From 5f025ca4ba65a113c6e5314f37661b3bcbbd349d Mon Sep 17 00:00:00 2001 From: zjrwtx <3038880699@qq.com> Date: Tue, 11 Mar 2025 14:49:55 +0800 Subject: [PATCH] add write_files --- owl/run_write_files.py | 144 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 144 insertions(+) create mode 100644 owl/run_write_files.py diff --git a/owl/run_write_files.py b/owl/run_write_files.py new file mode 100644 index 0000000..0fc4c11 --- /dev/null +++ b/owl/run_write_files.py @@ -0,0 +1,144 @@ +# ========= Copyright 2023-2024 @ 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 2023-2024 @ CAMEL-AI.org. All Rights Reserved. ========= +from dotenv import load_dotenv +from camel.models import ModelFactory +import os +from camel.toolkits import ( + AudioAnalysisToolkit, + CodeExecutionToolkit, + ExcelToolkit, + ImageAnalysisToolkit, + SearchToolkit, + VideoAnalysisToolkit, + FileWriteToolkit, + WebToolkit, +) +from camel.types import ModelPlatformType, ModelType +from camel.logger import set_log_level + +from utils import OwlRolePlaying, run_society, DocumentProcessingToolkit + +load_dotenv() + +set_log_level(level="DEBUG") + + +def construct_society(question: str) -> OwlRolePlaying: + r"""Construct a society of agents based on the given question. + + Args: + question (str): The task or question to be addressed by the society. + + Returns: + OwlRolePlaying: A configured society of agents ready to address the question. + """ + + # Create models for different components + models = { + "user": ModelFactory.create( + model_platform=ModelPlatformType.OPENAI, + model_type=ModelType.GPT_4O, + model_config_dict={"temperature": 0}, + ), + "assistant": ModelFactory.create( + model_platform=ModelPlatformType.OPENAI, + model_type=ModelType.GPT_4O, + model_config_dict={"temperature": 0}, + ), + "web": ModelFactory.create( + model_platform=ModelPlatformType.OPENAI, + model_type=ModelType.GPT_4O, + model_config_dict={"temperature": 0}, + ), + "planning": ModelFactory.create( + model_platform=ModelPlatformType.OPENAI, + model_type=ModelType.GPT_4O, + model_config_dict={"temperature": 0}, + ), + "video": ModelFactory.create( + model_platform=ModelPlatformType.OPENAI, + model_type=ModelType.GPT_4O, + model_config_dict={"temperature": 0}, + ), + "image": ModelFactory.create( + model_platform=ModelPlatformType.OPENAI, + model_type=ModelType.GPT_4O, + model_config_dict={"temperature": 0}, + ), + "document": ModelFactory.create( + model_platform=ModelPlatformType.OPENAI, + model_type=ModelType.GPT_4O, + model_config_dict={"temperature": 0}, + ), + } + output_dir = "./file_write_outputs" + os.makedirs(output_dir, exist_ok=True) + + # Initialize the FileWriteToolkit with the output directory + file_toolkit = FileWriteToolkit(output_dir=output_dir) + + # Configure toolkits + tools = [ + *file_toolkit.get_tools(), + *WebToolkit( + headless=False, # Set to True for headless mode (e.g., on remote servers) + web_agent_model=models["web"], + planning_agent_model=models["planning"], + ).get_tools(), + *VideoAnalysisToolkit(model=models["video"]).get_tools(), + *AudioAnalysisToolkit().get_tools(), # This requires OpenAI Key + *CodeExecutionToolkit(sandbox="subprocess", verbose=True).get_tools(), + *ImageAnalysisToolkit(model=models["image"]).get_tools(), + SearchToolkit().search_duckduckgo, + SearchToolkit().search_google, # Comment this out if you don't have google search + SearchToolkit().search_wiki, + *ExcelToolkit().get_tools(), + *DocumentProcessingToolkit(model=models["document"]).get_tools(), + ] + + # Configure agent roles and parameters + user_agent_kwargs = {"model": models["user"]} + assistant_agent_kwargs = {"model": models["assistant"], "tools": tools} + + # Configure task parameters + task_kwargs = { + "task_prompt": question, + "with_task_specify": False, + } + + # Create and return the society + society = OwlRolePlaying( + **task_kwargs, + user_role_name="user", + user_agent_kwargs=user_agent_kwargs, + assistant_role_name="assistant", + assistant_agent_kwargs=assistant_agent_kwargs, + ) + + return society + + +def main(): + r"""Main function to run the OWL system with an example question.""" + # Example research question + question ="""请使用文件写入工具生成一个Python脚本,创建一个简单的Flask网络服务器,并将其保存到file_write_outputs目录中的flask_server.py文件。脚本应该包含基本的路由和启动服务器的代码。""" + # Construct and run the society + society = construct_society(question) + answer, chat_history, token_count = run_society(society) + + # Output the result + print(f"\033[94mAnswer: {answer}\033[0m") + +if __name__ == "__main__": + main()