Node.js NodeJS中的Vertex AI GoogleAuthError

我有一个Web服务器，其中一个端点部署在Heroku上.服务器目的是与Vertex AI gemini-pro LLM进行交互.在本地，一切都很完美，因为我使用的是gCloud CLI身份验证，但我想实现一个服务帐户身份验证.

以下是Model init的代码示例:

import { VertexAI } from "@google-cloud/vertexai";
import { GoogleAuth } from "google-auth-library";
import dotenv from "dotenv";

dotenv.config();

const gAuth = new GoogleAuth({
  credentials: {
    client_email: process.env.CLIENT_EMAIL,
    private_key: process.env.PRIVATE_KEY,
  },
});

const authClient = await gAuth.getClient();

const vertex_ai = new VertexAI({
  project: process.env.PROJECT_ID,
  location: process.env.LOCATION,
  googleAuth: authClient,
});

const model = "gemini-pro";
const generativeModel = vertex_ai.preview.getGenerativeModel({
  model: model,
  generation_config: {
    max_output_tokens: 8192,
    temperature: 0.8,
    top_p: 0.8,
    top_k: 5,
  },
});

export default generativeModel;

我判断了服务访问角色-它是"编辑器"，所以问题出在模型初始化中. 每次try 到达端点时，我都会得到错误:

2024-02-05T21:13:23.977555+00:00 app[web.1]: GoogleAuthError: 
2024-02-05T21:13:23.977557+00:00 app[web.1]: Unable to authenticate your request        
2024-02-05T21:13:23.977576+00:00 app[web.1]: Depending on your run time environment, you can get authentication by        
2024-02-05T21:13:23.977576+00:00 app[web.1]: - if in local instance or cloud shell: `!gcloud auth login`        
2024-02-05T21:13:23.977576+00:00 app[web.1]: - if in Colab:        
2024-02-05T21:13:23.977577+00:00 app[web.1]:     -`from google.colab import auth`        
2024-02-05T21:13:23.977577+00:00 app[web.1]:     -`auth.authenticate_user()`        
2024-02-05T21:13:23.977578+00:00 app[web.1]: - if in service account or other: please follow guidance in https://cloud.google.com/docs/authentication
2024-02-05T21:13:23.977579+00:00 app[web.1]: Error: Could not load the default credentials. Browse to https://cloud.google.com/docs/authentication/getting-started for more information.

更新:我在迁移到使用API Key时找到了解决方案:

import { GoogleGenerativeAI } from "@google/generative-ai";
import dotenv from "dotenv";

dotenv.config();

const genAI = new GoogleGenerativeAI(process.env.API_KEY);

const model = "gemini-pro";
const generativeModel = genAI.getGenerativeModel({
  model: model,
  generation_config: {
    max_output_tokens: 8192,
    temperature: 0.8,
    top_p: 0.8,
    top_k: 5,
  },
});

export default generativeModel;