declare const model: (
  model: (string & {}) | Model,
  config?: Omit<Config.Service, "model">
) => AiModel.AiModel<AiLanguageModel.AiLanguageModel, OpenAiClient>

declare const modelWithTokenizer: (
  model: (string & {}) | Model,
  config?: Omit<Config.Service, "model">
) => AiModel.AiModel<AiLanguageModel.AiLanguageModel | Tokenizer.Tokenizer, OpenAiClient>

declare const withConfigOverride: {
  (overrides: Config.Service): <A, E, R>(self: Effect.Effect<A, E, R>) => Effect.Effect<A, E, R>
  <A, E, R>(self: Effect.Effect<A, E, R>, overrides: Config.Service): Effect.Effect<A, E, R>
}

declare const make: (options: {
  readonly model: (string & {}) | Model
  readonly config?: Omit<Config.Service, "model">
}) => Effect.Effect<AiLanguageModel.AiLanguageModel.Service<never>, never, OpenAiClient>

declare class Config

declare class ProviderMetadata

declare const layer: (options: {
  readonly model: (string & {}) | Model
  readonly config?: Omit<Config.Service, "model">
}) => Layer.Layer<AiLanguageModel.AiLanguageModel, never, OpenAiClient>

declare const layerWithTokenizer: (options: {
  readonly model: (string & {}) | Model
  readonly config?: Omit<Config.Service, "model">
}) => Layer.Layer<AiLanguageModel.AiLanguageModel | Tokenizer.Tokenizer, never, OpenAiClient>

type Model = typeof Generated.ModelIdsSharedEnum.Encoded

export interface Service
  extends Simplify<
    Partial<
      Omit<
        typeof Generated.CreateChatCompletionRequest.Encoded,
        "messages" | "tools" | "tool_choice" | "stream" | "stream_options" | "functions"
      >
    >
  > {}

export interface Service {
  /**
   * Specifies the latency tier that was used for processing the request.
   */
  readonly serviceTier?: string
  /**
   * This fingerprint represents the backend configuration that the model
   * executes with.
   *
   * Can be used in conjunction with the seed request parameter to understand
   * when backend changes have been made that might impact determinism.
   */
  readonly systemFingerprint: string
  /**
   * When using predicted outputs, the number of tokens in the prediction
   * that appeared in the completion.
   */
  readonly acceptedPredictionTokens: number
  /**
   * When using predicted outputs, the number of tokens in the prediction
   * that did not appear in the completion. However, like reasoning tokens,
   * these tokens are still counted in the total completion tokens for
   * purposes of billing, output, and context window limits.
   */
  readonly rejectedPredictionTokens: number
  /**
   * Audio tokens present in the prompt.
   */
  readonly inputAudioTokens: number
  /**
   * Audio tokens generated by the model.
   */
  readonly outputAudioTokens: number
}