gemini-api-integration

# Gemini API Integration ## Overview This skill guides AI agents through integrating Google Gemini API into applications — from basic text generation to advanced multimodal, function calling, and streaming use cases. It covers the full Gemini SDK lifecycle with production-grade patterns. ## When to Use This Skill - Use when setting up Gemini API for the first time in a Node.js, Python, or browser project - Use when implementing multimodal inputs (text + image/audio/video) - Use when adding streaming responses to improve perceived latency - Use when implementing function calling / tool use with Gemini - Use when optimizing model selection (Flash vs Pro vs Ultra) for cost and performance - Use when debugging Gemini API errors, rate limits, or quota issues ## Step-by-Step Guide ### 1. Installation & Setup **Node.js / TypeScript:** ```bash npm install @google/generative-ai ``` **Python:** ```bash pip install google-generativeai ``` Set your API key securely: ```bash export GEMINI_API_KEY="your-api-key-here" ``` ### 2. Basic Text Generation **Node.js:** ```javascript import { GoogleGenerativeAI } from "@google/generative-ai"; const genAI = new GoogleGenerativeAI(process.env.GEMINI_API_KEY); const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash" }); const result = await model.generateContent("Explain async/await in JavaScript"); console.log(result.response.text()); ``` **Python:** ```python import google.generativeai as genai import os genai.configure(api...