feat: add Runner, RunnerResult, Judge, and Evaluator#180
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Summary
Adds the AIEVALS types —
Runner,RunnerResult,Judge, andEvaluator— and wiresEvaluator.noop()into all config types. Callers can now implement aRunnerto wrap any model provider, construct aJudgeto evaluate AI outputs against a judge prompt with structured{score, reasoning}output, and coordinate multiple judges through anEvaluator.New types
Wraps a model provider SDK.
outputTypecarries a JSON-Schema-like map when structured output is needed. Single-arg overload delegates withoutputType = null.Immutable result of a
Runnerinvocation.parsedis defensively copied and returned as unmodifiable.Evaluates AI output by invoking a runner with a formatted evaluation prompt and parsing the structured response. Sampling gate runs first — below the rate, returns
sampled=falseimmediately. Creates a fresh tracker per evaluation viaconfig.createTracker(). Parsesscore(Number, [0.0, 1.0]) andreasoning(String, optional). Runner exceptions are caught and returned asJudgeResult(success=false)— judge failures are results, not exceptions. Does not calltrackJudgeResult.Coordinates sequential execution of judges. Missing judges skipped with a warning.
Evaluator.noop()returns a singleton whoseevaluateimmediately returns an empty list. For v1.0, all configs receiveEvaluator.noop().Config type changes
AIConfigbase class gains anEvaluatorfield andgetEvaluator()accessor.AICompletionConfigandAIAgentConfigconstructors accept anEvaluator.AIJudgeConfigalways wiresEvaluator.noop()internally — judges do not evaluate themselves.Test plan
./gradlew :lib:sdk:server-ai:testpassesJudgeTest— successful evaluation, score boundary validation (0 and 1), reasoning optional, runner exception handling (caught not rethrown), null/missing parsed output, score out of range, sampling rates (0 always skips, 1 always runs), message formatting, getter accessorsEvaluatorTest— noop returns empty list, noop singleton identity, single/multiple judge execution, missing judge skipped, evaluator does not calltrackJudgeResult, returned future is already completeRunnerResultTest— builder field assignment, immutability, defensive copy of parsed mapNote
Medium Risk
New public API surface and constructor changes on internal config types; runtime behavior stays noop for config retrieval, but Judge/Evaluator will invoke Runners and affect metrics when wired in.
Overview
Introduces the AI evaluation stack for the server AI SDK: a
Runnerabstraction (plus immutableRunnerResult) for provider calls with optional structured output, aJudgethat runs judge prompts via a runner and returnsJudgeResult(sampling, score validation, metrics via tracker), and anEvaluatorthat runs configured judges sequentially and exposesEvaluator.noop()for v1.AIConfignow carries anEvaluatorwithgetEvaluator(); completion and agent configs accept it in their constructors, while judge configs always use noop.LDAIClientImplpassesEvaluator.noop()for all retrieved completion/agent configs until managed wiring lands later.Unit tests cover judge evaluation paths, evaluator coordination, and
RunnerResultimmutability.Reviewed by Cursor Bugbot for commit 59835e3. Bugbot is set up for automated code reviews on this repo. Configure here.