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from dotenv import load_dotenv
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import os
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from camel.models import ModelFactory
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from camel.toolkits import (
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SearchToolkit,
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WebToolkit,
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FileWriteToolkit,
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TerminalToolkit
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)
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from camel.types import ModelPlatformType, ModelType
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from camel.logger import set_log_level
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from utils import OwlRolePlaying, run_society
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load_dotenv()
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set_log_level(level="DEBUG")
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base_dir = os.path.dirname(os.path.abspath(__file__))
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def construct_society(question: str) -> OwlRolePlaying:
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r"""Construct a society of agents based on the given question.
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Args:
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question (str): The task or question to be addressed by the society.
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Returns:
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OwlRolePlaying: A configured society of agents ready to address the
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question.
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"""
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models = {
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"user": ModelFactory.create(
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model_platform=ModelPlatformType.OPENAI,
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model_type=ModelType.GPT_4O,
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model_config_dict={"temperature": 0},
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),
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"assistant": ModelFactory.create(
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model_platform=ModelPlatformType.OPENAI,
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model_type=ModelType.GPT_4O,
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model_config_dict={"temperature": 0},
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),
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"web": ModelFactory.create(
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model_platform=ModelPlatformType.OPENAI,
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model_type=ModelType.GPT_4O,
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model_config_dict={"temperature": 0},
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),
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"planning": ModelFactory.create(
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model_platform=ModelPlatformType.OPENAI,
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model_type=ModelType.GPT_4O,
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model_config_dict={"temperature": 0},
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),
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}
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tools = [
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*WebToolkit(
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headless=False,
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web_agent_model=models["web"],
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planning_agent_model=models["planning"],
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).get_tools(),
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SearchToolkit().search_duckduckgo,
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SearchToolkit().search_wiki,
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*FileWriteToolkit(output_dir="./").get_tools(),
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*TerminalToolkit().get_tools(),
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]
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user_agent_kwargs = {"model": models["user"]}
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assistant_agent_kwargs = {"model": models["assistant"], "tools": tools}
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task_kwargs = {
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"task_prompt": question,
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"with_task_specify": False,
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}
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society = OwlRolePlaying(
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**task_kwargs,
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user_role_name="user",
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user_agent_kwargs=user_agent_kwargs,
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assistant_role_name="assistant",
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assistant_agent_kwargs=assistant_agent_kwargs,
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)
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return society
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def main():
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r"""Main function to run the OWL system with an example question."""
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question = f"""Open Google Search, summarize the number of GitHub stars, forks, etc., of the camel framework of camel-ai,
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and write the numbers into a Python file using the plot package,
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save it to "+{os.path.join(base_dir, 'final_output')}+",
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and execute the Python file with the local terminal to display the graph for me."""
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society = construct_society(question)
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answer, chat_history, token_count = run_society(society)
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print(f"\033[94mAnswer: {answer}\nChat History: {chat_history}\ntoken_count:{token_count}\033[0m")
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if __name__ == "__main__":
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main()
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