google-gemini-api

You can integrate the Google Gemini API by installing the official @google/genai SDK, configuring the GEMINI_API_KEY environment variable, initializing GoogleGenAI, and executing a basic generateContent request using gemini-2.5-flash to verify multimodal AI capabilities.

Yes, the Gemini API supports multimodal inputs including images, video, audio, and PDFs. Using the @google/genai SDK, you can pass these diverse file formats directly into your generateContent requests to analyze and generate text from multiple media types.

The best way to migrate from deprecated Gemini SDKs to the current @google/genai SDK is to enforce explicit model versioning for caching and follow safe migration guidance. This approach clarifies setup requirements and helps you avoid common migration pitfalls during production deployments.

Yes, the Gemini API supports both streaming and function calling across Node.js and browser environments. The @google/genai SDK enables these advanced features to support end-to-end workflows, allowing real-time text generation and tool integration directly in the browser.

To handle token usage and errors when generating content with the Gemini API, apply the production readiness guidance provided by the @google/genai SDK. This includes implementing proper error handling routines and monitoring token considerations to ensure stable application performance.