Google Gemini

What it’s good for

Fast, capable models with generous free tiers. Gemini handles both chat and embeddings from a single provider, so there’s no two-server setup needed. Good for getting started quickly with a cloud provider.

Requirements

A Google AI API key
Generate one at aistudio.google.com

Configure in Spaceduck

Chat

Set your API key

In Settings > Chat, select Google Gemini as the provider, then enter your API key.Or via CLI:

spaceduck config secret set /ai/secrets/geminiApiKey

Select a model

In Settings > Chat:

Provider: Google Gemini
Model: e.g., gemini-2.5-flash or gemini-2.0-pro

Or via CLI:

spaceduck config set /ai/provider gemini
spaceduck config set /ai/model "gemini-2.5-flash"

Verify

Send a message in the chat. You should see a streaming response.

Embeddings

Gemini provides text embeddings through the same API key.

Configure embedding model

In Settings > Memory:

Toggle Semantic recall on
Provider: Google Gemini (or “Same as chat provider”)
Model: text-embedding-004
Dimensions: leave empty for the provider default

Or via CLI:

spaceduck config set /embedding/enabled true
spaceduck config set /embedding/provider gemini
spaceduck config set /embedding/model "text-embedding-004"

Test

Click the Test button in Settings > Memory.

Test and troubleshoot

Problem	Cause	Fix
`401` or `403` error	Invalid API key	Check your key at aistudio.google.com
`429 Too Many Requests`	Rate limit (free tier)	Wait a minute and retry, or upgrade to a paid plan
Model not found	Typo in model name	Check available models at ai.google.dev/models

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What it’s good for

Requirements

Configure in Spaceduck

Chat

Embeddings

Test and troubleshoot

​What it’s good for

​Requirements

​Configure in Spaceduck

​Chat

​Embeddings

​Test and troubleshoot

What it’s good for

Requirements

Configure in Spaceduck

Chat

Embeddings

Test and troubleshoot