raj921
Fix OpenEnv and HF training flows
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from __future__ import annotations
from fastapi import FastAPI
from openenv.core.env_server.http_server import create_app
try:
from ..models import SupportOpsAction, SupportOpsObservation
from .driftshield_environment import SupportOpsEnvironment
except ImportError:
from models import SupportOpsAction, SupportOpsObservation
from server.driftshield_environment import SupportOpsEnvironment
app: FastAPI = create_app(
SupportOpsEnvironment, SupportOpsAction, SupportOpsObservation,
# TRL's environment_factory can open multiple concurrent sessions during GRPO.
# Keep this above the default notebook generation batch size (4x4=16).
env_name="support_ops_env", max_concurrent_envs=32,
)
@app.get("/", include_in_schema=False)
async def root() -> dict[str, str]:
return {"name": "support_ops_env", "status": "ok", "docs": "/docs", "reset": "/reset"}
def main(host: str = "0.0.0.0", port: int = 8000) -> None:
import uvicorn
uvicorn.run(app, host=host, port=port)
if __name__ == "__main__":
import sys
if len(sys.argv) == 1:
main()
else:
import argparse
p = argparse.ArgumentParser()
p.add_argument("--host", default="0.0.0.0")
p.add_argument("--port", type=int, default=8000)
a = p.parse_args()
main(host=a.host, port=a.port)