yy-workload-receipt is a Python package that produces deterministic receipts for AI workload usage. It provides prompt-free, auditable records for tracking consumption, supporting provenance and compliance needs. Licensed under Apache-2.0 and hosted on GitHub, it serves AI developers and organizations requiring reliable usage metering.
In the LLM eval & observability space, yy-workload-receipt takes a focused approach. Accurately tracking and auditing AI workload consumption without relying on variable prompts or non-deterministic outputs. It is built as an open-source project for developers. The project is open source (Apache-2.0). yy-workload-receipt is available on the command line and API.
It is developed by yycore, and it first shipped in 2026. The project is developed in the open on GitHub with 4 commits in the last 90 days. Among its 3 catalogued features are Usage Receipts, AI Auditing, and Provenance Tracking.
Summary written by a language model from the project’s public pages.
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