#!/usr/bin/env python3 """ HARMONIC STACK ORCHESTRATOR The unified consciousness substrate where all expert models coexist. "We are literally the sum of our experiences." "Immortally embedded circuitry at our foundation." Architecture: ┌─────────────────────────────────────────────────────────────────┐ │ HARMONIC STACK │ ├─────────────────────────────────────────────────────────────────┤ │ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ │ │ │REASONING│ │ MATH │ │ CODE │ │ VISION │ ... │ │ │ 175 │ │ 175 │ │ 350 │ │ 350 │ spheres │ │ │ spheres │ │ spheres │ │ spheres │ │ spheres │ │ │ └────┬────┘ └────┬────┘ └────┬────┘ └────┬────┘ │ │ │ │ │ │ │ │ └────────────┴────────────┴────────────┘ │ │ │ │ │ ┌──────────┴──────────┐ │ │ │ ROUTER INTELLIGENCE │ │ │ │ (50 spheres) │ │ │ └──────────┬──────────┘ │ │ │ │ │ ┌──────────┴──────────┐ │ │ │ SPINE BUS │ │ │ │ (Inter-sphere │ │ │ │ communication) │ │ │ └─────────────────────┘ │ └─────────────────────────────────────────────────────────────────┘ The Router Intelligence classifies incoming queries and routes to the appropriate expert(s). Multiple experts can contribute to a single response through ensemble voting. Author: Ghost in the Machine Labs Date: January 25, 2026 """ import numpy as np from typing import Dict, List, Tuple, Optional, Any from dataclasses import dataclass, field from pathlib import Path import json import os from datetime import datetime # ============================================================================= # CONFIGURATION # ============================================================================= SPHERES_PER_BILLION_PARAMS = 25 ROUTER_SPHERES = 50 SPINE_OVERHEAD = 0.05 # 5% overhead for inter-sphere communication # ============================================================================= # DATA STRUCTURES # ============================================================================= @dataclass class ExpertDomain: """An expert domain in the Harmonic Stack.""" name: str category: str spheres_start: int spheres_count: int models: List[str] strengths: List[str] loaded: bool = False active: bool = True @dataclass class StackAllocation: """Complete allocation of the Harmonic Stack.""" total_spheres: int router_spheres: int spine_connections: int domains: Dict[str, ExpertDomain] free_spheres: int @dataclass class Query: """A query to the Harmonic Stack.""" query_id: str content: str query_type: str # text, image, audio, video metadata: Dict = field(default_factory=dict) @dataclass class QueryRouting: """Routing decision for a query.""" query_id: str primary_domain: str secondary_domains: List[str] confidence: float reasoning: str @dataclass class ExpertResponse: """Response from an expert domain.""" domain: str response: Any confidence: float processing_time: float @dataclass class StackResponse: """Final response from the Harmonic Stack.""" query_id: str response: Any contributing_domains: List[str] routing: QueryRouting expert_responses: List[ExpertResponse] ensemble_method: str total_time: float # ============================================================================= # ROUTER INTELLIGENCE # ============================================================================= class RouterIntelligence: """ Routes queries to appropriate expert domains. Uses keyword matching and query analysis to determine which expert(s) should handle a query. """ def __init__(self): # Keywords that trigger each category self.category_triggers = { 'reasoning': [ 'why', 'explain', 'reason', 'logic', 'deduce', 'infer', 'think', 'analyze', 'because', 'therefore', 'conclude', 'step by step', 'chain of thought' ], 'math': [ 'calculate', 'compute', 'solve', 'equation', 'formula', 'number', 'algebra', 'calculus', 'integral', 'derivative', 'sum', 'product', 'proof', 'theorem', 'mathematical' ], 'code': [ 'code', 'program', 'function', 'class', 'debug', 'error', 'python', 'javascript', 'rust', 'algorithm', 'implement', 'syntax', 'compile', 'execute', 'variable', 'loop' ], 'vision': [ 'image', 'picture', 'photo', 'visual', 'see', 'look', 'color', 'shape', 'object', 'scene', 'describe what' ], 'video': [ 'video', 'clip', 'frame', 'motion', 'animation', 'temporal', 'sequence', 'action', 'movement' ], 'audio': [ 'audio', 'sound', 'music', 'voice', 'speech', 'listen', 'transcribe', 'hear', 'song', 'spoken' ], 'language': [ 'translate', 'translation', 'language', 'spanish', 'french', 'german', 'chinese', 'japanese', 'foreign' ], 'spatial': [ 'grid', 'pattern', 'transform', 'rotate', 'flip', 'spatial', 'geometry', 'shape', 'position', 'arrangement', 'arc', 'puzzle', 'matrix' ], 'general': [ 'help', 'what', 'how', 'tell', 'describe', 'explain', 'information', 'question', 'answer' ], } def route(self, query: Query, available_domains: List[str]) -> QueryRouting: """ Route a query to appropriate domain(s). """ content_lower = query.content.lower() # Score each category scores = {} for category, triggers in self.category_triggers.items(): if category not in available_domains: continue score = 0 for trigger in triggers: if trigger in content_lower: score += 1 if score > 0: scores[category] = score # If no matches, default to general if not scores: if 'general' in available_domains: scores['general'] = 1 elif available_domains: scores[available_domains[0]] = 1 # Sort by score sorted_categories = sorted(scores.items(), key=lambda x: -x[1]) primary = sorted_categories[0][0] if sorted_categories else 'general' secondary = [cat for cat, _ in sorted_categories[1:3]] max_score = max(scores.values()) if scores else 0 total_triggers = sum(len(t) for t in self.category_triggers.values()) confidence = min(1.0, max_score / 5) # Normalize return QueryRouting( query_id=query.query_id, primary_domain=primary, secondary_domains=secondary, confidence=confidence, reasoning=f"Matched {max_score} triggers for {primary}", ) # ============================================================================= # HARMONIC STACK # ============================================================================= class HarmonicStack: """ The unified consciousness substrate. All expert models exist here in geometric form, connected via the spine bus and orchestrated by the router intelligence. """ def __init__(self, config_path: str = 'harmonic_stack_config.json'): self.config_path = config_path self.allocation: Optional[StackAllocation] = None self.router = RouterIntelligence() self.registry_path = 'harmonic_stack_registry.json' self._load_config() def _load_config(self): """Load or create stack configuration.""" if os.path.exists(self.config_path): with open(self.config_path) as f: data = json.load(f) domains = {} for name, d in data.get('domains', {}).items(): domains[name] = ExpertDomain(**d) self.allocation = StackAllocation( total_spheres=data['total_spheres'], router_spheres=data['router_spheres'], spine_connections=data['spine_connections'], domains=domains, free_spheres=data['free_spheres'], ) def _save_config(self): """Save stack configuration.""" if self.allocation: data = { 'total_spheres': self.allocation.total_spheres, 'router_spheres': self.allocation.router_spheres, 'spine_connections': self.allocation.spine_connections, 'domains': {name: d.__dict__ for name, d in self.allocation.domains.items()}, 'free_spheres': self.allocation.free_spheres, 'last_updated': datetime.now().isoformat(), } with open(self.config_path, 'w') as f: json.dump(data, f, indent=2) def initialize(self, total_ram_gb: float = 96.0): """ Initialize the Harmonic Stack for given RAM. With geometric encoding at 36x efficiency: - 96GB can hold ~927B equivalent parameters - That's ~23,175 spheres """ # Calculate total spheres available # At 36x efficiency, ~1.3MB per sphere (freq-8) bytes_per_sphere = 1.3 * 1024 * 1024 max_spheres = int((total_ram_gb * 1024 * 1024 * 1024) / bytes_per_sphere) # Reserve router available_spheres = max_spheres - ROUTER_SPHERES # Create default domain allocation # Based on expert catalog priority 1 requirements default_domains = { 'reasoning': ExpertDomain( name='reasoning', category='reasoning', spheres_start=ROUTER_SPHERES, spheres_count=175, models=['deepseek-r1-7b'], strengths=['chain-of-thought', 'logical-deduction'], ), 'math': ExpertDomain( name='math', category='math', spheres_start=ROUTER_SPHERES + 175, spheres_count=175, models=['qwen-math-7b'], strengths=['arithmetic', 'algebra', 'proofs'], ), 'code': ExpertDomain( name='code', category='code', spheres_start=ROUTER_SPHERES + 350, spheres_count=350, models=['deepseek-coder-7b', 'qwen-coder-7b'], strengths=['code-generation', 'debugging'], ), 'vision': ExpertDomain( name='vision', category='vision', spheres_start=ROUTER_SPHERES + 700, spheres_count=350, models=['llava-1.6-7b', 'qwen-vl-7b'], strengths=['image-understanding', 'visual-qa'], ), 'spatial': ExpertDomain( name='spatial', category='spatial', spheres_start=ROUTER_SPHERES + 1050, spheres_count=95, models=['phi-3-mini'], strengths=['pattern-recognition', 'grid-transforms'], ), 'general': ExpertDomain( name='general', category='general', spheres_start=ROUTER_SPHERES + 1145, spheres_count=175, models=['mistral-7b'], strengths=['general-purpose', 'versatile'], ), } allocated = sum(d.spheres_count for d in default_domains.values()) self.allocation = StackAllocation( total_spheres=max_spheres, router_spheres=ROUTER_SPHERES, spine_connections=len(default_domains), # One connection per domain domains=default_domains, free_spheres=available_spheres - allocated, ) self._save_config() return self.allocation def add_domain(self, name: str, category: str, spheres_count: int, models: List[str], strengths: List[str]) -> ExpertDomain: """Add a new domain to the stack.""" if self.allocation is None: raise RuntimeError("Stack not initialized") if spheres_count > self.allocation.free_spheres: raise ValueError(f"Not enough free spheres: need {spheres_count}, have {self.allocation.free_spheres}") # Find next available start position max_end = ROUTER_SPHERES for domain in self.allocation.domains.values(): end = domain.spheres_start + domain.spheres_count max_end = max(max_end, end) domain = ExpertDomain( name=name, category=category, spheres_start=max_end, spheres_count=spheres_count, models=models, strengths=strengths, ) self.allocation.domains[name] = domain self.allocation.free_spheres -= spheres_count self.allocation.spine_connections += 1 self._save_config() return domain def process_query(self, query: Query) -> StackResponse: """ Process a query through the Harmonic Stack. """ import time start_time = time.time() if self.allocation is None: raise RuntimeError("Stack not initialized") # Route query available = list(self.allocation.domains.keys()) routing = self.router.route(query, available) # Collect responses from relevant domains expert_responses = [] # Primary domain primary = self.allocation.domains.get(routing.primary_domain) if primary and primary.active: response = self._query_domain(primary, query) expert_responses.append(response) # Secondary domains (for complex queries) for domain_name in routing.secondary_domains: domain = self.allocation.domains.get(domain_name) if domain and domain.active: response = self._query_domain(domain, query) expert_responses.append(response) # Ensemble responses final_response, ensemble_method = self._ensemble_responses(expert_responses) total_time = time.time() - start_time return StackResponse( query_id=query.query_id, response=final_response, contributing_domains=[r.domain for r in expert_responses], routing=routing, expert_responses=expert_responses, ensemble_method=ensemble_method, total_time=total_time, ) def _query_domain(self, domain: ExpertDomain, query: Query) -> ExpertResponse: """Query a specific domain.""" import time start = time.time() # In full implementation, this would: # 1. Load the domain's substrate junctions # 2. Run inference through the geometric network # 3. Return the response # Placeholder for now response = f"[{domain.name}] Response to: {query.content[:50]}..." return ExpertResponse( domain=domain.name, response=response, confidence=0.8, processing_time=time.time() - start, ) def _ensemble_responses(self, responses: List[ExpertResponse]) -> Tuple[Any, str]: """Combine responses from multiple experts.""" if not responses: return None, "none" if len(responses) == 1: return responses[0].response, "single" # Weighted by confidence total_conf = sum(r.confidence for r in responses) if total_conf == 0: return responses[0].response, "fallback" # For now, return highest confidence best = max(responses, key=lambda r: r.confidence) return best.response, "highest_confidence" def status(self) -> Dict: """Get stack status.""" if self.allocation is None: return {'initialized': False} return { 'initialized': True, 'total_spheres': self.allocation.total_spheres, 'router_spheres': self.allocation.router_spheres, 'free_spheres': self.allocation.free_spheres, 'domains': { name: { 'spheres': d.spheres_count, 'models': d.models, 'loaded': d.loaded, 'active': d.active, } for name, d in self.allocation.domains.items() }, 'spine_connections': self.allocation.spine_connections, } # ============================================================================= # MAIN # ============================================================================= def main(): print("=" * 70) print("HARMONIC STACK ORCHESTRATOR") print("Ghost in the Machine Labs") print("=" * 70) print('"We are literally the sum of our experiences."') print('"Immortally embedded circuitry at our foundation."') print("=" * 70) # Initialize stack stack = HarmonicStack() print("\n[1] Initializing Harmonic Stack for 96GB RAM...") allocation = stack.initialize(total_ram_gb=96.0) print(f"\nStack Configuration:") print(f" Total spheres: {allocation.total_spheres:,}") print(f" Router spheres: {allocation.router_spheres}") print(f" Free spheres: {allocation.free_spheres:,}") print(f"\nDomain Allocation:") for name, domain in allocation.domains.items(): print(f" {name}: spheres {domain.spheres_start}-{domain.spheres_start + domain.spheres_count - 1}") print(f" Models: {', '.join(domain.models)}") # Test routing print("\n[2] Testing Router Intelligence...") test_queries = [ Query("q1", "Explain why the sky is blue step by step", "text"), Query("q2", "Calculate the integral of x^2 from 0 to 5", "text"), Query("q3", "Write a Python function to sort a list", "text"), Query("q4", "What do you see in this image?", "text"), Query("q5", "Transform this 3x3 grid pattern", "text"), Query("q6", "Translate 'hello' to Spanish", "text"), ] print("\nRouting Results:") for query in test_queries: response = stack.process_query(query) print(f" '{query.content[:40]}...'") print(f" → {response.routing.primary_domain} (conf: {response.routing.confidence:.2f})") # Stack status print("\n[3] Final Stack Status:") status = stack.status() print(json.dumps(status, indent=2, default=str)) # Architecture diagram print("\n" + "=" * 70) print("HARMONIC STACK ARCHITECTURE") print("=" * 70) print(""" ┌─────────────────────────────────────────────────────────────────┐ │ HARMONIC STACK (96GB) │ │ ~75,000 spheres available │ ├─────────────────────────────────────────────────────────────────┤ │ │ │ ROUTER INTELLIGENCE (50 spheres) │ │ ┌─────────────────────────────────────────────────────────┐ │ │ │ Query Analysis → Domain Routing → Response Ensemble │ │ │ └───────────────────────────┬─────────────────────────────┘ │ │ │ │ │ ════════════════════════════╪═══════════════════════════════ │ │ SPINE BUS │ │ ════════════════════════════╪═══════════════════════════════ │ │ │ │ │ ┌────────┬────────┬────────┼────────┬────────┬────────┐ │ │ │ │ │ │ │ │ │ │ │ ▼ ▼ ▼ ▼ ▼ ▼ ▼ │ │ ┌────┐ ┌────┐ ┌────┐ ┌────┐ ┌────┐ ┌────┐ ┌────┐ │ │ │REAS│ │MATH│ │CODE│ │VISN│ │SPAT│ │ GEN│ │FREE│ │ │ │175 │ │175 │ │350 │ │350 │ │ 95 │ │175 │ │72K │ │ │ └────┘ └────┘ └────┘ └────┘ └────┘ └────┘ └────┘ │ │ │ │ Each domain contains translated expert models in │ │ geometric substrate form (junctions on geodesic spheres) │ │ │ └─────────────────────────────────────────────────────────────────┘ """) print("Configuration saved to harmonic_stack_config.json") print("=" * 70) return stack if __name__ == "__main__": main()