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bbe2ae8 | 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 45 46 47 48 49 50 | from __future__ import annotations
from typing import Dict
from openenv.core import EnvClient
from openenv.core.client_types import StepResult
from models import SupportAction, SupportObservation, SupportState
class CustomerSupportEnvClient(EnvClient[SupportAction, SupportObservation, SupportState]):
def _step_payload(self, action: SupportAction) -> Dict:
return {
"action_type": action.action_type,
"content": action.content,
"metadata": action.metadata,
}
def _parse_result(self, payload: Dict) -> StepResult[SupportObservation]:
obs_data = payload.get("observation", {})
observation = SupportObservation(
ticket_id=obs_data.get("ticket_id", 0),
task_id=obs_data.get("task_id", ""),
difficulty=obs_data.get("difficulty", "easy"),
query=obs_data.get("query", ""),
kb_id=obs_data.get("kb_id", ""),
requires_escalation=obs_data.get("requires_escalation", False),
history=obs_data.get("history", []),
feedback=obs_data.get("feedback", ""),
done=payload.get("done", False),
reward=payload.get("reward"),
metadata=obs_data.get("metadata", {}),
)
return StepResult(
observation=observation,
reward=payload.get("reward"),
done=payload.get("done", False),
)
def _parse_state(self, payload: Dict) -> SupportState:
return SupportState(
episode_id=payload.get("episode_id"),
step_count=payload.get("step_count", 0),
difficulty_filter=payload.get("difficulty_filter"),
current_index=payload.get("current_index", 0),
task_id=payload.get("task_id", ""),
score_so_far=payload.get("score_so_far", 0.0),
final_score=payload.get("final_score", 0.0),
done=payload.get("done", False),
) |