Repo · Benchmarks & research
Typed Evals
Evaluate LLM responses, RAG samples, and agent traces with TypeSafe Jev as the judge, including optional calibration against human labels and…
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Fast, typed, calibrated evaluations for LLM and agent outputs, powered by Jev — with simple, framework-agnostic Python APIs
aiai-agentscrewaievalsevaluationevaluation-frameworkevaluation-metricsjevlangchainllmllm-evaluationmicrosoft-agent-frameworkragsystem-one-modelstyped-evals
How builders describe it
Evaluate LLM responses, RAG samples, and agent traces with TypeSafe Jev as the judge, including optional calibration against human labels and tool-call guards before execution.
The decision Jev makes
Benchmark questions with known answers, to check accuracy and confidence.
Where it fits
Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 682 benchmarks & research projects →
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