94 lines
2.3 KiB
TypeScript
94 lines
2.3 KiB
TypeScript
import * as fs from 'fs/promises'
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import * as readline from 'readline'
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import { deepResearch, writeFinalReport } from './deep-research'
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import { generateFeedback } from './feedback'
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const rl = readline.createInterface({
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input: process.stdin,
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output: process.stdout,
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})
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// Helper function to get user input
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function askQuestion(query: string): Promise<string> {
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return new Promise((resolve) => {
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rl.question(query, (answer) => {
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resolve(answer)
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})
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})
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}
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// run the agent
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async function run() {
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// Get initial query
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const initialQuery = await askQuestion('What would you like to research? ')
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// Get breath and depth parameters
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const breadth =
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parseInt(
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await askQuestion(
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'Enter research breadth (recommended 2-10, default 4): ',
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),
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10,
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) || 4
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const depth =
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parseInt(
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await askQuestion('Enter research depth (recommended 1-5, default 2): '),
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10,
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) || 2
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console.log(`Creating research plan...`)
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// Generate follow-up questions
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const followUpQuestions = await generateFeedback({
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query: initialQuery,
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})
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console.log(
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'\nTo better understand your research needs, please answer these follow-up questions:',
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)
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// Collect answers to follow-up questions
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const answers: string[] = []
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for (const question of followUpQuestions) {
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const answer = await askQuestion(`\n${question}\nYour answer: `)
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answers.push(answer)
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}
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// Combine all information for deep research
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const combinedQuery = `
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Initial Query: ${initialQuery}
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Follow-up Questions and Answers:
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${followUpQuestions.map((q, i) => `Q: ${q}\nA: ${answers[i]}`).join('\n')}
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`
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console.log('\nResearching your topic...')
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const { learnings, visitedUrls } = await deepResearch({
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query: combinedQuery,
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breadth,
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depth,
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})
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console.log(`\n\nLearnings:\n\n${learnings.join('\n')}`)
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console.log(
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`\n\nVisited URLs (${visitedUrls.length}):\n\n${visitedUrls.join('\n')}`,
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)
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console.log('Writing final report...')
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const report = await writeFinalReport({
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prompt: combinedQuery,
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learnings,
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visitedUrls,
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})
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// Save report to file
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await fs.writeFile('output.md', report, 'utf-8')
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console.log(`\n\nFinal Report:\n\n${report}`)
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console.log('\nReport has been saved to output.md')
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rl.close()
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}
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run().catch(console.error)
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