code: import os
  import json
  import logging
  import sys
  import requests
  from dotenv import load_dotenv
  from requests.adapters import HTTPAdapter
  from urllib3.util.retry import Retry
  from llama_index.core import VectorStoreIndex, Document
  from llama_index.tools.brave_search import BraveSearchToolSpec
  from llama_index.readers.web import SimpleWebPageReader
  
  # Constants
  USER_AGENT = 'Mozilla/5.0 (compatible; YourBot/1.0; +http://yourwebsite.com/bot.html)'
  HEADERS = {'User-Agent': USER_AGENT}
  RETRIES = Retry(total=5, backoff_factor=0.1, status_forcelist=[500, 502, 503, 504])
  
  def setup_logging():
      """
      Initialize logging configuration to output logs to stdout.
      """
      logging.basicConfig(stream=sys.stdout, level=logging.INFO)
      logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))
  
  def load_environment_variables():
      """
      Load environment variables from the .env file.
      :return: The Brave API key.
      """
      load_dotenv()
      return os.getenv('BRAVE_API_KEY')
  
  def perform_search(query, api_key):
      """
      Perform a search using the Brave Search API.
      :param query: The search query.
      :param api_key: The Brave API key.
      :return: The search response.
      """
      tool_spec = BraveSearchToolSpec(api_key=api_key)
      return tool_spec.brave_search(query=query)
  
  def extract_search_results(response):
      """
      Extract search results from the Brave Search API response.
      :param response: The search response.
      :return: A list of search results.
      """
      documents = [doc.text for doc in response]
      search_results = []
      for document in documents:
          response_data = json.loads(document)
          search_results.extend(response_data.get('web', {}).get('results', []))
      return search_results
  
  def scrape_web_pages(search_results):
      """
      Scrape web pages from the URLs obtained from the search results.
      :param search_results: The list of search results.
      :return: A list of scraped documents.
      """
      session = requests.Session()
      session.mount('http://', HTTPAdapter(max_retries=RETRIES))
      session.mount('https://', HTTPAdapter(max_retries=RETRIES))
      all_documents = []
  
      for result in search_results:
          url = result.get('url')
          try:
              response = session.get(url, headers=HEADERS, timeout=10)
              response.raise_for_status()
              doc = Document(text=response.text, url=url)
              all_documents.append(doc)
          except requests.exceptions.RequestException as e:
              logging.error(f"Failed to scrape {url}: {e}")
  
      return all_documents
  
  def main():
      """
      Main function to orchestrate the search, scraping, and querying process.
      """
      setup_logging()
      api_key = load_environment_variables()
      my_query = "What is the latest news about llamaindex?"
      response = perform_search(my_query, api_key)
      search_results = extract_search_results(response)
      all_documents = scrape_web_pages(search_results)
      
      # Load all the scraped documents into the vector store
      index = VectorStoreIndex.from_documents(all_documents)
      
      # Use the index to query with the language model
      query_engine = index.as_query_engine()
      response = query_engine.query(my_query)
      print(response)
  
  if __name__ == "__main__":
      main()
apis: llama_index.core.Document llama_index.core.VectorStoreIndex.from_documents llama_index.tools.brave_search.BraveSearchToolSpec
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