OASIS Environment：让多智能体模拟超越沙盒走向现实！

export OPENAI_API_KEY=<insert your OpenAI API key>  # For Bashset OPENAI_API_KEY=<insert your OpenAI API key>  # For Windows

import asyncioimport osfrom camel.models import ModelFactoryfrom camel.types import ModelPlatformType, ModelTypeimport oasisfrom oasis import (ActionType, AgentGraph, LLMAction, ManualAction,                   SocialAgent, UserInfo)async def main():    # Define the model for the agents    openai_model = ModelFactory.create(        model_platform=ModelPlatformType.OPENAI,        model_type=ModelType.GPT_4O_MINI,    )    # Define the available actions for the agents    available_actions = [        ActionType.LIKE_POST,        ActionType.CREATE_POST,        ActionType.CREATE_COMMENT,        ActionType.FOLLOW,    ]    # initialize the agent graph    agent_graph = AgentGraph()    # initialize the agent alice and add it to the agent graph    agent_alice = SocialAgent(        agent_id=0,        user_info=UserInfo(            user_name="alice",            name="Alice",            description="A tech enthusiast and a fan of OASIS",            profile=None,            recsys_type="reddit",        ),        agent_graph=agent_graph,        model=openai_model,        available_actions=available_actions,    )    agent_graph.add_agent(agent_alice)    # initialize the agent bob and add it to the agent graph    agent_bob = SocialAgent(        agent_id=1,        user_info=UserInfo(            user_name="bob",            name="Bob",            description=("A researcher of using OASIS to research "                         "the social behavior of users"),            profile=None,            recsys_type="reddit",        ),        agent_graph=agent_graph,        model=openai_model,        available_actions=available_actions,    )    agent_graph.add_agent(agent_bob)    # Define the path to the database    db_path = "./reddit_simulation.db"    # Delete the old database    if os.path.exists(db_path):        os.remove(db_path)    # Make the environment    env = oasis.make(        agent_graph=agent_graph,        platform=oasis.DefaultPlatformType.REDDIT,        database_path=db_path,    )    # Run the environment    await env.reset()    # Define a manual action for the agent alice to create a post    action_hello = {        env.agent_graph.get_agent(0): [            ManualAction(action_type=ActionType.CREATE_POST,                         action_args={"content": "Hello, OASIS World!"})        ]    }    # Run the manual action    await env.step(action_hello)    # Define the LLM actions for all agents    all_agents_llm_actions = {        agent: LLMAction()        for _, agent in env.agent_graph.get_agents()    }    # Run the LLM actions    await env.step(all_agents_llm_actions)    # Close the environment    await env.close()if __name__ == "__main__":    asyncio.run(main())

Agent 1 performed action: create_comment with args: {'post_id': 1, 'content': 'Hey there! Excited to be a part of the OASIS World community! 🌍✨'}Agent 0 performed action: create_comment with args: {'post_id': 1, 'content': 'Hi there! Excited to be part of this community. What are some of your favorite topics to discuss?'}

from camel.toolkits import SearchToolkitfrom oasis import SocialAgent, UserInfo, ActionTypesearch_agent = SocialAgent(		agent_id=1,		user_info=UserInfo(		    user_name="bubble",		    name="Bob",		    description="A boy",		    profile=None,		    recsys_type="reddit",		),		tools=[SearchToolkit().search_duckduckgo],		agent_graph=agent_graph,		model=openai_model,		available_actions=[ActionType.CREATE_COMMENT],		single_iteration=False)