ACTION_NUMBER
0

ACTION_PROMPT
TASK: {'description': 'Go through the open doorway', 'priority': 'medium'}. Your final task is to NAVIGATE TO THE NEAREST SOFA, and get as close to it as possible. There are 0 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. NOTE: choose action 0 if you want to TURN AROUND or DONT SEE ANY GOOD ACTIONS. In order to complete the subtask {'description': 'Go through the open doorway', 'priority': 'medium'} and eventually the final task NAVIGATING TO THE NEAREST SOFA. Explain which action acheives that best. 

🎯 SCENE ANALYSIS for current direction (30°):
📍 Detected Objects and Their Locations:

🗺️ Spatial Object Mapping:
  - doorway (unknown): spatial_pos=unknown
  - wall (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
I see an open doorway ahead. I will go through it to continue towards the sofa.

{{'action': 0}}


COT_EVALUATOR_RESPONSE
{'goal_rotate_degrees': 30, 'explorable_value': {'30': 6, '90': 0, '150': 1, '210': 2, '270': 0, '330': 5}, 'reason': {'30': 'Open doorway suggests a potential path to a living space where a sofa might be located.', '90': 'Wall with no visible features or pathways.', '150': 'Stairs are unlikely to lead directly to a sofa.', '210': 'Door at the top of the stairs could lead to a room with a sofa, but the stairs make it less direct.', '270': 'Wall and stairs obstruct the view and path.', '330': 'Clear hallway continuing - could lead to a room with a sofa.'}, 'cot_stats': {}}

COT_PLANNING_RESPONSE
{'goal_flag': False, 'subtask': {'description': 'Go through the open doorway', 'priority': 'medium'}, 'goal_reason': 'Open doorway suggests a potential path to a living space where a sofa might be located.'}

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': 21, 'episode_id': 63}