FACET Glossary
This article defines the key terminology used in the FACET standard, a deterministic contract layer and language for defining, validating, and executing AI system behavior.
Why it matters
FACET aims to bring determinism and reproducibility to AI systems, mitigating vendor lock-in and enabling more robust, auditable AI applications.
Key Points
- 1FACET treats AI behavior as compiled software, not probabilistic improvisation
- 2FACET enforces determinism at the system level, not just the model level
- 3FACET uses a contract layer to prevent invalid states from entering execution
- 4FACET's Canonical JSON serves as a provider-agnostic, deterministic intermediate representation
Details
FACET is a deterministic contract layer and language (NADL) for defining, validating, and executing AI system behavior. It aims to treat AI as compiled software rather than probabilistic improvisation. FACET enforces determinism at the system level, ensuring consistent execution order, context layout, tool-calling semantics, and canonical JSON output. The contract layer is a key part of FACET, preventing invalid states from entering execution by defining valid inputs, outputs, constraints, and resource bounds. FACET's Canonical JSON serves as a provider-agnostic, structurally stable, and hashable intermediate representation, analogous to LLVM IR. Other key FACET concepts include the Facet Type System, Interfaces, Lenses, the Reactive Dependency Graph, and the Token Box Model for deterministic context allocation.
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