2 posts tagged with "Generative AI"

The AI development landscape is shifting from stateless request-response patterns to stateful, multi-turn agentic workflows. Google's new Interactions API provides a unified interface designed specifically for this new era—offering a single gateway to both raw Gemini models and the fully managed Deep Research Agent.

In one sentence: The Interactions API is a unified endpoint for interacting with Gemini models and agents, featuring server-side state management, background execution for long-running tasks, and native support for the Deep Research Agent.

Building a GenAI agent prototype on your laptop is magic. You write a few lines of Python, hook up an LLM, and suddenly you’re chatting with your data. But taking that magic from a Jupyter notebook to a production environment—secure, scalable, and observable—is where the real headache begins.

Enter the Google Cloud Agent Starter Pack.

This open-source repository is Google’s answer to the "prototype purgatory" problem. It’s a comprehensive toolkit designed to bootstrap production-ready generative AI agents on Google Cloud Platform (GCP) in minutes, not months.