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Jon Saad-FalconandClaude Opus 4.6
323d7ff032
- Eval config: TOML-based suite configs defining models x benchmarks matrix, loaded via --config flag. Includes load_eval_config(), expand_suite(), 7 config dataclasses, 3 example configs, and 61 new tests. - Pillar-aligned config: generation params in IntelligenceConfig, nested engine/learning configs, agent objective/system_prompt/context_from_memory, structured learning sub-policies, TOML migration layer. - Documentation: evaluations user guide, evals API reference, updated mkdocs.yml navigation, updated architecture docs. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
24 lines
816 B
Python
24 lines
816 B
Python
"""Tests for heuristic policy registration."""
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from __future__ import annotations
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from openjarvis.core.registry import RouterPolicyRegistry
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from openjarvis.learning.heuristic_policy import ensure_registered
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from openjarvis.learning.router import HeuristicRouter
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class TestHeuristicPolicy:
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def test_registered_as_heuristic(self) -> None:
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ensure_registered()
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assert RouterPolicyRegistry.contains("heuristic")
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def test_value_is_heuristic_router(self) -> None:
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ensure_registered()
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assert RouterPolicyRegistry.get("heuristic") is HeuristicRouter
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def test_can_instantiate(self) -> None:
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ensure_registered()
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cls = RouterPolicyRegistry.get("heuristic")
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router = cls(available_models=["model-a"])
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assert router.available_models == ["model-a"]
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