Introduction

Building and scaling AI agents is crucial in today’s technological landscape. With the advancements in machine learning and artificial intelligence, developers are constantly looking for ways to improve the efficiency and effectiveness of their AI agents.

New Capabilities with Agent Builder

Recently, Google announced new capabilities with Agent Builder to help developers build, scale, and govern AI agents more effectively. These new features span across the entire agent lifecycle, making it easier for developers to take their AI agents from prototype to production at a global scale.

Building AI Agents with Agent Builder

One of the key features of Agent Builder is its ability to help developers build and deploy generative AI agents using powerful tools and infrastructure. This codelab provides a step-by-step guide on how to create and deploy AI agents with ease.

Agent Engine Overview

Agent Builder also offers an overview of Agent Engine, which allows developers to deploy and scale agents with a managed runtime and end-to-end management capabilities. This feature enables developers to customize the agent’s container image with build-time installation, enhancing the agent’s performance and scalability.

Flexible Pricing and Usage

For enterprises already using Agent Builder, the flexible, usage-based pricing model makes it easier to plan and scale their AI agents. Teams can now leverage Agent Builder’s capabilities with confidence, knowing that they can easily manage costs and scale their agents as needed.

Conclusion

With the new capabilities and features offered by Agent Builder, developers have more ways to build and scale AI agents effectively. Whether you are a seasoned developer or just starting with AI agents, Agent Builder provides the tools and infrastructure needed to create high-performing AI agents at a global scale.