Skip to content

Instantly share code, notes, and snippets.

View Cdaprod's full-sized avatar
🫠
Learn something new everyday!

David Cdaprod

🫠
Learn something new everyday!
View GitHub Profile
System: Respond to the human as helpfully and accurately as possible. You have access to the following tools:
click_element: Click on an element with the given CSS selector, args: {{'selector': {{'title': 'Selector', 'description': 'CSS selector for the element to click', 'type': 'string'}}}}
navigate_browser: Navigate a browser to the specified URL, args: {{'url': {{'title': 'Url', 'description': 'url to navigate to', 'type': 'string'}}}}
previous_webpage: Navigate back to the previous page in the browser history, args: {{}}
extract_text: Extract all the text on the current webpage, args: {{}}
extract_hyperlinks: Extract all hyperlinks on the current webpage, args: {{'absolute_urls': {{'title': 'Absolute Urls', 'description': 'Return absolute URLs instead of relative URLs', 'default': False, 'type': 'boolean'}}}}
get_elements: Retrieve elements in the current web page matching the given CSS selector, args: {{'selector': {{'title': 'Selector', 'description': "CSS selector, such as '*', 'div', 'p', 'a', #id,
# STEP 1: Load
# Load documents using LangChain's DocumentLoaders
# This is from https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/csv.html
from langchain.document_loaders.csv_loader import CSVLoader
loader = CSVLoader(file_path='./example_data/mlb_teams_2012.csv')
data = loader.load()
@hwchase17
hwchase17 / langchain_chat_gpt.py
Last active December 5, 2023 16:10
LangChain ChatGPT API Wrapper
from langchain.llms.base import LLM
from typing import Optional, List, Mapping, Any
import requests
from langchain.llms.utils import enforce_stop_tokens
class CustomLLM(LLM):
def __init__(self, url: str):
self.url = url
@sundowndev
sundowndev / GoogleDorking.md
Last active August 10, 2025 17:38
Google dork cheatsheet

Google dork cheatsheet

Search filters

Filter Description Example
allintext Searches for occurrences of all the keywords given. allintext:"keyword"
intext Searches for the occurrences of keywords all at once or one at a time. intext:"keyword"
inurl Searches for a URL matching one of the keywords. inurl:"keyword"
allinurl Searches for a URL matching all the keywords in the query. allinurl:"keyword"
intitle Searches for occurrences of keywords in title all or one. intitle:"keyword"