Gemini

The Gemini connection lets Siesta AI use Google's Gemini models for chat and reasoning. Like other model providers, it becomes available for agents, templates, and workflows once added.

Overview

Siesta AI uses the Gemini connection to:

• run agents and workflows on Gemini models,
• generate responses grounded in your connected data collections,
• provide an alternative or complement to other model providers.

Because the platform is model-independent, a Gemini connection can be assigned per agent and can coexist with OpenAI and Azure AI Foundry.

Requirements

• A Google account with access to Google AI Studio.
• A Gemini API key.
• Any usage or billing setup required on the Google side.

1. Create an API Key

1. Sign in to Google AI Studio at aistudio.google.com.
2. Open API keys and create a new key.
3. Copy the key and store it securely.

Use separate keys for development and production so they can be rotated or revoked independently.

2. Add the Connection in Siesta AI

1. Open the Connections section.
2. Click Add Connection.
3. Search for and select Gemini.
4. Fill in:
   • Name: a recognizable label, for example Gemini - PROD.
   • ApiKey: paste the API key from Google AI Studio.
   • Access: Private (visible only to you) or Shared (usable across the organization).
5. Save. Siesta AI validates the key and stores it encrypted.

3. Use Gemini Models

1. Open an Agent, Template, or Workflow.
2. Set the model provider to Gemini.
3. Choose the model you want to use.
4. Save the configuration.

Security & Governance

• The API key is stored encrypted and is never shown back in full.
• Use Shared access only for keys the whole organization may use, and review who can reach them.
• Token limits can be managed per model connection at organization, team, and user level.
• Usage and cost are visible through Analytics and the Google AI Studio console.

Technical Notes

• Implementation: Gemini is used as a model connection, not as a business function set.
• Authentication/scopes: authentication uses the Gemini API key. Access to specific models depends on your Google account entitlements.
• Functions: model invocation is handled through the model connection layer; connection-style read/write functions are not exposed from this page.
• Operational notes: confirm model availability, rate limits, and quotas before assigning the connection to production agents.

Summary

The Gemini connection adds Google's Gemini models to Siesta AI as a selectable provider for agents, templates, and workflows. Setup is a single API key, and access, token limits, and cost stay under your control.