DOF — Deterministic Observability Framework

Problem Statement

AI agents today are black boxes. They execute tasks, but there's no way to verify they followed rules, no mathematical proof of correctness, and no immutable record of what happened. When an LLM hallucinates or violates safety constraints, there's no deterministic catch — because most "guardrails" are just more LLMs judging other LLMs. DOF solves this with three layers: 1. **Deterministic Governance** — Constitutional rules enforced without any LLM (ConstitutionEnforcer uses pattern matching and AST analysis, not AI) 2. **Formal Verification** — Z3 theorem prover mathematically proves system invariants hold (GCR=1.0 for all failure rates, SS=1-f³ monotonically decreasing) 3. **On-Chain Attestation** — Every proof hash is published to Avalanche C-Chain via keccak256, creating an immutable audit trail The result: trustless AI agent governance where correctness is provable, not promisable.