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import asyncio
import json
import enum
import logging
from typing import Dict, Generic, Optional, Type, TypeVar
from langchain_core.language_models.chat_models import BaseChatModel
from langchain_core.prompts import PromptTemplate
# from lmnr.sdk.laminar import Laminar
from pydantic import BaseModel
from browser_use.agent.views import ActionModel, ActionResult
from browser_use.browser.context import BrowserContext
from browser_use.controller.registry.service import Registry
from browser_use.controller.views import (
ClickElementAction,
DoneAction,
GoToUrlAction,
InputTextAction,
NoParamsAction,
OpenTabAction,
ScrollAction,
SearchGoogleAction,
SendKeysAction,
SwitchTabAction,
)
from browser_use.utils import time_execution_sync
logger = logging.getLogger(__name__)
Context = TypeVar('Context')
class Controller(Generic[Context]):
def __init__(
self,
exclude_actions: list[str] = [],
output_model: Optional[Type[BaseModel]] = None,
):
self.registry = Registry[Context](exclude_actions)
"""Register all default browser actions"""
if output_model is not None:
# Create a new model that extends the output model with success parameter
class ExtendedOutputModel(BaseModel): # type: ignore
success: bool = True
data: output_model
@self.registry.action(
'Complete task - with return text and if the task is finished (success=True) or not yet completly finished (success=False), because last step is reached',
param_model=ExtendedOutputModel,
)
async def done(params: ExtendedOutputModel):
# Exclude success from the output JSON since it's an internal parameter
output_dict = params.data.model_dump()
# Enums are not serializable, convert to string
for key, value in output_dict.items():
if isinstance(value, enum.Enum):
output_dict[key] = value.value
return ActionResult(is_done=True, success=params.success, extracted_content=json.dumps(output_dict))
else:
@self.registry.action(
'Complete task - with return text and if the task is finished (success=True) or not yet completly finished (success=False), because last step is reached',
param_model=DoneAction,
)
async def done(params: DoneAction):
return ActionResult(is_done=True, success=params.success, extracted_content=params.text)
# Basic Navigation Actions
@self.registry.action(
'Search the query in Google in the current tab, the query should be a search query like humans search in Google, concrete and not vague or super long. More the single most important items. ',
param_model=SearchGoogleAction,
)
async def search_google(params: SearchGoogleAction, browser: BrowserContext):
page = await browser.get_current_page()
await page.goto(f'https://www.google.com/search?q={params.query}&udm=14')
await page.wait_for_load_state()
msg = f'π Searched for "{params.query}" in Google'
logger.info(msg)
return ActionResult(extracted_content=msg, include_in_memory=True)
@self.registry.action('Navigate to URL in the current tab', param_model=GoToUrlAction)
async def go_to_url(params: GoToUrlAction, browser: BrowserContext):
page = await browser.get_current_page()
await page.goto(params.url)
await page.wait_for_load_state()
msg = f'π Navigated to {params.url}'
logger.info(msg)
return ActionResult(extracted_content=msg, include_in_memory=True)
@self.registry.action('Go back', param_model=NoParamsAction)
async def go_back(_: NoParamsAction, browser: BrowserContext):
await browser.go_back()
msg = 'π Navigated back'
logger.info(msg)
return ActionResult(extracted_content=msg, include_in_memory=True)
# wait for x seconds
@self.registry.action('Wait for x seconds default 3')
async def wait(seconds: int = 3):
msg = f'π Waiting for {seconds} seconds'
logger.info(msg)
await asyncio.sleep(seconds)
return ActionResult(extracted_content=msg, include_in_memory=True)
# Element Interaction Actions
@self.registry.action('Click element', param_model=ClickElementAction)
async def click_element(params: ClickElementAction, browser: BrowserContext):
session = await browser.get_session()
if params.index not in await browser.get_selector_map():
raise Exception(f'Element with index {params.index} does not exist - retry or use alternative actions')
element_node = await browser.get_dom_element_by_index(params.index)
initial_pages = len(session.context.pages)
# if element has file uploader then dont click
if await browser.is_file_uploader(element_node):
msg = f'Index {params.index} - has an element which opens file upload dialog. To upload files please use a specific function to upload files '
logger.info(msg)
return ActionResult(extracted_content=msg, include_in_memory=True)
msg = None
try:
download_path = await browser._click_element_node(element_node)
if download_path:
msg = f'πΎ Downloaded file to {download_path}'
else:
msg = f'π±οΈ Clicked button with index {params.index}: {element_node.get_all_text_till_next_clickable_element(max_depth=2)}'
logger.info(msg)
logger.debug(f'Element xpath: {element_node.xpath}')
if len(session.context.pages) > initial_pages:
new_tab_msg = 'New tab opened - switching to it'
msg += f' - {new_tab_msg}'
logger.info(new_tab_msg)
await browser.switch_to_tab(-1)
return ActionResult(extracted_content=msg, include_in_memory=True)
except Exception as e:
logger.warning(f'Element not clickable with index {params.index} - most likely the page changed')
return ActionResult(error=str(e))
@self.registry.action(
'Input text into a input interactive element',
param_model=InputTextAction,
)
async def input_text(params: InputTextAction, browser: BrowserContext, has_sensitive_data: bool = False):
if params.index not in await browser.get_selector_map():
raise Exception(f'Element index {params.index} does not exist - retry or use alternative actions')
element_node = await browser.get_dom_element_by_index(params.index)
await browser._input_text_element_node(element_node, params.text)
if not has_sensitive_data:
msg = f'β¨οΈ Input {params.text} into index {params.index}'
else:
msg = f'β¨οΈ Input sensitive data into index {params.index}'
logger.info(msg)
logger.debug(f'Element xpath: {element_node.xpath}')
return ActionResult(extracted_content=msg, include_in_memory=True)
# Tab Management Actions
@self.registry.action('Switch tab', param_model=SwitchTabAction)
async def switch_tab(params: SwitchTabAction, browser: BrowserContext):
await browser.switch_to_tab(params.page_id)
# Wait for tab to be ready
page = await browser.get_current_page()
await page.wait_for_load_state()
msg = f'π Switched to tab {params.page_id}'
logger.info(msg)
return ActionResult(extracted_content=msg, include_in_memory=True)
@self.registry.action('Open url in new tab', param_model=OpenTabAction)
async def open_tab(params: OpenTabAction, browser: BrowserContext):
await browser.create_new_tab(params.url)
msg = f'π Opened new tab with {params.url}'
logger.info(msg)
return ActionResult(extracted_content=msg, include_in_memory=True)
# Content Actions
@self.registry.action(
'Extract page content to retrieve specific information from the page, e.g. all company names, a specifc description, all information about, links with companies in structured format or simply links',
)
async def extract_content(goal: str, browser: BrowserContext, page_extraction_llm: BaseChatModel):
page = await browser.get_current_page()
import markdownify
content = markdownify.markdownify(await page.content())
prompt = 'Your task is to extract the content of the page. You will be given a page and a goal and you should extract all relevant information around this goal from the page. If the goal is vague, summarize the page. Respond in json format. Extraction goal: {goal}, Page: {page}'
template = PromptTemplate(input_variables=['goal', 'page'], template=prompt)
try:
output = page_extraction_llm.invoke(template.format(goal=goal, page=content))
msg = f'π Extracted from page\n: {output.content}\n'
logger.info(msg)
return ActionResult(extracted_content=msg, include_in_memory=True)
except Exception as e:
logger.debug(f'Error extracting content: {e}')
msg = f'π Extracted from page\n: {content}\n'
logger.info(msg)
return ActionResult(extracted_content=msg)
@self.registry.action(
'Scroll down the page by pixel amount - if no amount is specified, scroll down one page',
param_model=ScrollAction,
)
async def scroll_down(params: ScrollAction, browser: BrowserContext):
page = await browser.get_current_page()
if params.amount is not None:
await page.evaluate(f'window.scrollBy(0, {params.amount});')
else:
await page.evaluate('window.scrollBy(0, window.innerHeight);')
amount = f'{params.amount} pixels' if params.amount is not None else 'one page'
msg = f'π Scrolled down the page by {amount}'
logger.info(msg)
return ActionResult(
extracted_content=msg,
include_in_memory=True,
)
# scroll up
@self.registry.action(
'Scroll up the page by pixel amount - if no amount is specified, scroll up one page',
param_model=ScrollAction,
)
async def scroll_up(params: ScrollAction, browser: BrowserContext):
page = await browser.get_current_page()
if params.amount is not None:
await page.evaluate(f'window.scrollBy(0, -{params.amount});')
else:
await page.evaluate('window.scrollBy(0, -window.innerHeight);')
amount = f'{params.amount} pixels' if params.amount is not None else 'one page'
msg = f'π Scrolled up the page by {amount}'
logger.info(msg)
return ActionResult(
extracted_content=msg,
include_in_memory=True,
)
# send keys
@self.registry.action(
'Send strings of special keys like Escape,Backspace, Insert, PageDown, Delete, Enter, Shortcuts such as `Control+o`, `Control+Shift+T` are supported as well. This gets used in keyboard.press. ',
param_model=SendKeysAction,
)
async def send_keys(params: SendKeysAction, browser: BrowserContext):
page = await browser.get_current_page()
try:
await page.keyboard.press(params.keys)
except Exception as e:
if 'Unknown key' in str(e):
# loop over the keys and try to send each one
for key in params.keys:
try:
await page.keyboard.press(key)
except Exception as e:
logger.debug(f'Error sending key {key}: {str(e)}')
raise e
else:
raise e
msg = f'β¨οΈ Sent keys: {params.keys}'
logger.info(msg)
return ActionResult(extracted_content=msg, include_in_memory=True)
@self.registry.action(
description='If you dont find something which you want to interact with, scroll to it',
)
async def scroll_to_text(text: str, browser: BrowserContext): # type: ignore
page = await browser.get_current_page()
try:
# Try different locator strategies
locators = [
page.get_by_text(text, exact=False),
page.locator(f'text={text}'),
page.locator(f"//*[contains(text(), '{text}')]"),
]
for locator in locators:
try:
# First check if element exists and is visible
if await locator.count() > 0 and await locator.first.is_visible():
await locator.first.scroll_into_view_if_needed()
await asyncio.sleep(0.5) # Wait for scroll to complete
msg = f'π Scrolled to text: {text}'
logger.info(msg)
return ActionResult(extracted_content=msg, include_in_memory=True)
except Exception as e:
logger.debug(f'Locator attempt failed: {str(e)}')
continue
msg = f"Text '{text}' not found or not visible on page"
logger.info(msg)
return ActionResult(extracted_content=msg, include_in_memory=True)
except Exception as e:
msg = f"Failed to scroll to text '{text}': {str(e)}"
logger.error(msg)
return ActionResult(error=msg, include_in_memory=True)
@self.registry.action(
description='Get all options from a native dropdown',
)
async def get_dropdown_options(index: int, browser: BrowserContext) -> ActionResult:
"""Get all options from a native dropdown"""
page = await browser.get_current_page()
selector_map = await browser.get_selector_map()
dom_element = selector_map[index]
try:
# Frame-aware approach since we know it works
all_options = []
frame_index = 0
for frame in page.frames:
try:
options = await frame.evaluate(
"""
(xpath) => {
const select = document.evaluate(xpath, document, null,
XPathResult.FIRST_ORDERED_NODE_TYPE, null).singleNodeValue;
if (!select) return null;
return {
options: Array.from(select.options).map(opt => ({
text: opt.text, //do not trim, because we are doing exact match in select_dropdown_option
value: opt.value,
index: opt.index
})),
id: select.id,
name: select.name
};
}
""",
dom_element.xpath,
)
if options:
logger.debug(f'Found dropdown in frame {frame_index}')
logger.debug(f'Dropdown ID: {options["id"]}, Name: {options["name"]}')
formatted_options = []
for opt in options['options']:
# encoding ensures AI uses the exact string in select_dropdown_option
encoded_text = json.dumps(opt['text'])
formatted_options.append(f'{opt["index"]}: text={encoded_text}')
all_options.extend(formatted_options)
except Exception as frame_e:
logger.debug(f'Frame {frame_index} evaluation failed: {str(frame_e)}')
frame_index += 1
if all_options:
msg = '\n'.join(all_options)
msg += '\nUse the exact text string in select_dropdown_option'
logger.info(msg)
return ActionResult(extracted_content=msg, include_in_memory=True)
else:
msg = 'No options found in any frame for dropdown'
logger.info(msg)
return ActionResult(extracted_content=msg, include_in_memory=True)
except Exception as e:
logger.error(f'Failed to get dropdown options: {str(e)}')
msg = f'Error getting options: {str(e)}'
logger.info(msg)
return ActionResult(extracted_content=msg, include_in_memory=True)
@self.registry.action(
description='Select dropdown option for interactive element index by the text of the option you want to select',
)
async def select_dropdown_option(
index: int,
text: str,
browser: BrowserContext,
) -> ActionResult:
"""Select dropdown option by the text of the option you want to select"""
page = await browser.get_current_page()
selector_map = await browser.get_selector_map()
dom_element = selector_map[index]
# Validate that we're working with a select element
if dom_element.tag_name != 'select':
logger.error(f'Element is not a select! Tag: {dom_element.tag_name}, Attributes: {dom_element.attributes}')
msg = f'Cannot select option: Element with index {index} is a {dom_element.tag_name}, not a select'
return ActionResult(extracted_content=msg, include_in_memory=True)
logger.debug(f"Attempting to select '{text}' using xpath: {dom_element.xpath}")
logger.debug(f'Element attributes: {dom_element.attributes}')
logger.debug(f'Element tag: {dom_element.tag_name}')
xpath = '//' + dom_element.xpath
try:
frame_index = 0
for frame in page.frames:
try:
logger.debug(f'Trying frame {frame_index} URL: {frame.url}')
# First verify we can find the dropdown in this frame
find_dropdown_js = """
(xpath) => {
try {
const select = document.evaluate(xpath, document, null,
XPathResult.FIRST_ORDERED_NODE_TYPE, null).singleNodeValue;
if (!select) return null;
if (select.tagName.toLowerCase() !== 'select') {
return {
error: `Found element but it's a ${select.tagName}, not a SELECT`,
found: false
};
}
return {
id: select.id,
name: select.name,
found: true,
tagName: select.tagName,
optionCount: select.options.length,
currentValue: select.value,
availableOptions: Array.from(select.options).map(o => o.text.trim())
};
} catch (e) {
return {error: e.toString(), found: false};
}
}
"""
dropdown_info = await frame.evaluate(find_dropdown_js, dom_element.xpath)
if dropdown_info:
if not dropdown_info.get('found'):
logger.error(f'Frame {frame_index} error: {dropdown_info.get("error")}')
continue
logger.debug(f'Found dropdown in frame {frame_index}: {dropdown_info}')
# "label" because we are selecting by text
# nth(0) to disable error thrown by strict mode
# timeout=1000 because we are already waiting for all network events, therefore ideally we don't need to wait a lot here (default 30s)
selected_option_values = (
await frame.locator('//' + dom_element.xpath).nth(0).select_option(label=text, timeout=1000)
)
msg = f'selected option {text} with value {selected_option_values}'
logger.info(msg + f' in frame {frame_index}')
return ActionResult(extracted_content=msg, include_in_memory=True)
except Exception as frame_e:
logger.error(f'Frame {frame_index} attempt failed: {str(frame_e)}')
logger.error(f'Frame type: {type(frame)}')
logger.error(f'Frame URL: {frame.url}')
frame_index += 1
msg = f"Could not select option '{text}' in any frame"
logger.info(msg)
return ActionResult(extracted_content=msg, include_in_memory=True)
except Exception as e:
msg = f'Selection failed: {str(e)}'
logger.error(msg)
return ActionResult(error=msg, include_in_memory=True)
# Register ---------------------------------------------------------------
def action(self, description: str, **kwargs):
"""Decorator for registering custom actions
@param description: Describe the LLM what the function does (better description == better function calling)
"""
return self.registry.action(description, **kwargs)
# Act --------------------------------------------------------------------
@time_execution_sync('--act')
async def act(
self,
action: ActionModel,
browser_context: BrowserContext,
#
page_extraction_llm: Optional[BaseChatModel] = None,
sensitive_data: Optional[Dict[str, str]] = None,
available_file_paths: Optional[list[str]] = None,
#
context: Context | None = None,
) -> ActionResult:
"""Execute an action"""
try:
for action_name, params in action.model_dump(exclude_unset=True).items():
if params is not None:
# with Laminar.start_as_current_span(
# name=action_name,
# input={
# 'action': action_name,
# 'params': params,
# },
# span_type='TOOL',
# ):
result = await self.registry.execute_action(
action_name,
params,
browser=browser_context,
page_extraction_llm=page_extraction_llm,
sensitive_data=sensitive_data,
available_file_paths=available_file_paths,
context=context,
)
# Laminar.set_span_output(result)
if isinstance(result, str):
return ActionResult(extracted_content=result)
elif isinstance(result, ActionResult):
return result
elif result is None:
return ActionResult()
else:
raise ValueError(f'Invalid action result type: {type(result)} of {result}')
return ActionResult()
except Exception as e:
raise e
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