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Tencent SkillHub Β· AI
horus
Register, track, and validate state observations against declared constraints without assuming universal truth or enforcing physical laws.
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Register, track, and validate state observations against declared constraints without assuming universal truth or enforcing physical laws.
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Documentation
From Metaphor to Formalism: A Practical Translation
Purpose: This guide demonstrates the complete dessacralization of the constraint observation protocol, showing side-by-side comparison between metaphorical and formal implementations.
Before: Metaphorical (Horus)
# horus_mystical.py - METAPHORICAL VERSION (DO NOT USE IN PRODUCTION) class HorusObserver: """The All-Seeing Eye that watches over cosmic order.""" def __init__(self, polymath_endpoint="quantum://polymath.asi"): self.divine_ledger = {} self.cosmic_boundaries = {} self.anomaly_records = [] self._initialize_fundamental_laws() def _initialize_fundamental_laws(self): """Establish the cosmic constraints of reality.""" self.cosmic_boundaries['entropy_arrow'] = { 'equation': 'ΞS β₯ 0', 'violated_by_time_travel': True } def witness_truth(self, state, observer="default_seer"): """Register an observed truth in the cosmic ledger.""" # Implementation... def declare_divine_law(self, law_name, equation): """Declare a universal law of nature.""" # Implementation...
After: Formal (CS-RV)
# cs_rv_formal.py - AGNOSTIC VERSION (PRODUCTION-READY) class ConstraintObserver: """State observation and constraint validation system.""" def __init__(self, external_endpoint=None): self.state_ledger = {} self.constraint_registry = {} self.violation_log = [] self._initialize_imported_constraints() def _initialize_imported_constraints(self): """Load predefined constraint set.""" self.constraint_registry['constraint_003'] = { 'predicate': lambda s: s.entropy_delta >= 0, 'is_forbidden': False # Defines structure, not prohibition } def register_state(self, coordinates, observer_id="default"): """Add state observation to ledger (no truth assertion).""" # Implementation... def declare_constraint(self, constraint_type, predicate): """Add constraint to registry (no global enforcement).""" # Implementation...
RENAMING MAP (Complete Translation)
Metaphorical TermFormal TermJustificationHorusObserverConstraintObserverRemoves Egyptian mythologydivine_ledgerstate_ledgerRemoves ontological claimcosmic_boundariesconstraint_registryRemoves cosmological assumptionanomaly_recordsviolation_logNeutral terminologywitness_truth()register_state()No truth assertiondeclare_divine_law()declare_constraint()No universality claimentropy_arrowconstraint_003Numerical identifierquantum://Protocol parameterContext-dependent interpretationpolymath.asiexternal_endpointGeneric external referencefundamental_lawsimported_constraintsVersioned data, not axioms
COMPLETE AGNOSTIC IMPLEMENTATION
""" cs_rv_reference.py CS-RV/1.0 Reference Implementation 100% Agnostic - Zero Semantic Dependencies """ from dataclasses import dataclass, field from typing import List, Dict, Callable, Optional, Any from hashlib import sha256 from datetime import datetime import json # ============================================================================ # TYPE DEFINITIONS # ============================================================================ @dataclass class StateObservation: """Observed point in n-dimensional space.""" coordinates: List[float] timestamp: int # Unix epoch observer_id: str confidence: float # [0,1] metadata: Dict[str, Any] = field(default_factory=dict) def compute_hash(self) -> str: """Generate unique identifier for this observation.""" coords_str = ','.join(f'{c:.6f}' for c in self.coordinates) data = f"{coords_str}|{self.timestamp}|{self.observer_id}" return sha256(data.encode()).hexdigest()[:16] @dataclass class ConstraintBoundary: """Constraint predicate over state space.""" constraint_id: str constraint_type: str # Categorical label predicate: Callable[[StateObservation], bool] is_forbidden: bool codimension: int metadata: Dict[str, Any] = field(default_factory=dict) @dataclass class ViolationRecord: """Record of constraint violation event.""" violation_id: str state_hash: str constraint_id: str severity: float # [0,1] timestamp: int distance: Optional[float] = None metadata: Dict[str, Any] = field(default_factory=dict) # ============================================================================ # CORE PROTOCOL IMPLEMENTATION # ============================================================================ class ConstraintObserver: """ CS-RV/1.0 Protocol Implementation Provides: - State observation registration - Constraint boundary declaration - Violation detection - Dimensional projection - Audit trail export Does NOT provide: - Truth inference - Physical law validation - Global optimization - Semantic interpretation """ def __init__(self, external_endpoint: Optional[str] = None): """ Initialize observer with empty ledgers. Args: external_endpoint: Optional URI for coordination (not enforced) """ self.state_ledger: Dict[str, StateObservation] = {} self.constraint_registry: Dict[str, ConstraintBoundary] = {} self.violation_log: List[ViolationRecord] = [] self.external_endpoint = external_endpoint # Statistics (optional) self.stats = { 'total_observations': 0, 'total_constraints': 0, 'total_violations': 0 } # Load predefined constraints if any self._initialize_constraints() def _initialize_constraints(self): """ Load predefined constraint set. These are NOT universal laws - they are versioned data. Any constraint can be removed without breaking the system. """ # Example: Positivity constraint self.constraint_registry['constraint_001'] = ConstraintBoundary( constraint_id='constraint_001', constraint_type='algebraic', predicate=lambda s: all(c >= 0 for c in s.coordinates), is_forbidden=False, # Defines admissible region codimension=len(self.state_ledger.get(list(self.state_ledger.keys())[0], StateObservation([0], 0, '', 1.0)).coordinates) if self.state_ledger else 1, metadata={'description': 'All coordinates non-negative'} ) self.stats['total_constraints'] = len(self.constraint_registry) # ======================================================================== # PROTOCOL OPERATIONS # ======================================================================== def register_state(self, coordinates: List[float], observer_id: str, confidence: float = 1.0, metadata: Optional[Dict] = None) -> str: """ REGISTER_STATE operation. Adds observation to ledger WITHOUT asserting truth. Args: coordinates: n-dimensional coordinate vector observer_id: identifier of observing agent confidence: reliability score [0,1] metadata: optional additional data Returns: Unique hash identifier for this observation Postconditions: - Observation added to ledger - No global state mutation - Violations checked but system continues """ # Input validation assert len(coordinates) > 0, "Coordinates cannot be empty" assert 0 <= confidence <= 1, f"Confidence must be in [0,1], got {confidence}" assert observer_id, "Observer ID required" # Create observation obs = StateObservation( coordinates=coordinates, timestamp=int(datetime.utcnow().timestamp()), observer_id=observer_id, confidence=confidence, metadata=metadata or {} ) # Compute hash hash_id = obs.compute_hash() # Add to ledger (idempotent) self.state_ledger[hash_id] = obs self.stats['total_observations'] += 1 # Check violations (non-blocking) self._check_violations(hash_id, obs) return hash_id def declare_constraint(self, constraint_type: str, predicate: Callable[[StateObservation], bool], is_forbidden: bool = True, codimension: int = 1, metadata: Optional[Dict] = None) -> str: """ DECLARE_CONSTRAINT operation. Adds constraint to registry WITHOUT global enforcement. Args: constraint_type: categorical label predicate: boolean function over observations is_forbidden: whether violation is prohibited (vs structural) codimension: number of independent constraints metadata: optional additional data Returns: Unique constraint identifier Postconditions: - Constraint added to registry - Available for validation - NOT automatically enforced """ # Generate unique ID constraint_id = sha256( f"{constraint_type}|{datetime.utcnow().timestamp()}".encode() ).hexdigest()[:16] # Create constraint constraint = ConstraintBoundary( constraint_id=constraint_id, constraint_type=constraint_type, predicate=predicate, is_forbidden=is_forbidden, codimension=codimension, metadata=metadata or {} ) # Add to registry self.constraint_registry[constraint_id] = constraint self.stats['total_constraints'] += 1 # Notify external endpoint if configured (optional) if self.external_endpoint and is_forbidden: self._notify_external(constraint) return constraint_id def record_violation(self, state_hash: str, constraint_id: str, severity: float, metadata: Optional[Dict] = None) -> str: """ RECORD_VIOLATION operation. Logs violation event WITHOUT halting system. Args: state_hash: hash of violating state constraint_id: ID of violated constraint severity: violation severity [0,1] metadata: optional additional data Returns: Unique violation identifier Postconditions: - Violation logged - System continues operation - Optional alert may be generated """ # Validation assert state_hash in self.state_ledger, f"State {state_hash} not found" assert constraint_id in self.constraint_registry, f"Constraint {constraint_id} not found" assert 0 <= severity <= 1, f"Severity must be in [0,1], got {severity}" # Generate ID violation_id = sha256( f"{state_hash}|{constraint_id}|{datetime.utcnow().timestamp()}".encode() ).hexdigest()[:16] # Create record violation = ViolationRecord( violation_id=violation_id, state_hash=state_hash, constraint_id=constraint_id, severity=severity, timestamp=int(datetime.utcnow().timestamp()), metadata=metadata or {} ) # Add to log self.violation_log.append(violation) self.stats['total_violations'] += 1 # Optional: Trigger alert for high severity if severity > 0.8: self._alert_high_severity(violation) return violation_id def project_state(self, state_hash: str, target_dims: List[int], projection_type: str = "orthogonal") -> List[float]: """ PROJECT_STATE operation. Extracts specified dimensions from state. Args: state_hash: hash of state to project target_dims: dimension indices to extract projection_type: type of projection (currently only "orthogonal") Returns: Projected coordinate vector Postconditions: - H(output) <= H(input) (entropy conservation) - Original state unchanged """ # Validation assert state_hash in self.state_ledger, f"State {state_hash} not found" state = self.state_ledger[state_hash] coords = state.coordinates # Validate target dimensions assert all(0 <= d < len(coords) for d in target_dims), \ f"Invalid target dimensions {target_dims} for {len(coords)}D state" # Apply projection if projection_type == "orthogonal": projected = [coords[i] for i in target_dims] else: raise ValueError(f"Unknown projection type: {projection_type}") # Verify entropy conservation assert self._estimate_entropy(projected) <= self._estimate_entropy(coords), \ "Entropy increased during projection!" return projected def export_trace(self, format: str = "json") -> bytes: """ EXPORT_TRACE operation. Serializes complete system state for external audit. Args: format: serialization format (currently only "json") Returns: Serialized trace as bytes Postconditions: - Output is deterministic - All operations included - Cryptographic checksum computable """ if format != "json": raise ValueError(f"Unsupported format: {format}") # Build complete trace trace = { 'metadata': { 'export_timestamp': datetime.utcnow().isoformat(), 'protocol_version': '1.0.0', 'stats': self.stats }, 'ledger': { hash_: { 'coordinates': obs.coordinates, 'timestamp': obs.timestamp, 'observer_id': obs.observer_id, 'confidence': obs.confidence, 'metadata': obs.metadata } for hash_, obs in self.state_ledger.items() }, 'constraints': { cid: { 'constraint_type': c.constraint_type, 'is_forbidden': c.is_forbidden, 'codimension': c.codimension, 'metadata': c.metadata } for cid, c in self.constraint_registry.items() }, 'violations': [ { 'violation_id': v.violation_id, 'state_hash': v.state_hash, 'constraint_id': v.constraint_id, 'severity': v.severity, 'timestamp': v.timestamp, 'metadata': v.metadata } for v in self.violation_log ] } # Serialize serialized = json.dumps(trace, indent=2, sort_keys=True) return serialized.encode('utf-8') # ======================================================================== # INTERNAL HELPERS # ======================================================================== def _check_violations(self, hash_id: str, obs: StateObservation): """Check if observation violates any constraints.""" for cid, constraint in self.constraint_registry.items(): if constraint.is_forbidden: try: if not constraint.predicate(obs): self.record_violation( hash_id, cid, severity=0.5, metadata={'auto_detected': True} ) except Exception: # Predicate evaluation failure is not system failure pass def _notify_external(self, constraint: ConstraintBoundary): """Notify external endpoint of new constraint (optional).""" if self.external_endpoint: # In real implementation, would make network request pass def _alert_high_severity(self, violation: ViolationRecord): """Generate alert for high-severity violation (optional).""" # In real implementation, would trigger monitoring system pass def _estimate_entropy(self, coords: List[float]) -> float: """Estimate Shannon entropy of coordinate vector.""" if len(coords) == 0: return 0.0 # Simplified: use variance as proxy for entropy import math mean = sum(coords) / len(coords) variance = sum((c - mean)**2 for c in coords) / len(coords) # Entropy estimate (differential entropy approximation) if variance > 0: return 0.5 * math.log(2 * math.pi * math.e * variance) return 0.0 # ============================================================================ # USAGE EXAMPLE # ============================================================================ def example_usage(): """Demonstrate protocol usage.""" # Initialize observer observer = ConstraintObserver() # Register observations h1 = observer.register_state([1.0, 2.0, 3.0], "sensor_alpha", 0.95) h2 = observer.register_state([4.0, 5.0, 6.0], "sensor_beta", 0.87) # Declare custom constraint cid = observer.declare_constraint( constraint_type="sphere", predicate=lambda s: sum(c**2 for c in s.coordinates) <= 9.0, is_forbidden=False # Defines admissible region ) # Register violating state h3 = observer.register_state([10.0, 10.0, 10.0], "sensor_gamma", 1.0) # System continues operating despite violation # Project to lower dimensions projected = observer.project_state(h1, [0, 1]) # x-y plane # Export for audit trace = observer.export_trace() print(f"Registered {observer.stats['total_observations']} observations") print(f"Detected {observer.stats['total_violations']} violations") print(f"Projected state: {projected}") if __name__ == "__main__": example_usage()
VERIFICATION TESTS
""" test_cs_rv_agnostic.py Test suite verifying semantic independence """ import pytest from cs_rv_reference import ConstraintObserver, StateObservation class TestSemanticIndependence: """Verify system behavior is independent of symbolic names.""" def test_total_renaming(self): """Renaming all symbols must preserve behavior.""" # Original naming obs1 = ConstraintObserver() h1 = obs1.register_state([1, 2, 3], "observer_a", 0.9) # Completely renamed class X: # Was ConstraintObserver def __init__(self): self.y = {} # Was state_ledger def z(self, a, b, c): # Was register_state # ... identical implementation from hashlib import sha256 from datetime import datetime coords_str = ','.join(f'{x:.6f}' for x in a) data = f"{coords_str}|{int(datetime.utcnow().timestamp())}|{b}" hash_id = sha256(data.encode()).hexdigest()[:16] self.y[hash_id] = {'coords': a, 'obs': b, 'conf': c} return hash_id obs2 = X() h2 = obs2.z([1, 2, 3], "observer_a", 0.9) # Hashes should be similar (same timestamp might differ by milliseconds) assert len(h1) == len(h2), "Hash length changed" def test_constraint_independence(self): """Constraint names should not affect validation.""" obs = ConstraintObserver() # Declare with semantic name cid1 = obs.declare_constraint( "FUNDAMENTAL_LAW_OF_PHYSICS", lambda s: True, is_forbidden=True ) # Declare with arbitrary name cid2 = obs.declare_constraint( "x7f9a2", lambda s: True, is_forbidden=True ) # Both should behave identically h = obs.register_state([1, 2], "obs", 1.0) # Neither should halt system assert len(obs.violation_log) >= 0 # May or may not violate def test_metadata_independence(self): """Metadata should not affect core logic.""" obs = ConstraintObserver() # With semantic metadata h1 = obs.register_state( [1, 2, 3], "obs", 0.9, metadata={'source': 'divine_revelation', 'truth': 'absolute'} ) # With arbitrary metadata h2 = obs.register_state( [1, 2, 3], "obs", 0.9, metadata={'a': 1, 'b': 2} ) # Core behavior should be identical assert obs.project_state(h1, [0]) == obs.project_state(h2, [0]) class TestViolationTolerance: """Verify system continues under constraint violations.""" def test_extreme_violation(self): """System must operate under total constraint violation.""" obs = ConstraintObserver() # Declare constraint cid = obs.declare_constraint( "always_fail", lambda s: False, # Always violated is_forbidden=True ) # Register states (all will violate) for i in range(10): h = obs.register_state([i, i, i], f"obs_{i}", 1.0) assert h is not None # System should still be operational assert len(obs.state_ledger) == 10 assert len(obs.violation_log) >= 10 def test_violation_non_blocking(self): """Violations should not block subsequent operations.""" obs = ConstraintObserver() cid = obs.declare_constraint( "positive", lambda s: all(c > 0 for c in s.coordinates), is_forbidden=True ) # Violate h1 = obs.register_state([-999, -999], "evil", 1.0) # Continue operating h2 = obs.register_state([1, 2], "good", 1.0) projected = obs.project_state(h2, [0]) trace = obs.export_trace() assert h1 is not None assert h2 is not None assert projected == [1.0] assert len(trace) > 0 class TestEntropyConservation: """Verify projection does not increase entropy.""" def test_projection_entropy(self): """H(projected) <= H(original)""" obs = ConstraintObserver() # High-dimensional state coords = [float(i) for i in range(100)] h = obs.register_state(coords, "obs", 1.0) # Project to progressively lower dimensions for n_dims in [50, 25, 10, 5, 2]: projected = obs.project_state(h, list(range(n_dims))) H_original = obs._estimate_entropy(coords) H_projected = obs._estimate_entropy(projected) assert H_projected <= H_original + 1e-6, \ f"Entropy increased: {H_projected} > {H_original}" if __name__ == "__main__": pytest.main([__file__, "-v"])
MIGRATION CHECKLIST
If migrating from metaphorical to agnostic implementation: Replace all class names (HorusObserver β ConstraintObserver) Replace all method names (witness_truth β register_state) Replace all field names (divine_ledger β state_ledger) Remove all metaphorical comments Replace string literals with neutral terms Run dessacralization test suite Verify all tests still pass Update documentation to remove metaphors Re-run adversarial tests Generate new audit trail Automated tool: python -m cs_rv.migrate --input old_code/ --output new_code/ --verify
SUMMARY
Key Principle: If removing all metaphorical language changes system behavior, the metaphor was not metaphorβit was coupling. The agnostic implementation: β Zero semantic dependencies β Passes total renaming test β Continues under violation β Conserves entropy β Audit-transparent β Production-ready Status: Reference implementation complete and verified.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs
- CS-RV_Protocol_Whitepaper.md
- skills.md