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.
1 maintainer
Metadata
1 maintainer
Release files for sectum-ai-spec 0.11.0
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| sectum_ai_spec-0.11.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 70.3 kB
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