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

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

declare const withConfigOverride: {
  (config: 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>, config: 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, AnthropicClient>

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, AnthropicClient>

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

type Model = typeof Generated.Model.Encoded

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

export interface Service {
  /**
   * Which custom stop sequence was generated, if any.
   *
   * Will be a non-null string if one of your custom stop sequences was
   * generated.
   */
  readonly stopSequence?: string
}