@langchain/community/dist/chat_models/googlevertexai/index.cjs

Third-party integrations for LangChain.js

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.ChatGoogleVertexAI = void 0;
const common_js_1 = require("./common.cjs");
const googlevertexai_connection_js_1 = require("../../utils/googlevertexai-connection.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 in a chat-like fashion.
 *
 * 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 ChatGoogleVertexAI({
 *   temperature: 0.7,
 * });
 * const result = await model.invoke("What is the capital of France?");
 * ```
 */
class ChatGoogleVertexAI extends common_js_1.BaseChatGoogleVertexAI {
    static lc_name() {
        return "ChatVertexAI";
    }
    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.ChatGoogleVertexAI = ChatGoogleVertexAI;