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receipt-chain

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

Metadata

Release files for receipt-chain 0.0.1

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

Source distribution (sdist)

Source distribution for receipt-chain 0.0.1
File Size Uploaded Provenance
receipt_chain-0.0.1.tar.gz 1.7 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for receipt-chain 0.0.1
File Interpreter ABI Platform
receipt_chain-0.0.1-py3-none-any.whl Python 3 none any Details

Total release size: 3.9 kB

Release files / receipt_chain-0.0.1.tar.gz

Download URL receipt_chain-0.0.1.tar.gz
Size 1.7 kB
Tags Source
SHA-256 checksum
How to use checksums
756d7f051a6d207cc1c81684392b1d8770b6f46cced15b8cabe8eaa7fb4c8cf8
BLAKE2b-256 checksum
How to use checksums
97218d344bf208d542be574544a46882f9ced722b76d3844a0596ac6db96e435
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.11.0rc1

Release files / receipt_chain-0.0.1-py3-none-any.whl

Download URL receipt_chain-0.0.1-py3-none-any.whl
Size 2.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
6fcb6f2109ad1aabf640dcbdff4e303de40ce1b07463519f0ce58e7c5ad88add
BLAKE2b-256 checksum
How to use checksums
ed73a5a6452dde9100204a8a556df023ecaa340456a30da06f8ff67447f1c3ac
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.11.0rc1

Security for receipt-chain 0.0.1

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This release

0.0.1 This release

2 release files No provenance

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