Merge 8e133366b2 into 72450b9217

docs: add ClawCloud Run button

README.md

@@ -159,6 +159,7 @@ Perplexica runs on Next.js and handles all API requests. It works right away on
 
 [![Deploy to Sealos](https://raw.githubusercontent.com/labring-actions/templates/main/Deploy-on-Sealos.svg)](https://usw.sealos.io/?openapp=system-template%3FtemplateName%3Dperplexica)
 [![Deploy to RepoCloud](https://d16t0pc4846x52.cloudfront.net/deploylobe.svg)](https://repocloud.io/details/?app_id=267)
+[![Run on ClawCloud](https://raw.githubusercontent.com/ClawCloud/Run-Template/refs/heads/main/Run-on-ClawCloud.svg)](https://template.run.claw.cloud/?referralCode=U11MRQ8U9RM4&openapp=system-fastdeploy%3FtemplateName%3Dperplexica)
 
 ## Upcoming Features
 

src/app/library/page.tsx

@@ -1,10 +1,12 @@
 'use client';
 
 import DeleteChat from '@/components/DeleteChat';
+import BatchDeleteChats from '@/components/BatchDeleteChats';
 import { cn, formatTimeDifference } from '@/lib/utils';
-import { BookOpenText, ClockIcon, Delete, ScanEye } from 'lucide-react';
+import { BookOpenText, Check, ClockIcon, Delete, ScanEye, Search, X } from 'lucide-react';
 import Link from 'next/link';
 import { useEffect, useState } from 'react';
+import { toast } from 'sonner';
 
 export interface Chat {
   id: string;
@@ -15,7 +17,13 @@ export interface Chat {
 
 const Page = () => {
   const [chats, setChats] = useState<Chat[]>([]);
+  const [filteredChats, setFilteredChats] = useState<Chat[]>([]);
   const [loading, setLoading] = useState(true);
+  const [searchQuery, setSearchQuery] = useState('');
+  const [selectionMode, setSelectionMode] = useState(false);
+  const [selectedChats, setSelectedChats] = useState<string[]>([]);
+  const [hoveredChatId, setHoveredChatId] = useState<string | null>(null);
+  const [isDeleteDialogOpen, setIsDeleteDialogOpen] = useState(false);
 
   useEffect(() => {
     const fetchChats = async () => {
@@ -31,12 +39,71 @@ const Page = () => {
       const data = await res.json();
 
       setChats(data.chats);
+      setFilteredChats(data.chats);
       setLoading(false);
     };
 
     fetchChats();
   }, []);
 
+  useEffect(() => {
+    if (searchQuery.trim() === '') {
+      setFilteredChats(chats);
+    } else {
+      const filtered = chats.filter((chat) =>
+        chat.title.toLowerCase().includes(searchQuery.toLowerCase())
+      );
+      setFilteredChats(filtered);
+    }
+  }, [searchQuery, chats]);
+
+  const handleSearchChange = (e: React.ChangeEvent<HTMLInputElement>) => {
+    setSearchQuery(e.target.value);
+  };
+
+  const clearSearch = () => {
+    setSearchQuery('');
+  };
+
+  const toggleSelectionMode = () => {
+    setSelectionMode(!selectionMode);
+    setSelectedChats([]);
+  };
+
+  const toggleChatSelection = (chatId: string) => {
+    if (selectedChats.includes(chatId)) {
+      setSelectedChats(selectedChats.filter(id => id !== chatId));
+    } else {
+      setSelectedChats([...selectedChats, chatId]);
+    }
+  };
+
+  const selectAllChats = () => {
+    if (selectedChats.length === filteredChats.length) {
+      setSelectedChats([]);
+    } else {
+      setSelectedChats(filteredChats.map(chat => chat.id));
+    }
+  };
+
+  const deleteSelectedChats = () => {
+    if (selectedChats.length === 0) return;
+    setIsDeleteDialogOpen(true);
+  };
+
+  const handleBatchDeleteComplete = () => {
+    setSelectedChats([]);
+    setSelectionMode(false);
+  };
+
+  const updateChatsAfterDelete = (newChats: Chat[]) => {
+    setChats(newChats);
+    setFilteredChats(newChats.filter(chat => 
+      searchQuery.trim() === '' || 
+      chat.title.toLowerCase().includes(searchQuery.toLowerCase())
+    ));
+  };
+
   return loading ? (
     <div className="flex flex-row items-center justify-center min-h-screen">
       <svg
@@ -64,32 +131,145 @@ const Page = () => {
           <h1 className="text-3xl font-medium p-2">Library</h1>
         </div>
         <hr className="border-t border-[#2B2C2C] my-4 w-full" />
+        
+        {/* Search Box */}
+        <div className="relative mt-6 mb-6">
+          <div className="absolute inset-y-0 left-0 flex items-center pl-3 pointer-events-none">
+            <Search className="w-5 h-5 text-black/50 dark:text-white/50" />
           </div>
-      {chats.length === 0 && (
-        <div className="flex flex-row items-center justify-center min-h-screen">
+          <input
+            type="text"
+            className="block w-full p-2 pl-10 pr-10 bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200 rounded-md text-black dark:text-white focus:outline-none focus:ring-1 focus:ring-blue-500"
+            placeholder="Search your threads..."
+            value={searchQuery}
+            onChange={handleSearchChange}
+          />
+          {searchQuery && (
+            <button
+              onClick={clearSearch}
+              className="absolute inset-y-0 right-0 flex items-center pr-3"
+            >
+              <X className="w-5 h-5 text-black/50 dark:text-white/50 hover:text-black dark:hover:text-white" />
+            </button>
+          )}
+        </div>
+        
+        {/* Thread Count and Selection Controls */}
+        <div className="mb-4">
+          {!selectionMode ? (
+            <div className="flex items-center justify-between">
+              <div className="text-black/70 dark:text-white/70">
+                You have {chats.length} threads in Perplexica
+              </div>
+              <button
+                onClick={toggleSelectionMode}
+                className="text-black/70 dark:text-white/70 hover:text-black dark:hover:text-white text-sm transition duration-200"
+              >
+                Select
+              </button>
+            </div>
+          ) : (
+            <div className="flex items-center justify-between">
+              <div className="text-black/70 dark:text-white/70">
+                {selectedChats.length} selected thread{selectedChats.length !== 1 ? 's' : ''}
+              </div>
+              <div className="flex space-x-4">
+                <button
+                  onClick={selectAllChats}
+                  className="text-black/70 dark:text-white/70 hover:text-black dark:hover:text-white text-sm transition duration-200"
+                >
+                  {selectedChats.length === filteredChats.length ? 'Deselect all' : 'Select all'}
+                </button>
+                
+                <button
+                  onClick={toggleSelectionMode}
+                  className="text-black/70 dark:text-white/70 hover:text-black dark:hover:text-white text-sm transition duration-200"
+                >
+                  Cancel
+                </button>
+                
+                <button
+                  onClick={deleteSelectedChats}
+                  disabled={selectedChats.length === 0}
+                  className={cn(
+                    "text-sm transition duration-200",
+                    selectedChats.length === 0 
+                      ? "text-red-400/50 hover:text-red-500/50 cursor-not-allowed" 
+                      : "text-red-400 hover:text-red-500 cursor-pointer"
+                  )}
+                >
+                  Delete Selected
+                </button>
+              </div>
+            </div>
+          )}
+        </div>
+      </div>
+      
+      {filteredChats.length === 0 && (
+        <div className="flex flex-row items-center justify-center min-h-[50vh]">
           <p className="text-black/70 dark:text-white/70 text-sm">
-            No chats found.
+            {searchQuery ? 'No threads found matching your search.' : 'No threads found.'}
           </p>
         </div>
       )}
-      {chats.length > 0 && (
+      
+      {filteredChats.length > 0 && (
         <div className="flex flex-col pb-20 lg:pb-2">
-          {chats.map((chat, i) => (
+          {filteredChats.map((chat, i) => (
             <div
               className={cn(
                 'flex flex-col space-y-4 py-6',
-                i !== chats.length - 1
+                i !== filteredChats.length - 1
                   ? 'border-b border-white-200 dark:border-dark-200'
                   : '',
               )}
               key={i}
+              onMouseEnter={() => setHoveredChatId(chat.id)}
+              onMouseLeave={() => setHoveredChatId(null)}
             >
+              <div className="flex items-center">
+                {/* Checkbox - visible when in selection mode or when hovering */}
+                {(selectionMode || hoveredChatId === chat.id) && (
+                  <div 
+                    className="mr-3 cursor-pointer"
+                    onClick={(e) => {
+                      e.preventDefault();
+                      if (!selectionMode) setSelectionMode(true);
+                      toggleChatSelection(chat.id);
+                    }}
+                  >
+                    <div className={cn(
+                      "w-5 h-5 border rounded flex items-center justify-center transition-colors",
+                      selectedChats.includes(chat.id) 
+                        ? "bg-blue-500 border-blue-500" 
+                        : "border-gray-400 dark:border-gray-600"
+                    )}>
+                      {selectedChats.includes(chat.id) && (
+                        <Check className="w-4 h-4 text-white" />
+                      )}
+                    </div>
+                  </div>
+                )}
+                
+                {/* Chat Title */}
                 <Link
                   href={`/c/${chat.id}`}
-                className="text-black dark:text-white lg:text-xl font-medium truncate transition duration-200 hover:text-[#24A0ED] dark:hover:text-[#24A0ED] cursor-pointer"
+                  className={cn(
+                    "text-black dark:text-white lg:text-xl font-medium truncate transition duration-200 hover:text-[#24A0ED] dark:hover:text-[#24A0ED] cursor-pointer",
+                    selectionMode && "pointer-events-none text-black dark:text-white hover:text-black dark:hover:text-white"
+                  )}
+                  onClick={(e) => {
+                    if (selectionMode) {
+                      e.preventDefault();
+                      toggleChatSelection(chat.id);
+                    }
+                  }}
                 >
                   {chat.title}
                 </Link>
+              </div>
+              
               <div className="flex flex-row items-center justify-between w-full">
                 <div className="flex flex-row items-center space-x-1 lg:space-x-1.5 text-black/70 dark:text-white/70">
                   <ClockIcon size={15} />
@@ -97,16 +277,30 @@ const Page = () => {
                     {formatTimeDifference(new Date(), chat.createdAt)} Ago
                   </p>
                 </div>
+                
+                {/* Delete button - only visible when not in selection mode */}
+                {!selectionMode && (
                   <DeleteChat
                     chatId={chat.id}
                     chats={chats}
-                  setChats={setChats}
+                    setChats={updateChatsAfterDelete}
                   />
+                )}
               </div>
             </div>
           ))}
         </div>
       )}
+      
+      {/* Batch Delete Confirmation Dialog */}
+      <BatchDeleteChats
+        chatIds={selectedChats}
+        chats={chats}
+        setChats={updateChatsAfterDelete}
+        onComplete={handleBatchDeleteComplete}
+        isOpen={isDeleteDialogOpen}
+        setIsOpen={setIsDeleteDialogOpen}
+      />
     </div>
   );
 };

src/components/BatchDeleteChats.tsx

@@ -0,0 +1,118 @@
+import {
+  Description,
+  Dialog,
+  DialogBackdrop,
+  DialogPanel,
+  DialogTitle,
+  Transition,
+  TransitionChild,
+} from '@headlessui/react';
+import { Fragment, useState } from 'react';
+import { toast } from 'sonner';
+import { Chat } from '@/app/library/page';
+
+interface BatchDeleteChatsProps {
+  chatIds: string[];
+  chats: Chat[];
+  setChats: (chats: Chat[]) => void;
+  onComplete: () => void;
+  isOpen: boolean;
+  setIsOpen: (isOpen: boolean) => void;
+}
+
+const BatchDeleteChats = ({
+  chatIds,
+  chats,
+  setChats,
+  onComplete,
+  isOpen,
+  setIsOpen,
+}: BatchDeleteChatsProps) => {
+  const [loading, setLoading] = useState(false);
+
+  const handleDelete = async () => {
+    if (chatIds.length === 0) return;
+    
+    setLoading(true);
+    try {
+      for (const chatId of chatIds) {
+        await fetch(`/api/chats/${chatId}`, {
+          method: 'DELETE',
+          headers: {
+            'Content-Type': 'application/json',
+          },
+        });
+      }
+
+      const newChats = chats.filter(chat => !chatIds.includes(chat.id));
+      setChats(newChats);
+      
+      toast.success(`${chatIds.length} thread${chatIds.length > 1 ? 's' : ''} deleted`);
+      onComplete();
+    } catch (err: any) {
+      toast.error('Failed to delete threads');
+    } finally {
+      setIsOpen(false);
+      setLoading(false);
+    }
+  };
+
+  return (
+    <Transition appear show={isOpen} as={Fragment}>
+      <Dialog
+        as="div"
+        className="relative z-50"
+        onClose={() => {
+          if (!loading) {
+            setIsOpen(false);
+          }
+        }}
+      >
+        <DialogBackdrop className="fixed inset-0 bg-black/30" />
+        <div className="fixed inset-0 overflow-y-auto">
+          <div className="flex min-h-full items-center justify-center p-4 text-center">
+            <TransitionChild
+              as={Fragment}
+              enter="ease-out duration-200"
+              enterFrom="opacity-0 scale-95"
+              enterTo="opacity-100 scale-100"
+              leave="ease-in duration-100"
+              leaveFrom="opacity-100 scale-200"
+              leaveTo="opacity-0 scale-95"
+            >
+              <DialogPanel className="w-full max-w-md transform rounded-2xl bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200 p-6 text-left align-middle shadow-xl transition-all">
+                <DialogTitle className="text-lg font-medium leading-6 dark:text-white">
+                  Delete Confirmation
+                </DialogTitle>
+                <Description className="text-sm dark:text-white/70 text-black/70">
+                  Are you sure you want to delete {chatIds.length} selected thread{chatIds.length !== 1 ? 's' : ''}?
+                </Description>
+                <div className="flex flex-row items-end justify-end space-x-4 mt-6">
+                  <button
+                    onClick={() => {
+                      if (!loading) {
+                        setIsOpen(false);
+                      }
+                    }}
+                    className="text-black/50 dark:text-white/50 text-sm hover:text-black/70 hover:dark:text-white/70 transition duration-200"
+                  >
+                    Cancel
+                  </button>
+                  <button
+                    onClick={handleDelete}
+                    className="text-red-400 text-sm hover:text-red-500 transition duration-200"
+                    disabled={loading}
+                  >
+                    Delete
+                  </button>
+                </div>
+              </DialogPanel>
+            </TransitionChild>
+          </div>
+        </div>
+      </Dialog>
+    </Transition>
+  );
+};
+
+export default BatchDeleteChats;

src/components/ChatWindow.tsx

@@ -363,6 +363,7 @@ const ChatWindow = ({ id }: { id?: string }) => {
 
       if (data.type === 'sources') {
         sources = data.data;
+        if (!added) {
           setMessages((prevMessages) => [
             ...prevMessages,
             {
@@ -375,6 +376,7 @@ const ChatWindow = ({ id }: { id?: string }) => {
             },
           ]);
           added = true;
+        }
         setMessageAppeared(true);
       }
 
@@ -392,8 +394,8 @@ const ChatWindow = ({ id }: { id?: string }) => {
             },
           ]);
           added = true;
-          setMessageAppeared(true);
-        } else {
+        }
+
         setMessages((prev) =>
           prev.map((message) => {
             if (message.messageId === data.messageId) {
@@ -403,9 +405,9 @@ const ChatWindow = ({ id }: { id?: string }) => {
             return message;
           }),
         );
-        }
 
         recievedMessage += data.data;
+        setMessageAppeared(true);
       }
 
       if (data.type === 'messageEnd') {

src/components/MessageBox.tsx

@@ -97,6 +97,7 @@ const MessageBox = ({
           },
         ),
       );
+      setSpeechMessage(message.content.replace(regex, ''));
       return;
     }
 

src/components/MessageInputActions/Optimization.tsx

@@ -76,11 +76,13 @@ const Optimization = ({
               <PopoverButton
                 onClick={() => setOptimizationMode(mode.key)}
                 key={i}
+                disabled={mode.key === 'quality'}
                 className={cn(
                   'p-2 rounded-lg flex flex-col items-start justify-start text-start space-y-1 duration-200 cursor-pointer transition',
                   optimizationMode === mode.key
                     ? 'bg-light-secondary dark:bg-dark-secondary'
                     : 'hover:bg-light-secondary dark:hover:bg-dark-secondary',
+                  mode.key === 'quality' && 'opacity-50 cursor-not-allowed',
                 )}
               >
                 <div className="flex flex-row items-center space-x-1 text-black dark:text-white">

src/lib/search/metaSearchAgent.ts

@@ -6,20 +6,24 @@ import {
   MessagesPlaceholder,
   PromptTemplate,
 } from '@langchain/core/prompts';
+import {
+  RunnableLambda,
+  RunnableMap,
+  RunnableSequence,
+} from '@langchain/core/runnables';
 import { BaseMessage } from '@langchain/core/messages';
 import { StringOutputParser } from '@langchain/core/output_parsers';
 import LineListOutputParser from '../outputParsers/listLineOutputParser';
 import LineOutputParser from '../outputParsers/lineOutputParser';
 import { getDocumentsFromLinks } from '../utils/documents';
 import { Document } from 'langchain/document';
-import { searchSearxng, SearxngSearchResult } from '../searxng';
+import { searchSearxng } from '../searxng';
 import path from 'node:path';
 import fs from 'node:fs';
 import computeSimilarity from '../utils/computeSimilarity';
 import formatChatHistoryAsString from '../utils/formatHistory';
 import eventEmitter from 'events';
 import { StreamEvent } from '@langchain/core/tracers/log_stream';
-import { EventEmitter } from 'node:stream';
 
 export interface MetaSearchAgentType {
   searchAndAnswer: (
@@ -43,7 +47,7 @@ interface Config {
   activeEngines: string[];
 }
 
-type SearchInput = {
+type BasicChainInput = {
   chat_history: BaseMessage[];
   query: string;
 };
@@ -56,25 +60,14 @@ class MetaSearchAgent implements MetaSearchAgentType {
     this.config = config;
   }
 
-  private async searchSources(
-    llm: BaseChatModel,
-    input: SearchInput,
-    emitter: EventEmitter,
-  ) {
+  private async createSearchRetrieverChain(llm: BaseChatModel) {
     (llm as unknown as ChatOpenAI).temperature = 0;
 
-    const chatPrompt = PromptTemplate.fromTemplate(
-      this.config.queryGeneratorPrompt,
-    );
-
-    const processedChatPrompt = await chatPrompt.invoke({
-      chat_history: formatChatHistoryAsString(input.chat_history),
-      query: input.query,
-    });
-
-    const llmRes = await llm.invoke(processedChatPrompt);
-    const messageStr = await this.strParser.invoke(llmRes);
-
+    return RunnableSequence.from([
+      PromptTemplate.fromTemplate(this.config.queryGeneratorPrompt),
+      llm,
+      this.strParser,
+      RunnableLambda.from(async (input: string) => {
         const linksOutputParser = new LineListOutputParser({
           key: 'links',
         });
@@ -83,10 +76,10 @@ class MetaSearchAgent implements MetaSearchAgentType {
           key: 'question',
         });
 
-    const links = await linksOutputParser.parse(messageStr);
+        const links = await linksOutputParser.parse(input);
         let question = this.config.summarizer
-      ? await questionOutputParser.parse(messageStr)
-      : messageStr;
+          ? await questionOutputParser.parse(input)
+          : input;
 
         if (question === 'not_needed') {
           return { query: '', docs: [] };
@@ -106,7 +99,8 @@ class MetaSearchAgent implements MetaSearchAgentType {
           linkDocs.map((doc) => {
             const URLDocExists = docGroups.find(
               (d) =>
-            d.metadata.url === doc.metadata.url && d.metadata.totalDocs < 10,
+                d.metadata.url === doc.metadata.url &&
+                d.metadata.totalDocs < 10,
             );
 
             if (!URLDocExists) {
@@ -121,7 +115,8 @@ class MetaSearchAgent implements MetaSearchAgentType {
 
             const docIndex = docGroups.findIndex(
               (d) =>
-            d.metadata.url === doc.metadata.url && d.metadata.totalDocs < 10,
+                d.metadata.url === doc.metadata.url &&
+                d.metadata.totalDocs < 10,
             );
 
             if (docIndex !== -1) {
@@ -233,162 +228,42 @@ class MetaSearchAgent implements MetaSearchAgentType {
 
           return { query: question, docs: documents };
         }
-  }
-
-  private async performDeepResearch(
-    llm: BaseChatModel,
-    input: SearchInput,
-    emitter: EventEmitter,
-  ) {
-    (llm as unknown as ChatOpenAI).temperature = 0;
-
-    const queryGenPrompt = PromptTemplate.fromTemplate(
-      this.config.queryGeneratorPrompt,
-    );
-
-    const formattedChatPrompt = await queryGenPrompt.invoke({
-      chat_history: formatChatHistoryAsString(input.chat_history),
-      query: input.query,
-    });
-
-    let i = 0;
-    let currentQuery = await this.strParser.invoke(
-      await llm.invoke(formattedChatPrompt),
-    );
-    const originalQuery = currentQuery;
-    const pastQueries: string[] = [];
-    const results: SearxngSearchResult[] = [];
-
-    while (i < 10) {
-      const res = await searchSearxng(currentQuery, {
-        language: 'en',
-        engines: this.config.activeEngines,
-      });
-
-      results.push(...res.results);
-
-      const reflectorPrompt = PromptTemplate.fromTemplate(`
-          You are an LLM that is tasked with reflecting on the results of a search query.
-
-          ## Goal
-          You will be given question of the user, a list of search results collected from the web to answer that question along with past queries made to collect those results. You have to analyze the results based on user's question and do the following:
-          
-          1. Identify unexplored areas or areas with less detailed information in the results and generate a new query that focuses on those areas. The new queries should be more specific and a similar query shall not exist in past queries which will be provided to you. Make sure to include keywords that you're looking for because the new query will be used to search the web for information on that topic. Make sure the query contains only 1 question and is not too long to ensure it is Search Engine friendly.
-          2. You'll have to generate a description explaining what you are doing for example "I am looking for more information about X" or "Understanding how X works" etc. The description should be short and concise.
-          
-          ## Output format
-
-          You need to output in XML format and do not generate any other text. ake sure to not include any other text in the output or start a conversation in the output. The output should be in the following format:
-
-          <query>(query)</query>
-          <description>(description)</description>
-
-          ## Example
-          Say the user asked "What is Llama 4 by Meta?" and let search results contain information about Llama 4 being an LLM and very little information about its features. You can output:
-
-          <query>Llama 4 features</query> // Generate queries that capture keywords for SEO and not making words like "How", "What", "Why" etc.
-          <description>Looking for new features in Llama 4</description>
-
-          or something like
-
-          <query>How is Llama 4 better than its previous generation models</query>
-          <description>Understanding the difference between Llama 4 and previous generation models.</description>
-          
-          ## BELOW IS THE ACTUAL DATA YOU WILL BE WORKING WITH. IT IS NOT A PART OF EXAMPLES. YOU'LL HAVE TO GENERATE YOUR ANSWER BASED ON THIS DATA.
-          <user_question>\n{question}\n</user_question>
-          <search_results>\n{search_results}\n</search_results>
-          <past_queries>\n{past_queries}\n</past_queries>
-
-          Response:
-      `);
-
-      const formattedReflectorPrompt = await reflectorPrompt.invoke({
-        question: originalQuery,
-        search_results: results
-          .map(
-            (result) => `<result>${result.title} - ${result.content}</result>`,
-          )
-          .join('\n'),
-        past_queries: pastQueries.map((q) => `<query>${q}</query>`).join('\n'),
-      });
-
-      const feedback = await this.strParser.invoke(
-        await llm.invoke(formattedReflectorPrompt),
-      );
-
-      console.log(`Feedback: ${feedback}`);
-
-      const queryOutputParser = new LineOutputParser({
-        key: 'query',
-      });
-
-      const descriptionOutputParser = new LineOutputParser({
-        key: 'description',
-      });
-
-      currentQuery = await queryOutputParser.parse(feedback);
-      const description = await descriptionOutputParser.parse(feedback);
-      console.log(`Query: ${currentQuery}`);
-      console.log(`Description: ${description}`);
-
-      pastQueries.push(currentQuery);
-      ++i;
-    }
-
-    const uniqueResults: SearxngSearchResult[] = [];
-
-    results.forEach((res) => {
-      const exists = uniqueResults.find((r) => r.url === res.url);
-
-      if (!exists) {
-        uniqueResults.push(res);
-      } else {
-        exists.content += `\n\n` + res.content;
-      }
-    });
-
-    const documents = uniqueResults /* .slice(0, 50) */
-      .map(
-        (r) =>
-          new Document({
-            pageContent: r.content || '',
-            metadata: {
-              title: r.title,
-              url: r.url,
-              ...(r.img_src && { img_src: r.img_src }),
-            },
       }),
-      );
-
-    return documents;
+    ]);
   }
 
-  private async streamAnswer(
+  private async createAnsweringChain(
     llm: BaseChatModel,
     fileIds: string[],
     embeddings: Embeddings,
     optimizationMode: 'speed' | 'balanced' | 'quality',
     systemInstructions: string,
-    input: SearchInput,
-    emitter: EventEmitter,
   ) {
-    const chatPrompt = ChatPromptTemplate.fromMessages([
-      ['system', this.config.responsePrompt],
-      new MessagesPlaceholder('chat_history'),
-      ['user', '{query}'],
-    ]);
+    return RunnableSequence.from([
+      RunnableMap.from({
+        systemInstructions: () => systemInstructions,
+        query: (input: BasicChainInput) => input.query,
+        chat_history: (input: BasicChainInput) => input.chat_history,
+        date: () => new Date().toISOString(),
+        context: RunnableLambda.from(async (input: BasicChainInput) => {
+          const processedHistory = formatChatHistoryAsString(
+            input.chat_history,
+          );
 
-    let context = '';
-
-    if (optimizationMode === 'speed' || optimizationMode === 'balanced') {
           let docs: Document[] | null = null;
           let query = input.query;
 
           if (this.config.searchWeb) {
-        const searchResults = await this.searchSources(llm, input, emitter);
+            const searchRetrieverChain =
+              await this.createSearchRetrieverChain(llm);
 
-        query = searchResults.query;
-        docs = searchResults.docs;
+            const searchRetrieverResult = await searchRetrieverChain.invoke({
+              chat_history: processedHistory,
+              query,
+            });
+
+            query = searchRetrieverResult.query;
+            docs = searchRetrieverResult.docs;
           }
 
           const sortedDocs = await this.rerankDocs(
@@ -399,42 +274,23 @@ class MetaSearchAgent implements MetaSearchAgentType {
             optimizationMode,
           );
 
-      emitter.emit(
-        'data',
-        JSON.stringify({ type: 'sources', data: sortedDocs }),
-      );
-
-      context = this.processDocs(sortedDocs);
-    } else if (optimizationMode === 'quality') {
-      let docs: Document[] = [];
-
-      docs = await this.performDeepResearch(llm, input, emitter);
-
-      emitter.emit('data', JSON.stringify({ type: 'sources', data: docs }));
-
-      context = this.processDocs(docs);
-    }
-
-    const formattedChatPrompt = await chatPrompt.invoke({
-      query: input.query,
-      chat_history: input.chat_history,
-      date: new Date().toISOString(),
-      context: context,
-      systemInstructions: systemInstructions,
+          return sortedDocs;
+        })
+          .withConfig({
+            runName: 'FinalSourceRetriever',
+          })
+          .pipe(this.processDocs),
+      }),
+      ChatPromptTemplate.fromMessages([
+        ['system', this.config.responsePrompt],
+        new MessagesPlaceholder('chat_history'),
+        ['user', '{query}'],
+      ]),
+      llm,
+      this.strParser,
+    ]).withConfig({
+      runName: 'FinalResponseGenerator',
     });
-
-    const llmRes = await llm.stream(formattedChatPrompt);
-
-    for await (const data of llmRes) {
-      const messageStr = await this.strParser.invoke(data);
-
-      emitter.emit(
-        'data',
-        JSON.stringify({ type: 'response', data: messageStr }),
-      );
-    }
-
-    emitter.emit('end');
   }
 
   private async rerankDocs(
@@ -570,13 +426,44 @@ class MetaSearchAgent implements MetaSearchAgentType {
     return docs
       .map(
         (_, index) =>
-          `${index + 1}. ${docs[index].metadata.title} ${
-            docs[index].pageContent
-          }`,
+          `${index + 1}. ${docs[index].metadata.title} ${docs[index].pageContent}`,
       )
       .join('\n');
   }
 
+  private async handleStream(
+    stream: AsyncGenerator<StreamEvent, any, any>,
+    emitter: eventEmitter,
+  ) {
+    for await (const event of stream) {
+      if (
+        event.event === 'on_chain_end' &&
+        event.name === 'FinalSourceRetriever'
+      ) {
+        ``;
+        emitter.emit(
+          'data',
+          JSON.stringify({ type: 'sources', data: event.data.output }),
+        );
+      }
+      if (
+        event.event === 'on_chain_stream' &&
+        event.name === 'FinalResponseGenerator'
+      ) {
+        emitter.emit(
+          'data',
+          JSON.stringify({ type: 'response', data: event.data.chunk }),
+        );
+      }
+      if (
+        event.event === 'on_chain_end' &&
+        event.name === 'FinalResponseGenerator'
+      ) {
+        emitter.emit('end');
+      }
+    }
+  }
+
   async searchAndAnswer(
     message: string,
     history: BaseMessage[],
@@ -588,19 +475,26 @@ class MetaSearchAgent implements MetaSearchAgentType {
   ) {
     const emitter = new eventEmitter();
 
-    this.streamAnswer(
+    const answeringChain = await this.createAnsweringChain(
       llm,
       fileIds,
       embeddings,
       optimizationMode,
       systemInstructions,
+    );
+
+    const stream = answeringChain.streamEvents(
       {
         chat_history: history,
         query: message,
       },
-      emitter,
+      {
+        version: 'v1',
+      },
     );
 
+    this.handleStream(stream, emitter);
+
     return emitter;
   }
 }

src/lib/searxng.ts

@@ -8,7 +8,7 @@ interface SearxngSearchOptions {
   pageno?: number;
 }
 
-export interface SearxngSearchResult {
+interface SearxngSearchResult {
   title: string;
   url: string;
   img_src?: string;