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- 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>
25 lines
520 B
TOML
25 lines
520 B
TOML
[project]
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name = "openjarvis-evals"
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version = "0.1.0"
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description = "Evaluation framework for OpenJarvis"
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requires-python = ">=3.10"
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dependencies = [
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"openjarvis>=1.0.0",
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"click>=8",
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"datasets>=2.14",
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"huggingface-hub>=0.20",
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"tqdm>=4.65",
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"rich>=13",
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"tomli>=2.0; python_version < '3.11'",
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]
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[project.optional-dependencies]
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dev = ["pytest>=8", "pytest-cov>=5"]
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[project.scripts]
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openjarvis-eval = "evals.cli:main"
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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