Add AgentRunProof to eval frameworks and harnesses - #81
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What changed
Adds one entry to §5a · Eval frameworks & harnesses.
Why it belongs
AgentRunProof is a provider-free runtime-regression harness for the OpenAI Agents SDK. It drives the real
Runnerwith deterministic scripts, comparesrunandrun_streamedbehavior, checksRunStateresume invariants, and emits content-addressed records.This is deliberately not presented as a model-quality evaluator. Its scope is SDK runtime correctness.
The public case study documents the evidence chain around two merged, member-authored upstream fixes:
The entry explicitly states that this is not OpenAI adoption or endorsement.
Evidence of outside use and review
208 passed, 5 skipped: test(openai-agents): exercise the real Runner offline loopgain-ai/loopgain#14 (comment). He then requested the narrower SDK-native fixture, so the merged default branch does not retain AgentRunProof. This is an external trial and technical review, not adoption.Disclosure and maturity
I maintain AgentRunProof. It is still new, has no claimed default-branch package adoption, and remains unproven beyond the public evidence and external trial above. The inclusion case is reproducible runtime evidence, upstream diagnostic impact, and the disclosed outside review—not stars or self-reported benchmark results.
Verification
main;git diff --checkpasses.README.mdwith one annotated entry.