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models.py

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+"""
+Data models for the 2048 Game Environment.
+
+Actions: 0=up, 1=down, 2=left, 3=right
+"""
+
+from typing import List, Optional
+
+from pydantic import Field
+
+# Support both in-repo and standalone imports
+try:
+    from openenv.core.env_server.types import Action, Observation, State
+except ImportError:
+    from openenv_core.env_server.types import Action, Observation, State
+
+
+class Game2048Action(Action):
+    """Action for the 2048 environment. 0=up, 1=down, 2=left, 3=right."""
+
+    action: int = Field(ge=0, le=3, description="Direction: 0=up, 1=down, 2=left, 3=right")
+
+
+class Game2048Observation(Observation):
+    """Observation from the 2048 environment."""
+
+    board: List[List[int]] = Field(default_factory=list, description="4x4 game board")
+    score: int = Field(default=0, description="Current total score")
+    legal_actions: List[int] = Field(default_factory=list, description="Valid action indices")
+    max_tile: int = Field(default=0, description="Highest tile value on the board")
+    board_text: str = Field(default="", description="Text rendering of the board")
+
+
+class Game2048State(State):
+    """State for the 2048 environment."""
+
+    episode_id: Optional[str] = None
+    step_count: int = 0
+    done: bool = False
+    won: bool = False
+    score: int = 0
+    max_tile: int = 0