ACTION_NUMBER
2

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 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 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 (210°):

💡 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 2 moves closer to the table and chairs.

{{'action': 2}}

LOCATOR_RESPONSE
```json
{'Number': 0}
```
There are no circles in the image, so I cannot choose a number.  Also, the image is too blurry to determine if the object is a chair.

COT_EVALUATOR_RESPONSE
{'goal_rotate_degrees': 210, 'explorable_value': {'30': 1, '90': 1, '150': 1, '210': 1, '270': 1, '330': 1}, 'reason': {'30': 'Fallback prediction for direction 30°', '90': 'Fallback prediction for direction 90°', '150': 'Fallback prediction for direction 150°', '210': 'Fallback prediction for direction 210°', '270': 'Fallback prediction for direction 270°', '330': 'Fallback prediction for direction 330°'}, 'cot_stats': {}}

COT_PLANNING_RESPONSE
{'goal_flag': True, 'subtask': {'description': 'Go to the chairs at the table', 'priority': 'medium'}, 'goal_reason': 'Fallback prediction for direction 210°'}

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': 17, 'episode_id': 289}