Google
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.
Home
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Apps Script
Apps Script's Vertex AI advanced service lets you access and use generative AI models on the Google Cloud Vertex AI platform. ... Build an agentic Google Chat app using Gemini Enterprise. ... Build Gemini Enterprise agents that are tightly integrated with Workspace data stores, APIs, and Chat apps.
Guides
Learn how Google Apps Script is a rapid application development platform for creating business applications that integrate with Google Workspace.
How to get started
Google Workspace offers developer products and tools to connect or extend Google Workspace apps like Gmail, Drive, and Chat, each with its own Google Cloud project for API configuration, authentication, and deployments · The Google Workspace API Overview in the Google Cloud console provides ...
GitHub
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.
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Languages Python
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
How do you configure and use Vertex AI API?
no Google Cloud account support yet. Only Google AI. More on reddit.com
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
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
Videos
03:47
How To Enable Vertex AI API in Google Cloud (Tutorial) - YouTube
08:30
Gemini API versus Vertex AI API - What's the Difference? - YouTube
09:51
Run Google's Models on Vertex AI with Python + EU Data Residency ...
01:45
How to Enable Vertex AI API & Use Your Google Trial Credits - YouTube
06:22
How to start using Gemini API on Vertex AI🔥: Python & Node.js ...
06:41
5 分で解説!Vertex AI Search for Commerce 検索・ブラウズ ...
Google
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.
Google
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 ...
Google Cloud
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.
AI SDK
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.
Google
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
Google Cloud
console.cloud.google.com › apis › library › aiplatform.googleapis.com
Google Cloud console
The API Library has documentation, links, and a smart search experience. Vertex AI is now Gemini Enterprise Agent Platform.
Google
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.
Google
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...
Reddit
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?
Top answer 1 of 6
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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.
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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
Google
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.
Reddit
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.
Top answer 1 of 3
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no Google Cloud account support yet. Only Google AI.
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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.
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).
Claude Code Docs
code.claude.com › docs › en › google-vertex-ai
Claude Code on Google Vertex AI - Claude Code Docs
2 days ago - # Set your project ID gcloud config set project YOUR-PROJECT-ID # Enable Vertex AI API gcloud services enable aiplatform.googleapis.com
AI Content Labs
docs.aicontentlabs.com › articles › vertex-ai-api-key
How to Set Up the Vertex AI API Key
January 7, 2025 - Learn how to connect Vertex AI with AI Content Labs. Obtain your Vertex AI API key and configure it in AI Content Labs to access powerful AI models.