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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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AxAIOpenAIResponsesConfig

type AxAIOpenAIResponsesConfig<TModel, TEmbedModel> = Omit<AxModelConfig, "topK"> & object;

Defined in: https://github.com/ax-llm/ax/blob/9a5a7060a48f9eef46efc680b0cdf6b42bff5df2/src/ax/ai/openai/responses_types.ts#L731

Type declaration

NameType
bestOf?number
dimensions?number
echo?boolean
embedModel?TEmbedModel
logitBias?Map<string, number>
logprobs?number
modelTModel
parallelToolCalls?boolean
reasoningEffort?"low" | "medium" | "high"
reasoningSummary?"auto" | "concise" | "detailed"
responseFormat?"text" | "json_object" | "json_schema"
seed?number
serviceTier?"auto" | "default" | "flex"
stop?string[]
store?boolean
suffix?string | null
systemPrompt?string
user?string

Type Parameters

Type Parameter
TModel
TEmbedModel