ACTION_NUMBER
1

ACTION_PROMPT
TASK: {'description': 'Open the door and go through it', 'priority': 'medium'}. Your final task is to NAVIGATE TO THE NEAREST SOFA, and get as close to it as possible. There are 1 red arrows superimposed onto your observation, which represent potential actions. These are labeled with a number in a white circle, which represent the location you would move to if you took that action. In order to complete the subtask {'description': 'Open the door and go through it', 'priority': 'medium'} and eventually the final task NAVIGATING TO THE NEAREST SOFA. Explain which action acheives that best. 

🎯 SCENE ANALYSIS for current direction (210°):
📍 Detected Objects and Their Locations:

🗺️ Spatial Object Mapping:
  - door (unknown): spatial_pos=unknown
  - door_frame (unknown): spatial_pos=unknown

🏠 Room Context: 

💡 Use this spatial information to make more informed navigation decisions!
Return your answer as {{'action': <action_key>}}. Note you CANNOT GO THROUGH CLOSED DOORS, and you DO NOT NEED TO GO UP OR DOWN STAIRS

ACTION_RESPONSE
Action 1 moves me through the open door, which is necessary to complete the subtask and eventually navigate to the sofa. Action 2 keeps me inside, preventing me from completing the subtask.

{{'action': 1}}

COT_EVALUATOR_RESPONSE
{'goal_rotate_degrees': 210, 'explorable_value': {'30': 0, '90': 0, '150': 0, '210': 7, '270': 0, '330': 0}, 'reason': {'30': 'View is distorted/obstructed. Cannot assess this direction.', '90': 'Blank wall, no discernible features or pathways.', '150': 'Blank wall, no discernible features or pathways.', '210': 'Open doorway, potentially leading to a living space where a sofa might be.', '270': 'Stairs present. Sofas are unlikely to be on stairs.', '330': 'View is distorted/obstructed. Cannot assess this direction.'}, 'cot_stats': {}}

COT_PLANNING_RESPONSE
{'goal_flag': False, 'subtask': {'description': 'Open the door and go through it', 'priority': 'medium'}, 'goal_reason': 'Open doorway, potentially leading to a living space where a sofa might be.'}

GOAL_SUBGRAPH_RESPONSE
{'target_object': 'sofa', 'subgraph_info': {'target_rooms': [], 'nodes_count': 0, 'edges_count': 0, 'vlm_semantic_hints': {}, 'subgraph_cached': True, 'construction_method': 'llm_generated'}, 'step_number': 5, 'episode_id': 63}