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- Gemini Generate Content
ActionGoogle GeminiUpdated May 2026
How do I call Gemini for text generation?
Short answer: Drop the "Google Gemini → Gemini Generate Content" 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 | Which Gemini model to use |
Prompt prompt | string | Required | Your prompt |
System Instruction system_instruction | string | Optional | System-level guidance |
Temperature temperature | string | Optional | 0–2 |
Max Output Tokens max_output_tokens | string | Optional | 2048 |
Top P top_p | string | Optional | 0.95 |
Top K top_k | string | Optional | 40 |
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 response"}]},"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 Gemini Generate Content.
Any of these apps can fire this action as part of a workflow.
FAQ
Questions about Gemini Generate Content.
What does the Gemini Generate Content action do in Google Gemini?
Runs a multimodal completion (text, images, video, audio) against Gemini models. Supports system instruction, tools/function-calling, JSON mode, configurable safety settings. The base hook for any Gemini-based LLM workflow.
What inputs does Gemini Generate Content 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 Gemini 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 Gemini Generate Content support batch operations?
Yes. Run Gemini Generate Content inside a Loop node to process arrays. Tiny Command handles Google Gemini's rate limits automatically so you don't have to throttle manually.
More actions
Other Google Gemini actions.
Action
Count Gemini Tokens
Returns the token count for a prompt before submitting. Useful for "is this prompt too long for the context window?" pre-flight checks on long-document workflows.
ActionGemini Embed Content
Generates embeddings using text-embedding-004 or gemini-embedding-001. For RAG-pipeline vector generation in Google AI ecosystem workflows.
ActionGenerate Image with Imagen
Generates images via Google's Imagen models. For workflows that need Google-AI-ecosystem image generation rather than going to Flux/Midjourney/DALL-E directly.
ActionList Gemini Models
Returns the current Gemini catalog with context windows and capabilities. For model-selection workflows that need to choose between pro/flash/ultra tiers.
ActionUpload File for Gemini
Uploads a file to Gemini's Files API. Useful for media >20MB or when reusing the same file across multiple Generate Content calls. Files auto-delete after 48 hours.
Send gemini generate content from your workflows.
Triggered by anything in the catalog. Free tier available. No credit card.