Gemini

The Gemini API provides programmatic access to Google’s Gemini family of multimodal AI models, which handle text, images, code, audio, and other data types. It offers endpoints for tasks such as text generation, reasoning, summarization, translation, code assistance, and image understanding. The API supports both synchronous requests and streaming responses, allowing applications to handle long or complex model outputs efficiently.

Developers interact with the Gemini API using JSON-based requests that specify model parameters, input content, safety settings, and response formats. The models operate on a multimodal “content” structure, meaning different data types—such as text passages, images, or base64-encoded files—can be combined in a single prompt. Authentication is handled through API keys, with client libraries available for languages including Python, JavaScript, and Java.

The Gemini API is typically used in chatbots, document processing, analytics workflows, creative tools, code-generation systems, and any applications requiring advanced reasoning or multimodal AI capabilities.

Documentation URL: https://ai.google.dev/gemini-api/docs

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Installable Elements

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Base Elements

These elements are required for the templates below to work

Gemini Remote Site Settings
Remote Site Settings for Gemini API calls

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Content Generation

Calls for content generation from Gemini

Gemini - Generate Content
API Call for Content Generation with Gemini

In order to install this in your org, you need to access the library from the Declarative Webhooks app in your Salesforce org, Declarative Webhooks Library tab.