gemini-interactions-api

Implement stateful Gemini Enterprise Agent interactions with streaming and function calling.

Updated Jun 26, 2026
One-click install
npx skills add https://github.com/wangx7/skills-collection --skill gemini-interactions-api-wangx7
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gemini-interactions-api
Source: https://github.com/wangx7/skills-collection/tree/main/google-skills/skills/cloud/gemini-interactions-api
Command: npx skills add https://github.com/wangx7/skills-collection --skill gemini-interactions-api-wangx7

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Developers building generative AI agents on the Gemini Enterprise Agent Platform face the challenge of implementing persistent conversation state, handling real-time streaming, integrating external tools, and generating structured outputs without managing low-level API details or dealing with deprecated SDK and model versions.

Core Features & Use Cases

  • Stateful Multi-Turn Conversations: Maintain persistent conversation context across multiple user interactions without manual state management.
  • Real-Time Streaming & Structured Output: Deliver partial responses to users as content generates, and retrieve type-safe JSON responses matching custom schemas.
  • Function Calling for Agentic Workflows: Integrate external tools and services to enable agents to complete complex, multi-step tasks autonomously.
  • Use Case: A developer building a customer support agent can use this skill to implement multi-turn troubleshooting conversations, stream responses to users in real time, and pull order status data from internal databases via function calling to resolve user queries.

Quick Start

Use the gemini-interactions-api skill to build a stateful customer support agent that streams responses and uses function calling to retrieve user order status from an internal database.

Frequently Asked Questions about gemini-interactions-api

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

FAQPage Schema
How do I maintain conversation state across multi-turn interactions with the Gemini API?

To maintain conversation state across multi-turn interactions, you can use the Gemini Interactions API to build stateful, server-managed agents. This approach handles persistent context automatically without requiring manual state management.

How do I stream real-time responses from a generative AI agent to users?

You can stream real-time responses from a generative AI agent by using the streaming responses feature in the Gemini Interactions API. This delivers partial content to users as it generates, improving interaction responsiveness.

Can I use function calling with the Google Gen AI SDK to build agentic workflows?

Yes, you can use function calling with the Google Gen AI SDK to build agentic workflows. The Gemini Interactions API supports integrating external tools and services, enabling agents to autonomously complete complex, multi-step tasks.

What is the best way to get structured JSON output from Gemini models?

The best way to get structured JSON output from Gemini models is using the Interactions API to retrieve type-safe responses. This feature matches custom schemas, ensuring your application receives consistent and structured data.

Do I need a specific version of the Google Gen AI SDK to use the Interactions API?

Yes, you need the Google Gen AI SDK version 2.0.0 or higher to interact with the Interactions API. You also need to use the latest Gemini models, specifically the gemini-3.x or gemini-2.5 series.

Why does my generative AI agent lose context between user interactions?

Your generative AI agent loses context between interactions because it lacks server-managed statefulness. Implementing the Gemini Interactions API solves this by maintaining persistent conversation context across multiple user queries automatically.