import type { EmbeddingProvider } from '@fabric-harness/sdk';
import type { ModelServingQueryClient } from '@databricks/sdk-modelservingquery/v1';
export type DatabricksModelServingQueryClient = Pick<ModelServingQueryClient, 'query'>;
export interface DatabricksEmbeddingsOptions {
    client: DatabricksModelServingQueryClient;
    /** Serving-endpoint name of the embedding model. */
    endpoint: string;
    name?: string;
}
/**
 * Embeddings via a Mosaic AI serving **embedding** endpoint. Databricks exposes the OpenAI-compatible
 * embeddings surface at `<host>/serving-endpoints/embeddings` with the endpoint name as `model`.
 * Reuses the bundle's generated Model Serving Query client, so it inherits the rotating
 * UC-principal credential.
 *
 * (URL/response schema worth a smoke test against a live embedding endpoint — chat and embeddings
 * share the OpenAI-compatible convention but endpoint families can differ.)
 */
export declare function databricksEmbeddings(options: DatabricksEmbeddingsOptions): EmbeddingProvider;
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