AI & MLReal-timeUpdated June 2026

Google Vertex AI integration

Google Vertex AI managed LLM and Imagen

Google Vertex AI is the managed-LLM and ML platform on Google Cloud — hosts Gemini models, Imagen image generation, plus the broader Vertex AI workbench for training, deploying, and serving custom models. Tiny Command exposes three actions, no triggers: Generate Content (Gemini on Vertex) (against Gemini models served from Vertex with the Vertex-specific request shape; pricing and rate limits differ from the Gemini API direct), Embed Text (Vertex's text-embedding models — textembedding-gecko and others), Imagen Generate (Vertex's Imagen text-to-image model — separate from Imagen on the Gemini API). The connection uses Google Cloud service-account credentials with aiplatform.user permissions, scoped to a specific project and region. Vertex AI is the enterprise-grade GCP-native path; Gemini API direct is the developer-friendly direct path. For enterprises already deep in GCP (with IAM-based access control, VPC service controls, BigQuery integration), Vertex. For independent developers, Gemini API direct is simpler.

Connect Google Vertex AI

No credit card required · Set up in under 2 minutes

0triggers

3actions

≈ 2 minto set up

Freetier · no card

Actions

Do anything Google Vertex AI can do, from a workflow.

Every action accepts dynamic inputs from upstream nodes, whether that's an AI output, a form field, or a search result.

Action	What it does	Inputs	Open action
Embed Text	Generates text embeddings on Vertex AI using Gemini Embedding or text-embedding-005. Use for RAG, semantic search, or clustering inside your GCP project (with the data-residency/retention controls that come with Vertex).	3 inputs	View
Generate Content (Gemini)	Calls Gemini models on Vertex AI using your GCP project, region, and IAM. Same model family as the public Gemini API but with enterprise governance: VPC-SC, CMEK, audit logs, and data-residency.	5 inputs	View
Imagen Generate	Generates images using Imagen on Vertex AI, the enterprise-tier image model with prompt-rewriting controls, safety filters, and retention controls suitable for regulated workloads.	4 inputs	View

Recipes

Pre-built Google Vertex AI workflows.

Clone any recipe and customize it in one click. Every recipe is fully editable.

Google Vertex AI → Slack alerts

AI-triage every Google Vertex AI event, ping the right channel only when it matters.

Google Vertex AI → Google Sheets log

Every event matching a filter, appended to a running spreadsheet.

Google Vertex AI → Notion database

Turn Google Vertex AI into a Notion-backed source of truth, auto-tagged.

Before you build

Three things worth knowing.

Filter at the trigger

Tiny Command counts a run the moment a trigger fires. Filtering early means only matching events spend your usage budget.

Authorize once, reuse anywhere

Connect Google Vertex AI once and every workflow on your account can use its triggers and actions. You don't have to re-auth per workflow.

No JSON to read

Every Google Vertex AI field shows up in the visual picker for downstream nodes. The raw payload is there for power users, optional for everyone else.

FAQ

Questions about the Google Vertex AI integration.

If we missed yours, ping support. We usually reply within an hour.

How do I connect Google Vertex AI to Tiny Command?

Open the Tiny Command workflow builder, drop in a Google Vertex AI node, and click Connect. Authorize Google Vertex AI once and any workflow on your account can use its triggers and actions. Most teams finish the connection in under two minutes.

What Google Vertex AI triggers does Tiny Command support?

Tiny Command focuses on outbound actions for Google Vertex AI today. Use Tiny Command's universal Webhook or Schedule trigger to start Google Vertex AI workflows, then run any Google Vertex AI action you need.

What Google Vertex AI actions can I run from a workflow?

3 Google Vertex AI actions are available out of the box, covering ai & ml operations like "Embed Text". Every action accepts dynamic inputs from upstream nodes, whether that's a search result, an AI output, or a form field.

Is the Google Vertex AI integration real-time?

Google Vertex AI actions execute synchronously inside your workflow. Tiny Command waits for Google Vertex AI's API to confirm before continuing to the next step, so downstream nodes can rely on the result.

Do I need to write code to use Google Vertex AI with Tiny Command?

No. Every Google Vertex AI trigger and action is fully configurable from the visual workflow builder. For edge cases that aren't covered, drop in a custom HTTP node and call any Google Vertex AI API endpoint directly.

How much does the Google Vertex AI integration cost?

There's a free tier you can start on without a credit card. Higher run volumes and team features come with paid plans. The Google Vertex AI integration itself has no per-app surcharge.