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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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AxTunable

Defined in: https://github.com/ax-llm/ax/blob/71ea5064d766efdc031d375243a8e525911833e7/src/ax/dsp/types.ts#L294

Extended by

Type Parameters

Type Parameter
IN
OUT

Methods

applyOptimization()

applyOptimization(optimizedProgram: AxOptimizedProgram<OUT>): void;

Defined in: https://github.com/ax-llm/ax/blob/71ea5064d766efdc031d375243a8e525911833e7/src/ax/dsp/types.ts#L302

Parameters

ParameterType
optimizedProgramAxOptimizedProgram<OUT>

Returns

void

getId()

getId(): string;

Defined in: https://github.com/ax-llm/ax/blob/71ea5064d766efdc031d375243a8e525911833e7/src/ax/dsp/types.ts#L295

Returns

string

getTraces()

getTraces(): AxProgramTrace<IN, OUT>[];

Defined in: https://github.com/ax-llm/ax/blob/71ea5064d766efdc031d375243a8e525911833e7/src/ax/dsp/types.ts#L297

Returns

AxProgramTrace<IN, OUT>[]

setDemos()

setDemos(demos: readonly AxProgramDemos<IN, OUT, string>[], options?: object): void;

Defined in: https://github.com/ax-llm/ax/blob/71ea5064d766efdc031d375243a8e525911833e7/src/ax/dsp/types.ts#L298

Parameters

ParameterType
demosreadonly AxProgramDemos<IN, OUT, string>[]
options?{ modelConfig?: Record<string, unknown>; }
options.modelConfig?Record<string, unknown>

Returns

void

setId()

setId(id: string): void;

Defined in: https://github.com/ax-llm/ax/blob/71ea5064d766efdc031d375243a8e525911833e7/src/ax/dsp/types.ts#L296

Parameters

ParameterType
idstring

Returns

void