Google Gemini
Google Gemini LLM, embeddings, and Imagen
Google Gemini on Tiny Command exposes the Gemini API surface for text generation, embeddings, image generation (Imagen), and file uploads. Six actions, no triggers (LLM APIs are request-response by nature): Generate Content (the core chat/completion call against gemini-1.5-pro, gemini-1.5-flash, gemini-2.0-flash, etc. — supports text, images, video, and audio as input via multimodal parts), Embed Content (text-embedding-004 and gemini-embedding-001 for vector workflows), Generate Image (Imagen via the Vertex AI / Gemini API), Upload File (for the Files API — needed when working with media >20MB or when you want a stable handle to reuse across calls), Count Tokens (pre-flight for staying under context windows), and List Models. The connection uses a Google AI Studio API key (free tier available with rate limits) — for production with higher limits, the API key can be from a Google Cloud project with billing enabled. Generate Content supports the system instruction parameter, tool calling (function declarations), JSON mode, and safety settings.
Do anything Google Gemini 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 |
|---|---|
| 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. |
| Gemini Embed Content | Generates embeddings using text-embedding-004 or gemini-embedding-001. For RAG-pipeline vector generation in Google AI ecosystem workflows. |
| Gemini Generate Content | 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. |
| Generate 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. |
| List 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. |
| Upload 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. |
Pre-built Google Gemini workflows.
Clone any recipe and customize it in one click. Every recipe is fully editable.
AI-triage every Google Gemini event, ping the right channel only when it matters.
Every event matching a filter, appended to a running spreadsheet.
Turn Google Gemini into a Notion-backed source of truth, auto-tagged.
Three things worth knowing.
Tiny Command counts a run the moment a trigger fires. Filtering early means only matching events spend your usage budget.
Connect Google Gemini once and every workflow on your account can use its triggers and actions. You don't have to re-auth per workflow.
Every Google Gemini field shows up in the visual picker for downstream nodes. The raw payload is there for power users, optional for everyone else.
Questions about the Google Gemini integration.
If we missed yours, ping support. We usually reply within an hour.
How do I connect Google Gemini to Tiny Command?
What Google Gemini triggers does Tiny Command support?
What Google Gemini actions can I run from a workflow?
Is the Google Gemini integration real-time?
Do I need to write code to use Google Gemini with Tiny Command?
How much does the Google Gemini integration cost?
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Wire it to Slack, Notion, HubSpot, Stripe, or any of the other 438 apps in our catalog. Setup takes roughly two minutes. Free to try, no credit card.
