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4 Commits

Author SHA1 Message Date
ItzCrazyKns
604774ef6e feat(social-search): add social search 2025-12-18 13:56:39 +05:30
ItzCrazyKns
ac183a90e8 feat(academic-search): add academic search 2025-12-18 13:56:26 +05:30
ItzCrazyKns
5511a276d4 Update Sources.tsx 2025-12-18 13:56:08 +05:30
ItzCrazyKns
473a04b6a5 feat(suggestions): prevent icon from shrinking 2025-12-18 13:56:04 +05:30
5 changed files with 266 additions and 4 deletions

View File

@@ -220,8 +220,8 @@ const MessageBox = ({
<div className="flex items-center justify-between gap-3"> <div className="flex items-center justify-between gap-3">
<div className="flex flex-row space-x-3 items-center"> <div className="flex flex-row space-x-3 items-center">
<CornerDownRight <CornerDownRight
size={17} size={15}
className="group-hover:text-sky-400 transition-colors duration-200" className="group-hover:text-sky-400 transition-colors duration-200 flex-shrink-0"
/> />
<p className="text-sm text-black/70 dark:text-white/70 group-hover:text-sky-400 transition-colors duration-200 leading-relaxed"> <p className="text-sm text-black/70 dark:text-white/70 group-hover:text-sky-400 transition-colors duration-200 leading-relaxed">
{suggestion} {suggestion}

View File

@@ -25,7 +25,7 @@ const sourcesList = [
}, },
{ {
name: 'Social', name: 'Social',
key: 'social', key: 'discussions',
icon: <NetworkIcon className="h-[16px] w-auto" />, icon: <NetworkIcon className="h-[16px] w-auto" />,
}, },
]; ];

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@@ -0,0 +1,129 @@
import z from 'zod';
import { ResearchAction } from '../../types';
import { Chunk, SearchResultsResearchBlock } from '@/lib/types';
import { searchSearxng } from '@/lib/searxng';
const schema = z.object({
queries: z.array(z.string()).describe('List of academic search queries'),
});
const academicSearchDescription = `
Use this tool to perform academic searches for scholarly articles, papers, and research studies relevant to the user's query. Provide a list of concise search queries that will help gather comprehensive academic information on the topic at hand.
You can provide up to 3 queries at a time. Make sure the queries are specific and relevant to the user's needs.
For example, if the user is interested in recent advancements in renewable energy, your queries could be:
1. "Recent advancements in renewable energy 2024"
2. "Cutting-edge research on solar power technologies"
3. "Innovations in wind energy systems"
If this tool is present and no other tools are more relevant, you MUST use this tool to get the needed academic information.
`;
const academicSearchAction: ResearchAction<typeof schema> = {
name: 'academic_search',
schema: schema,
getDescription: () => academicSearchDescription,
getToolDescription: () =>
"Use this tool to perform academic searches for scholarly articles, papers, and research studies relevant to the user's query. Provide a list of concise search queries that will help gather comprehensive academic information on the topic at hand.",
enabled: (config) =>
config.sources.includes('academic') &&
config.classification.classification.skipSearch === false &&
config.classification.classification.academicSearch === true,
execute: async (input, additionalConfig) => {
input.queries = input.queries.slice(0, 3);
const researchBlock = additionalConfig.session.getBlock(
additionalConfig.researchBlockId,
);
if (researchBlock && researchBlock.type === 'research') {
researchBlock.data.subSteps.push({
type: 'searching',
id: crypto.randomUUID(),
searching: input.queries,
});
additionalConfig.session.updateBlock(additionalConfig.researchBlockId, [
{
op: 'replace',
path: '/data/subSteps',
value: researchBlock.data.subSteps,
},
]);
}
const searchResultsBlockId = crypto.randomUUID();
let searchResultsEmitted = false;
let results: Chunk[] = [];
const search = async (q: string) => {
const res = await searchSearxng(q, {
engines: ['arxiv', 'google scholar', 'pubmed'],
});
const resultChunks: Chunk[] = res.results.map((r) => ({
content: r.content || r.title,
metadata: {
title: r.title,
url: r.url,
},
}));
results.push(...resultChunks);
if (
!searchResultsEmitted &&
researchBlock &&
researchBlock.type === 'research'
) {
searchResultsEmitted = true;
researchBlock.data.subSteps.push({
id: searchResultsBlockId,
type: 'search_results',
reading: resultChunks,
});
additionalConfig.session.updateBlock(additionalConfig.researchBlockId, [
{
op: 'replace',
path: '/data/subSteps',
value: researchBlock.data.subSteps,
},
]);
} else if (
searchResultsEmitted &&
researchBlock &&
researchBlock.type === 'research'
) {
const subStepIndex = researchBlock.data.subSteps.findIndex(
(step) => step.id === searchResultsBlockId,
);
const subStep = researchBlock.data.subSteps[
subStepIndex
] as SearchResultsResearchBlock;
subStep.reading.push(...resultChunks);
additionalConfig.session.updateBlock(additionalConfig.researchBlockId, [
{
op: 'replace',
path: '/data/subSteps',
value: researchBlock.data.subSteps,
},
]);
}
};
await Promise.all(input.queries.map(search));
return {
type: 'search_results',
results,
};
},
};
export default academicSearchAction;

View File

@@ -1,7 +1,9 @@
import academicSearchAction from './academicSearch';
import doneAction from './done'; import doneAction from './done';
import planAction from './plan'; import planAction from './plan';
import ActionRegistry from './registry'; import ActionRegistry from './registry';
import scrapeURLAction from './scrapeURL'; import scrapeURLAction from './scrapeURL';
import socialSearchAction from './socialSearch';
import uploadsSearchAction from './uploadsSearch'; import uploadsSearchAction from './uploadsSearch';
import webSearchAction from './webSearch'; import webSearchAction from './webSearch';
@@ -10,5 +12,7 @@ ActionRegistry.register(doneAction);
ActionRegistry.register(planAction); ActionRegistry.register(planAction);
ActionRegistry.register(scrapeURLAction); ActionRegistry.register(scrapeURLAction);
ActionRegistry.register(uploadsSearchAction); ActionRegistry.register(uploadsSearchAction);
ActionRegistry.register(academicSearchAction);
ActionRegistry.register(socialSearchAction);
export { ActionRegistry }; export { ActionRegistry };

View File

@@ -0,0 +1,129 @@
import z from 'zod';
import { ResearchAction } from '../../types';
import { Chunk, SearchResultsResearchBlock } from '@/lib/types';
import { searchSearxng } from '@/lib/searxng';
const schema = z.object({
queries: z.array(z.string()).describe('List of social search queries'),
});
const socialSearchDescription = `
Use this tool to perform social media searches for relevant posts, discussions, and trends related to the user's query. Provide a list of concise search queries that will help gather comprehensive social media information on the topic at hand.
You can provide up to 3 queries at a time. Make sure the queries are specific and relevant to the user's needs.
For example, if the user is interested in public opinion on electric vehicles, your queries could be:
1. "Electric vehicles public opinion 2024"
2. "Social media discussions on EV adoption"
3. "Trends in electric vehicle usage"
If this tool is present and no other tools are more relevant, you MUST use this tool to get the needed social media information.
`;
const socialSearchAction: ResearchAction<typeof schema> = {
name: 'social_search',
schema: schema,
getDescription: () => socialSearchDescription,
getToolDescription: () =>
"Use this tool to perform social media searches for relevant posts, discussions, and trends related to the user's query. Provide a list of concise search queries that will help gather comprehensive social media information on the topic at hand.",
enabled: (config) =>
config.sources.includes('discussions') &&
config.classification.classification.skipSearch === false &&
config.classification.classification.discussionSearch === true,
execute: async (input, additionalConfig) => {
input.queries = input.queries.slice(0, 3);
const researchBlock = additionalConfig.session.getBlock(
additionalConfig.researchBlockId,
);
if (researchBlock && researchBlock.type === 'research') {
researchBlock.data.subSteps.push({
type: 'searching',
id: crypto.randomUUID(),
searching: input.queries,
});
additionalConfig.session.updateBlock(additionalConfig.researchBlockId, [
{
op: 'replace',
path: '/data/subSteps',
value: researchBlock.data.subSteps,
},
]);
}
const searchResultsBlockId = crypto.randomUUID();
let searchResultsEmitted = false;
let results: Chunk[] = [];
const search = async (q: string) => {
const res = await searchSearxng(q, {
engines: ['reddit'],
});
const resultChunks: Chunk[] = res.results.map((r) => ({
content: r.content || r.title,
metadata: {
title: r.title,
url: r.url,
},
}));
results.push(...resultChunks);
if (
!searchResultsEmitted &&
researchBlock &&
researchBlock.type === 'research'
) {
searchResultsEmitted = true;
researchBlock.data.subSteps.push({
id: searchResultsBlockId,
type: 'search_results',
reading: resultChunks,
});
additionalConfig.session.updateBlock(additionalConfig.researchBlockId, [
{
op: 'replace',
path: '/data/subSteps',
value: researchBlock.data.subSteps,
},
]);
} else if (
searchResultsEmitted &&
researchBlock &&
researchBlock.type === 'research'
) {
const subStepIndex = researchBlock.data.subSteps.findIndex(
(step) => step.id === searchResultsBlockId,
);
const subStep = researchBlock.data.subSteps[
subStepIndex
] as SearchResultsResearchBlock;
subStep.reading.push(...resultChunks);
additionalConfig.session.updateBlock(additionalConfig.researchBlockId, [
{
op: 'replace',
path: '/data/subSteps',
value: researchBlock.data.subSteps,
},
]);
}
};
await Promise.all(input.queries.map(search));
return {
type: 'search_results',
results,
};
},
};
export default socialSearchAction;