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Harness evaluations

中文说明

Offline eval fixtures and the code that scores them. An eval measures one architecture or quality boundary across a whole set of cases, which is a different job from the focused assertions in ../../tests/; it complements them and does not replace them.

Files

File Responsibility
__init__.py Exports the action-routing and retrosynthesis-backend evaluation surfaces.
action_routing.py Scores the deterministic router, route_action. Each fixture is one recorded model reply standing for a task class: a native Tool batch, a Python or R Cell, an Engine finalization, prose that must not be read as completion, an unsupported fence, and the two priority rules — a native Tool batch beats a fenced Cell, and only the first Cell in a reply is routed. The report carries accuracy, a confusion map, and every case with its pass/fail.
retrosynthesis_backends.py Replays versioned external-model responses through the production response normalizer without loading model weights. It scores schema validity, expected success/error behavior, prediction counts, checkpoint-provenance completeness, scored-prediction coverage, and deterministic response digests.
retrosynthesis_backend_cases.json Synthetic, public-safe response tapes for one successful RetroChimera-shaped prediction batch and one checkpoint-download refusal. The fixtures contain no model weights, private chemistry, network result, or real checkpoint path.
.gitkeep Keeps the directory tracked in git, whatever the current set of scorers happens to be.

Both evaluators are deterministic and need no provider key, network, kernel, GPU, or optional model package. The action-routing pytest contract is ../../tests/test_action_routing_eval.py; the external-model protocol and replay contracts are exercised by ../../tests/test_harness_contract.py.