Source code for camel.workforce.single_agent_worker

# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========
# Licensed under the Apache License, Version 2.0 (the “License”);
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an “AS IS” BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========
from __future__ import annotations

import ast
from typing import Any, List

from colorama import Fore

from camel.agents import ChatAgent
from camel.messages.base import BaseMessage
from camel.tasks.task import Task, TaskState
from camel.utils import print_text_animated
from camel.workforce.prompts import PROCESS_TASK_PROMPT
from camel.workforce.utils import TaskResult
from camel.workforce.worker import Worker




class SingleAgentWorker(Worker):
    r"""A worker node that consists of a single agent.

    Args:
        description (str): Description of the node.
        worker (ChatAgent): Worker of the node. A single agent.
    """

    def __init__(
        self,
        description: str,
        worker: ChatAgent,
    ) -> None:
        super().__init__(description)
        self.worker = worker



    def reset(self) -> Any:
        r"""Resets the worker to its initial state."""
        super().reset()
        self.worker.reset()


    async def _process_task(
        self, task: Task, dependencies: List[Task]
    ) -> TaskState:
        r"""Processes a task with its dependencies.

        This method asynchronously processes a given task, considering its
        dependencies, by sending a generated prompt to a worker. It updates
        the task's result based on the agent's response.

        Args:
            task (Task): The task to process, which includes necessary details
                like content and type.
            dependencies (List[Task]): Tasks that the given task depends on.

        Returns:
            TaskState: `TaskState.DONE` if processed successfully, otherwise
                `TaskState.FAILED`.
        """
        dependency_tasks_info = self._get_dep_tasks_info(dependencies)
        prompt = PROCESS_TASK_PROMPT.format(
            content=task.content,
            dependency_tasks_info=dependency_tasks_info,
            additional_info=task.additional_info,
        )
        req = BaseMessage.make_user_message(
            role_name="User",
            content=prompt,
        )
        try:
            response = self.worker.step(req, output_schema=TaskResult)
        except Exception as e:
            print(
                f"{Fore.RED}Error occurred while processing task {task.id}:"
                f"\n{e}{Fore.RESET}"
            )
            return TaskState.FAILED

        print(f"======\n{Fore.GREEN}Reply from {self}:{Fore.RESET}")

        result_dict = ast.literal_eval(response.msg.content)
        task_result = TaskResult(**result_dict)

        if task_result.failed:
            print(
                f"{Fore.RED}{self} failed to process task {task.id}.\n======"
            )
            return TaskState.FAILED

        task.result = task_result.content
        print_text_animated(
            f'\n{Fore.GREEN}{task.result}{Fore.RESET}\n======',
            delay=0.005,
        )
        return TaskState.DONE