perf: response store

client/data/config.json

@@ -23,7 +23,7 @@
       "model": "gpt-3.5-turbo",
       "name": "FastAI-4k",
       "contextMaxToken": 4000,
-      "systemMaxToken": 2400,
+      "quoteMaxToken": 2000,
       "maxTemperature": 1.2,
       "price": 1.5
     },
@@ -31,7 +31,7 @@
       "model": "gpt-3.5-turbo-16k",
       "name": "FastAI-16k",
       "contextMaxToken": 16000,
-      "systemMaxToken": 8000,
+      "quoteMaxToken": 8000,
       "maxTemperature": 1.2,
       "price": 3
     },
@@ -39,7 +39,7 @@
       "model": "gpt-4",
       "name": "FastAI-Plus",
       "contextMaxToken": 8000,
-      "systemMaxToken": 4000,
+      "quoteMaxToken": 4000,
       "maxTemperature": 1.2,
       "price": 45
     }

client/src/api/fetch.ts

@@ -1,7 +1,7 @@
-import { sseResponseEventEnum } from '@/constants/chat';
+import { sseResponseEventEnum, TaskResponseKeyEnum } from '@/constants/chat';
 import { getErrText } from '@/utils/tools';
 import { parseStreamChunk } from '@/utils/adapt';
-import { QuoteItemType } from '@/types/chat';
+import type { ChatHistoryItemResType } from '@/types/chat';
 
 interface StreamFetchProps {
   url?: string;
@@ -17,8 +17,7 @@ export const streamFetch = ({
 }: StreamFetchProps) =>
   new Promise<{
     responseText: string;
-    errMsg: string;
+    [TaskResponseKeyEnum.responseData]: ChatHistoryItemResType[];
-    newChatId: string | null;
   }>(async (resolve, reject) => {
     try {
       const response = await window.fetch(url, {
@@ -42,7 +41,7 @@ export const streamFetch = ({
       // response data
       let responseText = '';
       let errMsg = '';
-      const newChatId = response.headers.get('newChatId');
+      let responseData: ChatHistoryItemResType[] = [];
 
       const read = async () => {
         try {
@@ -51,8 +50,7 @@ export const streamFetch = ({
             if (response.status === 200 && !errMsg) {
               return resolve({
                 responseText,
-                errMsg,
+                responseData
-                newChatId
               });
             } else {
               return reject({
@@ -78,7 +76,7 @@ export const streamFetch = ({
               onMessage(answer);
               responseText += answer;
             } else if (item.event === sseResponseEventEnum.appStreamResponse) {
-              console.log(data);
+              responseData = data;
             } else if (item.event === sseResponseEventEnum.error) {
               errMsg = getErrText(data, '流响应错误');
             }
@@ -88,8 +86,7 @@ export const streamFetch = ({
           if (err?.message === 'The user aborted a request.') {
             return resolve({
               responseText,
-              errMsg,
+              responseData
-              newChatId
             });
           }
           reject(getErrText(err, '请求异常'));

client/src/components/ChatBox/ResponseDetailModal.tsx

@@ -0,0 +1,7 @@
+import React from 'react';
+
+const ResponseDetailModal = () => {
+  return <div>ResponseDetailModal</div>;
+};
+
+export default ResponseDetailModal;

client/src/components/ChatBox/index.tsx

@@ -9,7 +9,12 @@ import React, {
   useEffect
 } from 'react';
 import { throttle } from 'lodash';
-import { ChatItemType, ChatSiteItemType, ExportChatType } from '@/types/chat';
+import {
+  ChatHistoryItemResType,
+  ChatItemType,
+  ChatSiteItemType,
+  ExportChatType
+} from '@/types/chat';
 import { useToast } from '@/hooks/useToast';
 import {
   useCopyData,
@@ -35,6 +40,7 @@ import { useRouter } from 'next/router';
 import { useGlobalStore } from '@/store/global';
 import { QuoteItemType } from '@/types/chat';
 import { FlowModuleTypeEnum } from '@/constants/flow';
+import { TaskResponseKeyEnum } from '@/constants/chat';
 
 import dynamic from 'next/dynamic';
 const QuoteModal = dynamic(() => import('./QuoteModal'));
@@ -131,9 +137,10 @@ const ChatBox = (
     variableModules?: VariableItemType[];
     welcomeText?: string;
     onUpdateVariable?: (e: Record<string, any>) => void;
-    onStartChat: (
+    onStartChat: (e: StartChatFnProps) => Promise<{
-      e: StartChatFnProps
+      responseText: string;
-    ) => Promise<{ responseText?: string; rawSearch?: QuoteItemType[] }>;
+      [TaskResponseKeyEnum.responseData]: ChatHistoryItemResType[];
+    }>;
     onDelMessage?: (e: { contentId?: string; index: number }) => void;
   },
   ref: ForwardedRef<ComponentRef>
@@ -294,7 +301,7 @@ const ChatBox = (
 
         const messages = adaptChatItem_openAI({ messages: newChatList, reserveId: true });
 
-        const { rawSearch } = await onStartChat({
+        const { responseData } = await onStartChat({
           messages,
           controller: abortSignal,
           generatingMessage,
@@ -308,7 +315,7 @@ const ChatBox = (
             return {
               ...item,
               status: 'finish',
-              rawSearch
+              responseData
             };
           })
         );

client/src/constants/chat.ts

@@ -51,5 +51,11 @@ export const ChatSourceMap = {
   }
 };
 
+export enum ChatModuleEnum {
+  'AIChat' = 'AI Chat',
+  'KBSearch' = 'KB Search',
+  'CQ' = 'Classify Question'
+}
+
 export const HUMAN_ICON = `https://fastgpt.run/icon/human.png`;
 export const LOGO_ICON = `https://fastgpt.run/icon/logo.png`;

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

@@ -25,7 +25,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
     // 删除一条数据库记录
     await Chat.updateOne(
       {
-        _id: chatId,
+        chatId,
         userId
       },
       { $pull: { content: { _id: contentId } } }

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

@@ -8,6 +8,7 @@ import { authApp } from '@/service/utils/auth';
 import mongoose from 'mongoose';
 import type { ChatSchema } from '@/types/mongoSchema';
 import { getSpecialModule } from '@/components/ChatBox';
+import { TaskResponseKeyEnum } from '@/constants/chat';
 
 /* 初始化我的聊天框，需要身份验证 */
 export default async function handler(req: NextApiRequest, res: NextApiResponse) {
@@ -67,7 +68,8 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
                 $project: {
                   _id: '$content._id',
                   obj: '$content.obj',
-                  value: '$content.value'
+                  value: '$content.value',
+                  [TaskResponseKeyEnum.responseData]: `$content.${TaskResponseKeyEnum.responseData}`
                 }
               }
             ])

client/src/pages/api/openapi/text/gptMessagesSlice.ts

@@ -46,7 +46,7 @@ export function gpt_chatItemTokenSlice({
   maxToken
 }: {
   messages: ChatItemType[];
-  model?: ModelType;
+  model?: string;
   maxToken: number;
 }) {
   let result: ChatItemType[] = [];

client/src/pages/api/system/getInitData.ts

@@ -68,7 +68,7 @@ export function setDefaultData() {
       model: 'gpt-3.5-turbo',
       name: 'FastAI-4k',
       contextMaxToken: 4000,
-      systemMaxToken: 2400,
+      quoteMaxToken: 2400,
       maxTemperature: 1.2,
       price: 1.5
     },
@@ -76,7 +76,7 @@ export function setDefaultData() {
       model: 'gpt-3.5-turbo-16k',
       name: 'FastAI-16k',
       contextMaxToken: 16000,
-      systemMaxToken: 8000,
+      quoteMaxToken: 8000,
       maxTemperature: 1.2,
       price: 3
     },
@@ -84,7 +84,7 @@ export function setDefaultData() {
       model: 'gpt-4',
       name: 'FastAI-Plus',
       contextMaxToken: 8000,
-      systemMaxToken: 4000,
+      quoteMaxToken: 4000,
       maxTemperature: 1.2,
       price: 45
     }

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

@@ -454,7 +454,7 @@ const ChatTest = ({ appId }: { appId: string }) => {
       const history = messages.slice(-historyMaxLen - 2, -2);
 
       // 流请求，获取数据
-      const { responseText } = await streamFetch({
+      const { responseText, responseData } = await streamFetch({
         url: '/api/chat/chatTest',
         data: {
           history,
@@ -468,7 +468,7 @@ const ChatTest = ({ appId }: { appId: string }) => {
         abortSignal: controller
       });
 
-      return { responseText };
+      return { responseText, responseData };
     },
     [modules, appId, appDetail.name]
   );

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

@@ -49,7 +49,7 @@ const ChatTest = (
       const history = messages.slice(-historyMaxLen - 2, -2);
 
       // 流请求，获取数据
-      const { responseText } = await streamFetch({
+      const { responseText, responseData } = await streamFetch({
         url: '/api/chat/chatTest',
         data: {
           history,
@@ -63,7 +63,7 @@ const ChatTest = (
         abortSignal: controller
       });
 
-      return { responseText };
+      return { responseText, responseData };
     },
     [app._id, app.name, modules]
   );

client/src/pages/chat/index.tsx

@@ -60,7 +60,7 @@ const Chat = ({ appId, chatId }: { appId: string; chatId: string }) => {
       const prompts = messages.slice(-2);
       const completionChatId = chatId ? chatId : nanoid();
 
-      const { responseText } = await streamFetch({
+      const { responseText, responseData } = await streamFetch({
         data: {
           messages: prompts,
           variables,
@@ -106,7 +106,7 @@ const Chat = ({ appId, chatId }: { appId: string; chatId: string }) => {
         history: ChatBoxRef.current?.getChatHistory() || state.history
       }));
 
-      return { responseText };
+      return { responseText, responseData };
     },
     [appId, chatId, history, router, setChatData, updateHistory]
   );

client/src/pages/chat/share.tsx

@@ -46,7 +46,7 @@ const ShareChat = ({ shareId, chatId }: { shareId: string; chatId: string }) =>
       const prompts = messages.slice(-2);
       const completionChatId = chatId ? chatId : nanoid();
 
-      const { responseText } = await streamFetch({
+      const { responseText, responseData } = await streamFetch({
         data: {
           messages: prompts,
           variables,
@@ -91,7 +91,7 @@ const ShareChat = ({ shareId, chatId }: { shareId: string; chatId: string }) =>
         '*'
       );
 
-      return { responseText };
+      return { responseText, responseData };
     },
     [chatId, router, saveChatResponse, shareId]
   );

client/src/service/models/chat.ts

@@ -68,7 +68,8 @@ const ChatSchema = new Schema({
               answer: String,
               temperature: Number,
               maxToken: Number,
-              finishMessages: Array,
+              quoteList: Array,
+              completeMessages: Array,
               similarity: Number,
               limit: Number,
               cqList: Array,

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

@@ -1,7 +1,7 @@
 import { adaptChatItem_openAI } from '@/utils/plugin/openai';
 import { ChatContextFilter } from '@/service/utils/chat/index';
 import type { ChatHistoryItemResType, ChatItemType } from '@/types/chat';
-import { ChatRoleEnum, TaskResponseKeyEnum } from '@/constants/chat';
+import { ChatModuleEnum, ChatRoleEnum, TaskResponseKeyEnum } from '@/constants/chat';
 import { getOpenAIApi, axiosConfig } from '@/service/ai/openai';
 import type { ClassifyQuestionAgentItemType } from '@/types/app';
 import { countModelPrice } from '@/service/events/pushBill';
@@ -17,7 +17,6 @@ export type CQResponse = {
   [key: string]: any;
 };
 
-const moduleName = 'Classify Question';
 const agentModel = 'gpt-3.5-turbo';
 const agentFunName = 'agent_user_question';
 const maxTokens = 2000;
@@ -88,7 +87,7 @@ export const dispatchClassifyQuestion = async (props: Record<string, any>): Prom
   return {
     [result.key]: 1,
     [TaskResponseKeyEnum.responseData]: {
-      moduleName,
+      moduleName: ChatModuleEnum.CQ,
       price: countModelPrice({ model: agentModel, tokens }),
       model: agentModel,
       tokens,

client/src/service/moduleDispatch/chat/oneapi.ts

@@ -6,12 +6,13 @@ import { modelToolMap } from '@/utils/plugin';
 import { ChatContextFilter } from '@/service/utils/chat/index';
 import type { ChatItemType, QuoteItemType } from '@/types/chat';
 import type { ChatHistoryItemResType } from '@/types/chat';
-import { ChatRoleEnum, sseResponseEventEnum } from '@/constants/chat';
+import { ChatModuleEnum, ChatRoleEnum, sseResponseEventEnum } from '@/constants/chat';
 import { parseStreamChunk, textAdaptGptResponse } from '@/utils/adapt';
 import { getOpenAIApi, axiosConfig } from '@/service/ai/openai';
 import { TaskResponseKeyEnum } from '@/constants/chat';
 import { getChatModel } from '@/service/utils/data';
 import { countModelPrice } from '@/service/events/pushBill';
+import { ChatModelItemType } from '@/types/model';
 
 export type ChatProps = {
   res: NextApiResponse;
@@ -30,8 +31,6 @@ export type ChatResponse = {
   [TaskResponseKeyEnum.responseData]: ChatHistoryItemResType;
 };
 
-const moduleName = 'AI Chat';
-
 /* request openai chat */
 export const dispatchChatCompletion = async (props: Record<string, any>): Promise<ChatResponse> => {
   let {
@@ -54,24 +53,153 @@ 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 } = filterQuote({
+    quoteQA,
+    model: modelConstantsData
+  });
+
+  const { messages, filterMessages } = getChatMessages({
+    model: modelConstantsData,
+    history,
+    quotePrompt,
+    userChatInput,
+    systemPrompt,
+    limitPrompt
+  });
+  const { max_tokens } = getMaxTokens({
+    model: modelConstantsData,
+    maxToken,
+    filterMessages
+  });
+  // console.log(messages);
+
   // FastGpt temperature range: 1~10
   temperature = +(modelConstantsData.maxTemperature * (temperature / 10)).toFixed(2);
+  const chatAPI = getOpenAIApi();
 
+  const response = await chatAPI.createChatCompletion(
+    {
+      model,
+      temperature: Number(temperature || 0),
+      max_tokens,
+      messages,
+      // frequency_penalty: 0.5, // 越大，重复内容越少
+      // presence_penalty: -0.5, // 越大，越容易出现新内容
+      stream
+    },
+    {
+      timeout: stream ? 60000 : 480000,
+      responseType: stream ? 'stream' : 'json',
+      ...axiosConfig()
+    }
+  );
+
+  const { answerText, totalTokens, completeMessages } = await (async () => {
+    if (stream) {
+      // sse response
+      const { answer } = await streamResponse({ res, response });
+      // count tokens
+      const completeMessages = filterMessages.concat({
+        obj: ChatRoleEnum.AI,
+        value: answer
+      });
+
+      const totalTokens = countOpenAIToken({
+        messages: completeMessages
+      });
+
+      return {
+        answerText: answer,
+        totalTokens,
+        completeMessages
+      };
+    } else {
+      const answer = stream ? '' : response.data.choices?.[0].message?.content || '';
+      const totalTokens = stream ? 0 : response.data.usage?.total_tokens || 0;
+
+      const completeMessages = filterMessages.concat({
+        obj: ChatRoleEnum.AI,
+        value: answer
+      });
+
+      return {
+        answerText: answer,
+        totalTokens,
+        completeMessages
+      };
+    }
+  })();
+
+  return {
+    [TaskResponseKeyEnum.answerText]: answerText,
+    [TaskResponseKeyEnum.responseData]: {
+      moduleName: ChatModuleEnum.AIChat,
+      price: countModelPrice({ model, tokens: totalTokens }),
+      model: modelConstantsData.name,
+      tokens: totalTokens,
+      question: userChatInput,
+      answer: answerText,
+      maxToken,
+      quoteList: filterQuoteQA,
+      completeMessages
+    }
+  };
+};
+
+function filterQuote({
+  quoteQA = [],
+  model
+}: {
+  quoteQA: ChatProps['quoteQA'];
+  model: ChatModelItemType;
+}) {
+  const sliceResult = modelToolMap.tokenSlice({
+    model: model.model,
+    maxToken: model.quoteMaxToken,
+    messages: quoteQA.map((item, i) => ({
+      obj: ChatRoleEnum.System,
+      value: `${i + 1}. [${item.q}\n${item.a}]`
+    }))
+  });
+
+  // slice filterSearch
+  const filterQuoteQA = quoteQA.slice(0, sliceResult.length);
+
+  const quotePrompt =
+    filterQuoteQA.length > 0
+      ? `下面是知识库内容:
+${filterQuoteQA.map((item, i) => `${i + 1}. [${item.q}\n${item.a}]`).join('\n')}
+`
+      : '';
+
+  return {
+    filterQuoteQA,
+    quotePrompt
+  };
+}
+function getChatMessages({
+  quotePrompt,
+  history = [],
+  systemPrompt,
+  limitPrompt,
+  userChatInput,
+  model
+}: {
+  quotePrompt: string;
+  history: ChatProps['history'];
+  systemPrompt: string;
+  limitPrompt: string;
+  userChatInput: string;
+  model: ChatModelItemType;
+}) {
   const limitText = (() => {
     if (limitPrompt) return limitPrompt;
-    if (quoteQA.length > 0 && !limitPrompt) {
+    if (quotePrompt && !limitPrompt) {
       return '根据知识库内容回答问题，仅回复知识库提供的内容，不要对知识库内容做补充说明。';
     }
     return '';
   })();
 
-  const quotePrompt =
-    quoteQA.length > 0
-      ? `下面是知识库内容:
-${quoteQA.map((item, i) => `${i + 1}. [${item.q}\n${item.a}]`).join('\n')}
-`
-      : '';
-
   const messages: ChatItemType[] = [
     ...(quotePrompt
       ? [
@@ -103,92 +231,41 @@ ${quoteQA.map((item, i) => `${i + 1}. [${item.q}\n${item.a}]`).join('\n')}
       value: userChatInput
     }
   ];
-  const modelTokenLimit = getChatModel(model)?.contextMaxToken || 4000;
 
   const filterMessages = ChatContextFilter({
-    model,
+    model: model.model,
     prompts: messages,
-    maxTokens: Math.ceil(modelTokenLimit - 300) // filter token. not response maxToken
+    maxTokens: Math.ceil(model.contextMaxToken - 300) // filter token. not response maxToken
   });
 
   const adaptMessages = adaptChatItem_openAI({ messages: filterMessages, reserveId: false });
-  const chatAPI = getOpenAIApi();
-  console.log(adaptMessages);
-
-  /* count response max token */
-  const promptsToken = modelToolMap.countTokens({
-    model,
-    messages: filterMessages
-  });
-  maxToken = maxToken + promptsToken > modelTokenLimit ? modelTokenLimit - promptsToken : maxToken;
-
-  const response = await chatAPI.createChatCompletion(
-    {
-      model,
-      temperature: Number(temperature || 0),
-      max_tokens: maxToken,
-      messages: adaptMessages,
-      // frequency_penalty: 0.5, // 越大，重复内容越少
-      // presence_penalty: -0.5, // 越大，越容易出现新内容
-      stream
-    },
-    {
-      timeout: stream ? 60000 : 480000,
-      responseType: stream ? 'stream' : 'json',
-      ...axiosConfig()
-    }
-  );
-
-  const { answerText, totalTokens, finishMessages } = await (async () => {
-    if (stream) {
-      // sse response
-      const { answer } = await streamResponse({ res, response });
-      // count tokens
-      const finishMessages = filterMessages.concat({
-        obj: ChatRoleEnum.AI,
-        value: answer
-      });
-
-      const totalTokens = countOpenAIToken({
-        messages: finishMessages
-      });
-
-      return {
-        answerText: answer,
-        totalTokens,
-        finishMessages
-      };
-    } else {
-      const answer = stream ? '' : response.data.choices?.[0].message?.content || '';
-      const totalTokens = stream ? 0 : response.data.usage?.total_tokens || 0;
-
-      const finishMessages = filterMessages.concat({
-        obj: ChatRoleEnum.AI,
-        value: answer
-      });
-
-      return {
-        answerText: answer,
-        totalTokens,
-        finishMessages
-      };
-    }
-  })();
 
   return {
-    [TaskResponseKeyEnum.answerText]: answerText,
+    messages: adaptMessages,
-    [TaskResponseKeyEnum.responseData]: {
+    filterMessages
-      moduleName,
-      price: countModelPrice({ model, tokens: totalTokens }),
-      model: modelConstantsData.name,
-      tokens: totalTokens,
-      question: userChatInput,
-      answer: answerText,
-      maxToken,
-      finishMessages
-    }
   };
-};
+}
+function getMaxTokens({
+  maxToken,
+  model,
+  filterMessages = []
+}: {
+  maxToken: number;
+  model: ChatModelItemType;
+  filterMessages: ChatProps['history'];
+}) {
+  const tokensLimit = model.contextMaxToken;
+  /* count response max token */
+  const promptsToken = modelToolMap.countTokens({
+    model: model.model,
+    messages: filterMessages
+  });
+  maxToken = maxToken + promptsToken > tokensLimit ? tokensLimit - promptsToken : maxToken;
+
+  return {
+    max_tokens: maxToken
+  };
+}
 
 async function streamResponse({ res, response }: { res: NextApiResponse; response: any }) {
   let answer = '';

client/src/service/moduleDispatch/kb/search.ts

@@ -1,6 +1,6 @@
 import { PgClient } from '@/service/pg';
 import type { ChatHistoryItemResType, ChatItemType } from '@/types/chat';
-import { TaskResponseKeyEnum } from '@/constants/chat';
+import { ChatModuleEnum, TaskResponseKeyEnum } from '@/constants/chat';
 import { getVector } from '@/pages/api/openapi/plugin/vector';
 import { countModelPrice } from '@/service/events/pushBill';
 import type { SelectedKbType } from '@/types/plugin';
@@ -20,8 +20,6 @@ export type KBSearchResponse = {
   quoteQA: QuoteItemType[];
 };
 
-const moduleName = 'KB Search';
-
 export async function dispatchKBSearch(props: Record<string, any>): Promise<KBSearchResponse> {
   const {
     kbList = [],
@@ -65,7 +63,7 @@ export async function dispatchKBSearch(props: Record<string, any>): Promise<KBSe
     unEmpty: searchRes.length > 0 ? true : undefined,
     quoteQA: searchRes,
     responseData: {
-      moduleName,
+      moduleName: ChatModuleEnum.KBSearch,
       price: countModelPrice({ model: vectorModel.model, tokens: tokenLen }),
       model: vectorModel.name,
       tokens: tokenLen,

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

@@ -1,7 +1,6 @@
 import { ChatItemType } from '@/types/chat';
 import { modelToolMap } from '@/utils/plugin';
-import { ChatRoleEnum, sseResponseEventEnum } from '@/constants/chat';
+import { ChatRoleEnum } from '@/constants/chat';
-import { sseResponse } from '../tools';
 import { OpenAiChatEnum } from '@/constants/model';
 import type { NextApiResponse } from 'next';
 
@@ -18,18 +17,6 @@ export type StreamResponseType = {
   model: `${OpenAiChatEnum}`;
   [key: string]: any;
 };
-export type StreamResponseReturnType = {
-  responseContent: string;
-  totalTokens: number;
-  finishMessages: ChatItemType[];
-};
-
-/* delete invalid symbol */
-const simplifyStr = (str = '') =>
-  str
-    .replace(/\n+/g, '\n') // 连续空行
-    .replace(/[^\S\r\n]+/g, ' ') // 连续空白内容
-    .trim();
 
 /* slice chat context by tokens */
 export const ChatContextFilter = ({

client/src/types/chat.d.ts

@@ -56,7 +56,8 @@ export type ChatHistoryItemResType = {
   question?: string;
   temperature?: number;
   maxToken?: number;
-  finishMessages?: ChatItemType[];
+  quoteList?: QuoteItemType[];
+  completeMessages?: ChatItemType[];
 
   // kb search
   similarity?: number;

client/src/types/model.d.ts

@@ -2,7 +2,7 @@ export type ChatModelItemType = {
   model: string;
   name: string;
   contextMaxToken: number;
-  systemMaxToken: number;
+  quoteMaxToken: number;
   maxTemperature: number;
   price: number;
 };