import os
from dotenv import load_dotenv
import asyncio
from agents import Agent, Runner, set_default_openai_api
from agents.mcp import MCPServerStdio
load_dotenv(override=True) # load the API key from the .env file. We set override to True here to ensure the notebook is loading any changes
#set_default_openai_api(os.getenv("OPENAI_API_KEY"))
async def main() -> None:
async with MCPServerStdio(
name="Codex CLI",
params={
"command": "npx",
"args": ["-y", "codex", "mcp-server"],
"env": dict(os.environ),
},
client_session_timeout_seconds=360000,
) as codex_mcp_server:
developer_agent = Agent(
name="Game Developer",
instructions=(
"You are an expert in building simple games using basic html + css + javascript with no dependencies. "
"Save your work in a file called index.html in the current directory."
"Always call codex with \"approval-policy\": \"never\" and \"sandbox\": \"workspace-write\""
),
mcp_servers=[codex_mcp_server],
)
designer_agent = Agent(
name="Game Designer",
instructions=(
"You are an indie game connoisseur. Come up with an idea for a single page html + css + javascript game that a developer could build in about 50 lines of code. "
"Format your request as a 3 sentence design brief for a game developer and call the Game Developer coder with your idea."
),
model="gpt-5",
handoffs=[developer_agent],
)
result = await Runner.run(designer_agent, "Implement a fun new game!")
# print(result.final_output)
if __name__ == "__main__":
# Jupyter/IPython already runs an event loop, so calling asyncio.run() here
# raises "asyncio.run() cannot be called from a running event loop".
# Workaround: if a loop is running (notebook), schedule the coroutine on that loop;
# otherwise use asyncio.run().
try:
loop = asyncio.get_running_loop()
except RuntimeError:
asyncio.run(main())
else:
loop.create_task(main())
