Files
browser-use/browser_use/controller/service.py
2025-08-21 17:31:02 -07:00

1128 lines
45 KiB
Python

import asyncio
import enum
import json
import logging
import os
from typing import Generic, TypeVar
try:
from lmnr import Laminar # type: ignore
except ImportError:
Laminar = None # type: ignore
from pydantic import BaseModel
from browser_use.agent.views import ActionModel, ActionResult
from browser_use.browser import BrowserSession
from browser_use.browser.events import (
ClickElementEvent,
CloseTabEvent,
GetDropdownOptionsEvent,
GoBackEvent,
NavigateToUrlEvent,
ScrollEvent,
ScrollToTextEvent,
SendKeysEvent,
SwitchTabEvent,
TypeTextEvent,
UploadFileEvent,
)
from browser_use.browser.views import BrowserError
from browser_use.controller.registry.service import Registry
from browser_use.controller.views import (
ClickElementAction,
CloseTabAction,
DoneAction,
GetDropdownOptionsAction,
GoToUrlAction,
InputTextAction,
NoParamsAction,
ScrollAction,
SearchGoogleAction,
SelectDropdownOptionAction,
SendKeysAction,
StructuredOutputAction,
SwitchTabAction,
UploadFileAction,
)
from browser_use.dom.service import EnhancedDOMTreeNode
from browser_use.filesystem.file_system import FileSystem
from browser_use.llm.base import BaseChatModel
from browser_use.llm.messages import UserMessage
from browser_use.observability import observe_debug
from browser_use.utils import _log_pretty_url, time_execution_sync
logger = logging.getLogger(__name__)
# Import EnhancedDOMTreeNode and rebuild event models that have forward references to it
# This must be done after all imports are complete
ClickElementEvent.model_rebuild()
TypeTextEvent.model_rebuild()
ScrollEvent.model_rebuild()
UploadFileEvent.model_rebuild()
Context = TypeVar('Context')
T = TypeVar('T', bound=BaseModel)
def extract_llm_error_message(error: Exception) -> str:
"""
Extract the clean error message from an exception that may contain <llm_error_msg> tags.
If the tags are found, returns the content between them.
Otherwise, returns the original error string.
"""
import re
error_str = str(error)
# Look for content between <llm_error_msg> tags
pattern = r'<llm_error_msg>(.*?)</llm_error_msg>'
match = re.search(pattern, error_str, re.DOTALL)
if match:
return match.group(1).strip()
# Fallback: return the original error string
return error_str
class Controller(Generic[Context]):
def __init__(
self,
exclude_actions: list[str] = [],
output_model: type[T] | None = None,
display_files_in_done_text: bool = True,
):
self.registry = Registry[Context](exclude_actions)
self.display_files_in_done_text = display_files_in_done_text
"""Register all default browser actions"""
self._register_done_action(output_model)
# Basic Navigation Actions
@self.registry.action(
'Search the query in Google, the query should be a search query like humans search in Google, concrete and not vague or super long.',
param_model=SearchGoogleAction,
)
async def search_google(params: SearchGoogleAction, browser_session: BrowserSession):
search_url = f'https://www.google.com/search?q={params.query}&udm=14'
# Check if there's already a tab open on Google or agent's about:blank
use_new_tab = True
try:
tabs = await browser_session.get_tabs()
# Get last 4 chars of browser session ID to identify agent's tabs
browser_session_label = str(browser_session.id)[-4:]
logger.debug(f'Checking {len(tabs)} tabs for reusable tab (browser_session_label: {browser_session_label})')
for i, tab in enumerate(tabs):
logger.debug(f'Tab {i}: url="{tab.url}", title="{tab.title}"')
# Check if tab is on Google domain
if tab.url and tab.url.strip('/').lower() in ('https://www.google.com', 'https://google.com'):
# Found existing Google tab, navigate in it
logger.debug(f'Found existing Google tab at index {i}: {tab.url}, reusing it')
# Switch to this tab first if it's not the current one
from browser_use.browser.events import SwitchTabEvent
if browser_session.agent_focus and tab.target_id != browser_session.agent_focus.target_id:
try:
switch_event = browser_session.event_bus.dispatch(SwitchTabEvent(target_id=tab.target_id))
await switch_event
await switch_event.event_result(raise_if_none=False)
except Exception as e:
logger.warning(f'Failed to switch to existing Google tab: {e}, will use new tab')
continue
use_new_tab = False
break
# Check if it's an agent-owned about:blank page (has "Starting agent XXXX..." title)
# IMPORTANT: about:blank is also used briefly for new tabs the agent is trying to open, dont take over those!
elif tab.url == 'about:blank' and tab.title:
# Check if this is our agent's about:blank page with DVD animation
# The title should be "Starting agent XXXX..." where XXXX is the browser_session_label
if browser_session_label in tab.title:
# This is our agent's about:blank page
logger.debug(f'Found agent-owned about:blank tab at index {i} with title: "{tab.title}", reusing it')
# Switch to this tab first
from browser_use.browser.events import SwitchTabEvent
if browser_session.agent_focus and tab.target_id != browser_session.agent_focus.target_id:
try:
switch_event = browser_session.event_bus.dispatch(SwitchTabEvent(target_id=tab.target_id))
await switch_event
await switch_event.event_result()
except Exception as e:
logger.warning(f'Failed to switch to agent-owned tab: {e}, will use new tab')
continue
use_new_tab = False
break
except Exception as e:
logger.debug(f'Could not check for existing tabs: {e}, using new tab')
# Dispatch navigation event
try:
event = browser_session.event_bus.dispatch(
NavigateToUrlEvent(
url=search_url,
new_tab=use_new_tab,
)
)
await event
await event.event_result(raise_if_any=True, raise_if_none=False)
memory = f"Searched Google for '{params.query}'"
msg = f'🔍 {memory}'
logger.info(msg)
return ActionResult(extracted_content=memory, include_in_memory=True, long_term_memory=memory)
except Exception as e:
logger.error(f'Failed to search Google: {e}')
clean_msg = extract_llm_error_message(e)
return ActionResult(error=f'Failed to search Google for "{params.query}": {clean_msg}')
@self.registry.action(
'Navigate to URL, set new_tab=True to open in new tab, False to navigate in current tab', param_model=GoToUrlAction
)
async def go_to_url(params: GoToUrlAction, browser_session: BrowserSession):
try:
# Dispatch navigation event
event = browser_session.event_bus.dispatch(NavigateToUrlEvent(url=params.url, new_tab=params.new_tab))
await event
await event.event_result(raise_if_any=True, raise_if_none=False)
if params.new_tab:
memory = f'Opened new tab with URL {params.url}'
msg = f'🔗 Opened new tab with url {params.url}'
else:
memory = f'Navigated to {params.url}'
msg = f'🔗 {memory}'
logger.info(msg)
return ActionResult(extracted_content=msg, include_in_memory=True, long_term_memory=memory)
except Exception as e:
error_msg = str(e)
# Always log the actual error first for debugging
browser_session.logger.error(f'❌ Navigation failed: {error_msg}')
clean_msg = extract_llm_error_message(e)
# Check if it's specifically a RuntimeError about CDP client
if isinstance(e, RuntimeError) and 'CDP client not initialized' in error_msg:
browser_session.logger.error('❌ Browser connection failed - CDP client not properly initialized')
return ActionResult(error=f'Browser connection error: {error_msg}')
# Check for network-related errors
elif any(
err in error_msg
for err in [
'ERR_NAME_NOT_RESOLVED',
'ERR_INTERNET_DISCONNECTED',
'ERR_CONNECTION_REFUSED',
'ERR_TIMED_OUT',
'net::',
]
):
site_unavailable_msg = f'Site unavailable: {params.url} - {error_msg}'
browser_session.logger.warning(f'⚠️ {site_unavailable_msg}')
return ActionResult(error=site_unavailable_msg)
else:
# Return error in ActionResult instead of re-raising
return ActionResult(error=f'Navigation failed: {clean_msg}')
@self.registry.action('Go back', param_model=NoParamsAction)
async def go_back(_: NoParamsAction, browser_session: BrowserSession):
try:
event = browser_session.event_bus.dispatch(GoBackEvent())
await event
memory = 'Navigated back'
msg = f'🔙 {memory}'
logger.info(msg)
return ActionResult(extracted_content=memory)
except Exception as e:
logger.error(f'Failed to dispatch GoBackEvent: {type(e).__name__}: {e}')
clean_msg = extract_llm_error_message(e)
error_msg = f'Failed to go back: {clean_msg}'
return ActionResult(error=error_msg)
@self.registry.action(
'Wait for x seconds default 3 (max 10 seconds). This can be used to wait until the page is fully loaded.'
)
async def wait(seconds: int = 3):
# Cap wait time at maximum 10 seconds
# Reduce the wait time by 3 seconds to account for the llm call which takes at least 3 seconds
# So if the model decides to wait for 5 seconds, the llm call took at least 3 seconds, so we only need to wait for 2 seconds
# Note by Mert: the above doesnt make sense because we do the LLM call right after this or this could be followed by another action after which we would like to wait
# so I revert this.
actual_seconds = min(max(seconds, 0), 10)
memory = f'Waited for {actual_seconds} seconds'
logger.info(f'🕒 {memory}')
await asyncio.sleep(actual_seconds)
return ActionResult(extracted_content=memory, long_term_memory=memory)
# Element Interaction Actions
@self.registry.action(
'Click element by index, set while_holding_ctrl=True to open any resulting navigation in a new tab. Only click on indices that are inside your current browser_state. Never click or assume not existing indices.',
param_model=ClickElementAction,
)
async def click_element_by_index(params: ClickElementAction, browser_session: BrowserSession):
# Dispatch click event with node
try:
assert params.index != 0, (
'Cannot click on element with index 0. If there are no interactive elements use scroll(), wait(), refresh(), etc. to troubleshoot'
)
# Look up the node from the selector map
node = await browser_session.get_element_by_index(params.index)
if node is None:
raise ValueError(f'Element index {params.index} not found in DOM')
event = browser_session.event_bus.dispatch(
ClickElementEvent(node=node, while_holding_ctrl=params.while_holding_ctrl)
)
await event
# Wait for handler to complete and get any exception or metadata
click_metadata = await event.event_result(raise_if_any=True, raise_if_none=False)
memory = f'Clicked element with index {params.index}'
msg = f'🖱️ {memory}'
logger.info(msg)
# Include click coordinates in metadata if available
return ActionResult(
extracted_content=memory,
include_in_memory=True,
long_term_memory=memory,
metadata=click_metadata if isinstance(click_metadata, dict) else None,
)
except Exception as e:
logger.error(f'Failed to execute ClickElementEvent: {type(e).__name__}: {e}')
clean_msg = extract_llm_error_message(e)
error_msg = f'Failed to click element {params.index}: {clean_msg}'
# If it's a select dropdown error, automatically get the dropdown options
if 'dropdown' in str(e) and node:
try:
return await get_dropdown_options(
params=GetDropdownOptionsAction(index=params.index), browser_session=browser_session
)
except Exception as dropdown_error:
logger.error(
f'Failed to get dropdown options as shortcut during click_element_by_index on dropdown: {type(dropdown_error).__name__}: {dropdown_error}'
)
return ActionResult(error=error_msg)
@self.registry.action(
'Click and input text into a input interactive element. Only input text into indices that are inside your current browser_state. Never input text into indices that are not inside your current browser_state.',
param_model=InputTextAction,
)
async def input_text(params: InputTextAction, browser_session: BrowserSession, has_sensitive_data: bool = False):
# Look up the node from the selector map
node = await browser_session.get_element_by_index(params.index)
if node is None:
raise ValueError(f'Element index {params.index} not found in DOM')
# Dispatch type text event with node
try:
event = browser_session.event_bus.dispatch(
TypeTextEvent(node=node, text=params.text, clear_existing=params.clear_existing)
)
await event
input_metadata = await event.event_result(raise_if_any=True, raise_if_none=False)
msg = f"Input '{params.text}' into element {params.index}."
logger.info(msg)
# Include input coordinates in metadata if available
return ActionResult(
extracted_content=msg,
include_in_memory=True,
long_term_memory=f"Input '{params.text}' into element {params.index}.",
metadata=input_metadata if isinstance(input_metadata, dict) else None,
)
except Exception as e:
# Log the full error for debugging
logger.error(f'Failed to dispatch TypeTextEvent: {type(e).__name__}: {e}')
error_msg = f'Failed to input text into element {params.index}: {e}'
return ActionResult(error=error_msg)
@self.registry.action('Upload file to interactive element with file path', param_model=UploadFileAction)
async def upload_file_to_element(
params: UploadFileAction, browser_session: BrowserSession, available_file_paths: list[str], file_system: FileSystem
):
# Check if file is in available_file_paths (user-provided or downloaded files)
if params.path not in available_file_paths:
# Also check if it's a recently downloaded file that might not be in available_file_paths yet
downloaded_files = browser_session.downloaded_files
if params.path not in downloaded_files:
# Finally, check if it's a file in the FileSystem service
if file_system and file_system.get_dir():
# Check if the file is actually managed by the FileSystem service
# The path should be just the filename for FileSystem files
file_obj = file_system.get_file(params.path)
if file_obj:
# File is managed by FileSystem, construct the full path
file_system_path = str(file_system.get_dir() / params.path)
params = UploadFileAction(index=params.index, path=file_system_path)
else:
raise BrowserError(
f'File path {params.path} is not available. Must be in available_file_paths, downloaded_files, or a file managed by file_system.'
)
else:
raise BrowserError(
f'File path {params.path} is not available. Must be in available_file_paths or downloaded_files.'
)
if not os.path.exists(params.path):
raise BrowserError(f'File {params.path} does not exist')
# Get the selector map to find the node
selector_map = await browser_session.get_selector_map()
if params.index not in selector_map:
raise BrowserError(f'Element with index {params.index} not found in selector map')
node = selector_map[params.index]
# Helper function to find file input near the selected element
def find_file_input_near_element(
node: EnhancedDOMTreeNode, max_height: int = 3, max_descendant_depth: int = 3
) -> EnhancedDOMTreeNode | None:
"""Find the closest file input to the selected element."""
def find_file_input_in_descendants(n: EnhancedDOMTreeNode, depth: int) -> EnhancedDOMTreeNode | None:
if depth < 0:
return None
if browser_session.is_file_input(n):
return n
for child in n.children_nodes or []:
result = find_file_input_in_descendants(child, depth - 1)
if result:
return result
return None
current = node
for _ in range(max_height + 1):
# Check the current node itself
if browser_session.is_file_input(current):
return current
# Check all descendants of the current node
result = find_file_input_in_descendants(current, max_descendant_depth)
if result:
return result
# Check all siblings and their descendants
if current.parent_node:
for sibling in current.parent_node.children_nodes or []:
if sibling is current:
continue
if browser_session.is_file_input(sibling):
return sibling
result = find_file_input_in_descendants(sibling, max_descendant_depth)
if result:
return result
current = current.parent_node
if not current:
break
return None
# Try to find a file input element near the selected element
file_input_node = find_file_input_near_element(node)
# If not found near the selected element, fallback to finding the closest file input to current scroll position
if file_input_node is None:
logger.info(
f'No file upload element found near index {params.index}, searching for closest file input to scroll position'
)
# Get current scroll position
cdp_session = await browser_session.get_or_create_cdp_session()
try:
scroll_info = await cdp_session.cdp_client.send.Runtime.evaluate(
params={'expression': 'window.scrollY || window.pageYOffset || 0'}, session_id=cdp_session.session_id
)
current_scroll_y = scroll_info.get('result', {}).get('value', 0)
except Exception:
current_scroll_y = 0
# Find all file inputs in the selector map and pick the closest one to scroll position
closest_file_input = None
min_distance = float('inf')
for idx, element in selector_map.items():
if browser_session.is_file_input(element):
# Get element's Y position
if element.absolute_position:
element_y = element.absolute_position.y
distance = abs(element_y - current_scroll_y)
if distance < min_distance:
min_distance = distance
closest_file_input = element
if closest_file_input:
file_input_node = closest_file_input
logger.info(f'Found file input closest to scroll position (distance: {min_distance}px)')
else:
msg = 'No file upload element found on the page'
logger.error(msg)
raise BrowserError(msg)
# TODO: figure out why this fails sometimes + add fallback hail mary, just look for any file input on page
# Dispatch upload file event with the file input node
try:
event = browser_session.event_bus.dispatch(UploadFileEvent(node=file_input_node, file_path=params.path))
await event
await event.event_result(raise_if_any=True, raise_if_none=False)
msg = f'Successfully uploaded file to index {params.index}'
logger.info(f'📁 {msg}')
return ActionResult(
extracted_content=msg,
include_in_memory=True,
long_term_memory=f'Uploaded file {params.path} to element {params.index}',
)
except Exception as e:
logger.error(f'Failed to upload file: {e}')
raise BrowserError(f'Failed to upload file: {e}')
# Tab Management Actions
@self.registry.action('Switch tab', param_model=SwitchTabAction)
async def switch_tab(params: SwitchTabAction, browser_session: BrowserSession):
# Dispatch switch tab event
try:
if params.tab_id:
target_id = await browser_session.get_target_id_from_tab_id(params.tab_id)
elif params.url:
target_id = await browser_session.get_target_id_from_url(params.url)
else:
target_id = await browser_session.get_most_recently_opened_target_id()
event = browser_session.event_bus.dispatch(SwitchTabEvent(target_id=target_id))
await event
new_target_id = await event.event_result(raise_if_any=True, raise_if_none=False)
assert new_target_id, 'SwitchTabEvent did not return a TargetID for the new tab that was switched to'
memory = f'Switched to Tab with ID {new_target_id[-4:]}'
logger.info(f'🔄 {memory}')
return ActionResult(extracted_content=memory, include_in_memory=True, long_term_memory=memory)
except Exception as e:
logger.error(f'Failed to switch tab: {type(e).__name__}: {e}')
clean_msg = extract_llm_error_message(e)
return ActionResult(error=f'Failed to switch to tab {params.tab_id or params.url}: {clean_msg}')
@self.registry.action('Close an existing tab', param_model=CloseTabAction)
async def close_tab(params: CloseTabAction, browser_session: BrowserSession):
# Dispatch close tab event
try:
target_id = await browser_session.get_target_id_from_tab_id(params.tab_id)
cdp_session = await browser_session.get_or_create_cdp_session()
target_info = await cdp_session.cdp_client.send.Target.getTargetInfo(
params={'targetId': target_id}, session_id=cdp_session.session_id
)
tab_url = target_info['targetInfo']['url']
event = browser_session.event_bus.dispatch(CloseTabEvent(target_id=target_id))
await event
await event.event_result(raise_if_any=True, raise_if_none=False)
memory = f'Closed tab # {params.tab_id} ({_log_pretty_url(tab_url)})'
logger.info(f'🗑️ {memory}')
return ActionResult(
extracted_content=memory,
include_in_memory=True,
long_term_memory=memory,
)
except Exception as e:
logger.error(f'Failed to close tab: {e}')
clean_msg = extract_llm_error_message(e)
return ActionResult(error=f'Failed to close tab {params.tab_id}: {clean_msg}')
# Content Actions
# TODO: Refactor to use events instead of direct page access
# This action is temporarily disabled as it needs refactoring to use events
@self.registry.action(
"""Extract structured, semantic data (e.g. product description, price, all information about XYZ) from the current webpage based on a textual query.
This tool takes the entire markdown of the page and extracts the query from it.
Set extract_links=True ONLY if your query requires extracting links/URLs from the page.
Only use this for specific queries for information retrieval from the page. Don't use this to get interactive elements - the tool does not see HTML elements, only the markdown.
Note: Extracting from the same page will yield the same results unless more content is loaded (e.g., through scrolling for dynamic content, or new page is loaded) - so one extraction per page state is sufficient. If you want to scrape a listing of many elements always first scroll a lot until the page end to load everything and then call this tool in the end.
If you called extract_structured_data in the last step and the result was not good (e.g. because of antispam protection), use the current browser state and scrolling to get the information, dont call extract_structured_data again.
""",
)
async def extract_structured_data(
query: str,
extract_links: bool,
browser_session: BrowserSession,
page_extraction_llm: BaseChatModel,
file_system: FileSystem,
):
cdp_session = await browser_session.get_or_create_cdp_session()
# Wait for the page to be ready (same pattern used in DOM service)
try:
ready_state = await cdp_session.cdp_client.send.Runtime.evaluate(
params={'expression': 'document.readyState'}, session_id=cdp_session.session_id
)
except Exception:
pass # Page might not be ready yet
try:
# Get the HTML content
body_id = await cdp_session.cdp_client.send.DOM.getDocument(session_id=cdp_session.session_id)
page_html_result = await cdp_session.cdp_client.send.DOM.getOuterHTML(
params={'backendNodeId': body_id['root']['backendNodeId']}, session_id=cdp_session.session_id
)
except Exception as e:
raise RuntimeError(f"Couldn't extract page content: {e}")
page_html = page_html_result['outerHTML']
# Simple markdown conversion
try:
import re
import markdownify
if extract_links:
content = markdownify.markdownify(page_html, heading_style='ATX', bullets='-')
else:
content = markdownify.markdownify(page_html, heading_style='ATX', bullets='-', strip=['a'])
# Remove all markdown links and images, keep only the text
content = re.sub(r'!\[.*?\]\([^)]*\)', '', content, flags=re.MULTILINE | re.DOTALL) # Remove images
content = re.sub(
r'\[([^\]]*)\]\([^)]*\)', r'\1', content, flags=re.MULTILINE | re.DOTALL
) # Convert [text](url) -> text
# Remove weird positioning artifacts
content = re.sub(r'\s*\[\d+\]\s*\w+.*?Position:.*?Size:.*?\n?', '', content, flags=re.MULTILINE | re.DOTALL)
content = re.sub(r'Primary: UNKNOWN\n\nNo specific evidence found', '', content, flags=re.MULTILINE | re.DOTALL)
content = re.sub(r'UNKNOWN CONFIDENCE', '', content, flags=re.MULTILINE | re.DOTALL)
content = re.sub(r'!\[\]\(\)', '', content, flags=re.MULTILINE | re.DOTALL)
except Exception as e:
raise RuntimeError(f'Could not convert html to markdown: {type(e).__name__}')
# Simple truncation to 30k characters
if len(content) > 30000:
content = content[:30000] + '\n\n... [Content truncated at 30k characters] ...'
# Simple prompt
prompt = f"""Extract the requested information from this webpage content.
Query: {query}
Webpage Content:
{content}
Provide the extracted information in a clear, structured format."""
try:
response = await asyncio.wait_for(
page_extraction_llm.ainvoke([UserMessage(content=prompt)]),
timeout=120.0,
)
extracted_content = f'Query: {query}\n Result:\n{response.completion}'
# Simple memory handling
if len(extracted_content) < 1000:
memory = extracted_content
include_extracted_content_only_once = False
else:
save_result = await file_system.save_extracted_content(extracted_content)
current_url = await browser_session.get_current_page_url()
memory = (
f'Extracted content from {current_url} for query: {query}\nContent saved to file system: {save_result}'
)
include_extracted_content_only_once = True
logger.info(f'📄 {memory}')
return ActionResult(
extracted_content=extracted_content,
include_extracted_content_only_once=include_extracted_content_only_once,
long_term_memory=memory,
)
except Exception as e:
logger.debug(f'Error extracting content: {e}')
raise RuntimeError(str(e))
@self.registry.action(
'Scroll the page by specified number of pages (set down=True to scroll down, down=False to scroll up, num_pages=number of pages to scroll like 0.5 for half page, 1.0 for one page, etc.). Optional index parameter to scroll within a specific element or its scroll container (works well for dropdowns and custom UI components). Use index=0 or omit index to scroll the entire page.',
param_model=ScrollAction,
)
async def scroll(params: ScrollAction, browser_session: BrowserSession):
try:
# Look up the node from the selector map if index is provided
# Special case: index 0 means scroll the whole page (root/body element)
node = None
if params.frame_element_index is not None and params.frame_element_index != 0:
try:
node = await browser_session.get_element_by_index(params.frame_element_index)
if node is None:
# Element not found - return error
raise ValueError(f'Element index {params.frame_element_index} not found in DOM')
except Exception as e:
# Error getting element - return error
raise ValueError(f'Failed to get element {params.frame_element_index}: {e}') from e
# Dispatch scroll event with node - the complex logic is handled in the event handler
# Convert pages to pixels (assuming 800px per page as standard viewport height)
pixels = int(params.num_pages * 800)
event = browser_session.event_bus.dispatch(
ScrollEvent(direction='down' if params.down else 'up', amount=pixels, node=node)
)
await event
await event.event_result(raise_if_any=True, raise_if_none=False)
direction = 'down' if params.down else 'up'
# If index is 0 or None, we're scrolling the page
target = (
'the page'
if params.frame_element_index is None or params.frame_element_index == 0
else f'element {params.frame_element_index}'
)
if params.num_pages == 1.0:
long_term_memory = f'Scrolled {direction} {target} by one page'
else:
long_term_memory = f'Scrolled {direction} {target} by {params.num_pages} pages'
msg = f'🔍 {long_term_memory}'
logger.info(msg)
return ActionResult(extracted_content=msg, include_in_memory=True, long_term_memory=long_term_memory)
except Exception as e:
logger.error(f'Failed to dispatch ScrollEvent: {type(e).__name__}: {e}')
clean_msg = extract_llm_error_message(e)
error_msg = f'Failed to scroll: {clean_msg}'
return ActionResult(error=error_msg)
@self.registry.action(
'Send strings of special keys to use Playwright page.keyboard.press - examples include Escape, Backspace, Insert, PageDown, Delete, Enter, or Shortcuts such as `Control+o`, `Control+Shift+T`',
param_model=SendKeysAction,
)
async def send_keys(params: SendKeysAction, browser_session: BrowserSession):
# Dispatch send keys event
try:
event = browser_session.event_bus.dispatch(SendKeysEvent(keys=params.keys))
await event
await event.event_result(raise_if_any=True, raise_if_none=False)
memory = f'Sent keys: {params.keys}'
msg = f'⌨️ {memory}'
logger.info(msg)
return ActionResult(extracted_content=memory, include_in_memory=True, long_term_memory=memory)
except Exception as e:
logger.error(f'Failed to dispatch SendKeysEvent: {type(e).__name__}: {e}')
clean_msg = extract_llm_error_message(e)
error_msg = f'Failed to send keys: {clean_msg}'
return ActionResult(error=error_msg)
@self.registry.action(
description='Scroll to a text in the current page',
)
async def scroll_to_text(text: str, browser_session: BrowserSession): # type: ignore
# Dispatch scroll to text event
event = browser_session.event_bus.dispatch(ScrollToTextEvent(text=text))
try:
# The handler returns None on success or raises an exception if text not found
await event.event_result(raise_if_any=True, raise_if_none=False)
memory = f'Scrolled to text: {text}'
msg = f'🔍 {memory}'
logger.info(msg)
return ActionResult(extracted_content=memory, include_in_memory=True, long_term_memory=memory)
except Exception as e:
# Text not found
msg = f"Text '{text}' not found or not visible on page"
logger.info(msg)
return ActionResult(
extracted_content=msg,
include_in_memory=True,
long_term_memory=f"Tried scrolling to text '{text}' but it was not found",
)
# Dropdown Actions
@self.registry.action(
'Get list of option values exposed by a specific dropdown input field. Only works on dropdown-style form elements (<select>, Semantic UI/aria-labeled select, etc.).',
param_model=GetDropdownOptionsAction,
)
async def get_dropdown_options(params: GetDropdownOptionsAction, browser_session: BrowserSession):
"""Get all options from a native dropdown or ARIA menu"""
# Look up the node from the selector map
node = await browser_session.get_element_by_index(params.index)
if node is None:
raise ValueError(f'Element index {params.index} not found in DOM')
# Dispatch GetDropdownOptionsEvent to the event handler
import json
event = browser_session.event_bus.dispatch(GetDropdownOptionsEvent(node=node))
dropdown_data = await event.event_result(timeout=3.0, raise_if_none=True, raise_if_any=True)
if not dropdown_data:
raise ValueError('Failed to get dropdown options - no data returned')
# Extract the message from the returned data
msg = dropdown_data.get('message', '')
options_count = len(json.loads(dropdown_data.get('options', '[]'))) # Parse the string back to list to get count
return ActionResult(
extracted_content=msg,
include_in_memory=True,
long_term_memory=f'Found {options_count} dropdown options for index {params.index}',
include_extracted_content_only_once=True,
)
@self.registry.action(
'Select dropdown option by exact text from any dropdown type (native <select>, ARIA menus, or custom dropdowns). Searches target element and children to find selectable options.',
param_model=SelectDropdownOptionAction,
)
async def select_dropdown_option(params: SelectDropdownOptionAction, browser_session: BrowserSession):
"""Select dropdown option by the text of the option you want to select"""
# Look up the node from the selector map
node = await browser_session.get_element_by_index(params.index)
if node is None:
raise ValueError(f'Element index {params.index} not found in DOM')
# Dispatch SelectDropdownOptionEvent to the event handler
from browser_use.browser.events import SelectDropdownOptionEvent
event = browser_session.event_bus.dispatch(SelectDropdownOptionEvent(node=node, text=params.text))
selection_data = await event.event_result()
if not selection_data:
raise ValueError('Failed to select dropdown option - no data returned')
# Extract the message from the returned data
msg = selection_data.get('message', f'Selected option: {params.text}')
return ActionResult(
extracted_content=msg,
include_in_memory=True,
long_term_memory=f"Selected dropdown option '{params.text}' at index {params.index}",
)
# File System Actions
@self.registry.action(
'Write or append content to file_name in file system. Allowed extensions are .md, .txt, .json, .csv, .pdf. For .pdf files, write the content in markdown format and it will automatically be converted to a properly formatted PDF document.'
)
async def write_file(
file_name: str,
content: str,
file_system: FileSystem,
append: bool = False,
trailing_newline: bool = True,
leading_newline: bool = False,
):
if trailing_newline:
content += '\n'
if leading_newline:
content = '\n' + content
if append:
result = await file_system.append_file(file_name, content)
else:
result = await file_system.write_file(file_name, content)
logger.info(f'💾 {result}')
return ActionResult(extracted_content=result, include_in_memory=True, long_term_memory=result)
@self.registry.action(
'Replace old_str with new_str in file_name. old_str must exactly match the string to replace in original text. Recommended tool to mark completed items in todo.md or change specific contents in a file.'
)
async def replace_file_str(file_name: str, old_str: str, new_str: str, file_system: FileSystem):
result = await file_system.replace_file_str(file_name, old_str, new_str)
logger.info(f'💾 {result}')
return ActionResult(extracted_content=result, include_in_memory=True, long_term_memory=result)
@self.registry.action('Read file_name from file system')
async def read_file(file_name: str, available_file_paths: list[str], file_system: FileSystem):
if available_file_paths and file_name in available_file_paths:
result = await file_system.read_file(file_name, external_file=True)
else:
result = await file_system.read_file(file_name)
MAX_MEMORY_SIZE = 1000
if len(result) > MAX_MEMORY_SIZE:
lines = result.splitlines()
display = ''
lines_count = 0
for line in lines:
if len(display) + len(line) < MAX_MEMORY_SIZE:
display += line + '\n'
lines_count += 1
else:
break
remaining_lines = len(lines) - lines_count
memory = f'{display}{remaining_lines} more lines...' if remaining_lines > 0 else display
else:
memory = result
logger.info(f'💾 {memory}')
return ActionResult(
extracted_content=result,
include_in_memory=True,
long_term_memory=memory,
include_extracted_content_only_once=True,
)
# @self.registry.action('Google Sheets: Get the contents of the entire sheet', domains=['https://docs.google.com'])
# async def read_sheet_contents(browser_session: BrowserSession):
# # Use send keys events to select and copy all cells
# for key in ['Enter', 'Escape', 'ControlOrMeta+A', 'ControlOrMeta+C']:
# event = browser_session.event_bus.dispatch(SendKeysEvent(keys=key))
# await event
# # Get page to evaluate clipboard
# page = await browser_session.get_current_page()
# extracted_tsv = await page.evaluate('() => navigator.clipboard.readText()')
# return ActionResult(
# extracted_content=extracted_tsv,
# include_in_memory=True,
# long_term_memory='Retrieved sheet contents',
# include_extracted_content_only_once=True,
# )
# @self.registry.action('Google Sheets: Get the contents of a cell or range of cells', domains=['https://docs.google.com'])
# async def read_cell_contents(cell_or_range: str, browser_session: BrowserSession):
# page = await browser_session.get_current_page()
# await select_cell_or_range(cell_or_range=cell_or_range, page=page)
# await page.keyboard.press('ControlOrMeta+C')
# await asyncio.sleep(0.1)
# extracted_tsv = await page.evaluate('() => navigator.clipboard.readText()')
# return ActionResult(
# extracted_content=extracted_tsv,
# include_in_memory=True,
# long_term_memory=f'Retrieved contents from {cell_or_range}',
# include_extracted_content_only_once=True,
# )
# @self.registry.action(
# 'Google Sheets: Update the content of a cell or range of cells', domains=['https://docs.google.com']
# )
# async def update_cell_contents(cell_or_range: str, new_contents_tsv: str, browser_session: BrowserSession):
# page = await browser_session.get_current_page()
# await select_cell_or_range(cell_or_range=cell_or_range, page=page)
# # simulate paste event from clipboard with TSV content
# await page.evaluate(f"""
# const clipboardData = new DataTransfer();
# clipboardData.setData('text/plain', `{new_contents_tsv}`);
# document.activeElement.dispatchEvent(new ClipboardEvent('paste', {{clipboardData}}));
# """)
# return ActionResult(
# extracted_content=f'Updated cells: {cell_or_range} = {new_contents_tsv}',
# include_in_memory=False,
# long_term_memory=f'Updated cells {cell_or_range} with {new_contents_tsv}',
# )
# @self.registry.action('Google Sheets: Clear whatever cells are currently selected', domains=['https://docs.google.com'])
# async def clear_cell_contents(cell_or_range: str, browser_session: BrowserSession):
# page = await browser_session.get_current_page()
# await select_cell_or_range(cell_or_range=cell_or_range, page=page)
# await page.keyboard.press('Backspace')
# return ActionResult(
# extracted_content=f'Cleared cells: {cell_or_range}',
# include_in_memory=False,
# long_term_memory=f'Cleared cells {cell_or_range}',
# )
# @self.registry.action('Google Sheets: Select a specific cell or range of cells', domains=['https://docs.google.com'])
# async def select_cell_or_range(cell_or_range: str, browser_session: BrowserSession):
# # Use send keys events for navigation
# for key in ['Enter', 'Escape']:
# event = browser_session.event_bus.dispatch(SendKeysEvent(keys=key))
# await event
# await asyncio.sleep(0.1)
# for key in ['Home', 'ArrowUp']:
# event = browser_session.event_bus.dispatch(SendKeysEvent(keys=key))
# await event
# await asyncio.sleep(0.1)
# event = browser_session.event_bus.dispatch(SendKeysEvent(keys='Control+G'))
# await event
# await asyncio.sleep(0.2)
# # Get page to type the cell range
# page = await browser_session.get_current_page()
# await page.keyboard.type(cell_or_range, delay=0.05)
# await asyncio.sleep(0.2)
# for key in ['Enter', 'Escape']:
# event = browser_session.event_bus.dispatch(SendKeysEvent(keys=key))
# await event
# await asyncio.sleep(0.2)
# return ActionResult(
# extracted_content=f'Selected cells: {cell_or_range}',
# include_in_memory=False,
# long_term_memory=f'Selected cells {cell_or_range}',
# )
# @self.registry.action(
# 'Google Sheets: Fallback method to type text into (only one) currently selected cell',
# domains=['https://docs.google.com'],
# )
# async def fallback_input_into_single_selected_cell(text: str, browser_session: BrowserSession):
# # Get page to type text
# page = await browser_session.get_current_page()
# await page.keyboard.type(text, delay=0.1)
# # Use send keys for Enter and ArrowUp
# for key in ['Enter', 'ArrowUp']:
# event = browser_session.event_bus.dispatch(SendKeysEvent(keys=key))
# await event
# return ActionResult(
# extracted_content=f'Inputted text {text}',
# include_in_memory=False,
# long_term_memory=f"Inputted text '{text}' into cell",
# )
# Custom done action for structured output
def _register_done_action(self, output_model: type[T] | None, display_files_in_done_text: bool = True):
if output_model is not None:
self.display_files_in_done_text = display_files_in_done_text
@self.registry.action(
'Complete task - with return text and if the task is finished (success=True) or not yet completely finished (success=False), because last step is reached',
param_model=StructuredOutputAction[output_model],
)
async def done(params: StructuredOutputAction):
# 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),
long_term_memory=f'Task completed. Success Status: {params.success}',
)
else:
@self.registry.action(
'Complete task - provide a summary of results for the user. Set success=True if task completed successfully, false otherwise. Text should be your response to the user summarizing results. Include files you would like to display to the user in files_to_display.',
param_model=DoneAction,
)
async def done(params: DoneAction, file_system: FileSystem):
user_message = params.text
len_text = len(params.text)
len_max_memory = 100
memory = f'Task completed: {params.success} - {params.text[:len_max_memory]}'
if len_text > len_max_memory:
memory += f' - {len_text - len_max_memory} more characters'
attachments = []
if params.files_to_display:
if self.display_files_in_done_text:
file_msg = ''
for file_name in params.files_to_display:
if file_name == 'todo.md':
continue
file_content = file_system.display_file(file_name)
if file_content:
file_msg += f'\n\n{file_name}:\n{file_content}'
attachments.append(file_name)
if file_msg:
user_message += '\n\nAttachments:'
user_message += file_msg
else:
logger.warning('Agent wanted to display files but none were found')
else:
for file_name in params.files_to_display:
if file_name == 'todo.md':
continue
file_content = file_system.display_file(file_name)
if file_content:
attachments.append(file_name)
attachments = [str(file_system.get_dir() / file_name) for file_name in attachments]
return ActionResult(
is_done=True,
success=params.success,
extracted_content=user_message,
long_term_memory=memory,
attachments=attachments,
)
def use_structured_output_action(self, output_model: type[T]):
self._register_done_action(output_model)
# 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 --------------------------------------------------------------------
@observe_debug(ignore_input=True, ignore_output=True, name='act')
@time_execution_sync('--act')
async def act(
self,
action: ActionModel,
browser_session: BrowserSession,
#
page_extraction_llm: BaseChatModel | None = None,
sensitive_data: dict[str, str | dict[str, str]] | None = None,
available_file_paths: list[str] | None = None,
file_system: FileSystem | None = None,
#
context: Context | None = None,
) -> ActionResult:
"""Execute an action"""
for action_name, params in action.model_dump(exclude_unset=True).items():
if params is not None:
# Use Laminar span if available, otherwise use no-op context manager
if Laminar is not None:
span_context = Laminar.start_as_current_span(
name=action_name,
input={
'action': action_name,
'params': params,
},
span_type='TOOL',
)
else:
# No-op context manager when lmnr is not available
from contextlib import nullcontext
span_context = nullcontext()
with span_context:
try:
result = await self.registry.execute_action(
action_name=action_name,
params=params,
browser_session=browser_session,
page_extraction_llm=page_extraction_llm,
file_system=file_system,
sensitive_data=sensitive_data,
available_file_paths=available_file_paths,
context=context,
)
except Exception as e:
# Log the original exception with traceback for observability
logger.error(f"Action '{action_name}' failed")
# Extract clean error message from llm_error_msg tags if present
clean_msg = extract_llm_error_message(e)
result = ActionResult(error=clean_msg)
if Laminar is not None:
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()