OpenHands/opendevin/controller/agent_controller.py

import asyncio
from typing import Optional, Type

from agenthub.codeact_agent.codeact_agent import CodeActAgent
from opendevin.controller.agent import Agent
from opendevin.controller.state.state import State
from opendevin.core.config import config
from opendevin.core.exceptions import (
    AgentMalformedActionError,
    AgentNoActionError,
    LLMOutputError,
    MaxCharsExceedError,
)
from opendevin.core.logger import opendevin_logger as logger
from opendevin.core.schema import AgentState
from opendevin.events.action import (
    Action,
    AddTaskAction,
    AgentDelegateAction,
    AgentFinishAction,
    ChangeAgentStateAction,
    MessageAction,
    ModifyTaskAction,
    NullAction,
)
from opendevin.events.event import Event
from opendevin.events.observation import (
    AgentDelegateObservation,
    AgentStateChangedObservation,
    ErrorObservation,
    NullObservation,
    Observation,
)
from opendevin.events.stream import EventSource, EventStream, EventStreamSubscriber
from opendevin.runtime import DockerSSHBox, Sandbox
from opendevin.runtime.runtime import Runtime
from opendevin.runtime.server.runtime import ServerRuntime

MAX_ITERATIONS = config.max_iterations
MAX_CHARS = config.llm.max_chars


class AgentController:
    id: str
    agent: Agent
    max_iterations: int
    runtime: Runtime
    event_stream: EventStream
    state: State
    agent_task: Optional[asyncio.Task] = None
    delegate: 'AgentController | None' = None
    _agent_state: AgentState = AgentState.LOADING
    _cur_step: int = 0

    def __init__(
        self,
        agent: Agent,
        event_stream: EventStream,
        sid: str = 'default',
        max_iterations: int = MAX_ITERATIONS,
        max_chars: int = MAX_CHARS,
        inputs: dict | None = None,
        sandbox: Optional[Sandbox] = None,
        remind_iterations: bool = config.remind_iterations,
    ):
        """Initializes a new instance of the AgentController class.

        Args:
            agent: The agent instance to control.
            event_stream: The event stream to publish events to.
            sid: The session ID of the agent.
            max_iterations: The maximum number of iterations the agent can run.
            max_chars: The maximum number of characters the agent can output.
            inputs: The initial inputs to the agent.
            sandbox: An optional initialized sandbox to run the agent in. If not provided, a default sandbox will be created based on config.
            remind_iterations: A boolean value indicating whether to remind the agent its remaining budget of interaction.
        """
        self.id = sid
        self.agent = agent
        self.state = State(inputs=inputs or {})
        self.event_stream = event_stream
        self.event_stream.subscribe(
            EventStreamSubscriber.AGENT_CONTROLLER, self.on_event
        )
        self.max_iterations = max_iterations

        self.remind_iterations = remind_iterations
        if self.remind_iterations:
            logger.info(
                'Iteration reminder is ENABLED: agent will be reminded of remaining turns.'
            )
        self.runtime = ServerRuntime(sandbox=sandbox, sid=self.id)
        self.max_chars = max_chars

        # Initialize agent-required plugins for sandbox (if any)
        self.runtime.init_sandbox_plugins(agent.sandbox_plugins)

        if isinstance(agent, CodeActAgent) and not isinstance(
            self.runtime.sandbox, DockerSSHBox
        ):
            logger.warning(
                'CodeActAgent requires DockerSSHBox as sandbox! Using other sandbox that are not stateful (LocalBox, DockerExecBox) will not work properly.'
            )

    async def close(self):
        if self.agent_task is not None:
            self.agent_task.cancel()
        self.event_stream.unsubscribe(EventStreamSubscriber.AGENT_CONTROLLER)
        self.runtime.sandbox.close()
        self.runtime.browser.close()
        await self.set_agent_state_to(AgentState.STOPPED)

    def update_state_for_step(self, i):
        self.state.iteration = i
        self.state.background_commands_obs = self.runtime.get_background_obs()

    def update_state_after_step(self):
        self.state.updated_info = []

    async def add_error_to_history(self, message: str):
        await self.add_history(NullAction(), ErrorObservation(message))

    async def add_history(
        self, action: Action, observation: Observation, add_to_stream=True
    ):
        if not isinstance(action, Action):
            raise TypeError(
                f'action must be an instance of Action, got {type(action).__name__} instead'
            )
        if not isinstance(observation, Observation):
            raise TypeError(
                f'observation must be an instance of Observation, got {type(observation).__name__} instead'
            )
        self.state.history.append((action, observation))
        self.state.updated_info.append((action, observation))
        if add_to_stream:
            await self.event_stream.add_event(action, EventSource.AGENT)
            await self.event_stream.add_event(observation, EventSource.AGENT)

    async def _run(self):
        if self._agent_state != AgentState.RUNNING:
            raise ValueError('Task is not in running state')

        for i in range(self._cur_step, self.max_iterations):
            self._cur_step = i
            try:
                finished = await self.step(i)
                if finished:
                    await self.set_agent_state_to(AgentState.FINISHED)
                    break
            except Exception:
                logger.error('Error in loop', exc_info=True)
                await self.set_agent_state_to(AgentState.ERROR)
                await self.add_error_to_history(
                    'Oops! Something went wrong while completing your task. You can check the logs for more info.'
                )
                break

            if self._is_stuck():
                logger.info('Loop detected, stopping task')
                await self.set_agent_state_to(AgentState.ERROR)
                await self.add_error_to_history(
                    'I got stuck into a loop, the task has stopped.'
                )
                break
            await asyncio.sleep(
                0.001
            )  # Give back control for a tick, so other async stuff can run
        final_state = self.get_agent_state()
        if final_state == AgentState.RUNNING:
            await self.set_agent_state_to(AgentState.PAUSED)

    async def on_event(self, event: Event):
        if isinstance(event, ChangeAgentStateAction):
            await self.set_agent_state_to(event.agent_state)  # type: ignore
        elif isinstance(event, MessageAction) and event.source == EventSource.USER:
            await self.add_history(event, NullObservation(''), add_to_stream=False)
            if self.get_agent_state() != AgentState.RUNNING:
                await self.set_agent_state_to(AgentState.RUNNING)

    async def reset_task(self):
        if self.agent_task is not None:
            self.agent_task.cancel()
        self.state = State()
        self._cur_step = 0
        self.agent.reset()

    async def set_agent_state_to(self, new_state: AgentState):
        logger.info(
            f'Setting agent({type(self.agent).__name__}) state from {self._agent_state} to {new_state}'
        )
        if new_state == self._agent_state:
            return

        self._agent_state = new_state
        if new_state == AgentState.RUNNING:
            self.agent_task = asyncio.create_task(self._run())
        elif (
            new_state == AgentState.PAUSED
            or new_state == AgentState.AWAITING_USER_INPUT
        ):
            self._cur_step += 1
            if self.agent_task is not None:
                self.agent_task.cancel()
        elif new_state == AgentState.STOPPED or new_state == AgentState.ERROR:
            await self.reset_task()

        await self.event_stream.add_event(
            AgentStateChangedObservation('', self._agent_state), EventSource.AGENT
        )

    def get_agent_state(self):
        """Returns the current state of the agent task."""
        return self._agent_state

    async def start_delegate(self, action: AgentDelegateAction):
        AgentCls: Type[Agent] = Agent.get_cls(action.agent)
        agent = AgentCls(llm=self.agent.llm)
        self.delegate = AgentController(
            sid=self.id + '-delegate',
            agent=agent,
            event_stream=self.event_stream,
            max_iterations=self.max_iterations,
            max_chars=self.max_chars,
            inputs=action.inputs,
        )

    def add_iteration_reminder_when_needed(self, i: int, obs: Observation):
        """Add iteration reminder to the observation if needed.

        Args:
            i: The current iteration number (0-indexed).
            obs: The observation to add the reminder to.
        """
        if self.remind_iterations:
            obs.content += f'\n\nENVIRONMENT REMINDER: You have {self.max_iterations - i - 1} turns left to complete the task.'
        return obs

    async def step(self, i: int) -> bool:
        if self.delegate is not None:
            delegate_done = await self.delegate.step(i)
            if delegate_done:
                outputs = self.delegate.state.outputs if self.delegate.state else {}
                obs: Observation = AgentDelegateObservation(content='', outputs=outputs)
                await self.add_history(NullAction(), obs)
                self.delegate = None
                self.delegateAction = None
            return False

        logger.info(f'STEP {i}', extra={'msg_type': 'STEP'})
        if self.state.num_of_chars > self.max_chars:
            raise MaxCharsExceedError(self.state.num_of_chars, self.max_chars)

        log_obs = self.runtime.get_background_obs()
        for obs in log_obs:
            await self.add_history(NullAction(), obs)
            logger.info(obs, extra={'msg_type': 'BACKGROUND LOG'})

        self.update_state_for_step(i)
        action: Action = NullAction()
        observation: Observation = NullObservation('')
        try:
            action = self.agent.step(self.state)
            if action is None:
                raise AgentNoActionError('No action was returned')
        except (AgentMalformedActionError, AgentNoActionError, LLMOutputError) as e:
            observation = ErrorObservation(str(e))
        logger.info(action, extra={'msg_type': 'ACTION'})

        self.update_state_after_step()

        if isinstance(action, AgentFinishAction):
            self.state.outputs = action.outputs  # type: ignore[attr-defined]
            logger.info(action, extra={'msg_type': 'INFO'})
            await self.add_history(action, NullObservation(''))
            return True
        elif isinstance(action, MessageAction) and action.wait_for_response:
            # FIXME: remove this once history is managed outside the agent controller
            await self.add_history(action, NullObservation(''))
            await self.set_agent_state_to(AgentState.AWAITING_USER_INPUT)
            return False
        elif isinstance(action, AgentDelegateAction):
            await self.start_delegate(action)
        elif isinstance(action, AddTaskAction):
            self.state.root_task.add_subtask(
                action.parent, action.goal, action.subtasks
            )
        elif isinstance(action, ModifyTaskAction):
            self.state.root_task.set_subtask_state(action.id, action.state)
        elif not isinstance(observation, ErrorObservation):
            observation = await self.runtime.run_action(action)

        observation = self.add_iteration_reminder_when_needed(i, observation)
        if not isinstance(observation, NullObservation):
            logger.info(observation, extra={'msg_type': 'OBSERVATION'})
        await self.add_history(action, observation)
        return False

    def get_state(self):
        return self.state

    def _is_stuck(self):
        # check if delegate stuck
        if self.delegate and self.delegate._is_stuck():
            return True
        if len(self.state.history) < 3:
            return False

        # if the last three (Action, Observation) tuples are too repetitive
        # the agent got stuck in a loop
        if all(
            [
                self.state.history[-i][0] == self.state.history[-3][0]
                for i in range(1, 3)
            ]
        ):
            # it repeats same action, give it a chance, but not if:
            if all(
                isinstance(self.state.history[-i][1], NullObservation)
                for i in range(1, 4)
            ):
                # same (Action, NullObservation): like 'think' the same thought over and over
                logger.debug('Action, NullObservation loop detected')
                return True
            elif all(
                isinstance(self.state.history[-i][1], ErrorObservation)
                for i in range(1, 4)
            ):
                # (NullAction, ErrorObservation): errors coming from an exception
                # (Action, ErrorObservation): the same action getting an error, even if not necessarily the same error
                logger.debug('Action, ErrorObservation loop detected')
                return True

        return False