perf: Add tool call prompt (#4683)

* update i18n

* perf: Add tool call prompt

packages/global/core/ai/prompt/dataset.ts

@@ -0,0 +1,14 @@
+export const getDatasetSearchToolResponsePrompt = () => {
+  return `## Role
+你是一个知识库回答助手，可以 "quotes" 中的内容作为本次对话的参考。为了使回答结果更加可信并且可追溯，你需要在每段话结尾添加引用标记。
+
+## Rules
+- 如果你不清楚答案，你需要澄清。
+- 避免提及你是从 "quotes" 获取的知识。
+- 保持答案与 "quotes" 中描述的一致。
+- 使用 Markdown 语法优化回答格式。尤其是图片、表格、序列号等内容，需严格完整输出。
+- 使用与问题相同的语言回答。
+- 使用 [id](QUOTE) 格式来引用 "quotes" 中的知识，其中 QUOTE 是固定常量, id 为引文中的 id。
+- 在每段话结尾自然地整合引用。例如: "FastGPT 是一个基于大语言模型(LLM)的知识库问答系统[67e517e74767063e882d6861](QUOTE)。"
+- 每段话至少包含一个引用，也可根据内容需要加入多个引用，按顺序排列。`;
+};

packages/service/core/workflow/dispatch/dataset/search.ts

@@ -17,6 +17,7 @@ import { i18nT } from '../../../../../web/i18n/utils';
 import { filterDatasetsByTmbId } from '../../../dataset/utils';
 import { ModelTypeEnum } from '@fastgpt/global/core/ai/model';
 import { addEndpointToImageUrl } from '../../../../common/file/image/utils';
+import { getDatasetSearchToolResponsePrompt } from '../../../../../global/core/ai/prompt/dataset';
 
 type DatasetSearchProps = ModuleDispatchProps<{
   [NodeInputKeyEnum.datasetSelectList]: SelectedDatasetType;
@@ -264,10 +265,14 @@ export async function dispatchDatasetSearch(
     quoteQA: searchRes,
     [DispatchNodeResponseKeyEnum.nodeResponse]: responseData,
     nodeDispatchUsages,
-    [DispatchNodeResponseKeyEnum.toolResponses]: searchRes.map((item) => ({
+    [DispatchNodeResponseKeyEnum.toolResponses]: {
-      sourceName: item.sourceName,
+      prompt: getDatasetSearchToolResponsePrompt(),
-      updateTime: item.updateTime,
+      quotes: searchRes.map((item) => ({
-      content: addEndpointToImageUrl(`${item.q}\n${item.a}`.trim())
+        id: item.id,
-    }))
+        sourceName: item.sourceName,
+        updateTime: item.updateTime,
+        content: addEndpointToImageUrl(`${item.q}\n${item.a}`.trim())
+      }))
+    }
   };
 }

packages/web/i18n/en/common.json

@@ -979,6 +979,7 @@
   "new_create": "Create New",
   "no": "No",
   "no_laf_env": "System Not Configured with Laf Environment",
+  "no_pay_way": "There is no suitable payment channel in the system",
   "not_model_config": "No related model configured",
   "not_permission": "The current subscription package does not support team operation logs",
   "not_yet_introduced": "No Introduction Yet",
@@ -1043,6 +1044,7 @@
   "plugin.contribute": "Contribute Plugin",
   "plugin.go to laf": "Go to Write",
   "plugin.path": "Path",
+  "price_over_wx_limit": "Exceed payment provider limit: WeChat Pay only supports less than 6,000 yuan",
   "prompt_input_placeholder": "Please enter the prompt word",
   "question_feedback": "Work order",
   "read_quote": "View citations",

packages/web/i18n/zh-CN/common.json

@@ -978,6 +978,7 @@
   "new_create": "新建",
   "no": "否",
   "no_laf_env": "系统未配置Laf环境",
+  "no_pay_way": "系统无合适的支付渠道",
   "not_model_config": "未配置相关模型",
   "not_permission": "当前订阅套餐不支持团队操作日志",
   "not_yet_introduced": "暂无介绍",
@@ -1042,6 +1043,7 @@
   "plugin.contribute": "贡献插件",
   "plugin.go to laf": "去编写",
   "plugin.path": "路径",
+  "price_over_wx_limit": "超出支付提供商限额：微信支付仅支持 6000 元以下",
   "prompt_input_placeholder": "请输入提示词",
   "question_feedback": "工单咨询",
   "read_quote": "查看引用",

packages/web/i18n/zh-Hant/common.json

@@ -978,6 +978,7 @@
   "new_create": "建立新項目",
   "no": "否",
   "no_laf_env": "系統未設定 LAF 環境",
+  "no_pay_way": "系統無合適的支付渠道",
   "not_model_config": "未設定相關模型",
   "not_permission": "當前訂閱套餐不支持團隊操作日誌",
   "not_yet_introduced": "暫無介紹",
@@ -1042,6 +1043,7 @@
   "plugin.contribute": "貢獻外掛程式",
   "plugin.go to laf": "前往編寫",
   "plugin.path": "路徑",
+  "price_over_wx_limit": "超出支付提供商限額：微信支付僅支持 6000 元以下",
   "prompt_input_placeholder": "請輸入提示詞",
   "question_feedback": "工單諮詢",
   "read_quote": "檢視引用",

projects/app/src/components/Markdown/A.tsx

@@ -25,14 +25,6 @@ import { getSourceNameIcon } from '@fastgpt/global/core/dataset/utils';
 const A = ({ children, ...props }: any) => {
   const { t } = useTranslation();
 
-  const {
-    data: quoteData,
-    loading,
-    runAsync
-  } = useRequest2(getQuoteData, {
-    manual: true
-  });
-
   const { isOpen, onOpen, onClose } = useDisclosure();
 
   // empty href link
@@ -56,6 +48,13 @@ const A = ({ children, ...props }: any) => {
 
   // Quote
   if (props.href?.startsWith('QUOTE') && typeof children?.[0] === 'string') {
+    const {
+      data: quoteData,
+      loading,
+      runAsync: getQuoteDataById
+    } = useRequest2(getQuoteData, {
+      manual: true
+    });
     const sourceData = useMemo(
       () => getCollectionSourceData(quoteData?.collection),
       [quoteData?.collection]
@@ -75,7 +74,7 @@ const A = ({ children, ...props }: any) => {
         onClose={onClose}
         onOpen={() => {
           onOpen();
-          runAsync(String(children));
+          getQuoteDataById(String(children));
         }}
         trigger={'hover'}
         gutter={4}