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[Metropolis P4] Stars — GPU Planner, WASM Sandbox, FedRAMP Package #18

Description

@POWDER-RANGER

Phase 4: Stars ⭐

Parent epic: #14 (Metropolis Architecture)

The final frontier: advanced AI planning, untrusted code execution in secure sandboxes, and enterprise compliance certification.


Deliverables

4.1 GPU-Accelerated Symbolic Planning

  • Monte Carlo Tree Search (MCTS) implementation with CUDA kernels
  • Integration with Temporal.io for long-running planning workflows
  • Planning domain definition language (PDDL) parser
  • GPU-accelerated heuristic evaluation
  • Parallel plan exploration across multiple GPU streams
  • Fallback to CPU MCTS when GPU unavailable
  • Benchmark suite against classical planners (FastDownward, LAMA)
# GPU planner example
from oblisk.planning import MCTSPlanner
from oblisk.planning.heuristics import GPUHeuristic

planner = MCTSPlanner(
    heuristic=GPUHeuristic(device="cuda:0"),
    simulations=10000,
    exploration_constant=1.414,
    temporal_workflow=True,  # delegates to Temporal for long runs
)

plan = planner.solve(domain=pddl_domain, problem=pddl_problem)

4.2 WebAssembly Sandbox Runtime

  • WASM runtime integration (Wasmtime or Wasmer)
  • WASI capability-based security model
  • Agent plugin system: load untrusted .wasm modules
  • Resource limits: CPU time, memory, syscall allowlist
  • gRPC bridge between host agent and WASM guest
  • Plugin marketplace / registry (basic version)
  • Example plugins:
    • Data transformer (Python → Rust compiled to WASM)
    • External API connector (sandboxed HTTP)
    • Custom heuristics for the GPU planner
// Example: WASM plugin for custom data processing
#[no_mangle]
pub extern "C" fn process_data(input: &[u8]) -> Vec<u8> {
    // Runs in sandbox — no filesystem, no network, no secrets
    let data: Value = serde_json::from_slice(input).unwrap();
    let result = transform(data);
    serde_json::to_vec(&result).unwrap()
}

4.3 FedRAMP Compliance Package

  • Complete System Security Plan (SSP)
  • Control implementation documentation:
    • AC (Access Control) — OPA + Vault
    • AU (Audit) — Phantom Zone (QLDB/immudb)
    • CM (Configuration Management) — Helm + GitOps
    • IA (Identification & Authentication) — SPIFFE/SPIRE
    • SC (System Communications) — Istio mTLS
    • SI (System & Information Integrity) — SLSA L3 + SAST
  • Penetration test results
  • Continuous monitoring plan
  • 3PAO (Third Party Assessment Organization) readiness
  • ATO (Authority to Operate) package submission

4.4 Post-Quantum Cryptography

  • CRYSTALS-Kyber key encapsulation (hybrid with X25519)
  • CRYSTALS-Dilithium digital signatures
  • Integration with Istio mTLS (experimental)
  • Feature flag for gradual rollout

4.5 Advanced Threat Defense

  • Intel SGX / AMD SEV enclave support for Vault
  • Memory encryption for sensitive agent operations
  • Runtime threat detection (Falco rules)
  • Automated incident response playbooks

4.6 Community & Ecosystem

  • Public plugin registry (plugins.oblisk.dev)
  • Documentation site with interactive examples
  • Certification program for OBLISK operators
  • Enterprise support tiers

Component Diagram

┌────────────────────────────────────────────────────────────────┐
│                      Advanced Compute                           │
│                                                                │
│  ┌────────────────────┐    ┌──────────────────────────────┐   │
│  │   GPU Planner      │    │   WASM Sandbox               │   │
│  │   (MCTS + CUDA)    │    │   (Wasmtime + WASI)          │   │
│  │                    │    │                              │   │
│  │  ┌──────────────┐  │    │  ┌──────────────────────┐   │   │
│  │  │  NVIDIA A100  │  │    │  │ Untrusted Plugin     │   │   │
│  │  │  MCTS Kernels │  │    │  │ - Data transformer   │   │   │
│  │  └──────────────┘  │    │  │ - API connector      │   │   │
│  │                    │    │  │ - Custom heuristic   │   │   │
│  │  Temporal workflow │    │  └──────────────────────┘   │   │
│  │  for long searches │    │  Resource limits enforced   │   │
│  └────────────────────┘    └──────────────────────────────┘   │
│                                                                │
└────────────────────────────────────────────────────────────────┘
┌────────────────────────────────────────────────────────────────┐
│                     FedRAMP Controls                            │
│                                                                │
│   AC ──▶ OPA + Vault      SC ──▶ Istio mTLS + Kyber           │
│   AU ──▶ QLDB/immudb      SI ──▶ SLSA L3 + SAST              │
│   CM ──▶ Helm + GitOps    RA ──▶ Risk assessment              │
│   IA ──▶ SPIFFE/SPIRE     IR ──▶ Incident response           │
│                                                                │
└────────────────────────────────────────────────────────────────┘

Performance Targets

Metric Target
MCTS throughput (GPU) > 1M simulations/sec
WASM cold start < 10ms
WASM execution overhead < 2x native
FedRAMP audit query < 100ms for 90 days
Kyber handshake overhead < 5ms additional

Dependencies

Requires: #17 (Sky phase — SDKs, Istio, KEDA infrastructure)
Blocks: None (final phase)

Estimated effort: 16-20 weeks
Priority: P1 — Strategic differentiator

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