Uses of Interface
dev.dokimos.core.Evaluator

Packages that use Evaluator

Package	Description
dev.dokimos.core
dev.dokimos.core.conversation
dev.dokimos.core.evaluators
dev.dokimos.core.evaluators.agents

Uses of Evaluator in dev.dokimos.core

Classes in dev.dokimos.core that implement Evaluator

Modifier and Type	Class	Description
class	BaseEvaluator	Base class for implementing concrete evaluators.

Methods in dev.dokimos.core with parameters of type Evaluator

Modifier and Type	Method	Description
static void	Assertions.assertEval(EvalTestCase testCase, Evaluator... evaluators)	Asserts that the test case passes all evaluators.
Experiment.Builder	Experiment.Builder.evaluator(Evaluator evaluator)	Adds a single evaluator to the experiment.

Method parameters in dev.dokimos.core with type arguments of type Evaluator

Modifier and Type	Method	Description
static void	Assertions.assertEval(EvalTestCase testCase, List<Evaluator> evaluators)	Asserts that the test case passes all evaluators.
Experiment.Builder	Experiment.Builder.evaluators(List<Evaluator> evaluators)	Adds multiple evaluators to the experiment.

Uses of Evaluator in dev.dokimos.core.conversation

Classes in dev.dokimos.core.conversation that implement Evaluator

Modifier and Type	Class	Description
class	TrajectoryEvaluator	Evaluates complete conversation trajectories using LLM-as-judge patterns.

Uses of Evaluator in dev.dokimos.core.evaluators

Classes in dev.dokimos.core.evaluators that implement Evaluator

Modifier and Type	Class	Description
class	ContextualRelevanceEvaluator	Evaluator that measures how relevant retrieved context chunks are to a user's input query.
class	ExactMatchEvaluator	Evaluator that checks for exact string match between actual and expected outputs.
class	FaithfulnessEvaluator	Evaluator that uses an LLM to check how much of the actual output is backed by the given context.
class	HallucinationEvaluator	Evaluator that uses an LLM to detect hallucinations in the actual output.
class	LLMJudgeEvaluator	Evaluator that uses an LLM to evaluate outputs based on the specified criteria.
class	PrecisionEvaluator	Evaluator that measures retrieval precision.
class	RecallEvaluator	Evaluator that measures retrieval recall.
class	RegexEvaluator	Evaluator that checks if the actual output matches a regular expression pattern.
class	StructuralMatchEvaluator	Compares the actual output against the expected output as JSON structures rather than as opaque strings.
final class	TypedEvaluator	Evaluates selected fields of a structured task output with an existing evaluator.

Methods in dev.dokimos.core.evaluators with parameters of type Evaluator

Modifier and Type	Method	Description
TypedEvaluator	TypedEvaluator.Builder.evaluateWith(Evaluator delegate)	Finishes the builder and returns the wrapping evaluator.

Uses of Evaluator in dev.dokimos.core.evaluators.agents

Classes in dev.dokimos.core.evaluators.agents that implement Evaluator

Modifier and Type	Class	Description
class	PlanAdherenceEvaluator	Evaluates whether an agent's executed tool calls followed its stated plan using a rule-based check and an optional LLM check.
class	PlanQualityEvaluator	Evaluates whether an agent's plan is coherent and goal-directed using a rule-based check and an optional LLM check.
class	TaskCompletionEvaluator	Evaluates whether an AI agent completed the user's requested tasks.
class	ToolArgumentHallucinationEvaluator	Uses a judge LLM to assess whether tool call argument values are factually grounded in the user's input and preceding tool call results.
class	ToolCallValidityEvaluator	Validates that tool calls are syntactically correct per their JSON schema definitions.
class	ToolCorrectnessEvaluator	Checks whether the agent used the expected set of tools.
class	ToolDescriptionReliabilityEvaluator	Evaluates tool description quality using a mix of rule-based checks and optional LLM checks.
class	ToolEfficiencyEvaluator	Measures how efficiently an agent used its tools by detecting redundant calls.
class	ToolErrorEvaluator	Detects tool execution failures by inspecting ToolCall.result().
class	ToolNameReliabilityEvaluator	Evaluates tool naming quality using a mix of rule-based checks and optional LLM checks.
class	ToolTrajectoryEvaluator	Evaluates an agent's tool-call trajectory against an expected trajectory using a selectable match mode.