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Agent with Embeddings Results for First Time Live Game
Date
Agent Tag
Solved
Total Correct Groups
Embed Correct
LLM Correct
Manual Correct
Mistakes
NYT Difficulty Rating (out of 5)
Comments
2024-11-27
v0.7.0
Yes
4
1
3
N/A
2
3
2024-11-28
v0.7.0
Yes
4
1
3
N/A
2
1
1 one-away analysis correct
2024-11-29
v0.7.0
Yes
4
1
1
2
3
5
one-away analyis multiple groups led to wrong answer
2024-11-30
v0.7.0
No
0
0
0
N/A
4
3
Considered manual override for "____ dance" connection based on "modern, swing, tap" but did not think "jazz" was dance.
2024-12-01
v0.7.0
Yes
4
2
1
1
2
3
one-away recommendation would have been wrong but anlaysis allowed for correct manual override
2024-12-02
v0.7.1
Yes
4
0
2
2
3
5
reason for a one-away error and error of embedvec group were useful for the two manual overrrides
2024-12-03
v0.7.1
Yes
4
0
3
1
2
5
manual override when agent seemed stuck on award names
Transcipt
2024-11-27
Running Connection Solver Agent with EmbedVec Recommender 0.7.0
ENTERED SETUP_PUZZLE
Enter 'file' to read words from a file or 'image' to read words from an image: image
Please enter the image file location: /desktop/connection_puzzle_2024_11_27.png
Puzzle Words: ['rubber', 'baby', 'buggy', 'bumper', 'house', 'mirror', 'erratic', 'tribute', 'spotty', 'plant', 'pet', 'wedding', 'boy', 'grille', 'glitchy', 'rim']
Generating vocabulary for the words...this may take about a minute
Generating embeddings for the definitions
ENTERED EMBEDVEC_RECOMMENDER
found count: 0, mistake_count: 0
(96, 96)
(96, 96)
candidate_lists size: 69
EMBEDVEC_RECOMMENDER: RECOMMENDED WORDS ['buggy', 'erratic', 'glitchy', 'spotty'] with connection All words are related to inconsistency or errors, often used in the context of software or performance.
Is the recommendation accepted? (y/g/b/p/m/o/n): y
Recommendation ['buggy', 'erratic', 'glitchy', 'spotty'] is correct
ENTERED EMBEDVEC_RECOMMENDER
found count: 1, mistake_count: 0
(78, 78)
(78, 78)
candidate_lists size: 52
EMBEDVEC_RECOMMENDER: RECOMMENDED WORDS ['house', 'plant', 'rim', 'wedding'] with connection This group is the most unique as it involves actions and objects related to enclosing, positioning, surrounding, and uniting, which somewhat relate to construction or arrangement themes.
Is the recommendation accepted? (y/g/b/p/m/o/n): n
Recommendation ['house', 'plant', 'rim', 'wedding'] is incorrect
Changing the recommender from 'embedvec_recommender' to 'llm_recommender'
ENTERED LLM_RECOMMENDER
found count: 1, mistake_count: 1
attempt_count: 1
words_remaining: ['rim', 'grille', 'boy', 'wedding', 'pet', 'plant', 'tribute', 'mirror', 'house', 'bumper', 'baby', 'rubber']
LLM_RECOMMENDER: RECOMMENDED WORDS ['bumper', 'grille', 'mirror', 'rim'] with connection Car parts
Is the recommendation accepted? (y/g/b/p/m/o/n): g
Recommendation ['bumper', 'grille', 'mirror', 'rim'] is correct
ENTERED LLM_RECOMMENDER
found count: 2, mistake_count: 1
attempt_count: 1
words_remaining: ['rubber', 'baby', 'house', 'tribute', 'plant', 'pet', 'wedding', 'boy']
LLM_RECOMMENDER: RECOMMENDED WORDS ['baby', 'pet', 'plant', 'rubber'] with connection Types of 'Bottles'
Is the recommendation accepted? (y/g/b/p/m/o/n): n
Recommendation ['baby', 'pet', 'plant', 'rubber'] is incorrect
ENTERED LLM_RECOMMENDER
found count: 2, mistake_count: 2
attempt_count: 1
words_remaining: ['house', 'pet', 'tribute', 'wedding', 'rubber', 'plant', 'baby', 'boy']
LLM_RECOMMENDER: RECOMMENDED WORDS ['baby', 'house', 'pet', 'plant'] with connection types of sitting (house-sitting, pet-sitting, baby-sitting, plant-sitting)
Is the recommendation accepted? (y/g/b/p/m/o/n): b
Recommendation ['baby', 'house', 'pet', 'plant'] is correct
ENTERED LLM_RECOMMENDER
found count: 3, mistake_count: 2
attempt_count: 1
words_remaining: ['boy', 'rubber', 'wedding', 'tribute']
LLM_RECOMMENDER: RECOMMENDED WORDS ['boy', 'rubber', 'tribute', 'wedding'] with connection bands
Is the recommendation accepted? (y/g/b/p/m/o/n): p
Recommendation ['boy', 'rubber', 'tribute', 'wedding'] is correct
SOLVED THE CONNECTION PUZZLE!!!
FINAL PUZZLE STATE:
{ 'current_tool': 'llm_recommender',
'found_blue': True,
'found_count': 4,
'found_purple': True,
'found_yellow': True,
'invalid_connections': [ ( 'f8637918cc7a5e70910d3507a21be207',
['house', 'plant', 'rim', 'wedding']),
( 'fe0ac240e499086dbd962fe20feb16d6',
['baby', 'pet', 'plant', 'rubber'])],
'llm_retry_count': 0,
'llm_temperature': 0.7,
'mistake_count': 2,
'puzzle_status': 'initialized',
'recommendation_count': 6,
'recommended_connection': 'bands',
'recommended_correct': True,
'recommended_words': ['boy', 'rubber', 'tribute', 'wedding'],
'tool_status': 'puzzle_completed',
'tool_to_use': 'END',
'vocabulary_df': word definition embedding
0 rubber noun: A material made from the latex of rubber... [-0.0029741672333329916, -0.005072266329079866...
1 rubber noun: An eraser, typically used to remove penc... [0.029623767361044884, 0.0053335572592914104, ...
2 rubber noun: A rubber band, a loop of rubber used to ... [0.013461834751069546, 0.020490994676947594, -...
3 rubber noun: A condom, used as a contraceptive device. [0.04321873188018799, -0.01069163903594017, -0...
4 rubber noun: A person or thing that rubs, such as a r... [-0.0006955465069040656, -0.03208531066775322,...
.. ... ... ...
91 rim noun: The upper edge of a container, such as a... [0.0034040838945657015, -0.030736703425645828,...
92 rim verb: To provide with a rim or border. [0.017236772924661636, -0.013507178984582424, ...
93 rim verb: To form a rim around something. [0.03179699555039406, -0.007468243595212698, -...
94 rim verb: To encircle or surround, often with a ra... [0.0004717620031442493, -0.05975903198122978, ...
95 rim adjective: Describing something that is at or ... [0.013327239081263542, -0.005924480967223644, ...
[78 rows x 3 columns],
'words_remaining': [],
'workflow_instructions': '**Instructions**\n'
'\n'
'use "setup_puzzle" tool to initialize the puzzle '
'if the "puzzle_status" is not initialized.\n'
'\n'
'if "tool_status" is "puzzle_completed" then use '
'"END" tool.\n'
'\n'
'Use the table to select the appropriate tool.\n'
'\n'
'|current_tool| tool_status | tool |\n'
'| --- | --- | --- |\n'
'|setup_puzzle| initialized | '
'get_embedvec_recommendation |\n'
'|embedvec_recommender| next_recommendation | '
'get_embedvec_recommendation |\n'
'|embedvec_recommender| have_recommendation | '
'apply_recommendation |\n'
'|llm_recommender| next_recommendation | '
'get_llm_recommendation |\n'
'|llm_recommender| have_recommendation | '
'apply_recommendation |\n'
'|llm_recommender| manual_recommendation | '
'get_manual_recommendation |\n'
'|manual_recommender| have_recommendation | '
'apply_recommendation |\n'
'|manual_recommender| next_recommendation | '
'get_llm_recommendation |\n'
'\n'
'If no tool is selected, use "ABORT" tool.\n'}
2024-11-28
Running Connection Solver Agent with EmbedVec Recommender 0.7.0
ENTERED SETUP_PUZZLE
Enter 'file' to read words from a file or 'image' to read words from an image: image
Please enter the image file location: /desktop/connection_puzzle_2024_11_28.png
Puzzle Words: ['quack', 'gobble', 'thanks', 'giving', 'fat', 'taco', 'bolt', 'praise', 'super', 'credit', 'con', 'down', 'cheat', 'scarf', 'fake', 'recognition']
Generating vocabulary for the words...this may take about a minute
Generating embeddings for the definitions
ENTERED EMBEDVEC_RECOMMENDER
found count: 0, mistake_count: 0
(109, 109)
(109, 109)
candidate_lists size: 59
EMBEDVEC_RECOMMENDER: RECOMMENDED WORDS ['cheat', 'con', 'fake', 'quack'] with connection These words are connected by the theme of deception or fraud.
Is the recommendation accepted? (y/g/b/p/m/o/n): g
Recommendation ['cheat', 'con', 'fake', 'quack'] is correct
ENTERED EMBEDVEC_RECOMMENDER
found count: 1, mistake_count: 0
(80, 80)
(80, 80)
candidate_lists size: 43
EMBEDVEC_RECOMMENDER: RECOMMENDED WORDS ['bolt', 'gobble', 'scarf', 'taco'] with connection The group 'bolt', 'gobble', 'scarf', 'taco' is connected by the theme of eating quickly or greedily, which is distinct from the other groups focused on acknowledgment or recognition.
Is the recommendation accepted? (y/g/b/p/m/o/n): n
Recommendation ['bolt', 'gobble', 'scarf', 'taco'] is incorrect
Changing the recommender from 'embedvec_recommender' to 'llm_recommender'
ENTERED LLM_RECOMMENDER
found count: 1, mistake_count: 1
attempt_count: 1
words_remaining: ['gobble', 'credit', 'thanks', 'fat', 'recognition', 'taco', 'praise', 'super', 'down', 'scarf', 'bolt', 'giving']
LLM_RECOMMENDER: RECOMMENDED WORDS ['bolt', 'down', 'gobble', 'scarf'] with connection Ways to eat quickly
Is the recommendation accepted? (y/g/b/p/m/o/n): b
Recommendation ['bolt', 'down', 'gobble', 'scarf'] is correct
ENTERED LLM_RECOMMENDER
found count: 2, mistake_count: 1
attempt_count: 1
words_remaining: ['recognition', 'thanks', 'fat', 'taco', 'credit', 'giving', 'praise', 'super']
LLM_RECOMMENDER: RECOMMENDED WORDS ['giving', 'praise', 'recognition', 'thanks'] with connection Expressions of gratitude
Is the recommendation accepted? (y/g/b/p/m/o/n): o
Recommendation ['giving', 'praise', 'recognition', 'thanks'] is incorrect, one away from correct
>>>Number of single topic groups: 4
More than one single-topic group recommendations, selecting one at random.
>>>Selected single-topic group:
Recommended Group: ('praise', 'recognition', 'thanks')
Connection Description: All three words—praise, recognition, and thanks—can be related to the single topic of 'acknowledgment or appreciation'. In common contexts, 'praise' is often given to express admiration or approval for someone's actions or qualities, 'recognition' involves acknowledging someone's efforts or achievements, and 'thanks' is an expression of gratitude. These words are frequently used in contexts where someone is being acknowledged or appreciated for their contributions, efforts, or positive actions, indicating a shared context of expressing acknowledgment or appreciation.
>>>One-away group recommendations:
one_away_group_recommendation is a new recommendation
using one_away_group_recommendation
LLM_RECOMMENDER: RECOMMENDED WORDS ['credit', 'praise', 'recognition', 'thanks'] with connection The common connection among the anchor words 'praise', 'recognition', and 'thanks' is appreciation or acknowledgment. 'Credit' is most connected to this theme as it often refers to acknowledgment of someone's contribution or achievement, which aligns with the concept of praise and recognition.
Is the recommendation accepted? (y/g/b/p/m/o/n): y
Recommendation ['credit', 'praise', 'recognition', 'thanks'] is correct
ENTERED LLM_RECOMMENDER
found count: 3, mistake_count: 2
attempt_count: 1
words_remaining: ['taco', 'super', 'fat', 'giving']
LLM_RECOMMENDER: RECOMMENDED WORDS ['fat', 'giving', 'super', 'taco'] with connection ___ bowl
Is the recommendation accepted? (y/g/b/p/m/o/n): p
Recommendation ['fat', 'giving', 'super', 'taco'] is correct
SOLVED THE CONNECTION PUZZLE!!!
FINAL PUZZLE STATE:
{ 'current_tool': 'llm_recommender',
'found_blue': True,
'found_count': 4,
'found_purple': True,
'found_yellow': True,
'invalid_connections': [ ( '4b20ad5392df3744bf9d388a09b85185',
['bolt', 'gobble', 'scarf', 'taco']),
( 'fe6a0e4656d7b9ab55056c7cf5a88daa',
[ 'giving',
'praise',
'recognition',
'thanks'])],
'llm_retry_count': 0,
'llm_temperature': 0.7,
'mistake_count': 2,
'puzzle_status': 'initialized',
'recommendation_count': 6,
'recommended_connection': '___ bowl',
'recommended_correct': True,
'recommended_words': ['fat', 'giving', 'super', 'taco'],
'tool_status': 'puzzle_completed',
'tool_to_use': 'END',
'vocabulary_df': word definition embedding
7 gobble verb: to eat quickly and greedily, often noisily [0.01783241704106331, 0.010194449685513973, -0...
8 gobble verb: to make a sound resembling a turkey's call [0.006743183825165033, -0.012973967008292675, ...
9 gobble noun: the act of eating something quickly and ... [0.0007254454540088773, 0.00038907842827029526...
10 gobble noun: a guttural, throaty sound resembling tha... [-0.03110772930085659, 0.005031763110309839, -...
11 thanks noun: An expression of gratitude or appreciati... [-0.004966954700648785, -0.008367429487407207,...
.. ... ... ...
104 recognition noun: Appreciation or acclaim for an achieveme... [0.052817560732364655, -0.028615642338991165, ...
105 recognition noun: The ability of a computer or other machi... [-0.010542609728872776, 0.018932567909359932, ...
106 recognition noun: Formal acceptance of a state or governme... [0.018155110999941826, -0.02136995643377304, 0...
107 recognition noun: Acknowledgment or acceptance of the vali... [0.050691377371549606, 0.011425288394093513, -...
108 recognition noun: The action of acknowledging someone's ha... [0.024250080808997154, -0.03631872683763504, -...
[80 rows x 3 columns],
'words_remaining': [],
'workflow_instructions': '**Instructions**\n'
'\n'
'use "setup_puzzle" tool to initialize the puzzle '
'if the "puzzle_status" is not initialized.\n'
'\n'
'if "tool_status" is "puzzle_completed" then use '
'"END" tool.\n'
'\n'
'Use the table to select the appropriate tool.\n'
'\n'
'|current_tool| tool_status | tool |\n'
'| --- | --- | --- |\n'
'|setup_puzzle| initialized | '
'get_embedvec_recommendation |\n'
'|embedvec_recommender| next_recommendation | '
'get_embedvec_recommendation |\n'
'|embedvec_recommender| have_recommendation | '
'apply_recommendation |\n'
'|llm_recommender| next_recommendation | '
'get_llm_recommendation |\n'
'|llm_recommender| have_recommendation | '
'apply_recommendation |\n'
'|llm_recommender| manual_recommendation | '
'get_manual_recommendation |\n'
'|manual_recommender| have_recommendation | '
'apply_recommendation |\n'
'|manual_recommender| next_recommendation | '
'get_llm_recommendation |\n'
'\n'
'If no tool is selected, use "ABORT" tool.\n'}
2024-11-29
Running Connection Solver Agent with EmbedVec Recommender 0.7.0
ENTERED SETUP_PUZZLE
Enter 'file' to read words from a file or 'image' to read words from an image: image
Please enter the image file location: /desktop/connection_puzzle_2024_11_29.png
Puzzle Words: ['endeavor', 'curb', 'national', 'boardwalk', 'hertz', 'twin', 'mole', 'enterprise', 'silicon', 'project', 'tiger', 'volt', 'game', 'ray', 'second', 'venture']
Generating vocabulary for the words...this may take about a minute
Generating embeddings for the definitions
ENTERED EMBEDVEC_RECOMMENDER
found count: 0, mistake_count: 0
(95, 95)
(95, 95)
candidate_lists size: 72
EMBEDVEC_RECOMMENDER: RECOMMENDED WORDS ['endeavor', 'enterprise', 'project', 'venture'] with connection All four words are connected by the theme of a planned undertaking or business initiative, often involving effort or risk.
Is the recommendation accepted? (y/g/b/p/m/o/n): y
Recommendation ['endeavor', 'enterprise', 'project', 'venture'] is correct
ENTERED EMBEDVEC_RECOMMENDER
found count: 1, mistake_count: 0
(74, 74)
(74, 74)
candidate_lists size: 52
EMBEDVEC_RECOMMENDER: RECOMMENDED WORDS ['hertz', 'mole', 'ray', 'second'] with connection These words are all units of measurement in different scientific contexts, such as frequency, chemistry, geometry, and time.
Is the recommendation accepted? (y/g/b/p/m/o/n): n
Recommendation ['hertz', 'mole', 'ray', 'second'] is incorrect
Changing the recommender from 'embedvec_recommender' to 'llm_recommender'
ENTERED LLM_RECOMMENDER
found count: 1, mistake_count: 1
attempt_count: 1
words_remaining: ['hertz', 'curb', 'ray', 'tiger', 'boardwalk', 'game', 'twin', 'volt', 'silicon', 'mole', 'second', 'national']
LLM_RECOMMENDER: RECOMMENDED WORDS ['hertz', 'ray', 'second', 'volt'] with connection Units of Measurement
Is the recommendation accepted? (y/g/b/p/m/o/n): o
Recommendation ['hertz', 'ray', 'second', 'volt'] is incorrect, one away from correct
>>>Number of single topic groups: 4
More than one single-topic group recommendations, selecting one at random.
>>>Selected single-topic group:
Recommended Group: ('hertz', 'ray', 'volt')
Connection Description: The three words 'hertz', 'ray', and 'volt' can all be related to the single topic of physics, specifically in the context of electromagnetism and wave phenomena. 'Hertz' is a unit of frequency, referring to cycles per second in sound waves or electromagnetic waves. 'Ray' can refer to light rays or electromagnetic radiation in general. 'Volt' is a unit of electric potential difference or electromotive force. All three terms are commonly used in discussions about electromagnetic waves, electricity, and related physical phenomena.
>>>One-away group recommendations:
one_away_group_recommendation is a new recommendation
using one_away_group_recommendation
LLM_RECOMMENDER: RECOMMENDED WORDS ['hertz', 'ray', 'silicon', 'volt'] with connection The common connection among the anchor words 'hertz', 'ray', and 'volt' is that they are all related to physics and electronics. 'Hertz' is a unit of frequency, 'ray' can refer to electromagnetic radiation, and 'volt' is a unit of electric potential. 'Silicon' is the most connected candidate word as it is a fundamental material used in electronics and semiconductor manufacturing, which relates to the physical and electronic concepts linked with the anchor words.
Is the recommendation accepted? (y/g/b/p/m/o/n): m
Changing to manual_recommender
ENTERED MANUAL_RECOMMENDER
found count: 1, mistake_count: 2
Current recommendation: ['hertz', 'ray', 'silicon', 'volt']
Words remaining: ['hertz', 'curb', 'ray', 'tiger', 'boardwalk', 'game', 'twin', 'volt', 'silicon', 'mole', 'second', 'national']
Enter manual recommendation as comma separated words: hertz,mold,second,volt
Manual recommendation: ['hertz', 'mold', 'second', 'volt']
Manual recommendation is not a subset of words remaining or not 4 words
try again
Enter manual recommendation as comma separated words: hertz,mole,second,volt
Manual recommendation: ['hertz', 'mole', 'second', 'volt']
Is the manual recommendation correct? (y/n): y
Enter manual connection: scientific measurements
Manual connection: scientific measurements
Is the manual connection correct? (y/n): y
MANUAL_RECOMMENDER: RECOMMENDED WORDS ['hertz', 'mole', 'second', 'volt'] with connection scientific measurements
Is the recommendation accepted? (y/g/b/p/m/o/n): g
Recommendation ['hertz', 'mole', 'second', 'volt'] is correct
ENTERED LLM_RECOMMENDER
found count: 2, mistake_count: 2
attempt_count: 1
words_remaining: ['boardwalk', 'tiger', 'national', 'game', 'silicon', 'ray', 'curb', 'twin']
LLM_RECOMMENDER: RECOMMENDED WORDS ['boardwalk', 'national', 'silicon', 'twin'] with connection famous places
Is the recommendation accepted? (y/g/b/p/m/o/n): n
Recommendation ['boardwalk', 'national', 'silicon', 'twin'] is incorrect
ENTERED LLM_RECOMMENDER
found count: 2, mistake_count: 3
attempt_count: 1
words_remaining: ['twin', 'curb', 'ray', 'silicon', 'game', 'national', 'tiger', 'boardwalk']
LLM_RECOMMENDER: RECOMMENDED WORDS ['curb', 'ray', 'tiger', 'twin'] with connection Types of TV Shows
Is the recommendation accepted? (y/g/b/p/m/o/n): m
Changing to manual_recommender
ENTERED MANUAL_RECOMMENDER
found count: 2, mistake_count: 3
Current recommendation: ['curb', 'ray', 'tiger', 'twin']
Words remaining: ['twin', 'curb', 'ray', 'silicon', 'game', 'national', 'tiger', 'boardwalk']
Enter manual recommendation as comma separated words: twin,ray,national,tiger
Manual recommendation: ['twin', 'ray', 'national', 'tiger']
Is the manual recommendation correct? (y/n): y
Enter manual connection: baseball teams
Manual connection: baseball teams
Is the manual connection correct? (y/n): y
MANUAL_RECOMMENDER: RECOMMENDED WORDS ['national', 'ray', 'tiger', 'twin'] with connection baseball teams
Is the recommendation accepted? (y/g/b/p/m/o/n): b
Recommendation ['national', 'ray', 'tiger', 'twin'] is correct
ENTERED LLM_RECOMMENDER
found count: 3, mistake_count: 3
attempt_count: 1
words_remaining: ['boardwalk', 'game', 'silicon', 'curb']
LLM_RECOMMENDER: RECOMMENDED WORDS ['boardwalk', 'curb', 'game', 'silicon'] with connection monopoly
Is the recommendation accepted? (y/g/b/p/m/o/n): p
Recommendation ['boardwalk', 'curb', 'game', 'silicon'] is correct
SOLVED THE CONNECTION PUZZLE!!!
FINAL PUZZLE STATE:
{ 'current_tool': 'llm_recommender',
'found_blue': True,
'found_count': 4,
'found_purple': True,
'found_yellow': True,
'invalid_connections': [ ( 'a02221d87218ac632fa5df82d5f4a39d',
['hertz', 'mole', 'ray', 'second']),
( '6bd947b2dd53542e5e04b8788e1f7b8b',
['hertz', 'ray', 'second', 'volt']),
( 'cdfaf2196d6f3b6c569a392ce479e3b1',
[ 'boardwalk',
'national',
'silicon',
'twin'])],
'llm_retry_count': 0,
'llm_temperature': 0.7,
'mistake_count': 3,
'puzzle_status': 'initialized',
'recommendation_count': 9,
'recommended_connection': 'monopoly',
'recommended_correct': True,
'recommended_words': ['boardwalk', 'curb', 'game', 'silicon'],
'tool_status': 'puzzle_completed',
'tool_to_use': 'END',
'vocabulary_df': word definition embedding
4 curb noun: A raised edge or barrier, typically made... [0.015298040583729744, -0.05758200213313103, 0...
5 curb noun: A check or restraint on something, such ... [0.04229077696800232, 0.03149769455194473, -0....
6 curb verb: To restrain or keep in check, as in 'to ... [0.03918059915304184, 0.010917642153799534, -0...
7 curb verb: To provide with a curb, as in 'to curb a... [0.022792823612689972, -0.009723900817334652, ...
8 national noun: A person who is a citizen of a particula... [0.017701802775263786, 0.02486376278102398, 0....
.. ... ... ...
84 second verb: To transfer temporarily to another job o... [-0.02243683859705925, -0.0031846456695348024,...
85 second adjective: Coming next after the first in a se... [0.002419213065877557, -0.043598324060440063, ...
86 second adjective: Of lower quality or condition, as i... [-0.0022430606186389923, 0.023002007976174355,...
87 second adverb: In the second place, as in a sequence ... [0.01903216913342476, -0.027838099747896194, -...
88 second adverb: Again, as in a repeated occurrence. [0.03092564269900322, -0.014355667866766453, -...
[74 rows x 3 columns],
'words_remaining': [],
'workflow_instructions': '**Instructions**\n'
'\n'
'use "setup_puzzle" tool to initialize the puzzle '
'if the "puzzle_status" is not initialized.\n'
'\n'
'if "tool_status" is "puzzle_completed" then use '
'"END" tool.\n'
'\n'
'Use the table to select the appropriate tool.\n'
'\n'
'|current_tool| tool_status | tool |\n'
'| --- | --- | --- |\n'
'|setup_puzzle| initialized | '
'get_embedvec_recommendation |\n'
'|embedvec_recommender| next_recommendation | '
'get_embedvec_recommendation |\n'
'|embedvec_recommender| have_recommendation | '
'apply_recommendation |\n'
'|llm_recommender| next_recommendation | '
'get_llm_recommendation |\n'
'|llm_recommender| have_recommendation | '
'apply_recommendation |\n'
'|llm_recommender| manual_recommendation | '
'get_manual_recommendation |\n'
'|manual_recommender| have_recommendation | '
'apply_recommendation |\n'
'|manual_recommender| next_recommendation | '
'get_llm_recommendation |\n'
'\n'
'If no tool is selected, use "ABORT" tool.\n'}
2024-11-30
Running Connection Solver Agent with EmbedVec Recommender 0.7.0
ENTERED SETUP_PUZZLE
Enter 'file' to read words from a file or 'image' to read words from an image: image
Please enter the image file location: /desktop/connection_puzzle_2024_11_30.png
Puzzle Words: ['rock', 'palm', 'fast', 'modern', 'nail', 'swing', 'screw', 'knuckle', 'pocket', 'ace', 'tap', 'swipe', 'curve', 'jazz', 'lift', 'crush']
Generating vocabulary for the words...this may take about a minute
Generating embeddings for the definitions
ENTERED EMBEDVEC_RECOMMENDER
found count: 0, mistake_count: 0
(135, 135)
(135, 135)
candidate_lists size: 97
EMBEDVEC_RECOMMENDER: RECOMMENDED WORDS ['jazz', 'rock', 'swing', 'tap'] with connection All words relate to music or dance genres and movements, with connections to rhythm and performance.
Is the recommendation accepted? (y/g/b/p/m/o/n): n
Recommendation ['jazz', 'rock', 'swing', 'tap'] is incorrect
Changing the recommender from 'embedvec_recommender' to 'llm_recommender'
ENTERED LLM_RECOMMENDER
found count: 0, mistake_count: 1
attempt_count: 1
words_remaining: ['crush', 'lift', 'jazz', 'curve', 'swipe', 'tap', 'ace', 'pocket', 'knuckle', 'screw', 'swing', 'nail', 'modern', 'fast', 'palm', 'rock']
LLM_RECOMMENDER: RECOMMENDED WORDS ['crush', 'pocket', 'swipe', 'tap'] with connection Smartphone interactions or actions
Is the recommendation accepted? (y/g/b/p/m/o/n): n
Recommendation ['crush', 'pocket', 'swipe', 'tap'] is incorrect
ENTERED LLM_RECOMMENDER
found count: 0, mistake_count: 2
attempt_count: 1
words_remaining: ['rock', 'palm', 'fast', 'modern', 'nail', 'swing', 'screw', 'knuckle', 'pocket', 'ace', 'tap', 'swipe', 'curve', 'jazz', 'lift', 'crush']
LLM_RECOMMENDER: RECOMMENDED WORDS ['curve', 'jazz', 'rock', 'swing'] with connection Types of music or musical genres
Is the recommendation accepted? (y/g/b/p/m/o/n): n
Recommendation ['curve', 'jazz', 'rock', 'swing'] is incorrect
ENTERED LLM_RECOMMENDER
found count: 0, mistake_count: 3
attempt_count: 1
words_remaining: ['crush', 'lift', 'jazz', 'curve', 'swipe', 'tap', 'ace', 'pocket', 'knuckle', 'screw', 'swing', 'nail', 'modern', 'fast', 'palm', 'rock']
LLM_RECOMMENDER: RECOMMENDED WORDS ['crush', 'lift', 'swipe', 'tap'] with connection Actions involving physical movement
Is the recommendation accepted? (y/g/b/p/m/o/n): n
FAILED TO SOLVE THE CONNECTION PUZZLE TOO MANY MISTAKES!!!
FINAL PUZZLE STATE:
{ 'current_tool': 'llm_recommender',
'found_count': 0,
'invalid_connections': [ ( '92bff2bd361d887cf1730b1608e79f79',
['jazz', 'rock', 'swing', 'tap']),
( '36f608fcad8e4a2acf5ac526d7a544e3',
['crush', 'pocket', 'swipe', 'tap']),
( '50a372133f57fd3fdba07899ba07d427',
['curve', 'jazz', 'rock', 'swing']),
( '6ca90b5905ddc93720878e47f7acc003',
['crush', 'lift', 'swipe', 'tap'])],
'llm_retry_count': 0,
'llm_temperature': 0.7,
'mistake_count': 4,
'puzzle_status': 'initialized',
'recommendation_count': 4,
'recommended_connection': '',
'recommended_correct': False,
'recommended_words': [],
'tool_status': 'puzzle_completed',
'tool_to_use': 'END',
'vocabulary_df': word ... embedding
0 rock ... [-0.03385302424430847, 0.01978747732937336, 0....
1 rock ... [-0.0030667625833302736, -0.037152934819459915...
2 rock ... [-0.03304039686918259, -0.005039730574935675, ...
3 rock ... [0.0009993929415941238, 0.0132753886282444, -0...
4 rock ... [-0.012014180421829224, -0.031371016055345535,...
.. ... ... ...
130 crush ... [0.014357254840433598, 0.023483851924538612, -...
131 crush ... [0.025249477475881577, -0.012217842973768711, ...
132 crush ... [0.002970759989693761, -0.019149478524923325, ...
133 crush ... [-0.02796003594994545, -0.030240138992667198, ...
134 crush ... [-0.014921548776328564, 0.0031180153600871563,...
[135 rows x 3 columns],
'words_remaining': [ 'crush',
'lift',
'jazz',
'curve',
'swipe',
'tap',
'ace',
'pocket',
'knuckle',
'screw',
'swing',
'nail',
'modern',
'fast',
'palm',
'rock'],
'workflow_instructions': '**Instructions**\n'
'\n'
'use "setup_puzzle" tool to initialize the puzzle '
'if the "puzzle_status" is not initialized.\n'
'\n'
'if "tool_status" is "puzzle_completed" then use '
'"END" tool.\n'
'\n'
'Use the table to select the appropriate tool.\n'
'\n'
'|current_tool| tool_status | tool |\n'
'| --- | --- | --- |\n'
'|setup_puzzle| initialized | '
'get_embedvec_recommendation |\n'
'|embedvec_recommender| next_recommendation | '
'get_embedvec_recommendation |\n'
'|embedvec_recommender| have_recommendation | '
'apply_recommendation |\n'
'|llm_recommender| next_recommendation | '
'get_llm_recommendation |\n'
'|llm_recommender| have_recommendation | '
'apply_recommendation |\n'
'|llm_recommender| manual_recommendation | '
'get_manual_recommendation |\n'
'|manual_recommender| have_recommendation | '
'apply_recommendation |\n'
'|manual_recommender| next_recommendation | '
'get_llm_recommendation |\n'
'\n'
'If no tool is selected, use "ABORT" tool.\n'}
2024-12-01
Running Connection Solver Agent with EmbedVec Recommender 0.7.0
ENTERED SETUP_PUZZLE
Enter 'file' to read words from a file or 'image' to read words from an image: image
Please enter the image file location: /desktop/connection_puzzle_2024_12_01.png
Puzzle Words: ['solo', 'jersey', 'willy', 'wonka', 'york', 'haven', 'kinder', 'bird', 'pads', 'charms', 'port', 'helmet', 'retreat', 'fallin’', 'cleats', 'shelter']
Generating vocabulary for the words...this may take about a minute
Generating embeddings for the definitions
ENTERED EMBEDVEC_RECOMMENDER
found count: 0, mistake_count: 0
(91, 91)
(91, 91)
candidate_lists size: 61
EMBEDVEC_RECOMMENDER: RECOMMENDED WORDS ['haven', 'port', 'retreat', 'shelter'] with connection All four words are connected by the theme of safety and refuge.
Is the recommendation accepted? (y/g/b/p/m/o/n): y
Recommendation ['haven', 'port', 'retreat', 'shelter'] is correct
ENTERED EMBEDVEC_RECOMMENDER
found count: 1, mistake_count: 0
(63, 63)
(63, 63)
candidate_lists size: 47
EMBEDVEC_RECOMMENDER: RECOMMENDED WORDS ['cleats', 'helmet', 'jersey', 'pads'] with connection The words are connected by the theme of sports equipment.
Is the recommendation accepted? (y/g/b/p/m/o/n): g
Recommendation ['cleats', 'helmet', 'jersey', 'pads'] is correct
ENTERED EMBEDVEC_RECOMMENDER
found count: 2, mistake_count: 0
(41, 41)
(41, 41)
candidate_lists size: 19
EMBEDVEC_RECOMMENDER: RECOMMENDED WORDS ['charms', 'fallin’', 'wonka', 'york'] with connection The group shares a theme of whimsical and playful behavior or attraction.
Is the recommendation accepted? (y/g/b/p/m/o/n): n
Recommendation ['charms', 'fallin’', 'wonka', 'york'] is incorrect
Changing the recommender from 'embedvec_recommender' to 'llm_recommender'
ENTERED LLM_RECOMMENDER
found count: 2, mistake_count: 1
attempt_count: 1
words_remaining: ['fallin’', 'charms', 'bird', 'kinder', 'york', 'wonka', 'willy', 'solo']
LLM_RECOMMENDER: RECOMMENDED WORDS ['bird', 'charms', 'kinder', 'wonka'] with connection Chocolate or Candy Brands
Is the recommendation accepted? (y/g/b/p/m/o/n): o
Recommendation ['bird', 'charms', 'kinder', 'wonka'] is incorrect, one away from correct
>>>Number of single topic groups: 1
Only one single-topic group recommendation found.
>>>Selected single-topic group:
Recommended Group: ('charms', 'kinder', 'wonka')
Connection Description: The three words 'charms', 'kinder', and 'wonka' can all be related to the topic of 'candy and confectionery brands'. 'Charms' refers to Charms Blow Pops, a type of lollipop. 'Kinder' refers to Kinder Chocolate, a well-known brand of chocolate products. 'Wonka' refers to the Willy Wonka Candy Company, which produces a variety of candies. Therefore, all three words can be connected through the context of candy brands.
>>>One-away group recommendations:
one_away_group_recommendation is a new recommendation
using one_away_group_recommendation
LLM_RECOMMENDER: RECOMMENDED WORDS ['charms', 'kinder', 'willy', 'wonka'] with connection The anchor words 'charms', 'kinder', and 'wonka' are all connected through the theme of candy or confectionery. 'Wonka' is directly related to the famous fictional character Willy Wonka, who is associated with candy-making. 'Charms' can refer to a brand of candies, and 'Kinder' is a well-known brand of chocolate. Among the candidate words, 'willy' is most closely connected to 'wonka' due to the character Willy Wonka, which aligns with the candy theme present in the anchor words.
Is the recommendation accepted? (y/g/b/p/m/o/n): m
Changing to manual_recommender
ENTERED MANUAL_RECOMMENDER
found count: 2, mistake_count: 2
Current recommendation: ['charms', 'kinder', 'willy', 'wonka']
Words remaining: ['fallin’', 'charms', 'bird', 'kinder', 'york', 'wonka', 'willy', 'solo']
Enter manual recommendation as comma separated words: charms,kinder,wonka,york
Manual recommendation: ['charms', 'kinder', 'wonka', 'york']
Is the manual recommendation correct? (y/n): y
Enter manual connection: candy brands
Manual connection: candy brands
Is the manual connection correct? (y/n): y
MANUAL_RECOMMENDER: RECOMMENDED WORDS ['charms', 'kinder', 'wonka', 'york'] with connection candy brands
Is the recommendation accepted? (y/g/b/p/m/o/n): b
Recommendation ['charms', 'kinder', 'wonka', 'york'] is correct
ENTERED LLM_RECOMMENDER
found count: 3, mistake_count: 2
attempt_count: 1
words_remaining: ['solo', 'willy', 'bird', 'fallin’']
LLM_RECOMMENDER: RECOMMENDED WORDS ['bird', 'fallin’', 'solo', 'willy'] with connection Songs by Jason Derulo
Is the recommendation accepted? (y/g/b/p/m/o/n): p
Recommendation ['bird', 'fallin’', 'solo', 'willy'] is correct
SOLVED THE CONNECTION PUZZLE!!!
FINAL PUZZLE STATE:
{ 'current_tool': 'llm_recommender',
'found_blue': True,
'found_count': 4,
'found_purple': True,
'found_yellow': True,
'invalid_connections': [ ( 'c13a22007a99b89219348e1c31412a26',
['charms', 'fallin’', 'wonka', 'york']),
( '49526a590ad7900729fdcfcb8ec02390',
['bird', 'charms', 'kinder', 'wonka'])],
'llm_retry_count': 0,
'llm_temperature': 0.7,
'mistake_count': 2,
'puzzle_status': 'initialized',
'recommendation_count': 7,
'recommended_connection': 'Songs by Jason Derulo',
'recommended_correct': True,
'recommended_words': ['bird', 'fallin’', 'solo', 'willy'],
'tool_status': 'puzzle_completed',
'tool_to_use': 'END',
'vocabulary_df': word definition embedding
0 solo noun: A performance by a single musician or si... [0.025122862309217453, -0.035583190619945526, ...
1 solo noun: A flight in an aircraft by a pilot witho... [-0.018418995663523674, 0.020970312878489494, ...
2 solo noun: An activity done by one person alone. [0.03272458538413048, -0.019820034503936768, 0...
3 solo verb: To perform something independently, espe... [0.020428162068128586, -0.03558209910988808, -...
4 solo verb: To fly an aircraft alone as a pilot. [0.024127090349793434, 0.0036412349436432123, ...
5 solo adjective: Done by one person alone, without a... [0.04494152218103409, -0.02626419998705387, -0...
6 solo adjective: Relating to or involving a single p... [0.03512776270508766, -0.019693516194820404, 0...
12 willy noun: A diminutive form of the given name Will... [0.06567360460758209, -0.006087134126573801, -...
13 willy noun: Slang term for the penis. [0.02043291926383972, 0.013734391890466213, -0...
14 willy adjective: (informal) Cunning or sly, often us... [0.03765929862856865, -0.01984456367790699, -0...
15 willy adverb: (informal) Used in the phrase 'willy-n... [0.03944842517375946, -0.002360066631808877, -...
16 wonka noun: A fictional character from Roald Dahl's ... [0.019055955111980438, -0.02849768102169037, -...
17 wonka noun: A whimsical or eccentric person, often u... [0.05442149192094803, -0.03300467133522034, -0...
18 wonka adjective: Describing something as quirky or f... [-0.010186650790274143, -0.023312237113714218,...
19 wonka verb: To behave in a whimsical or eccentric ma... [0.03439202904701233, -0.026470832526683807, -...
20 york noun: A city in northern England known for its... [0.01835756190121174, -0.019464708864688873, 0...
21 york noun: A breed of domestic pig known as the Yor... [0.013227039948105812, -0.005010242108255625, ...
22 york noun: A type of peppermint-flavored candy, spe... [0.006031121592968702, -0.017377806827425957, ...
23 york noun: A former royal house of England, the Hou... [0.002687248168513179, -0.0038988857995718718,...
24 york noun: A short form or nickname for New York, a... [-0.022479575127363205, -0.056550513952970505,...
25 york noun: A county in the state of Maine, United S... [-0.003888147184625268, -0.014330210164189339,...
26 york noun: A city in Pennsylvania, United States, k... [-0.00645493483170867, -0.04818279668688774, 0...
27 york verb: To engage in a playful or teasing action... [0.021402880549430847, 0.02271626889705658, -0...
32 kinder adjective: More kind or more gentle in compari... [0.017329802736639977, -0.05504888296127319, -...
33 kinder noun: A German term for children, often used i... [0.0014578462578356266, 0.021840350702404976, ...
34 bird noun: A warm-blooded egg-laying vertebrate ani... [0.06493067741394043, -0.01712469384074211, -0...
35 bird noun: A person, especially one having some pec... [0.03747756779193878, -0.004424982704222202, -...
36 bird noun: A shuttlecock used in the game of badmin... [0.04093985632061958, -0.03065836988389492, -0...
37 bird noun: A term used in golf to describe a score ... [0.010120217688381672, 0.00883171521127224, -0...
38 bird noun: Slang for a hand gesture used to express... [0.0050104958936572075, -0.007131616119295359,...
39 bird verb: To observe or identify wild birds as a h... [0.04736647009849548, 0.004804385360330343, -0...
48 charms noun: An object believed to have magical power... [0.05371074378490448, 0.014322864823043346, -0...
49 charms noun: The quality of being attractive or pleas... [0.03595871478319168, -0.05304696783423424, -0...
50 charms noun: A small piece of jewelry on a bracelet o... [0.007405537646263838, -0.008019223809242249, ...
51 charms verb: To attract or delight someone through en... [0.029503272846341133, -0.048001162707805634, ...
52 charms verb: To influence or control someone through ... [0.02287081442773342, -0.06459857523441315, -0...
53 charms verb: To bring good luck or protection to some... [0.04193776473402977, -0.044727034866809845, -...
75 fallin’ verb: fallin’ - the act of descending or dropp... [-0.04719547927379608, -0.009733421728014946, ...
76 fallin’ verb: fallin’ - experiencing a decrease in sta... [-0.036003656685352325, 0.003632561769336462, ...
77 fallin’ verb: fallin’ - becoming emotionally involved,... [-0.04393153637647629, -0.012858899310231209, ...
78 fallin’ verb: fallin’ - the act of being caught or tra... [-0.048077136278152466, -0.0032174410298466682...,
'words_remaining': [],
'workflow_instructions': '**Instructions**\n'
'\n'
'use "setup_puzzle" tool to initialize the puzzle '
'if the "puzzle_status" is not initialized.\n'
'\n'
'if "tool_status" is "puzzle_completed" then use '
'"END" tool.\n'
'\n'
'Use the table to select the appropriate tool.\n'
'\n'
'|current_tool| tool_status | tool |\n'
'| --- | --- | --- |\n'
'|setup_puzzle| initialized | '
'get_embedvec_recommendation |\n'
'|embedvec_recommender| next_recommendation | '
'get_embedvec_recommendation |\n'
'|embedvec_recommender| have_recommendation | '
'apply_recommendation |\n'
'|llm_recommender| next_recommendation | '
'get_llm_recommendation |\n'
'|llm_recommender| have_recommendation | '
'apply_recommendation |\n'
'|llm_recommender| manual_recommendation | '
'get_manual_recommendation |\n'
'|manual_recommender| have_recommendation | '
'apply_recommendation |\n'
'|manual_recommender| next_recommendation | '
'get_llm_recommendation |\n'
'\n'
'If no tool is selected, use "ABORT" tool.\n'}
2024-12-02
Running Connection Solver Agent with EmbedVec Recommender 0.7.1
Enter 'file' to read words from a file or 'image' to read words from an image: image
Please enter the file/image location: /desktop/connection_puzzle_2024_12_02.png
ENTERED SETUP_PUZZLE
Puzzle Words: ['trumpet', 'croquet', 'crocodile', 'paper', 'alligator', 'hair', 'whac-a-mole', 'herald', 'polo player', 'broadcast', 'laurel', 'xylophone', 'carpentry', 'video', 'swoosh', 'declare']
Generating vocabulary for the words...this may take about a minute
Generating embeddings for the definitions
Storing vocabulary in external database
ENTERED EMBEDVEC_RECOMMENDER
found count: 0, mistake_count: 0
(81, 81)
(81, 81)
candidate_lists size: 58
EMBEDVEC_RECOMMENDER: RECOMMENDED WORDS ['declare', 'herald', 'laurel', 'trumpet'] with connection The words are all related to announcing or celebrating achievements.
Is the recommendation accepted? (y/g/b/p/m/o/n): n
Recommendation ['declare', 'herald', 'laurel', 'trumpet'] is incorrect
Changing the recommender from 'embedvec_recommender' to 'llm_recommender'
ENTERED LLM_RECOMMENDER
found count: 0, mistake_count: 1
attempt_count: 1
words_remaining: ['declare', 'swoosh', 'video', 'carpentry', 'xylophone', 'laurel', 'broadcast', 'polo player', 'herald', 'whac-a-mole', 'hair', 'alligator', 'paper', 'crocodile', 'croquet', 'trumpet']
LLM_RECOMMENDER: RECOMMENDED WORDS ['broadcast', 'herald', 'swoosh', 'trumpet'] with connection related to sound or announcement
Is the recommendation accepted? (y/g/b/p/m/o/n): m
Changing to manual_recommender
ENTERED MANUAL_RECOMMENDER
found count: 0, mistake_count: 1
Current recommendation: ['broadcast', 'herald', 'swoosh', 'trumpet']
Words remaining: ['declare', 'swoosh', 'video', 'carpentry', 'xylophone', 'laurel', 'broadcast', 'polo player', 'herald', 'whac-a-mole', 'hair', 'alligator', 'paper', 'crocodile', 'croquet', 'trumpet']
Enter manual recommendation as comma separated words: declare,hearald,broadcast,trumpet
Manual recommendation: ['declare', 'hearald', 'broadcast', 'trumpet']
Manual recommendation is not a subset of words remaining or not 4 words
try again
Enter manual recommendation as comma separated words: declare,herald,broadcast,trumpet
Manual recommendation: ['declare', 'herald', 'broadcast', 'trumpet']
Is the manual recommendation correct? (y/n): y
Enter manual connection: announcements
Manual connection: announcements
Is the manual connection correct? (y/n): y
MANUAL_RECOMMENDER: RECOMMENDED WORDS ['broadcast', 'declare', 'herald', 'trumpet'] with connection announcements
Is the recommendation accepted? (y/g/b/p/m/o/n): y
Recommendation ['broadcast', 'declare', 'herald', 'trumpet'] is correct
ENTERED LLM_RECOMMENDER
found count: 1, mistake_count: 1
attempt_count: 1
words_remaining: ['croquet', 'crocodile', 'paper', 'alligator', 'hair', 'whac-a-mole', 'polo player', 'laurel', 'xylophone', 'carpentry', 'video', 'swoosh']
LLM_RECOMMENDER: RECOMMENDED WORDS ['croquet', 'polo player', 'video', 'whac-a-mole'] with connection Games
Is the recommendation accepted? (y/g/b/p/m/o/n): n
Recommendation ['croquet', 'polo player', 'video', 'whac-a-mole'] is incorrect
ENTERED LLM_RECOMMENDER
found count: 1, mistake_count: 2
attempt_count: 1
words_remaining: ['xylophone', 'carpentry', 'whac-a-mole', 'video', 'croquet', 'laurel', 'alligator', 'swoosh', 'polo player', 'hair', 'paper', 'crocodile']
LLM_RECOMMENDER: RECOMMENDED WORDS ['croquet', 'polo player', 'whac-a-mole', 'xylophone'] with connection Games or Activities involving hitting or striking
Is the recommendation accepted? (y/g/b/p/m/o/n): o
Recommendation ['croquet', 'polo player', 'whac-a-mole', 'xylophone'] is incorrect, one away from correct
ENTERED ONE-AWAY ANALYZER
found count: 1, mistake_count: 3
>>>Number of single topic groups: 0
No single-topic group recommendations found.
no one_away_group_recommendation, let llm_recommender try again
ENTERED LLM_RECOMMENDER
found count: 1, mistake_count: 3
attempt_count: 1
words_remaining: ['laurel', 'alligator', 'crocodile', 'xylophone', 'swoosh', 'hair', 'whac-a-mole', 'paper', 'video', 'carpentry', 'polo player', 'croquet']
LLM_RECOMMENDER: RECOMMENDED WORDS ['alligator', 'crocodile', 'polo player', 'swoosh'] with connection words that start with 'C' (Crocodile, Chomp, Chukker, Check)
Is the recommendation accepted? (y/g/b/p/m/o/n): m
Changing to manual_recommender
ENTERED MANUAL_RECOMMENDER
found count: 1, mistake_count: 3
Current recommendation: ['alligator', 'crocodile', 'polo player', 'swoosh']
Words remaining: ['laurel', 'alligator', 'crocodile', 'xylophone', 'swoosh', 'hair', 'whac-a-mole', 'paper', 'video', 'carpentry', 'polo player', 'croquet']
Enter manual recommendation as comma separated words: carpentry,xylophone,croquet,whac-a-mole
Manual recommendation: ['carpentry', 'xylophone', 'croquet', 'whac-a-mole']
Is the manual recommendation correct? (y/n): y
Enter manual connection: involves striking things
Manual connection: involves striking things
Is the manual connection correct? (y/n): y
MANUAL_RECOMMENDER: RECOMMENDED WORDS ['carpentry', 'croquet', 'whac-a-mole', 'xylophone'] with connection involves striking things
Is the recommendation accepted? (y/g/b/p/m/o/n): g
Recommendation ['carpentry', 'croquet', 'whac-a-mole', 'xylophone'] is correct
ENTERED LLM_RECOMMENDER
found count: 2, mistake_count: 3
attempt_count: 1
words_remaining: ['swoosh', 'polo player', 'paper', 'laurel', 'hair', 'video', 'crocodile', 'alligator']
LLM_RECOMMENDER: RECOMMENDED WORDS ['crocodile', 'laurel', 'polo player', 'swoosh'] with connection Logos for brands
Is the recommendation accepted? (y/g/b/p/m/o/n): b
Recommendation ['crocodile', 'laurel', 'polo player', 'swoosh'] is correct
ENTERED LLM_RECOMMENDER
found count: 3, mistake_count: 3
attempt_count: 1
words_remaining: ['alligator', 'video', 'hair', 'paper']
LLM_RECOMMENDER: RECOMMENDED WORDS ['alligator', 'hair', 'paper', 'video'] with connection clip
Is the recommendation accepted? (y/g/b/p/m/o/n): p
Recommendation ['alligator', 'hair', 'paper', 'video'] is correct
SOLVED THE CONNECTION PUZZLE!!!
FINAL PUZZLE STATE:
{ 'current_tool': 'llm_recommender',
'found_blue': True,
'found_count': 4,
'found_purple': True,
'found_yellow': True,
'invalid_connections': [ [ '3af459ab9799bda5e9fb22138cc6c11a',
['declare', 'herald', 'laurel', 'trumpet']],
[ '4177fe09e811fff5a3cf6c17cad12219',
[ 'croquet',
'polo player',
'video',
'whac-a-mole']],
[ '8476c7da748ce51de8262a583473c5bf',
[ 'croquet',
'polo player',
'whac-a-mole',
'xylophone']]],
'llm_retry_count': 0,
'llm_temperature': 0.7,
'mistake_count': 3,
'puzzle_source_fp': '/desktop/connection_puzzle_2024_12_02.png',
'puzzle_source_type': 'image',
'puzzle_status': 'initialized',
'recommendation_answer_status': 'p',
'recommendation_count': 9,
'recommended_connection': 'clip',
'recommended_correct': True,
'recommended_words': ['alligator', 'hair', 'paper', 'video'],
'tool_status': 'puzzle_completed',
'tool_to_use': 'END',
'vocabulary_db_fp': '/tmp/vocabulary.db',
'words_remaining': [],
'workflow_instructions': '**Instructions**\n'
'\n'
'use "setup_puzzle" tool to initialize the puzzle '
'if the "puzzle_status" is not initialized.\n'
'\n'
'if "tool_status" is "puzzle_completed" then use '
'"END" tool.\n'
'\n'
'Use the table to select the appropriate tool.\n'
'\n'
'|current_tool| tool_status | tool |\n'
'| --- | --- | --- |\n'
'|setup_puzzle| initialized | '
'get_embedvec_recommendation |\n'
'|embedvec_recommender| next_recommendation | '
'get_embedvec_recommendation |\n'
'|embedvec_recommender| have_recommendation | '
'apply_recommendation |\n'
'|llm_recommender| next_recommendation | '
'get_llm_recommendation |\n'
'|llm_recommender| have_recommendation | '
'apply_recommendation |\n'
'|llm_recommender| manual_recommendation | '
'get_manual_recommendation |\n'
'|manual_recommender| have_recommendation | '
'apply_recommendation |\n'
'|manual_recommender| next_recommendation | '
'get_llm_recommendation |\n'
'\n'
'If no tool is selected, use "ABORT" tool.\n'}
2024-12-03
Running Connection Solver Agent with EmbedVec Recommender 0.7.1
Enter 'file' to read words from a file or 'image' to read words from an image: image
Please enter the file/image location: /desktop/connection_puzzle_2024_12_03.png
ENTERED SETUP_PUZZLE
Puzzle Words: ['cookie', 'emmy', 'grammy', 'katie', 'junior', 'oscar', 'tony', 'pop', 'cece', 'mummy', 'count', 'meadow', 'snuffy', 'cuz', 'carmela', 'edie']
Generating vocabulary for the words...this may take about a minute
Generating embeddings for the definitions
Storing vocabulary in external database
ENTERED EMBEDVEC_RECOMMENDER
found count: 0, mistake_count: 0
(76, 76)
(76, 76)
candidate_lists size: 61
EMBEDVEC_RECOMMENDER: RECOMMENDED WORDS ['cece', 'cookie', 'cuz', 'grammy'] with connection All words are informal terms or nicknames used affectionately among family or friends.
Is the recommendation accepted? (y/g/b/p/m/o/n): n
Recommendation ['cece', 'cookie', 'cuz', 'grammy'] is incorrect
Changing the recommender from 'embedvec_recommender' to 'llm_recommender'
ENTERED LLM_RECOMMENDER
found count: 0, mistake_count: 1
attempt_count: 1
words_remaining: ['tony', 'cuz', 'carmela', 'count', 'edie', 'emmy', 'snuffy', 'mummy', 'katie', 'pop', 'cece', 'oscar', 'meadow', 'grammy', 'cookie', 'junior']
LLM_RECOMMENDER: RECOMMENDED WORDS ['carmela', 'junior', 'meadow', 'tony'] with connection Characters from 'The Sopranos'
Is the recommendation accepted? (y/g/b/p/m/o/n): y
Recommendation ['carmela', 'junior', 'meadow', 'tony'] is correct
ENTERED LLM_RECOMMENDER
found count: 1, mistake_count: 1
attempt_count: 1
words_remaining: ['katie', 'cece', 'emmy', 'snuffy', 'grammy', 'cuz', 'pop', 'cookie', 'edie', 'count', 'mummy', 'oscar']
LLM_RECOMMENDER: RECOMMENDED WORDS ['count', 'emmy', 'grammy', 'oscar'] with connection Awards
Is the recommendation accepted? (y/g/b/p/m/o/n): n
Recommendation ['count', 'emmy', 'grammy', 'oscar'] is incorrect
ENTERED LLM_RECOMMENDER
found count: 1, mistake_count: 2
attempt_count: 1
words_remaining: ['oscar', 'mummy', 'count', 'edie', 'cookie', 'pop', 'cuz', 'grammy', 'snuffy', 'emmy', 'cece', 'katie']
LLM_RECOMMENDER: RECOMMENDED WORDS ['edie', 'emmy', 'grammy', 'oscar'] with connection Award names
Is the recommendation accepted? (y/g/b/p/m/o/n): m
Changing to manual_recommender
ENTERED MANUAL_RECOMMENDER
found count: 1, mistake_count: 2
Current recommendation: ['edie', 'emmy', 'grammy', 'oscar']
Words remaining: ['oscar', 'mummy', 'count', 'edie', 'cookie', 'pop', 'cuz', 'grammy', 'snuffy', 'emmy', 'cece', 'katie']
Enter manual recommendation as comma separated words: pop,grammy,mummy,cuz
Manual recommendation: ['pop', 'grammy', 'mummy', 'cuz']
Is the manual recommendation correct? (y/n): y
Enter manual connection: informal family names
Manual connection: informal family names
Is the manual connection correct? (y/n): y
MANUAL_RECOMMENDER: RECOMMENDED WORDS ['cuz', 'grammy', 'mummy', 'pop'] with connection informal family names
Is the recommendation accepted? (y/g/b/p/m/o/n): g
Recommendation ['cuz', 'grammy', 'mummy', 'pop'] is correct
ENTERED LLM_RECOMMENDER
found count: 2, mistake_count: 2
attempt_count: 1
words_remaining: ['oscar', 'katie', 'count', 'snuffy', 'emmy', 'cece', 'edie', 'cookie']
LLM_RECOMMENDER: RECOMMENDED WORDS ['cookie', 'count', 'oscar', 'snuffy'] with connection Sesame Street characters
Is the recommendation accepted? (y/g/b/p/m/o/n): b
Recommendation ['cookie', 'count', 'oscar', 'snuffy'] is correct
ENTERED LLM_RECOMMENDER
found count: 3, mistake_count: 2
attempt_count: 1
words_remaining: ['edie', 'cece', 'emmy', 'katie']
LLM_RECOMMENDER: RECOMMENDED WORDS ['cece', 'edie', 'emmy', 'katie'] with connection Female given names
Is the recommendation accepted? (y/g/b/p/m/o/n): p
Recommendation ['cece', 'edie', 'emmy', 'katie'] is correct
SOLVED THE CONNECTION PUZZLE!!!
FINAL PUZZLE STATE:
{ 'current_tool': 'llm_recommender',
'found_blue': True,
'found_count': 4,
'found_purple': True,
'found_yellow': True,
'invalid_connections': [ [ '83a50b0c3e3ceb915398cdc20afa754a',
['cece', 'cookie', 'grammy', 'cuz']],
[ '4b7a55db03b57737b52bd7c0cb4a6731',
['count', 'emmy', 'grammy', 'oscar']]],
'llm_retry_count': 0,
'llm_temperature': 0.7,
'mistake_count': 2,
'puzzle_source_fp': '/desktop/connection_puzzle_2024_12_03.png',
'puzzle_source_type': 'image',
'puzzle_status': 'initialized',
'recommendation_answer_status': 'p',
'recommendation_count': 7,
'recommended_connection': 'Female given names',
'recommended_correct': True,
'recommended_words': ['cece', 'edie', 'emmy', 'katie'],
'tool_status': 'puzzle_completed',
'tool_to_use': 'END',
'vocabulary_db_fp': '/tmp/vocabulary.db',
'words_remaining': [],
'workflow_instructions': '**Instructions**\n'
'\n'
'use "setup_puzzle" tool to initialize the puzzle '
'if the "puzzle_status" is not initialized.\n'
'\n'
'if "tool_status" is "puzzle_completed" then use '
'"END" tool.\n'
'\n'
'Use the table to select the appropriate tool.\n'
'\n'
'|current_tool| tool_status | tool |\n'
'| --- | --- | --- |\n'
'|setup_puzzle| initialized | '
'get_embedvec_recommendation |\n'
'|embedvec_recommender| next_recommendation | '
'get_embedvec_recommendation |\n'
'|embedvec_recommender| have_recommendation | '
'apply_recommendation |\n'
'|llm_recommender| next_recommendation | '
'get_llm_recommendation |\n'
'|llm_recommender| have_recommendation | '
'apply_recommendation |\n'
'|llm_recommender| manual_recommendation | '
'get_manual_recommendation |\n'
'|manual_recommender| have_recommendation | '
'apply_recommendation |\n'
'|manual_recommender| next_recommendation | '
'get_llm_recommendation |\n'
'\n'
'If no tool is selected, use "ABORT" tool.\n'}