user: from here remove the prediction and image analyzation: const express = require('express');
const { connect } = require('puppeteer-real-browser');
const path = require('path');
const fs = require('fs');
const onnx = require('onnxjs-node');
const jimp = require('jimp');

const router = express.Router();

const folderPath = path.join(__dirname, 'recaptchav2');
if (!fs.existsSync(folderPath)) {
  fs.mkdirSync(folderPath);
}

const modelPath = path.join(__dirname, 'models', 'recaptcha.onnx');
let model;

async function loadModel() {
  if (!model) {
    model = new onnx.InferenceSession();
    await model.loadModel(modelPath);
  }
  return model;
}

async function launchChrome() {
  const chromeLauncher = await import('chrome-launcher');
  return await chromeLauncher.launch({
    chromeFlags: [
      '--headless',
      '--disable-gpu',
      '--no-sandbox',
      '--disable-setuid-sandbox',
      '--disable-dev-shm-usage',
      '--disable-extensions',
      '--disable-component-extensions-with-background-pages',
      '--disable-default-apps',
      '--mute-audio',
      '--no-default-browser-check',
      '--no-pings',
      '--disable-sync',
      '--disable-background-networking',
      '--disable-background-timer-throttling',
      '--disable-backgrounding-occluded-windows',
      '--disable-breakpad',
      '--disable-client-side-phishing-detection',
      '--disable-features=TranslateUI,BlinkGenPropertyTrees',
      '--disable-ipc-flooding-protection',
      '--disable-prompt-on-repost',
      '--force-color-profile=srgb',
      '--metrics-recording-only',
      '--password-store=basic',
    ]
  });
}

async function takeScreenshotCarefully(element, path) {
  await element.evaluate(el => {
    return new Promise(resolve => {
      const observer = new MutationObserver(() => {
        observer.disconnect();
        setTimeout(resolve, 500);
      });
      observer.observe(el, { attributes: true, childList: true, subtree: true });
      setTimeout(resolve, 2000);
    });
  });
  await element.screenshot({ path });
}

async function analyzeImage(imagePath) {
  try {
    const model = await loadModel();
    const image = await jimp.read(imagePath);
    image.resize(224, 224); // Resize to match YOLO input size
    const imageData = new Float32Array(image.bitmap.data);
    
    // Normalize the image data (assuming 0-255 range to 0-1)
    for (let i = 0; i < imageData.length; i++) {
      imageData[i] = imageData[i] / 255.0;
    }

    const tensor = new onnx.Tensor(imageData, 'float32', [1, 3, 224, 224]);
    const output = await model.run([tensor]);
    return output[0].data;
  } catch (error) {
    console.error('Error analyzing image:', error);
    return { error: error.message };
  }
}

router.get('/captcha-screenshot', async (req, res) => {
  let chrome, browser, page;
  try {
    console.log('Processing captcha screenshot request');
    
    chrome = await launchChrome();
    
    const response = await connect({
      browserWSEndpoint: `ws://localhost:${chrome.port}`,
      ignoreHTTPSErrors: true,
      defaultViewport: null,
      turnstile: true
    });

    browser = response.browser;
    page = response.page;

    console.log('Navigating to https://2captcha.com/demo/recaptcha-v2');
    await page.goto('https://2captcha.com/demo/recaptcha-v2', { 
      waitUntil: 'networkidle0',
      timeout: 60000
    });

    await page.waitForSelector('iframe[src^="https://www.google.com/recaptcha/api2/anchor"]', { timeout: 60000 });
    const frame = page.frames().find(frame => frame.url().includes('https://www.google.com/recaptcha/api2/anchor'));
    
    if (frame) {
      await frame.click('div.recaptcha-checkbox-border');
    } else {
      throw new Error('reCAPTCHA frame not found');
    }

    await page.waitForSelector('iframe[src^="https://www.google.com/recaptcha/api2/bframe"]', { timeout: 60000 });
    const challengeFrame = page.frames().find(frame => frame.url().includes('https://www.google.com/recaptcha/api2/bframe'));

    if (challengeFrame) {
      await challengeFrame.waitForSelector('#rc-imageselect', { timeout: 60000 });
      
      console.log('Processing image selection challenge');
      
      const instructionElement = await challengeFrame.$('.rc-imageselect-desc-no-canonical strong');
      let instructionText = '';
      if (instructionElement) {
        instructionText = await challengeFrame.evaluate(el => el.textContent, instructionElement);
        console.log(`Instruction says, look for: ${instructionText}`);
      } else {
        console.log('Instruction element not found');
      }

      const is3x3 = await challengeFrame.$('.rc-imageselect-table-33');
      const is4x4 = await challengeFrame.$('.rc-imageselect-table-44');
      
      const gridType = is3x3 ? '3x3' : (is4x4 ? '4x4' : 'unknown');
      console.log(`Detected ${gridType} CAPTCHA grid`);

      const targetElement = await challengeFrame.$('#rc-imageselect-target');
      if (targetElement) {
        const targetPath = path.join(folderPath, 'target.png');
        await takeScreenshotCarefully(targetElement, targetPath);
        console.log(`Target screenshot saved as ${targetPath}`);
      }

      const tiles = await challengeFrame.$$('.rc-imageselect-tile');
      const predictions = [];

      for (let i = 0; i < tiles.length; i++) {
        const imagePath = path.join(folderPath, `image-${i + 1}.png`);
        await takeScreenshotCarefully(tiles[i], imagePath);
        console.log(`Image ${i + 1} saved as ${imagePath}`);

        const imagePredictions = await analyzeImage(imagePath);
        predictions.push({
          imageNumber: i + 1,
          predictions: imagePredictions
        });

        await new Promise(resolve => setTimeout(resolve, 1000));
      }

      res.json({ 
        success: true, 
        message: 'CAPTCHA images saved and analyzed', 
        instruction: instructionText,
        gridType: gridType,
        predictions: predictions
      });
    } else {
      throw new Error('Challenge frame not found');
    }
  } catch (error) {
    console.error('Error:', error);
    res.status(500).json({ success: false, error: 'An error occurred', details: error.message });
  } finally {
    if (browser) {
      await browser.close();
    }
    if (chrome) {
      await chrome.kill();
    }
  }
});

module.exports = router;
assistant: Here's a version of the script with the prediction and image analysis parts removed:

```javascript
const express = require('express');
const { connect } = require('puppeteer-real-browser');
const path = require('path');
const fs = require('fs');

const router = express.Router();

const folderPath = path.join(__dirname, 'recaptchav2');
if (!fs.existsSync(folderPath)) {
  fs.mkdirSync(folderPath);
}

async function launchChrome() {
  const chromeLauncher = await import('chrome-launcher');
  return await chromeLauncher.launch({
    chromeFlags: [
      '--headless',
      '--disable-gpu',
      '--no-sandbox',
      '--disable-setuid-sandbox',
      '--disable-dev-shm-usage',
      '--disable-extensions',
      '--disable-component-extensions-with-background-pages',
      '--disable-default-apps',
      '--mute-audio',
      '--no-default-browser-check',
      '--no-pings',
      '--disable-sync',
      '--disable-background-networking',
      '--disable-background-timer-throttling',
      '--disable-backgrounding-occluded-windows',
      '--disable-breakpad',
      '--disable-client-side-phishing-detection',
      '--disable-features=TranslateUI,BlinkGenPropertyTrees',
      '--disable-ipc-flooding-protection',
      '--disable-prompt-on-repost',
      '--force-color-profile=srgb',
      '--metrics-recording-only',
      '--password-store=basic',
    ]
  });
}

async function takeScreenshotCarefully(element, path) {
  await element.evaluate(el => {
    return new Promise(resolve => {
      const observer = new MutationObserver(() => {
        observer.disconnect();
        setTimeout(resolve, 500);
      });
      observer.observe(el, { attributes: true, childList: true, subtree: true });
      setTimeout(resolve, 2000);
    });
  });
  await element.screenshot({ path });
}

router.get('/captcha-screenshot', async (req, res) => {
  let chrome, browser, page;
  try {
    console.log('Processing captcha screenshot request');
    
    chrome = await launchChrome();
    
    const response = await connect({
      browserWSEndpoint: `ws://localhost:${chrome.port}`,
      ignoreHTTPSErrors: true,
      defaultViewport: null,
      turnstile: true
    });

    browser = response.browser;
    page = response.page;

    console.log('Navigating to https://2captcha.com/demo/recaptcha-v2');
    await page.goto('https://2captcha.com/demo/recaptcha-v2', { 
      waitUntil: 'networkidle0',
      timeout: 60000
    });

    await page.waitForSelector('iframe[src^="https://www.google.com/recaptcha/api2/anchor"]', { timeout: 60000 });
    const frame = page.frames().find(frame => frame.url().includes('https://www.google.com/recaptcha/api2/anchor'));
    
    if (frame) {
      await frame.click('div.recaptcha-checkbox-border');
    } else {
      throw new Error('reCAPTCHA frame not found');
    }

    await page.waitForSelector('iframe[src^="https://www.google.com/recaptcha/api2/bframe"]', { timeout: 60000 });
    const challengeFrame = page.frames().find(frame => frame.url().includes('https://www.google.com/recaptcha/api2/bframe'));

    if (challengeFrame) {
      await challengeFrame.waitForSelector('#rc-imageselect', { timeout: 60000 });
      
      console.log('Processing image selection challenge');
      
      const instructionElement = await challengeFrame.$('.rc-imageselect-desc-no-canonical strong');
      let instructionText = '';
      if (instructionElement) {
        instructionText = await challengeFrame.evaluate(el => el.textContent, instructionElement);
        console.log(`Instruction says, look for: ${instructionText}`);
      } else {
        console.log('Instruction element not found');
      }

      const is3x3 = await challengeFrame.$('.rc-imageselect-table-33');
      const is4x4 = await challengeFrame.$('.rc-imageselect-table-44');
      
      const gridType = is3x3 ? '3x3' : (is4x4 ? '4x4' : 'unknown');
      console.log(`Detected ${gridType} CAPTCHA grid`);

      const targetElement = await challengeFrame.$('#rc-imageselect-target');
      if (targetElement) {
        const targetPath = path.join(folderPath, 'target.png');
        await takeScreenshotCarefully(targetElement, targetPath);
        console.log(`Target screenshot saved as ${targetPath}`);
      }

      const tiles = await challengeFrame.$$('.rc-imageselect-tile');
      for (let i = 0; i < tiles.length; i++) {
        const imagePath = path.join(folderPath, `image-${i + 1}.png`);
        await takeScreenshotCarefully(tiles[i], imagePath);
        console.log(`Image ${i + 1} saved as ${imagePath}`);
      }

      res.json({ 
        success: true, 
        message: 'CAPTCHA images saved', 
        instruction: instructionText,
        gridType: gridType
      });
    } else {
      throw new Error('Challenge frame not found');
    }
  } catch (error) {
    console.error('Error:', error);
    res.status(500).json({ success: false, error: 'An error occurred', details: error.message });
  } finally {
    if (browser) {
      await browser.close();
    }
    if (chrome) {
      await chrome.kill();
    }
  }
});

module.exports = router;
```

In this version, I've removed the parts related to loading the model, analyzing images, and making predictions. The script now just captures screenshots of the CAPTCHA tiles and saves them without analyzing them.
user: 0|kairo  | Error: Error [ERR_INTERNAL_ASSERTION]: Code: ERR_MODULE_NOT_FOUND; The provided arguments length (2) does not match the required ones (3).
0|kairo  | This is caused by either a bug in Node.js or incorrect usage of Node.js internals.
0|kairo  | Please open an issue with this stack trace at https://github.com/nodejs/node/issues
0|kairo  |     at new NodeError (node:internal/errors:405:5)
0|kairo  |     at assert (node:internal/assert:14:11)
0|kairo  |     at getMessage (node:internal/errors:451:5)
0|kairo  |     at new NodeError (node:internal/errors:379:21)
0|kairo  |     at legacyMainResolve (node:internal/modules/esm/resolve:218:9)
0|kairo  |     at packageResolve (node:internal/modules/esm/resolve:903:14)
0|kairo  |     at moduleResolve (node:internal/modules/esm/resolve:973:20)
0|kairo  |     at defaultResolve (node:internal/modules/esm/resolve:1193:11)
0|kairo  |     at ModuleLoader.defaultResolve (node:internal/modules/esm/loader:403:12)
0|kairo  |     at ModuleLoader.resolve (node:internal/modules/esm/loader:372:25) {
0|kairo  |   code: 'ERR_INTERNAL_ASSERTION'
0|kairo  | }
PROMPT: user: from here remove the prediction and image analyzation: const express = require('express');
const { connect } = require('puppeteer-real-browser');
const path = require('path');
const fs = require('fs');
const onnx = require('onnxjs-node');
const jimp = require('jimp');

const router = express.Router();

const folderPath = path.join(__dirname, 'recaptchav2');
if (!fs.existsSync(folderPath)) {
  fs.mkdirSync(folderPath);
}

const modelPath = path.join(__dirname, 'models', 'recaptcha.onnx');
let model;

async function loadModel() {
  if (!model) {
    model = new onnx.InferenceSession();
    await model.loadModel(modelPath);
  }
  return model;
}

async function launchChrome() {
  const chromeLauncher = await import('chrome-launcher');
  return await chromeLauncher.launch({
    chromeFlags: [
      '--headless',
      '--disable-gpu',
      '--no-sandbox',
      '--disable-setuid-sandbox',
      '--disable-dev-shm-usage',
      '--disable-extensions',
      '--disable-component-extensions-with-background-pages',
      '--disable-default-apps',
      '--mute-audio',
      '--no-default-browser-check',
      '--no-pings',
      '--disable-sync',
      '--disable-background-networking',
      '--disable-background-timer-throttling',
      '--disable-backgrounding-occluded-windows',
      '--disable-breakpad',
      '--disable-client-side-phishing-detection',
      '--disable-features=TranslateUI,BlinkGenPropertyTrees',
      '--disable-ipc-flooding-protection',
      '--disable-prompt-on-repost',
      '--force-color-profile=srgb',
      '--metrics-recording-only',
      '--password-store=basic',
    ]
  });
}

async function takeScreenshotCarefully(element, path) {
  await element.evaluate(el => {
    return new Promise(resolve => {
      const observer = new MutationObserver(() => {
        observer.disconnect();
        setTimeout(resolve, 500);
      });
      observer.observe(el, { attributes: true, childList: true, subtree: true });
      setTimeout(resolve, 2000);
    });
  });
  await element.screenshot({ path });
}

async function analyzeImage(imagePath) {
  try {
    const model = await loadModel();
    const image = await jimp.read(imagePath);
    image.resize(224, 224); // Resize to match YOLO input size
    const imageData = new Float32Array(image.bitmap.data);
    
    // Normalize the image data (assuming 0-255 range to 0-1)
    for (let i = 0; i < imageData.length; i++) {
      imageData[i] = imageData[i] / 255.0;
    }

    const tensor = new onnx.Tensor(imageData, 'float32', [1, 3, 224, 224]);
    const output = await model.run([tensor]);
    return output[0].data;
  } catch (error) {
    console.error('Error analyzing image:', error);
    return { error: error.message };
  }
}

router.get('/captcha-screenshot', async (req, res) => {
  let chrome, browser, page;
  try {
    console.log('Processing captcha screenshot request');
    
    chrome = await launchChrome();
    
    const response = await connect({
      browserWSEndpoint: `ws://localhost:${chrome.port}`,
      ignoreHTTPSErrors: true,
      defaultViewport: null,
      turnstile: true
    });

    browser = response.browser;
    page = response.page;

    console.log('Navigating to https://2captcha.com/demo/recaptcha-v2');
    await page.goto('https://2captcha.com/demo/recaptcha-v2', { 
      waitUntil: 'networkidle0',
      timeout: 60000
    });

    await page.waitForSelector('iframe[src^="https://www.google.com/recaptcha/api2/anchor"]', { timeout: 60000 });
    const frame = page.frames().find(frame => frame.url().includes('https://www.google.com/recaptcha/api2/anchor'));
    
    if (frame) {
      await frame.click('div.recaptcha-checkbox-border');
    } else {
      throw new Error('reCAPTCHA frame not found');
    }

    await page.waitForSelector('iframe[src^="https://www.google.com/recaptcha/api2/bframe"]', { timeout: 60000 });
    const challengeFrame = page.frames().find(frame => frame.url().includes('https://www.google.com/recaptcha/api2/bframe'));

    if (challengeFrame) {
      await challengeFrame.waitForSelector('#rc-imageselect', { timeout: 60000 });
      
      console.log('Processing image selection challenge');
      
      const instructionElement = await challengeFrame.$('.rc-imageselect-desc-no-canonical strong');
      let instructionText = '';
      if (instructionElement) {
        instructionText = await challengeFrame.evaluate(el => el.textContent, instructionElement);
        console.log(`Instruction says, look for: ${instructionText}`);
      } else {
        console.log('Instruction element not found');
      }

      const is3x3 = await challengeFrame.$('.rc-imageselect-table-33');
      const is4x4 = await challengeFrame.$('.rc-imageselect-table-44');
      
      const gridType = is3x3 ? '3x3' : (is4x4 ? '4x4' : 'unknown');
      console.log(`Detected ${gridType} CAPTCHA grid`);

      const targetElement = await challengeFrame.$('#rc-imageselect-target');
      if (targetElement) {
        const targetPath = path.join(folderPath, 'target.png');
        await takeScreenshotCarefully(targetElement, targetPath);
        console.log(`Target screenshot saved as ${targetPath}`);
      }

      const tiles = await challengeFrame.$$('.rc-imageselect-tile');
      const predictions = [];

      for (let i = 0; i < tiles.length; i++) {
        const imagePath = path.join(folderPath, `image-${i + 1}.png`);
        await takeScreenshotCarefully(tiles[i], imagePath);
        console.log(`Image ${i + 1} saved as ${imagePath}`);

        const imagePredictions = await analyzeImage(imagePath);
        predictions.push({
          imageNumber: i + 1,
          predictions: imagePredictions
        });

        await new Promise(resolve => setTimeout(resolve, 1000));
      }

      res.json({ 
        success: true, 
        message: 'CAPTCHA images saved and analyzed', 
        instruction: instructionText,
        gridType: gridType,
        predictions: predictions
      });
    } else {
      throw new Error('Challenge frame not found');
    }
  } catch (error) {
    console.error('Error:', error);
    res.status(500).json({ success: false, error: 'An error occurred', details: error.message });
  } finally {
    if (browser) {
      await browser.close();
    }
    if (chrome) {
      await chrome.kill();
    }
  }
});

module.exports = router;
assistant: Here's a version of the script with the prediction and image analysis parts removed:

```javascript
const express = require('express');
const { connect } = require('puppeteer-real-browser');
const path = require('path');
const fs = require('fs');

const router = express.Router();

const folderPath = path.join(__dirname, 'recaptchav2');
if (!fs.existsSync(folderPath)) {
  fs.mkdirSync(folderPath);
}

async function launchChrome() {
  const chromeLauncher = await import('chrome-launcher');
  return await chromeLauncher.launch({
    chromeFlags: [
      '--headless',
      '--disable-gpu',
      '--no-sandbox',
      '--disable-setuid-sandbox',
      '--disable-dev-shm-usage',
      '--disable-extensions',
      '--disable-component-extensions-with-background-pages',
      '--disable-default-apps',
      '--mute-audio',
      '--no-default-browser-check',
      '--no-pings',
      '--disable-sync',
      '--disable-background-networking',
      '--disable-background-timer-throttling',
      '--disable-backgrounding-occluded-windows',
      '--disable-breakpad',
      '--disable-client-side-phishing-detection',
      '--disable-features=TranslateUI,BlinkGenPropertyTrees',
      '--disable-ipc-flooding-protection',
      '--disable-prompt-on-repost',
      '--force-color-profile=srgb',
      '--metrics-recording-only',
      '--password-store=basic',
    ]
  });
}

async function takeScreenshotCarefully(element, path) {
  await element.evaluate(el => {
    return new Promise(resolve => {
      const observer = new MutationObserver(() => {
        observer.disconnect();
        setTimeout(resolve, 500);
      });
      observer.observe(el, { attributes: true, childList: true, subtree: true });
      setTimeout(resolve, 2000);
    });
  });
  await element.screenshot({ path });
}

router.get('/captcha-screenshot', async (req, res) => {
  let chrome, browser, page;
  try {
    console.log('Processing captcha screenshot request');
    
    chrome = await launchChrome();
    
    const response = await connect({
      browserWSEndpoint: `ws://localhost:${chrome.port}`,
      ignoreHTTPSErrors: true,
      defaultViewport: null,
      turnstile: true
    });

    browser = response.browser;
    page = response.page;

    console.log('Navigating to https://2captcha.com/demo/recaptcha-v2');
    await page.goto('https://2captcha.com/demo/recaptcha-v2', { 
      waitUntil: 'networkidle0',
      timeout: 60000
    });

    await page.waitForSelector('iframe[src^="https://www.google.com/recaptcha/api2/anchor"]', { timeout: 60000 });
    const frame = page.frames().find(frame => frame.url().includes('https://www.google.com/recaptcha/api2/anchor'));
    
    if (frame) {
      await frame.click('div.recaptcha-checkbox-border');
    } else {
      throw new Error('reCAPTCHA frame not found');
    }

    await page.waitForSelector('iframe[src^="https://www.google.com/recaptcha/api2/bframe"]', { timeout: 60000 });
    const challengeFrame = page.frames().find(frame => frame.url().includes('https://www.google.com/recaptcha/api2/bframe'));

    if (challengeFrame) {
      await challengeFrame.waitForSelector('#rc-imageselect', { timeout: 60000 });
      
      console.log('Processing image selection challenge');
      
      const instructionElement = await challengeFrame.$('.rc-imageselect-desc-no-canonical strong');
      let instructionText = '';
      if (instructionElement) {
        instructionText = await challengeFrame.evaluate(el => el.textContent, instructionElement);
        console.log(`Instruction says, look for: ${instructionText}`);
      } else {
        console.log('Instruction element not found');
      }

      const is3x3 = await challengeFrame.$('.rc-imageselect-table-33');
      const is4x4 = await challengeFrame.$('.rc-imageselect-table-44');
      
      const gridType = is3x3 ? '3x3' : (is4x4 ? '4x4' : 'unknown');
      console.log(`Detected ${gridType} CAPTCHA grid`);

      const targetElement = await challengeFrame.$('#rc-imageselect-target');
      if (targetElement) {
        const targetPath = path.join(folderPath, 'target.png');
        await takeScreenshotCarefully(targetElement, targetPath);
        console.log(`Target screenshot saved as ${targetPath}`);
      }

      const tiles = await challengeFrame.$$('.rc-imageselect-tile');
      for (let i = 0; i < tiles.length; i++) {
        const imagePath = path.join(folderPath, `image-${i + 1}.png`);
        await takeScreenshotCarefully(tiles[i], imagePath);
        console.log(`Image ${i + 1} saved as ${imagePath}`);
      }

      res.json({ 
        success: true, 
        message: 'CAPTCHA images saved', 
        instruction: instructionText,
        gridType: gridType
      });
    } else {
      throw new Error('Challenge frame not found');
    }
  } catch (error) {
    console.error('Error:', error);
    res.status(500).json({ success: false, error: 'An error occurred', details: error.message });
  } finally {
    if (browser) {
      await browser.close();
    }
    if (chrome) {
      await chrome.kill();
    }
  }
});

module.exports = router;
```

In this version, I've removed the parts related to loading the model, analyzing images, and making predictions. The script now just captures screenshots of the CAPTCHA tiles and saves them without analyzing them.
user: 0|kairo  | Error: Error [ERR_INTERNAL_ASSERTION]: Code: ERR_MODULE_NOT_FOUND; The provided arguments length (2) does not match the required ones (3).
0|kairo  | This is caused by either a bug in Node.js or incorrect usage of Node.js internals.
0|kairo  | Please open an issue with this stack trace at https://github.com/nodejs/node/issues
0|kairo  |     at new NodeError (node:internal/errors:405:5)
0|kairo  |     at assert (node:internal/assert:14:11)
0|kairo  |     at getMessage (node:internal/errors:451:5)
0|kairo  |     at new NodeError (node:internal/errors:379:21)
0|kairo  |     at legacyMainResolve (node:internal/modules/esm/resolve:218:9)
0|kairo  |     at packageResolve (node:internal/modules/esm/resolve:903:14)
0|kairo  |     at moduleResolve (node:internal/modules/esm/resolve:973:20)
0|kairo  |     at defaultResolve (node:internal/modules/esm/resolve:1193:11)
0|kairo  |     at ModuleLoader.defaultResolve (node:internal/modules/esm/loader:403:12)
0|kairo  |     at ModuleLoader.resolve (node:internal/modules/esm/loader:372:25) {
0|kairo  |   code: 'ERR_INTERNAL_ASSERTION'
0|kairo  | }