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chore: import upstream snapshot with attribution
2026-07-13 13:10:45 +08:00
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Hermes e2e suites

Hermes e2e tests execute the OpenSRE investigation pipeline against fixture-backed Hermes evidence with context_sources="hermes".

Run only Hermes e2e:

uv run pytest tests/e2e/hermes -m e2e -v

These tests are LLM-credential gated via has_credentials_for_active_llm_provider().

Surface Attribution (Part 5)

Part 5 extends Hermes RCA evaluation with surface attribution coverage.

Goals:

  • identify the failing subsystem family
  • select the closest historical analog scenario
  • generate actionable diagnostic follow-up questions

Synthetic Coverage

Primary scenario:

  • 050-surface-sprawl-unknown-adapter

Supporting components:

  • analog_registry.py
  • surface_scoring.py
  • adapter_tuples.json

Meta Evaluation

Run the attribution meta-suite:

uv run pytest tests/e2e/hermes/meta/test_surface_sprawl.py -q

The current attribution corpus contains 23 deterministic adapter tuples spanning:

  • messaging
  • provider
  • runtime
  • orchestration
  • memory
  • control

The meta-suite validates attribution consistency across all registered tuples.

Benchmarking

Generate an offline benchmark snapshot:

uv run python -m tests.synthetic.hermes_rca.run_suite --offline-only --write-history

Generate a benchmark report:

uv run python -m tests.synthetic.hermes_rca.benchmark_report