ActionGoogle Vertex AIUpdated September 2026

How do I call Gemini through Vertex AI?

Short answer: You can generate content (gemini) in Google Vertex AI by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the Google Vertex AI Generate Content (Gemini) action to a workflow, map its 5 inputs from any upstream app, and it runs automatically every time the trigger fires. No code, and a free tier to start.

Generate Content (Gemini) in Google Vertex AI — start free All 3 Google Vertex AI actions

Generate Content (Gemini) in Google Vertex AI — start free

Inputs

The fields this action accepts.

Every field can be mapped from an upstream trigger, AI step, table row, or hard-coded literal.

Field	Type	Required	Description
Model model	options	Required	Model. Options: Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini 2.0 Flash …
Prompt prompt	string	Required	Prompt (required)
System Instruction system_instruction	string	Optional	System Instruction
Temperature temperature	string	Optional	0.7
Max Output Tokens max_output_tokens	string	Optional	2048

Sample request

{
  "model": "{{trigger.model}}",
  "prompt": "{{trigger.prompt}}",
  "system_instruction": "{{trigger.system_instruction}}",
  "temperature": "0.7",
  "max_output_tokens": "2048"
}

Returns

{
  "candidates": [
    {
      "content": {
        "role": "model",
        "parts": [
          {
            "text": "Sample"
          }
        ]
      },
      "finishReason": "STOP"
    }
  ],
  "usageMetadata": {
    "totalTokenCount": 60,
    "promptTokenCount": 10,
    "candidatesTokenCount": 50
  }
}

Use these fields in downstream nodes for routing, logging, or error handling.

Triggered by

Apps that pair well as the trigger for Generate Content (Gemini).

Any of these apps can fire this action as part of a workflow.

Gmail → Google Vertex AI

1 Gmail triggers

Slack → Google Vertex AI

13 Slack triggers

Google Sheets → Google Vertex AI

2 Google Sheets triggers

HubSpot → Google Vertex AI

18 HubSpot triggers

FAQ

Questions about Generate Content (Gemini).

What does the Generate Content (Gemini) action do in Google Vertex AI?

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.

What inputs does Generate Content (Gemini) require?

Required: Model, Prompt. Every input accepts a static value or a variable from any upstream node in your workflow.

Can I use dynamic inputs from earlier workflow nodes?

Yes. Any field on this action can pull values from upstream nodes, whether that's a form response, a trigger payload, an AI output, or a lookup result.

What happens if Google Vertex AI returns an error?

The run history shows the failed step with its input and the error message Google Vertex AI returned, so you can fix the input and run the workflow again. Automatic retries are built into HTTP steps only, where you can also set your own retry count and delay.

Does Generate Content (Gemini) support batch operations?

Run Generate Content (Gemini) inside a loop to process each item in an array. TinyCommand does not throttle calls for you, so for large arrays add a Delay step if you need to stay within Google Vertex AI's rate limits.

More actions

Other Google Vertex AI actions.

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).

Action

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.

Generate Content (Gemini) in Google Vertex AI — start free