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ai-receipt

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

Metadata

Release files for ai-receipt 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 ai-receipt 0.0.1
File Size Uploaded Provenance
ai_receipt-0.0.1.tar.gz 1.7 kB Without provenance Details

Built distribution (wheel)

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

Total release size: 3.8 kB

Release files / ai_receipt-0.0.1.tar.gz

Download URL ai_receipt-0.0.1.tar.gz
Size 1.7 kB
Tags Source
SHA-256 checksum
How to use checksums
e01c1832b5197e4bff9193633c6672362074736fa0a9eaa800bc01ad53bb23f5
BLAKE2b-256 checksum
How to use checksums
f0de145bcf4bfec062a48e055cb53067cc92b442643a7f4fac3b9bd27d9d5be6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.11.0rc1

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

Download URL ai_receipt-0.0.1-py3-none-any.whl
Size 2.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
cd90a2ff846414a4ea95d8af7e758045ff601ceb407618e94efc50d3b472e9bb
BLAKE2b-256 checksum
How to use checksums
5dd74cf8b8753ff884dcf6a5c8ea10776c27d6f9666f527c6a5a5b8fbbdc01a7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.11.0rc1

Security for ai-receipt 0.0.1

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This release

0.0.1 This release

2 release files No provenance

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