v4.4.3 (#316)

2023-09-18 21:26:42 +08:00
parent 81e37a5736
commit 06be57815e
24 changed files with 459 additions and 707 deletions
--- a/client/public/locales/en/common.json
+++ b/client/public/locales/en/common.json
@@ -14,6 +14,7 @@
  "UnKnow": "UnKnow",
  "Warning": "Warning",
  "app": {
+    "Quote Prompt Settings": "Quote Prompt Settings",
    "Advance App TestTip": "The current application is advanced editing mode \n. If you need to switch to [simple mode], please click the save button on the left",
    "App Detail": "App Detail",
    "Chat Logs Tips": "Logs record the app's online, shared, and API(chatId is existing) conversations",
@@ -219,6 +220,10 @@
  "system": {
    "Help Document": "Document"
  },
+  "template": {
+    "Quote Content Tip": "This configuration takes effect only when reference content is passed in (knowledge base search). You can customize the structure of the reference content to better fit different scenarios. You can use {{q}}, {{a}}, {{source}} as \"search content\", \"expected content\", and \"source\", they are all optional, and here are the default values: \n{instruction:\"{{q}}\",output:\"{{a}}\"}",
+    "Quote Prompt Tip": "This configuration takes effect only when reference content is passed in (knowledge base search). \n You can insert references with {{quote}}, here are the default values: \n\"\"\"{{quote}}\"\"\" The three quotes are the knowledge base I gave you, they have the highest priority. instruction is a relevant introduction and output is an expected answer or supplement."
+  },
  "user": {
    "Account": "Account",
    "Amount of earnings": "Earnings",
--- a/client/public/locales/zh/common.json
+++ b/client/public/locales/zh/common.json
@@ -14,6 +14,7 @@
  "UnKnow": "未知",
  "Warning": "提示",
  "app": {
+    "Quote Prompt Settings": "引用提示词配置",
    "Advance App TestTip": "当前应用为高级编排模式\n如需切换为【简易模式】请点击左侧保存按键",
    "App Detail": "应用详情",
    "Chat Logs Tips": "日志会记录该应用的在线、分享和 API(需填写 chatId) 对话记录",
@@ -219,6 +220,10 @@
  "system": {
    "Help Document": "帮助文档"
  },
+  "template": {
+    "Quote Content Tip": "该配置只有传入引用内容（知识库搜索）时生效。\n可以自定义引用内容的结构，以更好的适配不同场景。可以使用 {{q}}, {{a}}, {{source}} 来作为 “检索内容”、“预期内容”和“来源”，他们都是可选的，下面是默认值：\n{{default}}",
+    "Quote Prompt Tip": "该配置只有传入引用内容（知识库搜索）时生效。\n可以用 {{quote}} 来插入引用内容，使用 {{question}} 来插入问题。下面是默认值：\n{{default}}"
+  },
  "user": {
    "Account": "账号",
    "Amount of earnings": "收益（￥）",
--- a/client/src/components/ChatBox/index.tsx
+++ b/client/src/components/ChatBox/index.tsx
@@ -613,11 +613,6 @@ const ChatBox = (
                flexDirection={'column'}
                alignItems={item.obj === 'Human' ? 'flex-end' : 'flex-start'}
                py={5}
-                _hover={{
-                  '& .control': {
-                    display: item.status === 'finish' ? 'flex' : 'none'
-                  }
-                }}
              >
                {item.obj === 'Human' && (
                  <>
--- a/client/src/components/MyModal/index.tsx
+++ b/client/src/components/MyModal/index.tsx
@@ -10,11 +10,10 @@ import {
 } from '@chakra-ui/react';

 interface Props extends ModalContentProps {
-  showCloseBtn?: boolean;
  title?: any;
  isCentered?: boolean;
  isOpen: boolean;
-  onClose: () => void;
+  onClose?: () => void;
 }

 const MyModal = ({
@@ -22,14 +21,18 @@ const MyModal = ({
  onClose,
  title,
  children,
-  showCloseBtn = true,
  isCentered,
  w = 'auto',
  maxW = ['90vw', '600px'],
  ...props
 }: Props) => {
  return (
-    <Modal isOpen={isOpen} onClose={onClose} autoFocus={false} isCentered={isCentered}>
+    <Modal
+      isOpen={isOpen}
+      onClose={() => onClose && onClose()}
+      autoFocus={false}
+      isCentered={isCentered}
+    >
      <ModalOverlay />
      <ModalContent
        display={'flex'}
@@ -43,7 +46,7 @@ const MyModal = ({
      >
        {!!title && <ModalHeader>{title}</ModalHeader>}
        <Box overflow={'overlay'} h={'100%'}>
-          {showCloseBtn && <ModalCloseButton />}
+          {onClose && <ModalCloseButton />}
          {children}
        </Box>
      </ModalContent>
--- a/client/src/constants/flow/ModuleTemplate.ts
+++ b/client/src/constants/flow/ModuleTemplate.ts
@@ -163,19 +163,23 @@ export const ChatModule: FlowModuleTemplateType = {
      value: ''
    },
    {
-      key: 'limitPrompt',
-      type: FlowInputItemTypeEnum.textarea,
+      key: 'quoteTemplate',
+      type: FlowInputItemTypeEnum.hidden,
+      label: '引用内容模板',
+      valueType: FlowValueTypeEnum.string,
+      value: ''
+    },
+    {
+      key: 'quotePrompt',
+      type: FlowInputItemTypeEnum.hidden,
+      label: '引用内容提示词',
      valueType: FlowValueTypeEnum.string,
-      label: '限定词',
-      max: 500,
-      description: ChatModelLimitTip,
-      placeholder: ChatModelLimitTip,
      value: ''
    },
    Input_Template_TFSwitch,
    {
      key: 'quoteQA',
-      type: FlowInputItemTypeEnum.target,
+      type: FlowInputItemTypeEnum.custom,
      label: '引用内容',
      description: "对象数组格式，结构：\n [{q:'问题',a:'回答'}]",
      valueType: FlowValueTypeEnum.kbQuote
@@ -664,19 +668,6 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
            value: '',
            connected: true
          },
-          {
-            key: 'limitPrompt',
-            type: 'textarea',
-            valueType: 'string',
-            label: '限定词',
-            max: 500,
-            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',
@@ -1013,18 +1004,6 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
            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',
@@ -1319,18 +1298,6 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
            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',
@@ -1703,19 +1670,6 @@ export const appTemplates: (AppItemType & { avatar: string; intro: string })[] =
            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',
--- a/client/src/pages/account/components/PayModal.tsx
+++ b/client/src/pages/account/components/PayModal.tsx
@@ -64,16 +64,7 @@ const PayModal = ({ onClose }: { onClose: () => void }) => {
  );

  return (
-    <MyModal
-      isOpen={true}
-      onClose={() => {
-        if (payId) return;
-        onClose();
-      }}
-      title={t('user.Pay')}
-      isCentered
-      showCloseBtn={!payId}
-    >
+    <MyModal isOpen={true} onClose={payId ? onClose : undefined} title={t('user.Pay')} isCentered>
      <ModalBody py={0}>
        {!payId && (
          <>
--- a/client/src/pages/api/admin/initv4.ts
+++ b/client/src/pages/api/admin/initv4.ts
@@ -1,446 +0,0 @@
-// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { authUser } from '@/service/utils/auth';
-import { connectToDatabase, App } from '@/service/mongo';
-import { FlowModuleTypeEnum, SpecialInputKeyEnum } from '@/constants/flow';
-import { TaskResponseKeyEnum } from '@/constants/chat';
-import { FlowInputItemType } from '@/types/flow';
-
-const chatModelInput = ({
-  model,
-  temperature,
-  maxToken,
-  systemPrompt,
-  limitPrompt,
-  kbList
-}: {
-  model: string;
-  temperature: number;
-  maxToken: number;
-  systemPrompt: string;
-  limitPrompt: string;
-  kbList: { kbId: string }[];
-}): FlowInputItemType[] => [
-  {
-    key: 'model',
-    value: model,
-    type: 'custom',
-    label: '对话模型',
-    connected: true
-  },
-  {
-    key: 'temperature',
-    value: temperature,
-    label: '温度',
-    type: 'slider',
-    connected: true
-  },
-  {
-    key: 'maxToken',
-    value: maxToken,
-    type: 'custom',
-    label: '回复上限',
-    connected: true
-  },
-  {
-    key: 'systemPrompt',
-    value: systemPrompt,
-    type: 'textarea',
-    label: '系统提示词',
-    connected: true
-  },
-  {
-    key: 'limitPrompt',
-    label: '限定词',
-    type: 'textarea',
-    value: limitPrompt,
-    connected: true
-  },
-  {
-    key: 'switch',
-    type: 'target',
-    label: '触发器',
-    connected: kbList.length > 0
-  },
-  {
-    key: 'quoteQA',
-    type: 'target',
-    label: '引用内容',
-    connected: kbList.length > 0
-  },
-  {
-    key: 'history',
-    type: 'target',
-    label: '聊天记录',
-    connected: true
-  },
-  {
-    key: 'userChatInput',
-    type: 'target',
-    label: '用户问题',
-    connected: true
-  }
-];
-const chatTemplate = ({
-  model,
-  temperature,
-  maxToken,
-  systemPrompt,
-  limitPrompt
-}: {
-  model: string;
-  temperature: number;
-  maxToken: number;
-  systemPrompt: string;
-  limitPrompt: string;
-}) => {
-  return [
-    {
-      flowType: FlowModuleTypeEnum.questionInput,
-      inputs: [
-        {
-          key: 'userChatInput',
-          connected: true
-        }
-      ],
-      outputs: [
-        {
-          key: 'userChatInput',
-          targets: [
-            {
-              moduleId: 'chatModule',
-              key: 'userChatInput'
-            }
-          ]
-        }
-      ],
-      position: {
-        x: 464.32198615344566,
-        y: 1602.2698463081606
-      },
-      moduleId: 'userChatInput'
-    },
-    {
-      flowType: FlowModuleTypeEnum.historyNode,
-      inputs: [
-        {
-          key: 'maxContext',
-          value: 10,
-          connected: true
-        },
-        {
-          key: 'history',
-          connected: true
-        }
-      ],
-      outputs: [
-        {
-          key: 'history',
-          targets: [
-            {
-              moduleId: 'chatModule',
-              key: 'history'
-            }
-          ]
-        }
-      ],
-      position: {
-        x: 452.5466249541586,
-        y: 1276.3930310334215
-      },
-      moduleId: 'history'
-    },
-    {
-      flowType: FlowModuleTypeEnum.chatNode,
-      inputs: chatModelInput({
-        model,
-        temperature,
-        maxToken,
-        systemPrompt,
-        limitPrompt,
-        kbList: []
-      }),
-      outputs: [
-        {
-          key: TaskResponseKeyEnum.answerText,
-          targets: []
-        }
-      ],
-      position: {
-        x: 981.9682828103937,
-        y: 890.014595014464
-      },
-      moduleId: 'chatModule'
-    }
-  ];
-};
-const kbTemplate = ({
-  model,
-  temperature,
-  maxToken,
-  systemPrompt,
-  limitPrompt,
-  kbList = [],
-  searchSimilarity,
-  searchLimit,
-  searchEmptyText
-}: {
-  model: string;
-  temperature: number;
-  maxToken: number;
-  systemPrompt: string;
-  limitPrompt: string;
-  kbList: { kbId: string }[];
-  searchSimilarity: number;
-  searchLimit: number;
-  searchEmptyText: string;
-}) => {
-  return [
-    {
-      flowType: FlowModuleTypeEnum.questionInput,
-      inputs: [
-        {
-          key: 'userChatInput',
-          connected: true
-        }
-      ],
-      outputs: [
-        {
-          key: 'userChatInput',
-          targets: [
-            {
-              moduleId: 'chatModule',
-              key: 'userChatInput'
-            },
-            {
-              moduleId: 'kbSearch',
-              key: 'userChatInput'
-            }
-          ]
-        }
-      ],
-      position: {
-        x: 464.32198615344566,
-        y: 1602.2698463081606
-      },
-      moduleId: 'userChatInput'
-    },
-    {
-      flowType: FlowModuleTypeEnum.historyNode,
-      inputs: [
-        {
-          key: 'maxContext',
-          value: 10,
-          connected: true
-        },
-        {
-          key: 'history',
-          connected: true
-        }
-      ],
-      outputs: [
-        {
-          key: 'history',
-          targets: [
-            {
-              moduleId: 'chatModule',
-              key: 'history'
-            }
-          ]
-        }
-      ],
-      position: {
-        x: 452.5466249541586,
-        y: 1276.3930310334215
-      },
-      moduleId: 'history'
-    },
-    {
-      flowType: FlowModuleTypeEnum.kbSearchNode,
-      inputs: [
-        {
-          key: 'kbList',
-          value: kbList,
-          connected: true
-        },
-        {
-          key: 'similarity',
-          value: searchSimilarity,
-          connected: true
-        },
-        {
-          key: 'limit',
-          value: searchLimit,
-          connected: true
-        },
-        {
-          key: 'switch',
-          connected: false
-        },
-        {
-          key: 'userChatInput',
-          connected: true
-        }
-      ],
-      outputs: [
-        {
-          key: 'isEmpty',
-          targets: searchEmptyText
-            ? [
-                {
-                  moduleId: 'emptyText',
-                  key: 'switch'
-                }
-              ]
-            : [
-                {
-                  moduleId: 'chatModule',
-                  key: 'switch'
-                }
-              ]
-        },
-        {
-          key: 'unEmpty',
-          targets: [
-            {
-              moduleId: 'chatModule',
-              key: 'switch'
-            }
-          ]
-        },
-        {
-          key: 'quoteQA',
-          targets: [
-            {
-              moduleId: 'chatModule',
-              key: 'quoteQA'
-            }
-          ]
-        }
-      ],
-      position: {
-        x: 956.0838440206068,
-        y: 887.462827870246
-      },
-      moduleId: 'kbSearch'
-    },
-    ...(searchEmptyText
-      ? [
-          {
-            flowType: FlowModuleTypeEnum.answerNode,
-            inputs: [
-              {
-                key: 'switch',
-                connected: true
-              },
-              {
-                key: SpecialInputKeyEnum.answerText,
-                value: searchEmptyText,
-                connected: true
-              }
-            ],
-            outputs: [],
-            position: {
-              x: 1553.5815811529146,
-              y: 637.8753731306779
-            },
-            moduleId: 'emptyText'
-          }
-        ]
-      : []),
-    {
-      flowType: FlowModuleTypeEnum.chatNode,
-      inputs: chatModelInput({ model, temperature, maxToken, systemPrompt, limitPrompt, kbList }),
-      outputs: [
-        {
-          key: TaskResponseKeyEnum.answerText,
-          targets: []
-        }
-      ],
-      position: {
-        x: 1551.71405495818,
-        y: 977.4911578918461
-      },
-      moduleId: 'chatModule'
-    }
-  ];
-};
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    await authUser({ req, authRoot: true });
-    await connectToDatabase();
-
-    const { limit = 1000 } = req.body as { limit: number };
-    let skip = 0;
-    const total = await App.countDocuments();
-    let promise = Promise.resolve();
-    console.log(total);
-
-    for (let i = 0; i < total; i += limit) {
-      const skipVal = skip;
-      skip += limit;
-      promise = promise
-        .then(() => init(limit, skipVal))
-        .then(() => {
-          console.log(skipVal);
-        });
-    }
-
-    await promise;
-
-    jsonRes(res, {});
-  } catch (error) {
-    jsonRes(res, {
-      code: 500,
-      error
-    });
-  }
-}
-
-async function init(limit: number, skip: number) {
-  // 遍历 app
-  const apps = await App.find(
-    {
-      chat: { $ne: null },
-      modules: { $exists: false }
-      // userId: '63f9a14228d2a688d8dc9e1b'
-    },
-    '_id chat'
-  ).limit(limit);
-
-  return Promise.all(
-    apps.map(async (app) => {
-      if (!app.chat) return app;
-      const modules = (() => {
-        if (app.chat.relatedKbs.length === 0) {
-          return chatTemplate({
-            model: app.chat.chatModel,
-            temperature: app.chat.temperature,
-            maxToken: app.chat.maxToken,
-            systemPrompt: app.chat.systemPrompt,
-            limitPrompt: app.chat.limitPrompt
-          });
-        } else {
-          return kbTemplate({
-            model: app.chat.chatModel,
-            temperature: app.chat.temperature,
-            maxToken: app.chat.maxToken,
-            systemPrompt: app.chat.systemPrompt,
-            limitPrompt: app.chat.limitPrompt,
-            kbList: app.chat.relatedKbs.map((id) => ({ kbId: id })),
-            searchEmptyText: app.chat.searchEmptyText,
-            searchLimit: app.chat.searchLimit,
-            searchSimilarity: app.chat.searchSimilarity
-          });
-        }
-      })();
-
-      await App.findByIdAndUpdate(app.id, {
-        modules
-      });
-      return modules;
-    })
-  );
-}
--- a/client/src/pages/api/openapi/v1/chat/completions.ts
+++ b/client/src/pages/api/openapi/v1/chat/completions.ts
@@ -31,6 +31,7 @@ import { SystemInputEnum } from '@/constants/app';
 import { getSystemTime } from '@/utils/user';
 import { authOutLinkChat } from '@/service/support/outLink/auth';
 import requestIp from 'request-ip';
+import { replaceVariable } from '@/utils/common/tools/text';

 export type MessageItemType = ChatCompletionRequestMessage & { dataId?: string };
 type FastGptWebChatProps = {
@@ -424,10 +425,7 @@ function loadModules(
          }

          // variables replace
-          const replacedVal = item.value.replace(
-            /{{(.*?)}}/g,
-            (match, key) => variables[key.trim()] || match
-          );
+          const replacedVal = replaceVariable(item.value, variables);

          return {
            key: item.key,
--- a/client/src/pages/app/detail/components/AIChatSettingsModal.tsx
+++ b/client/src/pages/app/detail/components/AIChatSettingsModal.tsx
@@ -0,0 +1,112 @@
+import React from 'react';
+import MyModal from '@/components/MyModal';
+import { useTranslation } from 'react-i18next';
+import { EditFormType } from '@/utils/app';
+import { useForm } from 'react-hook-form';
+import {
+  Box,
+  BoxProps,
+  Button,
+  Flex,
+  Link,
+  ModalBody,
+  ModalFooter,
+  Textarea
+} from '@chakra-ui/react';
+import MyTooltip from '@/components/MyTooltip';
+import { QuestionOutlineIcon } from '@chakra-ui/icons';
+import { defaultQuotePrompt, defaultQuoteTemplate } from '@/prompts/core/AIChat';
+import { feConfigs } from '@/store/static';
+
+const AIChatSettingsModal = ({
+  onClose,
+  onSuccess,
+  defaultData
+}: {
+  onClose: () => void;
+  onSuccess: (e: EditFormType['chatModel']) => void;
+  defaultData: EditFormType['chatModel'];
+}) => {
+  const { t } = useTranslation();
+
+  const { register, handleSubmit } = useForm({
+    defaultValues: defaultData
+  });
+
+  const LabelStyles: BoxProps = {
+    fontWeight: 'bold',
+    mb: 1,
+    fontSize: ['sm', 'md']
+  };
+
+  return (
+    <MyModal
+      isOpen
+      title={
+        <Flex alignItems={'flex-end'}>
+          {t('app.Quote Prompt Settings')}
+          {feConfigs?.show_doc && (
+            <Link
+              href={'https://doc.fastgpt.run/docs/use-cases/prompt/'}
+              target={'_blank'}
+              ml={1}
+              textDecoration={'underline'}
+              fontWeight={'normal'}
+              fontSize={'md'}
+            >
+              查看说明
+            </Link>
+          )}
+        </Flex>
+      }
+      w={'700px'}
+    >
+      <ModalBody>
+        <Box>
+          <Box {...LabelStyles}>
+            引用内容模板
+            <MyTooltip
+              label={t('template.Quote Content Tip', { default: defaultQuoteTemplate })}
+              forceShow
+            >
+              <QuestionOutlineIcon display={['none', 'inline']} ml={1} />
+            </MyTooltip>
+          </Box>
+          <Textarea
+            rows={4}
+            placeholder={t('template.Quote Content Tip', { default: defaultQuoteTemplate }) || ''}
+            borderColor={'myGray.100'}
+            {...register('quoteTemplate')}
+          />
+        </Box>
+        <Box mt={4}>
+          <Box {...LabelStyles}>
+            引用内容提示词
+            <MyTooltip
+              label={t('template.Quote Prompt Tip', { default: defaultQuotePrompt })}
+              forceShow
+            >
+              <QuestionOutlineIcon display={['none', 'inline']} ml={1} />
+            </MyTooltip>
+          </Box>
+          <Textarea
+            rows={6}
+            placeholder={t('template.Quote Prompt Tip', { default: defaultQuotePrompt }) || ''}
+            borderColor={'myGray.100'}
+            {...register('quotePrompt')}
+          />
+        </Box>
+      </ModalBody>
+      <ModalFooter>
+        <Button variant={'base'} onClick={onClose}>
+          {t('Cancel')}
+        </Button>
+        <Button ml={4} onClick={handleSubmit(onSuccess)}>
+          {t('Confirm')}
+        </Button>
+      </ModalFooter>
+    </MyModal>
+  );
+};
+
+export default AIChatSettingsModal;
--- a/client/src/pages/app/detail/components/AdEdit/components/Nodes/NodeChat.tsx
+++ b/client/src/pages/app/detail/components/AdEdit/components/Nodes/NodeChat.tsx
@@ -4,21 +4,36 @@ import NodeCard from '../modules/NodeCard';
 import { FlowModuleItemType } from '@/types/flow';
 import Divider from '../modules/Divider';
 import Container from '../modules/Container';
-import RenderInput from '../render/RenderInput';
+import RenderInput, { Label } from '../render/RenderInput';
 import RenderOutput from '../render/RenderOutput';
 import { FlowOutputItemTypeEnum } from '@/constants/flow';
 import MySelect from '@/components/Select';
 import { chatModelList } from '@/store/static';
 import MySlider from '@/components/Slider';
-import { Box } from '@chakra-ui/react';
+import { Box, Button, Flex, useDisclosure } from '@chakra-ui/react';
 import { formatPrice } from '@/utils/user';
+import MyIcon from '@/components/Icon';
+import dynamic from 'next/dynamic';
+import { AIChatProps } from '@/types/core/aiChat';
+
+const AIChatSettingsModal = dynamic(() => import('../../../AIChatSettingsModal'));

 const NodeChat = ({ data }: NodeProps<FlowModuleItemType>) => {
  const { moduleId, inputs, outputs, onChangeNode } = data;
-  const outputsLen = useMemo(
-    () => outputs.filter((item) => item.type !== FlowOutputItemTypeEnum.hidden).length,
-    [outputs]
-  );
+
+  const chatModulesData = useMemo(() => {
+    const obj: Record<string, any> = {};
+    inputs.forEach((item) => {
+      obj[item.key] = item.value;
+    });
+    return obj as AIChatProps;
+  }, [inputs]);
+
+  const {
+    isOpen: isOpenAIChatSetting,
+    onOpen: onOpenAIChatSetting,
+    onClose: onCloseAIChatSetting
+  } = useDisclosure();

  return (
    <NodeCard minW={'400px'} {...data}>
@@ -109,21 +124,48 @@ const NodeChat = ({ data }: NodeProps<FlowModuleItemType>) => {
                  />
                </Box>
              );
+            },
+            quoteQA: (inputItem) => {
+              return (
+                <Button
+                  variant={'base'}
+                  leftIcon={<MyIcon name={'settingLight'} w={'14px'} />}
+                  onClick={onOpenAIChatSetting}
+                >
+                  引用提示词设置
+                </Button>
+              );
            }
          }}
        />
      </Container>
-      {outputsLen > 0 && (
-        <>
-          <Divider text="Output" />
-          <Container>
-            <RenderOutput
-              onChangeNode={onChangeNode}
-              moduleId={moduleId}
-              flowOutputList={outputs}
-            />
-          </Container>
-        </>
+      <Divider text="Output" />
+      <Container>
+        <RenderOutput onChangeNode={onChangeNode} moduleId={moduleId} flowOutputList={outputs} />
+      </Container>
+
+      {isOpenAIChatSetting && (
+        <AIChatSettingsModal
+          onClose={onCloseAIChatSetting}
+          onSuccess={(e) => {
+            for (let key in e) {
+              const item = inputs.find((input) => input.key === key);
+              if (!item) continue;
+              onChangeNode({
+                moduleId,
+                type: 'inputs',
+                key,
+                value: {
+                  ...item,
+                  // @ts-ignore
+                  value: e[key]
+                }
+              });
+            }
+            onCloseAIChatSetting();
+          }}
+          defaultData={chatModulesData}
+        />
      )}
    </NodeCard>
  );
--- a/client/src/pages/app/detail/components/BasicEdit/index.tsx
+++ b/client/src/pages/app/detail/components/BasicEdit/index.tsx
@@ -63,6 +63,7 @@ import { useDatasetStore } from '@/store/dataset';
 const VariableEditModal = dynamic(() => import('../VariableEditModal'));
 const InfoModal = dynamic(() => import('../InfoModal'));
 const KBSelectModal = dynamic(() => import('../KBSelectModal'));
+const AIChatSettingsModal = dynamic(() => import('../AIChatSettingsModal'));

 const Settings = ({ appId }: { appId: string }) => {
  const theme = useTheme();
@@ -101,6 +102,11 @@ const Settings = ({ appId }: { appId: string }) => {
    name: 'kb.list'
  });

+  const {
+    isOpen: isOpenAIChatSetting,
+    onOpen: onOpenAIChatSetting,
+    onClose: onCloseAIChatSetting
+  } = useDisclosure();
  const {
    isOpen: isOpenKbSelect,
    onOpen: onOpenKbSelect,
@@ -335,51 +341,61 @@ const Settings = ({ appId }: { appId: string }) => {
            +&ensp;新增
          </Flex>
        </Flex>
-        <Box mt={2} borderRadius={'lg'} overflow={'hidden'} borderWidth={'1px'} borderBottom="none">
-          <TableContainer>
-            <Table bg={'white'}>
-              <Thead>
-                <Tr>
-                  <Th>变量名</Th>
-                  <Th>变量 key</Th>
-                  <Th>必填</Th>
-                  <Th></Th>
-                </Tr>
-              </Thead>
-              <Tbody>
-                {variables.map((item, index) => (
-                  <Tr key={item.id}>
-                    <Td>{item.label} </Td>
-                    <Td>{item.key}</Td>
-                    <Td>{item.required ? '✔' : ''}</Td>
-                    <Td>
-                      <MyIcon
-                        mr={3}
-                        name={'settingLight'}
-                        w={'16px'}
-                        cursor={'pointer'}
-                        onClick={() => setEditVariable(item)}
-                      />
-                      <MyIcon
-                        name={'delete'}
-                        w={'16px'}
-                        cursor={'pointer'}
-                        onClick={() => removeVariable(index)}
-                      />
-                    </Td>
+        {variables.length > 0 && (
+          <Box
+            mt={2}
+            borderRadius={'lg'}
+            overflow={'hidden'}
+            borderWidth={'1px'}
+            borderBottom="none"
+          >
+            <TableContainer>
+              <Table bg={'white'}>
+                <Thead>
+                  <Tr>
+                    <Th>变量名</Th>
+                    <Th>变量 key</Th>
+                    <Th>必填</Th>
+                    <Th></Th>
                  </Tr>
-                ))}
-              </Tbody>
-            </Table>
-          </TableContainer>
-        </Box>
+                </Thead>
+                <Tbody>
+                  {variables.map((item, index) => (
+                    <Tr key={item.id}>
+                      <Td>{item.label} </Td>
+                      <Td>{item.key}</Td>
+                      <Td>{item.required ? '✔' : ''}</Td>
+                      <Td>
+                        <MyIcon
+                          mr={3}
+                          name={'settingLight'}
+                          w={'16px'}
+                          cursor={'pointer'}
+                          onClick={() => setEditVariable(item)}
+                        />
+                        <MyIcon
+                          name={'delete'}
+                          w={'16px'}
+                          cursor={'pointer'}
+                          onClick={() => removeVariable(index)}
+                        />
+                      </Td>
+                    </Tr>
+                  ))}
+                </Tbody>
+              </Table>
+            </TableContainer>
+          </Box>
+        )}
      </Box>

      {/* model */}
      <Box mt={5} {...BoxStyles}>
        <Flex alignItems={'center'}>
          <Avatar src={'/imgs/module/AI.png'} w={'18px'} />
-          <Box ml={2}>AI 配置</Box>
+          <Box ml={2} flex={1}>
+            AI 配置
+          </Box>
        </Flex>

        <Flex alignItems={'center'} mt={5}>
@@ -452,20 +468,6 @@ const Settings = ({ appId }: { appId: string }) => {
            {...register('chatModel.systemPrompt')}
          ></Textarea>
        </Flex>
-        <Flex mt={5} alignItems={'flex-start'}>
-          <Box {...LabelStyles}>
-            限定词
-            <MyTooltip label={ChatModelLimitTip} forceShow>
-              <QuestionOutlineIcon display={['none', 'inline']} ml={1} />
-            </MyTooltip>
-          </Box>
-          <Textarea
-            rows={5}
-            placeholder={ChatModelLimitTip}
-            borderColor={'myGray.100'}
-            {...register('chatModel.limitPrompt')}
-          ></Textarea>
-        </Flex>
      </Box>

      {/* kb */}
@@ -483,6 +485,10 @@ const Settings = ({ appId }: { appId: string }) => {
            <MyIcon name={'edit'} w={'14px'} mr={1} />
            参数
          </Flex>
+          <Flex {...BoxBtnStyles} onClick={onOpenAIChatSetting}>
+            <MyIcon mr={1} name={'settingLight'} w={'14px'} />
+            提示词
+          </Flex>
        </Flex>
        <Flex mt={1} color={'myGray.600'} fontSize={['sm', 'md']}>
          相似度: {getValues('kb.searchSimilarity')}, 单次搜索数量: {getValues('kb.searchLimit')},
@@ -548,6 +554,16 @@ const Settings = ({ appId }: { appId: string }) => {
          }}
        />
      )}
+      {isOpenAIChatSetting && (
+        <AIChatSettingsModal
+          onClose={onCloseAIChatSetting}
+          onSuccess={(e) => {
+            setValue('chatModel', e);
+            onCloseAIChatSetting();
+          }}
+          defaultData={getValues('chatModel')}
+        />
+      )}
      {isOpenKbSelect && (
        <KBSelectModal
          activeKbs={selectedKbList.map((item) => ({
--- a/client/src/pages/app/detail/components/InfoModal.tsx
+++ b/client/src/pages/app/detail/components/InfoModal.tsx
@@ -55,7 +55,6 @@ const InfoModal = ({
        name: data.name,
        avatar: data.avatar,
        intro: data.intro,
-        chat: data.chat,
        share: data.share
      });
    },
--- a/client/src/pages/app/detail/components/OutLink.tsx
+++ b/client/src/pages/app/detail/components/OutLink.tsx
@@ -282,8 +282,6 @@ export function EditLinkModal({
  return (
    <MyModal
      isOpen={true}
-      showCloseBtn={false}
-      onClose={() => {}}
      title={isEdit ? titleMap.current.edit[type] : titleMap.current.create[type]}
    >
      <ModalBody>
--- a/client/src/pages/kb/detail/components/InputDataModal.tsx
+++ b/client/src/pages/kb/detail/components/InputDataModal.tsx
@@ -168,7 +168,7 @@ const InputDataModal = ({
          </Box>
          <Box flex={1} h={['50%', '100%']}>
            <Flex>
-              <Box h={'30px'}>{'预期答案'}</Box>
+              <Box h={'30px'}>{'补充内容'}</Box>
              <MyTooltip
                label={'匹配的知识点被命中后，这部分内容会随匹配知识点一起注入模型，引导模型回答'}
              >
@@ -177,9 +177,8 @@ const InputDataModal = ({
            </Flex>
            <Textarea
              placeholder={
-                '预期答案。这部分内容不会被搜索，但会作为"匹配的知识点"的内容补充，通常是问题的答案。总和最多 3000 字。'
+                '这部分内容不会被搜索，但会作为"匹配的知识点"的内容补充，通常是问题的答案。'
              }
-              maxLength={3000}
              resize={'none'}
              h={'calc(100% - 30px)'}
              {...register('a')}
--- a/client/src/prompts/core/AIChat.ts
+++ b/client/src/prompts/core/AIChat.ts
@@ -0,0 +1,10 @@
+export const defaultQuoteTemplate = `{instruction:"{{q}}",output:"{{a}}"}`;
+export const defaultQuotePrompt = `你的背景知识:
+"""
+{{quote}}
+"""
+对话要求：
+1. 背景知识是最新的，其中 instruction 是相关介绍，output 是预期回答或补充。
+2. 使用背景知识回答问题。
+3. 背景知识无法满足问题时，你需严谨的回答问题。
+我的问题是:"{{question}}"`;
--- a/client/src/service/moduleDispatch/chat/oneapi.ts
+++ b/client/src/service/moduleDispatch/chat/oneapi.ts
@@ -17,12 +17,12 @@ import { ChatCompletionRequestMessageRoleEnum } from 'openai';
 import { AppModuleItemType } from '@/types/app';
 import { countMessagesTokens, sliceMessagesTB } from '@/utils/common/tiktoken';
 import { adaptChat2GptMessages } from '@/utils/common/adapt/message';
+import { defaultQuotePrompt, defaultQuoteTemplate } from '@/prompts/core/AIChat';
+import type { AIChatProps } from '@/types/core/aiChat';
+import { replaceVariable } from '@/utils/common/tools/text';

-export type ChatProps = {
+export type ChatProps = AIChatProps & {
  res: NextApiResponse;
-  model: string;
-  temperature?: number;
-  maxToken?: number;
  history?: ChatItemType[];
  userChatInput: string;
  stream?: boolean;
@@ -52,7 +52,9 @@ export const dispatchChatCompletion = async (props: Record<string, any>): Promis
    quoteQA = [],
    userChatInput,
    systemPrompt = '',
-    limitPrompt = '',
+    limitPrompt,
+    quoteTemplate,
+    quotePrompt,
    userOpenaiAccount,
    outputs
  } = props as ChatProps;
@@ -67,16 +69,16 @@ export const dispatchChatCompletion = async (props: Record<string, any>): Promis
    return Promise.reject('The chat model is undefined, you need to select a chat model.');
  }

-  const { filterQuoteQA, quotePrompt, hasQuoteOutput } = filterQuote({
+  const { filterQuoteQA, quoteText, hasQuoteOutput } = filterQuote({
    quoteQA,
-    model: modelConstantsData
+    model: modelConstantsData,
+    quoteTemplate
  });

  if (modelConstantsData.censor) {
    await textCensor({
      text: `${systemPrompt}
-      ${quotePrompt}
-      ${limitPrompt}
+      ${quoteText}
      ${userChatInput}
      `
    });
@@ -85,6 +87,7 @@ export const dispatchChatCompletion = async (props: Record<string, any>): Promis
  const { messages, filterMessages } = getChatMessages({
    model: modelConstantsData,
    history,
+    quoteText,
    quotePrompt,
    userChatInput,
    systemPrompt,
@@ -189,39 +192,40 @@ export const dispatchChatCompletion = async (props: Record<string, any>): Promis

 function filterQuote({
  quoteQA = [],
-  model
+  model,
+  quoteTemplate
 }: {
  quoteQA: ChatProps['quoteQA'];
  model: ChatModelItemType;
+  quoteTemplate?: string;
 }) {
  const sliceResult = sliceMessagesTB({
    maxTokens: model.quoteMaxToken,
    messages: quoteQA.map((item) => ({
      obj: ChatRoleEnum.System,
-      value: item.a ? `${item.q}\n${item.a}` : item.q
+      value: replaceVariable(quoteTemplate || defaultQuoteTemplate, item)
    }))
  });

  // slice filterSearch
  const filterQuoteQA = quoteQA.slice(0, sliceResult.length);

-  const quotePrompt =
+  const quoteText =
    filterQuoteQA.length > 0
-      ? `"""${filterQuoteQA
-          .map((item) =>
-            item.a ? `{instruction:"${item.q}",output:"${item.a}"}` : `{instruction:"${item.q}"}`
-          )
-          .join('\n')}"""`
+      ? `${filterQuoteQA
+          .map((item) => replaceVariable(quoteTemplate || defaultQuoteTemplate, item))
+          .join('\n')}`
      : '';

  return {
    filterQuoteQA,
-    quotePrompt,
+    quoteText,
    hasQuoteOutput: !!filterQuoteQA.find((item) => item.a)
  };
 }
 function getChatMessages({
  quotePrompt,
+  quoteText,
  history = [],
  systemPrompt,
  limitPrompt,
@@ -229,32 +233,28 @@ function getChatMessages({
  model,
  hasQuoteOutput
 }: {
-  quotePrompt: string;
+  quotePrompt?: string;
+  quoteText: string;
  history: ChatProps['history'];
  systemPrompt: string;
-  limitPrompt: string;
+  limitPrompt?: string;
  userChatInput: string;
  model: ChatModelItemType;
  hasQuoteOutput: boolean;
 }) {
-  const { quoteGuidePrompt } = getDefaultPrompt({ hasQuoteOutput });
-
-  const systemText = `${quotePrompt ? `${quoteGuidePrompt}\n\n` : ''}${systemPrompt}`;
+  const question = hasQuoteOutput
+    ? replaceVariable(quotePrompt || defaultQuotePrompt, {
+        quote: quoteText,
+        question: userChatInput
+      })
+    : userChatInput;

  const messages: ChatItemType[] = [
-    ...(systemText
+    ...(systemPrompt
      ? [
          {
            obj: ChatRoleEnum.System,
-            value: systemText
-          }
-        ]
-      : []),
-    ...(quotePrompt
-      ? [
-          {
-            obj: ChatRoleEnum.System,
-            value: quotePrompt
+            value: systemPrompt
          }
        ]
      : []),
@@ -269,7 +269,7 @@ function getChatMessages({
      : []),
    {
      obj: ChatRoleEnum.Human,
-      value: userChatInput
+      value: question
    }
  ];

@@ -375,11 +375,3 @@ async function streamResponse({
    answer
  };
 }
-
-function getDefaultPrompt({ hasQuoteOutput }: { hasQuoteOutput?: boolean }) {
-  return {
-    quoteGuidePrompt: `三引号引用的内容是我提供给你的知识库，它们拥有最高优先级。instruction 是相关介绍${
-      hasQuoteOutput ? '，output 是预期回答或补充。' : '。'
-    }`
-  };
-}
--- a/client/src/types/core/aiChat.d.ts
+++ b/client/src/types/core/aiChat.d.ts
@@ -0,0 +1,10 @@
+export type AIChatProps = {
+  model: string;
+  systemPrompt: string;
+  temperature: number;
+  maxToken: number;
+  quoteTemplate?: string;
+  quotePrompt?: string;
+  frequency: number;
+  presence: number;
+};
--- a/client/src/types/mongoSchema.d.ts
+++ b/client/src/types/mongoSchema.d.ts
@@ -50,17 +50,6 @@ export interface AppSchema {
    collection: number;
  };
  modules: AppModuleItemType[];
-  chat?: {
-    relatedKbs: string[];
-    searchSimilarity: number;
-    searchLimit: number;
-    searchEmptyText: string;
-    systemPrompt: string;
-    limitPrompt: string;
-    temperature: number;
-    maxToken: number;
-    chatModel: ChatModelType; // 聊天时用的模型，训练后就是训练的模型
-  };
 }

 export interface CollectionSchema {
--- a/client/src/utils/app.ts
+++ b/client/src/utils/app.ts
@@ -1,5 +1,5 @@
 import type { AppModuleItemType, VariableItemType } from '@/types/app';
-import { chatModelList, vectorModelList } from '@/store/static';
+import { chatModelList } from '@/store/static';
 import {
  FlowInputItemTypeEnum,
  FlowModuleTypeEnum,
@@ -7,20 +7,12 @@ import {
  SpecialInputKeyEnum
 } from '@/constants/flow';
 import { SystemInputEnum } from '@/constants/app';
-import { TaskResponseKeyEnum } from '@/constants/chat';
 import type { SelectedKbType } from '@/types/plugin';
 import { FlowInputItemType } from '@/types/flow';
+import type { AIChatProps } from '@/types/core/aiChat';

 export type EditFormType = {
-  chatModel: {
-    model: string;
-    systemPrompt: string;
-    limitPrompt: string;
-    temperature: number;
-    maxToken: number;
-    frequency: number;
-    presence: number;
-  };
+  chatModel: AIChatProps;
  kb: {
    list: SelectedKbType;
    searchSimilarity: number;
@@ -41,8 +33,9 @@ export const getDefaultAppForm = (): EditFormType => {
    chatModel: {
      model: defaultChatModel.model,
      systemPrompt: '',
-      limitPrompt: '',
      temperature: 0,
+      quotePrompt: '',
+      quoteTemplate: '',
      maxToken: defaultChatModel.contextMaxToken / 2,
      frequency: 0.5,
      presence: -0.5
@@ -109,9 +102,14 @@ export const appModules2Form = (modules: AppModuleItemType[]) => {
        key: 'systemPrompt'
      });
      updateVal({
-        formKey: 'chatModel.limitPrompt',
+        formKey: 'chatModel.quoteTemplate',
        inputs: module.inputs,
-        key: 'limitPrompt'
+        key: 'quoteTemplate'
+      });
+      updateVal({
+        formKey: 'chatModel.quotePrompt',
+        inputs: module.inputs,
+        key: 'quotePrompt'
      });
    } else if (module.flowType === FlowModuleTypeEnum.kbSearchNode) {
      updateVal({
@@ -178,16 +176,23 @@ const chatModelInput = (formData: EditFormType): FlowInputItemType[] => [
  },
  {
    key: 'systemPrompt',
-    value: formData.chatModel.systemPrompt,
+    value: formData.chatModel.systemPrompt || '',
    type: 'textarea',
    label: '系统提示词',
    connected: true
  },
  {
-    key: 'limitPrompt',
-    type: 'textarea',
-    value: formData.chatModel.limitPrompt,
-    label: '限定词',
+    key: 'quoteTemplate',
+    value: formData.chatModel.quoteTemplate || '',
+    type: 'hidden',
+    label: '引用内容模板',
+    connected: true
+  },
+  {
+    key: 'quotePrompt',
+    value: formData.chatModel.quotePrompt || '',
+    type: 'hidden',
+    label: '引用内容提示词',
    connected: true
  },
  {
--- a/client/src/utils/common/tiktoken/index.ts
+++ b/client/src/utils/common/tiktoken/index.ts
@@ -81,7 +81,7 @@ export function sliceMessagesTB({
    const tokens = countPromptTokens(item.content, item.role);
    reduceTokens -= tokens;

-    if (tokens > 0) {
+    if (reduceTokens > 0) {
      result.push(messages[i]);
    } else {
      break;
--- a/client/src/utils/common/tools/text.ts
+++ b/client/src/utils/common/tools/text.ts
@@ -0,0 +1,12 @@
+/* 
+    replace {{variable}} to value
+*/
+export function replaceVariable(text: string, obj: Record<string, string>) {
+  for (const key in obj) {
+    const val = obj[key];
+    if (typeof val !== 'string') continue;
+
+    text = text.replace(new RegExp(`{{(${key})}}`, 'g'), val);
+  }
+  return text || '';
+}