AdapterOS
Deterministic inference runtime + verifiable execution receipts for regulated AI deployments.
What It Is
A deterministic inference runtime designed for high-stakes environments. AdapterOS ensures that identical inputs produce identical outputs across different execution environments. It generates cryptographic execution receipts to bind inputs, routing decisions, and outputs into a single verifiable artifact.
Why It Matters
In regulated and offline deployment, "usually works" is a failure mode. You need proof of what happened. You need systems that behave the same way under the same constraints.
Key Features
- Deterministic Inference Paths - Eliminating numerical divergence across runs.
- Cryptographic Execution Receipts - Verifiable proofs for every inference step.
- LoRA Hot-swap Adapters - Auditable multi-model routing.
- Fixed-point Quantization (Q15) - Optimizing for stability over floating-point variance.
- Canonical JSON Serialization - Stable hashing for model state and receipts.
Technical Identity
AdapterOS implement the core concepts of verifiable execution. It utilizes BLAKE3 for high-speed content addressing and HKDF-SHA256 for secure seed derivation in non-deterministic layers.