OpenAiEmbeddingModel

declare const withConfigOverride: {
  (config: Service): <A, E, R>(self: Effect<A, E, R>) => Effect<A, E, R>;
  <A, E, R>(self: Effect<A, E, R>, config: Service): Effect<A, E, R>;
}

declare const makeDataLoader: (...args: [options: {
  readonly config: DataLoader;
  readonly model: "text-embedding-ada-002" | string & {};
}]) => Effect<any, unknown, unknown>

declare class Config extends any {
  constructor();
  static readonly getOrUndefined: Effect<Service | undefined>;
}

declare function layerBatched(options: {
  readonly config?: Batched;
  readonly model: "text-embedding-ada-002" | string & {};
}): Layer<EmbeddingModel, never, OpenAiClient>

declare function layerDataLoader(options: {
  readonly config: DataLoader;
  readonly model: "text-embedding-ada-002" | string & {};
}): Layer<EmbeddingModel, never, OpenAiClient>

declare function model(model: "text-embedding-ada-002" | string & {}, __namedParameters: {
  [key: string]: any;
  [key: number]: any;
  readonly cache?: {
    readonly capacity: number;
    readonly timeToLive: DurationInput;
  };
  readonly maxBatchSize?: number;
  readonly mode: "batched";
} | {
  [key: string]: any;
  [key: number]: any;
  readonly maxBatchSize?: number;
  readonly mode: "data-loader";
  readonly window: DurationInput;
}): Model<"openai", EmbeddingModel, OpenAiClient>

type Model = typeof Generated.CreateEmbeddingRequestModelEnum.Encoded