client.py

from typing import Any, Dict

from openenv.core import EnvClient
from openenv.core.client_types import StepResult

from my_env.models import MyAction, MyObservation, MyState


class MyEnv(EnvClient[MyAction, MyObservation, MyState]):
    """Client for the personal assistant environment."""

    def _step_payload(self, action: MyAction) -> Dict[str, Any]:
        return {
            "tool_name": action.tool_name,
            "tool_args": action.tool_args,
        }

    def _parse_result(self, payload: Dict[str, Any]) -> StepResult[MyObservation]:
        obs_data = payload.get("observation", {})
        observation = MyObservation(
            result=obs_data.get("result", ""),
            available_tools=obs_data.get("available_tools", []),
            task_completed=obs_data.get("task_completed", False),
            done=payload.get("done", False),
            reward=payload.get("reward"),
        )
        return StepResult(
            observation=observation,
            reward=payload.get("reward"),
            done=payload.get("done", False),
        )

    def _parse_state(self, payload: Dict[str, Any]) -> MyState:
        return MyState(
            episode_id=payload.get("episode_id"),
            step_count=payload.get("step_count", 0),
            task_description=payload.get("task_description", ""),
            history=payload.get("history", []),
        )