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

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Markdown

# Hermes e2e suites
Hermes e2e tests execute the OpenSRE investigation pipeline against fixture-backed
Hermes evidence with `context_sources="hermes"`.
Run only Hermes e2e:
```bash
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:
```bash
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:
```bash
uv run python -m tests.synthetic.hermes_rca.run_suite --offline-only --write-history
```
Generate a benchmark report:
```bash
uv run python -m tests.synthetic.hermes_rca.benchmark_report
```