Changelog

Now you can purchase domains with the following top-level domains (TLDs) for even more flexibility when buying and registering a domain through Netlify:

• .place
• .be
• .pl
• .dk
• .co.uk

For help buying a new domain, check out our docs on registering and buying a domain.

For even more help setting up a domain, check out our domains setup wizard.

OpenAI’s latest GPT-5.1 model (gpt-5.1) is now available through Netlify’s AI Gateway. This model brings enhanced performance and efficiency with no additional setup required.

Use the OpenAI SDK directly in your Netlify Functions without managing API keys. The AI Gateway handles authentication, rate limiting, and caching automatically. Here’s an example using the GPT-5.1 model:

import { OpenAI } from "openai";

export default async () => {
  const openai = new OpenAI();

  const response = await openai.chat.completions.create({
    model: "gpt-5.1",
    messages: [
      {
        role: "user",
        content: "Compare GPT-5.1's improvements over GPT-5 Pro"
      }
    ]
  });

  return new Response(JSON.stringify(response), {
    headers: { "Content-Type": "application/json" }
  });
};

The GPT-5.1 model works seamlessly across Edge Functions, Background Functions, and Scheduled Functions. You also get access to Netlify’s advanced caching primitives and built-in rate limiting.

Learn more in the AI Gateway documentation.

React Router 7 apps on Netlify are deployed to Serverless Functions by default. Now, you can choose to deploy your app to Edge Functions instead, bringing your page renders, data loaders, and actions closer to your users while lowering cold start times.

How to use it

1. Ensure you’re on version 7.9.0 or later of React Router:

npm install react-router@latest @react-router/node@latest @react-router/dev@latest

2. Update to the latest version of the Netlify React Router plugin:

npm install @netlify/vite-plugin-react-router@latest

3. Enable the new edge option in your vite.config.ts (or .js):

export default defineConfig({
  plugins: [
    reactRouter(),
    netlifyReactRouter({ edge: true }), // <- deploy to Edge Functions
    netlify(),
  ],
})

4. Finally, create a file at app/entry.server.tsx (or .jsx) containing this single line:

export { default } from 'virtual:netlify-server-entry'

On your next deploy, page renders, loaders, and actions will all run in an edge function.

When to use it

Choose Edge Functions when:

• You need minimal latency for your globally distributed users (edge functions run on the node closest to the user)
• You need to optimize cold starts (initialization is faster with the slim Deno edge runtime)
• Your data loaders and actions make requests to databases and APIs that are also globally distributed, or none at all
• You need to support very large request or response bodies (Serverless Functions have a 6 MB limit)

Choose Serverless Functions when:

• Your data loaders and actions make requests to databases or APIs that are centrally located (canceling out much of the benefit of edge compute)
• Your server-side code is CPU-intensive (Serverless Functions run on more powerful machines)
• You need longer execution times (Functions allow up to 30s clock time, while Edge Functions are limited to 50ms CPU time)
• You cannot use Edge Functions due to their runtime constraints or limitations

Next steps

• Create a new React Router 7 project with our template
• Read the Netlify React Router plugin docs for more details on deploying to the edge

Now when you trigger a deploy from the Netlify UI or with a build hook, you’ll find a linkable Git commit SHA in the Netlify UI that you can open for more information about the changes you deployed.

This allows you to better troubleshoot and understand the code you deployed.

When using the Netlify API, you’ll also find a new commit_ref response parameter that shows your Git commit SHA.

Now you can manually test scheduled functions through your Netlify dashboard.

You can even manually invoke scheduled functions in different contexts where they may not be invoked automatically, such as Deploy Previews.

Now you can revert to a previous agent run session within an Agent Runners task. This allows you to quickly dismiss changes from a new agent run session within the same task.

For example, if your first prompt included instructions for setting up Netlify forms and your second prompt added a phone number field, now you can quickly revert to your first agent run’s set of changes.

To revert to a previous agent run session, the following must be true:

• For a given task, you have more than one agent run session (or we can say you have extended the task with a follow-up prompt)
• No agent runs are still in progress for the task

Learn more about using Agent Runners.

You now have more options for deleting an entire store or individual entries in Netlify blobs. You can also group blob stores by project or deploy in your Netlify dashboard.

Delete with Blobs API

Using the Blobs API, you can use the new deleteAll method:

import { getStore } from "@netlify/blobs";

const uploads = getStore("file-uploads");

const { deletedBlobs } = await uploads.deleteAll();

console.log(`${ deletedBlobs } blobs were 💥`);

Learn more in the Blobs API docs.

Delete and manage in dashboard

From your Netilfy dashboard, you can do the following:

• delete individual entries
• delete entire stores in one go

You can also group blob stores by project or deploy.

Learn more in our Blobs docs.

Our new Preview Server status page lets people in the Publisher and Content Editor roles restart the server without help from other team members, such as Developers.

This allows teams working across time zones or making frequent changes to use the Preview Server seamlessly.

When a Preview Server is stopped, you’ll find a status page with a Restart button, and you’ll be redirected to the preview once the restart is complete.

Learn more about Preview Servers in our docs.

Now you can better understand how your projects are consuming credits when using Netlify’s AI Gateway and/or Agent Runners

For all credit-based plans, you can now find an AI inference usage graph in your Usage and Billing dashboard.

AI inference is a usage meter that measures the costs of using AI models and agents on Netlify. This usage meter calculates costs for using Agent Runners and AI Gateway.

The new AI inference usage graph shows AI provider requests and tokens used across your Netlify team’s projects over time.

To check it out, go to Usage and Billing > Account usage insights > AI inference.

You can also review the docs to learn more about monitoring usage and costs for AI features.

Note that Netlify’s AI Gateway and Agent Runners are only available for credit-based plans.