File size: 2,446 Bytes
1d75522
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
c7d9c30
 
 
 
 
 
 
 
 
 
 
 
1d75522
bb6f0d3
1d75522
 
 
 
c7d9c30
 
1d75522
 
 
 
c7d9c30
 
 
 
 
 
1d75522
 
c7d9c30
1d75522
c7d9c30
 
 
 
 
 
 
 
 
 
 
1d75522
bb6f0d3
1d75522
 
 
 
c7d9c30
 
1d75522
 
 
 
c7d9c30
 
 
 
 
1d75522
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
"""
Advanced Reasoning Engine for Multi-Model System
---------------------------------------------
A highly sophisticated reasoning system combining multiple reasoning strategies.

Core Reasoning:
1. Chain of Thought (CoT)
2. Tree of Thoughts (ToT)
3. Recursive Reasoning
4. Analogical Reasoning
5. Meta-Learning
6. Local LLM

Advanced Reasoning:
7. Neurosymbolic Reasoning
8. Bayesian Reasoning
9. Quantum Reasoning
10. Emergent Reasoning
11. Multimodal Reasoning
12. Specialized Reasoning

Learning & Adaptation:
13. Market Analysis
14. Portfolio Optimization
15. Venture Strategies
16. Monetization Strategies
"""

# Base types and classes
from .base import ReasoningStrategy, StrategyResult

# Core reasoning strategies
from .chain_of_thought import ChainOfThoughtStrategy
from .tree_of_thoughts import TreeOfThoughtsStrategy
from .recursive import RecursiveReasoning
from .analogical import AnalogicalReasoning
from .meta_learning import MetaLearningStrategy
from .local_llm import LocalLLMStrategy

# Advanced reasoning strategies
from .multimodal import MultiModalReasoning
from .bayesian import BayesianStrategy
from .quantum import QuantumReasoning
from .neurosymbolic import NeurosymbolicReasoning
from .emergent import EmergentReasoning
from .specialized import SpecializedReasoning

# Domain-specific strategies
from .market_analysis import MarketAnalysisStrategy
from .portfolio_optimization import PortfolioOptimizationStrategy
from .venture_strategies import VentureStrategy
from .monetization import MonetizationStrategy

# Model integrations
from .groq_strategy import GroqStrategy

# Unified engine
from .unified_engine import UnifiedReasoningEngine, StrategyType, UnifiedResult

__all__ = [
    # Base types
    'ReasoningStrategy',
    'StrategyResult',
    
    # Core reasoning
    'ChainOfThoughtStrategy',
    'TreeOfThoughtsStrategy',
    'RecursiveReasoning',
    'AnalogicalReasoning',
    'MetaLearningStrategy',
    'LocalLLMStrategy',
    
    # Advanced reasoning
    'MultiModalReasoning',
    'BayesianStrategy',
    'QuantumReasoning',
    'NeurosymbolicReasoning',
    'EmergentReasoning',
    'SpecializedReasoning',
    
    # Domain-specific
    'MarketAnalysisStrategy',
    'PortfolioOptimizationStrategy',
    'VentureStrategy',
    'MonetizationStrategy',
    
    # Model integrations
    'GroqStrategy',
    
    # Unified engine
    'UnifiedReasoningEngine',
    'StrategyType',
    'UnifiedResult'
]