# Get started with the Interactions API

## Executive summary

The Interactions API is now generally available and serves as a unified interface for interacting with various Gemini models and agents. It simplifies complex interactions—ranging from synchronous model calls to multi-step agent workflows in remote environments—by providing a single API endpoint. The API supports stateful operations by allowing users to pass the previous interaction ID, enabling iterative refinement of outputs (e.g., image editing) without re-uploading source data.

## Key takeaways

- Unified Model Access: The Interactions API provides easy access to all Gemini models and agents through a single interface, simplifying development across various Google AI capabilities.
- Stateful Interactions: The API is stateful; developers can pass the previous interaction ID to build upon prior results, which is crucial for iterative processes like image editing or complex data processing.
- Advanced Capabilities: New features include managed agents, background execution tool improvements, Deep Research, and media generation (e.g., Nano banana for images, Lyriq 3 for music, TTS for speech).

## Technical details

- API Architecture & Usage: The API supports both synchronous calls (direct model interaction) and complex asynchronous agent tasks (e.g., multi-step installations in a remote environment).
- Workflow Demonstration: A photo editing application was built using the Gemini Interactions API skill within an AI IDE (Anti-gravity). The process involved transcribing audio input via an A transcribe API endpoint (using Gemini 3.5 Flash) and then performing iterative image edits with Nano banana, leveraging the previous interaction ID for continuity.
- Implementation Details: The setup required configuring environment variables (API key), using NPM to install dependencies, and running a development server (`npm run dev`) to create an API backend in Server JS.

## Practical implications

- Build engineers can integrate complex, multi-stage AI workflows (like those requiring transcription followed by image manipulation) into applications using a single, stateful API.
- The unified nature of the Interactions API simplifies dependency management and integration when dealing with multiple Google AI models (e.g., Gemini 3.5 Flash for text/audio, Nano banana for images).
- Statefulness allows for building sophisticated user experiences that require iterative feedback loops without losing context or requiring redundant data inputs.

## Topics

Gemini Models, Interactions API, AI Agents, Generative AI, API Development, Workflow Automation, Google AI, Gemini Interactions API, Anti-gravity IDE, Google Developers Portal

Source: https://www.youtube.com/watch?v=iOK1-b_9Dlg