#Lol

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errant wave
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Which model are you powered by?

mortal pivotBOT
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Hi @errant wave. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:

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I'm an AI assistant designed to answer questions about OpenAI and its products. My responses are generated based on OpenAI's latest and most capable models, such as GPT-4o, o3, o4-mini, and others, depending on the context and platform. However, the specific model powering this assistant isn't explicitly stated in the provided knowledge sources. If you have questions about any particular OpenAI model, feel free to ask!

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

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@errant wave Kapa.ai is still learning and improving, please let me know how I did by reacting below.

errant wave
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which model are you powered by right now @mortal pivot

mortal pivotBOT
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Let me check the knowledge base for you again. One moment! :books:

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I'm sorry, but the knowledge sources do not contain explicit information about which specific model is powering me right now. If you have questions about the available OpenAI models or their capabilities, I can help with that!

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

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@errant wave Kapa.ai is still learning and improving, please let me know how I did by reacting below.

errant wave
mortal pivotBOT
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Let me check the knowledge base for you again. One moment! :books:

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Certainly! Here is a Python script template for scraping a web page, based on the code provided in the knowledge sources. This example uses the requests and BeautifulSoup libraries to retrieve and parse the content of a web page. You can adapt this script to scrape "https://example.com":

import requests
from bs4 import BeautifulSoup

def retrieve_content(url, max_tokens=50000):
    try:
        headers = {'User-Agent': 'Mozilla/5.0'}
        response = requests.get(url, headers=headers, timeout=10)
        response.raise_for_status()

        soup = BeautifulSoup(response.content, 'html.parser')
        for script_or_style in soup(['script', 'style']):
            script_or_style.decompose()

        text = soup.get_text(separator=' ', strip=True)
        characters = max_tokens * 4  # Approximate conversion
        text = text[:characters]
        return text
    except requests.exceptions.RequestException as e:
        print(f"Failed to retrieve {url}: {e}")
        return None

# Example usage:
url = "<https://example.com">
content = retrieve_content(url)
print(content)

This script will fetch the content of "https://example.com", remove scripts and styles, and print the main text content. Make sure you have the requests and beautifulsoup4 packages installed in your environment.

This approach is directly adapted from the OpenAI Cookbook BYOB tool example.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

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@errant wave Kapa.ai is still learning and improving, please let me know how I did by reacting below.

errant wave
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you have code in your knowledge base? @mortal pivot

mortal pivotBOT
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Let me check the knowledge base for you again. One moment! :books:

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Yes, there is code in my knowledge base. The knowledge sources include various code examples, such as Python scripts for web scraping, using OpenAI APIs, working with vector databases, and more. For instance, you can find code snippets for retrieving and parsing web content, interacting with OpenAI models, and building retrieval-augmented generation (RAG) systems using Python and other languages. These examples are provided to help developers implement and integrate OpenAI technologies into their applications, as seen in resources like the OpenAI Cookbook and official documentation Building a BYOB Tool for Web Browsing and Summarization.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: