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54092f4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | """Client for the Model Release environment."""
from __future__ import annotations
from typing import Any, Dict
try:
from openenv.core.client_types import StepResult
from openenv.core.env_client import EnvClient
from .models import ModelReleaseAction, ModelReleaseObservation, ModelReleaseState
except ImportError:
from openenv.core.client_types import StepResult
from openenv.core.env_client import EnvClient
from models import ModelReleaseAction, ModelReleaseObservation, ModelReleaseState
class ModelReleaseEnv(
EnvClient[ModelReleaseAction, ModelReleaseObservation, ModelReleaseState]
):
"""Typed WebSocket client for deterministic LLM release workflows."""
def _step_payload(self, action: ModelReleaseAction) -> Dict[str, Any]:
return action.model_dump()
def _parse_result(self, payload: Dict[str, Any]) -> StepResult[ModelReleaseObservation]:
observation = ModelReleaseObservation(**payload.get("observation", {}))
return StepResult(
observation=observation,
reward=payload.get("reward"),
done=payload.get("done", False),
)
def _parse_state(self, payload: Dict[str, Any]) -> ModelReleaseState:
return ModelReleaseState(**payload)
async def reset(
self, task_name: str | None = None, **kwargs: Any
) -> StepResult[ModelReleaseObservation]:
reset_kwargs = dict(kwargs)
if task_name is not None:
reset_kwargs["task_name"] = task_name
return await super().reset(**reset_kwargs) |