ACTION_NUMBER
1

ACTION_PROMPT
TASK: {'description': 'Go to the open door.', 'priority': 'medium'}. Your final task is to NAVIGATE TO THE NEAREST TV SCREEN, and get as close to it as possible. There are 3 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': 'Go to the open door.', 'priority': 'medium'} and eventually the final task NAVIGATING TO THE NEAREST TV SCREEN. Explain which action acheives that best. 

🎯 SCENE ANALYSIS for current direction (90°):

💡 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}}
Action 1 is the best option as it moves away from the window and towards the open space of the room, which is necessary to navigate to the TV. Action 2 and 3 keep the agent by the window, and action 4 moves even closer to the wall.  I cannot go through closed doors, and I do not need to go up or down stairs.

COT_EVALUATOR_RESPONSE
{'goal_rotate_degrees': 90, 'explorable_value': {'30': 0, '90': 0, '150': 2, '210': 1, '270': 2, '330': 1}, 'reason': {'30': 'Dead end - wall.', '90': 'Dead end - wall.', '150': 'Low score due to being in a bedroom, where TVs are less common than living rooms or dens.', '210': 'Clearly a bedroom, unlikely to have the TV.', '270': 'Bedroom with a doorway, slightly higher score due to the possibility of the doorway leading to a more likely room for a TV.', '330': 'Still within the bedroom, low probability of finding the TV.'}, 'cot_stats': {}}

COT_PLANNING_RESPONSE
{'goal_flag': False, 'subtask': {'description': 'Go to the open door.', 'priority': 'medium'}, 'goal_reason': 'Dead end - wall.'}

GOAL_SUBGRAPH_RESPONSE
{'target_object': 'tv screen', 'subgraph_info': {'target_rooms': [], 'nodes_count': 0, 'edges_count': 0, 'vlm_semantic_hints': {}, 'subgraph_cached': True, 'construction_method': 'llm_generated'}, 'step_number': 31, 'episode_id': 249}