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@genkit-ai/googleai

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Genkit AI framework plugin for Google AI APIs, including Gemini APIs.

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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 src_exports = {}; __export(src_exports, { default: () => src_default, gemini: () => import_gemini.gemini, gemini10Pro: () => import_gemini.gemini10Pro, gemini15Flash: () => import_gemini.gemini15Flash, gemini15Flash8b: () => import_gemini.gemini15Flash8b, gemini15Pro: () => import_gemini.gemini15Pro, gemini20Flash: () => import_gemini.gemini20Flash, gemini20FlashExp: () => import_gemini.gemini20FlashExp, gemini20FlashLite: () => import_gemini.gemini20FlashLite, gemini20ProExp0205: () => import_gemini.gemini20ProExp0205, gemini25ProExp0325: () => import_gemini.gemini25ProExp0325, googleAI: () => googleAI, textEmbedding004: () => import_embedder.textEmbedding004, textEmbeddingGecko001: () => import_embedder.textEmbeddingGecko001 }); module.exports = __toCommonJS(src_exports); var import_plugin = require("genkit/plugin"); var import_embedder = require("./embedder.js"); var import_gemini = require("./gemini.js"); function googleAI(options) { return (0, import_plugin.genkitPlugin)("googleai", async (ai) => { let apiVersions = ["v1"]; if (options?.apiVersion) { if (Array.isArray(options?.apiVersion)) { apiVersions = options?.apiVersion; } else { apiVersions = [options?.apiVersion]; } } if (apiVersions.includes("v1beta")) { Object.keys(import_gemini.SUPPORTED_V15_MODELS).forEach( (name) => (0, import_gemini.defineGoogleAIModel)({ ai, name, apiKey: options?.apiKey, apiVersion: "v1beta", baseUrl: options?.baseUrl, debugTraces: options?.experimental_debugTraces }) ); } if (apiVersions.includes("v1")) { Object.keys(import_gemini.SUPPORTED_V1_MODELS).forEach( (name) => (0, import_gemini.defineGoogleAIModel)({ ai, name, apiKey: options?.apiKey, apiVersion: void 0, baseUrl: options?.baseUrl, debugTraces: options?.experimental_debugTraces }) ); Object.keys(import_gemini.SUPPORTED_V15_MODELS).forEach( (name) => (0, import_gemini.defineGoogleAIModel)({ ai, name, apiKey: options?.apiKey, apiVersion: void 0, baseUrl: options?.baseUrl, debugTraces: options?.experimental_debugTraces }) ); Object.keys(import_embedder.SUPPORTED_MODELS).forEach( (name) => (0, import_embedder.defineGoogleAIEmbedder)(ai, name, { apiKey: options?.apiKey }) ); } if (options?.models) { for (const modelOrRef of options?.models) { const modelName = typeof modelOrRef === "string" ? modelOrRef : ( // strip out the `googleai/` prefix modelOrRef.name.split("/")[1] ); const modelRef = typeof modelOrRef === "string" ? (0, import_gemini.gemini)(modelOrRef) : modelOrRef; (0, import_gemini.defineGoogleAIModel)({ ai, name: modelName, apiKey: options?.apiKey, baseUrl: options?.baseUrl, info: { ...modelRef.info, label: `Google AI - ${modelName}` }, debugTraces: options?.experimental_debugTraces }); } } }); } var src_default = googleAI; // Annotate the CommonJS export names for ESM import in node: 0 && (module.exports = { gemini, gemini10Pro, gemini15Flash, gemini15Flash8b, gemini15Pro, gemini20Flash, gemini20FlashExp, gemini20FlashLite, gemini20ProExp0205, gemini25ProExp0325, googleAI, textEmbedding004, textEmbeddingGecko001 }); //# sourceMappingURL=index.js.map