Deterministic AI Evaluation:
0.07ms at P50
Exogram evaluates AI agent tool calls through compiled in-memory bitmask state machines instead of recursive LLM calls. Sub-millisecond determinism eliminates the 220ms–850ms latency penalty and $0.003/eval cost of LLM-as-a-judge architectures.
72 microseconds end-to-end execution
Zero model inference overhead
300x cheaper than LLM-as-a-judge
Zero prompt injection vulnerability
Quantify the Verification Overhead
Adjust your swarm parameters to compare Exogram's bitmask evaluation against LLM-as-a-judge architectures.
Exogram evaluates actions in 0.07ms directly in memory. The baseline LLM judge stalls the agent thread for 240ms on every single execution step.
Strict schema invariant & bitmask enforcement
Based on empirical 8.5% jailbreak escape rate
Sub-120μs Execution Even at P99
Evaluated across 10,000,000 consecutive agent tool calls. Zero garbage collection pauses, zero thread contention, and pre-allocated fixed memory buffers ensure predictable tail latency.
Percentile Distribution (AMD EPYC 9654)Sample: 10M runs
Why Latency Never Spikes
- Zero Garbage Collection: Compiled directly to native machine code or WASM bytecode with deterministic stack allocation.
- SIMD-Vectorized Bitmasks: Policies are represented as 64-bit and 128-bit integers evaluated with single CPU SIMD instructions.
- Lock-Free State Lookups: Atomic memory primitives prevent lock contention even under 200+ concurrent agent threads.
- Asynchronous Ledger Commit: SQLite WAL write operations run on dedicated background IO threads without blocking evaluation verdicts.
All measurements captured via hardware monotonic cycle counters (rdtsc on x86_64, CNTVCT_EL0 on ARM64) with statistical outliers trimmed using Tukey IQR filtering.
Exogram Bitmask Gate vs LLM-as-a-Judge
Why relying on another probabilistic model to govern a probabilistic agent introduces latency bottlenecks and compounding security vulnerabilities.
| Metric / Dimension | Exogram In-Memory Bitmask | LLM-as-a-Judge Guardrail |
|---|---|---|
| Evaluation Latency (P50) | 0.07ms (72 microseconds) | 220ms – 850ms (3,000x+ slower) |
| Cost per 1,000,000 Tool Calls | $10.00 (CPU compute amortized) | $3,000.00 – $6,000.00 (API token bills) |
| LLM Tokens Consumed | 0 Tokens | 350 – 1,200 tokens per evaluation |
| Enforcement Determinism | 100% Deterministic (Zero variance) | Probabilistic (5%–15% false negative rate) |
| Prompt Injection Immunity | Immune (Operates on typed ASTs & bitmasks) | Vulnerable (Can be jailbroken via prompt leakage) |
| Air-Gapped & Offline Support | Native (Zero external network dependencies) | Requires external frontier API or massive GPU cluster |
| State & Frequency Limits | Nanosecond in-memory rate limiting & sliding window | Requires stuffing context window with historical logs |
| Audit Provenance | Cryptographic SHA-256 signed SQLite WAL ledger | Unstructured text reasoning completion logs |
Hardware Test Conditions & Throughput
Benchmarked across modern enterprise server, cloud ARM, and developer workstation architectures.
AMD EPYC 9654
x86_64 · 96C/192T · AVX-512 · Ubuntu 24.04 LTS (Linux 6.8 kernel)
Rust 1.80.0 toolchain · release profile with LTO=fat, codegen-units=1, panic=abort, target-cpu=native · 10,000,000 iterations executed with warmup of 500,000 runs · Concurrency: 64 worker threads.
Deployment Modes & Latency Profiles
Deploy Exogram directly in-process or as a local sidecar depending on your architecture.
In-Process Rust / WASM Library
Best for: Node.js, Python, Go, and Rust agent runtimes running on the same host.
Local IPC Sidecar
Best for: Multi-container Kubernetes pods, microservices, and polyglot agent clusters.
Regional Edge Gateway
Best for: Centralized governance across distributed multi-cloud swarms and SaaS webhooks.
Anatomy of a 0.07ms Evaluation
Microsecond-level breakdown of the internal stages during a single tool call validation.
Tool Call Interception
Interception hook captures proposed tool name and serialized JSON payload before execution.
AST & Schema Parsing
Zero-copy JSON AST deserializer maps arguments into typed memory structures with schema invariant checks.
Bitmask Policy Matrix
SIMD-aligned bitwise operations evaluate permission masks, parameter boundaries, and role constraints in a single CPU cycle.
State & Rate Limit Adjudication
Atomic in-memory ring-buffer counter validates cumulative budget, sliding-window frequency, and state transitions.
Cryptographic SHA-256 Ledger Signing
Asynchronous batched commit appends immutable cryptographic proof to SQLite WAL ledger.
Run the Benchmark on Your Hardware
Execute the standardized benchmark harness directly on your machine or CI runner.
Frequently Asked Questions
Ready to Eliminate the 400ms Verification Tax?
Integrate Exogram Authority Runtime into your LangChain, CrewAI, AutoGen, or custom agent stack in under 5 minutes.