By Grace Morgan
At Deploy London 2025, we shared the next chapter of the Gradient AI Platform. We’re making it easier for developers and businesses to build production-ready AI applications, whether you’re experimenting with your first agent or scaling an enterprise workload.
Today, in that spirit, we’re introducing a new wave of features that expand what you can build with the Gradient AI Platform, give you greater security and control, and accelerate your development workflow.
AI applications are becoming more multimodal and data-driven, able to work with text, images, audio, and other formats. With Image Model Support and Knowledge Base Auto-Indexing, these new Gradient AI Platform features make it easier than ever to give your agents a wide range of inputs and knowledge sources.
You can now generate images programmatically using text prompts through Gradient AI Platform’s Serverless Inference API, powered by OpenAI’s gpt-image-1 model. This is the platform’s first non-text modality (with more coming soon), expanding our capabilities from text-only to include text-to-image generation.
inference.do-ai.run/v1/chat/completions
) for image generation.With this capability, you can create images using natural language prompts for projects such as content generation, marketing assets, product imagery, and more.
Get started with Image Model Support →
Keep your agents up to date without the manual work. With auto-indexing, new and updated documents from connected sources are automatically detected, fetched, and re-indexed into your OpenSearch database to help keep your agent’s knowledge current.
With auto-indexing, you can keep your knowledge bases up to date automatically, saving time and reducing manual maintenance.
As adoption of AI scales, so do requirements for privacy, compliance, and security. We’re making it easier and more secure for enterprises to run AI reliably in production.
The new Gradient AI Platform virtual private cloud (VPC) feature enables you to establish more secure, private network connections between services and resources in your own VPC. This helps eliminate exposure to the public internet while keeping deployments in DigitalOcean’s managed infrastructure.
With the new VPC integration, you can more securely run agents and indexing jobs with private network access, supporting security requirements without managing infrastructure yourself.
Learn more about VPC Integration →
Every team builds differently. Some developers want full control in code; others prefer visual tools to prototype quickly. With this release, we’re supporting both.
The Gradient AI Agent Development Kit (ADK) is a code-first toolkit that helps you build, test, and deploy AI agent workflows directly from your development environment. It provides a code-first framework to define agent workflows, integrate models, and connect tools or APIs, with traces and insights viewable in your workspace.
The Gradient AI Agent Development Kit will be available soon, sign up for the private preview to get early access and start building smarter, production-ready agents.
Also launching soon, Genie is a new IDE-integrated experience in Visual Studio Code. It lets you interact with your agents in natural language from inside VS Code, helping you design, configure, and connect multi-agent systems.
With Gradient AI Genie, you can start building and orchestrating multi-agent systems without leaving your IDE. Sign up for the private preview to get early access to the new feature.
With these new features, you can streamline how you build, manage, and secure AI agents—whether you’re generating images, keeping knowledge bases up to date, or connecting your workloads via private networks. And with the upcoming Gradient AI Agent Development Kit and Gradient AI Genie, you’ll soon have more powerful tools to develop, test, and orchestrate multi-agent systems directly from your development environment. These updates are designed to help you move faster, work more efficiently, and tackle increasingly complex AI workflows with confidence.
Want to explore these new features in depth? Join our webinar on October 8, where we’ll walk through the updates and share practical tips for building with the Gradient AI Platform.