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- Generate Content (Gemini)
ActionGoogle Vertex AIUpdated May 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.
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.
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.
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).
ActionImagen 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.
Send generate content (gemini) from your workflows.
Triggered by anything in the catalog. Free tier available. No credit card.