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8 Commits

Author SHA1 Message Date
ItzCrazyKns
83f1c6ce12 Merge pull request #736 from ItzCrazyKns/master
Merge master into feat/deep-research
2025-04-08 12:28:46 +05:30
ItzCrazyKns
fd6c58734d feat(metaSearchAgent): add quality optimization mode 2025-04-08 12:27:48 +05:30
ItzCrazyKns
114a7aa09d Merge pull request #728 from ItzCrazyKns/master-deep-research
Merge master into feat/deep-research
2025-04-07 10:21:34 +05:30
ItzCrazyKns
d0ba8c9038 Merge branch 'feat/deep-research' into master-deep-research 2025-04-07 10:21:22 +05:30
ItzCrazyKns
934fb0a23b Update metaSearchAgent.ts 2025-04-07 10:18:11 +05:30
ItzCrazyKns
8ecf3b4e99 feat(chat-window): update message handling 2025-04-02 13:02:45 +05:30
ItzCrazyKns
b5ee8386e7 Merge pull request #714 from ItzCrazyKns/master
Merge master into feat/deep-research
2025-04-01 14:16:45 +05:30
ItzCrazyKns
0fcd598ff7 feat(metaSearchAgent): eliminate runnables 2025-03-24 17:27:54 +05:30
8 changed files with 405 additions and 617 deletions

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@ -159,7 +159,6 @@ 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 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) [![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 ## Upcoming Features

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@ -1,12 +1,10 @@
'use client'; 'use client';
import DeleteChat from '@/components/DeleteChat'; import DeleteChat from '@/components/DeleteChat';
import BatchDeleteChats from '@/components/BatchDeleteChats';
import { cn, formatTimeDifference } from '@/lib/utils'; import { cn, formatTimeDifference } from '@/lib/utils';
import { BookOpenText, Check, ClockIcon, Delete, ScanEye, Search, X } from 'lucide-react'; import { BookOpenText, ClockIcon, Delete, ScanEye } from 'lucide-react';
import Link from 'next/link'; import Link from 'next/link';
import { useEffect, useState } from 'react'; import { useEffect, useState } from 'react';
import { toast } from 'sonner';
export interface Chat { export interface Chat {
id: string; id: string;
@ -17,13 +15,7 @@ export interface Chat {
const Page = () => { const Page = () => {
const [chats, setChats] = useState<Chat[]>([]); const [chats, setChats] = useState<Chat[]>([]);
const [filteredChats, setFilteredChats] = useState<Chat[]>([]);
const [loading, setLoading] = useState(true); 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(() => { useEffect(() => {
const fetchChats = async () => { const fetchChats = async () => {
@ -39,71 +31,12 @@ const Page = () => {
const data = await res.json(); const data = await res.json();
setChats(data.chats); setChats(data.chats);
setFilteredChats(data.chats);
setLoading(false); setLoading(false);
}; };
fetchChats(); 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 ? ( return loading ? (
<div className="flex flex-row items-center justify-center min-h-screen"> <div className="flex flex-row items-center justify-center min-h-screen">
<svg <svg
@ -131,145 +64,32 @@ const Page = () => {
<h1 className="text-3xl font-medium p-2">Library</h1> <h1 className="text-3xl font-medium p-2">Library</h1>
</div> </div>
<hr className="border-t border-[#2B2C2C] my-4 w-full" /> <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> </div>
<input {chats.length === 0 && (
type="text" <div className="flex flex-row items-center justify-center min-h-screen">
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"> <p className="text-black/70 dark:text-white/70 text-sm">
{searchQuery ? 'No threads found matching your search.' : 'No threads found.'} No chats found.
</p> </p>
</div> </div>
)} )}
{chats.length > 0 && (
{filteredChats.length > 0 && (
<div className="flex flex-col pb-20 lg:pb-2"> <div className="flex flex-col pb-20 lg:pb-2">
{filteredChats.map((chat, i) => ( {chats.map((chat, i) => (
<div <div
className={cn( className={cn(
'flex flex-col space-y-4 py-6', 'flex flex-col space-y-4 py-6',
i !== filteredChats.length - 1 i !== chats.length - 1
? 'border-b border-white-200 dark:border-dark-200' ? 'border-b border-white-200 dark:border-dark-200'
: '', : '',
)} )}
key={i} 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 <Link
href={`/c/${chat.id}`} href={`/c/${chat.id}`}
className={cn( className="text-black dark:text-white lg:text-xl font-medium truncate transition duration-200 hover:text-[#24A0ED] dark:hover:text-[#24A0ED] cursor-pointer"
"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} {chat.title}
</Link> </Link>
</div>
<div className="flex flex-row items-center justify-between w-full"> <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"> <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} /> <ClockIcon size={15} />
@ -277,30 +97,16 @@ const Page = () => {
{formatTimeDifference(new Date(), chat.createdAt)} Ago {formatTimeDifference(new Date(), chat.createdAt)} Ago
</p> </p>
</div> </div>
{/* Delete button - only visible when not in selection mode */}
{!selectionMode && (
<DeleteChat <DeleteChat
chatId={chat.id} chatId={chat.id}
chats={chats} chats={chats}
setChats={updateChatsAfterDelete} setChats={setChats}
/> />
)}
</div> </div>
</div> </div>
))} ))}
</div> </div>
)} )}
{/* Batch Delete Confirmation Dialog */}
<BatchDeleteChats
chatIds={selectedChats}
chats={chats}
setChats={updateChatsAfterDelete}
onComplete={handleBatchDeleteComplete}
isOpen={isDeleteDialogOpen}
setIsOpen={setIsDeleteDialogOpen}
/>
</div> </div>
); );
}; };

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@ -1,118 +0,0 @@
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;

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

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

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@ -76,13 +76,11 @@ const Optimization = ({
<PopoverButton <PopoverButton
onClick={() => setOptimizationMode(mode.key)} onClick={() => setOptimizationMode(mode.key)}
key={i} key={i}
disabled={mode.key === 'quality'}
className={cn( className={cn(
'p-2 rounded-lg flex flex-col items-start justify-start text-start space-y-1 duration-200 cursor-pointer transition', 'p-2 rounded-lg flex flex-col items-start justify-start text-start space-y-1 duration-200 cursor-pointer transition',
optimizationMode === mode.key optimizationMode === mode.key
? 'bg-light-secondary dark:bg-dark-secondary' ? 'bg-light-secondary dark:bg-dark-secondary'
: 'hover:bg-light-secondary dark:hover: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"> <div className="flex flex-row items-center space-x-1 text-black dark:text-white">

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@ -6,24 +6,20 @@ import {
MessagesPlaceholder, MessagesPlaceholder,
PromptTemplate, PromptTemplate,
} from '@langchain/core/prompts'; } from '@langchain/core/prompts';
import {
RunnableLambda,
RunnableMap,
RunnableSequence,
} from '@langchain/core/runnables';
import { BaseMessage } from '@langchain/core/messages'; import { BaseMessage } from '@langchain/core/messages';
import { StringOutputParser } from '@langchain/core/output_parsers'; import { StringOutputParser } from '@langchain/core/output_parsers';
import LineListOutputParser from '../outputParsers/listLineOutputParser'; import LineListOutputParser from '../outputParsers/listLineOutputParser';
import LineOutputParser from '../outputParsers/lineOutputParser'; import LineOutputParser from '../outputParsers/lineOutputParser';
import { getDocumentsFromLinks } from '../utils/documents'; import { getDocumentsFromLinks } from '../utils/documents';
import { Document } from 'langchain/document'; import { Document } from 'langchain/document';
import { searchSearxng } from '../searxng'; import { searchSearxng, SearxngSearchResult } from '../searxng';
import path from 'node:path'; import path from 'node:path';
import fs from 'node:fs'; import fs from 'node:fs';
import computeSimilarity from '../utils/computeSimilarity'; import computeSimilarity from '../utils/computeSimilarity';
import formatChatHistoryAsString from '../utils/formatHistory'; import formatChatHistoryAsString from '../utils/formatHistory';
import eventEmitter from 'events'; import eventEmitter from 'events';
import { StreamEvent } from '@langchain/core/tracers/log_stream'; import { StreamEvent } from '@langchain/core/tracers/log_stream';
import { EventEmitter } from 'node:stream';
export interface MetaSearchAgentType { export interface MetaSearchAgentType {
searchAndAnswer: ( searchAndAnswer: (
@ -47,7 +43,7 @@ interface Config {
activeEngines: string[]; activeEngines: string[];
} }
type BasicChainInput = { type SearchInput = {
chat_history: BaseMessage[]; chat_history: BaseMessage[];
query: string; query: string;
}; };
@ -60,14 +56,25 @@ class MetaSearchAgent implements MetaSearchAgentType {
this.config = config; this.config = config;
} }
private async createSearchRetrieverChain(llm: BaseChatModel) { private async searchSources(
llm: BaseChatModel,
input: SearchInput,
emitter: EventEmitter,
) {
(llm as unknown as ChatOpenAI).temperature = 0; (llm as unknown as ChatOpenAI).temperature = 0;
return RunnableSequence.from([ const chatPrompt = PromptTemplate.fromTemplate(
PromptTemplate.fromTemplate(this.config.queryGeneratorPrompt), this.config.queryGeneratorPrompt,
llm, );
this.strParser,
RunnableLambda.from(async (input: string) => { 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);
const linksOutputParser = new LineListOutputParser({ const linksOutputParser = new LineListOutputParser({
key: 'links', key: 'links',
}); });
@ -76,10 +83,10 @@ class MetaSearchAgent implements MetaSearchAgentType {
key: 'question', key: 'question',
}); });
const links = await linksOutputParser.parse(input); const links = await linksOutputParser.parse(messageStr);
let question = this.config.summarizer let question = this.config.summarizer
? await questionOutputParser.parse(input) ? await questionOutputParser.parse(messageStr)
: input; : messageStr;
if (question === 'not_needed') { if (question === 'not_needed') {
return { query: '', docs: [] }; return { query: '', docs: [] };
@ -99,8 +106,7 @@ class MetaSearchAgent implements MetaSearchAgentType {
linkDocs.map((doc) => { linkDocs.map((doc) => {
const URLDocExists = docGroups.find( const URLDocExists = docGroups.find(
(d) => (d) =>
d.metadata.url === doc.metadata.url && d.metadata.url === doc.metadata.url && d.metadata.totalDocs < 10,
d.metadata.totalDocs < 10,
); );
if (!URLDocExists) { if (!URLDocExists) {
@ -115,8 +121,7 @@ class MetaSearchAgent implements MetaSearchAgentType {
const docIndex = docGroups.findIndex( const docIndex = docGroups.findIndex(
(d) => (d) =>
d.metadata.url === doc.metadata.url && d.metadata.url === doc.metadata.url && d.metadata.totalDocs < 10,
d.metadata.totalDocs < 10,
); );
if (docIndex !== -1) { if (docIndex !== -1) {
@ -228,42 +233,162 @@ class MetaSearchAgent implements MetaSearchAgentType {
return { query: question, docs: documents }; return { query: question, docs: documents };
} }
}),
]);
} }
private async createAnsweringChain( 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(
llm: BaseChatModel, llm: BaseChatModel,
fileIds: string[], fileIds: string[],
embeddings: Embeddings, embeddings: Embeddings,
optimizationMode: 'speed' | 'balanced' | 'quality', optimizationMode: 'speed' | 'balanced' | 'quality',
systemInstructions: string, systemInstructions: string,
input: SearchInput,
emitter: EventEmitter,
) { ) {
return RunnableSequence.from([ const chatPrompt = ChatPromptTemplate.fromMessages([
RunnableMap.from({ ['system', this.config.responsePrompt],
systemInstructions: () => systemInstructions, new MessagesPlaceholder('chat_history'),
query: (input: BasicChainInput) => input.query, ['user', '{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 docs: Document[] | null = null;
let query = input.query; let query = input.query;
if (this.config.searchWeb) { if (this.config.searchWeb) {
const searchRetrieverChain = const searchResults = await this.searchSources(llm, input, emitter);
await this.createSearchRetrieverChain(llm);
const searchRetrieverResult = await searchRetrieverChain.invoke({ query = searchResults.query;
chat_history: processedHistory, docs = searchResults.docs;
query,
});
query = searchRetrieverResult.query;
docs = searchRetrieverResult.docs;
} }
const sortedDocs = await this.rerankDocs( const sortedDocs = await this.rerankDocs(
@ -274,23 +399,42 @@ class MetaSearchAgent implements MetaSearchAgentType {
optimizationMode, optimizationMode,
); );
return sortedDocs; emitter.emit(
}) 'data',
.withConfig({ JSON.stringify({ type: 'sources', data: sortedDocs }),
runName: 'FinalSourceRetriever', );
})
.pipe(this.processDocs), context = this.processDocs(sortedDocs);
}), } else if (optimizationMode === 'quality') {
ChatPromptTemplate.fromMessages([ let docs: Document[] = [];
['system', this.config.responsePrompt],
new MessagesPlaceholder('chat_history'), docs = await this.performDeepResearch(llm, input, emitter);
['user', '{query}'],
]), emitter.emit('data', JSON.stringify({ type: 'sources', data: docs }));
llm,
this.strParser, context = this.processDocs(docs);
]).withConfig({ }
runName: 'FinalResponseGenerator',
const formattedChatPrompt = await chatPrompt.invoke({
query: input.query,
chat_history: input.chat_history,
date: new Date().toISOString(),
context: context,
systemInstructions: systemInstructions,
}); });
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( private async rerankDocs(
@ -426,44 +570,13 @@ class MetaSearchAgent implements MetaSearchAgentType {
return docs return docs
.map( .map(
(_, index) => (_, index) =>
`${index + 1}. ${docs[index].metadata.title} ${docs[index].pageContent}`, `${index + 1}. ${docs[index].metadata.title} ${
docs[index].pageContent
}`,
) )
.join('\n'); .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( async searchAndAnswer(
message: string, message: string,
history: BaseMessage[], history: BaseMessage[],
@ -475,26 +588,19 @@ class MetaSearchAgent implements MetaSearchAgentType {
) { ) {
const emitter = new eventEmitter(); const emitter = new eventEmitter();
const answeringChain = await this.createAnsweringChain( this.streamAnswer(
llm, llm,
fileIds, fileIds,
embeddings, embeddings,
optimizationMode, optimizationMode,
systemInstructions, systemInstructions,
);
const stream = answeringChain.streamEvents(
{ {
chat_history: history, chat_history: history,
query: message, query: message,
}, },
{ emitter,
version: 'v1',
},
); );
this.handleStream(stream, emitter);
return emitter; return emitter;
} }
} }

View File

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