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ae1e90a | 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 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 | #!/usr/bin/env python3
"""
Grok Logic Layer with Shared Blackboard Integration
Multi-expert collaboration via evidence store
"""
from typing import List, Dict, Any
from lego_moe import LegoMoE
from shared_blackboard import SharedBlackboard, Arbitrator
import re
import json
class GrokWithBlackboard:
"""
Grok logic layer with shared blackboard for expert collaboration
Orchestrates multiple experts via evidence store
"""
def __init__(self, lego_moe: LegoMoE):
self.moe = lego_moe
self.blackboard = SharedBlackboard()
self.arbitrator = Arbitrator(self.blackboard)
print("✓ Grok with Blackboard initialized")
def parse_intent(self, query: str) -> Dict[str, Any]:
"""Parse query intent (same as before)"""
query_lower = query.lower()
if any(word in query_lower for word in ['calculate', 'compute', 'multiply', 'add', 'divide', 'subtract', 'times']):
qtype = 'math_arithmetic'
elif any(word in query_lower for word in ['if', 'then', 'all', 'some', 'implies']):
qtype = 'logic_deduction'
else:
qtype = 'general_qa'
numbers = [float(n) for n in re.findall(r'\d+\.?\d*', query)]
operators = re.findall(r'[\+\-\*/×÷]', query)
if 'times' in query_lower or 'multiply' in query_lower:
operators.append('*')
if 'divided' in query_lower or 'divide' in query_lower:
operators.append('/')
if len(numbers) >= 2 and len(operators) >= 1:
qtype = 'math_arithmetic'
return {
"type": qtype,
"entities": {"numbers": numbers, "operators": operators}
}
def execute_math(self, numbers: List[float], operator: str) -> float:
"""Direct math calculation"""
if operator == '*':
return numbers[0] * numbers[1]
elif operator == '/':
return numbers[0] / numbers[1] if numbers[1] != 0 else None
elif operator == '+':
return numbers[0] + numbers[1]
elif operator == '-':
return numbers[0] - numbers[1]
return None
def run_math_expert(self, query: str, numbers: List[float], operator: str):
"""Math expert writes to blackboard"""
result = self.execute_math(numbers, operator)
self.blackboard.write_evidence(
expert="math",
finding=result,
method="direct_calculation",
confidence=1.0,
scope="calculation",
metadata={"operation": f"{numbers[0]} {operator} {numbers[1]}"}
)
def run_logic_expert(self, query: str, numbers: List[float], operator: str):
"""Logic expert validates units/consistency"""
# Simple validation: check if result makes sense
result_evidence = self.blackboard.read_evidence(expert_filter="math")
if result_evidence:
result = result_evidence[0].finding
# Sanity check
if operator == '*' and result < max(numbers):
finding = "Result seems incorrect (multiplication should increase)"
confidence = 0.3
elif operator == '/' and result > numbers[0]:
finding = "Result seems incorrect (division should decrease)"
confidence = 0.3
else:
finding = "Result passes sanity checks"
confidence = 0.95
self.blackboard.write_evidence(
expert="logic",
finding=finding,
method="sanity_check",
confidence=confidence,
scope="validation"
)
def reason_with_blackboard(self, query: str, verbose: bool = True) -> Dict[str, Any]:
"""
Multi-expert reasoning via blackboard
Returns:
Arbitrated result with confidence
"""
if verbose:
print(f"\n{'='*70}")
print(f"🧠 GROK WITH BLACKBOARD")
print(f"{'='*70}")
print(f"Query: {query}\n")
# Start new request
request_id = f"req_{hash(query) % 10000}"
self.blackboard.start_request(request_id)
# Parse intent
intent = self.parse_intent(query)
if verbose:
print(f"Intent: {intent['type']}")
# Orchestrate experts based on intent
if intent['type'] == 'math_arithmetic':
numbers = intent['entities']['numbers']
operators = intent['entities']['operators']
if len(numbers) == 2 and len(operators) == 1:
if verbose:
print(f"\nOrchestrating experts:")
# Math expert
if verbose:
print(f" 1. Math expert calculating...")
self.run_math_expert(query, numbers, operators[0])
# Logic expert validates
if verbose:
print(f" 2. Logic expert validating...")
self.run_logic_expert(query, numbers, operators[0])
# Lock blackboard
self.blackboard.lock()
# Arbitrate
if verbose:
print(f"\nArbitration:")
confidence = self.arbitrator.aggregate_confidence()
conflicts = self.arbitrator.detect_conflicts()
result = self.arbitrator.synthesize_answer()
if verbose:
print(f" Confidence: {confidence:.3f}")
print(f" Conflicts: {len(conflicts)}")
print(f"\n{'='*70}")
print(f"Answer: {result['answer']}")
print(f"Confidence: {result['confidence']:.3f}")
print(f"Primary Expert: {result['primary_expert']}")
if result['supporting_experts']:
print(f"Supporting: {', '.join(result['supporting_experts'])}")
print(f"{'='*70}\n")
return result
def main():
"""Test Grok with Blackboard"""
print("\n🧠 Grok Logic Layer with Shared Blackboard\n")
# Initialize
print("Loading LEGO-MoE...")
moe = LegoMoE()
print("\nInitializing Grok with Blackboard...")
grok = GrokWithBlackboard(moe)
# Test queries
test_queries = [
"What is 15 times 23?",
"What is 100 divided by 4?",
]
for query in test_queries:
result = grok.reason_with_blackboard(query)
print(f"\nBlackboard Evidence:")
for evidence in grok.blackboard.get_all_evidence():
print(f" {evidence['expert']}: {evidence['finding']} (conf: {evidence['confidence']:.2f})")
if __name__ == "__main__":
main()
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