ACTION_NUMBER
0

ACTION_PROMPT
TASK: {'description': 'Go to the chairs at the table', 'priority': 'medium'}. Your final task is to NAVIGATE TO THE NEAREST CHAIR, 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 to the chairs at the table', 'priority': 'medium'} and eventually the final task NAVIGATING TO THE NEAREST CHAIR. Explain which action acheives that best. 

🎯 SCENE ANALYSIS for current direction (270°):
📍 Detected Objects and Their Locations:

🗺️ Spatial Object Mapping:
  - 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'm very close to the edge of something, and I can't see the chairs. I'll turn around to get a better view.

{{'action': 0}}


COT_EVALUATOR_RESPONSE
{'goal_rotate_degrees': 270, 'explorable_value': {'30': 1, '90': 2, '150': 10, '210': 3, '270': 0, '330': 1}, 'reason': {'30': 'View mostly obscured by the table. No clear path or chair visible.', '90': 'A door is visible, suggesting a transition to another room, but no chairs are seen.', '150': 'Chairs are clearly visible around the dining table.', '210': 'Open hallway leading to another room, potentially containing a chair.', '270': 'Wall blocking the view, no visible path or chair.', '330': 'View mostly obscured by the table. No clear path or chair visible.'}, 'cot_stats': {}}

COT_PLANNING_RESPONSE
{'goal_flag': False, 'subtask': {'description': 'Go to the chairs at the table', 'priority': 'medium'}, 'goal_reason': 'Wall blocking the view, no visible path or chair.'}

GOAL_SUBGRAPH_RESPONSE
{'target_object': 'chair', 'subgraph_info': {'target_rooms': [], 'nodes_count': 0, 'edges_count': 0, 'vlm_semantic_hints': {}, 'subgraph_cached': True, 'construction_method': 'llm_generated'}, 'step_number': 16, 'episode_id': 289}