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ArchitectureRust 2024 · hexagonal

Nineteen crates.
Four layers.

Engineered for the regulator-defensibility constraint from crate one — type-safe, memory-safe, async-first. A hexagonal workspace where dependencies point down and the domain crate depends on nothing. Explore it on the right.

19Rust crates
4Layers
25A2A agents
5Sister-LLMs
workspace · 19 crates · deps point ↓hexagonal
L4 · Customer-facing
L3 · Cognition
L2 · Geo-Neural Layer
L1 · Infrastructure
deino-api↓ 6 deps · ↑ 1 use it

HTTP/gRPC server, auth, routing — the composition root.

deino-loomdeino-oracledeino-sistersdeino-tidedeino-ledgerdeino-core

Live map · hover a crate to see its dependencies light up — the rule points down.

§ 01Why Rust

Production AI is too important for Python in production.

You’ve watched a team retrofit a Python ML stack into production. The ergonomics win gets eaten by the production cost, every time. DEINO is Rust from crate one — and the reasons are load-bearing, not aesthetic.

REASON · 01

Type & memory safety

No GIL contention, no runtime errors that should have been compile errors, no memory leaks under sustained load. The cost Python extracts in production, paid once at compile time.

REASON · 02

Determinism

In regulated AI, “almost reproducible” and “bit-for-bit reproducible” are the difference between passing audit and not. Rust’s guarantees are why DEINO can promise the latter.

REASON · 03

Manifests by typed code

Audit manifests are generated by the type system, not bolted on. Calibration regressions are enforced by types. The compiler is part of the compliance story.

REASON · 04

Tokio async

A single async runtime across the whole stack — streaming, A2A orchestration, ensemble fan-out. P95 < 150ms on million-node ontologies.

§ 02Sister-LLMs & A2A agents

Reasoning, orchestration, grounding.

The combination — sister-LLMs for reasoning, A2A for orchestration, the GNL for grounding — is what produces defensible forecasts where a single LLM would hallucinate.

5 ensemble sister-LLMs

Five independent LLM clients run in ensemble, each with separately-tuned prompts and calibration. deino-oracle synthesizes them into one distribution with explicit confidence. Any provider — you bring the keys.

25 specialized A2A agents

The agent-to-agent layer orchestrates 25 agents for distinct sub-tasks: disambiguation, axis calculation, network traversal, calibration weighting, manifest construction. Each versioned, each logged to the manifest.

The whole stack is what your senior engineers would have built with fifteen years and a clean sheet of paper.

DEINO engineering principle · architecture.md
§ Final

Architecture deep-dive with Carlos.

Bring your platform team. A 90-minute whiteboarding session on crate boundaries, deployment topology, and your specific integration points.