from dataclasses import dataclass from typing import Any, Dict, List, Literal, Optional, Type import uuid from browser_use.agent.views import AgentOutput, AgentState, ActionResult, AgentHistoryList, MessageManagerState from browser_use.controller.registry.views import ActionModel from pydantic import BaseModel, ConfigDict, Field, create_model @dataclass class CustomAgentStepInfo: step_number: int max_steps: int task: str add_infos: str memory: str class CustomAgentBrain(BaseModel): """Current state of the agent""" evaluation_previous_goal: str important_contents: str thought: str next_goal: str class CustomAgentOutput(AgentOutput): """Output model for agent @dev note: this model is extended with custom actions in AgentService. You can also use some fields that are not in this model as provided by the linter, as long as they are registered in the DynamicActions model. """ current_state: CustomAgentBrain @staticmethod def type_with_custom_actions( custom_actions: Type[ActionModel], ) -> Type["CustomAgentOutput"]: """Extend actions with custom actions""" model_ = create_model( "CustomAgentOutput", __base__=CustomAgentOutput, action=( list[custom_actions], Field(..., description='List of actions to execute', json_schema_extra={'min_items': 1}), ), # Properly annotated field with no default __module__=CustomAgentOutput.__module__, ) model_.__doc__ = 'AgentOutput model with custom actions' return model_ class CustomAgentState(BaseModel): agent_id: str = Field(default_factory=lambda: str(uuid.uuid4())) n_steps: int = 1 consecutive_failures: int = 0 last_result: Optional[List['ActionResult']] = None history: AgentHistoryList = Field(default_factory=lambda: AgentHistoryList(history=[])) last_plan: Optional[str] = None paused: bool = False stopped: bool = False message_manager_state: MessageManagerState = Field(default_factory=MessageManagerState) last_action: Optional[List['ActionModel']] = None extracted_content: str = ''