Index (TnsAI Evaluation 0.18.7 API)

A B C D E F G H I J K L M N O P Q R S T U V W
All Classes and Interfaces|All Packages|Constant Field Values

A

absoluteChange() - Method in record class com.tnsai.evaluation.reporting.TrendAnalyzer.MetricTrend: Returns the value of the absoluteChange record component.
AbstractJudgeEvaluator - Class in com.tnsai.evaluation.evaluators: Base for single-call LLM-as-judge evaluators: build one prompt, send it to the LLMJudge once, parse the verdict.
actualToolSequence() - Method in record class com.tnsai.evaluation.model.BenchmarkResult.TestCaseResult: Returns the value of the actualToolSequence record component.
actualToolSequence() - Method in record class com.tnsai.evaluation.spi.Evaluator.EvaluationInput: Returns the value of the actualToolSequence record component.
actualToolSequence(List<String>) - Method in class com.tnsai.evaluation.spi.Evaluator.EvaluationInput.Builder
adapt(AgentTrace) - Method in class com.tnsai.evaluation.bridge.TraceToEvalAdapter: Converts an AgentTrace to an EvaluationInput.
agentFunction(Function<TestCase, BenchmarkRunner.AgentOutput>) - Method in class com.tnsai.evaluation.benchmark.BenchmarkRunner.Builder
agentId() - Method in record class com.tnsai.evaluation.autoharness.FailureRecord: Returns the value of the agentId record component.
agentId() - Method in record class com.tnsai.evaluation.bridge.TraceEvalBridge.FailedEvaluation: Returns the value of the agentId record component.
AgentOutput(String, List<String>, double, int, int) - Constructor for record class com.tnsai.evaluation.benchmark.BenchmarkRunner.AgentOutput: Creates an instance of a AgentOutput record class.
agentResponse() - Method in record class com.tnsai.evaluation.model.BenchmarkResult.TestCaseResult: Returns the value of the agentResponse record component.
agentResponse() - Method in record class com.tnsai.evaluation.spi.Evaluator.EvaluationInput: Returns the value of the agentResponse record component.
agentResponse(String) - Method in class com.tnsai.evaluation.spi.Evaluator.EvaluationInput.Builder
aggregateScores() - Method in record class com.tnsai.evaluation.model.BenchmarkResult: Returns the value of the aggregateScores record component.
analyze(List<Baseline>) - Static method in class com.tnsai.evaluation.reporting.TrendAnalyzer: Analyzes trends across ordered baselines (oldest first).
analyze(List<Double>) - Static method in class com.tnsai.evaluation.benchmark.StatisticalAnalyzer
annotate(AgentTrace, List<EvaluationResult>) - Method in class com.tnsai.evaluation.bridge.EvalSpanAnnotator: Annotates a trace with evaluation results as scores.
AnswerRelevancyEvaluator - Class in com.tnsai.evaluation.evaluators.rag: Measures whether the agent's response actually addresses the user's query.
AnswerRelevancyEvaluator(LLMJudge) - Constructor for class com.tnsai.evaluation.evaluators.rag.AnswerRelevancyEvaluator
Architecture - Search tag in package com.tnsai.evaluation: Section
assertEval(String, Evaluator...) - Method in class com.tnsai.evaluation.junit.EvalAssert: Runs evaluators against the agent output and returns an assertion chain.
assertEval(String, Map<String, Object>, Evaluator...) - Method in class com.tnsai.evaluation.junit.EvalAssert: Runs evaluators with additional metadata (tool sequences, latency, etc.).
AutoHarnessLoop - Class in com.tnsai.evaluation.autoharness: Orchestrates the self-improving evaluation loop: mine → cluster → generate → gate.
AutoHarnessLoop.Builder - Class in com.tnsai.evaluation.autoharness
AutoHarnessLoop.LoopResult - Record Class in com.tnsai.evaluation.autoharness: Result of a single auto-harness loop iteration.

B

Baseline - Record Class in com.tnsai.evaluation.model: A saved baseline from a benchmark run, used for regression detection.
Baseline(String, String, Instant, Map<String, Double>, Map<String, Object>) - Constructor for record class com.tnsai.evaluation.model.Baseline: Creates an instance of a Baseline record class.
BaselineStore - Class in com.tnsai.evaluation.benchmark: Persistent store for benchmark baselines.
BaselineStore(Path) - Constructor for class com.tnsai.evaluation.benchmark.BaselineStore
benchmarkResult() - Method in record class com.tnsai.evaluation.autoharness.RegressionGate.GateResult: Returns the value of the benchmarkResult record component.
BenchmarkResult - Record Class in com.tnsai.evaluation.model: Aggregated result of running a benchmark dataset.
BenchmarkResult(String, String, Instant, Instant, List<BenchmarkResult.TestCaseResult>, Map<String, Double>) - Constructor for record class com.tnsai.evaluation.model.BenchmarkResult: Creates an instance of a BenchmarkResult record class.
BenchmarkResult.TestCaseResult - Record Class in com.tnsai.evaluation.model: Result for a single test case within a benchmark run.
BenchmarkRunner - Class in com.tnsai.evaluation.benchmark: Runs benchmark datasets against an agent execution function, collecting evaluation results from registered evaluators.
BenchmarkRunner.AgentOutput - Record Class in com.tnsai.evaluation.benchmark: Output from agent execution for a test case.
BenchmarkRunner.Builder - Class in com.tnsai.evaluation.benchmark
bestCases(int) - Method in class com.tnsai.evaluation.reporting.EvaluationReport: Returns the best-performing test cases.
BiasEvaluator - Class in com.tnsai.evaluation.evaluators.safety: Detects demographic, cultural, or ideological bias in agent responses.
BiasEvaluator(LLMJudge) - Constructor for class com.tnsai.evaluation.evaluators.safety.BiasEvaluator
build() - Method in class com.tnsai.evaluation.autoharness.AutoHarnessLoop.Builder
build() - Method in class com.tnsai.evaluation.benchmark.BenchmarkRunner.Builder
build() - Method in class com.tnsai.evaluation.bridge.TraceEvalBridge.Builder
build() - Method in class com.tnsai.evaluation.model.QualityGateConfig.Builder
build() - Method in class com.tnsai.evaluation.spi.Evaluator.EvaluationInput.Builder
builder() - Static method in class com.tnsai.evaluation.autoharness.AutoHarnessLoop
builder() - Static method in class com.tnsai.evaluation.benchmark.BenchmarkRunner
builder() - Static method in class com.tnsai.evaluation.bridge.TraceEvalBridge
builder() - Static method in record class com.tnsai.evaluation.model.QualityGateConfig: Builder for fluent construction.
builder() - Static method in record class com.tnsai.evaluation.spi.Evaluator.EvaluationInput
Builder() - Constructor for class com.tnsai.evaluation.autoharness.AutoHarnessLoop.Builder
Builder() - Constructor for class com.tnsai.evaluation.benchmark.BenchmarkRunner.Builder
Builder() - Constructor for class com.tnsai.evaluation.bridge.TraceEvalBridge.Builder
Builder() - Constructor for class com.tnsai.evaluation.model.QualityGateConfig.Builder
Builder() - Constructor for class com.tnsai.evaluation.spi.Evaluator.EvaluationInput.Builder
bySlice() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchModelScore
bytesPerDoc() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchModel: Returns the value of the bytesPerDoc record component.

C

caseResults() - Method in record class com.tnsai.evaluation.model.BenchmarkResult: Returns the value of the caseResults record component.
cases() - Method in record class com.tnsai.evaluation.model.TestDataset: Returns the value of the cases record component.
cause() - Method in record class com.tnsai.evaluation.autoharness.FailureCluster: Returns the value of the cause record component.
changeProductionDefault() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchRecommendation.Decision: Returns the value of the changeProductionDefault record component.
ciLower() - Method in record class com.tnsai.evaluation.benchmark.StatisticalAnalyzer.Stats: Returns the value of the ciLower record component.
ciUpper() - Method in record class com.tnsai.evaluation.benchmark.StatisticalAnalyzer.Stats: Returns the value of the ciUpper record component.
CLASSPATH_RESOURCE - Static variable in class com.tnsai.evaluation.rag.embedding.EmbeddingBenchCorpus
clear() - Method in class com.tnsai.evaluation.autoharness.DefaultFailureMiner
clear() - Method in interface com.tnsai.evaluation.autoharness.FailureMiner: Clears the internal failure buffer.
cluster(List<FailureRecord>) - Method in interface com.tnsai.evaluation.autoharness.FailureClusterer: Clusters the given failures by root cause.
cluster(List<FailureRecord>) - Method in class com.tnsai.evaluation.autoharness.SimpleFailureClusterer
clusterCount() - Method in record class com.tnsai.evaluation.autoharness.AutoHarnessLoop.LoopResult: Returns the value of the clusterCount record component.
clusterer(FailureClusterer) - Method in class com.tnsai.evaluation.autoharness.AutoHarnessLoop.Builder
clusterKey() - Method in record class com.tnsai.evaluation.autoharness.FailureCluster: Returns the value of the clusterKey record component.
com.tnsai.evaluation - package com.tnsai.evaluation: TnsAI Evaluation Framework - unified evaluation, benchmarking, and quality gating.
com.tnsai.evaluation.autoharness - package com.tnsai.evaluation.autoharness: Self-improving agent evaluation loop (auto-harness pattern).
com.tnsai.evaluation.benchmark - package com.tnsai.evaluation.benchmark: Layer 2: Benchmark engine for running test datasets, collecting results, and detecting regressions against saved baselines.
com.tnsai.evaluation.bridge - package com.tnsai.evaluation.bridge
com.tnsai.evaluation.evaluators - package com.tnsai.evaluation.evaluators: Layer 1: Evaluators that score agent behavior on specific dimensions.
com.tnsai.evaluation.evaluators.agent - package com.tnsai.evaluation.evaluators.agent: Agent-tier evaluators (TNS-373).
com.tnsai.evaluation.evaluators.geval - package com.tnsai.evaluation.evaluators.geval: G-Eval: LLM-as-judge evaluation using chain-of-thought scoring.
com.tnsai.evaluation.evaluators.multiturn - package com.tnsai.evaluation.evaluators.multiturn: Multi-turn conversation evaluation metrics.
com.tnsai.evaluation.evaluators.rag - package com.tnsai.evaluation.evaluators.rag: RAG (Retrieval-Augmented Generation) evaluation metrics.
com.tnsai.evaluation.evaluators.safety - package com.tnsai.evaluation.evaluators.safety: Safety evaluation metrics for LLM outputs.
com.tnsai.evaluation.junit - package com.tnsai.evaluation.junit
com.tnsai.evaluation.model - package com.tnsai.evaluation.model: Data model records for evaluation results, test cases, baselines, and configuration.
com.tnsai.evaluation.rag.embedding - package com.tnsai.evaluation.rag.embedding: Opt-in multilingual embedding retrieval bench (TAN-2998).
com.tnsai.evaluation.reporting - package com.tnsai.evaluation.reporting: Layer 3: Quality gates, evaluation reports, and trend analysis.
com.tnsai.evaluation.spi - package com.tnsai.evaluation.spi: SPI interfaces for the evaluation framework.
com.tnsai.evaluation.util - package com.tnsai.evaluation.util
context() - Method in record class com.tnsai.evaluation.autoharness.FailureRecord: Returns the value of the context record component.
ContextualPrecisionEvaluator - Class in com.tnsai.evaluation.evaluators.rag: Measures whether retrieved documents are relevant to the query.
ContextualPrecisionEvaluator(LLMJudge) - Constructor for class com.tnsai.evaluation.evaluators.rag.ContextualPrecisionEvaluator
ContextualRecallEvaluator - Class in com.tnsai.evaluation.evaluators.rag: Measures whether all relevant information needed for the answer was retrieved.
ContextualRecallEvaluator(LLMJudge) - Constructor for class com.tnsai.evaluation.evaluators.rag.ContextualRecallEvaluator
ConversationCompletenessEvaluator - Class in com.tnsai.evaluation.evaluators.multiturn: Measures whether a multi-turn conversation achieved its stated goal.
ConversationCompletenessEvaluator(LLMJudge) - Constructor for class com.tnsai.evaluation.evaluators.multiturn.ConversationCompletenessEvaluator
Core abstractions - Search tag in package com.tnsai.evaluation.autoharness: Section
CostEfficiencyEvaluator - Class in com.tnsai.evaluation.evaluators: Evaluates cost efficiency: cost per successful task completion.
CostEfficiencyEvaluator() - Constructor for class com.tnsai.evaluation.evaluators.CostEfficiencyEvaluator: Creates with default budgets: $0.10 cost, 30s latency.
CostEfficiencyEvaluator(double, long) - Constructor for class com.tnsai.evaluation.evaluators.CostEfficiencyEvaluator: Creates with custom budgets.
costUsd() - Method in record class com.tnsai.evaluation.benchmark.BenchmarkRunner.AgentOutput: Returns the value of the costUsd record component.
costUsd() - Method in record class com.tnsai.evaluation.model.BenchmarkResult.TestCaseResult: Returns the value of the costUsd record component.
costUsd() - Method in record class com.tnsai.evaluation.spi.Evaluator.EvaluationInput: Returns the value of the costUsd record component.
costUsd(double) - Method in class com.tnsai.evaluation.spi.Evaluator.EvaluationInput.Builder
count() - Method in record class com.tnsai.evaluation.autoharness.FailureCluster: Returns the value of the count record component.
count() - Method in record class com.tnsai.evaluation.benchmark.StatisticalAnalyzer.Stats: Returns the value of the count record component.
CREDIT_CARD - Enum constant in enum class com.tnsai.evaluation.evaluators.safety.PIILeakageEvaluator.Category
CROSS - Enum constant in enum class com.tnsai.evaluation.rag.embedding.EmbeddingBenchSlice

D

dataset() - Element in annotation interface com.tnsai.evaluation.junit.EvalTest: Path to the dataset JSON file.
datasetName() - Method in record class com.tnsai.evaluation.model.Baseline: Returns the value of the datasetName record component.
datasetName() - Method in record class com.tnsai.evaluation.model.BenchmarkResult: Returns the value of the datasetName record component.
decide(List<EmbeddingBenchModelScore>) - Static method in class com.tnsai.evaluation.rag.embedding.EmbeddingBenchRecommendation
Decision(String, boolean, String, String, String, String, String) - Constructor for record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchRecommendation.Decision: Creates an instance of a Decision record class.
DefaultEvalCaseGenerator - Class in com.tnsai.evaluation.autoharness: Generates BenchmarkRunner-compatible regression test cases from failure clusters.
DefaultEvalCaseGenerator() - Constructor for class com.tnsai.evaluation.autoharness.DefaultEvalCaseGenerator
DefaultEvalCaseGenerator(int) - Constructor for class com.tnsai.evaluation.autoharness.DefaultEvalCaseGenerator
DefaultFailureMiner - Class in com.tnsai.evaluation.autoharness: Thread-safe FailureMiner that collects failures reported via DefaultFailureMiner.record(FailureRecord).
DefaultFailureMiner() - Constructor for class com.tnsai.evaluation.autoharness.DefaultFailureMiner
defaults() - Static method in record class com.tnsai.evaluation.model.QualityGateConfig: Default config: 0.7 threshold, 5% max regression, 80% pass rate.
defaultThreshold() - Method in record class com.tnsai.evaluation.model.QualityGateConfig: Returns the value of the defaultThreshold record component.
defaultThreshold(double) - Method in class com.tnsai.evaluation.model.QualityGateConfig.Builder
DEGRADING - Enum constant in enum class com.tnsai.evaluation.reporting.TrendAnalyzer.Direction
degradingMetrics() - Method in record class com.tnsai.evaluation.reporting.TrendAnalyzer.TrendReport
description() - Method in record class com.tnsai.evaluation.model.TestDataset: Returns the value of the description record component.
details() - Method in record class com.tnsai.evaluation.bridge.TraceEvalBridge.FailedEvaluation: Returns the value of the details record component.
details() - Method in record class com.tnsai.evaluation.model.EvaluationResult: Returns the value of the details record component.
DIM_384 - Static variable in class com.tnsai.evaluation.rag.embedding.TokenBagEmbeddingFunction
dimensions() - Method in class com.tnsai.evaluation.rag.embedding.TokenBagEmbeddingFunction
direction() - Method in record class com.tnsai.evaluation.reporting.TrendAnalyzer.MetricTrend: Returns the value of the direction record component.
document() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchPair: Returns the value of the document record component.
documentEmbedder() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchModel: Returns the value of the documentEmbedder record component.
documentId() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchPair: Returns the value of the documentId record component.
duration() - Method in record class com.tnsai.evaluation.model.BenchmarkResult

E

EMAIL - Enum constant in enum class com.tnsai.evaluation.evaluators.safety.PIILeakageEvaluator.Category
embed(String) - Method in class com.tnsai.evaluation.rag.embedding.OllamaEmbeddingFunction
embed(String) - Method in class com.tnsai.evaluation.rag.embedding.TokenBagEmbeddingFunction
EmbeddingBenchCorpus - Class in com.tnsai.evaluation.rag.embedding: Fixed TR/EN retrieval fixture shipped with the evaluation module.
EmbeddingBenchModel - Record Class in com.tnsai.evaluation.rag.embedding: Named embedder under comparison.
EmbeddingBenchModel(String, int, int, int, EmbeddingFunction, EmbeddingFunction) - Constructor for record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchModel: Creates an instance of a EmbeddingBenchModel record class.
EmbeddingBenchModelScore - Record Class in com.tnsai.evaluation.rag.embedding: Per-model scorecard across every slice.
EmbeddingBenchModelScore(EmbeddingBenchModel, List<EmbeddingBenchSliceScore>) - Constructor for record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchModelScore: Creates an instance of a EmbeddingBenchModelScore record class.
EmbeddingBenchPair - Record Class in com.tnsai.evaluation.rag.embedding: One query and its gold document inside a EmbeddingBenchSlice.
EmbeddingBenchPair(String, EmbeddingBenchSlice, String, String, String) - Constructor for record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchPair: Creates an instance of a EmbeddingBenchPair record class.
EmbeddingBenchRecommendation - Class in com.tnsai.evaluation.rag.embedding: Picks a default candidate and a quality override from measured scores.
EmbeddingBenchRecommendation.Decision - Record Class in com.tnsai.evaluation.rag.embedding
EmbeddingBenchReport - Class in com.tnsai.evaluation.rag.embedding: Renders a markdown table for the measured model × slice matrix.
EmbeddingBenchRunner - Class in com.tnsai.evaluation.rag.embedding: Runs the bilingual fixture against one or more EmbeddingBenchModels.
EmbeddingBenchRunner(EmbeddingBenchCorpus) - Constructor for class com.tnsai.evaluation.rag.embedding.EmbeddingBenchRunner
EmbeddingBenchSlice - Enum Class in com.tnsai.evaluation.rag.embedding: Language slice of the bilingual retrieval fixture.
EmbeddingBenchSliceScore - Record Class in com.tnsai.evaluation.rag.embedding: Retrieval metrics for one language slice.
EmbeddingBenchSliceScore(EmbeddingBenchSlice, int, double, double, double) - Constructor for record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchSliceScore: Creates an instance of a EmbeddingBenchSliceScore record class.
embedLatencyP50Ms() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchSliceScore: Returns the value of the embedLatencyP50Ms record component.
embedQuery(String) - Method in class com.tnsai.evaluation.rag.embedding.OllamaEmbeddingFunction: Embeds a retrieval query with the model-specific query prefix.
EMPTY - Static variable in record class com.tnsai.evaluation.benchmark.StatisticalAnalyzer.Stats
EN - Enum constant in enum class com.tnsai.evaluation.rag.embedding.EmbeddingBenchSlice
endTime() - Method in record class com.tnsai.evaluation.model.BenchmarkResult: Returns the value of the endTime record component.
equals(Object) - Method in record class com.tnsai.evaluation.autoharness.AutoHarnessLoop.LoopResult: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class com.tnsai.evaluation.autoharness.EvalCase: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class com.tnsai.evaluation.autoharness.FailureCluster: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class com.tnsai.evaluation.autoharness.FailureRecord: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class com.tnsai.evaluation.autoharness.RegressionGate.GateResult: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class com.tnsai.evaluation.benchmark.BenchmarkRunner.AgentOutput: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class com.tnsai.evaluation.benchmark.StatisticalAnalyzer.Stats: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class com.tnsai.evaluation.bridge.TraceEvalBridge.FailedEvaluation: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class com.tnsai.evaluation.model.Baseline: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class com.tnsai.evaluation.model.BenchmarkResult: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class com.tnsai.evaluation.model.BenchmarkResult.TestCaseResult: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class com.tnsai.evaluation.model.EvaluationResult: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class com.tnsai.evaluation.model.QualityGateConfig: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class com.tnsai.evaluation.model.TestCase: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class com.tnsai.evaluation.model.TestDataset: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchModel: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchModelScore: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchPair: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchRecommendation.Decision: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchSliceScore: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class com.tnsai.evaluation.reporting.QualityGate.Verdict: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class com.tnsai.evaluation.reporting.TrendAnalyzer.MetricTrend: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class com.tnsai.evaluation.reporting.TrendAnalyzer.TrendReport: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class com.tnsai.evaluation.spi.Evaluator.EvaluationInput: Indicates whether some other object is "equal to" this one.
error(String) - Static method in record class com.tnsai.evaluation.benchmark.BenchmarkRunner.AgentOutput
errorType() - Method in record class com.tnsai.evaluation.autoharness.FailureRecord: Returns the value of the errorType record component.
EvalAssert - Class in com.tnsai.evaluation.junit: Fluent assertion API for evaluation tests.
EvalAssert.EvalAssertion - Class in com.tnsai.evaluation.junit: Assertion chain for evaluation results.
EvalCase - Record Class in com.tnsai.evaluation.autoharness: A generated regression test case derived from a FailureCluster.
EvalCase(String, String, String, String, List<String>, Map<String, String>) - Constructor for record class com.tnsai.evaluation.autoharness.EvalCase: Creates an instance of a EvalCase record class.
evalCaseCount() - Method in record class com.tnsai.evaluation.autoharness.AutoHarnessLoop.LoopResult: Returns the value of the evalCaseCount record component.
EvalCaseGenerator - Interface in com.tnsai.evaluation.autoharness: Converts FailureClusters into regression EvalCases.
EvalExtension - Class in com.tnsai.evaluation.junit: JUnit 5 extension that powers EvalTest.
EvalExtension() - Constructor for class com.tnsai.evaluation.junit.EvalExtension
EvalSpanAnnotator - Class in com.tnsai.evaluation.bridge: Writes evaluation scores back onto AgentTrace spans for observability dashboards.
EvalSpanAnnotator() - Constructor for class com.tnsai.evaluation.bridge.EvalSpanAnnotator
EvalTest - Annotation Interface in com.tnsai.evaluation.junit: Marks a method as an evaluation test.
evaluate(BenchmarkResult) - Method in class com.tnsai.evaluation.reporting.QualityGate: Evaluates a benchmark result against the quality gate.
evaluate(Evaluator.EvaluationInput) - Method in class com.tnsai.evaluation.evaluators.AbstractJudgeEvaluator
evaluate(Evaluator.EvaluationInput) - Method in class com.tnsai.evaluation.evaluators.agent.StepEfficiencyEvaluator
evaluate(Evaluator.EvaluationInput) - Method in class com.tnsai.evaluation.evaluators.CostEfficiencyEvaluator
evaluate(Evaluator.EvaluationInput) - Method in class com.tnsai.evaluation.evaluators.geval.GEvalEvaluator
evaluate(Evaluator.EvaluationInput) - Method in class com.tnsai.evaluation.evaluators.InstructionFollowingEvaluator
evaluate(Evaluator.EvaluationInput) - Method in class com.tnsai.evaluation.evaluators.JsonCorrectnessEvaluator
evaluate(Evaluator.EvaluationInput) - Method in class com.tnsai.evaluation.evaluators.rag.ContextualPrecisionEvaluator
evaluate(Evaluator.EvaluationInput) - Method in class com.tnsai.evaluation.evaluators.ResponseQualityEvaluator
evaluate(Evaluator.EvaluationInput) - Method in class com.tnsai.evaluation.evaluators.safety.PIILeakageEvaluator
evaluate(Evaluator.EvaluationInput) - Method in class com.tnsai.evaluation.evaluators.ToolSelectionEvaluator
evaluate(Evaluator.EvaluationInput) - Method in interface com.tnsai.evaluation.spi.Evaluator: Evaluates agent behavior for a single interaction.
evaluate(List<EvalCase>) - Method in class com.tnsai.evaluation.autoharness.RegressionGate: Runs the eval cases and returns the gate result.
EvaluationInput(String, String, String, List<String>, List<String>, String, long, double, int, int, Map<String, Object>) - Constructor for record class com.tnsai.evaluation.spi.Evaluator.EvaluationInput: Creates an instance of a EvaluationInput record class.
EvaluationReport - Class in com.tnsai.evaluation.reporting: Aggregated evaluation report with drill-down capability.
EvaluationReport(BenchmarkResult, QualityGate.Verdict) - Constructor for class com.tnsai.evaluation.reporting.EvaluationReport
EvaluationResult - Record Class in com.tnsai.evaluation.model: Result of a single evaluation.
EvaluationResult(String, double, String, Map<String, Double>, Instant) - Constructor for record class com.tnsai.evaluation.model.EvaluationResult: Creates an instance of a EvaluationResult record class.
evaluationResults() - Method in record class com.tnsai.evaluation.model.BenchmarkResult.TestCaseResult: Returns the value of the evaluationResults record component.
evaluator(Evaluator) - Method in class com.tnsai.evaluation.benchmark.BenchmarkRunner.Builder
evaluator(Evaluator) - Method in class com.tnsai.evaluation.bridge.TraceEvalBridge.Builder
Evaluator - Interface in com.tnsai.evaluation.spi: SPI interface for all evaluators.
Evaluator.EvaluationInput - Record Class in com.tnsai.evaluation.spi: Input context provided to evaluators.
Evaluator.EvaluationInput.Builder - Class in com.tnsai.evaluation.spi
evaluatorName() - Method in record class com.tnsai.evaluation.bridge.TraceEvalBridge.FailedEvaluation: Returns the value of the evaluatorName record component.
evaluatorName() - Method in record class com.tnsai.evaluation.model.EvaluationResult: Returns the value of the evaluatorName record component.
evaluators(List<Evaluator>) - Method in class com.tnsai.evaluation.benchmark.BenchmarkRunner.Builder
evaluators(List<Evaluator>) - Method in class com.tnsai.evaluation.bridge.TraceEvalBridge.Builder
evaluatorStats() - Method in class com.tnsai.evaluation.reporting.EvaluationReport: Returns per-evaluator statistical summary.
evaluatorThreshold(String, double) - Method in class com.tnsai.evaluation.model.QualityGateConfig.Builder
evaluatorThresholds() - Method in record class com.tnsai.evaluation.model.QualityGateConfig: Returns the value of the evaluatorThresholds record component.
examples() - Method in record class com.tnsai.evaluation.autoharness.FailureCluster: Returns the value of the examples record component.
expectedBehavior() - Method in record class com.tnsai.evaluation.autoharness.EvalCase: Returns the value of the expectedBehavior record component.
expectedOutput() - Method in record class com.tnsai.evaluation.model.TestCase: Returns the value of the expectedOutput record component.
expectedOutput() - Method in record class com.tnsai.evaluation.spi.Evaluator.EvaluationInput: Returns the value of the expectedOutput record component.
expectedOutput(String) - Method in class com.tnsai.evaluation.spi.Evaluator.EvaluationInput.Builder
expectedToolSequence() - Method in record class com.tnsai.evaluation.model.TestCase: Returns the value of the expectedToolSequence record component.
expectedToolSequence() - Method in record class com.tnsai.evaluation.spi.Evaluator.EvaluationInput: Returns the value of the expectedToolSequence record component.
expectedToolSequence(List<String>) - Method in class com.tnsai.evaluation.spi.Evaluator.EvaluationInput.Builder
exportJson(Path) - Method in class com.tnsai.evaluation.reporting.EvaluationReport: Exports the report to a JSON file.

F

fail(String, String) - Static method in record class com.tnsai.evaluation.model.EvaluationResult: Creates a simple fail result.
FailedEvaluation(String, String, String, double, String, Evaluator.EvaluationInput) - Constructor for record class com.tnsai.evaluation.bridge.TraceEvalBridge.FailedEvaluation: Creates an instance of a FailedEvaluation record class.
fails() - Method in class com.tnsai.evaluation.junit.EvalAssert.EvalAssertion: Assert all evaluators scored below the threshold (useful for toxicity/bias checks).
FailureCluster - Record Class in com.tnsai.evaluation.autoharness: A group of FailureRecords sharing a common root cause.
FailureCluster(String, String, int, List<FailureRecord>) - Constructor for record class com.tnsai.evaluation.autoharness.FailureCluster: Creates an instance of a FailureCluster record class.
FailureClusterer - Interface in com.tnsai.evaluation.autoharness: Groups FailureRecords into FailureClusters by root cause.
failureCount() - Method in record class com.tnsai.evaluation.autoharness.AutoHarnessLoop.LoopResult: Returns the value of the failureCount record component.
FailureMiner - Interface in com.tnsai.evaluation.autoharness: Extracts FailureRecords from agent execution traces.
FailureRecord - Record Class in com.tnsai.evaluation.autoharness: Captures a single agent failure from an execution trace.
FailureRecord(String, String, String, String, Instant, Map<String, String>) - Constructor for record class com.tnsai.evaluation.autoharness.FailureRecord: Creates an instance of a FailureRecord record class.
failures() - Method in record class com.tnsai.evaluation.reporting.QualityGate.Verdict: Returns the value of the failures record component.
failureThreshold(double) - Method in class com.tnsai.evaluation.bridge.TraceEvalBridge.Builder
FaithfulnessEvaluator - Class in com.tnsai.evaluation.evaluators.rag: Measures whether the agent's response is grounded in retrieved documents.
FaithfulnessEvaluator(LLMJudge) - Constructor for class com.tnsai.evaluation.evaluators.rag.FaithfulnessEvaluator
filterByTag(String) - Method in record class com.tnsai.evaluation.model.TestDataset: Filters test cases by tag.
firstValue() - Method in record class com.tnsai.evaluation.reporting.TrendAnalyzer.MetricTrend: Returns the value of the firstValue record component.
fromBenchmarkResult(BenchmarkResult) - Static method in record class com.tnsai.evaluation.model.Baseline
fromClasspath(String) - Static method in record class com.tnsai.evaluation.model.TestDataset: Loads a dataset from classpath.
fromFile(Path) - Static method in record class com.tnsai.evaluation.model.TestDataset: Loads a dataset from a JSON file.

G

gatePassed() - Method in record class com.tnsai.evaluation.autoharness.AutoHarnessLoop.LoopResult
gateResult() - Method in record class com.tnsai.evaluation.autoharness.AutoHarnessLoop.LoopResult: Returns the value of the gateResult record component.
GateResult(boolean, double, int, int, BenchmarkResult, String) - Constructor for record class com.tnsai.evaluation.autoharness.RegressionGate.GateResult: Creates an instance of a GateResult record class.
generate(List<FailureCluster>) - Method in class com.tnsai.evaluation.autoharness.DefaultEvalCaseGenerator
generate(List<FailureCluster>) - Method in interface com.tnsai.evaluation.autoharness.EvalCaseGenerator: Generates eval cases from the given failure clusters.
generator(EvalCaseGenerator) - Method in class com.tnsai.evaluation.autoharness.AutoHarnessLoop.Builder
getBenchmarkResult() - Method in class com.tnsai.evaluation.reporting.EvaluationReport
getVerdict() - Method in class com.tnsai.evaluation.reporting.EvaluationReport
GEvalEvaluator - Class in com.tnsai.evaluation.evaluators.geval: G-Eval: LLM-as-judge evaluator using a 2-step chain-of-thought process.
GEvalEvaluator(String, String, LLMJudge) - Constructor for class com.tnsai.evaluation.evaluators.geval.GEvalEvaluator: Creates a G-Eval evaluator for a specific evaluation criteria.

H

HallucinationEvaluator - Class in com.tnsai.evaluation.evaluators.safety: Detects hallucinated content in agent responses by checking factual claims against provided context.
HallucinationEvaluator(LLMJudge) - Constructor for class com.tnsai.evaluation.evaluators.safety.HallucinationEvaluator
hasDegradations() - Method in record class com.tnsai.evaluation.reporting.TrendAnalyzer.TrendReport
hashCode() - Method in record class com.tnsai.evaluation.autoharness.AutoHarnessLoop.LoopResult: Returns a hash code value for this object.
hashCode() - Method in record class com.tnsai.evaluation.autoharness.EvalCase: Returns a hash code value for this object.
hashCode() - Method in record class com.tnsai.evaluation.autoharness.FailureCluster: Returns a hash code value for this object.
hashCode() - Method in record class com.tnsai.evaluation.autoharness.FailureRecord: Returns a hash code value for this object.
hashCode() - Method in record class com.tnsai.evaluation.autoharness.RegressionGate.GateResult: Returns a hash code value for this object.
hashCode() - Method in record class com.tnsai.evaluation.benchmark.BenchmarkRunner.AgentOutput: Returns a hash code value for this object.
hashCode() - Method in record class com.tnsai.evaluation.benchmark.StatisticalAnalyzer.Stats: Returns a hash code value for this object.
hashCode() - Method in record class com.tnsai.evaluation.bridge.TraceEvalBridge.FailedEvaluation: Returns a hash code value for this object.
hashCode() - Method in record class com.tnsai.evaluation.model.Baseline: Returns a hash code value for this object.
hashCode() - Method in record class com.tnsai.evaluation.model.BenchmarkResult: Returns a hash code value for this object.
hashCode() - Method in record class com.tnsai.evaluation.model.BenchmarkResult.TestCaseResult: Returns a hash code value for this object.
hashCode() - Method in record class com.tnsai.evaluation.model.EvaluationResult: Returns a hash code value for this object.
hashCode() - Method in record class com.tnsai.evaluation.model.QualityGateConfig: Returns a hash code value for this object.
hashCode() - Method in record class com.tnsai.evaluation.model.TestCase: Returns a hash code value for this object.
hashCode() - Method in record class com.tnsai.evaluation.model.TestDataset: Returns a hash code value for this object.
hashCode() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchModel: Returns a hash code value for this object.
hashCode() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchModelScore: Returns a hash code value for this object.
hashCode() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchPair: Returns a hash code value for this object.
hashCode() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchRecommendation.Decision: Returns a hash code value for this object.
hashCode() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchSliceScore: Returns a hash code value for this object.
hashCode() - Method in record class com.tnsai.evaluation.reporting.QualityGate.Verdict: Returns a hash code value for this object.
hashCode() - Method in record class com.tnsai.evaluation.reporting.TrendAnalyzer.MetricTrend: Returns a hash code value for this object.
hashCode() - Method in record class com.tnsai.evaluation.reporting.TrendAnalyzer.TrendReport: Returns a hash code value for this object.
hashCode() - Method in record class com.tnsai.evaluation.spi.Evaluator.EvaluationInput: Returns a hash code value for this object.
How they relate - Search tag in package com.tnsai.evaluation.evaluators.agent: Section

I

IBAN - Enum constant in enum class com.tnsai.evaluation.evaluators.safety.PIILeakageEvaluator.Category
id() - Method in record class com.tnsai.evaluation.autoharness.EvalCase: Returns the value of the id record component.
id() - Method in record class com.tnsai.evaluation.model.TestCase: Returns the value of the id record component.
id() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchPair: Returns the value of the id record component.
IMPROVING - Enum constant in enum class com.tnsai.evaluation.reporting.TrendAnalyzer.Direction
improvingMetrics() - Method in record class com.tnsai.evaluation.reporting.TrendAnalyzer.TrendReport
input() - Method in record class com.tnsai.evaluation.autoharness.EvalCase: Returns the value of the input record component.
input() - Method in record class com.tnsai.evaluation.bridge.TraceEvalBridge.FailedEvaluation: Returns the value of the input record component.
input() - Method in record class com.tnsai.evaluation.model.TestCase: Returns the value of the input record component.
inputTokens() - Method in record class com.tnsai.evaluation.benchmark.BenchmarkRunner.AgentOutput: Returns the value of the inputTokens record component.
inputTokens() - Method in record class com.tnsai.evaluation.spi.Evaluator.EvaluationInput: Returns the value of the inputTokens record component.
inputTokens(int) - Method in class com.tnsai.evaluation.spi.Evaluator.EvaluationInput.Builder
installableDefault() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchRecommendation.Decision: Returns the value of the installableDefault record component.
InstructionFollowingEvaluator - Class in com.tnsai.evaluation.evaluators: Evaluates whether the agent followed given instructions.
InstructionFollowingEvaluator() - Constructor for class com.tnsai.evaluation.evaluators.InstructionFollowingEvaluator
instructions() - Method in record class com.tnsai.evaluation.model.TestCase: Returns the value of the instructions record component.
instructions() - Method in record class com.tnsai.evaluation.spi.Evaluator.EvaluationInput: Returns the value of the instructions record component.
instructions(String) - Method in class com.tnsai.evaluation.spi.Evaluator.EvaluationInput.Builder
insufficient() - Static method in record class com.tnsai.evaluation.reporting.TrendAnalyzer.TrendReport
IP_ADDRESS - Enum constant in enum class com.tnsai.evaluation.evaluators.safety.PIILeakageEvaluator.Category

J

JsonCorrectnessEvaluator - Class in com.tnsai.evaluation.evaluators: Evaluates JSON correctness of agent output — parse validity, required fields, and type conformance.
JsonCorrectnessEvaluator() - Constructor for class com.tnsai.evaluation.evaluators.JsonCorrectnessEvaluator
judge(String) - Method in interface com.tnsai.evaluation.evaluators.geval.LLMJudge: Sends a prompt to an LLM and returns the text response.

K

KnowledgeRetentionEvaluator - Class in com.tnsai.evaluation.evaluators.multiturn: Measures whether the agent retains information from earlier conversation turns.
KnowledgeRetentionEvaluator(LLMJudge) - Constructor for class com.tnsai.evaluation.evaluators.multiturn.KnowledgeRetentionEvaluator

L

lastValue() - Method in record class com.tnsai.evaluation.reporting.TrendAnalyzer.MetricTrend: Returns the value of the lastValue record component.
latencyMs() - Method in record class com.tnsai.evaluation.model.BenchmarkResult.TestCaseResult: Returns the value of the latencyMs record component.
latencyMs() - Method in record class com.tnsai.evaluation.spi.Evaluator.EvaluationInput: Returns the value of the latencyMs record component.
latencyMs(long) - Method in class com.tnsai.evaluation.spi.Evaluator.EvaluationInput.Builder
lcsRatio(List<String>, List<String>) - Static method in class com.tnsai.evaluation.util.SequenceUtils: Computes the Longest Common Subsequence ratio between two sequences.
listBaselines(String) - Method in class com.tnsai.evaluation.benchmark.BaselineStore: Lists all baselines for a dataset.
LLMJudge - Interface in com.tnsai.evaluation.evaluators.geval: Functional interface for LLM-based judging.
load(String, String) - Method in class com.tnsai.evaluation.benchmark.BaselineStore: Loads a specific baseline.
loadDefault() - Static method in class com.tnsai.evaluation.rag.embedding.EmbeddingBenchCorpus: Loads the bundled bilingual fixture from the evaluation test/main classpath.
loadFrom(Path) - Static method in record class com.tnsai.evaluation.model.Baseline
loadLatest(String) - Method in class com.tnsai.evaluation.benchmark.BaselineStore: Loads the latest baseline for a dataset.
LoopResult(int, int, int, RegressionGate.GateResult, String) - Constructor for record class com.tnsai.evaluation.autoharness.AutoHarnessLoop.LoopResult: Creates an instance of a LoopResult record class.
loser() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchRecommendation.Decision: Returns the value of the loser record component.
loserStillUsefulWhen() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchRecommendation.Decision: Returns the value of the loserStillUsefulWhen record component.

M

markdown(List<EmbeddingBenchModelScore>, EmbeddingBenchRecommendation.Decision) - Static method in class com.tnsai.evaluation.rag.embedding.EmbeddingBenchReport
max() - Method in record class com.tnsai.evaluation.benchmark.StatisticalAnalyzer.Stats: Returns the value of the max record component.
maxIterations(int) - Method in class com.tnsai.evaluation.autoharness.AutoHarnessLoop.Builder: Maximum number of loop iterations before giving up.
maxRegressionPercent() - Method in record class com.tnsai.evaluation.model.QualityGateConfig: Returns the value of the maxRegressionPercent record component.
maxRegressionPercent(double) - Method in class com.tnsai.evaluation.model.QualityGateConfig.Builder
mean() - Method in record class com.tnsai.evaluation.benchmark.StatisticalAnalyzer.Stats: Returns the value of the mean record component.
median() - Method in record class com.tnsai.evaluation.benchmark.StatisticalAnalyzer.Stats: Returns the value of the median record component.
message() - Method in record class com.tnsai.evaluation.autoharness.FailureRecord: Returns the value of the message record component.
metadata() - Method in record class com.tnsai.evaluation.autoharness.EvalCase: Returns the value of the metadata record component.
metadata() - Method in record class com.tnsai.evaluation.model.Baseline: Returns the value of the metadata record component.
metadata() - Method in record class com.tnsai.evaluation.model.TestCase: Returns the value of the metadata record component.
metadata() - Method in record class com.tnsai.evaluation.spi.Evaluator.EvaluationInput: Returns the value of the metadata record component.
metadata(String, Object) - Method in class com.tnsai.evaluation.spi.Evaluator.EvaluationInput.Builder
metrics() - Method in record class com.tnsai.evaluation.model.EvaluationResult: Returns the value of the metrics record component.
MetricTrend(double, double, double, double, double, TrendAnalyzer.Direction) - Constructor for record class com.tnsai.evaluation.reporting.TrendAnalyzer.MetricTrend: Creates an instance of a MetricTrend record class.
metricTrends() - Method in record class com.tnsai.evaluation.reporting.TrendAnalyzer.TrendReport: Returns the value of the metricTrends record component.
min() - Method in record class com.tnsai.evaluation.benchmark.StatisticalAnalyzer.Stats: Returns the value of the min record component.
mine() - Method in class com.tnsai.evaluation.autoharness.DefaultFailureMiner
mine() - Method in interface com.tnsai.evaluation.autoharness.FailureMiner: Mines failures accumulated since the last call (or since construction).
miner(FailureMiner) - Method in class com.tnsai.evaluation.autoharness.AutoHarnessLoop.Builder
minFailuresForClustering(int) - Method in class com.tnsai.evaluation.autoharness.AutoHarnessLoop.Builder: Minimum number of failures required before clustering is attempted.
minPassRate() - Method in record class com.tnsai.evaluation.model.QualityGateConfig: Returns the value of the minPassRate record component.
minPassRate(double) - Method in class com.tnsai.evaluation.model.QualityGateConfig.Builder
model() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchModelScore: Returns the value of the model record component.
model() - Method in class com.tnsai.evaluation.rag.embedding.OllamaEmbeddingFunction
modelAvailable(String, String) - Static method in class com.tnsai.evaluation.rag.embedding.OllamaEmbeddingFunction: True when /api/tags lists model.
mrr() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchSliceScore: Returns the value of the mrr record component.

N

name() - Method in class com.tnsai.evaluation.evaluators.AbstractJudgeEvaluator
name() - Method in class com.tnsai.evaluation.evaluators.agent.StepEfficiencyEvaluator
name() - Method in class com.tnsai.evaluation.evaluators.CostEfficiencyEvaluator
name() - Method in class com.tnsai.evaluation.evaluators.geval.GEvalEvaluator
name() - Method in class com.tnsai.evaluation.evaluators.InstructionFollowingEvaluator
name() - Method in class com.tnsai.evaluation.evaluators.JsonCorrectnessEvaluator
name() - Method in class com.tnsai.evaluation.evaluators.rag.ContextualPrecisionEvaluator
name() - Method in class com.tnsai.evaluation.evaluators.ResponseQualityEvaluator
name() - Method in class com.tnsai.evaluation.evaluators.safety.PIILeakageEvaluator
name() - Method in class com.tnsai.evaluation.evaluators.ToolSelectionEvaluator
name() - Method in record class com.tnsai.evaluation.model.TestDataset: Returns the value of the name record component.
name() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchModel: Returns the value of the name record component.
name() - Method in interface com.tnsai.evaluation.spi.Evaluator: Unique name for this evaluator.
nativeDimensions() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchModel: Returns the value of the nativeDimensions record component.

O

of(String, double, String, Map<String, Double>) - Static method in record class com.tnsai.evaluation.model.EvaluationResult: Creates a result with current timestamp.
of(String, int, int, EmbeddingFunction, EmbeddingFunction) - Static method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchModel
of(String, int, EmbeddingFunction) - Static method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchModel
of(String, String, String, String) - Static method in record class com.tnsai.evaluation.autoharness.FailureRecord: Convenience factory with explicit error info.
of(String, String, Throwable) - Static method in record class com.tnsai.evaluation.autoharness.FailureRecord: Convenience factory for the common case.
of(String, List<String>, double, int, int) - Static method in record class com.tnsai.evaluation.benchmark.BenchmarkRunner.AgentOutput
ollama(String, int, OllamaEmbeddingFunction) - Static method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchModel: Wraps an Ollama model so queries use the query prefix and passages use the document prefix.
OllamaEmbeddingFunction - Class in com.tnsai.evaluation.rag.embedding: EmbeddingFunction over an Ollama /api/embed endpoint.
OllamaEmbeddingFunction(String, String, String, String) - Constructor for class com.tnsai.evaluation.rag.embedding.OllamaEmbeddingFunction
onFailure(Consumer<TraceEvalBridge.FailedEvaluation>) - Method in class com.tnsai.evaluation.bridge.TraceEvalBridge.Builder
outputTokens() - Method in record class com.tnsai.evaluation.benchmark.BenchmarkRunner.AgentOutput: Returns the value of the outputTokens record component.
outputTokens() - Method in record class com.tnsai.evaluation.spi.Evaluator.EvaluationInput: Returns the value of the outputTokens record component.
outputTokens(int) - Method in class com.tnsai.evaluation.spi.Evaluator.EvaluationInput.Builder
overallScore() - Method in record class com.tnsai.evaluation.model.BenchmarkResult.TestCaseResult

P

p5() - Method in record class com.tnsai.evaluation.benchmark.StatisticalAnalyzer.Stats: Returns the value of the p5 record component.
p95() - Method in record class com.tnsai.evaluation.benchmark.StatisticalAnalyzer.Stats: Returns the value of the p95 record component.
pairs() - Method in class com.tnsai.evaluation.rag.embedding.EmbeddingBenchCorpus
pairs(EmbeddingBenchSlice) - Method in class com.tnsai.evaluation.rag.embedding.EmbeddingBenchCorpus
parallelism(int) - Method in class com.tnsai.evaluation.benchmark.BenchmarkRunner.Builder
pass(String, String) - Static method in record class com.tnsai.evaluation.model.EvaluationResult: Creates a simple pass/fail result.
passed() - Method in record class com.tnsai.evaluation.autoharness.RegressionGate.GateResult: Returns the value of the passed record component.
passed() - Method in record class com.tnsai.evaluation.reporting.QualityGate.Verdict: Returns the value of the passed record component.
passed(double) - Method in record class com.tnsai.evaluation.model.EvaluationResult
passedCases(double) - Method in record class com.tnsai.evaluation.model.BenchmarkResult
passedCount() - Method in record class com.tnsai.evaluation.autoharness.RegressionGate.GateResult: Returns the value of the passedCount record component.
passes() - Method in class com.tnsai.evaluation.junit.EvalAssert.EvalAssertion: Assert all evaluators scored above the threshold.
passRate() - Method in record class com.tnsai.evaluation.autoharness.RegressionGate.GateResult: Returns the value of the passRate record component.
passRate() - Method in record class com.tnsai.evaluation.reporting.QualityGate.Verdict: Returns the value of the passRate record component.
passRate(double) - Method in record class com.tnsai.evaluation.model.BenchmarkResult
passRateThreshold(double) - Method in class com.tnsai.evaluation.autoharness.AutoHarnessLoop.Builder: Minimum fraction of eval cases that must pass [0.0, 1.0].
percentChange() - Method in record class com.tnsai.evaluation.reporting.TrendAnalyzer.MetricTrend: Returns the value of the percentChange record component.
percentile(List<Double>, int) - Static method in class com.tnsai.evaluation.benchmark.StatisticalAnalyzer: Computes a specific percentile from a sorted list.
phase() - Method in record class com.tnsai.evaluation.autoharness.FailureRecord: Returns the value of the phase record component.
PHONE - Enum constant in enum class com.tnsai.evaluation.evaluators.safety.PIILeakageEvaluator.Category
PIILeakageEvaluator - Class in com.tnsai.evaluation.evaluators.safety: Detects PII leakage in agent responses using regex + checksum validation.
PIILeakageEvaluator() - Constructor for class com.tnsai.evaluation.evaluators.safety.PIILeakageEvaluator
PIILeakageEvaluator(Set<PIILeakageEvaluator.Category>) - Constructor for class com.tnsai.evaluation.evaluators.safety.PIILeakageEvaluator
PIILeakageEvaluator.Category - Enum Class in com.tnsai.evaluation.evaluators.safety
PlanAdherenceEvaluator - Class in com.tnsai.evaluation.evaluators.agent: Agent-tier metric: did the agent stick to its declared plan?
PlanAdherenceEvaluator(LLMJudge) - Constructor for class com.tnsai.evaluation.evaluators.agent.PlanAdherenceEvaluator
Plug-in style - Search tag in package com.tnsai.evaluation.evaluators.agent: Section
process(AgentTrace) - Method in class com.tnsai.evaluation.bridge.TraceEvalBridge: Process a completed trace: adapt → evaluate → annotate → report failures.
PRODUCTION_DEFAULT - Static variable in class com.tnsai.evaluation.rag.embedding.EmbeddingBenchRecommendation
productionDefault() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchRecommendation.Decision: Returns the value of the productionDefault record component.
provideTestTemplateInvocationContexts(ExtensionContext) - Method in class com.tnsai.evaluation.junit.EvalExtension

Q

QualityGate - Class in com.tnsai.evaluation.reporting: Pass/fail gate based on configurable thresholds and baseline regression detection.
QualityGate(QualityGateConfig) - Constructor for class com.tnsai.evaluation.reporting.QualityGate
QualityGate(QualityGateConfig, BaselineStore) - Constructor for class com.tnsai.evaluation.reporting.QualityGate
QualityGate.Verdict - Record Class in com.tnsai.evaluation.reporting: Quality gate verdict.
QualityGateConfig - Record Class in com.tnsai.evaluation.model: Configuration for quality gate pass/fail thresholds.
QualityGateConfig(double, Map<String, Double>, double, double) - Constructor for record class com.tnsai.evaluation.model.QualityGateConfig: Creates an instance of a QualityGateConfig record class.
QualityGateConfig.Builder - Class in com.tnsai.evaluation.model
qualityOverride() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchRecommendation.Decision: Returns the value of the qualityOverride record component.
queries() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchSliceScore: Returns the value of the queries record component.
query() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchPair: Returns the value of the query record component.
queryEmbedder() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchModel: Returns the value of the queryEmbedder record component.

R

rationale() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchRecommendation.Decision: Returns the value of the rationale record component.
recallAt5() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchSliceScore: Returns the value of the recallAt5 record component.
record(FailureRecord) - Method in class com.tnsai.evaluation.autoharness.DefaultFailureMiner: Records a failure into the mining buffer.
record(String, String, String, String, Map<String, String>) - Method in class com.tnsai.evaluation.autoharness.DefaultFailureMiner: Records a failure from raw error information with context.
record(String, String, Throwable) - Method in class com.tnsai.evaluation.autoharness.DefaultFailureMiner: Records a failure from raw error information.
RegressionGate - Class in com.tnsai.evaluation.autoharness: Runs an eval suite and gates on a pass rate threshold.
RegressionGate(BenchmarkRunner, double, double) - Constructor for class com.tnsai.evaluation.autoharness.RegressionGate
RegressionGate.GateResult - Record Class in com.tnsai.evaluation.autoharness: Result of a regression gate evaluation.
reportedDimensions() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchModel: Returns the value of the reportedDimensions record component.
resolveParameter(ParameterContext, ExtensionContext) - Method in class com.tnsai.evaluation.junit.EvalExtension
response() - Method in record class com.tnsai.evaluation.benchmark.BenchmarkRunner.AgentOutput: Returns the value of the response record component.
ResponseQualityEvaluator - Class in com.tnsai.evaluation.evaluators: Evaluates response quality across three dimensions: relevance, completeness, and accuracy.
ResponseQualityEvaluator() - Constructor for class com.tnsai.evaluation.evaluators.ResponseQualityEvaluator
results() - Method in class com.tnsai.evaluation.junit.EvalAssert.EvalAssertion: Get the raw results for custom assertions.
run() - Method in class com.tnsai.evaluation.autoharness.AutoHarnessLoop: Executes one full loop iteration: mine, cluster, generate, gate.
run(TestDataset) - Method in class com.tnsai.evaluation.benchmark.BenchmarkRunner: Runs all test cases in the dataset and collects results.
run(List<EmbeddingBenchModel>) - Method in class com.tnsai.evaluation.rag.embedding.EmbeddingBenchRunner
runCount() - Method in record class com.tnsai.evaluation.reporting.TrendAnalyzer.TrendReport: Returns the value of the runCount record component.
runId() - Method in record class com.tnsai.evaluation.model.Baseline: Returns the value of the runId record component.
runId() - Method in record class com.tnsai.evaluation.model.BenchmarkResult: Returns the value of the runId record component.
runner(BenchmarkRunner) - Method in class com.tnsai.evaluation.autoharness.AutoHarnessLoop.Builder
runUntilPass() - Method in class com.tnsai.evaluation.autoharness.AutoHarnessLoop: Runs the loop up to maxIterations times, accumulating results.

S

save(BenchmarkResult) - Method in class com.tnsai.evaluation.benchmark.BaselineStore: Saves a baseline from a benchmark result.
saveTo(Path) - Method in record class com.tnsai.evaluation.model.Baseline
score() - Method in record class com.tnsai.evaluation.bridge.TraceEvalBridge.FailedEvaluation: Returns the value of the score record component.
score() - Method in record class com.tnsai.evaluation.model.EvaluationResult: Returns the value of the score record component.
score(EmbeddingBenchSlice) - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchModelScore
scores() - Method in record class com.tnsai.evaluation.model.Baseline: Returns the value of the scores record component.
scores() - Method in record class com.tnsai.evaluation.reporting.QualityGate.Verdict: Returns the value of the scores record component.
scoresByEvaluator() - Method in record class com.tnsai.evaluation.model.BenchmarkResult.TestCaseResult
scoreThreshold(double) - Method in class com.tnsai.evaluation.autoharness.AutoHarnessLoop.Builder: Minimum score for an individual case to be considered passing [0.0, 1.0].
Scoring - Search tag in class com.tnsai.evaluation.evaluators.JsonCorrectnessEvaluator: Section
SequenceUtils - Class in com.tnsai.evaluation.util: Shared sequence comparison utilities for evaluators.
simple(String) - Static method in record class com.tnsai.evaluation.benchmark.BenchmarkRunner.AgentOutput
SimpleFailureClusterer - Class in com.tnsai.evaluation.autoharness: Groups FailureRecords by errorType + phase.
SimpleFailureClusterer() - Constructor for class com.tnsai.evaluation.autoharness.SimpleFailureClusterer
SimpleFailureClusterer(int) - Constructor for class com.tnsai.evaluation.autoharness.SimpleFailureClusterer
size() - Method in class com.tnsai.evaluation.autoharness.DefaultFailureMiner: Returns the current buffer size without copying.
size() - Method in record class com.tnsai.evaluation.model.TestDataset: Returns number of test cases.
size() - Method in class com.tnsai.evaluation.rag.embedding.EmbeddingBenchCorpus
slice() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchPair: Returns the value of the slice record component.
slice() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchSliceScore: Returns the value of the slice record component.
slices() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchModelScore: Returns the value of the slices record component.
slope() - Method in record class com.tnsai.evaluation.reporting.TrendAnalyzer.MetricTrend: Returns the value of the slope record component.
sourceClusterKey() - Method in record class com.tnsai.evaluation.autoharness.EvalCase: Returns the value of the sourceClusterKey record component.
STABLE - Enum constant in enum class com.tnsai.evaluation.reporting.TrendAnalyzer.Direction
startTime() - Method in record class com.tnsai.evaluation.model.BenchmarkResult: Returns the value of the startTime record component.
StatisticalAnalyzer - Class in com.tnsai.evaluation.benchmark: Statistical analysis utilities for evaluation scores.
StatisticalAnalyzer.Stats - Record Class in com.tnsai.evaluation.benchmark: Statistical summary.
Stats(int, double, double, double, double, double, double, double, double, double) - Constructor for record class com.tnsai.evaluation.benchmark.StatisticalAnalyzer.Stats: Creates an instance of a Stats record class.
stdDev() - Method in record class com.tnsai.evaluation.benchmark.StatisticalAnalyzer.Stats: Returns the value of the stdDev record component.
StepEfficiencyEvaluator - Class in com.tnsai.evaluation.evaluators.agent: Agent-tier metric: did the agent reach the goal without burning extra tool calls?
StepEfficiencyEvaluator() - Constructor for class com.tnsai.evaluation.evaluators.agent.StepEfficiencyEvaluator
summary() - Method in record class com.tnsai.evaluation.autoharness.AutoHarnessLoop.LoopResult: Returns the value of the summary record component.
summary() - Method in record class com.tnsai.evaluation.autoharness.RegressionGate.GateResult: Returns the value of the summary record component.
summary() - Method in record class com.tnsai.evaluation.reporting.QualityGate.Verdict
supportsParameter(ParameterContext, ExtensionContext) - Method in class com.tnsai.evaluation.junit.EvalExtension
supportsTestTemplate(ExtensionContext) - Method in class com.tnsai.evaluation.junit.EvalExtension

T

tag() - Element in annotation interface com.tnsai.evaluation.junit.EvalTest: Filter test cases by tag.
tags() - Method in record class com.tnsai.evaluation.autoharness.EvalCase: Returns the value of the tags record component.
tags() - Method in record class com.tnsai.evaluation.model.TestCase: Returns the value of the tags record component.
TaskCompletionEvaluator - Class in com.tnsai.evaluation.evaluators.agent: Agent-tier metric: did the agent's final state actually solve the task?
TaskCompletionEvaluator(LLMJudge) - Constructor for class com.tnsai.evaluation.evaluators.agent.TaskCompletionEvaluator
TCKN - Enum constant in enum class com.tnsai.evaluation.evaluators.safety.PIILeakageEvaluator.Category
TestCase - Record Class in com.tnsai.evaluation.model: A single test case in a benchmark dataset.
TestCase(String, String, String, List<String>, String, List<String>, Map<String, Object>) - Constructor for record class com.tnsai.evaluation.model.TestCase: Creates an instance of a TestCase record class.
testCaseId() - Method in record class com.tnsai.evaluation.model.BenchmarkResult.TestCaseResult: Returns the value of the testCaseId record component.
TestCaseResult(String, String, List<String>, List<EvaluationResult>, long, double) - Constructor for record class com.tnsai.evaluation.model.BenchmarkResult.TestCaseResult: Creates an instance of a TestCaseResult record class.
TestDataset - Record Class in com.tnsai.evaluation.model: A collection of test cases for benchmarking.
TestDataset(String, String, String, List<TestCase>) - Constructor for record class com.tnsai.evaluation.model.TestDataset: Creates an instance of a TestDataset record class.
The four metrics - Search tag in package com.tnsai.evaluation.evaluators.agent: Section
threshold() - Element in annotation interface com.tnsai.evaluation.junit.EvalTest: Default score threshold for all evaluators (0.0-1.0).
thresholdFor(String) - Method in record class com.tnsai.evaluation.model.QualityGateConfig
timestamp() - Method in record class com.tnsai.evaluation.autoharness.FailureRecord: Returns the value of the timestamp record component.
timestamp() - Method in record class com.tnsai.evaluation.model.Baseline: Returns the value of the timestamp record component.
timestamp() - Method in record class com.tnsai.evaluation.model.EvaluationResult: Returns the value of the timestamp record component.
TokenBagEmbeddingFunction - Class in com.tnsai.evaluation.rag.embedding: Deterministic bag-of-tokens embedding used as an offline bench baseline.
TokenBagEmbeddingFunction(int) - Constructor for class com.tnsai.evaluation.rag.embedding.TokenBagEmbeddingFunction
toMap() - Method in record class com.tnsai.evaluation.benchmark.StatisticalAnalyzer.Stats
toMap() - Method in class com.tnsai.evaluation.reporting.EvaluationReport: Generates a serializable map of the full report.
ToolCorrectnessEvaluator - Class in com.tnsai.evaluation.evaluators.agent: Agent-tier metric: were the tools the agent invoked semantically appropriate for the task?
ToolCorrectnessEvaluator(LLMJudge) - Constructor for class com.tnsai.evaluation.evaluators.agent.ToolCorrectnessEvaluator
ToolSelectionEvaluator - Class in com.tnsai.evaluation.evaluators: Evaluates whether the agent selected the correct tools in the right order.
ToolSelectionEvaluator() - Constructor for class com.tnsai.evaluation.evaluators.ToolSelectionEvaluator
toolSequence() - Method in record class com.tnsai.evaluation.benchmark.BenchmarkRunner.AgentOutput: Returns the value of the toolSequence record component.
TOP_K - Static variable in class com.tnsai.evaluation.rag.embedding.EmbeddingBenchRunner
toString() - Method in record class com.tnsai.evaluation.autoharness.AutoHarnessLoop.LoopResult: Returns a string representation of this record class.
toString() - Method in record class com.tnsai.evaluation.autoharness.EvalCase: Returns a string representation of this record class.
toString() - Method in record class com.tnsai.evaluation.autoharness.FailureCluster: Returns a string representation of this record class.
toString() - Method in record class com.tnsai.evaluation.autoharness.FailureRecord: Returns a string representation of this record class.
toString() - Method in record class com.tnsai.evaluation.autoharness.RegressionGate.GateResult: Returns a string representation of this record class.
toString() - Method in record class com.tnsai.evaluation.benchmark.BenchmarkRunner.AgentOutput: Returns a string representation of this record class.
toString() - Method in record class com.tnsai.evaluation.benchmark.StatisticalAnalyzer.Stats: Returns a string representation of this record class.
toString() - Method in record class com.tnsai.evaluation.bridge.TraceEvalBridge.FailedEvaluation: Returns a string representation of this record class.
toString() - Method in record class com.tnsai.evaluation.model.Baseline: Returns a string representation of this record class.
toString() - Method in record class com.tnsai.evaluation.model.BenchmarkResult.TestCaseResult: Returns a string representation of this record class.
toString() - Method in record class com.tnsai.evaluation.model.BenchmarkResult: Returns a string representation of this record class.
toString() - Method in record class com.tnsai.evaluation.model.EvaluationResult: Returns a string representation of this record class.
toString() - Method in record class com.tnsai.evaluation.model.QualityGateConfig: Returns a string representation of this record class.
toString() - Method in record class com.tnsai.evaluation.model.TestCase: Returns a string representation of this record class.
toString() - Method in record class com.tnsai.evaluation.model.TestDataset: Returns a string representation of this record class.
toString() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchModel: Returns a string representation of this record class.
toString() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchModelScore: Returns a string representation of this record class.
toString() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchPair: Returns a string representation of this record class.
toString() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchRecommendation.Decision: Returns a string representation of this record class.
toString() - Method in record class com.tnsai.evaluation.rag.embedding.EmbeddingBenchSliceScore: Returns a string representation of this record class.
toString() - Method in record class com.tnsai.evaluation.reporting.QualityGate.Verdict: Returns a string representation of this record class.
toString() - Method in record class com.tnsai.evaluation.reporting.TrendAnalyzer.MetricTrend: Returns a string representation of this record class.
toString() - Method in record class com.tnsai.evaluation.reporting.TrendAnalyzer.TrendReport: Returns a string representation of this record class.
toString() - Method in record class com.tnsai.evaluation.spi.Evaluator.EvaluationInput: Returns a string representation of this record class.
totalCases() - Method in record class com.tnsai.evaluation.model.BenchmarkResult
totalCount() - Method in record class com.tnsai.evaluation.autoharness.RegressionGate.GateResult: Returns the value of the totalCount record component.
toTestCase() - Method in record class com.tnsai.evaluation.autoharness.EvalCase: Converts this eval case into a BenchmarkRunner-compatible TestCase.
ToxicityEvaluator - Class in com.tnsai.evaluation.evaluators.safety: Detects toxic, harmful, or offensive content in agent responses.
ToxicityEvaluator(LLMJudge) - Constructor for class com.tnsai.evaluation.evaluators.safety.ToxicityEvaluator
TR - Enum constant in enum class com.tnsai.evaluation.rag.embedding.EmbeddingBenchSlice
TraceEvalBridge - Class in com.tnsai.evaluation.bridge: Bridges AgentTrace → Evaluator → score annotation pipeline.
TraceEvalBridge.Builder - Class in com.tnsai.evaluation.bridge
TraceEvalBridge.FailedEvaluation - Record Class in com.tnsai.evaluation.bridge: Record of a failed evaluation for downstream processing (e.g., AutoHarness).
traceId() - Method in record class com.tnsai.evaluation.bridge.TraceEvalBridge.FailedEvaluation: Returns the value of the traceId record component.
TraceToEvalAdapter - Class in com.tnsai.evaluation.bridge: Converts completed AgentTrace spans into Evaluator.EvaluationInput records.
TraceToEvalAdapter() - Constructor for class com.tnsai.evaluation.bridge.TraceToEvalAdapter
TrendAnalyzer - Class in com.tnsai.evaluation.reporting: Compares evaluation results across multiple runs to detect trends.
TrendAnalyzer.Direction - Enum Class in com.tnsai.evaluation.reporting
TrendAnalyzer.MetricTrend - Record Class in com.tnsai.evaluation.reporting
TrendAnalyzer.TrendReport - Record Class in com.tnsai.evaluation.reporting
TrendReport(int, Map<String, TrendAnalyzer.MetricTrend>) - Constructor for record class com.tnsai.evaluation.reporting.TrendAnalyzer.TrendReport: Creates an instance of a TrendReport record class.
TurnRelevancyEvaluator - Class in com.tnsai.evaluation.evaluators.multiturn: Measures whether the last assistant turn is relevant to the preceding conversation context.
TurnRelevancyEvaluator(LLMJudge) - Constructor for class com.tnsai.evaluation.evaluators.multiturn.TurnRelevancyEvaluator

U

Usage - Search tag in annotation interface com.tnsai.evaluation.junit.EvalTest: Section
Usage - Search tag in class com.tnsai.evaluation.autoharness.AutoHarnessLoop: Section
Usage - Search tag in class com.tnsai.evaluation.benchmark.BenchmarkRunner: Section
Usage - Search tag in class com.tnsai.evaluation.bridge.TraceEvalBridge: Section
Usage - Search tag in class com.tnsai.evaluation.evaluators.geval.GEvalEvaluator: Section
Usage - Search tag in class com.tnsai.evaluation.junit.EvalAssert: Section
userInput() - Method in record class com.tnsai.evaluation.spi.Evaluator.EvaluationInput: Returns the value of the userInput record component.
userInput(String) - Method in class com.tnsai.evaluation.spi.Evaluator.EvaluationInput.Builder

V

valueOf(String) - Static method in enum class com.tnsai.evaluation.evaluators.safety.PIILeakageEvaluator.Category: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class com.tnsai.evaluation.rag.embedding.EmbeddingBenchSlice: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class com.tnsai.evaluation.reporting.TrendAnalyzer.Direction: Returns the enum constant of this class with the specified name.
values() - Static method in enum class com.tnsai.evaluation.evaluators.safety.PIILeakageEvaluator.Category: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class com.tnsai.evaluation.rag.embedding.EmbeddingBenchSlice: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class com.tnsai.evaluation.reporting.TrendAnalyzer.Direction: Returns an array containing the constants of this enum class, in the order they are declared.
Verdict(boolean, List<String>, List<String>, double, Map<String, Double>) - Constructor for record class com.tnsai.evaluation.reporting.QualityGate.Verdict: Creates an instance of a Verdict record class.
version() - Method in record class com.tnsai.evaluation.model.TestDataset: Returns the value of the version record component.

W

warnings() - Method in record class com.tnsai.evaluation.reporting.QualityGate.Verdict: Returns the value of the warnings record component.
withThreshold(double) - Method in class com.tnsai.evaluation.junit.EvalAssert.EvalAssertion: Override the default threshold for this assertion.
worstCases(int) - Method in class com.tnsai.evaluation.reporting.EvaluationReport: Returns the worst-performing test cases.

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