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client.py

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+from typing import Any, Dict
+
+try:
+    from openenv.core.env_client import EnvClient
+    from openenv.core.client_types import StepResult
+except ImportError:
+    from openenv.core.env_client import EnvClient
+    from openenv.core.client_types import StepResult
+
+from overview_env.models import OverviewObservation, OverviewAction
+
+
+class OverviewEnv(EnvClient[OverviewAction, OverviewObservation, Dict[str, Any]]):
+    def _step_payload(self, action: OverviewAction) -> Dict[str, Any]:
+        return action.model_dump()
+
+    def _parse_result(self, payload: Dict[str, Any]) -> "StepResult[OverviewObservation]":
+        metadata = payload.get("metadata", payload)
+        obs_data = metadata.get("observation", metadata)
+        reward_value = payload.get("reward", 0.0)
+        done = payload.get("done", False)
+
+        try:
+            observation = OverviewObservation.model_validate(obs_data)
+        except Exception:
+            observation = OverviewObservation(
+                task_id=obs_data.get("task_id", "unknown"),
+                task_type=obs_data.get("task_type", "summarization"),
+                task_name=obs_data.get("task_name", "unknown"),
+                task_description=obs_data.get("task_description", ""),
+                input_text=obs_data.get("input_text", ""),
+            )
+
+        return StepResult(
+            observation=observation,
+            reward=reward_value,
+            done=done,
+            info=metadata.get("info", {}),
+        )
+
+    def _parse_state(self, payload: Dict[str, Any]) -> Dict[str, Any]:
+        return payload