export HELICONE_API_KEY=<your API key>
export GCLOUD_API_KEY=<your Google Cloud API key>

npm install node-fetch

const fetch = require('node-fetch');

const url = 'https://gateway.helicone.ai/v1/projects/your-project-id/locations/your-location/publishers/google/models/model-name:streamGenerateContent';

const headers = {
  'Authorization': `Bearer ${process.env.GCLOUD_API_KEY}`,
  'Content-Type': 'application/json',
  'Helicone-Auth': `Bearer ${process.env.HELICONE_API_KEY}`,
  'Helicone-Target-URL': `https://${LOCATION}-aiplatform.googleapis.com`,
  'User-Agent': 'node-fetch'
};

const body = JSON.stringify({
  contents: {
    role: 'user',
    parts: { text: 'Which theaters in Mountain View show Barbie movie?' }
  },
  generation_config: { maxOutputTokens: 1 }
});

fetch(url, { method: 'POST', headers: headers, body: body })
  .then(response => response.json())
  .then(data => console.log(data))
  .catch(error => console.error('Error:', error));

export HELICONE_API_KEY=<your API key>
export GCLOUD_API_KEY=<your Google Cloud API key>

npm install @google-cloud/vertexai

import { VertexAI } from "@google-cloud/vertexai";

const vertex_ai = new VertexAI({
  project: "your-project-id",
  location: "your-location",
  apiEndpoint: "gateway.helicone.ai",
});

const customHeaders = new Headers({
  "Helicone-Auth": `Bearer ${process.env.HELICONE_API_KEY}`,
  "Helicone-Target-URL": `https://${LOCATION}-aiplatform.googleapis.com`,
});

const requestOptions = {
  customHeaders: customHeaders,
} as RequestOptions;

const generativeModel = vertex_ai.preview.getGenerativeModel(
  {
    model: "model-name"
  },
  requestOptions // Pass request options
);

const result = await generativeModel.generateContent({
  contents: [{ role: "user", parts: [{ text: "How are you doing today?" }] }],
});
console.log(result);