vertex ai api - Brave Search

developers.google.com › google workspace › apps script › vertex ai service

Vertex AI Service | Apps Script | Google for Developers

May 27, 2026 - The Vertex AI service lets you use the Agent Platform API (formerly the Vertex AI API) in Google Apps Script.

docs.cloud.google.com › vertex ai › api usage overview

API usage overview | Vertex AI | Google Cloud Documentation

This guide provides an overview of using the Vertex AI API and its reference documentation.

Discussions

Vertex AI API vs Gemini API?

Vertex AI API is recommended for production apps and more complex use cases, will likely have long-standing support. Gemini is fine for prototyping and developing. More on reddit.com

r/googlecloud

27

19

June 29, 2024

How do you configure and use Vertex AI API?

no Google Cloud account support yet. Only Google AI. More on reddit.com

r/google_antigravity

8

2

January 7, 2026

Do people actually use Vertex AI?

They’re good. You can do a lot in Vertex AI. I like the GCP ecosystem, personally, but I’m biased as I’ve spent more time there than on other clouds. Obviously people use it. What makes you phrase the question like that? More on reddit.com

r/googlecloud

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14

September 21, 2023

Want to use vertex AI, but afraid of billing

It's a risk yes. But you get $300 free credits for a new account and you can set billing alerts to send you an email if your usage exceeds whatever threshold you set. More on reddit.com

r/googlecloud

26

12

August 18, 2024

Videos

How To Enable Vertex AI API in Google Cloud (Tutorial) - YouTube

February 19, 2025

Gemini API versus Vertex AI API - What's the Difference? - YouTube

September 6, 2025

Run Google's Models on Vertex AI with Python + EU Data Residency ...

November 17, 2025

How to Enable Vertex AI API & Use Your Google Trial Credits - YouTube

How to start using Gemini API on Vertex AI🔥: Python & Node.js ...

December 20, 2023

5 分で解説！Vertex AI Search for Commerce 検索・ブラウズ ...

February 12, 2025

docs.cloud.google.com › gemini enterprise agent platform › agent platform api

Agent Platform API | Gemini Enterprise Agent Platform | Google Cloud Documentation

March 20, 2026 - The Agent Platform API lets you manage Agent Platform resources in Google Cloud · To call this service, we recommend that you use the Google-provided client libraries. If your application needs to use your own libraries to call this service, use the following information when you make the ...

cloud.google.com › products › gemini-enterprise-agent-platform

Gemini Enterprise Agent Platform (formerly Vertex AI) | Google Cloud

May 26, 2026 - Simplify and accelerate secure delivery of open banking compliant APIs. ... Generate instant insights from data at any scale with a serverless, fully managed analytics platform that significantly simplifies analytics.

github.com › googleapis › python-aiplatform

GitHub - googleapis/python-aiplatform: A Python SDK for Vertex AI, a fully managed, end-to-end platform for data science and machine learning. · GitHub

May 22, 2026 - All publicly available SDK features can be found in the google/cloud/aiplatform directory. Under the hood, Vertex SDK builds on top of GAPIC, which stands for Google API CodeGen.

Starred by 900 users

Forked by 455 users

Languages Python

ai-sdk.dev › providers › ai-sdk-providers › google-vertex

AI SDK Providers: Google Vertex AI

If you need a customized setup, you can import createGoogleVertex from @ai-sdk/google-vertex/edge and create a provider instance with your settings: ... For Edge runtime authentication, you'll need to set these environment variables from your Google Default Application Credentials JSON file: ... These values can be obtained from a service account JSON file from the Google Cloud Console. You can use the following optional settings to customize the provider instance: ... The Google Cloud project ID that you want to use for the API calls.

docs.cloud.google.com › vertex-ai › docs

Gemini Enterprise Agent Platform | Google Cloud Documentation

April 22, 2026 - Vector Search is an AI-native search engine that combines storage and retrieval into one scalable, auto-tuned platform, simplifying how you store, search, and manage your data for AI applications. ... A config-driven, REST-first API for building autonomous agents inside a fully managed sandbox...

developers.cloudflare.com › directory › ai gateway › using ai gateway › provider native › google vertex ai

Google Vertex AI · Cloudflare AI Gateway docs

April 20, 2026 - Go to Enable Vertex AI API ↗ and activate the API for your project.

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docs.cloud.google.com › vertex ai › generative ai on vertex ai › vertex ai genai api

Vertex AI GenAI API | Generative AI on Vertex AI | Google Cloud Documentation

It is used to build client libraries, IDE plugins, and other tools that interact with Google APIs. One service may provide multiple discovery documents. This service provides the following discovery documents: https://aiplatform.googleapis.com/$discovery/rest?version=v1

docs.cloud.google.com › agent search › vertex ai apis for building search and rag experiences

Vertex AI APIs for building search and RAG experiences | Agent Search | Google Cloud Documentation

Build your own retrieval: If you want to build your semantic search, you can rely on Vertex AI APIs for components of your custom RAG system. This suite of APIs provide high-quality implementations for document parsing, embedding generation, vector search, and semantic ranking.

reddit.com › r/googlecloud › vertex ai api vs gemini api?

r/googlecloud on Reddit: Vertex AI API vs Gemini API?

June 29, 2024 -

I am little confused on the difference between these two services. I want to use google cloud gemini 1.5 models for simple text generation via API. I am confused if i should use gemini api or vertex ai api. Vertex seems to offer more flexibility later on if changes required. The price to use them seems same, pay as you go, or perhaps I am missing anything important?

Vertex AI API is recommended for production apps and more complex use cases, will likely have long-standing support. Gemini is fine for prototyping and developing.

You can do more on vertex like integrating your own extensions in gcp UI (Gemini API does support it as well through function calling), data source/google search grounding, secure API auth, enterprise deployment, ability to use your cloud storage buckets for storing and inputting multimodal data, and scalable rate limits. Temperature setting in Gemini vertex is also increased to 2. You can also access more models like PaLM, codey, and so on. In your case, Gemini API is enough, its best for developers or to prototype your application with Gemini API. Vertex if you need more flexibility https://cloud.google.com/vertex-ai/generative-ai/docs/migrate/migrate-google-ai

Claude Code Docs

code.claude.com › docs › en › google-vertex-ai

Claude Code on Google Vertex AI - Claude Code Docs

19 hours ago - # Set your project ID gcloud config set project YOUR-PROJECT-ID # Enable Vertex AI API gcloud services enable aiplatform.googleapis.com

getmaxim.ai › guides › api keys › mistral

How to Get a Vertex AI API Key - Step-by-Step Guide | Bifrost

May 21, 2026 - Free credits: New Google Cloud accounts receive $300 in credits. Vertex AI also offers free-tier quotas for testing. ... Use console.cloud.google.com. Sign in to Google Cloud Console and create a new project (or select an existing one). ... In APIs & Services, search for Vertex AI API and click Enable for your project.

docs.cloud.google.com › gemini enterprise agent platform › get started with gemini enterprise agent platform

Get started with Gemini Enterprise Agent Platform | Google Cloud Documentation

May 7, 2026 - This client only needs to be created // once, and can be reused for multiple requests. try (Client client = Client.builder() .location("global") .vertexAI(true) .httpOptions(HttpOptions.builder().apiVersion("v1").build()) .build()) { GenerateContentResponse response = client.models.generateContent(modelId, "How does AI work?", null); System.out.print(response.text()); // Example response: // Okay, let's break down how AI works.

Anthropic Courses

anthropic.skilljar.com › claude-with-google-vertex

Claude with Google Cloud's Vertex AI

This course provides comprehensive technical training on integrating and deploying Claude AI models through Google Cloud's Vertex AI. Developers will learn to implement Claude's API capabilities, from basic request handling to advanced features including tool use, retrieval augmented generation (RAG), and the Model Context Protocol (MCP).

reddit.com › r/google_antigravity › how do you configure and use vertex ai api?

r/google_antigravity on Reddit: How do you configure and use Vertex AI API?

January 7, 2026 -

I have Google Cloud account with enough credit and want to call Vertex AI API directly from Antigravity IDE. I asked ChatGPT and Google Chat, all given answers and steps that are not working.

The API call worked fine using Cline extension configuration under VS code.

Appreciate any input and help.

no Google Cloud account support yet. Only Google AI.

Was trying to get this to work as well. But the only thing I got it to work was by using the Gemini CLI Companion plugin and use Vertex AI from there. Which is ok-ish, but I'd rather use it via the Agent manager instead of via a terminal window.

googleapis.github.io › python-genai

Google Gen AI SDK documentation

Google Gen AI Python SDK provides an interface for developers to integrate Google’s generative models into their Python applications. It supports the Gemini Developer API and Vertex AI APIs.

console.cloud.google.com › apis › library › aiplatform.googleapis.com

Google Cloud console

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