ACTION_NUMBER
1

ACTION_PROMPT
TASK: {'description': 'Go to the next room', 'priority': 'medium'}. Your final task is to NAVIGATE TO THE NEAREST BED, and get as close to it as possible. There are 2 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 next room', 'priority': 'medium'} and eventually the final task NAVIGATING TO THE NEAREST BED. Explain which action acheives that best. 

🎯 SCENE ANALYSIS for current direction (30°):

💡 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 further into the room and closer to the doorway, which is likely the next room. This will help complete the subtask "Go to the next room" and get closer to the final task of navigating to the nearest bed.

{{'action': 1}}

COT_EVALUATOR_RESPONSE
{'goal_rotate_degrees': 30, 'explorable_value': {'30': 0, '90': 2, '150': 7, '210': 8, '270': 1, '330': 3}, 'reason': {'30': 'Wall blocking the view. No path or bed visible.', '90': 'Appears to be a kitchen or hallway. No bed in sight, but a clear path ahead.', '150': 'Living room.  A bedroom may be adjacent, thus a higher score.', '210': 'Living room.  A bedroom may be adjacent, thus a higher score.', '270': 'View partially blocked by wall. No bed visible.', '330': 'Dining room.  A bedroom may be connected, but less likely than from the living room.'}, 'cot_stats': {}}

COT_PLANNING_RESPONSE
{'goal_flag': False, 'subtask': {'description': 'Go to the next room', 'priority': 'medium'}, 'goal_reason': 'Wall blocking the view. No path or bed visible.'}

GOAL_SUBGRAPH_RESPONSE
{'target_object': 'bed', 'subgraph_info': {'target_rooms': [], 'nodes_count': 0, 'edges_count': 0, 'vlm_semantic_hints': {}, 'subgraph_cached': True, 'construction_method': 'llm_generated'}, 'step_number': 33, 'episode_id': 450}