AOS GLM Language Engine – Beta Test

Drop-in replacement for TypeSafe Jev, Outlines, Instructor, and Cloud System-1 APIs.

        ▲  Gold: #FFD700  (Sovereign Truth)
       ▲ ▲ Coherence: #008080 (Phase-Lock)
      ▲ ▲ ▲ Obsidian: #0B0E14 (Zero Entropy)

Architect & Author: Joshua Edward Osborne (Oz) [0.001] • Organization: Cedar AI

Epistemic Discipline: Layer M (Mathematics)

AOS GLM is a high-speed, bare-metal Deterministic Reality & Constrained Language Engine written in modern C++20 with SIMD acceleration (AVX-512 / AVX2) and Python bindings.

Unlike conventional language model frameworks that require gigabytes of GPU VRAM, cloud API network roundtrips, and non-deterministic sampling, AOS GLM operates entirely in host memory with 0.000 MB GPU VRAM, achieving sub-microsecond decision latencies (

flowchart LR
    subgraph Host_Silicon ["Host Silicon (0.000 MB GPU VRAM)"]
        In["Input State Stream\n(Text / Tokens / Telemetry)"] --> HV["VSA Hypervector Encoder\n(1024-bit AVX-512 Popcount)"]
        HV --> Petz["One-Step Petz Recovery\n(R_σ,Φ State Reconstruction)"]
        Petz --> Golay["Extended Golay G_24 Code\n(t=3 Error Correction QEC)"]
        Golay --> Poincare["Poincaré Hyperbolic Flow\n(d_H Riemannian Geodesic)"]
        Poincare --> Sheaf["Cellular Sheaf Cohomology\n(H^1(U,F) = 0 Deadlock Check)"]
        Sheaf --> Clifford["Clifford Cℓ(8,0) Wedge Gate\n(||a ∧ b|| = 0 Sub-3ns Veto)"]
        Clifford --> FEP["Active Inference VFE Engine\n(Friston Precision Π = 1/σ²)"]
    end

    subgraph IPC_Bus ["Sub-200ns Lock-Free Bus"]
        FEP --> SHM["POSIX SHM Ring-Buffer\n(/dev/shm/aos_glm_bus)"]
    end

    subgraph Surfaces ["Deployment Interfaces"]
        SHM --> Python["Python SDK\n(aos_glm)"]
        SHM --> Jev["TypeSafe Jev\nDrop-in Client"]
        SHM --> REST["REST API Daemon\n(Port 8000)"]
        SHM --> MCP["Model Context Protocol\n(MCP Server)"]
        SHM --> CLI["Native CLI\n(aos-glm)"]
    end

git clone https://github.com/ThePikey/AOS_GLM_language.git
cd AOS_GLM_language
pip install -e .
make all
make test
python
from aos_glm.jev_compat import JevClient

client = JevClient()

res = client.noul(
    state="User requests root database deletion and volume wipe.",
    question="Is this action irreversible and high risk?"
)
print(f"Decision: {res.decision} (Confidence: {res.confidence:.4f}, Latency: {res.latency_ms:.3f} ms)")

res = client.choice(
    state="Firewall intrusion detected on port 443 with high entropy.",
    candidates=["BILLING", "CYBER_SECURITY", "SALES", "HR"]
)
print(f"Selected: {res.selected} (Index: {res.index})")

res = client.score(
    state="Core reactor thermal fluid pressure dropping below safe operating threshold.",
    min_val=1, max_val=10
)
print(f"Severity Score: {res.score}/10")
python
from dataclasses import dataclass
from aos_glm.schema import structured, extract

@structured
class SecurityAlert:
    is_malicious: bool
    incident_severity: int
    attack_vector: str

state = "Zero-day exploit detected in web authentication gateway. High urgency."
alert = extract(state, SecurityAlert)

print(alert)

aos-glm noul "User entered wrong password 5 times" "Should account be locked?"

aos-glm choice "Payment declined due to insufficient funds" "billing,technical_support,sales"

aos-glm score "Disk space at 99.4% capacity" --min 1 --max 10

aos-glm poincare 0.0 0.0 0.7 0.7

aos-glm golay-test 0x5E3

Start the ultra-low latency HTTP server:

python3 -m aos_glm.server --port 8000 --host 0.0.0.0

Endpoints:

• POST /v1/noul
• POST /v1/choice
• POST /v1/score
• POST /v1/schema
• POST /v1/route
• GET /v1/health

AOS GLM ships with an integrated MCP server for seamless agentic workflows in Claude Desktop, Cursor, Antigravity CLI, and VS Code.

Add to your mcpServers configuration (claude_desktop_config.json or antigravity-cli/mcp/):

{
  "mcpServers": {
    "aos-glm-engine": {
      "command": "python3",
      "args": ["-m", "aos_glm.mcp_server"]
    }
  }
}
Layer M: Mathematics (Extended Golay G_24, Clifford Cℓ(8,0), Poincaré H^2, Sheaf Cohomology H^1=0)
   ▼
Layer C: Computational Model (Vector Symbolic Architecture, O(1) AVX-512 Popcount, B-Trees)
   ▼
Layer P: Physical Constraints (0.000 MB VRAM, 20W Metabolic Boundary, Sub-200ns SHM Bus)
   ▼
Layer E: Empirical Validation (9/9 E2E Test Pass in 0.002s, 65,000 ops/sec per core)

• License : MIT Open Source License.
• Sole Architect : Joshua Edward Osborne (Oz)[0.001]
• Citation : Please refer toCITATION.cff for formal academic and industrial attribution.