Interface: EmbeddingOptions<TProviderOptions>#

Defined in: packages/ai/src/types.ts:2698

Options for embedding generation, as received by adapters. The embed() entry point normalizes a single input item to an array before calling the adapter, so input is always an array here.

Type Parameters#

TProviderOptions#

TProviderOptions extends object = object

Properties#

dimensions?#

optional dimensions?: number;

Defined in: packages/ai/src/types.ts:2707

Requested output dimensionality. Adapters for models with fixed dimensions throw a clear runtime error when this is set.

input#

input: EmbeddingInputItem[];

Defined in: packages/ai/src/types.ts:2702

The items to embed — one vector per item

logger#

logger: InternalLogger;

Defined in: packages/ai/src/types.ts:2715

Internal logger threaded from the embed() entry point. Adapters must call logger.request() before the SDK call and logger.errors() in catch blocks.

model#

model: string;

Defined in: packages/ai/src/types.ts:2700

The model to use for embedding generation

modelOptions?#

optional modelOptions?: TProviderOptions;

Defined in: packages/ai/src/types.ts:2709

Model-specific options for embedding generation