ACTION_NUMBER
4

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 6 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 4 leads directly towards the next room, which is the most direct path towards the final goal of navigating to the nearest bed. Thus, I will take action 4.

{{'action': 4}}

COT_EVALUATOR_RESPONSE
{'goal_rotate_degrees': 30, 'explorable_value': {'30': 3.0, '90': 3.0, '150': 3.0, '210': 3.0, '270': 3.0, '330': 3.0}, 'reason': {'30': 'Regex-extracted data for direction 30', '90': 'Default entry for missing direction 90', '150': 'Default entry for missing direction 150', '210': 'Default entry for missing direction 210', '270': 'Default entry for missing direction 270', '330': 'Default entry for missing direction 330'}, 'cot_stats': {}}

COT_PLANNING_RESPONSE
{'goal_flag': False, 'subtask': {'description': 'Go to the next room', 'priority': 'medium'}, 'goal_reason': 'Regex-extracted data for direction 30'}

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': 5, 'episode_id': 450}