import { basePush } from "./base.js";
import { Runnable } from "@langchain/core/runnables";
import { BaseLanguageModel } from "@langchain/core/language_models/base";

//#region src/hub/index.d.ts
/**
 * Pull a prompt from the hub.
 *
 * @param ownerRepoCommit The name of the repo containing the prompt, as well as an optional commit hash separated by a slash.
 * @param options.apiKey LangSmith API key to use when pulling the prompt
 * @param options.apiUrl LangSmith API URL to use when pulling the prompt
 * @param options.includeModel Whether to also instantiate and attach a model instance to the prompt,
 *   if the prompt has associated model metadata. If set to true, invoking the resulting pulled prompt will
 *   also invoke the instantiated model. For non-OpenAI models, you must also set "modelClass" to the
 *   correct class of the model.
 * @param options.modelClass If includeModel is true, the class of the model to instantiate. Required
 *   for non-OpenAI models. If you are running in Node or another environment that supports dynamic imports,
 *   you may instead import this function from "langchain/hub/node" and pass "includeModel: true" instead
 *   of specifying this parameter.
 * @param options.secrets A map of secrets to use when loading, e.g.
 *   {'OPENAI_API_KEY': 'sk-...'}`.
 *   If a secret is not found in the map, it will be loaded from the
 *   environment if `secrets_from_env` is `True`. Should only be needed when
 *   `includeModel` is `true`.
 * @param options.secretsFromEnv Whether to load secrets from environment variables.
 *   Use with caution and only with trusted prompts.
 * @returns
 */
declare function pull<T extends Runnable>(ownerRepoCommit: string, options?: {
  apiKey?: string;
  apiUrl?: string;
  includeModel?: boolean;
  modelClass?: new (...args: any[]) => BaseLanguageModel;
  secrets?: Record<string, string>;
  secretsFromEnv?: boolean;
}): Promise<T>;
//#endregion
export { pull, basePush as push };
//# sourceMappingURL=index.d.ts.map