# -*- coding: utf-8 -*- # @Time : 2025/1/2 # @Author : wenshao # @ProjectName: browser-use-webui # @FileName: custom_massage_manager.py from __future__ import annotations import logging from datetime import datetime from typing import List, Optional, Type from langchain_anthropic import ChatAnthropic from langchain_core.language_models import BaseChatModel from langchain_core.messages import ( AIMessage, BaseMessage, HumanMessage, ) from langchain_openai import ChatOpenAI from browser_use.agent.message_manager.views import MessageHistory, MessageMetadata from browser_use.agent.prompts import AgentMessagePrompt, SystemPrompt from browser_use.agent.views import ActionResult, AgentOutput, AgentStepInfo from browser_use.browser.views import BrowserState from browser_use.agent.message_manager.service import MessageManager from .custom_prompts import CustomAgentMessagePrompt logger = logging.getLogger(__name__) class CustomMassageManager(MessageManager): def __init__( self, llm: BaseChatModel, task: str, action_descriptions: str, system_prompt_class: Type[SystemPrompt], max_input_tokens: int = 128000, estimated_tokens_per_character: int = 3, image_tokens: int = 800, include_attributes: list[str] = [], max_error_length: int = 400, max_actions_per_step: int = 10, ): super().__init__(llm, task, action_descriptions, system_prompt_class, max_input_tokens, estimated_tokens_per_character, image_tokens, include_attributes, max_error_length, max_actions_per_step) # Move Task info to state_message self.history = MessageHistory() self._add_message_with_tokens(self.system_prompt) def add_state_message( self, state: BrowserState, result: Optional[List[ActionResult]] = None, step_info: Optional[AgentStepInfo] = None, ) -> None: """Add browser state as human message""" # if keep in memory, add to directly to history and add state without result if result: for r in result: if r.include_in_memory: if r.extracted_content: msg = HumanMessage(content=str(r.extracted_content)) self._add_message_with_tokens(msg) if r.error: msg = HumanMessage(content=str(r.error)[-self.max_error_length:]) self._add_message_with_tokens(msg) result = None # if result in history, we dont want to add it again # otherwise add state message and result to next message (which will not stay in memory) state_message = CustomAgentMessagePrompt( state, result, include_attributes=self.include_attributes, max_error_length=self.max_error_length, step_info=step_info, ).get_user_message() self._add_message_with_tokens(state_message)