getting diagram of initial state
API Call 1: In=2179, Out=258, Cost=$0.0148 (Total: $0.0148)
API Call 2: In=1781, Out=667, Cost=$0.0189 (Total: $0.0337)
API Call 3: In=3719, Out=616, Cost=$0.0278 (Total: $0.0615)
API Call 4: In=2627, Out=7, Cost=$0.0132 (Total: $0.0747)
getting diagram of goal state
API Call 5: In=2569, Out=252, Cost=$0.0166 (Total: $0.0914)
API Call 6: In=1744, Out=417, Cost=$0.0150 (Total: $0.1064)
API Call 7: In=5806, Out=578, Cost=$0.0377 (Total: $0.1441)
API Call 8: In=2627, Out=7, Cost=$0.0132 (Total: $0.1573)
Expanding nodes at depth 0
Expanding state 0
attempt number 1 for getting child states (temp = 0.5)
API Call 9: In=2953, Out=160, Cost=$0.0172 (Total: $0.1745)
[] [] (move-car-to-curb car_0 car_2 curb_3) The next step is to move car_0 from behind car_2 to an empty curb, curb_3, to free up car_2 for movement. This allows us to eventually place cars in their correct goal positions.
All previous actions: ([], '(move-car-to-curb car_0 car_2 curb_3)')
created the 1th child state (temp = 0.5)
Getting diagram of state 1
Generating diagram encoding - single attempt
API Call 10: In=2700, Out=255, Cost=$0.0173 (Total: $0.1918)
API Call 11: In=3097, Out=303, Cost=$0.0200 (Total: $0.2118)
Diagram encoding is valid.
Generating diagram code - attempt 1
API Call 12: In=4711, Out=615, Cost=$0.0328 (Total: $0.2446)
API Call 13: In=4490, Out=559, Cost=$0.0308 (Total: $0.2754)
Successfully generated & tested diagram for state 1
API Call 14: In=4331, Out=630, Cost=$0.0311 (Total: $0.3065)
successfully verified the action of new state 1 with the path: The last action `(move-car-to-curb car_0 car_2 curb_3)` is valid as all preconditions are met in the parent state, and the effects are correctly reflected in the current state. The action moves the system closer to the goal state. The natural language description, diagram encoding, and visualization of the current state are accurate and consistent with the sequence of actions taken.
API Call 15: In=2936, Out=465, Cost=$0.0217 (Total: $0.3282)
attempt number 2 for getting child states (temp = 0.8)
API Call 16: In=3066, Out=192, Cost=$0.0182 (Total: $0.3464)
[{'action': '(move-car-to-curb car_0 car_2 curb_3)', 'child_id': 1}] [] (move-car-to-curb car_0 car_2 curb_2) The next best action is to move car_0, which is clear, from behind car_2 in curb_0 to the clear curb_2. This will free up car_2 to be moved to its goal position in curb_2, and sets up car_0 to be moved to its goal position in curb_0.
All previous actions: (['(move-car-to-curb car_0 car_2 curb_3)'], '(move-car-to-curb car_0 car_2 curb_2)')
created the 2th child state (temp = 0.8)
Getting diagram of state 2
Generating diagram encoding - single attempt
API Call 17: In=2709, Out=255, Cost=$0.0174 (Total: $0.3638)
API Call 18: In=3106, Out=298, Cost=$0.0200 (Total: $0.3838)
Diagram encoding is valid.
Generating diagram code - attempt 1
API Call 19: In=4720, Out=615, Cost=$0.0328 (Total: $0.4166)
API Call 20: In=4522, Out=576, Cost=$0.0312 (Total: $0.4478)
Successfully generated & tested diagram for state 2
API Call 21: In=4340, Out=726, Cost=$0.0326 (Total: $0.4804)
successfully verified the action of new state 2 with the path: The action `(move-car-to-curb car_0 car_2 curb_2)` satisfies all preconditions and correctly updates the state according to its effects. The current state's natural language description and visualization accurately reflect the results of the action, and all objects from the initial state are present. The action moves us closer to the goal state, making it logical and valid.
API Call 22: In=2945, Out=532, Cost=$0.0227 (Total: $0.5031)
attempt number 3 for getting child states (temp = 1.1)
API Call 23: In=3082, Out=169, Cost=$0.0179 (Total: $0.5211)
[{'action': '(move-car-to-curb car_0 car_2 curb_3)', 'child_id': 1}, {'action': '(move-car-to-curb car_0 car_2 curb_2)', 'child_id': 2}] [] (move-car-to-curb car_3 car_1 curb_3) To free up car_2 immediately next to a clear curb, move car_0 from behind car_2 to curb_3, allowing car_2's direct access to a curb. This will also move car_3 towards its goal position.
All previous actions: (['(move-car-to-curb car_0 car_2 curb_3)', '(move-car-to-curb car_0 car_2 curb_2)'], '(move-car-to-curb car_3 car_1 curb_3)')
created the 3th child state (temp = 1.1)
Getting diagram of state 3
Generating diagram encoding - single attempt
API Call 24: In=2703, Out=255, Cost=$0.0173 (Total: $0.5384)
API Call 25: In=3100, Out=365, Cost=$0.0210 (Total: $0.5594)
Diagram encoding is valid.
Generating diagram code - attempt 1
API Call 26: In=4714, Out=615, Cost=$0.0328 (Total: $0.5922)
API Call 27: In=4498, Out=448, Cost=$0.0292 (Total: $0.6214)
Successfully generated & tested diagram for state 3
API Call 28: In=4334, Out=673, Cost=$0.0318 (Total: $0.6532)
successfully verified the action of new state 3 with the path: The last action `(move-car-to-curb car_3 car_1 curb_3)` is valid as it satisfies all preconditions and correctly updates the state. The current state's description and visualization accurately reflect the effects of the action and align with the goal state. All objects from the initial state are present, and their statuses are correctly visualized.
API Call 29: In=2939, Out=495, Cost=$0.0221 (Total: $0.6753)
Number of valid nodes at depth 1 (3) ≤ beam width (4), skipping ranking/pruning.
Expanding nodes at depth 1
Expanding state 1
attempt number 1 for getting child states (temp = 0.5)
API Call 30: In=2950, Out=178, Cost=$0.0174 (Total: $0.6927)
[] [] (move-car-to-curb car_3 car_1 curb_2) To achieve the goal state, we need to move car_3 to curb_3. Currently, car_3 is double-parked behind car_1 on curb_1. We can move car_3 to the empty curb_2 using the move-car-to-curb action to free up curb_1 and prepare car_3 for its final move to curb_3.
All previous actions: ([], '(move-car-to-curb car_3 car_1 curb_2)')
created the 1th child state (temp = 0.5)
Getting diagram of state 4
Generating diagram encoding - single attempt
API Call 31: In=2683, Out=252, Cost=$0.0172 (Total: $0.7099)
API Call 32: In=3077, Out=273, Cost=$0.0195 (Total: $0.7294)
Diagram encoding is valid.
Generating diagram code - attempt 1
API Call 33: In=4693, Out=614, Cost=$0.0327 (Total: $0.7621)
API Call 34: In=4502, Out=488, Cost=$0.0298 (Total: $0.7919)
Action verification failed: 
Child state 4 is invalid: Action verification failed: 
attempt number 2 for getting child states (temp = 0.8)
API Call 35: In=3082, Out=139, Cost=$0.0175 (Total: $0.8094)
[] [{'action': '(move-car-to-curb car_3 car_1 curb_2)', 'failure_stage': 'diagram generation', 'error': 'Action verification failed: '}] (move-car-to-curb car_3 car_1 curb_2) To move closer to the goal state, move car_3 from double parking behind car_1 to the empty curb_2, freeing up curb_1 and positioning car_3 correctly.
All previous actions: (['(move-car-to-curb car_3 car_1 curb_2)'], '(move-car-to-curb car_3 car_1 curb_2)')
Action '(move-car-to-curb car_3 car_1 curb_2)' rejected: it has already been chosen from this state.
attempt number 3 for getting child states (temp = 0.8)
API Call 36: In=3120, Out=146, Cost=$0.0178 (Total: $0.8272)
[] [{'action': '(move-car-to-curb car_3 car_1 curb_2)', 'failure_stage': 'diagram generation', 'error': 'Action verification failed: '}, {'action': '(move-car-to-curb car_3 car_1 curb_2)', 'failure_stage': 'uniqueness check', 'error': 'Action was chosen for a second time and automatically rejected.'}] (move-car-to-curb car_3 car_1 curb_2) To progress towards the goal, I will move car_3 from behind car_1 to the empty curb_2. This clears car_1, allowing future movement, and places car_3 directly at its goal location.
All previous actions: (['(move-car-to-curb car_3 car_1 curb_2)', '(move-car-to-curb car_3 car_1 curb_2)'], '(move-car-to-curb car_3 car_1 curb_2)')
Action '(move-car-to-curb car_3 car_1 curb_2)' rejected: it has already been chosen from this state.
attempt number 4 for getting child states (temp = 0.8)
API Call 37: In=3158, Out=159, Cost=$0.0182 (Total: $0.8453)
[] [{'action': '(move-car-to-curb car_3 car_1 curb_2)', 'failure_stage': 'diagram generation', 'error': 'Action verification failed: '}, {'action': '(move-car-to-curb car_3 car_1 curb_2)', 'failure_stage': 'uniqueness check', 'error': 'Action was chosen for a second time and automatically rejected.'}, {'action': '(move-car-to-curb car_3 car_1 curb_2)', 'failure_stage': 'uniqueness check', 'error': 'Action was chosen for a second time and automatically rejected.'}] (move-car-to-curb car_3 car_1 curb_3) To achieve the goal state, the best next action is to move car_3 to curb_3 directly since curb_3 is already clear and ready to accommodate car_3, bringing us closer to the desired configuration.
All previous actions: (['(move-car-to-curb car_3 car_1 curb_2)', '(move-car-to-curb car_3 car_1 curb_2)', '(move-car-to-curb car_3 car_1 curb_2)'], '(move-car-to-curb car_3 car_1 curb_3)')
created the 1th child state (temp = 0.8)
Getting diagram of state 5
Generating diagram encoding - single attempt
API Call 38: In=2697, Out=255, Cost=$0.0173 (Total: $0.8627)
API Call 39: In=3094, Out=469, Cost=$0.0225 (Total: $0.8852)
Diagram encoding is valid.
Generating diagram code - attempt 1
API Call 40: In=4710, Out=615, Cost=$0.0328 (Total: $0.9179)
API Call 41: In=4486, Out=512, Cost=$0.0301 (Total: $0.9480)
Action verification failed: curb_3 is not clear, violating the precondition for the action.
Child state 5 is invalid: Action verification failed: curb_3 is not clear, violating the precondition for the action.
Expanding state 2
attempt number 1 for getting child states (temp = 0.5)
API Call 42: In=2959, Out=174, Cost=$0.0174 (Total: $0.9655)
[] [] (move-car-to-curb car_3 car_1 curb_3) To achieve the goal state, we need to clear curb_1 by moving car_3 to curb_3. This will allow car_1 to be clear, which is necessary to move it to its goal position at curb_1. Moving car_3 to curb_3 aligns with the goal state and frees up car_1.
All previous actions: ([], '(move-car-to-curb car_3 car_1 curb_3)')
created the 1th child state (temp = 0.5)
Getting diagram of state 6
Generating diagram encoding - single attempt
API Call 43: In=2697, Out=252, Cost=$0.0173 (Total: $0.9827)
API Call 44: In=3091, Out=502, Cost=$0.0230 (Total: $1.0057)
Diagram encoding is valid.
Generating diagram code - attempt 1
API Call 45: In=4707, Out=614, Cost=$0.0327 (Total: $1.0384)
API Call 46: In=4507, Out=451, Cost=$0.0293 (Total: $1.0677)
Successfully generated & tested diagram for state 6
API Call 47: In=4324, Out=581, Cost=$0.0303 (Total: $1.0981)
successfully verified the action of new state 6 with the path: The last action `(move-car-to-curb car_3 car_1 curb_3)` is valid because all preconditions are satisfied in the parent state, and the effects are correctly updated in the current state. The natural language description, diagram encoding, and visualization of the current state are accurate and consistent with the sequence of actions taken. The current state is closer to the goal state, making the action logical and valid.
API Call 48: In=2943, Out=405, Cost=$0.0208 (Total: $1.1189)
attempt number 2 for getting child states (temp = 0.8)
API Call 49: In=3072, Out=144, Cost=$0.0175 (Total: $1.1364)
[{'action': '(move-car-to-curb car_3 car_1 curb_3)', 'child_id': 6}] [] (move-car-to-curb car_3 car_1 curb_3) The next best action is to move car_3 from behind car_1 to curb_3, as this places car_3 in its goal position directly.
All previous actions: (['(move-car-to-curb car_3 car_1 curb_3)'], '(move-car-to-curb car_3 car_1 curb_3)')
Action '(move-car-to-curb car_3 car_1 curb_3)' rejected: it has already been chosen from this state.
attempt number 3 for getting child states (temp = 0.8)
API Call 50: In=3145, Out=154, Cost=$0.0180 (Total: $1.1544)
[{'action': '(move-car-to-curb car_3 car_1 curb_3)', 'child_id': 6}] [{'action': '(move-car-to-curb car_3 car_1 curb_3)', 'failure_stage': 'uniqueness check', 'error': 'Action was chosen for a second time and automatically rejected.'}] (move-car-to-curb car_3 car_1 curb_3) To move closer to the goal, we need to clear car_3 from behind car_1. Moving car_3 to curb_3 will place it in the correct goal position and free car_1.
All previous actions: (['(move-car-to-curb car_3 car_1 curb_3)', '(move-car-to-curb car_3 car_1 curb_3)'], '(move-car-to-curb car_3 car_1 curb_3)')
Action '(move-car-to-curb car_3 car_1 curb_3)' rejected: it has already been chosen from this state.
attempt number 4 for getting child states (temp = 0.8)
API Call 51: In=3183, Out=213, Cost=$0.0191 (Total: $1.1735)
[{'action': '(move-car-to-curb car_3 car_1 curb_3)', 'child_id': 6}] [{'action': '(move-car-to-curb car_3 car_1 curb_3)', 'failure_stage': 'uniqueness check', 'error': 'Action was chosen for a second time and automatically rejected.'}, {'action': '(move-car-to-curb car_3 car_1 curb_3)', 'failure_stage': 'uniqueness check', 'error': 'Action was chosen for a second time and automatically rejected.'}] (move-curb-to-curb car_2 curb_0 curb_3) To get car_2 into curb_2, I'll move car_2 from curb_0 to curb_3, which is currently empty. This allows us to later place car_2 into its goal position in curb_2.
All previous actions: (['(move-car-to-curb car_3 car_1 curb_3)', '(move-car-to-curb car_3 car_1 curb_3)', '(move-car-to-curb car_3 car_1 curb_3)'], '(move-curb-to-curb car_2 curb_0 curb_3)')
created the 2th child state (temp = 0.8)
Getting diagram of state 7
Generating diagram encoding - single attempt
API Call 52: In=2753, Out=255, Cost=$0.0176 (Total: $1.1911)
API Call 53: In=3150, Out=460, Cost=$0.0226 (Total: $1.2138)
Diagram encoding is valid.
Generating diagram code - attempt 1
API Call 54: In=4766, Out=615, Cost=$0.0331 (Total: $1.2468)
API Call 55: In=4545, Out=553, Cost=$0.0310 (Total: $1.2779)
Action verification failed: Action misplaces car_2 in curb_3 instead of curb_2, misaligning with the goal state.
Child state 7 is invalid: Action verification failed: Action misplaces car_2 in curb_3 instead of curb_2, misaligning with the goal state.
Expanding state 3
attempt number 1 for getting child states (temp = 0.5)
API Call 56: In=2953, Out=150, Cost=$0.0170 (Total: $1.2949)
[] [] (move-car-to-curb car_0 car_2 curb_2) To move closer to the goal state, we need to clear car_2 by moving car_0. Since curb_2 is empty, we can move car_0 there. This will unblock car_2, allowing it to be moved to its goal position in curb_2.
All previous actions: ([], '(move-car-to-curb car_0 car_2 curb_2)')
created the 1th child state (temp = 0.5)
Getting diagram of state 8
Generating diagram encoding - single attempt
API Call 57: In=2678, Out=252, Cost=$0.0172 (Total: $1.3120)
API Call 58: In=3072, Out=240, Cost=$0.0190 (Total: $1.3310)
Diagram encoding is valid.
Generating diagram code - attempt 1
API Call 59: In=4688, Out=614, Cost=$0.0326 (Total: $1.3636)
API Call 60: In=4477, Out=540, Cost=$0.0305 (Total: $1.3941)
Successfully generated & tested diagram for state 8
API Call 61: In=4305, Out=570, Cost=$0.0301 (Total: $1.4242)
successfully verified the action of new state 8 with the path: The action `(move-car-to-curb car_0 car_2 curb_2)` is valid because all preconditions are met in the parent state, and the effects are correctly reflected in the current state. The natural language description, diagram encoding, and visualization of the current state are accurate and consistent with the sequence of actions taken. The current state is closer to the goal state, with each car parked individually on a curb.
API Call 62: In=2930, Out=480, Cost=$0.0219 (Total: $1.4461)
attempt number 2 for getting child states (temp = 0.8)
API Call 63: In=3066, Out=156, Cost=$0.0177 (Total: $1.4637)
[{'action': '(move-car-to-curb car_0 car_2 curb_2)', 'child_id': 8}] [] (move-car-to-curb car_0 car_2 curb_2) Move car_0 to curb_2 to allow car_2 to become clear, facilitating future moves to achieve the goal state.
All previous actions: (['(move-car-to-curb car_0 car_2 curb_2)'], '(move-car-to-curb car_0 car_2 curb_2)')
Action '(move-car-to-curb car_0 car_2 curb_2)' rejected: it has already been chosen from this state.
attempt number 3 for getting child states (temp = 0.8)
API Call 64: In=3139, Out=143, Cost=$0.0178 (Total: $1.4816)
[{'action': '(move-car-to-curb car_0 car_2 curb_2)', 'child_id': 8}] [{'action': '(move-car-to-curb car_0 car_2 curb_2)', 'failure_stage': 'uniqueness check', 'error': 'Action was chosen for a second time and automatically rejected.'}] (move-car-to-curb car_0 car_2 curb_1) Moving car_0 to curb_1 will allow us to free car_2, making it possible to move car_2 to curb_2, aligning with our goal state.
All previous actions: (['(move-car-to-curb car_0 car_2 curb_2)', '(move-car-to-curb car_0 car_2 curb_2)'], '(move-car-to-curb car_0 car_2 curb_1)')
created the 2th child state (temp = 0.8)
Getting diagram of state 9
Generating diagram encoding - single attempt
API Call 65: In=2694, Out=255, Cost=$0.0173 (Total: $1.4989)
API Call 66: In=3091, Out=295, Cost=$0.0199 (Total: $1.5187)
Diagram encoding is valid.
Generating diagram code - attempt 1
API Call 67: In=4707, Out=615, Cost=$0.0328 (Total: $1.5515)
API Call 68: In=4475, Out=538, Cost=$0.0304 (Total: $1.5819)
Action verification failed: curb_1 is not clear, violating preconditions and goal state alignment.
Child state 9 is invalid: Action verification failed: curb_1 is not clear, violating preconditions and goal state alignment.
attempt number 4 for getting child states (temp = 1.1)
API Call 69: In=3185, Out=156, Cost=$0.0183 (Total: $1.6002)
[{'action': '(move-car-to-curb car_0 car_2 curb_2)', 'child_id': 8}] [{'action': '(move-car-to-curb car_0 car_2 curb_2)', 'failure_stage': 'uniqueness check', 'error': 'Action was chosen for a second time and automatically rejected.'}, {'action': '(move-car-to-curb car_0 car_2 curb_1)', 'failure_stage': 'diagram generation', 'error': 'Action verification failed: curb_1 is not clear, violating preconditions and goal state alignment.'}] (move-car-to-curb car_0 car_2 curb_2) To align with the goal state, we need to move car_0 from behind car_2. Since curb_2 is clear, we can move car_0 from curb_0 to curb_2 using "move-car-to-curb." This action clears car_0 from curb_0, aligning with our intent to clear curb_0.
All previous actions: (['(move-car-to-curb car_0 car_2 curb_2)', '(move-car-to-curb car_0 car_2 curb_2)', '(move-car-to-curb car_0 car_2 curb_1)'], '(move-car-to-curb car_0 car_2 curb_2)')
Action '(move-car-to-curb car_0 car_2 curb_2)' rejected: it has already been chosen from this state.
Number of valid nodes at depth 2 (2) ≤ beam width (4), skipping ranking/pruning.
Expanding nodes at depth 2
Expanding state 6
attempt number 1 for getting child states (temp = 0.5)
API Call 70: In=2954, Out=223, Cost=$0.0181 (Total: $1.6183)
[] [] (move-curb-to-curb car_2 curb_0 curb_2) To achieve the goal state, we need to move car_2 to curb_2. This can be done by moving car_2 from curb_0 to curb_2 since both car_2 and curb_2 are clear. This action aligns car_2 with its goal position.
All previous actions: ([], '(move-curb-to-curb car_2 curb_0 curb_2)')
created the 1th child state (temp = 0.5)
Getting diagram of state 10
Generating diagram encoding - single attempt
API Call 71: In=2747, Out=248, Cost=$0.0175 (Total: $1.6358)
API Call 72: In=3137, Out=368, Cost=$0.0212 (Total: $1.6570)
Diagram encoding is valid.
Generating diagram code - attempt 1
API Call 73: In=4755, Out=615, Cost=$0.0330 (Total: $1.6900)
API Call 74: In=4543, Out=533, Cost=$0.0307 (Total: $1.7207)
Successfully generated & tested diagram for state 10
API Call 75: In=4370, Out=519, Cost=$0.0296 (Total: $1.7503)
State 10 failed the action path verification test: The action `(move-curb-to-curb car_2 curb_0 curb_2)` is invalid because the precondition that curb_2 must be clear is not satisfied in the parent state. The current state's natural language description and visualization are not accurate, as they do not reflect a valid sequence of actions from the initial state.
attempt number 2 for getting child states (temp = 0.8)
API Call 76: In=3148, Out=211, Cost=$0.0189 (Total: $1.7692)
[] [{'action': '(move-curb-to-curb car_2 curb_0 curb_2)', 'failure_stage': 'action verification', 'error': "The action `(move-curb-to-curb car_2 curb_0 curb_2)` is invalid because the precondition that curb_2 must be clear is not satisfied in the parent state. The current state's natural language description and visualization are not accurate, as they do not reflect a valid sequence of actions from the initial state."}] (move-curb-to-car car_2 curb_0 car_0) In the current state, curb_0 has car_2 parked on it, and curb_2 has car_0 parked on it. The goal is to get car_0 to curb_0, but since curb_0 is not clear, the next best action is to move car_2 from curb_0 to curb_2, temporarily double-parking it behind car_0, so that car_0 can eventually move to curb_0.
All previous actions: (['(move-curb-to-curb car_2 curb_0 curb_2)'], '(move-curb-to-car car_2 curb_0 car_0)')
created the 1th child state (temp = 0.8)
Getting diagram of state 11
Generating diagram encoding - single attempt
API Call 77: In=2705, Out=255, Cost=$0.0173 (Total: $1.7866)
API Call 78: In=3102, Out=275, Cost=$0.0196 (Total: $1.8062)
Diagram encoding is valid.
Generating diagram code - attempt 1
API Call 79: In=4720, Out=615, Cost=$0.0328 (Total: $1.8390)
API Call 80: In=4542, Out=574, Cost=$0.0313 (Total: $1.8704)
Successfully generated & tested diagram for state 11
API Call 81: In=4335, Out=533, Cost=$0.0297 (Total: $1.9000)
successfully verified the action of new state 11 with the path: The last action `(move-curb-to-car car_2 curb_0 car_0)` is valid as all preconditions are met, and the effects are correctly reflected in the current state. The natural language description, diagram encoding, and visualization of the current state are accurate and consistent with the sequence of actions taken. The action is a logical step towards achieving the goal state.
API Call 82: In=2972, Out=502, Cost=$0.0224 (Total: $1.9224)
attempt number 3 for getting child states (temp = 1.1)
API Call 83: In=3196, Out=190, Cost=$0.0188 (Total: $1.9413)
[{'action': '(move-curb-to-car car_2 curb_0 car_0)', 'child_id': 11}] [{'action': '(move-curb-to-curb car_2 curb_0 curb_2)', 'failure_stage': 'action verification', 'error': "The action `(move-curb-to-curb car_2 curb_0 curb_2)` is invalid because the precondition that curb_2 must be clear is not satisfied in the parent state. The current state's natural language description and visualization are not accurate, as they do not reflect a valid sequence of actions from the initial state."}] (move-curb-to-curb car_2 curb_0 curb_2) To complete the goal, the next logical step is to place car_2 on curb_2, where it should be in the goal state. This clears curb_0 for car_0.
All previous actions: (['(move-curb-to-car car_2 curb_0 car_0)', '(move-curb-to-curb car_2 curb_0 curb_2)'], '(move-curb-to-curb car_2 curb_0 curb_2)')
Action '(move-curb-to-curb car_2 curb_0 curb_2)' rejected: it has already been chosen from this state.
attempt number 4 for getting child states (temp = 1.1)
API Call 84: In=3236, Out=209, Cost=$0.0193 (Total: $1.9606)
[{'action': '(move-curb-to-car car_2 curb_0 car_0)', 'child_id': 11}] [{'action': '(move-curb-to-curb car_2 curb_0 curb_2)', 'failure_stage': 'action verification', 'error': "The action `(move-curb-to-curb car_2 curb_0 curb_2)` is invalid because the precondition that curb_2 must be clear is not satisfied in the parent state. The current state's natural language description and visualization are not accurate, as they do not reflect a valid sequence of actions from the initial state."}, {'action': '(move-curb-to-curb car_2 curb_0 curb_2)', 'failure_stage': 'uniqueness check', 'error': 'Action was chosen for a second time and automatically rejected.'}] (move-curb-to-curb car_2 curb_0 curb_2) To achieve the goal state, move `car_2` from `curb_0` to `curb_2`, as this aligns `car_2` with its goal location, ensuring progress towards the goal configuration without revisiting any of the previously attempted actions or violating constraints.
All previous actions: (['(move-curb-to-car car_2 curb_0 car_0)', '(move-curb-to-curb car_2 curb_0 curb_2)', '(move-curb-to-curb car_2 curb_0 curb_2)'], '(move-curb-to-curb car_2 curb_0 curb_2)')
Action '(move-curb-to-curb car_2 curb_0 curb_2)' rejected: it has already been chosen from this state.
Expanding state 8
attempt number 1 for getting child states (temp = 0.5)
API Call 85: In=2941, Out=198, Cost=$0.0177 (Total: $1.9782)
[] [] (move-curb-to-curb car_2 curb_0 curb_2) To achieve the goal state, we need to move car_2 to curb_2. Since car_2 is currently clear and parked at curb_0, and curb_2 is empty, we can use the move-curb-to-curb action to move car_2 from curb_0 to curb_2.
All previous actions: ([], '(move-curb-to-curb car_2 curb_0 curb_2)')
created the 1th child state (temp = 0.5)
Getting diagram of state 12
Generating diagram encoding - single attempt
API Call 86: In=2703, Out=251, Cost=$0.0173 (Total: $1.9955)
API Call 87: In=3096, Out=350, Cost=$0.0207 (Total: $2.0163)
Diagram encoding failed: Curb_2 incorrectly contains both car_2 and car_0 in a single parking spot.
Child state 12 is invalid: Diagram schema verification failed: Curb_2 incorrectly contains both car_2 and car_0 in a single parking spot.
attempt number 2 for getting child states (temp = 0.8)
API Call 88: In=3094, Out=123, Cost=$0.0173 (Total: $2.0336)
[] [{'action': '(move-curb-to-curb car_2 curb_0 curb_2)', 'failure_stage': 'diagram generation', 'error': 'Diagram schema verification failed: Curb_2 incorrectly contains both car_2 and car_0 in a single parking spot.'}] (move-curb-to-curb car_2 curb_0 curb_2) Car_2 is currently on curb_0 and needs to move to curb_2. Since curb_2 is clear, we can use move-curb-to-curb to move car_2 there.
All previous actions: (['(move-curb-to-curb car_2 curb_0 curb_2)'], '(move-curb-to-curb car_2 curb_0 curb_2)')
Action '(move-curb-to-curb car_2 curb_0 curb_2)' rejected: it has already been chosen from this state.
attempt number 3 for getting child states (temp = 0.8)
API Call 89: In=3133, Out=201, Cost=$0.0187 (Total: $2.0523)
[] [{'action': '(move-curb-to-curb car_2 curb_0 curb_2)', 'failure_stage': 'diagram generation', 'error': 'Diagram schema verification failed: Curb_2 incorrectly contains both car_2 and car_0 in a single parking spot.'}, {'action': '(move-curb-to-curb car_2 curb_0 curb_2)', 'failure_stage': 'uniqueness check', 'error': 'Action was chosen for a second time and automatically rejected.'}] (move-curb-to-curb car_2 curb_0 curb_2) To achieve the goal state, we need to swap the positions of car_0 and car_2. Since curb_0 is currently occupied by car_2, we can move car_2 to the empty curb_2 temporarily, allowing car_0 to be moved to curb_0.
All previous actions: (['(move-curb-to-curb car_2 curb_0 curb_2)', '(move-curb-to-curb car_2 curb_0 curb_2)'], '(move-curb-to-curb car_2 curb_0 curb_2)')
Action '(move-curb-to-curb car_2 curb_0 curb_2)' rejected: it has already been chosen from this state.
attempt number 4 for getting child states (temp = 0.8)
API Call 90: In=3172, Out=146, Cost=$0.0181 (Total: $2.0703)
[] [{'action': '(move-curb-to-curb car_2 curb_0 curb_2)', 'failure_stage': 'diagram generation', 'error': 'Diagram schema verification failed: Curb_2 incorrectly contains both car_2 and car_0 in a single parking spot.'}, {'action': '(move-curb-to-curb car_2 curb_0 curb_2)', 'failure_stage': 'uniqueness check', 'error': 'Action was chosen for a second time and automatically rejected.'}, {'action': '(move-curb-to-curb car_2 curb_0 curb_2)', 'failure_stage': 'uniqueness check', 'error': 'Action was chosen for a second time and automatically rejected.'}] (move-curb-to-curb car_2 curb_0 curb_2) To move towards the goal state, we need to place car_2 in curb_2. Since car_2 is clear and parked in curb_0, we can move it directly to the empty curb_2 using the move-curb-to-curb action.
All previous actions: (['(move-curb-to-curb car_2 curb_0 curb_2)', '(move-curb-to-curb car_2 curb_0 curb_2)', '(move-curb-to-curb car_2 curb_0 curb_2)'], '(move-curb-to-curb car_2 curb_0 curb_2)')
Action '(move-curb-to-curb car_2 curb_0 curb_2)' rejected: it has already been chosen from this state.
Number of valid nodes at depth 3 (1) ≤ beam width (4), skipping ranking/pruning.
Expanding nodes at depth 3
Expanding state 11
attempt number 1 for getting child states (temp = 0.5)
API Call 91: In=2986, Out=178, Cost=$0.0176 (Total: $2.0879)
[] [] (move-car-to-curb car_2 car_0 curb_0) To achieve the goal state, we need to move car_2 to curb_2. Car_2 is currently behind car_0 in curb_2, so we will move car_2 to curb_0, which is clear. This will allow us to later move car_2 to curb_2 once car_0 is moved to curb_0.
All previous actions: ([], '(move-car-to-curb car_2 car_0 curb_0)')
created the 1th child state (temp = 0.5)
Getting diagram of state 13
Generating diagram encoding - single attempt
API Call 92: In=2723, Out=252, Cost=$0.0174 (Total: $2.1053)
API Call 93: In=3117, Out=309, Cost=$0.0202 (Total: $2.1255)
Diagram encoding is valid.
Generating diagram code - attempt 1
API Call 94: In=4733, Out=614, Cost=$0.0329 (Total: $2.1584)
API Call 95: In=4538, Out=544, Cost=$0.0309 (Total: $2.1892)
Action verification failed: 
Child state 13 is invalid: Action verification failed: 
attempt number 2 for getting child states (temp = 0.8)
API Call 96: In=3118, Out=149, Cost=$0.0178 (Total: $2.2071)
[] [{'action': '(move-car-to-curb car_2 car_0 curb_0)', 'failure_stage': 'diagram generation', 'error': 'Action verification failed: '}] (move-car-to-curb car_2 car_0 curb_0) The best action is to move car_2 from behind car_0 to curb_0, as it will position car_2 at its goal location, leaving curb_2 clear for car_0 to move later.
All previous actions: (['(move-car-to-curb car_2 car_0 curb_0)'], '(move-car-to-curb car_2 car_0 curb_0)')
Action '(move-car-to-curb car_2 car_0 curb_0)' rejected: it has already been chosen from this state.
attempt number 3 for getting child states (temp = 0.8)
API Call 97: In=3156, Out=158, Cost=$0.0181 (Total: $2.2252)
[] [{'action': '(move-car-to-curb car_2 car_0 curb_0)', 'failure_stage': 'diagram generation', 'error': 'Action verification failed: '}, {'action': '(move-car-to-curb car_2 car_0 curb_0)', 'failure_stage': 'uniqueness check', 'error': 'Action was chosen for a second time and automatically rejected.'}] (move-car-to-curb car_2 car_0 curb_0) To bring car_2 to its goal position on curb_2, we will first move car_2 from behind car_0 to the empty curb_0 using move-car-to-curb.
All previous actions: (['(move-car-to-curb car_2 car_0 curb_0)', '(move-car-to-curb car_2 car_0 curb_0)'], '(move-car-to-curb car_2 car_0 curb_0)')
Action '(move-car-to-curb car_2 car_0 curb_0)' rejected: it has already been chosen from this state.
attempt number 4 for getting child states (temp = 0.8)
API Call 98: In=3194, Out=156, Cost=$0.0183 (Total: $2.2435)
[] [{'action': '(move-car-to-curb car_2 car_0 curb_0)', 'failure_stage': 'diagram generation', 'error': 'Action verification failed: '}, {'action': '(move-car-to-curb car_2 car_0 curb_0)', 'failure_stage': 'uniqueness check', 'error': 'Action was chosen for a second time and automatically rejected.'}, {'action': '(move-car-to-curb car_2 car_0 curb_0)', 'failure_stage': 'uniqueness check', 'error': 'Action was chosen for a second time and automatically rejected.'}] (move-car-to-curb car_2 car_0 curb_0) To progress towards the goal state, I will move car_2 from behind car_0 to the empty curb_0. This clears car_0, allowing it to be moved to curb_0 in the future, aligning with the goal state requirements.
All previous actions: (['(move-car-to-curb car_2 car_0 curb_0)', '(move-car-to-curb car_2 car_0 curb_0)', '(move-car-to-curb car_2 car_0 curb_0)'], '(move-car-to-curb car_2 car_0 curb_0)')
Action '(move-car-to-curb car_2 car_0 curb_0)' rejected: it has already been chosen from this state.
Number of valid nodes at depth 4 (0) ≤ beam width (4), skipping ranking/pruning.
No nodes in open_list, resuming search from last valid nodes at depth 3
Expanding nodes at depth 3
Expanding state 11
attempt number 1 for getting child states (temp = 0.5)
API Call 99: In=2986, Out=223, Cost=$0.0183 (Total: $2.2618)
[] [] (move-car-to-curb car_2 car_0 curb_0) To achieve the goal state, car_2 needs to be on curb_2. Currently, car_2 is double-parked behind car_0 on curb_2. We can move car_2 to curb_0, which is clear, to free up car_0 and allow further actions.
All previous actions: ([], '(move-car-to-curb car_2 car_0 curb_0)')
created the 1th child state (temp = 0.5)
Getting diagram of state 14
Generating diagram encoding - single attempt
API Call 100: In=2775, Out=252, Cost=$0.0177 (Total: $2.2795)
API Call 101: In=3169, Out=665, Cost=$0.0258 (Total: $2.3053)
Diagram encoding is valid.
Generating diagram code - attempt 1
API Call 102: In=4785, Out=614, Cost=$0.0331 (Total: $2.3384)
API Call 103: In=4579, Out=518, Cost=$0.0307 (Total: $2.3691)
Successfully generated & tested diagram for state 14
API Call 104: In=4402, Out=616, Cost=$0.0312 (Total: $2.4003)
successfully verified the action of new state 14 with the path: The last action `(move-car-to-curb car_2 car_0 curb_0)` is valid as all preconditions are satisfied in the parent state, and the effects are correctly applied in the current state. The current state matches the goal state, and the natural language description, diagram encoding, and visualization are all accurate and consistent with the sequence of actions taken.
API Call 105: In=3026, Out=336, Cost=$0.0202 (Total: $2.4205)
attempt number 2 for getting child states (temp = 0.8)
API Call 106: In=3099, Out=147, Cost=$0.0177 (Total: $2.4382)
[{'action': '(move-car-to-curb car_2 car_0 curb_0)', 'child_id': 14}] [] (move-car-to-curb car_2 car_0 curb_0) To achieve the goal state, I will move car_2 from behind car_0 to curb_0. This will clear car_0 on curb_2, allowing future moves to position the cars correctly.
All previous actions: (['(move-car-to-curb car_2 car_0 curb_0)'], '(move-car-to-curb car_2 car_0 curb_0)')
Action '(move-car-to-curb car_2 car_0 curb_0)' rejected: it has already been chosen from this state.
attempt number 3 for getting child states (temp = 0.8)
API Call 107: In=3172, Out=167, Cost=$0.0184 (Total: $2.4566)
[{'action': '(move-car-to-curb car_2 car_0 curb_0)', 'child_id': 14}] [{'action': '(move-car-to-curb car_2 car_0 curb_0)', 'failure_stage': 'uniqueness check', 'error': 'Action was chosen for a second time and automatically rejected.'}] (move-car-to-car car_2 car_0 car_3) To achieve the goal, car_2 needs to move to curb_2. Currently, it is double parked behind car_0 in curb_2. Moving car_2 behind car_3 in curb_3 will make car_2 clear for a future move to curb_2.
All previous actions: (['(move-car-to-curb car_2 car_0 curb_0)', '(move-car-to-curb car_2 car_0 curb_0)'], '(move-car-to-car car_2 car_0 car_3)')
created the 2th child state (temp = 0.8)
Getting diagram of state 15
Generating diagram encoding - single attempt
API Call 108: In=2727, Out=258, Cost=$0.0175 (Total: $2.4741)
API Call 109: In=3127, Out=447, Cost=$0.0223 (Total: $2.4964)
Diagram encoding is valid.
Generating diagram code - attempt 1
API Call 110: In=4743, Out=615, Cost=$0.0329 (Total: $2.5293)
API Call 111: In=4533, Out=577, Cost=$0.0313 (Total: $2.5607)
Successfully generated & tested diagram for state 15
API Call 112: In=4360, Out=516, Cost=$0.0295 (Total: $2.5902)
successfully verified the action of new state 15 with the path: The last action `(move-car-to-car car_2 car_0 car_3)` is valid as all preconditions are met in the parent state, and the effects are correctly reflected in the current state. The natural language description and visualization of the current state are accurate. However, the action does not directly progress towards the goal state, but it is still valid in terms of the domain constraints.
API Call 113: In=2978, Out=501, Cost=$0.0224 (Total: $2.6126)
attempt number 4 for getting child states (temp = 1.1)
API Call 114: In=3187, Out=196, Cost=$0.0189 (Total: $2.6315)
[{'action': '(move-car-to-curb car_2 car_0 curb_0)', 'child_id': 14}, {'action': '(move-car-to-car car_2 car_0 car_3)', 'child_id': 15}] [{'action': '(move-car-to-curb car_2 car_0 curb_0)', 'failure_stage': 'uniqueness check', 'error': 'Action was chosen for a second time and automatically rejected.'}] (move-car-to-curb car_2 car_0 curb_2) The best action is to move car_2 from behind car_0 to curb_0 using "move-car-to-curb." This aligns car_2 with its goal location, curb_2.
All previous actions: (['(move-car-to-curb car_2 car_0 curb_0)', '(move-car-to-car car_2 car_0 car_3)', '(move-car-to-curb car_2 car_0 curb_0)'], '(move-car-to-curb car_2 car_0 curb_2)')
created the 3th child state (temp = 1.1)
Getting diagram of state 16
Generating diagram encoding - single attempt
API Call 115: In=2770, Out=252, Cost=$0.0176 (Total: $2.6491)
API Call 116: In=3164, Out=332, Cost=$0.0208 (Total: $2.6699)
Diagram encoding is valid.
Generating diagram code - attempt 1
API Call 117: In=4780, Out=615, Cost=$0.0331 (Total: $2.7030)
API Call 118: In=4552, Out=543, Cost=$0.0309 (Total: $2.7339)
Action verification failed: Precondition violation: curb_2 is not clear.
Child state 16 is invalid: Action verification failed: Precondition violation: curb_2 is not clear.
Number of valid nodes at depth 4 (2) ≤ beam width (4), skipping ranking/pruning.
Expanding nodes at depth 4
Expanding state 14
attempt number 1 for getting child states (temp = 0.5)
API Call 119: In=3037, Out=200, Cost=$0.0182 (Total: $2.7521)
[] [] (move-curb-to-curb car_2 curb_0 curb_2) To achieve the goal state, car_2 must move to curb_2. This can be done by moving car_2 from curb_0 to curb_2 since curb_2 is clear and car_2 is clear.
All previous actions: ([], '(move-curb-to-curb car_2 curb_0 curb_2)')
created the 1th child state (temp = 0.5)
Getting diagram of state 17
Generating diagram encoding - single attempt
API Call 120: In=2819, Out=248, Cost=$0.0178 (Total: $2.7699)
API Call 121: In=3209, Out=507, Cost=$0.0237 (Total: $2.7936)
Diagram encoding is valid.
Generating diagram code - attempt 1
API Call 122: In=4827, Out=615, Cost=$0.0334 (Total: $2.8270)
API Call 123: In=4603, Out=544, Cost=$0.0312 (Total: $2.8581)
Action verification failed: Curb_2 is not clear, violating a precondition for the action.
Child state 17 is invalid: Action verification failed: Curb_2 is not clear, violating a precondition for the action.
attempt number 2 for getting child states (temp = 0.8)
API Call 124: In=3185, Out=201, Cost=$0.0189 (Total: $2.8771)
[] [{'action': '(move-curb-to-curb car_2 curb_0 curb_2)', 'failure_stage': 'diagram generation', 'error': 'Action verification failed: Curb_2 is not clear, violating a precondition for the action.'}] (move-curb-to-curb car_0 curb_2 curb_0) The next logical step is to move car_0 from curb_2 to curb_0 to achieve the goal state where car_0 is on curb_0. This aligns with our goal and utilizes an empty space.
All previous actions: (['(move-curb-to-curb car_2 curb_0 curb_2)'], '(move-curb-to-curb car_0 curb_2 curb_0)')
created the 1th child state (temp = 0.8)
Getting diagram of state 18
Generating diagram encoding - single attempt
API Call 125: In=2822, Out=248, Cost=$0.0178 (Total: $2.8949)
API Call 126: In=3212, Out=349, Cost=$0.0213 (Total: $2.9162)
Diagram encoding is valid.
Generating diagram code - attempt 1
API Call 127: In=4830, Out=615, Cost=$0.0334 (Total: $2.9496)
API Call 128: In=4604, Out=632, Cost=$0.0325 (Total: $2.9821)
Action verification failed: 
Child state 18 is invalid: Action verification failed: 
attempt number 3 for getting child states (temp = 1.1)
API Call 129: In=3218, Out=223, Cost=$0.0194 (Total: $3.0015)
[] [{'action': '(move-curb-to-curb car_2 curb_0 curb_2)', 'failure_stage': 'diagram generation', 'error': 'Action verification failed: Curb_2 is not clear, violating a precondition for the action.'}, {'action': '(move-curb-to-curb car_0 curb_2 curb_0)', 'failure_stage': 'diagram generation', 'error': 'Action verification failed: '}] (move-curb-to-curb car_0 curb_2 curb_0) To achieve the goal state, car_2 needs to be on curb_2, which is currently occupied by car_0. By moving car_0 from curb_2 to curb_0 using move-curb-to-curb, curb_2 will be free, allowing car_2 to move there.
All previous actions: (['(move-curb-to-curb car_2 curb_0 curb_2)', '(move-curb-to-curb car_0 curb_2 curb_0)'], '(move-curb-to-curb car_0 curb_2 curb_0)')
Action '(move-curb-to-curb car_0 curb_2 curb_0)' rejected: it has already been chosen from this state.
attempt number 4 for getting child states (temp = 1.1)
API Call 130: In=3257, Out=214, Cost=$0.0195 (Total: $3.0210)
[] [{'action': '(move-curb-to-curb car_2 curb_0 curb_2)', 'failure_stage': 'diagram generation', 'error': 'Action verification failed: Curb_2 is not clear, violating a precondition for the action.'}, {'action': '(move-curb-to-curb car_0 curb_2 curb_0)', 'failure_stage': 'diagram generation', 'error': 'Action verification failed: '}, {'action': '(move-curb-to-curb car_0 curb_2 curb_0)', 'failure_stage': 'uniqueness check', 'error': 'Action was chosen for a second time and automatically rejected.'}] (move-curb-to-curb car_2 curb_0 curb_2) The goal is to set car_0 on curb_0, which is currently occupied by car_2. We will move car_2 to curb_2, which is currently clear with car_0. This brings us closer to placing each car at their goal curb.
All previous actions: (['(move-curb-to-curb car_2 curb_0 curb_2)', '(move-curb-to-curb car_0 curb_2 curb_0)', '(move-curb-to-curb car_0 curb_2 curb_0)'], '(move-curb-to-curb car_2 curb_0 curb_2)')
Action '(move-curb-to-curb car_2 curb_0 curb_2)' rejected: it has already been chosen from this state.
Expanding state 15
attempt number 1 for getting child states (temp = 0.5)
API Call 131: In=2995, Out=164, Cost=$0.0174 (Total: $3.0384)
[] [] (move-curb-to-curb car_0 curb_2 curb_0) To achieve the goal state, we need to clear curb_3 by moving car_2 to curb_2, which is currently occupied by car_0. Moving car_0 to the empty curb_0 will free up curb_2 for car_2.
All previous actions: ([], '(move-curb-to-curb car_0 curb_2 curb_0)')
created the 1th child state (temp = 0.5)
Getting diagram of state 19
Generating diagram encoding - single attempt
API Call 132: In=2738, Out=258, Cost=$0.0176 (Total: $3.0560)
API Call 133: In=3138, Out=644, Cost=$0.0254 (Total: $3.0813)
Diagram encoding is valid.
Generating diagram code - attempt 1
API Call 134: In=4751, Out=615, Cost=$0.0330 (Total: $3.1143)
API Call 135: In=4539, Out=532, Cost=$0.0307 (Total: $3.1450)
Successfully generated & tested diagram for state 19
API Call 136: In=4371, Out=556, Cost=$0.0302 (Total: $3.1752)
successfully verified the action of new state 19 with the path: The last action `(move-curb-to-curb car_0 curb_2 curb_0)` is valid as it satisfies all preconditions and effects. The current state's natural language description and visualization are accurate, reflecting the sequence of actions taken. The action moves car_0 to its correct position, bringing the state closer to the goal.
API Call 137: In=2995, Out=481, Cost=$0.0222 (Total: $3.1974)
attempt number 2 for getting child states (temp = 0.8)
API Call 138: In=3109, Out=166, Cost=$0.0180 (Total: $3.2154)
[{'action': '(move-curb-to-curb car_0 curb_2 curb_0)', 'child_id': 19}] [] (move-car-to-curb car_2 car_3 curb_0) To meet the goal, car_2 needs to be moved to curb_2. Since car_2 is double parked behind car_3, we can move car_2 to the empty curb_0 using the `move-car-to-curb` action. This will free up space for future moves.
All previous actions: (['(move-curb-to-curb car_0 curb_2 curb_0)'], '(move-car-to-curb car_2 car_3 curb_0)')
created the 2th child state (temp = 0.8)
Getting diagram of state 20
Generating diagram encoding - single attempt
API Call 139: In=2732, Out=252, Cost=$0.0174 (Total: $3.2329)
API Call 140: In=3126, Out=716, Cost=$0.0264 (Total: $3.2592)
Diagram encoding is valid.
Generating diagram code - attempt 1
API Call 141: In=4739, Out=614, Cost=$0.0329 (Total: $3.2921)
API Call 142: In=4535, Out=517, Cost=$0.0304 (Total: $3.3226)
Action verification failed: Car_2 is moved to curb_0 instead of curb_2, not aligning with the goal state.
Child state 20 is invalid: Action verification failed: Car_2 is moved to curb_0 instead of curb_2, not aligning with the goal state.
attempt number 3 for getting child states (temp = 1.1)
API Call 143: In=3197, Out=157, Cost=$0.0183 (Total: $3.3409)
[{'action': '(move-curb-to-curb car_0 curb_2 curb_0)', 'child_id': 19}] [{'action': '(move-car-to-curb car_2 car_3 curb_0)', 'failure_stage': 'diagram generation', 'error': 'Action verification failed: Car_2 is moved to curb_0 instead of curb_2, not aligning with the goal state.'}] (move-car-to-curb car_2 car_3 curb_2) To advance towards the goal state, we should focus on freeing car_3 to move into curb_3 without obstruction. Moving car_2 from behind car_3 to curb_2 satisfies the goal condition for curb_2 and clears car_3 to be in its required final position.
All previous actions: (['(move-curb-to-curb car_0 curb_2 curb_0)', '(move-car-to-curb car_2 car_3 curb_0)'], '(move-car-to-curb car_2 car_3 curb_2)')
created the 2th child state (temp = 1.1)
Getting diagram of state 21
Generating diagram encoding - single attempt
API Call 144: In=2725, Out=248, Cost=$0.0173 (Total: $3.3583)
API Call 145: In=3115, Out=316, Cost=$0.0203 (Total: $3.3786)
Diagram encoding failed: car_0 is incorrectly placed in curb_2 in the child state.
Child state 21 is invalid: Diagram schema verification failed: car_0 is incorrectly placed in curb_2 in the child state.
attempt number 4 for getting child states (temp = 1.2)
API Call 146: In=3244, Out=154, Cost=$0.0185 (Total: $3.3971)
[{'action': '(move-curb-to-curb car_0 curb_2 curb_0)', 'child_id': 19}] [{'action': '(move-car-to-curb car_2 car_3 curb_0)', 'failure_stage': 'diagram generation', 'error': 'Action verification failed: Car_2 is moved to curb_0 instead of curb_2, not aligning with the goal state.'}, {'action': '(move-car-to-curb car_2 car_3 curb_2)', 'failure_stage': 'diagram generation', 'error': 'Diagram schema verification failed: car_0 is incorrectly placed in curb_2 in the child state.'}] (move-car-to-curb car_2 car_3 curb_2) I will move car_2 from behind car_3 in curb_3 to the empty curb_2. This aligns with our goal of eventually having car_2 parked in curb_2, bringing us closer to the desired final configuration by placing each car at its correct destination.
All previous actions: (['(move-curb-to-curb car_0 curb_2 curb_0)', '(move-car-to-curb car_2 car_3 curb_0)', '(move-car-to-curb car_2 car_3 curb_2)'], '(move-car-to-curb car_2 car_3 curb_2)')
Action '(move-car-to-curb car_2 car_3 curb_2)' rejected: it has already been chosen from this state.
Number of valid nodes at depth 5 (1) ≤ beam width (4), skipping ranking/pruning.
Expanding nodes at depth 5
Expanding state 19
attempt number 1 for getting child states (temp = 0.5)
API Call 147: In=3012, Out=180, Cost=$0.0178 (Total: $3.4149)
[] [] (move-car-to-curb car_2 car_3 curb_2) To get closer to the goal state, we need to move car_2 to curb_2. Since car_2 is currently double-parked behind car_3 in curb_3 and is clear, we can use the move-car-to-curb action to move car_2 to the empty curb_2. This will align car_2 with its goal position.
All previous actions: ([], '(move-car-to-curb car_2 car_3 curb_2)')
created the 1th child state (temp = 0.5)
Getting diagram of state 22
Generating diagram encoding - single attempt
API Call 148: In=2749, Out=252, Cost=$0.0175 (Total: $3.4324)
API Call 149: In=3143, Out=399, Cost=$0.0217 (Total: $3.4541)
Diagram encoding is valid.
Generating diagram code - attempt 1
API Call 150: In=4756, Out=614, Cost=$0.0330 (Total: $3.4871)
API Call 151: In=4566, Out=490, Cost=$0.0302 (Total: $3.5173)
Successfully generated & tested diagram for state 22
API Call 152: In=4376, Out=525, Cost=$0.0298 (Total: $3.5470)
successfully verified the action of new state 22 with the path: The last action `(move-car-to-curb car_2 car_3 curb_2)` is valid because all preconditions are satisfied in the parent state, and the effects are correctly reflected in the current state. The current state's natural language description, diagram encoding, and visualization are accurate and match the goal state. Therefore, the action and the current state are valid.
API Call 153: In=3006, Out=436, Cost=$0.0216 (Total: $3.5686)
Found goal!!
['(move-car-to-curb car_0 car_2 curb_2)', '(move-car-to-curb car_3 car_1 curb_3)', '(move-curb-to-car car_2 curb_0 car_0)', '(move-car-to-car car_2 car_0 car_3)', '(move-curb-to-curb car_0 curb_2 curb_0)', '(move-car-to-curb car_2 car_3 curb_2)']
Found goal!!
['(move-car-to-curb car_0 car_2 curb_2)', '(move-car-to-curb car_3 car_1 curb_3)', '(move-curb-to-car car_2 curb_0 car_0)', '(move-car-to-car car_2 car_0 car_3)', '(move-curb-to-curb car_0 curb_2 curb_0)', '(move-car-to-curb car_2 car_3 curb_2)']
Goal state and statistics recorded in <PATH_REMOVED>
API Call 154: In=1450, Out=95, Cost=$0.0087 (Total: $3.5773)
(move-car-to-curb car_0 car_2 curb_2)
(move-car-to-curb car_3 car_1 curb_3)
(move-curb-to-car car_2 curb_0 car_0)
(move-car-to-car car_2 car_0 car_3)
(move-curb-to-curb car_0 curb_2 curb_0)
(move-car-to-curb car_2 car_3 curb_2)
Goal state found.
