chore: initialize sandbox and overwrite remote content

examples/agent/react_agent/README.md

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+# ReAct Agent Example
+
+This example showcases a **ReAct** agent in AgentScope. Specifically, the ReAct agent will discuss with the user in
+an alternative manner, i.e., chatbot style. It is equipped with a suite of tools to assist in answering user queries.
+
+> 💡 Tip: Try ``Ctrl+C`` to interrupt the agent's reply to experience the realtime steering/interruption feature!
+
+## Quick Start
+
+Ensure you have installed agentscope and set ``DASHSCOPE_API_KEY`` in your environment variables.
+
+Run the following commands to set up and run the example:
+
+```bash
+python main.py
+```
+
+> Note:
+> - The example is built with DashScope chat model. If you want to change the model used in this example, don't
+> forget to change the formatter at the same time! The corresponding relationship between built-in models and
+> formatters are list in [our tutorial](https://doc.agentscope.io/tutorial/task_prompt.html#id1)
+> - For local models, ensure the model service (like Ollama) is running before starting the agent.

examples/agent/react_agent/main.py

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+# -*- coding: utf-8 -*-
+"""The main entry point of the ReAct agent example."""
+import asyncio
+import os
+
+from agentscope.agent import ReActAgent, UserAgent
+from agentscope.formatter import DashScopeChatFormatter
+from agentscope.memory import InMemoryMemory
+from agentscope.model import DashScopeChatModel
+from agentscope.tool import (
+    Toolkit,
+    execute_shell_command,
+    execute_python_code,
+    view_text_file,
+)
+
+
+async def main() -> None:
+    """The main entry point for the ReAct agent example."""
+    toolkit = Toolkit()
+
+    toolkit.register_tool_function(execute_shell_command)
+    toolkit.register_tool_function(execute_python_code)
+    toolkit.register_tool_function(view_text_file)
+
+    agent = ReActAgent(
+        name="Friday",
+        sys_prompt="You are a helpful assistant named Friday.",
+        model=DashScopeChatModel(
+            api_key=os.environ.get("DASHSCOPE_API_KEY"),
+            model_name="qwen-max",
+            enable_thinking=False,
+            stream=True,
+        ),
+        formatter=DashScopeChatFormatter(),
+        toolkit=toolkit,
+        memory=InMemoryMemory(),
+    )
+
+    user = UserAgent("User")
+
+    msg = None
+    while True:
+        msg = await user(msg)
+        if msg.get_text_content() == "exit":
+            break
+        msg = await agent(msg)
+
+
+asyncio.run(main())