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Documentation Index

Fetch the complete documentation index at: https://www.rumus.ai/docs/llms.txt

Use this file to discover all available pages before exploring further.

Bring your own Google AI Studio key to use Gemini in Rumus — including the long-context Pro models and the fast Flash variants.

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Before you start

You need:
  • A Google account.
  • An API key from Google AI Studio.
  • Billing enabled on your Google AI project for paid models. Some Gemini models are available on a free tier with limits.
For Vertex AI (the Google Cloud enterprise endpoint), use the OpenAI-compatible provider — Vertex requires service-account auth that’s outside the scope of this provider type.

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Add Google AI in Rumus

1

Open the model settings

Go to Settings → AI → Models and click Add Model.
2

Pick the provider

Set Provider to Google AI.
3

Paste your API key

Paste the key from Google AI Studio into API Key. It’s stored encrypted in your local vault.
4

(Optional) Custom base URL

Leave Base URL blank to use https://generativelanguage.googleapis.com. Override only for special routing.
5

Pick a model

Choose from the list (Gemini 3 Pro, Gemini 3 Flash, Gemini 2.5 Pro/Flash, etc.) or toggle Enter custom ID to type a model ID manually.
6

Capabilities

On the Capabilities tab:
  • Tool Calling — Gemini supports function calling.
  • Vision — Gemini is natively multimodal.
  • Prompt Cache — supported on the Pro tier.
7

Save

The model appears in the picker under Custom Models.
ModelGood for
Gemini 3 ProLong-context analysis (whole repos, large logs); careful reasoning
Gemini 3 FlashDefault daily driver — fast, low cost, strong tool use
Gemini 2.5 Flash-LiteHigh-volume autocomplete, classification
Gemini Pro models accept extremely large contexts (up to 1M tokens on some versions), which is useful for reading entire repositories or long log files in a single pass.

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Tips

  • Thinking budget is configurable per request on Pro models — Rumus exposes it as a per-thread setting next to temperature.
  • System instructions are honored, but Gemini treats them slightly differently from OpenAI; use them for stable rules, put dynamic context in the user message.
  • Region matters for latency. If you’re far from us-central1, expect noticeable round-trip times on streaming responses.

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Troubleshooting

The API key is invalid or doesn’t have the Generative Language API enabled. Re-create it in Google AI Studio.
You’ve hit the free-tier quota or a per-minute limit. Enable billing on the Google project or wait for the window to reset.
Toggle Enter custom ID and paste the exact model ID (e.g. gemini-3-pro-preview-12-01).
Hit a snag we didn’t cover? Ask in the Rumus community.

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Next steps

Other providers

Anthropic, OpenAI, Z.AI, DeepSeek, Kimi, Ollama, OpenAI-compatible.

AI assistant

What you can do once a model is connected.