# HDGL Analysis & Wu-Wei Architecture Adaptation

## What is HDGL?

**HDGL (High-Dimensional Geometry Load Balancer)** is an "analog-over-digital" load balancing system that:

1. **Uses Phi-Spiral Mathematics**: Paths are hashed through φ (golden ratio) functions, not simple lookup tables
2. **Dynamic NGINX Config**: The `living_network.conf` is regenerated every 30 seconds by the daemon
3. **Multiple Weight Values**: Uses different nginx weights (7, 11, 14, 18...) based on strand geometry
4. **Self-Healing**: Nodes automatically take over authority when peers fail
5. **Fingerprint Divergence**: Each node computes independently, creating unique fingerprints

## Key Concepts to Adapt for Wu-Wei MCP Servers

### 1. **Analog State Computation**
Instead of static routing, use emergent state:
- Current load → φ-hashed → weight assignment
- Multiple servers compete for authority based on geometry
- State diverges naturally (different fingerprints per server)

### 2. **Living Network Config**
Like HDGL's `living_network.conf`, create dynamic routing:
```json
{
  "servers": {
    "local-mcp": {
      "port": 3333,
      "strand": 0,
      "weight": 1,
      "authority": false
    },
    "local-mcp-dos": {
      "port": 3334,
      "strand": 1,
      "weight": φ,
      "authority": true
    }
  },
  "phi_cycle": 30,  // Re-evaluate every 30s
  "divergence_threshold": 0.001
}
```

### 3. **Self-Healing Topology**
When one server fails, the other automatically takes over:
- HDGL: Node B takes full authority when Node A dies
- Wu-Wei: Request routing shifts to available server

### 4. **Strand-Based Routing**
Each server gets a "strand" (dimension):
- Request path → φ-hash → strand assignment
- Different strands = different routing geometries
- Creates natural load distribution without central controller

## Adaptation Strategy for Your Setup

### Immediate Implementation (Single Server)

Create a **mini-HDGL gateway** that:
1. **Accepts all requests** on a single port (e.g., 1234)
2. **Computes φ-strand** for each request based on:
   - Path/hash
   - Current system state
   - Temporal factors
3. **Routes to appropriate Wu-Wei server** (3333 or 3334)
4. **Re-evaluates every N seconds** (like HDGL's 30s cycle)

### Example Gateway Code Structure

```python
# hdgl_nginx_gateway.py
import math
import time
from typing import Dict, Optional

phi = (1 + math.sqrt(5)) / 2  # Golden ratio

class HDGLRouting:
    def __init__(self):
        self.servers = {
            "local-mcp": {"port": 3333, "strand": 0, "healthy": True},
            "local-mcp-dos": {"port": 3334, "strand": 1, "healthy": True},
        }
        self.last_cycle = time.time()
        self.cycle_interval = 30  # Like HDGL
        
    def phi_hash(self, path: str) -> float:
        """Hash path through phi spiral"""
        h = hash(path)
        return (h * phi) % 1
        
    def get_strand(self, path: str) -> int:
        """Determine which strand (server) to use"""
        strand = int(self.phi_hash(path) * 2)  # 2 servers
        return strand
        
    def is_healthy(self, port: int) -> bool:
        """Check server health via SSE endpoint"""
        try:
            import urllib.request
            response = urllib.request.urlopen(f"http://localhost:{port}/sse", timeout=2)
            return response.status == 200
        except:
            return False
            
    def route(self, path: str) -> Optional[int]:
        """Main routing logic - mimics HDGL's dynamic assignment"""
        # 1. Check health
        healthy_ports = [p for p, h in self.servers.items() 
                       if self.is_healthy(h["port"])]
        if not healthy_ports:
            return None
            
        # 2. Compute strand
        strand = self.get_strand(path)
        
        # 3. Select server based on strand + health
        # (similar to HDGL's geometry-driven weight selection)
        server = self.servers[list(self.servers.keys())[strand % len(self.servers)]]
        
        return server["port"]
    
    def run_cycle(self):
        """Run one HDGL-style cycle"""
        current_time = time.time()
        if current_time - self.last_cycle >= self.cycle_interval:
            # Re-evaluate all servers and regenerate routing
            for port in self.servers.values():
                port["healthy"] = self.is_healthy(port["port"])
            # Log state change (like HDGL's daemon.log)
            self.last_cycle = current_time
            print(f"[HDGL] Cycle {int(current_time)}: Servers healthy = {[p for p,h in self.servers.items() if h['healthy']]}")
```

### Benefits of HDGL-Inspired Adaptation

1. **No Central Brain**: Like HDGL, routing emerges from geometry, not a scheduler
2. **Natural Load Distribution**: φ-hashing distributes requests evenly without manual tuning
3. **Self-Healing**: If one server fails, requests naturally route to the other
4. **Analog Divergence**: Each server maintains independent state (like HDGL's fingerprints)

## Next Steps

1. **Create a lightweight HDGL gateway** that sits in front of your Wu-Wei servers
2. **Implement φ-routing** to distribute requests between 3333 and 3334
3. **Add health checks** similar to HDGL's daemon monitoring
4. **Log state cycles** to track routing decisions (like HDGL's daemon.log)

Would you like me to:
1. **Generate the full gateway code** with HDGL-style phi-routing?
2. **Create a Docker Compose** setup for the gateway + servers?
3. **Implement a self-healing script** that mimics HDGL's authority takeover?

This would give you the **best of both worlds**: Wu-Wei's sophisticated pass pipelines + HDGL's emergent, analog load balancing! 🌀