mirror of
https://github.com/browser-use/browser-use
synced 2026-05-13 17:56:35 +02:00
1161 lines
43 KiB
Python
1161 lines
43 KiB
Python
import asyncio
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import enum
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import json
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import logging
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from typing import Generic, TypeVar
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try:
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from lmnr import Laminar # type: ignore
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except ImportError:
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Laminar = None # type: ignore
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from pydantic import BaseModel
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from browser_use.agent.views import ActionModel, ActionResult
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from browser_use.browser import BrowserSession
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from browser_use.browser.events import (
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ClickElementEvent,
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CloseTabEvent,
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GoBackEvent,
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NavigateToUrlEvent,
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ScrollEvent,
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ScrollToTextEvent,
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SendKeysEvent,
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SwitchTabEvent,
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TypeTextEvent,
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)
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from browser_use.browser.views import BrowserError
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from browser_use.controller.registry.service import Registry
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from browser_use.controller.views import (
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ClickElementAction,
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CloseTabAction,
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DoneAction,
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GoToUrlAction,
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InputTextAction,
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NoParamsAction,
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ScrollAction,
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SearchGoogleAction,
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SendKeysAction,
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StructuredOutputAction,
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SwitchTabAction,
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)
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from browser_use.filesystem.file_system import FileSystem
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from browser_use.llm.base import BaseChatModel
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from browser_use.llm.messages import UserMessage
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from browser_use.observability import observe_debug
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from browser_use.utils import time_execution_sync
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logger = logging.getLogger(__name__)
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# Import EnhancedDOMTreeNode and rebuild event models that have forward references to it
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# This must be done after all imports are complete
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ClickElementEvent.model_rebuild()
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TypeTextEvent.model_rebuild()
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ScrollEvent.model_rebuild()
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# Note: UploadFileEvent also has node references but is not imported yet
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Context = TypeVar('Context')
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T = TypeVar('T', bound=BaseModel)
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class Controller(Generic[Context]):
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def __init__(
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self,
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exclude_actions: list[str] = [],
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output_model: type[T] | None = None,
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display_files_in_done_text: bool = True,
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):
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self.registry = Registry[Context](exclude_actions)
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self.display_files_in_done_text = display_files_in_done_text
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"""Register all default browser actions"""
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self._register_done_action(output_model)
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# Basic Navigation Actions
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@self.registry.action(
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'Search the query in Google, the query should be a search query like humans search in Google, concrete and not vague or super long.',
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param_model=SearchGoogleAction,
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)
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async def search_google(params: SearchGoogleAction, browser_session: BrowserSession):
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search_url = f'https://www.google.com/search?q={params.query}&udm=14'
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# Check if there's already a tab open on Google or agent's about:blank
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use_new_tab = True
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try:
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tabs = await browser_session.get_tabs()
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# Get last 4 chars of browser session ID to identify agent's tabs
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browser_session_label = str(browser_session.id)[-4:]
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logger.debug(f'Checking {len(tabs)} tabs for reusable tab (browser_session_label: {browser_session_label})')
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for i, tab in enumerate(tabs):
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logger.debug(f'Tab {i}: url="{tab.url}", title="{tab.title}"')
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# Check if tab is on Google domain
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if tab.url and tab.url.strip('/').lower() in ('https://www.google.com', 'https://google.com'):
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# Found existing Google tab, navigate in it
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logger.debug(f'Found existing Google tab at index {i}: {tab.url}, reusing it')
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# Switch to this tab first if it's not the current one
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from browser_use.browser.events import SwitchTabEvent
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if browser_session.agent_focus and tab.id != browser_session.agent_focus.target_id:
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switch_event = browser_session.event_bus.dispatch(SwitchTabEvent(tab_index=i))
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await switch_event
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use_new_tab = False
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break
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# Check if it's an agent-owned about:blank page (has "Starting agent XXXX..." title)
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# IMPORTANT: about:blank is also used briefly for new tabs the agent is trying to open, dont take over those!
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elif tab.url == 'about:blank' and tab.title:
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# Check if this is our agent's about:blank page with DVD animation
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# The title should be "Starting agent XXXX..." where XXXX is the browser_session_label
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expected_title = f'Starting agent {browser_session_label}...'
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if tab.title == expected_title or browser_session_label in tab.title:
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# This is our agent's about:blank page
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logger.debug(f'Found agent-owned about:blank tab at index {i} with title: "{tab.title}", reusing it')
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# Switch to this tab first
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from browser_use.browser.events import SwitchTabEvent
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if browser_session.agent_focus and tab.id != browser_session.agent_focus.target_id:
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switch_event = browser_session.event_bus.dispatch(SwitchTabEvent(tab_index=i))
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await switch_event
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use_new_tab = False
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break
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except Exception as e:
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logger.debug(f'Could not check for existing tabs: {e}, using new tab')
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# Dispatch navigation event
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event = browser_session.event_bus.dispatch(
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NavigateToUrlEvent(
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url=search_url,
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new_tab=use_new_tab,
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)
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)
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await event
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msg = f'🔍 Searched for "{params.query}" in Google'
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logger.info(msg)
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return ActionResult(
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extracted_content=msg, include_in_memory=True, long_term_memory=f"Searched Google for '{params.query}'"
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)
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@self.registry.action(
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'Navigate to URL, set new_tab=True to open in new tab, False to navigate in current tab', param_model=GoToUrlAction
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)
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async def go_to_url(params: GoToUrlAction, browser_session: BrowserSession):
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try:
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# Dispatch navigation event
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event = browser_session.event_bus.dispatch(NavigateToUrlEvent(url=params.url, new_tab=params.new_tab))
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await event
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if params.new_tab:
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memory = f'Opened new tab with URL {params.url}'
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msg = f'🔗 Opened new tab with url {params.url}'
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else:
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memory = f'Navigated to {params.url}'
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msg = f'🔗 {memory}'
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logger.info(msg)
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return ActionResult(extracted_content=msg, include_in_memory=True, long_term_memory=memory)
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except Exception as e:
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error_msg = str(e)
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# Always log the actual error first for debugging
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browser_session.logger.error(f'❌ Navigation failed: {error_msg}')
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# Check if it's specifically a RuntimeError about CDP client
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if isinstance(e, RuntimeError) and 'CDP client not initialized' in error_msg:
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browser_session.logger.error('❌ Browser connection failed - CDP client not properly initialized')
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raise BrowserError(f'Browser connection error: {error_msg}')
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# Check for network-related errors
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elif any(
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err in error_msg
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for err in [
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'ERR_NAME_NOT_RESOLVED',
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'ERR_INTERNET_DISCONNECTED',
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'ERR_CONNECTION_REFUSED',
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'ERR_TIMED_OUT',
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'net::',
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]
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):
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site_unavailable_msg = f'Site unavailable: {params.url} - {error_msg}'
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browser_session.logger.warning(f'⚠️ {site_unavailable_msg}')
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raise BrowserError(site_unavailable_msg)
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else:
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# Re-raise the original error
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raise
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@self.registry.action('Go back', param_model=NoParamsAction)
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async def go_back(_: NoParamsAction, browser_session: BrowserSession):
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try:
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event = browser_session.event_bus.dispatch(GoBackEvent())
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await event
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except Exception as e:
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logger.error(f'Failed to dispatch GoBackEvent: {type(e).__name__}: {e}')
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raise ValueError(f'Failed to go back: {e}') from e
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msg = '🔙 Navigated back'
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logger.info(msg)
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return ActionResult(extracted_content=msg)
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@self.registry.action(
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'Wait for x seconds default 3 (max 10 seconds). This can be used to wait until the page is fully loaded.'
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)
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async def wait(seconds: int = 3):
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# Cap wait time at maximum 10 seconds
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# Reduce the wait time by 3 seconds to account for the llm call which takes at least 3 seconds
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# 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
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actual_seconds = min(max(seconds - 3, 0), 10)
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msg = f'🕒 Waiting for {actual_seconds + 3} seconds'
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logger.info(msg)
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await asyncio.sleep(actual_seconds)
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return ActionResult(extracted_content=msg)
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# Element Interaction Actions
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@self.registry.action(
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'Click element by index, set new_tab=True to open any resulting navigation in a new tab',
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param_model=ClickElementAction,
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)
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async def click_element_by_index(params: ClickElementAction, browser_session: BrowserSession):
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# Look up the node from the selector map
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node = await browser_session.get_element_by_index(params.index)
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if node is None:
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raise ValueError(f'Element index {params.index} not found in DOM')
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# Dispatch click event with node
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try:
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await browser_session.event_bus.dispatch(ClickElementEvent(node=node, new_tab=params.new_tab))
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except Exception as e:
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logger.error(f'Failed to dispatch ClickElementEvent: {type(e).__name__}: {e}')
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raise ValueError(f'Failed to click element {params.index}: {e}') from e
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msg = f'🖱️ Clicked element with index {params.index}'
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logger.info(msg)
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return ActionResult(extracted_content=msg, include_in_memory=True, long_term_memory=msg)
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@self.registry.action(
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'Click and input text into a input interactive element',
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param_model=InputTextAction,
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)
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async def input_text(params: InputTextAction, browser_session: BrowserSession, has_sensitive_data: bool = False):
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# Look up the node from the selector map
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node = await browser_session.get_element_by_index(params.index)
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if node is None:
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raise ValueError(f'Element index {params.index} not found in DOM')
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# Dispatch type text event with node
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try:
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event = browser_session.event_bus.dispatch(TypeTextEvent(node=node, text=params.text))
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await event
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except Exception as e:
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# Log the full error for debugging
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logger.error(f'Failed to dispatch TypeTextEvent: {type(e).__name__}: {e}')
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# Re-raise with more context
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raise ValueError(f'Failed to input text into element {params.index}: {e}') from e
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# AUTO-ENTER for search fields: Automatically press Enter for search inputs
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should_auto_enter = False
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# Check if this is a search field based on element attributes
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if node.attributes:
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# Check for search-related attributes
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search_indicators = {'search', 'query', 'find', 'lookup', 'searchbox', 'search-input'}
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# Check input type
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input_type = node.attributes.get('type', '').lower()
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if input_type == 'search':
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should_auto_enter = True
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# Check class names
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class_list = node.attributes.get('class', '').lower()
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if any(indicator in class_list for indicator in search_indicators):
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should_auto_enter = True
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# Check id
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element_id = node.attributes.get('id', '').lower()
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if any(indicator in element_id for indicator in search_indicators):
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should_auto_enter = True
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# Check placeholder text
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placeholder = node.attributes.get('placeholder', '').lower()
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if any(indicator in placeholder for indicator in search_indicators):
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should_auto_enter = True
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# Check aria-label
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aria_label = node.attributes.get('aria-label', '').lower()
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if any(indicator in aria_label for indicator in search_indicators):
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should_auto_enter = True
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# Auto-press Enter for search fields
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if should_auto_enter:
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try:
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logger.info('🔍 Detected search field, auto-pressing Enter after input')
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enter_event = browser_session.event_bus.dispatch(SendKeysEvent(keys='Enter'))
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await enter_event
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except Exception as e:
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logger.warning(f'Failed to auto-press Enter: {e}')
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# Don't fail the entire action if Enter fails
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if not has_sensitive_data:
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msg = f'⌨️ Input {params.text} into index {params.index}'
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if should_auto_enter:
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msg += ' (+ Enter)'
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else:
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msg = f'⌨️ Input sensitive data into index {params.index}'
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if should_auto_enter:
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msg += ' (+ Enter)'
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logger.info(msg)
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return ActionResult(
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extracted_content=msg,
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include_in_memory=True,
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long_term_memory=f"Input '{params.text}' into element {params.index}."
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+ (' Pressed Enter automatically.' if should_auto_enter else ''),
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)
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# @self.registry.action('Upload file to interactive element with file path', param_model=UploadFileAction)
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# async def upload_file(params: UploadFileAction, browser_session: BrowserSession, available_file_paths: list[str]):
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# if params.path not in available_file_paths:
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# raise BrowserError(f'File path {params.path} is not available')
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# if not os.path.exists(params.path):
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# raise BrowserError(f'File {params.path} does not exist')
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# # Look up the node from the selector map
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# node = EnhancedDOMTreeNode.from_element_index(browser_session, params.index)
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# # Dispatch upload file event with node
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# event = browser_session.event_bus.dispatch(
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# UploadFileEvent(
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# node=node,
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# file_path=params.path
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# )
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# )
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# await event
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# msg = f'📁 Successfully uploaded file to index {params.index}'
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# logger.info(msg)
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# return ActionResult(
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# extracted_content=msg,
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# include_in_memory=True,
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# long_term_memory=f'Uploaded file {params.path} to element {params.index}',
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# )
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# Tab Management Actions
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@self.registry.action('Switch tab', param_model=SwitchTabAction)
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async def switch_tab(params: SwitchTabAction, browser_session: BrowserSession):
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# Dispatch switch tab event
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event = browser_session.event_bus.dispatch(SwitchTabEvent(tab_index=params.page_id))
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await event
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msg = f'🔄 Switched to tab #{params.page_id}'
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logger.info(msg)
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return ActionResult(
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extracted_content=msg, include_in_memory=True, long_term_memory=f'Switched to tab {params.page_id}'
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)
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@self.registry.action('Close an existing tab', param_model=CloseTabAction)
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async def close_tab(params: CloseTabAction, browser_session: BrowserSession):
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# Dispatch close tab event
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event = browser_session.event_bus.dispatch(CloseTabEvent(tab_index=params.page_id))
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await event
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msg = f'❌ Closed tab #{params.page_id}'
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logger.info(msg)
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return ActionResult(
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extracted_content=msg,
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include_in_memory=True,
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long_term_memory=f'Closed tab {params.page_id}',
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)
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# Content Actions
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# TODO: Refactor to use events instead of direct page access
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# This action is temporarily disabled as it needs refactoring to use events
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@self.registry.action(
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"""Extract structured, semantic data (e.g. product description, price, all information about XYZ) from the current webpage based on a textual query.
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This tool takes the entire markdown of the page and extracts the query from it.
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Set extract_links=True ONLY if your query requires extracting links/URLs from the page.
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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.
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""",
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)
|
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async def extract_structured_data(
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query: str,
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extract_links: bool,
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browser_session: BrowserSession,
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page_extraction_llm: BaseChatModel,
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file_system: FileSystem,
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):
|
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cdp_session = await browser_session.get_or_create_cdp_session()
|
|
|
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# Wait for the page to be ready (same pattern used in DOM service)
|
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try:
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ready_state = await cdp_session.cdp_client.send.Runtime.evaluate(
|
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params={'expression': 'document.readyState'}, session_id=cdp_session.session_id
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)
|
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except Exception:
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pass # Page might not be ready yet
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|
|
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try:
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# Get the HTML content
|
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body_id = await cdp_session.cdp_client.send.DOM.getDocument(session_id=cdp_session.session_id)
|
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page_html_result = await cdp_session.cdp_client.send.DOM.getOuterHTML(
|
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params={'backendNodeId': body_id['root']['backendNodeId']}, session_id=cdp_session.session_id
|
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)
|
|
except Exception as e:
|
|
raise RuntimeError(f"Couldn't extract page content: {e}")
|
|
|
|
page_html = page_html_result['outerHTML']
|
|
|
|
# Simple markdown conversion
|
|
try:
|
|
import markdownify
|
|
|
|
if extract_links:
|
|
content = markdownify.markdownify(page_html, heading_style='ATX', bullets='-')
|
|
else:
|
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content = markdownify.markdownify(page_html, heading_style='ATX', bullets='-', strip=['a'])
|
|
except Exception as e:
|
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raise RuntimeError(f'Could not convert html to markdown: {type(e).__name__}')
|
|
|
|
# Simple truncation to 30k characters
|
|
if len(content) > 30000:
|
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content = content[:30000] + '\n\n... [Content truncated at 30k characters] ...'
|
|
|
|
# Simple prompt
|
|
prompt = f"""Extract the requested information from this webpage content.
|
|
|
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Query: {query}
|
|
|
|
Webpage Content:
|
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{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,
|
|
)
|
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|
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extracted_content = f'Query: {query}\nExtracted Content:\n{response.completion}'
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|
|
# Simple memory handling
|
|
if len(extracted_content) < 1000:
|
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memory = extracted_content
|
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include_extracted_content_only_once = False
|
|
else:
|
|
save_result = await file_system.save_extracted_content(extracted_content)
|
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memory = f'Extracted content from {cdp_session.url} for query: {query}\nContent saved to file system: {save_result}'
|
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include_extracted_content_only_once = True
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|
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logger.info(f'📄 {memory}')
|
|
return ActionResult(
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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,
|
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)
|
|
async def scroll(params: ScrollAction, browser_session: BrowserSession):
|
|
# 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.index is not None and params.index != 0:
|
|
try:
|
|
node = await browser_session.get_element_by_index(params.index)
|
|
if node is None:
|
|
# Element not found - return error
|
|
raise ValueError(f'Element index {params.index} not found in DOM')
|
|
except Exception as e:
|
|
# Error getting element - return error
|
|
raise ValueError(f'Failed to get element {params.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)
|
|
try:
|
|
event = browser_session.event_bus.dispatch(
|
|
ScrollEvent(direction='down' if params.down else 'up', amount=pixels, node=node)
|
|
)
|
|
await event
|
|
except Exception as e:
|
|
logger.error(f'Failed to dispatch ScrollEvent: {type(e).__name__}: {e}')
|
|
raise ValueError(f'Failed to scroll: {e}') from e
|
|
|
|
direction = 'down' if params.down else 'up'
|
|
# If index is 0 or None, we're scrolling the page
|
|
target = 'the page' if params.index is None or params.index == 0 else f'element {params.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)
|
|
|
|
@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
|
|
except Exception as e:
|
|
logger.error(f'Failed to dispatch SendKeysEvent: {type(e).__name__}: {e}')
|
|
raise ValueError(f'Failed to send keys: {e}') from e
|
|
|
|
msg = f'⌨️ Sent keys: {params.keys}'
|
|
logger.info(msg)
|
|
return ActionResult(extracted_content=msg, include_in_memory=True, long_term_memory=f'Sent keys: {params.keys}')
|
|
|
|
@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))
|
|
await event
|
|
|
|
# Check result to see if text was found
|
|
result = await event.event_result()
|
|
if result and result.get('found'):
|
|
msg = f'🔍 Scrolled to text: {text}'
|
|
logger.info(msg)
|
|
return ActionResult(extracted_content=msg, include_in_memory=True, long_term_memory=f'Scrolled to text: {text}')
|
|
else:
|
|
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",
|
|
)
|
|
|
|
# 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,
|
|
)
|
|
|
|
# TODO: Refactor to use events instead of direct page/dom access
|
|
# @self.registry.action(
|
|
# description='Get all options from a native dropdown or ARIA menu',
|
|
# )
|
|
# async def get_dropdown_options(index: int, browser_session: BrowserSession) -> ActionResult:
|
|
# """Get all options from a native dropdown or ARIA menu"""
|
|
|
|
# dom_element = await browser_session.get_dom_element_by_index(index)
|
|
# if dom_element is None:
|
|
# raise Exception(f'Element index {index} does not exist - retry or use alternative actions')
|
|
|
|
# try:
|
|
# # Frame-aware approach since we know it works
|
|
# all_options = []
|
|
# frame_index = 0
|
|
|
|
# for frame in page.frames:
|
|
# try:
|
|
# # First check if it's a native select element
|
|
# options = await frame.evaluate(
|
|
# """
|
|
# (xpath) => {
|
|
# const element = document.evaluate(xpath, document, null,
|
|
# XPathResult.FIRST_ORDERED_NODE_TYPE, null).singleNodeValue;
|
|
# if (!element) return null;
|
|
|
|
# // Check if it's a native select element
|
|
# if (element.tagName.toLowerCase() === 'select') {
|
|
# return {
|
|
# type: 'select',
|
|
# options: Array.from(element.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: element.id,
|
|
# name: element.name
|
|
# };
|
|
# }
|
|
|
|
# // Check if it's an ARIA menu
|
|
# if (element.getAttribute('role') === 'menu' ||
|
|
# element.getAttribute('role') === 'listbox' ||
|
|
# element.getAttribute('role') === 'combobox') {
|
|
# // Find all menu items
|
|
# const menuItems = element.querySelectorAll('[role="menuitem"], [role="option"]');
|
|
# const options = [];
|
|
|
|
# menuItems.forEach((item, idx) => {
|
|
# // Get the text content of the menu item
|
|
# const text = item.textContent.trim();
|
|
# if (text) {
|
|
# options.push({
|
|
# text: text,
|
|
# value: text, // For ARIA menus, use text as value
|
|
# index: idx
|
|
# });
|
|
# }
|
|
# });
|
|
|
|
# return {
|
|
# type: 'aria',
|
|
# options: options,
|
|
# id: element.id || '',
|
|
# name: element.getAttribute('aria-label') || ''
|
|
# };
|
|
# }
|
|
|
|
# return null;
|
|
# }
|
|
# """,
|
|
# dom_element.xpath,
|
|
# )
|
|
|
|
# if options:
|
|
# logger.debug(f'Found {options["type"]} dropdown in frame {frame_index}')
|
|
# logger.debug(f'Element 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,
|
|
# long_term_memory=f'Found dropdown options for index {index}.',
|
|
# include_extracted_content_only_once=True,
|
|
# )
|
|
# else:
|
|
# msg = 'No options found in any frame for dropdown'
|
|
# logger.info(msg)
|
|
# return ActionResult(
|
|
# extracted_content=msg, include_in_memory=True, long_term_memory='No dropdown options found'
|
|
# )
|
|
|
|
# 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)
|
|
|
|
# TODO: Refactor to use events instead of direct page/dom access
|
|
# @self.registry.action(
|
|
# description='Select dropdown option or ARIA menu item for interactive element index by the text of the option you want to select',
|
|
# )
|
|
# async def select_dropdown_option(
|
|
# index: int,
|
|
# text: str,
|
|
# browser_session: BrowserSession,
|
|
# ) -> ActionResult:
|
|
# """Select dropdown option or ARIA menu item by the text of the option you want to select"""
|
|
# page = await browser_session.get_current_page()
|
|
# dom_element = await browser_session.get_dom_element_by_index(index)
|
|
# if dom_element is None:
|
|
# raise Exception(f'Element index {index} does not exist - retry or use alternative actions')
|
|
|
|
# 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 check what type of element we're dealing with
|
|
# element_info_js = """
|
|
# (xpath) => {
|
|
# try {
|
|
# const element = document.evaluate(xpath, document, null,
|
|
# XPathResult.FIRST_ORDERED_NODE_TYPE, null).singleNodeValue;
|
|
# if (!element) return null;
|
|
|
|
# const tagName = element.tagName.toLowerCase();
|
|
# const role = element.getAttribute('role');
|
|
|
|
# // Check if it's a native select
|
|
# if (tagName === 'select') {
|
|
# return {
|
|
# type: 'select',
|
|
# found: true,
|
|
# id: element.id,
|
|
# name: element.name,
|
|
# tagName: element.tagName,
|
|
# optionCount: element.options.length,
|
|
# currentValue: element.value,
|
|
# availableOptions: Array.from(element.options).map(o => o.text.trim())
|
|
# };
|
|
# }
|
|
|
|
# // Check if it's an ARIA menu or similar
|
|
# if (role === 'menu' || role === 'listbox' || role === 'combobox') {
|
|
# const menuItems = element.querySelectorAll('[role="menuitem"], [role="option"]');
|
|
# return {
|
|
# type: 'aria',
|
|
# found: true,
|
|
# id: element.id || '',
|
|
# role: role,
|
|
# tagName: element.tagName,
|
|
# itemCount: menuItems.length,
|
|
# availableOptions: Array.from(menuItems).map(item => item.textContent.trim())
|
|
# };
|
|
# }
|
|
|
|
# return {
|
|
# error: `Element is neither a select nor an ARIA menu (tag: ${tagName}, role: ${role})`,
|
|
# found: false
|
|
# };
|
|
# } catch (e) {
|
|
# return {error: e.toString(), found: false};
|
|
# }
|
|
# }
|
|
# """
|
|
|
|
# element_info = await frame.evaluate(element_info_js, dom_element.xpath)
|
|
|
|
# if element_info and element_info.get('found'):
|
|
# logger.debug(f'Found {element_info.get("type")} element in frame {frame_index}: {element_info}')
|
|
|
|
# if element_info.get('type') == 'select':
|
|
# # Handle native select element
|
|
# # "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
|
|
# 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, long_term_memory=f"Selected option '{text}'"
|
|
# )
|
|
|
|
# elif element_info.get('type') == 'aria':
|
|
# # Handle ARIA menu
|
|
# click_aria_item_js = """
|
|
# (params) => {
|
|
# const { xpath, targetText } = params;
|
|
# try {
|
|
# const element = document.evaluate(xpath, document, null,
|
|
# XPathResult.FIRST_ORDERED_NODE_TYPE, null).singleNodeValue;
|
|
# if (!element) return {success: false, error: 'Element not found'};
|
|
|
|
# // Find all menu items
|
|
# const menuItems = element.querySelectorAll('[role="menuitem"], [role="option"]');
|
|
|
|
# for (const item of menuItems) {
|
|
# const itemText = item.textContent.trim();
|
|
# if (itemText === targetText) {
|
|
# // Simulate click on the menu item
|
|
# item.click();
|
|
|
|
# // Also try dispatching a click event in case the click handler needs it
|
|
# const clickEvent = new MouseEvent('click', {
|
|
# view: window,
|
|
# bubbles: true,
|
|
# cancelable: true
|
|
# });
|
|
# item.dispatchEvent(clickEvent);
|
|
|
|
# return {
|
|
# success: true,
|
|
# message: `Clicked menu item: ${targetText}`
|
|
# };
|
|
# }
|
|
# }
|
|
|
|
# return {
|
|
# success: false,
|
|
# error: `Menu item with text '${targetText}' not found`
|
|
# };
|
|
# } catch (e) {
|
|
# return {success: false, error: e.toString()};
|
|
# }
|
|
# }
|
|
# """
|
|
|
|
# result = await frame.evaluate(
|
|
# click_aria_item_js, {'xpath': dom_element.xpath, 'targetText': text}
|
|
# )
|
|
|
|
# if result.get('success'):
|
|
# msg = result.get('message', f'Selected ARIA menu item: {text}')
|
|
# logger.info(msg + f' in frame {frame_index}')
|
|
# return ActionResult(
|
|
# extracted_content=msg,
|
|
# include_in_memory=True,
|
|
# long_term_memory=f"Selected menu item '{text}'",
|
|
# )
|
|
# else:
|
|
# logger.error(f'Failed to select ARIA menu item: {result.get("error")}')
|
|
# continue
|
|
|
|
# elif element_info:
|
|
# logger.error(f'Frame {frame_index} error: {element_info.get("error")}')
|
|
# continue
|
|
|
|
# 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, long_term_memory=msg)
|
|
|
|
# except Exception as e:
|
|
# msg = f'Selection failed: {str(e)}'
|
|
# logger.error(msg)
|
|
# raise BrowserError(msg)
|
|
|
|
# @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:
|
|
result = ActionResult(error=str(e))
|
|
|
|
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()
|