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@genkit-ai/vertexai

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Genkit AI framework plugin for Google Cloud Vertex AI APIs including Gemini APIs, Imagen, and more.

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"use strict"; var __defProp = Object.defineProperty; var __getOwnPropDesc = Object.getOwnPropertyDescriptor; var __getOwnPropNames = Object.getOwnPropertyNames; var __hasOwnProp = Object.prototype.hasOwnProperty; var __export = (target, all) => { for (var name in all) __defProp(target, name, { get: all[name], enumerable: true }); }; var __copyProps = (to, from, except, desc) => { if (from && typeof from === "object" || typeof from === "function") { for (let key of __getOwnPropNames(from)) if (!__hasOwnProp.call(to, key) && key !== except) __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable }); } return to; }; var __toCommonJS = (mod) => __copyProps(__defProp({}, "__esModule", { value: true }), mod); var utils_exports = {}; __export(utils_exports, { checkModelName: () => checkModelName, modelName: () => modelName }); module.exports = __toCommonJS(utils_exports); var import_genkit = require("genkit"); function modelName(name) { if (!name) return name; const prefixesToRemove = /background-model\/|model\/|models\/|embedders\/|vertex-model-garden\/|vertexai\//g; return name.replace(prefixesToRemove, ""); } function checkModelName(name) { const version = modelName(name); if (!version) { throw new import_genkit.GenkitError({ status: "INVALID_ARGUMENT", message: "Model name is required." }); } return version; } // Annotate the CommonJS export names for ESM import in node: 0 && (module.exports = { checkModelName, modelName }); //# sourceMappingURL=utils.js.map