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@langchain/community

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"use strict"; Object.defineProperty(exports, "__esModule", { value: true }); exports.GoogleVertexAI = void 0; const googlevertexai_connection_js_1 = require("../../utils/googlevertexai-connection.cjs"); const common_js_1 = require("./common.cjs"); const googlevertexai_gauth_js_1 = require("../../utils/googlevertexai-gauth.cjs"); /** * Enables calls to the Google Cloud's Vertex AI API to access * Large Language Models. * * To use, you will need to have one of the following authentication * methods in place: * - You are logged into an account permitted to the Google Cloud project * using Vertex AI. * - You are running this on a machine using a service account permitted to * the Google Cloud project using Vertex AI. * - The `GOOGLE_APPLICATION_CREDENTIALS` environment variable is set to the * path of a credentials file for a service account permitted to the * Google Cloud project using Vertex AI. * @example * ```typescript * const model = new GoogleVertexAI({ * temperature: 0.7, * }); * const stream = await model.stream( * "What would be a good company name for a company that makes colorful socks?", * ); * for await (const chunk of stream) { * console.log(chunk); * } * ``` */ class GoogleVertexAI extends common_js_1.BaseGoogleVertexAI { static lc_name() { return "VertexAI"; } constructor(fields) { super(fields); const client = new googlevertexai_gauth_js_1.GAuthClient({ scopes: "https://www.googleapis.com/auth/cloud-platform", ...fields?.authOptions, }); this.connection = new googlevertexai_connection_js_1.GoogleVertexAILLMConnection({ ...fields, ...this }, this.caller, client, false); this.streamedConnection = new googlevertexai_connection_js_1.GoogleVertexAILLMConnection({ ...fields, ...this }, this.caller, client, true); } } exports.GoogleVertexAI = GoogleVertexAI;