style: prettier format

lib/run.ts

@@ -1,27 +1,27 @@
-import * as fs from 'fs/promises';
-import * as readline from 'readline';
+import * as fs from 'fs/promises'
+import * as readline from 'readline'
 
-import { deepResearch, writeFinalReport } from './deep-research';
-import { generateFeedback } from './feedback';
+import { deepResearch, writeFinalReport } from './deep-research'
+import { generateFeedback } from './feedback'
 
 const rl = readline.createInterface({
   input: process.stdin,
   output: process.stdout,
-});
+})
 
 // Helper function to get user input
 function askQuestion(query: string): Promise<string> {
-  return new Promise(resolve => {
-    rl.question(query, answer => {
-      resolve(answer);
-    });
-  });
+  return new Promise((resolve) => {
+    rl.question(query, (answer) => {
+      resolve(answer)
+    })
+  })
 }
 
 // run the agent
 async function run() {
   // Get initial query
-  const initialQuery = await askQuestion('What would you like to research? ');
+  const initialQuery = await askQuestion('What would you like to research? ')
 
   // Get breath and depth parameters
   const breadth =
@@ -30,29 +30,29 @@ async function run() {
         'Enter research breadth (recommended 2-10, default 4): ',
       ),
       10,
-    ) || 4;
+    ) || 4
   const depth =
     parseInt(
       await askQuestion('Enter research depth (recommended 1-5, default 2): '),
       10,
-    ) || 2;
+    ) || 2
 
-  console.log(`Creating research plan...`);
+  console.log(`Creating research plan...`)
 
   // Generate follow-up questions
   const followUpQuestions = await generateFeedback({
     query: initialQuery,
-  });
+  })
 
   console.log(
     '\nTo better understand your research needs, please answer these follow-up questions:',
-  );
+  )
 
   // Collect answers to follow-up questions
-  const answers: string[] = [];
+  const answers: string[] = []
   for (const question of followUpQuestions) {
-    const answer = await askQuestion(`\n${question}\nYour answer: `);
-    answers.push(answer);
+    const answer = await askQuestion(`\n${question}\nYour answer: `)
+    answers.push(answer)
   }
 
   // Combine all information for deep research
@@ -60,34 +60,34 @@ async function run() {
 Initial Query: ${initialQuery}
 Follow-up Questions and Answers:
 ${followUpQuestions.map((q, i) => `Q: ${q}\nA: ${answers[i]}`).join('\n')}
-`;
+`
 
-  console.log('\nResearching your topic...');
+  console.log('\nResearching your topic...')
 
   const { learnings, visitedUrls } = await deepResearch({
     query: combinedQuery,
     breadth,
     depth,
-  });
+  })
 
-  console.log(`\n\nLearnings:\n\n${learnings.join('\n')}`);
+  console.log(`\n\nLearnings:\n\n${learnings.join('\n')}`)
   console.log(
     `\n\nVisited URLs (${visitedUrls.length}):\n\n${visitedUrls.join('\n')}`,
-  );
-  console.log('Writing final report...');
+  )
+  console.log('Writing final report...')
 
   const report = await writeFinalReport({
     prompt: combinedQuery,
     learnings,
     visitedUrls,
-  });
+  })
 
   // Save report to file
-  await fs.writeFile('output.md', report, 'utf-8');
+  await fs.writeFile('output.md', report, 'utf-8')
 
-  console.log(`\n\nFinal Report:\n\n${report}`);
-  console.log('\nReport has been saved to output.md');
-  rl.close();
+  console.log(`\n\nFinal Report:\n\n${report}`)
+  console.log('\nReport has been saved to output.md')
+  rl.close()
 }
 
-run().catch(console.error);
+run().catch(console.error)