ActionGoogle Vertex AIUpdated June 2026

How do I call Gemini through Vertex AI?

Short answer: Drop the "Google Vertex AI → Generate Content (Gemini)" action anywhere in your workflow, map the inputs from upstream nodes, and publish.

Use this action All 3 Google Vertex AI actions

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.

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 workflow pauses on the failed node, the error message is captured in the run log, and you can retry the run with one click. Auto-retry policies are configurable per workflow with exponential backoff up to 5 attempts.

Does Generate Content (Gemini) support batch operations?

Yes. Run Generate Content (Gemini) inside a Loop node to process arrays. Tiny Command handles Google Vertex AI's rate limits automatically so you don't have to throttle manually.

How do I call Gemini through Vertex AI?

The fields this action accepts.

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

Questions about Generate Content (Gemini).

Other Google Vertex AI actions.

Send generate content (gemini) from your workflows.