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0.0.1

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ai-integrity

AI Integrity → This package is now `aiir`. Install: pip install aiir

aiattestationauditcomplianceinferenceintegrityllmreceipts
Published7 Mar 2026
Direct dependencies1
Transitive dependenciesNot calculated

README

Version 0.0.1 documentation

ai-integrity

This package has been consolidated into aiir.

Install the real package

pip install aiir

What is AIIR?

AI Integrity Receipts — lightweight cryptographic commitment records generated during AI inference that bind model identity, sampling configuration, and output tokens into a tamper-evident hash chain.

  • Zero external dependencies (Python stdlib only)
  • Receipt generation in < 100 µs
  • SHA-256 hash chains with O(1) amortized cost
  • Works with any model format (GGUF, ONNX, cloud APIs)
  • MCP server for Claude / Copilot / ChatGPT integration

Links

This package (ai-integrity) exists to redirect users to the canonical aiir package. Installing it will automatically install aiir as a dependency.

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Declared dependencies 1

Native requirements
1 direct targetsNot calculated transitive count
Package / targetRequirementRelationship
aiir
Environment
{
  "extras": "",
  "marker": null,
  "requires_python": ">=3.9",
  "evaluation": "NOT_EVALUATED"
}
aiirruntime

Distribution files

2 collected
ai_integrity-0.0.1-py3-none-any.whl

bdist_wheel · 2.12 KB · Python py3

Source file
ai_integrity-0.0.1.tar.gz

sdist · 1.64 KB · Python source

Source file

Repository

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invariant-systems-ai/receipt-action

Shared repository data · GitHub

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Current collected state Current

Observed since 21 Oct, 11:03 UTC

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Record identity

package_version:6df032ddea1b06eb4615b518b9b044d6bbb384aef97840719b3ed4dd185aaba6

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