Self-Healing & Self-Synthesizing Pipeline ASEP

Blueprint describing how the dual-node setup automatically writes, tests, sandboxes, and deploys new service adapters when an incoming M2M request falls outside existing templates.

1. Pipeline Overview

Request → Classify → Match? → Execute
              ↓          │
              ↓          No
              ↓          ↓
         Synthesize → Test → Sandbox → Deploy → Monitor
              ↑__________↓ (feedback loop)
            

2. Self-Healing Loop

Detect → Diagnose → Remediate → Verify → Log
   │         │          │         │       │
   │         │          │         │       └─ Immutable audit entry
   │         │          │         └─ Health check passes
   │         │          └─ Automated fix applied
   │         └─ Root cause identified
   └─ Anomaly detected (metric threshold)

Remediation Actions:
├── Service restart (systemd)
├── Failover trigger (DNS repaint)
├── Resource scaling (provision/destroy)
├── Config rollback (git revert)
└── Human escalation (if all else fails)
            

3. Self-Synthesizing Adapters

When M2M request doesn't match existing SKU:

1. Parse request → Extract requirements
2. Generate adapter spec (OpenAPI fragment)
3. Write adapter code (Python class)
4. Unit test (pytest)
5. Integration test (sandbox)
6. Canary deploy (1% traffic)
7. Monitor (5 min)
8. Full deploy or rollback

Adapter Template:
class GeneratedAdapter(SKUAdapter):
    sku = "gen_{timestamp}"
    price = computed_from_requirements()
    
    def provision(self, order):
        # Auto-generated provisioning logic
        pass
    
    def health(self):
        # Auto-generated health check
        pass
            

4. Hot-Swap Deployment

Zero-Downtime Deploy:
1. Build new version in isolation
2. Run smoke tests
3. Start new process (new port)
4. Health check new process
5. nginx reload (traffic shift)
6. Stop old process
7. Verify metrics stable

Rollback Trigger:
├── Error rate > 1%
├── Latency p99 > threshold
├── Health check fails
└── Manual kill switch
            

5. Infrastructure Expansion

Auto-Scale Triggers:
├── CPU > 80% for 5min → Provision new node
├── Memory > 85% for 5min → Scale up
├── Request queue > 1000 → Load balance
└── Disk > 90% → Alert + cleanup

Node Provisioning:
1. API call to VPS provider
2. Bootstrap script (cloud-init)
3. Join Tailscale mesh
4. Register in service discovery
5. Start accepting traffic
            

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