gemini-api

Access Google Gemini models via the google-genai SDK or OpenAI-compatible endpoint.

1|4|Updated Feb 20, 2026
One-click install
npx skills add https://github.com/The-Interdependency/a0 --skill gemini-api-the-interdependency
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gemini-api
Source: https://github.com/The-Interdependency/a0/tree/main/.agents/skills/gemini-api
Command: npx skills add https://github.com/The-Interdependency/a0 --skill gemini-api-the-interdependency

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Gemini models can be accessed via the native google-genai SDK or the OpenAI-compatible endpoint, but teams need a unified workflow that covers model selection, grounding, multimodal inputs, tool calling, and energy/cost awareness within a0p pipelines.

Core Features & Use Cases

  • Model selection between gemini-3-pro, gemini-2.5-pro, gemini-2.5-flash, and gemini-2.5-flash-lite with guidance on when to use each.
  • Dual API surfaces: native SDK for Gemini-specific features (grounding, multimodal, thinking_config) and the compat endpoint for vendor-agnostic workflows.
  • Tool calling, structured outputs, streaming, and a0p integration notes for energy/cost tracking, with examples for common tasks.

Quick Start

Provide a minimal Gemini API invocation such as summarizing text with gemini-2.5-flash, enabling grounding when needed.

Frequently Asked Questions about gemini-api

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

FAQPage Schema
How do I access Google Gemini models using the OpenAI-compatible endpoint?

Access Google Gemini models via the OpenAI-compatible endpoint for vendor-agnostic workflows, or use the native google-genai SDK. This dual API surface enables seamless integration for model selection, tool calling, and multimodal inputs.

What is the difference between gemini-2.5-pro and gemini-2.5-flash for inference tasks?

Gemini model selection differentiates variants by capability and cost. Use gemini-2.5-pro for advanced reasoning and gemini-2.5-flash for lightweight inference, ensuring optimal energy routing and cost tracking across a0p pipelines.

How do I enable grounding and tool calling with the google-genai SDK?

Enable native Gemini features like grounding and tool calling by invoking the google-genai SDK. This approach supports Gemini-specific configurations including structured outputs, streaming, and thinking_config for complex inference tasks.

Can I track energy and cost considerations when using Gemini APIs in my workflows?

Track energy and cost considerations by integrating Gemini API workflows within a0p pipelines. The framework defines status monitoring and integration guidelines to manage model variants, tooling schemas, and energy routing effectively.

Does the Gemini API support multimodal inputs and streaming?

The Gemini API supports multimodal inputs and streaming through the native google-genai SDK. It applies to workflows requiring model selection, tool calling, and thinking_config, ensuring comprehensive handling of diverse inference requirements.