pydantic-evals

SKILLFlujo de trabajocomunidad
v0.0.0FuenfgeldMITActualizado hace 1 mFuente →

Test and evaluate AI agents and LLM outputs using code-first evaluation framework with strong typing. Use when the user wants to: (1) Create evaluation datasets with test cases for AI agents, (2) Define evaluators (deterministic, LLM-as-Judge, custom, or span-based), (3) Run evaluations and generate

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hace 1 mÚltima actualización
Skill
AutorFuenfgeld
Versión0.0.0
LicenciaMIT
CategoríaFlujo de trabajo
Formatosskill.md
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Test and evaluate AI agents and LLM outputs using code-first evaluation framework with strong typing. Use when the user wants to: (1) Create evaluation datasets with test cases for AI agents, (2) Define evaluators (deterministic, LLM-as-Judge, custom, or span-based), (3) Run evaluations and generate reports, (4) Compare model performance across experiments, (5) Integrate evaluations with Pydantic

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