tsx
View File

@@ -39,6 +39,7 @@ import { htmlTemplate } from '@/constants/common';
import { useRouter } from 'next/router';
import { useGlobalStore } from '@/store/global';
import { TaskResponseKeyEnum, getDefaultChatVariables } from '@/constants/chat';
import { useTranslation } from 'react-i18next';
import MyIcon from '@/components/Icon';
import Avatar from '@/components/Avatar';
@@ -51,11 +52,12 @@ const ResponseDetailModal = dynamic(() => import('./ResponseDetailModal'));
import styles from './index.module.scss';
const textareaMinH = '22px';
type generatingMessageProps = { text?: string; name?: string; status?: 'running' | 'finish' };
export type StartChatFnProps = {
messages: MessageItemType[];
controller: AbortController;
variables: Record<string, any>;
generatingMessage: (text: string) => void;
generatingMessage: (e: generatingMessageProps) => void;
};
export type ComponentRef = {
@@ -153,6 +155,7 @@ const ChatBox = (
const ChatBoxRef = useRef<HTMLDivElement>(null);
const theme = useTheme();
const router = useRouter();
const { t } = useTranslation();
const { copyData } = useCopyData();
const { toast } = useToast();
const { isPc } = useGlobalStore();
@@ -164,7 +167,9 @@ const ChatBox = (
const [chatHistory, setChatHistory] = useState<ChatSiteItemType[]>([]);
const isChatting = useMemo(
() => chatHistory[chatHistory.length - 1]?.status === 'loading',
() =>
chatHistory[chatHistory.length - 1] &&
chatHistory[chatHistory.length - 1]?.status !== 'finish',
[chatHistory]
);
const variableIsFinish = useMemo(() => {
@@ -209,13 +214,23 @@ const ChatBox = (
);
// eslint-disable-next-line react-hooks/exhaustive-deps
const generatingMessage = useCallback(
(text: string) => {
({ text = '', status, name }: generatingMessageProps) => {
setChatHistory((state) =>
state.map((item, index) => {
if (index !== state.length - 1) return item;
return {
...item,
value: item.value + text
...(text
? {
value: item.value + text
}
: {}),
...(status && name
? {
status,
moduleName: name
}
: {})
};
})
);
@@ -418,6 +433,21 @@ const ChatBox = (
!welcomeText,
[chatHistory.length, showEmptyIntro, variableModules, welcomeText]
);
const statusBoxData = useMemo(() => {
const colorMap = {
loading: '#67c13b',
running: '#67c13b',
finish: 'myBlue.600'
};
if (!isChatting) return;
const chatContent = chatHistory[chatHistory.length - 1];
if (!chatContent) return;
return {
bg: colorMap[chatContent.status] || colorMap.loading,
name: t(chatContent.moduleName || 'Running')
};
}, [chatHistory, isChatting, t]);
useEffect(() => {
return () => {
@@ -595,7 +625,7 @@ const ChatBox = (
)}
{item.obj === 'AI' && (
<>
<Flex w={'100%'} alignItems={'center'}>
<Flex w={'100%'} alignItems={'flex-end'}>
<ChatAvatar src={appAvatar} type={'AI'} />
<Flex {...controlContainerStyle} ml={3}>
<MyTooltip label={'复制'}>
@@ -635,6 +665,28 @@ const ChatBox = (
</MyTooltip>
)}
</Flex>
{statusBoxData && index === chatHistory.length - 1 && (
<Flex
ml={3}
alignItems={'center'}
px={3}
py={'1px'}
borderRadius="md"
border={theme.borders.base}
>
<Box
className={styles.statusAnimation}
bg={statusBoxData.bg}
w="8px"
h="8px"
borderRadius={'50%'}
mt={'1px'}
></Box>
<Box ml={2} color={'myGray.600'}>
{statusBoxData.name}
</Box>
</Flex>
)}
</Flex>
<Box position={'relative'} maxW={messageCardMaxW} mt={['6px', 2]}>
<Card bg={'white'} {...MessageCardStyle}>

2
client/src/components/Markdown/index.tsx
View File

@@ -1,4 +1,4 @@
import React, { useMemo, useRef } from 'react';
import React, { useMemo } from 'react';
import ReactMarkdown from 'react-markdown';
import RemarkGfm from 'remark-gfm';
import RemarkMath from 'remark-math';

5
client/src/constants/chat.ts
View File

@@ -3,9 +3,8 @@ import dayjs from 'dayjs';
export enum sseResponseEventEnum {
error = 'error',
answer = 'answer',
chatResponse = 'chatResponse', //
appStreamResponse = 'appStreamResponse', // sse response request
moduleFetchResponse = 'moduleFetchResponse' // http module sse response
moduleStatus = 'moduleStatus',
appStreamResponse = 'appStreamResponse' // sse response request
}
export enum ChatRoleEnum {

83
client/src/constants/flow/ModuleTemplate.ts
View File

@@ -114,6 +114,7 @@ export const ChatModule: FlowModuleTemplateType = {
name: 'AI 对话',
intro: 'AI 大模型对话',
flowType: FlowModuleTypeEnum.chatNode,
showStatus: true,
inputs: [
{
key: 'model',
@@ -203,6 +204,7 @@ export const KBSearchModule: FlowModuleTemplateType = {
name: '知识库搜索',
intro: '去知识库中搜索对应的答案。可作为 AI 对话引用参考。',
flowType: FlowModuleTypeEnum.kbSearchNode,
showStatus: true,
inputs: [
{
key: 'kbList',
@@ -321,6 +323,7 @@ export const ClassifyQuestionModule: FlowModuleTemplateType = {
description:
'根据用户的历史记录和当前问题判断该次提问的类型。可以添加多组问题类型，下面是一个模板例子：\n类型1: 打招呼\n类型2: 关于 laf 通用问题\n类型3: 关于 laf 代码问题\n类型4: 其他问题',
flowType: FlowModuleTypeEnum.classifyQuestion,
showStatus: true,
inputs: [
{
key: 'systemPrompt',
@@ -381,6 +384,7 @@ export const ContextExtractModule: FlowModuleTemplateType = {
intro: '从文本中提取出指定格式的数据',
description: '可从文本中提取指定的数据，例如：sql语句、搜索关键词、代码等',
flowType: FlowModuleTypeEnum.contentExtract,
showStatus: true,
inputs: [
Input_Template_TFSwitch,
{
@@ -441,6 +445,7 @@ export const HttpModule: FlowModuleTemplateType = {
intro: '可以发出一个 HTTP POST 请求，实现更为复杂的操作（联网搜索、数据库查询等）',
description: '可以发出一个 HTTP POST 请求，实现更为复杂的操作（联网搜索、数据库查询等）',
flowType: FlowModuleTypeEnum.httpRequest,
showStatus: true,
inputs: [
{
key: HttpPropsEnum.url,
@@ -507,10 +512,11 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
modules: [
{
moduleId: 'userChatInput',
name: '用户问题(对话入口)',
flowType: 'questionInput',
position: {
x: 506.7143912167368,
y: 1601.0230108651226
x: 464.32198615344566,
y: 1602.2698463081606
},
inputs: [
{
@@ -537,6 +543,7 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
},
{
moduleId: 'history',
name: '聊天记录',
flowType: 'historyNode',
position: {
x: 452.5466249541586,
@@ -576,17 +583,19 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
},
{
moduleId: 'chatModule',
name: 'AI 对话',
flowType: 'chatNode',
showStatus: true,
position: {
x: 998.0312473867093,
y: 803.8586941051353
x: 1150.8317145593148,
y: 957.9676672880053
},
inputs: [
{
key: 'model',
type: 'custom',
label: '对话模型',
value: 'gpt-3.5-turbo',
value: 'gpt-3.5-turbo-16k',
list: [],
connected: true
},
@@ -614,9 +623,9 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
key: 'maxToken',
type: 'custom',
label: '回复上限',
value: 2000,
value: 8000,
min: 100,
max: 4000,
max: 16000,
step: 50,
markList: [
{
@@ -624,8 +633,8 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
value: 100
},
{
label: '4000',
value: 4000
label: '16000',
value: 16000
}
],
connected: true
@@ -712,6 +721,7 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
modules: [
{
moduleId: 'userGuide',
name: '用户引导',
flowType: 'userGuide',
position: {
x: 454.98510354678695,
@@ -730,6 +740,7 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
},
{
moduleId: 'userChatInput',
name: '用户问题(对话入口)',
flowType: 'questionInput',
position: {
x: 464.32198615344566,
@@ -764,6 +775,7 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
},
{
moduleId: 'history',
name: '聊天记录',
flowType: 'historyNode',
position: {
x: 452.5466249541586,
@@ -803,7 +815,9 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
},
{
moduleId: 'kbSearch',
name: '知识库搜索',
flowType: 'kbSearchNode',
showStatus: true,
position: {
x: 956.0838440206068,
y: 887.462827870246
@@ -916,7 +930,9 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
},
{
moduleId: 'chatModule',
name: 'AI 对话',
flowType: 'chatNode',
showStatus: true,
position: {
x: 1546.0823206390796,
y: 1008.9827344021824
@@ -926,7 +942,7 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
key: 'model',
type: 'custom',
label: '对话模型',
value: 'gpt-3.5-turbo',
value: 'gpt-3.5-turbo-16k',
list: [],
connected: true
},
@@ -954,9 +970,9 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
key: 'maxToken',
type: 'custom',
label: '回复上限',
value: 2000,
value: 8000,
min: 100,
max: 4000,
max: 16000,
step: 50,
markList: [
{
@@ -964,8 +980,8 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
value: 100
},
{
label: '4000',
value: 4000
label: '16000',
value: 16000
}
],
connected: true
@@ -1044,6 +1060,7 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
},
{
moduleId: '2752oj',
name: '指定回复',
flowType: 'answerNode',
position: {
x: 1542.9271243684725,
@@ -1080,6 +1097,7 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
modules: [
{
moduleId: 'userGuide',
name: '用户引导',
flowType: 'userGuide',
position: {
x: 447.98520778293346,
@@ -1098,6 +1116,7 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
},
{
moduleId: 'variable',
name: '全局变量',
flowType: 'variable',
position: {
x: 444.0369195277651,
@@ -1146,6 +1165,7 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
},
{
moduleId: 'userChatInput',
name: '用户问题(对话入口)',
flowType: 'questionInput',
position: {
x: 464.32198615344566,
@@ -1176,6 +1196,7 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
},
{
moduleId: 'history',
name: '聊天记录',
flowType: 'historyNode',
position: {
x: 452.5466249541586,
@@ -1215,7 +1236,9 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
},
{
moduleId: 'chatModule',
name: 'AI 对话',
flowType: 'chatNode',
showStatus: true,
position: {
x: 981.9682828103937,
y: 890.014595014464
@@ -1225,7 +1248,7 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
key: 'model',
type: 'custom',
label: '对话模型',
value: 'gpt-3.5-turbo',
value: 'gpt-3.5-turbo-16k',
list: [],
connected: true
},
@@ -1253,9 +1276,9 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
key: 'maxToken',
type: 'custom',
label: '回复上限',
value: 2000,
value: 8000,
min: 100,
max: 4000,
max: 16000,
step: 50,
markList: [
{
@@ -1263,8 +1286,8 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
value: 100
},
{
label: '4000',
value: 4000
label: '16000',
value: 16000
}
],
connected: true
@@ -1351,6 +1374,7 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
modules: [
{
moduleId: '7z5g5h',
name: '用户问题(对话入口)',
flowType: 'questionInput',
position: {
x: 198.56612928723575,
@@ -1389,6 +1413,7 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
},
{
moduleId: 'xj0c9p',
name: '聊天记录',
flowType: 'historyNode',
position: {
x: 194.99102398958047,
@@ -1428,7 +1453,9 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
},
{
moduleId: 'remuj3',
name: '问题分类',
flowType: 'classifyQuestion',
showStatus: true,
position: {
x: 672.9092284362648,
y: 1077.557793775116
@@ -1535,6 +1562,7 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
},
{
moduleId: 'a99p6z',
name: '指定回复',
flowType: 'answerNode',
position: {
x: 1304.2886011902247,
@@ -1563,6 +1591,7 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
},
{
moduleId: 'iejcou',
name: '指定回复',
flowType: 'answerNode',
position: {
x: 1294.2531189034548,
@@ -1591,7 +1620,9 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
},
{
moduleId: 'nlfwkc',
name: 'AI 对话',
flowType: 'chatNode',
showStatus: true,
position: {
x: 1821.979893659983,
y: 1104.6583548423682
@@ -1720,6 +1751,7 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
},
{
moduleId: 's4v9su',
name: '聊天记录',
flowType: 'historyNode',
position: {
x: 193.3803955457983,
@@ -1759,22 +1791,20 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
},
{
moduleId: 'fljhzy',
name: '知识库搜索',
flowType: 'kbSearchNode',
showStatus: true,
position: {
x: 1305.5374262228029,
y: 1120.0404921820218
},
inputs: [
{
key: 'kbList',
type: 'custom',
label: '关联的知识库',
value: [
{
kbId: '646627f4f7b896cfd8910e24'
}
],
list: [],
key: 'kbList',
value: [],
connected: true
},
{
@@ -1876,6 +1906,7 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
},
{
moduleId: 'q9equb',
name: '用户引导',
flowType: 'userGuide',
position: {
x: 191.4857498376603,
@@ -1895,6 +1926,7 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
},
{
moduleId: 'tc90wz',
name: '指定回复',
flowType: 'answerNode',
position: {
x: 1828.4596416688908,
@@ -1923,6 +1955,7 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
},
{
moduleId: '5v78ap',
name: '指定回复',
flowType: 'answerNode',
position: {
x: 1294.814522053934,

40
client/src/pages/api/openapi/v1/chat/completions.ts
View File

@@ -116,10 +116,12 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
}
// 创建响应流
res.setHeader('Content-Type', 'text/event-stream;charset=utf-8');
res.setHeader('Access-Control-Allow-Origin', '*');
res.setHeader('X-Accel-Buffering', 'no');
res.setHeader('Cache-Control', 'no-cache, no-transform');
if (stream) {
res.setHeader('Content-Type', 'text/event-stream;charset=utf-8');
res.setHeader('Access-Control-Allow-Origin', '*');
res.setHeader('X-Accel-Buffering', 'no');
res.setHeader('Cache-Control', 'no-cache, no-transform');
}
/* start process */
const { responseData, answerText } = await dispatchModules({
@@ -320,6 +322,14 @@ export async function dispatchModules({
if (res.closed) return Promise.resolve();
console.log('run=========', module.flowType);
if (stream && module.showStatus) {
responseStatus({
res,
name: module.name,
status: 'running'
});
}
// get fetch params
const params: Record<string, any> = {};
module.inputs.forEach((item: any) => {
@@ -370,7 +380,9 @@ function loadModules(
return modules.map((module) => {
return {
moduleId: module.moduleId,
name: module.name,
flowType: module.flowType,
showStatus: module.showStatus,
inputs: module.inputs
.filter((item) => item.connected) // filter unconnected target input
.map((item) => {
@@ -401,3 +413,23 @@ function loadModules(
};
});
}
function responseStatus({
res,
status,
name
}: {
res: NextApiResponse;
status: 'running' | 'finish';
name?: string;
}) {
if (!name) return;
sseResponse({
res,
event: sseResponseEventEnum.moduleStatus,
data: JSON.stringify({
status,
name
})
});
}

5
client/src/pages/app/detail/components/AdEdit/components/TemplateList.tsx
View File

@@ -1,10 +1,9 @@
import React, { useMemo } from 'react';
import { Box, Flex } from '@chakra-ui/react';
import { ModuleTemplates } from '@/constants/flow/ModuleTemplate';
import { FlowModuleTemplateType } from '@/types/flow';
import { FlowModuleItemType, FlowModuleTemplateType } from '@/types/flow';
import type { Node, XYPosition } from 'reactflow';
import { useGlobalStore } from '@/store/global';
import type { AppModuleItemType } from '@/types/app';
import Avatar from '@/components/Avatar';
import { FlowModuleTypeEnum } from '@/constants/flow';
@@ -14,7 +13,7 @@ const ModuleTemplateList = ({
onAddNode,
onClose
}: {
nodes?: Node<AppModuleItemType>[];
nodes?: Node<FlowModuleItemType>[];
isOpen: boolean;
onAddNode: (e: { template: FlowModuleTemplateType; position: XYPosition }) => void;
onClose: () => void;

2
client/src/pages/app/detail/components/AdEdit/index.tsx
View File

@@ -158,7 +158,9 @@ const AppEdit = ({ app, fullScreen, onFullScreen }: Props) => {
const flow2AppModules = useCallback(() => {
const modules: AppModuleItemType[] = nodes.map((item) => ({
moduleId: item.data.moduleId,
name: item.data.name,
flowType: item.data.flowType,
showStatus: item.data.showStatus,
position: item.position,
inputs: item.data.inputs.map((item) => ({
...item,

3
client/src/service/moduleDispatch/agent/extract.ts
View File

@@ -34,6 +34,9 @@ export async function dispatchContentExtract({
history = [],
description
}: Props): Promise<Response> {
if (!content) {
return Promise.reject('Input is empty');
}
const messages: ChatItemType[] = [
...history,
{

9
client/src/types/app.d.ts vendored
View File

@@ -69,9 +69,11 @@ export type VariableItemType = {
/* app module */
export type AppModuleItemType = {
name: string;
moduleId: string;
position?: XYPosition;
flowType: `${FlowModuleTypeEnum}`;
showStatus?: boolean;
inputs: FlowInputItemType[];
outputs: FlowOutputItemType[];
};
@@ -83,8 +85,11 @@ export type AppItemType = {
};
export type RunningModuleItemType = {
moduleId: string;
flowType: `${FlowModuleTypeEnum}`;
name: AppModuleItemType['name'];
moduleId: AppModuleItemType['moduleId'];
flowType: AppModuleItemType['flowType'];
showStatus?: AppModuleItemType['showStatus'];
} & {
inputs: {
key: string;
value?: any;

3
client/src/types/chat.d.ts vendored
View File

@@ -13,7 +13,8 @@ export type ChatItemType = {
};
export type ChatSiteItemType = {
status: 'loading' | 'finish';
status: 'loading' | 'running' | 'finish';
moduleName?: string;
} & ChatItemType;
export type HistoryItemType = {

1
client/src/types/flow.d.ts vendored
View File

@@ -55,6 +55,7 @@ export type FlowModuleTemplateType = {
flowType: `${FlowModuleTypeEnum}`;
inputs: FlowInputItemType[];
outputs: FlowOutputItemType[];
showStatus?: boolean;
};
export type FlowModuleItemType = FlowModuleTemplateType & {
moduleId: string;

10
client/src/utils/app.ts
View File

@@ -219,6 +219,7 @@ const welcomeTemplate = (formData: EditFormType): AppModuleItemType[] =>
formData.guide?.welcome?.text
? [
{
name: '用户引导',
flowType: FlowModuleTypeEnum.userGuide,
inputs: [
{
@@ -242,6 +243,7 @@ const variableTemplate = (formData: EditFormType): AppModuleItemType[] =>
formData.variables.length > 0
? [
{
name: '全局变量',
flowType: FlowModuleTypeEnum.variable,
inputs: [
{
@@ -263,6 +265,7 @@ const variableTemplate = (formData: EditFormType): AppModuleItemType[] =>
: [];
const simpleChatTemplate = (formData: EditFormType): AppModuleItemType[] => [
{
name: '用户问题(对话入口)',
flowType: FlowModuleTypeEnum.questionInput,
inputs: [
{
@@ -290,6 +293,7 @@ const simpleChatTemplate = (formData: EditFormType): AppModuleItemType[] => [
moduleId: 'userChatInput'
},
{
name: '聊天记录',
flowType: FlowModuleTypeEnum.historyNode,
inputs: [
{
@@ -324,6 +328,7 @@ const simpleChatTemplate = (formData: EditFormType): AppModuleItemType[] => [
moduleId: 'history'
},
{
name: 'AI 对话',
flowType: FlowModuleTypeEnum.chatNode,
inputs: chatModelInput(formData),
outputs: [
@@ -352,6 +357,7 @@ const simpleChatTemplate = (formData: EditFormType): AppModuleItemType[] => [
];
const kbTemplate = (formData: EditFormType): AppModuleItemType[] => [
{
name: '用户问题(对话入口)',
flowType: FlowModuleTypeEnum.questionInput,
inputs: [
{
@@ -383,6 +389,7 @@ const kbTemplate = (formData: EditFormType): AppModuleItemType[] => [
moduleId: 'userChatInput'
},
{
name: '聊天记录',
flowType: FlowModuleTypeEnum.historyNode,
inputs: [
{
@@ -417,6 +424,7 @@ const kbTemplate = (formData: EditFormType): AppModuleItemType[] => [
moduleId: 'history'
},
{
name: '知识库搜索',
flowType: FlowModuleTypeEnum.kbSearchNode,
inputs: [
{
@@ -498,6 +506,7 @@ const kbTemplate = (formData: EditFormType): AppModuleItemType[] => [
...(formData.kb.searchEmptyText
? [
{
name: '指定回复',
flowType: FlowModuleTypeEnum.answerNode,
inputs: [
{
@@ -525,6 +534,7 @@ const kbTemplate = (formData: EditFormType): AppModuleItemType[] => [
]
: []),
{
name: 'AI 对话',
flowType: FlowModuleTypeEnum.chatNode,
inputs: chatModelInput(formData),
outputs: [