mirror of
https://github.com/labring/FastGPT.git
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1989 lines
55 KiB
TypeScript
1989 lines
55 KiB
TypeScript
import { SystemInputEnum } from '../app';
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import { TaskResponseKeyEnum } from '../chat';
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import {
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FlowModuleTypeEnum,
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FlowInputItemTypeEnum,
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FlowOutputItemTypeEnum,
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SpecialInputKeyEnum,
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FlowValueTypeEnum
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} from './index';
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import type { AppItemType } from '@/types/app';
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import type { FlowModuleTemplateType } from '@/types/flow';
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import { chatModelList } from '@/store/static';
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import {
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Input_Template_History,
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Input_Template_TFSwitch,
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Input_Template_UserChatInput
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} from './inputTemplate';
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import { ContextExtractEnum, HttpPropsEnum } from './flowField';
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export const ChatModelSystemTip =
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'模型固定的引导词，通过调整该内容，可以引导模型聊天方向。该内容会被固定在上下文的开头。可使用变量，例如 {{language}}';
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export const ChatModelLimitTip =
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'限定模型对话范围，会被放置在本次提问前，拥有强引导和限定性。可使用变量，例如 {{language}}。引导例子:\n1. 知识库是关于 Laf 的介绍，参考知识库回答问题，与 "Laf" 无关内容，直接回复: "我不知道"。\n2. 你仅回答关于 "xxx" 的问题，其他问题回复: "xxxx"';
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export const userGuideTip = '可以添加特殊的对话前后引导模块，更好的让用户进行对话';
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export const welcomeTextTip =
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'每次对话开始前，发送一个初始内容。支持标准 Markdown 语法，可使用的额外标记:\n[快捷按键]: 用户点击后可以直接发送该问题';
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export const VariableModule: FlowModuleTemplateType = {
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logo: '/imgs/module/variable.png',
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name: '全局变量',
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intro: '可以在对话开始前，要求用户填写一些内容作为本轮对话的变量。该模块位于开场引导之后。',
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description:
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'全局变量可以通过 {{变量key}} 的形式注入到其他模块 string 类型的输入中，例如：提示词、限定词等',
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flowType: FlowModuleTypeEnum.variable,
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inputs: [
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{
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key: SystemInputEnum.variables,
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type: FlowInputItemTypeEnum.systemInput,
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label: '变量输入',
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value: []
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}
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],
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outputs: []
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};
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export const UserGuideModule: FlowModuleTemplateType = {
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logo: '/imgs/module/userGuide.png',
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name: '用户引导',
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intro: userGuideTip,
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flowType: FlowModuleTypeEnum.userGuide,
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inputs: [
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{
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key: SystemInputEnum.welcomeText,
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type: FlowInputItemTypeEnum.input,
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label: '开场白'
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}
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],
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outputs: []
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};
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export const UserInputModule: FlowModuleTemplateType = {
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logo: '/imgs/module/userChatInput.png',
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name: '用户问题(对话入口)',
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intro: '用户输入的内容。该模块通常作为应用的入口，用户在发送消息后会首先执行该模块。',
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flowType: FlowModuleTypeEnum.questionInput,
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inputs: [
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{
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key: SystemInputEnum.userChatInput,
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type: FlowInputItemTypeEnum.systemInput,
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label: '用户问题'
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}
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],
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outputs: [
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{
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key: SystemInputEnum.userChatInput,
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label: '用户问题',
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type: FlowOutputItemTypeEnum.source,
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valueType: FlowValueTypeEnum.string,
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targets: []
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}
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]
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};
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export const HistoryModule: FlowModuleTemplateType = {
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logo: '/imgs/module/history.png',
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name: '聊天记录',
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intro: '用户输入的内容。该模块通常作为应用的入口，用户在发送消息后会首先执行该模块。',
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flowType: FlowModuleTypeEnum.historyNode,
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inputs: [
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{
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key: 'maxContext',
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type: FlowInputItemTypeEnum.numberInput,
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label: '最长记录数',
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value: 6,
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min: 0,
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max: 50
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},
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{
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key: SystemInputEnum.history,
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type: FlowInputItemTypeEnum.hidden,
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label: '聊天记录'
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}
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],
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outputs: [
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{
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key: SystemInputEnum.history,
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label: '聊天记录',
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valueType: FlowValueTypeEnum.chatHistory,
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type: FlowOutputItemTypeEnum.source,
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targets: []
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}
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]
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};
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export const ChatModule: FlowModuleTemplateType = {
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logo: '/imgs/module/AI.png',
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name: 'AI 对话',
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intro: 'AI 大模型对话',
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flowType: FlowModuleTypeEnum.chatNode,
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showStatus: true,
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inputs: [
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{
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key: 'model',
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type: FlowInputItemTypeEnum.custom,
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label: '对话模型',
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value: chatModelList[0]?.model,
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list: chatModelList.map((item) => ({ label: item.name, value: item.model }))
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},
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{
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key: 'temperature',
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type: FlowInputItemTypeEnum.slider,
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label: '温度',
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value: 0,
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min: 0,
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max: 10,
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step: 1,
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markList: [
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{ label: '严谨', value: 0 },
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{ label: '发散', value: 10 }
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]
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},
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{
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key: 'maxToken',
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type: FlowInputItemTypeEnum.custom,
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label: '回复上限',
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value: chatModelList[0] ? chatModelList[0].contextMaxToken / 2 : 2000,
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min: 100,
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max: chatModelList[0]?.contextMaxToken || 4000,
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step: 50,
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markList: [
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{ label: '100', value: 100 },
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{
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label: `${chatModelList[0]?.contextMaxToken || 4000}`,
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value: chatModelList[0]?.contextMaxToken || 4000
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}
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]
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},
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{
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key: 'systemPrompt',
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type: FlowInputItemTypeEnum.textarea,
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label: '系统提示词',
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valueType: FlowValueTypeEnum.string,
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description: ChatModelSystemTip,
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placeholder: ChatModelSystemTip
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},
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{
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key: 'limitPrompt',
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type: FlowInputItemTypeEnum.textarea,
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valueType: FlowValueTypeEnum.string,
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label: '限定词',
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description: ChatModelLimitTip,
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placeholder: ChatModelLimitTip
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},
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Input_Template_TFSwitch,
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{
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key: 'quoteQA',
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type: FlowInputItemTypeEnum.target,
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label: '引用内容',
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valueType: FlowValueTypeEnum.kbQuote
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},
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Input_Template_History,
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Input_Template_UserChatInput
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],
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outputs: [
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{
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key: TaskResponseKeyEnum.answerText,
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label: '模型回复',
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description: '直接响应，无需配置',
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type: FlowOutputItemTypeEnum.hidden,
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targets: []
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},
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{
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key: 'finish',
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label: '回复结束',
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description: 'AI 回复完成后触发',
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valueType: FlowValueTypeEnum.boolean,
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type: FlowOutputItemTypeEnum.source,
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targets: []
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}
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]
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};
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export const KBSearchModule: FlowModuleTemplateType = {
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logo: '/imgs/module/db.png',
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name: '知识库搜索',
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intro: '去知识库中搜索对应的答案。可作为 AI 对话引用参考。',
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flowType: FlowModuleTypeEnum.kbSearchNode,
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showStatus: true,
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inputs: [
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{
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key: 'kbList',
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type: FlowInputItemTypeEnum.custom,
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label: '关联的知识库',
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value: [],
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list: []
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},
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{
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key: 'similarity',
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type: FlowInputItemTypeEnum.slider,
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label: '相似度',
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value: 0.8,
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min: 0,
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max: 1,
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step: 0.01,
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markList: [
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{ label: '100', value: 100 },
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{ label: '1', value: 1 }
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]
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},
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{
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key: 'limit',
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type: FlowInputItemTypeEnum.slider,
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label: '单次搜索上限',
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description: '最多取 n 条记录作为本次问题引用',
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value: 5,
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min: 1,
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max: 20,
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step: 1,
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markList: [
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{ label: '1', value: 1 },
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{ label: '20', value: 20 }
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]
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},
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Input_Template_TFSwitch,
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Input_Template_UserChatInput
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],
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outputs: [
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{
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key: 'isEmpty',
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label: '搜索结果为空',
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type: FlowOutputItemTypeEnum.source,
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valueType: FlowValueTypeEnum.boolean,
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targets: []
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},
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{
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key: 'unEmpty',
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label: '搜索结果不为空',
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type: FlowOutputItemTypeEnum.source,
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valueType: FlowValueTypeEnum.boolean,
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targets: []
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},
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{
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key: 'quoteQA',
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label: '引用内容',
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description:
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'始终返回数组，如果希望搜索结果为空时执行额外操作，需要用到上面的两个输入以及目标模块的触发器',
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type: FlowOutputItemTypeEnum.source,
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valueType: FlowValueTypeEnum.kbQuote,
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targets: []
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}
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]
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};
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export const AnswerModule: FlowModuleTemplateType = {
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logo: '/imgs/module/reply.png',
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name: '指定回复',
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intro: '该模块可以直接回复一段指定的内容。常用于引导、提示',
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description: '该模块可以直接回复一段指定的内容。常用于引导、提示',
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flowType: FlowModuleTypeEnum.answerNode,
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inputs: [
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Input_Template_TFSwitch,
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{
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key: SpecialInputKeyEnum.answerText,
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value: '',
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type: FlowInputItemTypeEnum.textarea,
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valueType: FlowValueTypeEnum.string,
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label: '回复的内容',
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description:
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'可以使用 \\n 来实现换行。也可以通过外部模块输入实现回复，外部模块输入时会覆盖当前填写的内容'
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}
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],
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outputs: []
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};
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export const TFSwitchModule: FlowModuleTemplateType = {
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logo: '',
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name: 'TF开关',
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intro: '可以判断输入的内容为 True 或者 False，从而执行不同操作。',
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flowType: FlowModuleTypeEnum.tfSwitchNode,
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inputs: [
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{
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key: SystemInputEnum.switch,
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type: FlowInputItemTypeEnum.target,
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label: '输入'
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}
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],
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outputs: [
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{
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key: 'true',
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label: 'True',
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type: FlowOutputItemTypeEnum.source,
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targets: []
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},
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{
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key: 'false',
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label: 'False',
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type: FlowOutputItemTypeEnum.source,
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targets: []
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}
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]
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};
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export const ClassifyQuestionModule: FlowModuleTemplateType = {
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logo: '/imgs/module/cq.png',
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name: '问题分类',
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intro: '可以判断用户问题属于哪方面问题，从而执行不同的操作。',
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description:
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'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',
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flowType: FlowModuleTypeEnum.classifyQuestion,
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showStatus: true,
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inputs: [
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{
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key: 'systemPrompt',
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type: FlowInputItemTypeEnum.textarea,
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valueType: FlowValueTypeEnum.string,
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label: '系统提示词',
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description:
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'你可以添加一些特定内容的介绍，从而更好的识别用户的问题类型。这个内容通常是给模型介绍一个它不知道的内容。',
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placeholder: '例如: \n1. Laf 是一个云函数开发平台……\n2. Sealos 是一个集群操作系统',
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value: ''
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},
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Input_Template_History,
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Input_Template_UserChatInput,
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{
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key: SpecialInputKeyEnum.agents,
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type: FlowInputItemTypeEnum.custom,
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label: '',
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value: [
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{
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value: '打招呼',
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key: 'fasw'
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},
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{
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value: '关于 xxx 的问题',
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key: 'fqsw'
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},
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{
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value: '其他问题',
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key: 'fesw'
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}
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]
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}
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],
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outputs: [
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{
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key: 'fasw',
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label: '',
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type: FlowOutputItemTypeEnum.hidden,
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targets: []
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},
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{
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key: 'fqsw',
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label: '',
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type: FlowOutputItemTypeEnum.hidden,
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targets: []
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},
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{
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key: 'fesw',
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label: '',
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type: FlowOutputItemTypeEnum.hidden,
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targets: []
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}
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]
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};
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export const ContextExtractModule: FlowModuleTemplateType = {
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logo: '/imgs/module/extract.png',
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name: '文本内容提取',
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intro: '从文本中提取出指定格式的数据',
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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',
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flowType: FlowModuleTypeEnum.contentExtract,
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showStatus: true,
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inputs: [
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Input_Template_TFSwitch,
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{
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key: ContextExtractEnum.description,
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type: FlowInputItemTypeEnum.textarea,
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valueType: FlowValueTypeEnum.string,
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label: '提取要求描述',
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description: '写一段提取要求，告诉 AI 需要提取哪些内容',
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required: true,
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placeholder:
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'例如: \n1. 你是一个实验室预约助手。根据用户问题，提取出姓名、实验室号和预约时间',
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value: ''
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},
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Input_Template_History,
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{
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key: ContextExtractEnum.content,
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type: FlowInputItemTypeEnum.target,
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label: '需要提取的文本',
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required: true,
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valueType: FlowValueTypeEnum.string
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},
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{
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key: ContextExtractEnum.extractKeys,
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type: FlowInputItemTypeEnum.custom,
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label: '目标字段',
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description: "由 '描述' 和 'key' 组成一个目标字段，可提取多个目标字段",
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value: []
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}
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],
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outputs: [
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{
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key: ContextExtractEnum.success,
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label: '字段完全提取',
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valueType: FlowValueTypeEnum.boolean,
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type: FlowOutputItemTypeEnum.source,
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targets: []
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},
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{
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key: ContextExtractEnum.failed,
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label: '提取字段缺失',
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valueType: FlowValueTypeEnum.boolean,
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type: FlowOutputItemTypeEnum.source,
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targets: []
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},
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{
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key: ContextExtractEnum.fields,
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label: '完整提取结果',
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description: '一个 JSON 字符串，例如：{"name:":"YY","Time":"2023/7/2 18:00"}',
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valueType: FlowValueTypeEnum.string,
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type: FlowOutputItemTypeEnum.source,
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targets: []
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}
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]
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};
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export const HttpModule: FlowModuleTemplateType = {
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logo: '/imgs/module/http.png',
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name: 'HTTP模块',
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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）',
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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）',
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flowType: FlowModuleTypeEnum.httpRequest,
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showStatus: true,
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inputs: [
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{
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key: HttpPropsEnum.url,
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value: '',
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type: FlowInputItemTypeEnum.input,
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label: '请求地址',
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description: '请求目标地址',
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placeholder: 'https://api.fastgpt.run/getInventory',
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required: true
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},
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Input_Template_TFSwitch
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],
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outputs: [
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{
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key: HttpPropsEnum.finish,
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label: '请求结束',
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valueType: FlowValueTypeEnum.boolean,
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type: FlowOutputItemTypeEnum.source,
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targets: []
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}
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]
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};
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export const EmptyModule: FlowModuleTemplateType = {
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logo: '/imgs/module/cq.png',
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name: '该模块已被移除',
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intro: '',
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description: '',
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flowType: FlowModuleTypeEnum.empty,
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inputs: [],
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outputs: []
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};
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export const ModuleTemplates = [
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{
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label: '输入模块',
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list: [UserInputModule, HistoryModule]
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},
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{
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label: '引导模块',
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list: [UserGuideModule, VariableModule]
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},
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{
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label: '内容生成',
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list: [ChatModule, AnswerModule]
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},
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{
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label: '知识库模块',
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list: [KBSearchModule]
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},
|
||
{
|
||
label: 'Agent',
|
||
list: [ClassifyQuestionModule, ContextExtractModule, HttpModule]
|
||
}
|
||
];
|
||
export const ModuleTemplatesFlat = ModuleTemplates.map((templates) => templates.list)?.flat();
|
||
|
||
// template
|
||
export const appTemplates: (AppItemType & { avatar: string; intro: string })[] = [
|
||
{
|
||
id: 'simpleChat',
|
||
avatar: '/imgs/module/AI.png',
|
||
name: '简单的对话',
|
||
intro: '一个极其简单的 AI 对话应用',
|
||
modules: [
|
||
{
|
||
moduleId: 'userChatInput',
|
||
name: '用户问题(对话入口)',
|
||
flowType: 'questionInput',
|
||
position: {
|
||
x: 464.32198615344566,
|
||
y: 1602.2698463081606
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'userChatInput',
|
||
type: 'systemInput',
|
||
label: '用户问题',
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: [
|
||
{
|
||
key: 'userChatInput',
|
||
label: '用户问题',
|
||
type: 'source',
|
||
valueType: 'string',
|
||
targets: [
|
||
{
|
||
moduleId: 'chatModule',
|
||
key: 'userChatInput'
|
||
}
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
moduleId: 'history',
|
||
name: '聊天记录',
|
||
flowType: 'historyNode',
|
||
position: {
|
||
x: 452.5466249541586,
|
||
y: 1276.3930310334215
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'maxContext',
|
||
type: 'numberInput',
|
||
label: '最长记录数',
|
||
value: 6,
|
||
min: 0,
|
||
max: 50,
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'history',
|
||
type: 'hidden',
|
||
label: '聊天记录',
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: [
|
||
{
|
||
key: 'history',
|
||
label: '聊天记录',
|
||
valueType: 'chat_history',
|
||
type: 'source',
|
||
targets: [
|
||
{
|
||
moduleId: 'chatModule',
|
||
key: 'history'
|
||
}
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
moduleId: 'chatModule',
|
||
name: 'AI 对话',
|
||
flowType: 'chatNode',
|
||
showStatus: true,
|
||
position: {
|
||
x: 1150.8317145593148,
|
||
y: 957.9676672880053
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'model',
|
||
type: 'custom',
|
||
label: '对话模型',
|
||
value: 'gpt-3.5-turbo-16k',
|
||
list: [],
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'temperature',
|
||
type: 'slider',
|
||
label: '温度',
|
||
value: 0,
|
||
min: 0,
|
||
max: 10,
|
||
step: 1,
|
||
markList: [
|
||
{
|
||
label: '严谨',
|
||
value: 0
|
||
},
|
||
{
|
||
label: '发散',
|
||
value: 10
|
||
}
|
||
],
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'maxToken',
|
||
type: 'custom',
|
||
label: '回复上限',
|
||
value: 8000,
|
||
min: 100,
|
||
max: 16000,
|
||
step: 50,
|
||
markList: [
|
||
{
|
||
label: '100',
|
||
value: 100
|
||
},
|
||
{
|
||
label: '16000',
|
||
value: 16000
|
||
}
|
||
],
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'systemPrompt',
|
||
type: 'textarea',
|
||
label: '系统提示词',
|
||
valueType: 'string',
|
||
description:
|
||
'模型固定的引导词，通过调整该内容，可以引导模型聊天方向。该内容会被固定在上下文的开头。可使用变量，例如 {{language}}',
|
||
placeholder:
|
||
'模型固定的引导词，通过调整该内容，可以引导模型聊天方向。该内容会被固定在上下文的开头。可使用变量，例如 {{language}}',
|
||
value: '',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'limitPrompt',
|
||
type: 'textarea',
|
||
valueType: 'string',
|
||
label: '限定词',
|
||
description:
|
||
'限定模型对话范围，会被放置在本次提问前，拥有强引导和限定性。可使用变量，例如 {{language}}。引导例子:\n1. 知识库是关于 Laf 的介绍，参考知识库回答问题，与 "Laf" 无关内容，直接回复: "我不知道"。\n2. 你仅回答关于 "xxx" 的问题，其他问题回复: "xxxx"',
|
||
placeholder:
|
||
'限定模型对话范围，会被放置在本次提问前，拥有强引导和限定性。可使用变量，例如 {{language}}。引导例子:\n1. 知识库是关于 Laf 的介绍，参考知识库回答问题，与 "Laf" 无关内容，直接回复: "我不知道"。\n2. 你仅回答关于 "xxx" 的问题，其他问题回复: "xxxx"',
|
||
value: '',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'switch',
|
||
type: 'target',
|
||
label: '触发器',
|
||
valueType: 'any',
|
||
connected: false
|
||
},
|
||
{
|
||
key: 'quoteQA',
|
||
type: 'target',
|
||
label: '引用内容',
|
||
valueType: 'kb_quote',
|
||
connected: false
|
||
},
|
||
{
|
||
key: 'history',
|
||
type: 'target',
|
||
label: '聊天记录',
|
||
valueType: 'chat_history',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'userChatInput',
|
||
type: 'target',
|
||
label: '用户问题',
|
||
required: true,
|
||
valueType: 'string',
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: [
|
||
{
|
||
key: 'answerText',
|
||
label: '模型回复',
|
||
description: '直接响应，无需配置',
|
||
type: 'hidden',
|
||
targets: []
|
||
},
|
||
{
|
||
key: 'finish',
|
||
label: '回复结束',
|
||
description: 'AI 回复完成后触发',
|
||
valueType: 'boolean',
|
||
type: 'source',
|
||
targets: []
|
||
}
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
id: 'simpleKbChat',
|
||
avatar: '/imgs/module/db.png',
|
||
name: '知识库 + 对话引导',
|
||
intro: '每次提问时进行一次知识库搜索，将搜索结果注入 LLM 模型进行参考回答',
|
||
modules: [
|
||
{
|
||
moduleId: 'userGuide',
|
||
name: '用户引导',
|
||
flowType: 'userGuide',
|
||
position: {
|
||
x: 454.98510354678695,
|
||
y: 721.4016845336229
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'welcomeText',
|
||
type: 'input',
|
||
label: '开场白',
|
||
value: '你好，我是 laf 助手，有什么可以帮助你的么？',
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: []
|
||
},
|
||
{
|
||
moduleId: 'userChatInput',
|
||
name: '用户问题(对话入口)',
|
||
flowType: 'questionInput',
|
||
position: {
|
||
x: 464.32198615344566,
|
||
y: 1602.2698463081606
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'userChatInput',
|
||
type: 'systemInput',
|
||
label: '用户问题',
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: [
|
||
{
|
||
key: 'userChatInput',
|
||
label: '用户问题',
|
||
type: 'source',
|
||
valueType: 'string',
|
||
targets: [
|
||
{
|
||
moduleId: 'chatModule',
|
||
key: 'userChatInput'
|
||
},
|
||
{
|
||
moduleId: 'kbSearch',
|
||
key: 'userChatInput'
|
||
}
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
moduleId: 'history',
|
||
name: '聊天记录',
|
||
flowType: 'historyNode',
|
||
position: {
|
||
x: 452.5466249541586,
|
||
y: 1276.3930310334215
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'maxContext',
|
||
type: 'numberInput',
|
||
label: '最长记录数',
|
||
value: 6,
|
||
min: 0,
|
||
max: 50,
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'history',
|
||
type: 'hidden',
|
||
label: '聊天记录',
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: [
|
||
{
|
||
key: 'history',
|
||
label: '聊天记录',
|
||
valueType: 'chat_history',
|
||
type: 'source',
|
||
targets: [
|
||
{
|
||
moduleId: 'chatModule',
|
||
key: 'history'
|
||
}
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
moduleId: 'kbSearch',
|
||
name: '知识库搜索',
|
||
flowType: 'kbSearchNode',
|
||
showStatus: true,
|
||
position: {
|
||
x: 956.0838440206068,
|
||
y: 887.462827870246
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'kbList',
|
||
type: 'custom',
|
||
label: '关联的知识库',
|
||
value: [],
|
||
list: [],
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'similarity',
|
||
type: 'slider',
|
||
label: '相似度',
|
||
value: 0.8,
|
||
min: 0,
|
||
max: 1,
|
||
step: 0.01,
|
||
markList: [
|
||
{
|
||
label: '100',
|
||
value: 100
|
||
},
|
||
{
|
||
label: '1',
|
||
value: 1
|
||
}
|
||
],
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'limit',
|
||
type: 'slider',
|
||
label: '单次搜索上限',
|
||
description: '最多取 n 条记录作为本次问题引用',
|
||
value: 5,
|
||
min: 1,
|
||
max: 20,
|
||
step: 1,
|
||
markList: [
|
||
{
|
||
label: '1',
|
||
value: 1
|
||
},
|
||
{
|
||
label: '20',
|
||
value: 20
|
||
}
|
||
],
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'switch',
|
||
type: 'target',
|
||
label: '触发器',
|
||
valueType: 'any',
|
||
connected: false
|
||
},
|
||
{
|
||
key: 'userChatInput',
|
||
type: 'target',
|
||
label: '用户问题',
|
||
required: true,
|
||
valueType: 'string',
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: [
|
||
{
|
||
key: 'isEmpty',
|
||
label: '搜索结果为空',
|
||
type: 'source',
|
||
valueType: 'boolean',
|
||
targets: [
|
||
{
|
||
moduleId: '2752oj',
|
||
key: 'switch'
|
||
}
|
||
]
|
||
},
|
||
{
|
||
key: 'unEmpty',
|
||
label: '搜索结果不为空',
|
||
type: 'source',
|
||
valueType: 'boolean',
|
||
targets: [
|
||
{
|
||
moduleId: 'chatModule',
|
||
key: 'switch'
|
||
}
|
||
]
|
||
},
|
||
{
|
||
key: 'quoteQA',
|
||
label: '引用内容',
|
||
description:
|
||
'始终返回数组，如果希望搜索结果为空时执行额外操作，需要用到上面的两个输入以及目标模块的触发器',
|
||
type: 'source',
|
||
valueType: 'kb_quote',
|
||
targets: [
|
||
{
|
||
moduleId: 'chatModule',
|
||
key: 'quoteQA'
|
||
}
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
moduleId: 'chatModule',
|
||
name: 'AI 对话',
|
||
flowType: 'chatNode',
|
||
showStatus: true,
|
||
position: {
|
||
x: 1546.0823206390796,
|
||
y: 1008.9827344021824
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'model',
|
||
type: 'custom',
|
||
label: '对话模型',
|
||
value: 'gpt-3.5-turbo-16k',
|
||
list: [],
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'temperature',
|
||
type: 'slider',
|
||
label: '温度',
|
||
value: 0,
|
||
min: 0,
|
||
max: 10,
|
||
step: 1,
|
||
markList: [
|
||
{
|
||
label: '严谨',
|
||
value: 0
|
||
},
|
||
{
|
||
label: '发散',
|
||
value: 10
|
||
}
|
||
],
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'maxToken',
|
||
type: 'custom',
|
||
label: '回复上限',
|
||
value: 8000,
|
||
min: 100,
|
||
max: 16000,
|
||
step: 50,
|
||
markList: [
|
||
{
|
||
label: '100',
|
||
value: 100
|
||
},
|
||
{
|
||
label: '16000',
|
||
value: 16000
|
||
}
|
||
],
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'systemPrompt',
|
||
type: 'textarea',
|
||
label: '系统提示词',
|
||
valueType: 'string',
|
||
description:
|
||
'模型固定的引导词，通过调整该内容，可以引导模型聊天方向。该内容会被固定在上下文的开头。可使用变量，例如 {{language}}',
|
||
placeholder:
|
||
'模型固定的引导词，通过调整该内容，可以引导模型聊天方向。该内容会被固定在上下文的开头。可使用变量，例如 {{language}}',
|
||
value: '',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'limitPrompt',
|
||
type: 'textarea',
|
||
valueType: 'string',
|
||
label: '限定词',
|
||
description:
|
||
'限定模型对话范围，会被放置在本次提问前，拥有强引导和限定性。可使用变量，例如 {{language}}。引导例子:\n1. 知识库是关于 Laf 的介绍，参考知识库回答问题，与 "Laf" 无关内容，直接回复: "我不知道"。\n2. 你仅回答关于 "xxx" 的问题，其他问题回复: "xxxx"',
|
||
placeholder:
|
||
'限定模型对话范围，会被放置在本次提问前，拥有强引导和限定性。可使用变量，例如 {{language}}。引导例子:\n1. 知识库是关于 Laf 的介绍，参考知识库回答问题，与 "Laf" 无关内容，直接回复: "我不知道"。\n2. 你仅回答关于 "xxx" 的问题，其他问题回复: "xxxx"',
|
||
value: '',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'switch',
|
||
type: 'target',
|
||
label: '触发器',
|
||
valueType: 'any',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'quoteQA',
|
||
type: 'target',
|
||
label: '引用内容',
|
||
valueType: 'kb_quote',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'history',
|
||
type: 'target',
|
||
label: '聊天记录',
|
||
valueType: 'chat_history',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'userChatInput',
|
||
type: 'target',
|
||
label: '用户问题',
|
||
required: true,
|
||
valueType: 'string',
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: [
|
||
{
|
||
key: 'answerText',
|
||
label: '模型回复',
|
||
description: '直接响应，无需配置',
|
||
type: 'hidden',
|
||
targets: []
|
||
},
|
||
{
|
||
key: 'finish',
|
||
label: '回复结束',
|
||
description: 'AI 回复完成后触发',
|
||
valueType: 'boolean',
|
||
type: 'source',
|
||
targets: []
|
||
}
|
||
]
|
||
},
|
||
{
|
||
moduleId: '2752oj',
|
||
name: '指定回复',
|
||
flowType: 'answerNode',
|
||
position: {
|
||
x: 1542.9271243684725,
|
||
y: 702.7819618017722
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'switch',
|
||
type: 'target',
|
||
label: '触发器',
|
||
valueType: 'any',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'text',
|
||
value: '搜索结果为空',
|
||
type: 'textarea',
|
||
valueType: 'string',
|
||
label: '回复的内容',
|
||
description:
|
||
'可以使用 \\n 来实现换行。也可以通过外部模块输入实现回复，外部模块输入时会覆盖当前填写的内容',
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: []
|
||
}
|
||
]
|
||
},
|
||
{
|
||
id: 'chatGuide',
|
||
avatar: '/imgs/module/userGuide.png',
|
||
name: '对话引导 + 变量',
|
||
intro: '可以在对话开始发送一段提示，或者让用户填写一些内容，作为本次对话的变量',
|
||
modules: [
|
||
{
|
||
moduleId: 'userGuide',
|
||
name: '用户引导',
|
||
flowType: 'userGuide',
|
||
position: {
|
||
x: 447.98520778293346,
|
||
y: 721.4016845336229
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'welcomeText',
|
||
type: 'input',
|
||
label: '开场白',
|
||
value: '你好，我可以为你翻译各种语言，请告诉我你需要翻译成什么语言？',
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: []
|
||
},
|
||
{
|
||
moduleId: 'variable',
|
||
name: '全局变量',
|
||
flowType: 'variable',
|
||
position: {
|
||
x: 444.0369195277651,
|
||
y: 1008.5185781784537
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'variables',
|
||
type: 'systemInput',
|
||
label: '变量输入',
|
||
value: [
|
||
{
|
||
id: '35c640eb-cf22-431f-bb57-3fc21643880e',
|
||
key: 'language',
|
||
label: '目标语言',
|
||
type: 'input',
|
||
required: true,
|
||
maxLen: 50,
|
||
enums: [
|
||
{
|
||
value: ''
|
||
}
|
||
]
|
||
},
|
||
{
|
||
id: '2011ff08-91aa-4f60-ae69-f311ab4797b3',
|
||
key: 'language2',
|
||
label: '下拉框测试',
|
||
type: 'select',
|
||
required: false,
|
||
maxLen: 50,
|
||
enums: [
|
||
{
|
||
value: '英语'
|
||
},
|
||
{
|
||
value: '法语'
|
||
}
|
||
]
|
||
}
|
||
],
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: []
|
||
},
|
||
{
|
||
moduleId: 'userChatInput',
|
||
name: '用户问题(对话入口)',
|
||
flowType: 'questionInput',
|
||
position: {
|
||
x: 464.32198615344566,
|
||
y: 1602.2698463081606
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'userChatInput',
|
||
type: 'systemInput',
|
||
label: '用户问题',
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: [
|
||
{
|
||
key: 'userChatInput',
|
||
label: '用户问题',
|
||
type: 'source',
|
||
valueType: 'string',
|
||
targets: [
|
||
{
|
||
moduleId: 'chatModule',
|
||
key: 'userChatInput'
|
||
}
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
moduleId: 'history',
|
||
name: '聊天记录',
|
||
flowType: 'historyNode',
|
||
position: {
|
||
x: 452.5466249541586,
|
||
y: 1276.3930310334215
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'maxContext',
|
||
type: 'numberInput',
|
||
label: '最长记录数',
|
||
value: 10,
|
||
min: 0,
|
||
max: 50,
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'history',
|
||
type: 'hidden',
|
||
label: '聊天记录',
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: [
|
||
{
|
||
key: 'history',
|
||
label: '聊天记录',
|
||
valueType: 'chat_history',
|
||
type: 'source',
|
||
targets: [
|
||
{
|
||
moduleId: 'chatModule',
|
||
key: 'history'
|
||
}
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
moduleId: 'chatModule',
|
||
name: 'AI 对话',
|
||
flowType: 'chatNode',
|
||
showStatus: true,
|
||
position: {
|
||
x: 981.9682828103937,
|
||
y: 890.014595014464
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'model',
|
||
type: 'custom',
|
||
label: '对话模型',
|
||
value: 'gpt-3.5-turbo-16k',
|
||
list: [],
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'temperature',
|
||
type: 'slider',
|
||
label: '温度',
|
||
value: 0,
|
||
min: 0,
|
||
max: 10,
|
||
step: 1,
|
||
markList: [
|
||
{
|
||
label: '严谨',
|
||
value: 0
|
||
},
|
||
{
|
||
label: '发散',
|
||
value: 10
|
||
}
|
||
],
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'maxToken',
|
||
type: 'custom',
|
||
label: '回复上限',
|
||
value: 8000,
|
||
min: 100,
|
||
max: 16000,
|
||
step: 50,
|
||
markList: [
|
||
{
|
||
label: '100',
|
||
value: 100
|
||
},
|
||
{
|
||
label: '16000',
|
||
value: 16000
|
||
}
|
||
],
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'systemPrompt',
|
||
type: 'textarea',
|
||
label: '系统提示词',
|
||
valueType: 'string',
|
||
description:
|
||
'模型固定的引导词，通过调整该内容，可以引导模型聊天方向。该内容会被固定在上下文的开头。可使用变量，例如 {{language}}',
|
||
placeholder:
|
||
'模型固定的引导词，通过调整该内容，可以引导模型聊天方向。该内容会被固定在上下文的开头。可使用变量，例如 {{language}}',
|
||
value: '',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'limitPrompt',
|
||
type: 'textarea',
|
||
valueType: 'string',
|
||
label: '限定词',
|
||
description:
|
||
'限定模型对话范围，会被放置在本次提问前，拥有强引导和限定性。可使用变量，例如 {{language}}。引导例子:\n1. 知识库是关于 Laf 的介绍，参考知识库回答问题，与 "Laf" 无关内容，直接回复: "我不知道"。\n2. 你仅回答关于 "xxx" 的问题，其他问题回复: "xxxx"',
|
||
placeholder:
|
||
'限定模型对话范围，会被放置在本次提问前，拥有强引导和限定性。可使用变量，例如 {{language}}。引导例子:\n1. 知识库是关于 Laf 的介绍，参考知识库回答问题，与 "Laf" 无关内容，直接回复: "我不知道"。\n2. 你仅回答关于 "xxx" 的问题，其他问题回复: "xxxx"',
|
||
value: '将我的问题直接翻译成英语{{language}}',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'switch',
|
||
type: 'target',
|
||
label: '触发器',
|
||
valueType: 'any',
|
||
connected: false
|
||
},
|
||
{
|
||
key: 'quoteQA',
|
||
type: 'target',
|
||
label: '引用内容',
|
||
valueType: 'kb_quote',
|
||
connected: false
|
||
},
|
||
{
|
||
key: 'history',
|
||
type: 'target',
|
||
label: '聊天记录',
|
||
valueType: 'chat_history',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'userChatInput',
|
||
type: 'target',
|
||
label: '用户问题',
|
||
required: true,
|
||
valueType: 'string',
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: [
|
||
{
|
||
key: 'answerText',
|
||
label: '模型回复',
|
||
description: '直接响应，无需配置',
|
||
type: 'hidden',
|
||
targets: []
|
||
},
|
||
{
|
||
key: 'finish',
|
||
label: '回复结束',
|
||
description: 'AI 回复完成后触发',
|
||
valueType: 'boolean',
|
||
type: 'source',
|
||
targets: []
|
||
}
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
id: 'CQ',
|
||
avatar: '/imgs/module/cq.png',
|
||
name: '问题分类 + 知识库',
|
||
intro: '先对用户的问题进行分类，再根据不同类型问题，执行不同的操作',
|
||
modules: [
|
||
{
|
||
moduleId: '7z5g5h',
|
||
name: '用户问题(对话入口)',
|
||
flowType: 'questionInput',
|
||
position: {
|
||
x: 198.56612928723575,
|
||
y: 1622.7034463081607
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'userChatInput',
|
||
type: 'systemInput',
|
||
label: '用户问题',
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: [
|
||
{
|
||
key: 'userChatInput',
|
||
label: '用户问题',
|
||
type: 'source',
|
||
valueType: 'string',
|
||
targets: [
|
||
{
|
||
moduleId: 'remuj3',
|
||
key: 'userChatInput'
|
||
},
|
||
{
|
||
moduleId: 'nlfwkc',
|
||
key: 'userChatInput'
|
||
},
|
||
{
|
||
moduleId: 'fljhzy',
|
||
key: 'userChatInput'
|
||
}
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
moduleId: 'xj0c9p',
|
||
name: '聊天记录',
|
||
flowType: 'historyNode',
|
||
position: {
|
||
x: 194.99102398958047,
|
||
y: 1801.3545999721096
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'maxContext',
|
||
type: 'numberInput',
|
||
label: '最长记录数',
|
||
value: 6,
|
||
min: 0,
|
||
max: 50,
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'history',
|
||
type: 'hidden',
|
||
label: '聊天记录',
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: [
|
||
{
|
||
key: 'history',
|
||
label: '聊天记录',
|
||
valueType: 'chat_history',
|
||
type: 'source',
|
||
targets: [
|
||
{
|
||
moduleId: 'nlfwkc',
|
||
key: 'history'
|
||
}
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
moduleId: 'remuj3',
|
||
name: '问题分类',
|
||
flowType: 'classifyQuestion',
|
||
showStatus: true,
|
||
position: {
|
||
x: 672.9092284362648,
|
||
y: 1077.557793775116
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'systemPrompt',
|
||
type: 'textarea',
|
||
valueType: 'string',
|
||
label: '系统提示词',
|
||
description:
|
||
'你可以添加一些特定内容的介绍，从而更好的识别用户的问题类型。这个内容通常是给模型介绍一个它不知道的内容。',
|
||
placeholder: '例如: \n1. Laf 是一个云函数开发平台……\n2. Sealos 是一个集群操作系统',
|
||
value:
|
||
'laf 是云开发平台，可以快速的开发应用\nlaf 是一个开源的 BaaS 开发平台（Backend as a Service)\nlaf 是一个开箱即用的 serverless 开发平台\nlaf 是一个集「函数计算」、「数据库」、「对象存储」等于一身的一站式开发平台\nlaf 可以是开源版的腾讯云开发、开源版的 Google Firebase、开源版的 UniCloud',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'history',
|
||
type: 'target',
|
||
label: '聊天记录',
|
||
valueType: 'chat_history',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'userChatInput',
|
||
type: 'target',
|
||
label: '用户问题',
|
||
required: true,
|
||
valueType: 'string',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'agents',
|
||
type: 'custom',
|
||
label: '',
|
||
value: [
|
||
{
|
||
value: '打招呼、问候等问题',
|
||
key: 'fasw'
|
||
},
|
||
{
|
||
value: '“laf” 的问题',
|
||
key: 'fqsw'
|
||
},
|
||
{
|
||
value: '商务问题',
|
||
key: 'fesw'
|
||
},
|
||
{
|
||
value: '其他问题',
|
||
key: 'oy1c'
|
||
}
|
||
],
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: [
|
||
{
|
||
key: 'fasw',
|
||
label: '',
|
||
type: 'hidden',
|
||
targets: [
|
||
{
|
||
moduleId: 'a99p6z',
|
||
key: 'switch'
|
||
}
|
||
]
|
||
},
|
||
{
|
||
key: 'fqsw',
|
||
label: '',
|
||
type: 'hidden',
|
||
targets: [
|
||
{
|
||
moduleId: 'fljhzy',
|
||
key: 'switch'
|
||
}
|
||
]
|
||
},
|
||
{
|
||
key: 'fesw',
|
||
label: '',
|
||
type: 'hidden',
|
||
targets: [
|
||
{
|
||
moduleId: '5v78ap',
|
||
key: 'switch'
|
||
}
|
||
]
|
||
},
|
||
{
|
||
key: 'oy1c',
|
||
label: '',
|
||
type: 'hidden',
|
||
targets: [
|
||
{
|
||
moduleId: 'iejcou',
|
||
key: 'switch'
|
||
}
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
moduleId: 'a99p6z',
|
||
name: '指定回复',
|
||
flowType: 'answerNode',
|
||
position: {
|
||
x: 1304.2886011902247,
|
||
y: 776.1589509539264
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'switch',
|
||
type: 'target',
|
||
label: '触发器',
|
||
valueType: 'any',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'text',
|
||
value: '你好，我是 laf 助手，有什么可以帮助你的？',
|
||
type: 'textarea',
|
||
valueType: 'string',
|
||
label: '回复的内容',
|
||
description:
|
||
'可以使用 \\n 来实现换行。也可以通过外部模块输入实现回复，外部模块输入时会覆盖当前填写的内容',
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: []
|
||
},
|
||
{
|
||
moduleId: 'iejcou',
|
||
name: '指定回复',
|
||
flowType: 'answerNode',
|
||
position: {
|
||
x: 1294.2531189034548,
|
||
y: 2127.1297123368286
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'switch',
|
||
type: 'target',
|
||
label: '触发器',
|
||
valueType: 'any',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'text',
|
||
value: '你好，我仅能回答 laf 相关问题，请问你有什么问题么？',
|
||
type: 'textarea',
|
||
valueType: 'string',
|
||
label: '回复的内容',
|
||
description:
|
||
'可以使用 \\n 来实现换行。也可以通过外部模块输入实现回复，外部模块输入时会覆盖当前填写的内容',
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: []
|
||
},
|
||
{
|
||
moduleId: 'nlfwkc',
|
||
name: 'AI 对话',
|
||
flowType: 'chatNode',
|
||
showStatus: true,
|
||
position: {
|
||
x: 1821.979893659983,
|
||
y: 1104.6583548423682
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'model',
|
||
type: 'custom',
|
||
label: '对话模型',
|
||
value: 'gpt-3.5-turbo-16k',
|
||
list: [],
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'temperature',
|
||
type: 'slider',
|
||
label: '温度',
|
||
value: 0,
|
||
min: 0,
|
||
max: 10,
|
||
step: 1,
|
||
markList: [
|
||
{
|
||
label: '严谨',
|
||
value: 0
|
||
},
|
||
{
|
||
label: '发散',
|
||
value: 10
|
||
}
|
||
],
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'maxToken',
|
||
type: 'custom',
|
||
label: '回复上限',
|
||
value: 8000,
|
||
min: 100,
|
||
max: 4000,
|
||
step: 50,
|
||
markList: [
|
||
{
|
||
label: '100',
|
||
value: 100
|
||
},
|
||
{
|
||
label: '4000',
|
||
value: 4000
|
||
}
|
||
],
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'systemPrompt',
|
||
type: 'textarea',
|
||
label: '系统提示词',
|
||
valueType: 'string',
|
||
description:
|
||
'模型固定的引导词，通过调整该内容，可以引导模型聊天方向。该内容会被固定在上下文的开头。可使用变量，例如 {{language}}',
|
||
placeholder:
|
||
'模型固定的引导词，通过调整该内容，可以引导模型聊天方向。该内容会被固定在上下文的开头。可使用变量，例如 {{language}}',
|
||
value: '知识库是关于 laf 的内容。',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'limitPrompt',
|
||
type: 'textarea',
|
||
valueType: 'string',
|
||
label: '限定词',
|
||
description:
|
||
'限定模型对话范围，会被放置在本次提问前，拥有强引导和限定性。可使用变量，例如 {{language}}。引导例子:\n1. 知识库是关于 Laf 的介绍，参考知识库回答问题，与 "Laf" 无关内容，直接回复: "我不知道"。\n2. 你仅回答关于 "xxx" 的问题，其他问题回复: "xxxx"',
|
||
placeholder:
|
||
'限定模型对话范围，会被放置在本次提问前，拥有强引导和限定性。可使用变量，例如 {{language}}。引导例子:\n1. 知识库是关于 Laf 的介绍，参考知识库回答问题，与 "Laf" 无关内容，直接回复: "我不知道"。\n2. 你仅回答关于 "xxx" 的问题，其他问题回复: "xxxx"',
|
||
value:
|
||
'我的问题都是关于 laf 的。根据知识库回答我的问题，与 laf 无关问题，直接回复：“我不清楚，我仅能回答 laf 相关的问题。”。',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'switch',
|
||
type: 'target',
|
||
label: '触发器',
|
||
valueType: 'any',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'quoteQA',
|
||
type: 'target',
|
||
label: '引用内容',
|
||
valueType: 'kb_quote',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'history',
|
||
type: 'target',
|
||
label: '聊天记录',
|
||
valueType: 'chat_history',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'userChatInput',
|
||
type: 'target',
|
||
label: '用户问题',
|
||
required: true,
|
||
valueType: 'string',
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: [
|
||
{
|
||
key: 'answerText',
|
||
label: '模型回复',
|
||
description: '直接响应，无需配置',
|
||
type: 'hidden',
|
||
targets: []
|
||
},
|
||
{
|
||
key: 'finish',
|
||
label: '回复结束',
|
||
description: 'AI 回复完成后触发',
|
||
valueType: 'boolean',
|
||
type: 'source',
|
||
targets: []
|
||
}
|
||
]
|
||
},
|
||
{
|
||
moduleId: 's4v9su',
|
||
name: '聊天记录',
|
||
flowType: 'historyNode',
|
||
position: {
|
||
x: 193.3803955457983,
|
||
y: 1116.251200765746
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'maxContext',
|
||
type: 'numberInput',
|
||
label: '最长记录数',
|
||
value: 2,
|
||
min: 0,
|
||
max: 50,
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'history',
|
||
type: 'hidden',
|
||
label: '聊天记录',
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: [
|
||
{
|
||
key: 'history',
|
||
label: '聊天记录',
|
||
valueType: 'chat_history',
|
||
type: 'source',
|
||
targets: [
|
||
{
|
||
moduleId: 'remuj3',
|
||
key: 'history'
|
||
}
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
moduleId: 'fljhzy',
|
||
name: '知识库搜索',
|
||
flowType: 'kbSearchNode',
|
||
showStatus: true,
|
||
position: {
|
||
x: 1305.5374262228029,
|
||
y: 1120.0404921820218
|
||
},
|
||
inputs: [
|
||
{
|
||
type: 'custom',
|
||
label: '关联的知识库',
|
||
list: [],
|
||
key: 'kbList',
|
||
value: [],
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'similarity',
|
||
type: 'slider',
|
||
label: '相似度',
|
||
value: 0.76,
|
||
min: 0,
|
||
max: 1,
|
||
step: 0.01,
|
||
markList: [
|
||
{
|
||
label: '100',
|
||
value: 100
|
||
},
|
||
{
|
||
label: '1',
|
||
value: 1
|
||
}
|
||
],
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'limit',
|
||
type: 'slider',
|
||
label: '单次搜索上限',
|
||
description: '最多取 n 条记录作为本次问题引用',
|
||
value: 5,
|
||
min: 1,
|
||
max: 20,
|
||
step: 1,
|
||
markList: [
|
||
{
|
||
label: '1',
|
||
value: 1
|
||
},
|
||
{
|
||
label: '20',
|
||
value: 20
|
||
}
|
||
],
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'switch',
|
||
type: 'target',
|
||
label: '触发器',
|
||
valueType: 'any',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'userChatInput',
|
||
type: 'target',
|
||
label: '用户问题',
|
||
required: true,
|
||
valueType: 'string',
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: [
|
||
{
|
||
key: 'isEmpty',
|
||
label: '搜索结果为空',
|
||
type: 'source',
|
||
valueType: 'boolean',
|
||
targets: [
|
||
{
|
||
moduleId: 'tc90wz',
|
||
key: 'switch'
|
||
}
|
||
]
|
||
},
|
||
{
|
||
key: 'unEmpty',
|
||
label: '搜索结果不为空',
|
||
type: 'source',
|
||
valueType: 'boolean',
|
||
targets: [
|
||
{
|
||
moduleId: 'nlfwkc',
|
||
key: 'switch'
|
||
}
|
||
]
|
||
},
|
||
{
|
||
key: 'quoteQA',
|
||
label: '引用内容',
|
||
description:
|
||
'始终返回数组，如果希望搜索结果为空时执行额外操作，需要用到上面的两个输入以及目标模块的触发器',
|
||
type: 'source',
|
||
valueType: 'kb_quote',
|
||
targets: [
|
||
{
|
||
moduleId: 'nlfwkc',
|
||
key: 'quoteQA'
|
||
}
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
moduleId: 'q9equb',
|
||
name: '用户引导',
|
||
flowType: 'userGuide',
|
||
position: {
|
||
x: 191.4857498376603,
|
||
y: 856.6847387508401
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'welcomeText',
|
||
type: 'input',
|
||
label: '开场白',
|
||
value:
|
||
'你好，我是 laf 助手，有什么可以帮助你的？\n[laf 是什么？有什么用？]\n[laf 在线体验地址]\n[官网地址是多少]',
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: []
|
||
},
|
||
{
|
||
moduleId: 'tc90wz',
|
||
name: '指定回复',
|
||
flowType: 'answerNode',
|
||
position: {
|
||
x: 1828.4596416688908,
|
||
y: 765.3628156185887
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'switch',
|
||
type: 'target',
|
||
label: '触发器',
|
||
valueType: 'any',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'text',
|
||
value: '对不起，我找不到你的问题，请更加详细的描述你的问题。',
|
||
type: 'textarea',
|
||
valueType: 'string',
|
||
label: '回复的内容',
|
||
description:
|
||
'可以使用 \\n 来实现换行。也可以通过外部模块输入实现回复，外部模块输入时会覆盖当前填写的内容',
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: []
|
||
},
|
||
{
|
||
moduleId: '5v78ap',
|
||
name: '指定回复',
|
||
flowType: 'answerNode',
|
||
position: {
|
||
x: 1294.814522053934,
|
||
y: 1822.7626988141562
|
||
},
|
||
inputs: [
|
||
{
|
||
key: 'switch',
|
||
type: 'target',
|
||
label: '触发器',
|
||
valueType: 'any',
|
||
connected: true
|
||
},
|
||
{
|
||
key: 'text',
|
||
value: '这是一个商务问题',
|
||
type: 'textarea',
|
||
valueType: 'string',
|
||
label: '回复的内容',
|
||
description:
|
||
'可以使用 \\n 来实现换行。也可以通过外部模块输入实现回复，外部模块输入时会覆盖当前填写的内容',
|
||
connected: true
|
||
}
|
||
],
|
||
outputs: []
|
||
}
|
||
]
|
||
}
|
||
];
|