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Build LLM-powered agents
with production-ready TypeScript

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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AxMiPROOptimizerOptions

Defined in: https://github.com/ax-llm/ax/blob/9a5a7060a48f9eef46efc680b0cdf6b42bff5df2/src/ax/dsp/optimizer.ts#L1076

Properties

PropertyType
acquisitionFunction?| "expected_improvement" | "upper_confidence_bound" | "probability_improvement"
bayesianOptimization?boolean
dataAwareProposer?boolean
earlyStoppingTrials?number
explorationWeight?number
fewshotAwareProposer?boolean
initTemperature?number
maxBootstrappedDemos?number
maxLabeledDemos?number
minibatch?boolean
minibatchFullEvalSteps?number
minibatchSize?number
minImprovementThreshold?number
numCandidates?number
numTrials?number
programAwareProposer?boolean
sampleCount?number
tipAwareProposer?boolean
verbose?boolean
viewDataBatchSize?number