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gemini-api-dev

Build applications with Gemini models across Python, JavaScript, Java, and Go SDKs.

515|64|Updated Oct 23, 2024
Search Tags:#sdk#multimodal#function-calling#model-selection#structured-outputs#gemini-api#programming-languages
One-click install
npx skills add https://github.com/allenhutchison/obsidian-gemini --skill gemini-api-dev-allenhutchison
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gemini-api-dev
Source: https://github.com/allenhutchison/obsidian-gemini/tree/main/.agents/skills/gemini-api-dev
Command: npx skills add https://github.com/allenhutchison/obsidian-gemini --skill gemini-api-dev-allenhutchison

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Developers need a unified path to build applications with Gemini models and the Gemini API, including multimodal content support and modern SDKs across multiple languages.

Core Features & Use Cases

  • Cross-language SDK coverage across Python, JavaScript/TypeScript, Java, and Go for Gemini API integration.
  • Model selection guidance, function calling, and structured outputs.
  • Multimodal content handling (text, images, audio, video) in end-to-end AI workflows.

Quick Start

Install the appropriate SDKs for your language (google-genai for Python, @google/genai for JavaScript/TypeScript, com.google.genai:google-genai for Java, google.golang.org/genai for Go) and invoke a Gemini model to generate content.

Frequently Asked Questions about gemini-api-dev

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I use the Gemini API for multimodal content generation in Python?▼

To use the Gemini API for multimodal content generation in Python, install the google-genai SDK and invoke a Gemini model to process text, images, audio, and video across end-to-end AI workflows.

Does the Gemini API support function calling and structured outputs?▼

Yes, the Gemini API supports function calling and structured outputs, allowing developers to integrate external data and enforce specific response formats across Python, JavaScript/TypeScript, Java, and Go SDKs.

What's the best way to integrate Gemini models across different programming languages?▼

The best way to integrate Gemini models across programming languages is using the official SDKs: google-genai for Python, @google/genai for JavaScript/TypeScript, com.google.genai:google-genai for Java, and google.golang.org/genai for Go.

How do I handle model selection when building applications with the Gemini API?▼

Handle model selection in the Gemini API by referencing current Gemini model specifications and capabilities, ensuring you choose the appropriate model for your specific AI tasks and multimodal workflows.

Can I use the Gemini API SDK with Go and Java for AI workflows?▼

Yes, you can use the Gemini API SDK with Go and Java by installing google.golang.org/genai and com.google.genai:google-genai respectively to build applications with multimodal content and function calling.

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