rdmbair15m5-changelog-20260822-0526-empirical-adversarial-testing

Executed comprehensive empirical adversarial stress-testing against Memory Budget Constraints, Corrupt/Boundary Media Inputs, and Hardware Profiler Concurrency/Latency. Identified 2 critical bugs (unhandled image decoding crash in VisionExtractor and gc.get_objects latency bottleneck in HardwareProfiler) and issued verdict REQUEST_CHANGES.

Scope

• Hosts: rdmbair15m5
• Project: /Users/richh/dev/local-llm-benchmark
• Files Created/Modified:
  • tests/tier5_adversarial/test_challenger_empirical.py (Created 15 empirical challenge tests)
  • .agents/challenger_1/BRIEFING.md
  • .agents/challenger_1/progress.md
  • .agents/challenger_1/handoff.md

Commands Run & Verification Evidence

• uv run pytest tests/tier5_adversarial/test_challenger_empirical.py -v -s
• 12 Passed, 3 Failed.
• Confirmed unhandled PIL.UnidentifiedImageError in src/pipeline/extractor.py lines 228, 239.
• Confirmed sample_now() latency of 12.27 ms in src/profiler/hardware.py due to gc.get_objects().

Backup & Reversal

• Test file located in tests/tier5_adversarial/test_challenger_empirical.py.

Outstanding Actions

• Remediate VisionExtractor.extract_single with try...except and media_item.error check.
• Remove gc.get_objects() traversal in _inspect_caller_adapter_memory().