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fa2277d | 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 | 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", []),
)
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