my_agent_test2/my_agent_test2.py

import os
import asyncio


from agentscope.agent import ReActAgent, UserAgent
from agentscope.formatter import OpenAIChatFormatter
from agentscope.memory import InMemoryMemory
from agentscope.model import OpenAIChatModel
from agentscope.tool import ToolResponse, Toolkit, execute_python_code
from agentscope.message import ImageBlock, Msg, TextBlock, URLSource

LLAMA_CPP_BASE_URL = os.getenv("LLAMA_CPP_BASE_URL", "http://yyplab.site:8033/v1")
LLAMA_CPP_MODEL_NAME = os.getenv("LLAMA_CPP_MODEL_NAME", "Qwen3.5-35B-A3B-UD-Q8_K_XL.gguf")
LLAMA_CPP_API_KEY = os.getenv("LLAMA_CPP_API_KEY", "EMPTY")


async def main():
    """创建一个 ReAct 智能体并运行一个简单任务。"""
    # 准备工具
    toolkit = Toolkit()
    toolkit.register_tool_function(execute_python_code)

    yyp_bot = ReActAgent(
        name="yyp_bot",
        sys_prompt="你是一个名为 yyp_bot 的助手",
        model=OpenAIChatModel(
            model_name=LLAMA_CPP_MODEL_NAME,
            api_key=LLAMA_CPP_API_KEY,
            client_kwargs={"base_url": LLAMA_CPP_BASE_URL}
        ),
        memory=InMemoryMemory(),
        formatter=OpenAIChatFormatter(),
        toolkit=toolkit,
    )
    
    user = UserAgent(name="user")
    
    msg = await user()
    while True:
        msg = await yyp_bot(msg)
        msg = await user(msg)
        if msg.get_text_content() == "exit":
            break

asyncio.run(main())