feat: limit prompt

client/src/api/response/chat.d.ts

@@ -5,6 +5,7 @@ export interface InitChatResponse {
   chatId: string;
   modelId: string;
   systemPrompt?: string;
+  limitPrompt?: string;
   model: {
     name: string;
     avatar: string;

client/src/components/Select/index.tsx

@@ -26,7 +26,7 @@ const MySelect = ({ placeholder, value, width = 'auto', list, onchange, ...props
 
   return (
     <Menu autoSelect={false} onOpen={onOpen} onClose={onClose}>
-      <MenuButton as={'span'}>
+      <MenuButton style={{ width: '100%' }} as={'span'}>
         <Button
           width={width}
           px={3}

client/src/constants/model.ts

@@ -82,6 +82,7 @@ export const defaultModel: ModelSchema = {
     searchLimit: 5,
     searchEmptyText: '',
     systemPrompt: '',
+    limitPrompt: '',
     temperature: 0,
     maxToken: 4000,
     chatModel: OpenAiChatEnum.GPT35

client/src/pages/api/chat/init.ts

@@ -101,6 +101,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
         },
         chatModel: model.chat.chatModel,
         systemPrompt: isOwner ? model.chat.systemPrompt : '',
+        limitPrompt: isOwner ? model.chat.limitPrompt : '',
         history
       }
     });

client/src/pages/api/openapi/kb/appKbSearch.ts

@@ -28,7 +28,11 @@ type Response = {
   userSystemPrompt: {
     obj: ChatRoleEnum;
     value: string;
-  };
+  }[];
+  userLimitPrompt: {
+    obj: ChatRoleEnum;
+    value: string;
+  }[];
   quotePrompt: {
     obj: ChatRoleEnum;
     value: string;
@@ -130,17 +134,24 @@ export async function appKbSearch({
 
   // 计算固定提示词的 token 数量
   const userSystemPrompt = model.chat.systemPrompt // user system prompt
-    ? {
-        obj: ChatRoleEnum.Human,
-        value: model.chat.systemPrompt
-      }
-    : {
-        obj: ChatRoleEnum.Human,
-        value: `知识库是关于 ${model.name} 的内容，参考知识库回答问题。与 "${model.name}" 无关内容，直接回复: "我不知道"。`
-      };
+    ? [
+        {
+          obj: ChatRoleEnum.System,
+          value: model.chat.systemPrompt
+        }
+      ]
+    : [];
+  const userLimitPrompt = [
+    {
+      obj: ChatRoleEnum.Human,
+      value: model.chat.limitPrompt
+        ? model.chat.limitPrompt
+        : `知识库是关于 ${model.name} 的内容，参考知识库回答问题。与 "${model.name}" 无关内容，直接回复: "我不知道"。`
+    }
+  ];
 
   const fixedSystemTokens = modelToolMap[model.chat.chatModel].countTokens({
-    messages: [userSystemPrompt]
+    messages: [...userSystemPrompt, ...userLimitPrompt]
   });
 
   // filter part quote by maxToken
@@ -164,6 +175,7 @@ export async function appKbSearch({
   return {
     rawSearch,
     userSystemPrompt,
+    userLimitPrompt,
     quotePrompt: {
       obj: ChatRoleEnum.System,
       value: quoteText

client/src/pages/api/openapi/v1/chat/completions.ts

@@ -108,11 +108,12 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
     const {
       rawSearch = [],
       userSystemPrompt = [],
+      userLimitPrompt = [],
       quotePrompt = []
     } = await (async () => {
       // 使用了知识库搜索
       if (model.chat.relatedKbs?.length > 0) {
-        const { rawSearch, userSystemPrompt, quotePrompt } = await appKbSearch({
+        const { rawSearch, quotePrompt, userSystemPrompt, userLimitPrompt } = await appKbSearch({
           model,
           userId,
           fixedQuote: history[history.length - 1]?.quote,
@@ -123,21 +124,29 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
 
         return {
           rawSearch,
-          userSystemPrompt: userSystemPrompt ? [userSystemPrompt] : [],
+          userSystemPrompt,
+          userLimitPrompt,
           quotePrompt: [quotePrompt]
         };
       }
-      if (model.chat.systemPrompt) {
-        return {
-          userSystemPrompt: [
-            {
-              obj: ChatRoleEnum.System,
-              value: model.chat.systemPrompt
-            }
-          ]
-        };
-      }
-      return {};
+      return {
+        userSystemPrompt: model.chat.systemPrompt
+          ? [
+              {
+                obj: ChatRoleEnum.System,
+                value: model.chat.systemPrompt
+              }
+            ]
+          : [],
+        userLimitPrompt: model.chat.limitPrompt
+          ? [
+              {
+                obj: ChatRoleEnum.Human,
+                value: model.chat.limitPrompt
+              }
+            ]
+          : []
+      };
     })();
 
     // search result is empty
@@ -167,7 +176,13 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
     }
 
     // api messages. [quote,context,systemPrompt,question]
-    const completePrompts = [...quotePrompt, ...prompts.slice(0, -1), ...userSystemPrompt, prompt];
+    const completePrompts = [
+      ...quotePrompt,
+      ...userSystemPrompt,
+      ...prompts.slice(0, -1),
+      ...userLimitPrompt,
+      prompt
+    ];
     // chat temperature
     const modelConstantsData = ChatModelMap[model.chat.chatModel];
     // FastGpt temperature range: 1~10
@@ -176,7 +191,7 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
     );
 
     await sensitiveCheck({
-      input: `${prompt.value}`
+      input: `${userSystemPrompt[0]?.value}\n${userLimitPrompt[0]?.value}\n${prompt.value}`
     });
 
     // start model api. responseText and totalTokens: valid only if stream = false
@@ -259,7 +274,7 @@ export default withNextCors(async function handler(req: NextApiRequest, res: Nex
             ...(showAppDetail
               ? {
                   quote: rawSearch,
-                  systemPrompt: userSystemPrompt?.[0]?.value
+                  systemPrompt: `${userSystemPrompt[0]?.value}\n\n${userLimitPrompt[0]?.value}`
                 }
               : {})
           }

client/src/pages/chat/index.tsx

@@ -219,7 +219,7 @@ const Chat = ({ modelId, chatId }: { modelId: string; chatId: string }) => {
             ...item,
             status: 'finish',
             quoteLen,
-            systemPrompt: chatData.systemPrompt
+            systemPrompt: `${chatData.systemPrompt}\n\n${chatData.limitPrompt}`
           };
         })
       }));
@@ -234,13 +234,14 @@ const Chat = ({ modelId, chatId }: { modelId: string; chatId: string }) => {
     [
       chatId,
       modelId,
-      chatData.systemPrompt,
       setChatData,
-      loadHistory,
-      loadMyModels,
       generatingMessage,
       setForbidLoadChatData,
-      router
+      router,
+      chatData.systemPrompt,
+      chatData.limitPrompt,
+      loadHistory,
+      loadMyModels
     ]
   );
 
@@ -749,7 +750,7 @@ const Chat = ({ modelId, chatId }: { modelId: string; chatId: string }) => {
                                 px={[2, 4]}
                                 onClick={() => setShowSystemPrompt(item.systemPrompt || '')}
                               >
-                                提示词
+                                提示词 & 限定词
                               </Button>
                             )}
                             {!!item.quoteLen && (

client/src/pages/model/components/detail/components/Settings.tsx

 import React, { useCallback, useState, useMemo } from 'react';
-import { Box, Flex, Button, FormControl, Input, Textarea, Divider } from '@chakra-ui/react';
+import {
+  Box,
+  Flex,
+  Button,
+  FormControl,
+  Input,
+  Textarea,
+  Divider,
+  Tooltip
+} from '@chakra-ui/react';
+import { QuestionOutlineIcon } from '@chakra-ui/icons';
 import { useQuery } from '@tanstack/react-query';
 import { useForm } from 'react-hook-form';
 import { useRouter } from 'next/router';
@@ -20,6 +30,11 @@ import Avatar from '@/components/Avatar';
 import MySelect from '@/components/Select';
 import MySlider from '@/components/Slider';
 
+const systemPromptTip =
+  '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。';
+const limitPromptTip =
+  '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。例如:\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"';
+
 const Settings = ({ modelId }: { modelId: string }) => {
   const { toast } = useToast();
   const router = useRouter();
@@ -60,7 +75,7 @@ const Settings = ({ modelId }: { modelId: string }) => {
     }
 
     return max;
-  }, [getValues, setValue, refresh]);
+  }, [getValues, setValue]);
 
   // 提交保存模型修改
   const saveSubmitSuccess = useCallback(
@@ -211,7 +226,7 @@ const Settings = ({ modelId }: { modelId: string }) => {
           介绍
         </Box>
         <Textarea
-          rows={5}
+          rows={4}
           maxLength={500}
           placeholder={'给你的 AI 应用一个介绍'}
           {...register('intro')}
@@ -225,11 +240,14 @@ const Settings = ({ modelId }: { modelId: string }) => {
           对话模型
         </Box>
         <MySelect
-          width={['200px', '240px']}
+          width={['100%', '280px']}
           value={getValues('chat.chatModel')}
           list={chatModelList.map((item) => ({
             id: item.chatModel,
-            label: item.name
+            label: `${item.name} (${formatPrice(
+              ChatModelMap[getValues('chat.chatModel')]?.price,
+              1000
+            )} 元/1k tokens)`
           }))}
           onchange={(val: any) => {
             setValue('chat.chatModel', val);
@@ -237,15 +255,6 @@ const Settings = ({ modelId }: { modelId: string }) => {
           }}
         />
       </Flex>
-      <Flex alignItems={'center'} mt={5}>
-        <Box w={['60px', '100px', '140px']} flexShrink={0}>
-          价格
-        </Box>
-        <Box fontSize={['sm', 'md']}>
-          {formatPrice(ChatModelMap[getValues('chat.chatModel')]?.price, 1000)}
-          元/1K tokens(包括上下文和回答)
-        </Box>
-      </Flex>
       <Flex alignItems={'center'} my={10}>
         <Box w={['60px', '100px', '140px']} flexShrink={0}>
           温度
@@ -269,7 +278,7 @@ const Settings = ({ modelId }: { modelId: string }) => {
       </Flex>
       <Flex alignItems={'center'} mt={12} mb={10}>
         <Box w={['60px', '100px', '140px']} flexShrink={0}>
-          最大长度
+          回复上限
         </Box>
         <Box flex={1} ml={'10px'}>
           <MySlider
@@ -292,15 +301,29 @@ const Settings = ({ modelId }: { modelId: string }) => {
       <Flex mt={10} alignItems={'flex-start'}>
         <Box w={['60px', '100px', '140px']} flexShrink={0}>
           提示词
+          <Tooltip label={systemPromptTip}>
+            <QuestionOutlineIcon display={['none', 'inline']} ml={1} />
+          </Tooltip>
         </Box>
         <Textarea
           rows={8}
-          placeholder={
-            '模型默认的 prompt 词，通过调整该内容，可以引导模型聊天方向。\n\n如果使用了知识库搜索，没有填写该内容时，系统会自动补充提示词；如果填写了内容，则以填写的内容为准。'
-          }
+          placeholder={systemPromptTip}
           {...register('chat.systemPrompt')}
         ></Textarea>
       </Flex>
+      <Flex mt={5} alignItems={'flex-start'}>
+        <Box w={['60px', '100px', '140px']} flexShrink={0}>
+          限定词
+          <Tooltip label={limitPromptTip}>
+            <QuestionOutlineIcon display={['none', 'inline']} ml={1} />
+          </Tooltip>
+        </Box>
+        <Textarea
+          rows={5}
+          placeholder={limitPromptTip}
+          {...register('chat.limitPrompt')}
+        ></Textarea>
+      </Flex>
 
       <Flex mt={5} alignItems={'center'}>
         <Box w={['60px', '100px', '140px']} flexShrink={0}></Box>

client/src/service/models/model.ts

@@ -43,7 +43,10 @@ const ModelSchema = new Schema({
       default: ''
     },
     systemPrompt: {
-      // 系统提示词
+      type: String,
+      default: ''
+    },
+    limitPrompt: {
       type: String,
       default: ''
     },

client/src/types/mongoSchema.d.ts

@@ -43,6 +43,7 @@ export interface ModelSchema {
     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