QAVE Docs

Architecture Overview

Separated Reasoning & Deterministic Scoring for sovereign AI assurance.

QAVE — Sovereign AI Assurance

QAVE (Qurator Assurance Vertical Engine) separates generative reasoning from deterministic reward scoring:

  1. Reasoning lane — criteria-aware critic extracts grounded evidence (evidence_v0) with optional Knowledge Base, annotations, and ground_truth.
  2. Scoring lane — calibrated 4B / Lightning 1.7B reward heads produce a stable score in [0, 1] against operating-point τ*.
  3. Context — up to 350K OneGulp entitled windows on Assurance Deep paths.
  4. Deployment — Freemium / Paid self-serve or air-gapped Sovereign (unmetered contract keys).

Core surfaces

SurfacePath
Studiostudio.* → /assurance, /insights, /history, /knowledge
Docs (this site)docs.* — zero auth
Evaluate APIPOST /evaluate and POST /v1/assure/evaluate (unified)
MCPPOST /v1/assure/mcp

Studio loop

Setup → Assure → Calibration → Insights — see Getting Started.

Continue with the Criteria Writing Guide or jump to a cookbook.