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130 lines
4.5 KiB
Python
130 lines
4.5 KiB
Python
from dotenv import load_dotenv
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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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CodeExecutionToolkit,
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DocumentProcessingToolkit,
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ExcelToolkit,
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ImageAnalysisToolkit,
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SearchToolkit,
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WebToolkit,
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)
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from camel.types import ModelPlatformType, ModelType
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from utils import OwlRolePlaying, run_society
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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 question.
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"""
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# Create models for different components
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models = {
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"user": ModelFactory.create(
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model_platform=ModelPlatformType.OPENAI_COMPATIBLE_MODEL,
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model_type="qwen-max",
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api_key=os.getenv("QWEN_API_KEY"),
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url="https://dashscope.aliyuncs.com/compatible-mode/v1",
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model_config_dict={"temperature": 0.4, "max_tokens": 4096},
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),
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"assistant": ModelFactory.create(
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model_platform=ModelPlatformType.OPENAI_COMPATIBLE_MODEL,
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model_type="qwen-max",
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api_key=os.getenv("QWEN_API_KEY"),
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url="https://dashscope.aliyuncs.com/compatible-mode/v1",
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model_config_dict={"temperature": 0.4, "max_tokens": 4096},
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),
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"web": ModelFactory.create(
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model_platform=ModelPlatformType.OPENAI_COMPATIBLE_MODEL,
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model_type="qwen-vl-max",
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api_key=os.getenv("QWEN_API_KEY"),
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url="https://dashscope.aliyuncs.com/compatible-mode/v1",
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model_config_dict={"temperature": 0.4, "max_tokens": 4096},
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),
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"planning": ModelFactory.create(
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model_platform=ModelPlatformType.OPENAI_COMPATIBLE_MODEL,
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model_type="qwen-max",
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api_key=os.getenv("QWEN_API_KEY"),
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url="https://dashscope.aliyuncs.com/compatible-mode/v1",
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model_config_dict={"temperature": 0.4, "max_tokens": 4096},
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),
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"image": ModelFactory.create(
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model_platform=ModelPlatformType.OPENAI_COMPATIBLE_MODEL,
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model_type="qwen-vl-max",
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api_key=os.getenv("QWEN_API_KEY"),
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url="https://dashscope.aliyuncs.com/compatible-mode/v1",
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model_config_dict={"temperature": 0.4, "max_tokens": 4096},
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),
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"search": ModelFactory.create(
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model_platform=ModelPlatformType.OPENAI_COMPATIBLE_MODEL,
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model_type="qwen-max",
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api_key=os.getenv("QWEN_API_KEY"),
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url="https://dashscope.aliyuncs.com/compatible-mode/v1",
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model_config_dict={"temperature": 0.4, "max_tokens": 4096},
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),
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}
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# Configure toolkits
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tools = [
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*WebToolkit(
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headless=False, # Set to True for headless mode (e.g., on remote servers)
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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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*DocumentProcessingToolkit().get_tools(),
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*CodeExecutionToolkit(sandbox="subprocess", verbose=True).get_tools(),
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*ImageAnalysisToolkit(model=models["image"]).get_tools(),
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*SearchToolkit(model=models["search"]).get_tools(),
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*ExcelToolkit().get_tools(),
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]
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# Configure agent roles and parameters
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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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# Configure task parameters
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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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# Create and return the society
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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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# Example research question
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question = (
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"What was the volume in m^3 of the fish bag that was calculated in "
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"the University of Leicester paper `Can Hiccup Supply Enough Fish "
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"to Maintain a Dragon's Diet?`"
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)
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# Construct and run the society
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society = construct_society(question)
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answer, chat_history, token_count = run_society(society)
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# Output the result
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print(f"Answer: {answer}")
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if __name__ == "__main__":
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main()
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