ai-agent-book 精选快照(<2MB 代码与文档,来自 github.com/bojieli/ai-agent-book)
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This commit is contained in:
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import importlib.resources
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from datetime import datetime
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from typing import TYPE_CHECKING, Literal, Optional
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from browser_use.dom.views import NodeType, SimplifiedNode
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from browser_use.llm.messages import ContentPartImageParam, ContentPartTextParam, ImageURL, SystemMessage, UserMessage
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from browser_use.observability import observe_debug
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from browser_use.utils import is_new_tab_page
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if TYPE_CHECKING:
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from browser_use.agent.views import AgentStepInfo
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from browser_use.browser.views import BrowserStateSummary
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from browser_use.filesystem.file_system import FileSystem
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class SystemPrompt:
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def __init__(
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self,
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action_description: str,
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max_actions_per_step: int = 10,
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override_system_message: str | None = None,
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extend_system_message: str | None = None,
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use_thinking: bool = True,
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flash_mode: bool = False,
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):
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self.default_action_description = action_description
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self.max_actions_per_step = max_actions_per_step
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self.use_thinking = use_thinking
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self.flash_mode = flash_mode
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prompt = ''
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if override_system_message:
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prompt = override_system_message
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else:
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self._load_prompt_template()
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prompt = self.prompt_template.format(max_actions=self.max_actions_per_step)
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if extend_system_message:
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prompt += f'\n{extend_system_message}'
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self.system_message = SystemMessage(content=prompt, cache=True)
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def _load_prompt_template(self) -> None:
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"""Load the prompt template from the markdown file."""
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try:
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# Choose the appropriate template based on flash_mode and use_thinking settings
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if self.flash_mode:
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template_filename = 'system_prompt_flash.md'
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elif self.use_thinking:
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template_filename = 'system_prompt.md'
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else:
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template_filename = 'system_prompt_no_thinking.md'
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# This works both in development and when installed as a package
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with importlib.resources.files('browser_use.agent').joinpath(template_filename).open('r', encoding='utf-8') as f:
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self.prompt_template = f.read()
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except Exception as e:
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raise RuntimeError(f'Failed to load system prompt template: {e}')
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def get_system_message(self) -> SystemMessage:
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"""
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Get the system prompt for the agent.
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Returns:
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SystemMessage: Formatted system prompt
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"""
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return self.system_message
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# Functions:
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# {self.default_action_description}
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# Example:
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# {self.example_response()}
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# Your AVAILABLE ACTIONS:
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# {self.default_action_description}
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class AgentMessagePrompt:
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vision_detail_level: Literal['auto', 'low', 'high']
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def __init__(
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self,
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browser_state_summary: 'BrowserStateSummary',
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file_system: 'FileSystem',
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agent_history_description: str | None = None,
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read_state_description: str | None = None,
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task: str | None = None,
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include_attributes: list[str] | None = None,
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step_info: Optional['AgentStepInfo'] = None,
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page_filtered_actions: str | None = None,
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max_clickable_elements_length: int = 40000,
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sensitive_data: str | None = None,
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available_file_paths: list[str] | None = None,
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screenshots: list[str] | None = None,
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vision_detail_level: Literal['auto', 'low', 'high'] = 'auto',
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include_recent_events: bool = False,
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sample_images: list[ContentPartTextParam | ContentPartImageParam] | None = None,
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):
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self.browser_state: 'BrowserStateSummary' = browser_state_summary
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self.file_system: 'FileSystem | None' = file_system
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self.agent_history_description: str | None = agent_history_description
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self.read_state_description: str | None = read_state_description
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self.task: str | None = task
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self.include_attributes = include_attributes
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self.step_info = step_info
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self.page_filtered_actions: str | None = page_filtered_actions
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self.max_clickable_elements_length: int = max_clickable_elements_length
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self.sensitive_data: str | None = sensitive_data
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self.available_file_paths: list[str] | None = available_file_paths
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self.screenshots = screenshots or []
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self.vision_detail_level = vision_detail_level
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self.include_recent_events = include_recent_events
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self.sample_images = sample_images or []
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assert self.browser_state
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def _extract_page_statistics(self) -> dict[str, int]:
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"""Extract high-level page statistics from DOM tree for LLM context"""
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stats = {
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'links': 0,
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'iframes': 0,
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'shadow_open': 0,
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'shadow_closed': 0,
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'scroll_containers': 0,
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'images': 0,
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'interactive_elements': 0,
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'total_elements': 0,
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}
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if not self.browser_state.dom_state or not self.browser_state.dom_state._root:
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return stats
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def traverse_node(node: SimplifiedNode) -> None:
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"""Recursively traverse simplified DOM tree to count elements"""
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if not node or not node.original_node:
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return
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original = node.original_node
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stats['total_elements'] += 1
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# Count by node type and tag
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if original.node_type == NodeType.ELEMENT_NODE:
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tag = original.tag_name.lower() if original.tag_name else ''
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if tag == 'a':
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stats['links'] += 1
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elif tag in ('iframe', 'frame'):
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stats['iframes'] += 1
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elif tag == 'img':
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stats['images'] += 1
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# Check if scrollable
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if original.is_actually_scrollable:
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stats['scroll_containers'] += 1
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# Check if interactive
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if node.interactive_index is not None:
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stats['interactive_elements'] += 1
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# Check if this element hosts shadow DOM
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if node.is_shadow_host:
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# Check if any shadow children are closed
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has_closed_shadow = any(
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child.original_node.node_type == NodeType.DOCUMENT_FRAGMENT_NODE
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and child.original_node.shadow_root_type
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and child.original_node.shadow_root_type.lower() == 'closed'
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for child in node.children
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)
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if has_closed_shadow:
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stats['shadow_closed'] += 1
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else:
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stats['shadow_open'] += 1
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elif original.node_type == NodeType.DOCUMENT_FRAGMENT_NODE:
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# Shadow DOM fragment - these are the actual shadow roots
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# But don't double-count since we count them at the host level above
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pass
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# Traverse children
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for child in node.children:
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traverse_node(child)
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traverse_node(self.browser_state.dom_state._root)
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return stats
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@observe_debug(ignore_input=True, ignore_output=True, name='_get_browser_state_description')
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def _get_browser_state_description(self) -> str:
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# Extract page statistics first
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page_stats = self._extract_page_statistics()
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# Format statistics for LLM
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stats_text = '<page_stats>'
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if page_stats['total_elements'] < 10:
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stats_text += 'Page appears empty (SPA not loaded?) - '
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stats_text += f'{page_stats["links"]} links, {page_stats["interactive_elements"]} interactive, '
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stats_text += f'{page_stats["iframes"]} iframes, {page_stats["scroll_containers"]} scroll containers'
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if page_stats['shadow_open'] > 0 or page_stats['shadow_closed'] > 0:
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stats_text += f', {page_stats["shadow_open"]} shadow(open), {page_stats["shadow_closed"]} shadow(closed)'
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if page_stats['images'] > 0:
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stats_text += f', {page_stats["images"]} images'
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stats_text += f', {page_stats["total_elements"]} total elements'
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stats_text += '</page_stats>\n\n'
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elements_text = self.browser_state.dom_state.llm_representation(include_attributes=self.include_attributes)
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if len(elements_text) > self.max_clickable_elements_length:
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elements_text = elements_text[: self.max_clickable_elements_length]
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truncated_text = f' (truncated to {self.max_clickable_elements_length} characters)'
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else:
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truncated_text = ''
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has_content_above = False
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has_content_below = False
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# Enhanced page information for the model
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page_info_text = ''
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if self.browser_state.page_info:
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pi = self.browser_state.page_info
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# Compute page statistics dynamically
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pages_above = pi.pixels_above / pi.viewport_height if pi.viewport_height > 0 else 0
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pages_below = pi.pixels_below / pi.viewport_height if pi.viewport_height > 0 else 0
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has_content_above = pages_above > 0
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has_content_below = pages_below > 0
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total_pages = pi.page_height / pi.viewport_height if pi.viewport_height > 0 else 0
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current_page_position = pi.scroll_y / max(pi.page_height - pi.viewport_height, 1)
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page_info_text = '<page_info>'
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page_info_text += f'{pages_above:.1f} pages above, '
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page_info_text += f'{pages_below:.1f} pages below, '
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page_info_text += f'{total_pages:.1f} total pages'
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page_info_text += '</page_info>\n'
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# , at {current_page_position:.0%} of page
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if elements_text != '':
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if has_content_above:
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if self.browser_state.page_info:
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pi = self.browser_state.page_info
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pages_above = pi.pixels_above / pi.viewport_height if pi.viewport_height > 0 else 0
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elements_text = f'... {pages_above:.1f} pages above - scroll to see more or extract structured data if you are looking for specific information ...\n{elements_text}'
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else:
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elements_text = f'[Start of page]\n{elements_text}'
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if has_content_below:
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if self.browser_state.page_info:
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pi = self.browser_state.page_info
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pages_below = pi.pixels_below / pi.viewport_height if pi.viewport_height > 0 else 0
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elements_text = f'{elements_text}\n... {pages_below:.1f} pages below - scroll to see more or extract structured data if you are looking for specific information ...'
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else:
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elements_text = f'{elements_text}\n[End of page]'
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else:
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elements_text = 'empty page'
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tabs_text = ''
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current_tab_candidates = []
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# Find tabs that match both URL and title to identify current tab more reliably
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for tab in self.browser_state.tabs:
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if tab.url == self.browser_state.url and tab.title == self.browser_state.title:
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current_tab_candidates.append(tab.target_id)
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# If we have exactly one match, mark it as current
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# Otherwise, don't mark any tab as current to avoid confusion
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current_target_id = current_tab_candidates[0] if len(current_tab_candidates) == 1 else None
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for tab in self.browser_state.tabs:
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tabs_text += f'Tab {tab.target_id[-4:]}: {tab.url} - {tab.title[:30]}\n'
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current_tab_text = f'Current tab: {current_target_id[-4:]}' if current_target_id is not None else ''
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# Check if current page is a PDF viewer and add appropriate message
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pdf_message = ''
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if self.browser_state.is_pdf_viewer:
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pdf_message = 'PDF viewer cannot be rendered. In this page, DO NOT use the extract_structured_data action as PDF content cannot be rendered. Use the read_file action on the downloaded PDF in available_file_paths to read the full content.\n\n'
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# Add recent events if available and requested
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recent_events_text = ''
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if self.include_recent_events and self.browser_state.recent_events:
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recent_events_text = f'Recent browser events: {self.browser_state.recent_events}\n'
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browser_state = f"""{stats_text}{current_tab_text}
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Available tabs:
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{tabs_text}
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{page_info_text}
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{recent_events_text}{pdf_message}Elements you can interact with inside the viewport{truncated_text}:
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{elements_text}
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"""
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return browser_state
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def _get_agent_state_description(self) -> str:
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if self.step_info:
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step_info_description = f'Step {self.step_info.step_number + 1}. Maximum steps: {self.step_info.max_steps}\n'
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else:
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step_info_description = ''
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time_str = datetime.now().strftime('%Y-%m-%d')
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step_info_description += f'Current date: {time_str}'
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_todo_contents = self.file_system.get_todo_contents() if self.file_system else ''
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if not len(_todo_contents):
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_todo_contents = '[Current todo.md is empty, fill it with your plan when applicable]'
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agent_state = f"""
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<user_request>
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{self.task}
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</user_request>
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<file_system>
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{self.file_system.describe() if self.file_system else 'No file system available'}
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</file_system>
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<todo_contents>
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{_todo_contents}
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</todo_contents>
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"""
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if self.sensitive_data:
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agent_state += f'<sensitive_data>\n{self.sensitive_data}\n</sensitive_data>\n'
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agent_state += f'<step_info>\n{step_info_description}\n</step_info>\n'
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if self.available_file_paths:
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available_file_paths_text = '\n'.join(self.available_file_paths)
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agent_state += f'<available_file_paths>\n{available_file_paths_text}\nUse absolute full paths when referencing these files.\n</available_file_paths>\n'
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return agent_state
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@observe_debug(ignore_input=True, ignore_output=True, name='get_user_message')
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def get_user_message(self, use_vision: bool = True) -> UserMessage:
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"""Get complete state as a single cached message"""
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# Don't pass screenshot to model if page is a new tab page, step is 0, and there's only one tab
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if (
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is_new_tab_page(self.browser_state.url)
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and self.step_info is not None
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and self.step_info.step_number == 0
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and len(self.browser_state.tabs) == 1
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):
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use_vision = False
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# Build complete state description
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state_description = (
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'<agent_history>\n'
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+ (self.agent_history_description.strip('\n') if self.agent_history_description else '')
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+ '\n</agent_history>\n\n'
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)
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state_description += '<agent_state>\n' + self._get_agent_state_description().strip('\n') + '\n</agent_state>\n'
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state_description += '<browser_state>\n' + self._get_browser_state_description().strip('\n') + '\n</browser_state>\n'
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# Only add read_state if it has content
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read_state_description = self.read_state_description.strip('\n').strip() if self.read_state_description else ''
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if read_state_description:
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state_description += '<read_state>\n' + read_state_description + '\n</read_state>\n'
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if self.page_filtered_actions:
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state_description += '<page_specific_actions>\n'
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state_description += self.page_filtered_actions + '\n'
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state_description += '</page_specific_actions>\n'
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if use_vision is True and self.screenshots:
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# Start with text description
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content_parts: list[ContentPartTextParam | ContentPartImageParam] = [ContentPartTextParam(text=state_description)]
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# Add sample images
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content_parts.extend(self.sample_images)
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# Add screenshots with labels
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for i, screenshot in enumerate(self.screenshots):
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if i == len(self.screenshots) - 1:
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label = 'Current screenshot:'
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else:
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# Use simple, accurate labeling since we don't have actual step timing info
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label = 'Previous screenshot:'
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# Add label as text content
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content_parts.append(ContentPartTextParam(text=label))
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# Add the screenshot
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content_parts.append(
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ContentPartImageParam(
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image_url=ImageURL(
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url=f'data:image/png;base64,{screenshot}',
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media_type='image/png',
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detail=self.vision_detail_level,
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),
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)
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)
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return UserMessage(content=content_parts, cache=True)
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return UserMessage(content=state_description, cache=True)
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