gemini

To use the Gemini API for text and image generation, call the REST endpoint https://generativelanguage.googleapis.com/v1beta with a valid GOOGLE_API_KEY, selecting models like gemini-2.5-flash for text and gemini-2.5-flash-image for visuals.

Yes, multimodal analysis and text generation can be combined in a single API request by passing image inputs alongside text prompts to the Gemini API endpoint, optionally applying generationConfig and safety settings.

Function calling in the Gemini API allows models to invoke custom functions you define, returning structured outputs that can trigger external workflows via REST endpoints when configured using the tools parameter.

Yes, accessing Gemini models requires a valid GOOGLE_API_KEY sent to the generativelanguage REST endpoint to authenticate requests for text generation, multimodal analysis, image creation, and search grounding.

You can ground generated text with live web data by enabling search grounding tools in your API request, allowing the Gemini model to fetch and integrate current information into its generation output.

Limitations of the Gemini API for multimodal generation include requiring specific models like gemini-3-pro-image-preview for advanced visuals, manual configuration of generationConfig and safety settings, and managing separate REST calls for distinct tasks.