sectum-ai-spec 0.1.7

Sectum AI - Pydantic data models and JSON Schema for the verification spec.

sectum-ai-spec

Shared data models and JSON Schema for Sectum AI, the multi-tenant AI verification toolkit.

This distribution holds the Pydantic v2 models and exported JSON Schema that every other Sectum package builds on — Scenario, Marker, GroundTruthManifest, ProbeStep, Observation, Finding, RunResult, and EvidencePack — plus the typed error hierarchy (SectumError and friends). It is the lowest layer in the package graph and depends on nothing else in the family.

pip install sectum-ai-spec

Most users install the umbrella package sectum-ai instead, which pulls this in automatically.

JSON Schema

Every model is also published as a standalone JSON Schema document under sectum_ai/spec/schemas/<Model>.schema.json (shipped in the wheel). Each carries a $schema dialect (draft 2020-12) and a version-pinned $id (https://schemas.sectum.ai/<schema_version>/<Model>.schema.json), so external tooling can validate Sectum artifacts without importing Python:

from sectum_ai.spec import json_schemas
from sectum_ai.spec.schema import SCHEMA_DIR  # the committed, packaged artifacts

finding_schema = json_schemas()["Finding"]

The Pydantic models are authoritative; the schemas are generated from them. Regenerate after a model change with uv run python scripts/gen_schemas.py (a test fails if a committed artifact drifts). The schema_version field versions the models — bump it for a backward-incompatible change, then regenerate.

• Documentation: https://docs.sectum.ai
• Source: https://github.com/sectum-ai/sectum-ai

Apache-2.0.