Skip to main content

ai-evidence (Python)

Python implementation of the AI Evidence Manifest — a static /ai.json file that links the claims a site makes to the first-party evidence supporting them.

pip install ai-evidence
ai-evidence init https://example.com   # write ai-evidence.config.json
ai-evidence generate                   # read the site, write ai.json
ai-evidence check ai.json --update     # re-verify, record freshness
ai-evidence repair ai.json             # relocate quotes that have drifted

As a library:

from ai_evidence import validate_manifest, parse_manifest

manifest, size = parse_manifest(open("ai.json").read())
result = validate_manifest(manifest, offline=False)

print(result["valid"], result["stats"])

Parity with the JavaScript implementation

Both implementations load the same shared/patterns.json and validate against the same JSON Schema, and a conformance corpus checks that they produce identical output for identical input. Where the two regex engines differ — the spelling of Unicode character classes — the shared file uses placeholders that each language substitutes.

Licence

Apache-2.0 — specification, schema and both reference implementations alike.

Release files for ai-evidence 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ai-evidence 0.2.0
File Size Uploaded
ai_evidence-0.2.0.tar.gz 31.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for ai-evidence 0.2.0
File Interpreter ABI Platform
ai_evidence-0.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 71.3 kB

Release files / ai_evidence-0.2.0.tar.gz

Download URL ai_evidence-0.2.0.tar.gz
Size 31.3 kB
Tags Source
SHA-256 checksum
How to use checksums
ac7be36e6f52845bca7ef154ba968033159dc5d6b2019494f658bd05bb0f5350
BLAKE2b-256 checksum
How to use checksums
9b75e055e79f0d2e12322b0d3ffd90e6a259dbd3e608802a5d6f841596e91c7d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.11.14

Release files / ai_evidence-0.2.0-py3-none-any.whl

Download URL ai_evidence-0.2.0-py3-none-any.whl
Size 40.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
033ec716fdb6fdadbe00b99752d53227fd86140ca9a40adf3af4b5b933279cee
BLAKE2b-256 checksum
How to use checksums
3ce8a16ae9ee13cb21d792956fe434e897f52bfeea9dd86a118d6bf35318d947
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.11.14

Release history Release notifications | RSS feed

0.3.0

2 release files

This release

0.2.0 This release

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page