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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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AxAIOpenAIConfig

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

Defined in: https://github.com/ax-llm/ax/blob/9a5a7060a48f9eef46efc680b0cdf6b42bff5df2/src/ax/ai/openai/chat_types.ts#L43

Type declaration

NameType
bestOf?number
dimensions?number
echo?boolean
embedModel?TEmbedModel
logitBias?Map<string, number>
logprobs?number
modelTModel
reasoningEffort?"low" | "medium" | "high"
responseFormat?"json_object"
serviceTier?"auto" | "default" | "flex"
stop?string[]
store?boolean
suffix?string | null
user?string
webSearchOptions?{ searchContextSize?: "low" | "medium" | "high"; userLocation?: | { approximate: { city?: string; country?: string; region?: string; timezone?: string; type: "approximate"; }; } | null; }

Type Parameters

Type Parameter
TModel
TEmbedModel