10³ Architecture¶
A governed LLM control-plane runtime. Where most LLM tooling is permissive by default, 10³ is restrictive by design. The constraint is the feature.
What it is¶
10³ Architecture is a local Python runtime that sits between you and a language model and governs how that interaction behaves. Execution limits are hard-coded. Content boundaries are enforced recursively. Every structural decision is documented in an ADR before it is implemented.
The system knows what it will not do, and that refusal is structural rather than conventional.
Architecture principles¶
Determinism first -- all routing and execution behaviour is predictable and reproducible. No dynamic routing. No autonomous behaviour.
Bounded execution -- all control flows have explicit limits. The system rejects recursive or unbounded execution paths.
Architecture before implementation -- structural changes require an ADR before code changes. The repository is the canonical source of truth.
Governance by design -- operational constraints are enforced structurally in the runtime, not through convention.
How it works¶
The runtime operates across three layers:
Capability Layer -- context is processed and governed before input reaches the language model. Capabilities are registry-controlled, explicitly declared, and single-execution only.
Execution Engine -- a fully deterministic pipeline operating under hard-coded pass limits. Reproducible behaviour is a structural invariant, not a goal.
Challenger Layer -- a structured audit prior to delivery, with a bounded revision cycle and defined termination conditions. The system does not iterate indefinitely.
What it is not¶
10³ Architecture is not an agent framework, a dynamic tool orchestrator, a workflow engine, or a recursive reasoning pipeline. These exclusions are structural, not conventional.
Status¶
| Phase | Description | Status |
|---|---|---|
| 1 | Control Plane | Stabilised |
| 2 | Structural Consolidation | Complete |
| 3 | Capability Layer | Complete |
| 4 | Context Architecture Formalisation | Active |
| 5 | Runtime Observability and Optimisation | Planned |
| 6 | Memory Architecture | Planned |