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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 modelgarden_exports = {}; __export(modelgarden_exports, { claude35Sonnet: () => import_anthropic2.claude35Sonnet, claude35SonnetV2: () => import_anthropic2.claude35SonnetV2, claude3Haiku: () => import_anthropic2.claude3Haiku, claude3Opus: () => import_anthropic2.claude3Opus, claude3Sonnet: () => import_anthropic2.claude3Sonnet, codestral: () => import_mistral2.codestral, llama3: () => import_model_garden2.llama3, llama31: () => import_model_garden2.llama31, llama32: () => import_model_garden2.llama32, mistralLarge: () => import_mistral2.mistralLarge, mistralNemo: () => import_mistral2.mistralNemo, vertexAIModelGarden: () => vertexAIModelGarden }); module.exports = __toCommonJS(modelgarden_exports); var import_plugin = require("genkit/plugin"); var import_common = require("../common/index.js"); var import_anthropic = require("./anthropic.js"); var import_mistral = require("./mistral.js"); var import_model_garden = require("./model_garden.js"); var import_anthropic2 = require("./anthropic.js"); var import_mistral2 = require("./mistral.js"); var import_model_garden2 = require("./model_garden.js"); function vertexAIModelGarden(options) { return (0, import_plugin.genkitPlugin)("vertexAIModelGarden", async (ai) => { const { projectId, location, authClient } = await (0, import_common.getDerivedParams)(options); options.models.forEach((m) => { const anthropicEntry = Object.entries(import_anthropic.SUPPORTED_ANTHROPIC_MODELS).find( ([_, value]) => value.name === m.name ); if (anthropicEntry) { (0, import_anthropic.anthropicModel)(ai, anthropicEntry[0], projectId, location); return; } const mistralEntry = Object.entries(import_mistral.SUPPORTED_MISTRAL_MODELS).find( ([_, value]) => value.name === m.name ); if (mistralEntry) { (0, import_mistral.mistralModel)(ai, mistralEntry[0], projectId, location); return; } const openaiModel = Object.entries(import_model_garden.SUPPORTED_OPENAI_FORMAT_MODELS).find( ([_, value]) => value.name === m.name ); if (openaiModel) { (0, import_model_garden.modelGardenOpenaiCompatibleModel)( ai, openaiModel[0], projectId, location, authClient, options.openAiBaseUrlTemplate ); return; } throw new Error(`Unsupported model garden model: ${m.name}`); }); }); } // Annotate the CommonJS export names for ESM import in node: 0 && (module.exports = { claude35Sonnet, claude35SonnetV2, claude3Haiku, claude3Opus, claude3Sonnet, codestral, llama3, llama31, llama32, mistralLarge, mistralNemo, vertexAIModelGarden }); //# sourceMappingURL=index.js.map