Uses of Package
com.tnsai.evaluation.model
Packages that use com.tnsai.evaluation.model
Package
Description
Self-improving agent evaluation loop (auto-harness pattern).
Layer 2: Benchmark engine for running test datasets, collecting results,
and detecting regressions against saved baselines.
Layer 1: Evaluators that score agent behavior on specific dimensions.
Agent-tier evaluators (TNS-373).
G-Eval: LLM-as-judge evaluation using chain-of-thought scoring.
RAG (Retrieval-Augmented Generation) evaluation metrics.
Safety evaluation metrics for LLM outputs.
Data model records for evaluation results, test cases, baselines, and configuration.
Layer 3: Quality gates, evaluation reports, and trend analysis.
SPI interfaces for the evaluation framework.
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Classes in com.tnsai.evaluation.model used by com.tnsai.evaluation.autoharnessClassDescriptionAggregated result of running a benchmark dataset.A single test case in a benchmark dataset.
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Classes in com.tnsai.evaluation.model used by com.tnsai.evaluation.benchmarkClassDescriptionA saved baseline from a benchmark run, used for regression detection.Aggregated result of running a benchmark dataset.A single test case in a benchmark dataset.A collection of test cases for benchmarking.
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Classes in com.tnsai.evaluation.model used by com.tnsai.evaluation.bridge
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Classes in com.tnsai.evaluation.model used by com.tnsai.evaluation.evaluators
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Classes in com.tnsai.evaluation.model used by com.tnsai.evaluation.evaluators.agent
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Classes in com.tnsai.evaluation.model used by com.tnsai.evaluation.evaluators.geval
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Classes in com.tnsai.evaluation.model used by com.tnsai.evaluation.evaluators.rag
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Classes in com.tnsai.evaluation.model used by com.tnsai.evaluation.evaluators.safety
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Classes in com.tnsai.evaluation.model used by com.tnsai.evaluation.junit
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Classes in com.tnsai.evaluation.model used by com.tnsai.evaluation.modelClassDescriptionA saved baseline from a benchmark run, used for regression detection.Aggregated result of running a benchmark dataset.Result for a single test case within a benchmark run.Result of a single evaluation.Configuration for quality gate pass/fail thresholds.A single test case in a benchmark dataset.A collection of test cases for benchmarking.
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Classes in com.tnsai.evaluation.model used by com.tnsai.evaluation.reportingClassDescriptionA saved baseline from a benchmark run, used for regression detection.Aggregated result of running a benchmark dataset.Result for a single test case within a benchmark run.Configuration for quality gate pass/fail thresholds.
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Classes in com.tnsai.evaluation.model used by com.tnsai.evaluation.spi