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  1. Register and renew .ai and .shop domains at cost

    Registrar

    Example search for .ai domains

    Cloudflare Registrar now supports .ai and .shop domains. These are two of our most highly-requested top-level domains (TLDs) and are great additions to the 300+ other TLDs we support ↗.

    Starting today, customers can:

    • Register and renew these domains at cost without any markups or add-on fees
    • Enjoy best-in-class security and performance with native integrations with Cloudflare DNS, CDN, and SSL services like one-click DNSSEC
    • Combat domain hijacking with Custom Domain Protection ↗ (available on enterprise plans)

    We can't wait to see what AI and e-commerce projects you deploy on Cloudflare. To get started, transfer your domains to Cloudflare or search for new ones to register ↗.

  1. Updates to Account Home - Quick actions, traffic insights, Workers projects, and more

    Cloudflare Fundamentals

    Updated Account Home

    Recently, Account Home has been updated to streamline your workflows:

    • Recent Workers projects: You'll now find your projects readily accessible from a new Developer Platform tab on Account Home. See recently-modified projects and explore what you can work our developer-focused products.

    • Traffic and security insights: Get a snapshot of domain performance at a glance with key metrics and trends.

    • Quick actions: You can now perform common actions for your account, domains, and even Workers in just 1-2 clicks from the 3-dot menu.

    • Keep starred domains front and center: Now, when you filter for starred domains on Account Home, we'll save your preference so you'll continue to only see starred domains by default.

    We can't wait for you to take the new Account Home for a spin.

    For more info:

  1. DNS Insights in Cloudflare Radar

    Radar

    Radar has expanded its DNS insights, providing visibility into aggregated traffic and usage trends observed by our 1.1.1.1 DNS resolver. In addition to global, location, and ASN traffic trends, we are also providing perspectives on protocol usage, query/response characteristics, and DNSSEC usage.

    Previously limited to the top locations and ASes endpoints, we have now introduced the following endpoints:

    • timeseries: Retrieves DNS query volume over time.
    • summary: Retrieves summaries of DNS query distribution across ten different dimensions.
    • timeseries_group: Retrieves timeseries data for DNS query distribution across ten different dimensions.

    For the summary and timeseries_groups endpoints, the following dimensions are available, displaying the distribution of DNS queries based on:

    • cache_hit: Cache status (hit vs. miss).
    • dnsssec: DNSSEC support status (secure, insecure, invalid or other).
    • dnsssec_aware: DNSSEC client awareness (aware vs. not-aware).
    • dnsssec_e2e: End-to-end security (secure vs. insecure).
    • ip_version: IP version (IPv4 vs. IPv6).
    • matching_answer: Matching answer status (match vs. no-match).
    • protocol: Transport protocol (UDP, TLS, HTTPS or TCP).
    • query_type: Query type (A, AAAA, PTR, etc.).
    • response_code: Response code (NOERROR, NXDOMAIN, REFUSED, etc.).
    • response_ttl: Response TTL.

    Learn more about the new Radar DNS insights in our blog post ↗, and check out the new Radar page ↗.

  1. New REST API is in open beta!

    Browser Rendering

    We've released a new REST API for Browser Rendering in open beta, making interacting with browsers easier than ever. This new API provides endpoints for common browser actions, with more to be added in the future.

    With the REST API you can:

    • Capture screenshots – Use /screenshot to take a screenshot of a webpage from provided URL or HTML.
    • Generate PDFs – Use /pdf to convert web pages into PDFs.
    • Extract HTML content – Use /content to retrieve the full HTML from a page. Snapshot (HTML + Screenshot) – Use /snapshot to capture both the page's HTML and a screenshot in one request
    • Scrape Web Elements – Use /scrape to extract specific elements from a page.

    For example, to capture a screenshot:

    Screenshot example
    curl -X POST 'https://api.cloudflare.com/client/v4/accounts/<accountId>/browser-rendering/screenshot' \
      -H 'Authorization: Bearer <apiToken>' \
      -H 'Content-Type: application/json' \
      -d '{
        "html": "Hello World!",
        "screenshotOptions": {
          "type": "webp",
          "omitBackground": true
        }
      }' \
      --output "screenshot.webp"

    Learn more in our documentation.

  1. Introducing Guardrails in AI Gateway

    AI Gateway

    AI Gateway now includes Guardrails, to help you monitor your AI apps for harmful or inappropriate content and deploy safely.

    Within the AI Gateway settings, you can configure:

    • Guardrails: Enable or disable content moderation as needed.
    • Evaluation scope: Select whether to moderate user prompts, model responses, or both.
    • Hazard categories: Specify which categories to monitor and determine whether detected inappropriate content should be blocked or flagged.
    Guardrails in AI Gateway

    Learn more in the blog ↗ or our documentation.

  1. Workers AI now supports structured JSON outputs.

    Workers AI

    Workers AI now supports structured JSON outputs with JSON mode, which allows you to request a structured output response when interacting with AI models.

    This makes it much easier to retrieve structured data from your AI models, and avoids the (error prone!) need to parse large unstructured text responses to extract your data.

    JSON mode in Workers AI is compatible with the OpenAI SDK's structured outputs ↗ response_format API, which can be used directly in a Worker:

    import { OpenAI } from "openai";
    

    // Define your JSON schema for a calendar event
    const CalendarEventSchema = {
      type: "object",
      properties: {
        name: { type: "string" },
        date: { type: "string" },
        participants: { type: "array", items: { type: "string" } },
      },
      required: ["name", "date", "participants"],
    };
    

    export default {
      async fetch(request, env) {
        const client = new OpenAI({
          apiKey: env.OPENAI_API_KEY,
          // Optional: use AI Gateway to bring logs, evals & caching to your AI requests
          // https://developers.cloudflare.com/ai-gateway/providers/openai/
          // baseUrl: "https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/openai"
        });
    

        const response = await client.chat.completions.create({
          model: "gpt-4o-2024-08-06",
          messages: [
            { role: "system", content: "Extract the event information." },
            {
              role: "user",
              content: "Alice and Bob are going to a science fair on Friday.",
            },
          ],
          // Use the `response_format` option to request a structured JSON output
          response_format: {
            // Set json_schema and provide ra schema, or json_object and parse it yourself
            type: "json_schema",
            schema: CalendarEventSchema, // provide a schema
          },
        });
    

        // This will be of type CalendarEventSchema
        const event = response.choices[0].message.parsed;
    

        return Response.json({
          calendar_event: event,
        });
      },
    };

    To learn more about JSON mode and structured outputs, visit the Workers AI documentation.

  1. Concurrent Workflow instances limits increased.

    Workflows

    Workflows now supports up to 4,500 concurrent (running) instances, up from the previous limit of 100. This limit will continue to increase during the Workflows open beta. This increase applies to all users on the Workers Paid plan, and takes effect immediately.

    Review the Workflows limits documentation and/or dive into the get started guide to start building on Workflows.

  1. Introducing the agents-sdk

    Agents Workers

    We've released the agents-sdk ↗, a package and set of tools that help you build and ship AI Agents.

    You can get up and running with a chat-based AI Agent ↗ (and deploy it to Workers) that uses the agents-sdk, tool calling, and state syncing with a React-based front-end by running the following command:

    Terminal window
    npm create cloudflare@latest agents-starter -- --template="cloudflare/agents-starter"
    # open up README.md and follow the instructions

    You can also add an Agent to any existing Workers application by installing the agents-sdk package directly

    Terminal window
    npm i agents-sdk

    ... and then define your first Agent:

    import { Agent } from 'agents-sdk';
    

    export class YourAgent extends Agent<Env> {
      // Build it out
      // Access state on this.state or query the Agent's database via this.sql
      // Handle WebSocket events with onConnect and onMessage
      // Run tasks on a schedule with this.schedule
      // Call AI models
      // ... and/or call other Agents.
    }

    Head over to the Agents documentation to learn more about the agents-sdk, the SDK APIs, as well as how to test and deploying agents to production.

  1. Super Slurper now supports migrations from all S3-compatible storage providers

    R2

    Super Slurper can now migrate data from any S3-compatible object storage provider to Cloudflare R2. This includes transfers from services like MinIO, Wasabi, Backblaze B2, and DigitalOcean Spaces.

    Super Slurper S3-Compatible Source

    For more information on Super Slurper and how to migrate data from your existing S3-compatible storage buckets to R2, refer to our documentation.

  1. Bind the Images API to your Worker

    Cloudflare Images

    You can now interact with the Images API directly in your Worker.

    This allows more fine-grained control over transformation request flows and cache behavior. For example, you can resize, manipulate, and overlay images without requiring them to be accessible through a URL.

    The Images binding can be configured in the Cloudflare dashboard for your Worker or in the wrangler.toml file in your project's directory:

    [images]
    binding = "IMAGES" # i.e. available in your Worker on env.IMAGES

    Within your Worker code, you can interact with this binding by using env.IMAGES.

    Here's how you can rotate, resize, and blur an image, then output the image as AVIF:

    ​​const info = await env.IMAGES.info(stream);
    // stream contains a valid image, and width/height is available on the info object
    

    const response = (
    await env.IMAGES.input(stream)
            .transform({ rotate: 90 })
            .transform({ width: 128 })
            .output({ format: "image/avif" })
          ).response();
    

    return response;

    For more information, refer to Images Bindings.