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# -*- 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 typing import List, Optional, Type
from browser_use.agent.message_manager.service import MessageManager
from browser_use.agent.message_manager.views import MessageHistory
from browser_use.agent.prompts import SystemPrompt
from browser_use.agent.views import ActionResult, AgentStepInfo
from browser_use.browser.views import BrowserState
from langchain_core.language_models import BaseChatModel
from langchain_core.messages import (
HumanMessage,
AIMessage
)
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,
tool_call_in_content: bool = False,
):
super().__init__(
llm=llm,
task=task,
action_descriptions=action_descriptions,
system_prompt_class=system_prompt_class,
max_input_tokens=max_input_tokens,
estimated_tokens_per_character=estimated_tokens_per_character,
image_tokens=image_tokens,
include_attributes=include_attributes,
max_error_length=max_error_length,
max_actions_per_step=max_actions_per_step,
tool_call_in_content=tool_call_in_content,
)
# Custom: Move Task info to state_message
self.history = MessageHistory()
self._add_message_with_tokens(self.system_prompt)
tool_calls = [
{
'name': 'CustomAgentOutput',
'args': {
'current_state': {
'prev_action_evaluation': 'Unknown - No previous actions to evaluate.',
'important_contents': '',
'completed_contents': '',
'thought': 'Now Google is open. Need to type OpenAI to search.',
'summary': 'Type OpenAI to search.',
},
'action': [],
},
'id': '',
'type': 'tool_call',
}
]
if self.tool_call_in_content:
# openai throws error if tool_calls are not responded -> move to content
example_tool_call = AIMessage(
content=f'{tool_calls}',
tool_calls=[],
)
else:
example_tool_call = AIMessage(
content=f'',
tool_calls=tool_calls,
)
self._add_message_with_tokens(example_tool_call)
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)
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