The conformance package is a Python tool for verifying that AI agent runtimes uphold nine operational invariants when subjected to injected faults. It generates reproducible evidence for testing determinism and reliability. Designed for developers working with LLM-based agents, it is available on PyPI under an Apache-2.0 license.
conformance is a LLM eval & observability project. It focuses on ensuring AI agent runtimes behave reliably by verifying operational invariants under fault conditions. conformance is an open-source project aimed at ai developers. conformance is open source under the Apache-2.0 license. It runs on the command line.
Behind conformance is Rohit Bind, and it first shipped in 2026. Key capabilities include Fault Injection, Invariant Testing, and Reproducible Evidence.
Summary written by a language model from the project’s public pages.
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