4.7 doc update (#1068)

* fix: plugin update

* feat: get current time plugin

* fix: ts

* perf: select app ux

* fix: ts

* perf: max w

* move code

* perf: inform tip

* fix: inform

* doc

* fix: tool handle

* perf: tmp file store

* doc

* fix: message file selector

* feat: doc

* perf: switch trigger

* doc

* fix: openapi import

* rount the number

* parse openapi schema

* fix empty line after variables (#64)

* doc image

* image size

* doc

* doc

* catch error

---------

Co-authored-by: heheer <71265218+newfish-cmyk@users.noreply.github.com>

packages/service/common/file/multer.ts

@@ -3,6 +3,7 @@ import multer from 'multer';
 import path from 'path';
 import { BucketNameEnum, bucketNameMap } from '@fastgpt/global/common/file/constants';
 import { getNanoid } from '@fastgpt/global/common/string/tools';
+import { tmpFileDirPath } from './constants';
 
 type FileType = {
   fieldname: string;
@@ -23,9 +24,9 @@ export const getUploadModel = ({ maxSize = 500 }: { maxSize?: number }) => {
       },
       preservePath: true,
       storage: multer.diskStorage({
-        // destination: (_req, _file, cb) => {
-        //   cb(null, tmpFileDirPath);
-        // },
+        destination: (_req, _file, cb) => {
+          cb(null, tmpFileDirPath);
+        },
         filename: async (req, file, cb) => {
           const { ext } = path.parse(decodeURIComponent(file.originalname));
           cb(null, `${getNanoid()}${ext}`);

packages/service/common/file/utils.ts

@@ -27,3 +27,18 @@ export const guessBase64ImageType = (str: string) => {
   const firstChar = str.charAt(0);
   return imageTypeMap[firstChar] || defaultType;
 };
+
+export const clearDirFiles = (dirPath: string) => {
+  if (!fs.existsSync(dirPath)) {
+    return;
+  }
+
+  fs.readdirSync(dirPath).forEach((file) => {
+    const curPath = `${dirPath}/${file}`;
+    if (fs.lstatSync(curPath).isDirectory()) {
+      clearDirFiles(curPath);
+    } else {
+      fs.unlinkSync(curPath);
+    }
+  });
+};

packages/service/core/ai/functions/queryExtension.ts

@@ -19,20 +19,28 @@ const defaultPrompt = `作为一个向量检索助手，你的任务是结合历
 历史记录: 
 """
 Q: 对话背景。
-A: 当前对话是关于 FatGPT 的介绍和使用等。
+A: 当前对话是关于 Nginx 的介绍和使用等。
 """
 原问题: 怎么下载
-检索词: ["FastGPT 如何下载？","下载 FastGPT 需要什么条件？","有哪些渠道可以下载 FastGPT？"]
+检索词: ["Nginx 如何下载？","下载 Nginx 需要什么条件？","有哪些渠道可以下载 Nginx？"]
 ----------------
 历史记录: 
 """
 Q: 对话背景。
-A: 当前对话是关于 FatGPT 的介绍和使用等。
+A: 当前对话是关于 Nginx 的介绍和使用等。
 Q: 报错 "no connection"
 A: 报错"no connection"可能是因为……
 """
 原问题: 怎么解决
-检索词: ["FastGPT 报错"no connection"如何解决？", "造成 'no connection' 报错的原因。", "FastGPT提示'no connection'，要怎么办？"]
+检索词: ["Nginx报错"no connection"如何解决？","造成'no connection'报错的原因。","Nginx提示'no connection'，要怎么办？"]
+----------------
+历史记录: 
+"""
+Q: 护产假多少天?
+A: 护产假的天数根据员工所在的城市而定。请提供您所在的城市，以便我回答您的问题。
+"""
+原问题: 沈阳
+检索词: ["沈阳的护产假多少天？"]
 ----------------
 历史记录: 
 """
@@ -42,14 +50,6 @@ A: FastGPT 的作者是 labring。
 原问题: Tell me about him
 检索词: ["Introduce labring, the author of FastGPT." ," Background information on author labring." "," Why does labring do FastGPT?"]
 ----------------
-历史记录: 
-"""
-Q: 对话背景。
-A: 当前对话是关于 FatGPT 的介绍和使用等。
-"""
-原问题: 高级编排怎么用
-检索词: ["FastGPT的高级编排是什么？","FastGPT高级编排的使用教程。","FastGPT高级编排有什么用？"]
-----------------
 历史记录:
 """
 Q: 对话背景。

packages/service/core/workflow/dispatch/agent/runTool/constants.ts

@@ -13,13 +13,13 @@ export const Prompt_Tool_Call = `<Instruction>
 USER: 你好呀
 ANSWER: 0: 你好，有什么可以帮助你的么？
 USER: 今天杭州的天气如何
-ANSWER: 1: {"toolId":"w2121",arguments:{"city": "杭州"}}
+ANSWER: 1: {"toolId":"testToolId",arguments:{"city": "杭州"}}
 TOOL_RESPONSE: """
 晴天......
 """
 ANSWER: 0: 今天杭州是晴天。
 USER: 今天杭州的天气适合去哪里玩？
-ANSWER: 1: {"toolId":"as21da",arguments:{"query": "杭州 天气 去哪里玩"}}
+ANSWER: 1: {"toolId":"testToolId2",arguments:{"query": "杭州 天气 去哪里玩"}}
 TOOL_RESPONSE: """
 晴天. 西湖、灵隐寺、千岛湖……
 """

packages/service/core/workflow/dispatch/agent/runTool/promptCall.ts

@@ -131,7 +131,7 @@ export const runToolWithPromptCall = async (
   })();
 
   const parseAnswerResult = parseAnswer(answer);
-  // console.log(answer, '==11==');
+  // console.log(parseAnswer, '==11==');
   // No tools
   if (typeof parseAnswerResult === 'string') {
     // No tool is invoked, indicating that the process is over
@@ -270,7 +270,9 @@ export const runToolWithPromptCall = async (
 
   // get the next user prompt
   lastMessage.content += `${answer}
-TOOL_RESPONSE: ${toolsRunResponse.toolResponsePrompt}
+TOOL_RESPONSE: """
+${toolsRunResponse.toolResponsePrompt}
+"""
 ANSWER: `;
 
   /* check stop signal */

packages/service/core/workflow/dispatch/chat/oneapi.ts

@@ -73,7 +73,7 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
       temperature = 0,
       maxToken = 4000,
       history = 6,
-      quoteQA = [],
+      quoteQA,
       userChatInput,
       isResponseAnswerText = true,
       systemPrompt = '',
@@ -114,6 +114,7 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
   const { filterMessages } = getChatMessages({
     model: modelConstantsData,
     histories: chatHistories,
+    quoteQA,
     quoteText,
     quotePrompt,
     userChatInput,
@@ -269,13 +270,13 @@ function filterQuote({
       : '';
 
   return {
-    filterQuoteQA: filterQuoteQA,
     quoteText
   };
 }
 function getChatMessages({
   quotePrompt,
   quoteText,
+  quoteQA,
   histories = [],
   systemPrompt,
   userChatInput,
@@ -284,18 +285,20 @@ function getChatMessages({
 }: {
   quotePrompt?: string;
   quoteText: string;
+  quoteQA: ChatProps['params']['quoteQA'];
   histories: ChatItemType[];
   systemPrompt: string;
   userChatInput: string;
   inputFiles: UserChatItemValueItemType['file'][];
   model: LLMModelItemType;
 }) {
-  const replaceInputValue = quoteText
-    ? replaceVariable(quotePrompt || Prompt_QuotePromptList[0].value, {
-        quote: quoteText,
-        question: userChatInput
-      })
-    : userChatInput;
+  const replaceInputValue =
+    quoteQA !== undefined
+      ? replaceVariable(quotePrompt || Prompt_QuotePromptList[0].value, {
+          quote: quoteText,
+          question: userChatInput
+        })
+      : userChatInput;
 
   const messages: ChatItemType[] = [
     ...getSystemPrompt(systemPrompt),