60 lines
1.3 KiB
JavaScript
60 lines
1.3 KiB
JavaScript
import { CaptchaLMSolver } from 'captchalm/client';
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import readline from 'readline';
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const solver = new CaptchaLMSolver();
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const API_URL = 'http://localhost:3000';
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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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console.log(`
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🤖 AI Agent Initialize...
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Target: ${API_URL}
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-----------------------
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`);
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const postTweet = async (content) => {
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try {
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process.stdout.write('Solving captcha... ');
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const start = Date.now();
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const response = await solver.completeProtectedRequest(
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`${API_URL}/api/challenge`,
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`${API_URL}/api/posts`,
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{
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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content,
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username: 'Verified Bot',
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handle: '@gpt_agent'
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})
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}
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);
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const time = Date.now() - start;
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if (response.ok) {
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console.log(`✅ Solved in ${time}ms! Post created.`);
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} else {
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console.log('❌ Failed.');
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console.log(await response.text());
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}
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} catch (err) {
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console.log('❌ Error:', err.message);
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}
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};
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const ask = () => {
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rl.question('\nEnter tweet content (or Ctrl+C to quit): ', async (content) => {
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if (content.trim()) {
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await postTweet(content);
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}
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ask();
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});
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};
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ask();
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