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Build LLM-powered agents
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DSPy for TypeScript. Working with LLMs is complex—they don't always do what you want. DSPy makes it easier to build amazing things with LLMs. Just define your inputs and outputs (signature) and an efficient prompt is auto-generated and used. Connect together various signatures to build complex systems and workflows using LLMs.

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AxParetoResult

Defined in: https://github.com/ax-llm/ax/blob/9a5a7060a48f9eef46efc680b0cdf6b42bff5df2/src/ax/dsp/optimizer.ts#L932

Extends

Type Parameters

Type ParameterDefault type
OUTany

Properties

PropertyTypeInherited from
bestScorenumberAxOptimizerResult.bestScore
configurationHistory?Record<string, unknown>[]AxOptimizerResult.configurationHistory
convergenceMetrics?Record<string, number>-
demos?AxProgramDemos<any, OUT>[]AxOptimizerResult.demos
finalConfiguration?Record<string, unknown>AxOptimizerResult.finalConfiguration
hypervolume?number-
paretoFrontreadonly object[]-
paretoFrontSizenumber-
scoreHistory?number[]AxOptimizerResult.scoreHistory
statsAxOptimizationStatsAxOptimizerResult.stats