jsonld-ex 0.1.3

JSON-LD 1.2 extensions for AI/ML data exchange, security hardening, and validation

jsonld-ex

JSON-LD 1.2 Extensions for AI/ML Data Exchange, Security, and Validation

Reference implementation of proposed JSON-LD 1.2 extensions. Wraps PyLD for core processing and adds extension layers.

Install

pip install jsonld-ex

Quick Start

from jsonld_ex import JsonLdEx, annotate

# Annotate a value with AI/ML provenance
name = annotate(
    "John Smith",
    confidence=0.95,
    source="https://ml-model.example.org/ner-v2",
    method="NER",
)
# {'@value': 'John Smith', '@confidence': 0.95, '@source': '...', '@method': 'NER'}

# Validate against a shape
from jsonld_ex import validate_node

shape = {
    "@type": "Person",
    "name": {"@required": True, "@type": "xsd:string"},
    "age": {"@type": "xsd:integer", "@minimum": 0, "@maximum": 150},
}

result = validate_node({"@type": "Person", "name": "John", "age": 30}, shape)
assert result.valid

Features

• AI/ML Extensions: @confidence, @source, @extractedAt, @method, @humanVerified
• Vector Embeddings: @vector container type with dimension validation
• Security: @integrity context verification, allowlists, resource limits
• Validation: @shape native validation framework

Documentation

Full documentation and specifications: github.com/jemsbhai/jsonld-ex

License

MIT