Changelog

AI Crawl Control metrics have been enhanced with new views, improved filtering, and better data visualization.

Path pattern grouping

• In the Metrics tab > Most popular paths table, use the new Patterns tab that groups requests by URI pattern (/blog/*, /api/v1/*, /docs/*) to identify which site areas crawlers target most. Refer to the screenshot above.

Enhanced referral analytics

• Destination patterns show which site areas receive AI-driven referral traffic.
• In the Metrics tab, a new Referrals over time chart shows trends by operator or source.

Data transfer metrics

• In the Metrics tab > Allowed requests over time chart, toggle Bytes to show bandwidth consumption.
• In the Crawlers tab, a new Bytes Transferred column shows bandwidth per crawler.

Image exports

• Export charts and tables as images for reports and presentations.

Learn more about analyzing AI traffic.

Get your content updates into AI Search faster and avoid a full rescan when you do not need it.

Updated a file or need to retry one that errored? When you know exactly which file changed, you can now reindex it directly instead of rescanning your entire data source.

Go to Overview > Indexed Items and select the sync icon next to any file to reindex it immediately.

By default, AI Search crawls all sitemaps listed in your robots.txt, up to the maximum files per index limit. If your site has multiple sitemaps but you only want to index a specific set, you can now specify a single sitemap URL to limit what the crawler visits.

For example, if your robots.txt lists both blog-sitemap.xml and docs-sitemap.xml, you can specify just https://example.com/docs-sitemap.xml to index only your documentation.

Configure your selection anytime in Settings > Parsing options > Specific sitemaps, then trigger a sync to apply the changes.

Learn more about indexing controls and website crawling configuration.

Log Explorer now supports multiple concurrent queries with the new Tabs feature. Work with multiple queries simultaneously and pivot between datasets to investigate malicious activity more effectively.

• Multiple tabs: Open and switch between multiple query tabs to compare results across different datasets.
• Quick filtering: Select the filter button from query results to add a value as a filter to your current query.
• Pivot to new tab: Use Cmd + click on the filter button to start a new query tab with that filter applied.
• Preserved progress: Your query progress is preserved on each tab if you navigate away and return.

For more information, refer to the Log Explorer documentation.

R2 SQL now supports five approximate aggregation functions for fast analysis of large datasets. These functions trade minor precision for improved performance on high-cardinality data.

• APPROX_PERCENTILE_CONT(column, percentile) — Returns the approximate value at a given percentile (0.0 to 1.0). Works on integer and decimal columns.
• APPROX_PERCENTILE_CONT_WITH_WEIGHT(column, weight, percentile) — Weighted percentile calculation where each row contributes proportionally to its weight column value.
• APPROX_MEDIAN(column) — Returns the approximate median. Equivalent to APPROX_PERCENTILE_CONT(column, 0.5).
• APPROX_DISTINCT(column) — Returns the approximate number of distinct values. Works on any column type.
• APPROX_TOP_K(column, k) — Returns the k most frequent values with their counts as a JSON array.

All functions support WHERE filters. All except APPROX_TOP_K support GROUP BY.

-- Percentile analysis on revenue data
SELECT approx_percentile_cont(total_amount, 0.25),
       approx_percentile_cont(total_amount, 0.5),
       approx_percentile_cont(total_amount, 0.75)
FROM my_namespace.sales_data

-- Median per department
SELECT department, approx_median(total_amount)
FROM my_namespace.sales_data
GROUP BY department

-- Approximate distinct customers by region
SELECT region, approx_distinct(customer_id)
FROM my_namespace.sales_data
GROUP BY region

-- Top 5 most frequent departments
SELECT approx_top_k(department, 5)
FROM my_namespace.sales_data

-- Combine approximate and standard aggregations
SELECT COUNT(*),
       AVG(total_amount),
       approx_percentile_cont(total_amount, 0.5),
       approx_distinct(customer_id)
FROM my_namespace.sales_data
WHERE region = 'North'

For the full syntax and additional examples, refer to the SQL reference.

The Workers Observability dashboard ↗ has some major updates to make it easier to debug your application's issues and share findings with your team.

You can now:

• Create visualizations — Build charts from your Worker data directly in a Worker's Observability tab
• Export data as JSON or CSV — Download logs and traces for offline analysis or to share with teammates
• Share events and traces — Generate direct URLs to specific events, invocations, and traces that open standalone pages with full context
• Customize table columns — Improved field picker to add, remove, and reorder columns in the events table
• Expandable event details — Expand events inline to view full details without leaving the table
• Keyboard shortcuts — Navigate the dashboard with hotkey support

These updates are now live in the Cloudflare dashboard, both in a Worker's Observability tab and in the account-level Observability dashboard for a unified experience. To get started, go to Workers & Pages > select your Worker > Observability.

New reference documentation is now available for AI Crawl Control:

• GraphQL API reference — Query examples for crawler requests, top paths, referral traffic, and data transfer. Includes key filters for detection IDs, user agents, and referrer domains.
• Bot reference — Detection IDs and user agents for major AI crawlers from OpenAI, Anthropic, Google, Meta, and others.
• Worker templates — Deploy the x402 Payment-Gated Proxy to monetize crawler access or charge bots while letting humans through free.

Cloudflare Queues is now part of the Workers free plan, offering guaranteed message delivery across up to 10,000 queues to either Cloudflare Workers or HTTP pull consumers. Every Cloudflare account now includes 10,000 operations per day across reads, writes, and deletes. For more details on how each operation is defined, refer to Queues pricing ↗.

All features of the existing Queues functionality are available on the free plan, including unlimited event subscriptions. Note that the maximum retention period on the free tier, however, is 24 hours rather than 14 days.

If you are new to Cloudflare Queues, follow this guide ↗ or try one of our tutorials to get started.

Cloudflare Workflows now automatically generates visual diagrams from your code

Your Workflow is parsed to provide a visual map of the Workflow structure, allowing you to:

• Understand how steps connect and execute
• Visualize loops and nested logic
• Follow branching paths for conditional logic

You can collapse loops and nested logic to see the high-level flow, or expand them to see every step.

Workflow diagrams are available in beta for all JavaScript and TypeScript Workflows. Find your Workflows in the Cloudflare dashboard ↗ to see their diagrams.

The latest release of the Agents SDK ↗ brings first-class support for Cloudflare Workflows, synchronous state management, and new scheduling capabilities.

Agents excel at real-time communication and state management. Workflows excel at durable execution. Together, they enable powerful patterns where Agents handle WebSocket connections while Workflows handle long-running tasks, retries, and human-in-the-loop flows.

Use the new AgentWorkflow class to define workflows with typed access to your Agent:

import { AgentWorkflow } from "agents/workflows";

export class ProcessingWorkflow extends AgentWorkflow {
	async run(event, step) {
		// Call Agent methods via RPC
		await this.agent.updateStatus(event.payload.taskId, "processing");

		// Non-durable: progress reporting to clients
		await this.reportProgress({ step: "process", percent: 0.5 });
		this.broadcastToClients({ type: "update", taskId: event.payload.taskId });

		// Durable via step: idempotent, won't repeat on retry
		await step.mergeAgentState({ taskProgress: 0.5 });

		const result = await step.do("process", async () => {
			return processData(event.payload.data);
		});

		await step.reportComplete(result);
		return result;
	}
}

import { AgentWorkflow } from "agents/workflows";
import type { AgentWorkflowEvent, AgentWorkflowStep } from "agents/workflows";

export class ProcessingWorkflow extends AgentWorkflow<MyAgent, TaskParams> {
	async run(event: AgentWorkflowEvent<TaskParams>, step: AgentWorkflowStep) {
		// Call Agent methods via RPC
		await this.agent.updateStatus(event.payload.taskId, "processing");

		// Non-durable: progress reporting to clients
		await this.reportProgress({ step: "process", percent: 0.5 });
		this.broadcastToClients({ type: "update", taskId: event.payload.taskId });

		// Durable via step: idempotent, won't repeat on retry
		await step.mergeAgentState({ taskProgress: 0.5 });

		const result = await step.do("process", async () => {
			return processData(event.payload.data);
		});

		await step.reportComplete(result);
		return result;
	}
}

Start workflows from your Agent with runWorkflow() and handle lifecycle events:

export class MyAgent extends Agent {
	async startTask(taskId, data) {
		const instanceId = await this.runWorkflow("PROCESSING_WORKFLOW", {
			taskId,
			data,
		});
		return { instanceId };
	}

	async onWorkflowProgress(workflowName, instanceId, progress) {
		this.broadcast(JSON.stringify({ type: "progress", progress }));
	}

	async onWorkflowComplete(workflowName, instanceId, result) {
		console.log(`Workflow ${instanceId} completed`);
	}

	async onWorkflowError(workflowName, instanceId, error) {
		console.error(`Workflow ${instanceId} failed:`, error);
	}
}

export class MyAgent extends Agent {
	async startTask(taskId: string, data: string) {
		const instanceId = await this.runWorkflow("PROCESSING_WORKFLOW", {
			taskId,
			data,
		});
		return { instanceId };
	}

	async onWorkflowProgress(
		workflowName: string,
		instanceId: string,
		progress: unknown,
	) {
		this.broadcast(JSON.stringify({ type: "progress", progress }));
	}

	async onWorkflowComplete(
		workflowName: string,
		instanceId: string,
		result?: unknown,
	) {
		console.log(`Workflow ${instanceId} completed`);
	}

	async onWorkflowError(
		workflowName: string,
		instanceId: string,
		error: unknown,
	) {
		console.error(`Workflow ${instanceId} failed:`, error);
	}
}

Key workflow methods on your Agent:

• runWorkflow(workflowName, params, options?) — Start a workflow with optional metadata
• getWorkflow(workflowId) / getWorkflows(criteria?) — Query workflows with cursor-based pagination
• approveWorkflow(workflowId) / rejectWorkflow(workflowId) — Human-in-the-loop approval flows
• pauseWorkflow(), resumeWorkflow(), terminateWorkflow() — Workflow control

State updates are now synchronous with a new validateStateChange() validation hook:

export class MyAgent extends Agent {
	validateStateChange(oldState, newState) {
		// Return false to reject the change
		if (newState.count < 0) return false;
		// Return modified state to transform
		return { ...newState, lastUpdated: Date.now() };
	}
}

export class MyAgent extends Agent<Env, State> {
	validateStateChange(oldState: State, newState: State): State | false {
		// Return false to reject the change
		if (newState.count < 0) return false;
		// Return modified state to transform
		return { ...newState, lastUpdated: Date.now() };
	}
}

The new scheduleEvery() method enables fixed-interval recurring tasks with built-in overlap prevention:

// Run every 5 minutes
await this.scheduleEvery("syncData", 5 * 60 * 1000, { source: "api" });

// Run every 5 minutes
await this.scheduleEvery("syncData", 5 * 60 * 1000, { source: "api" });

• Client-side RPC timeout — Set timeouts on callable method invocations
• StreamingResponse.error(message) — Graceful stream error signaling
• getCallableMethods() — Introspection API for discovering callable methods
• Connection close handling — Pending calls are automatically rejected on disconnect

await agent.call("method", [args], {
	timeout: 5000,
	stream: { onChunk, onDone, onError },
});

await agent.call("method", [args], {
	timeout: 5000,
	stream: { onChunk, onDone, onError },
});

Secure email reply routing — Email replies are now secured with HMAC-SHA256 signed headers, preventing unauthorized routing of emails to agent instances.

Routing improvements:

• basePath option to bypass default URL construction for custom routing
• Server-sent identity — Agents send name and agent type on connect
• New onIdentity and onIdentityChange callbacks on the client

const agent = useAgent({
	basePath: "user",
	onIdentity: (name, agentType) => console.log(`Connected to ${name}`),
});

const agent = useAgent({
	basePath: "user",
	onIdentity: (name, agentType) => console.log(`Connected to ${name}`),
});

To update to the latest version:

npm i agents@latest

For the complete Workflows API reference and patterns, see Run Workflows.

Local Uploads is now available in open beta. Enable it on your R2 bucket to improve upload performance when clients upload data from a different region than your bucket. With Local Uploads enabled, object data is written to storage infrastructure near the client, then asynchronously replicated to your bucket. The object is immediately accessible and remains strongly consistent throughout. Refer to How R2 works for details on how data is written to your bucket.

In our tests, we observed up to 75% reduction in Time to Last Byte (TTLB) for upload requests when Local Uploads is enabled.

This feature is ideal when:

• Your users are globally distributed
• Upload performance and reliability is critical to your application
• You want to optimize write performance without changing your bucket's primary location

To enable Local Uploads on your bucket, find Local Uploads in your bucket settings in the Cloudflare Dashboard ↗, or run:

npx wrangler r2 bucket local-uploads enable <BUCKET_NAME>

Enabling Local Uploads on a bucket is seamless: existing uploads will complete as expected and there’s no interruption to traffic. There is no additional cost to enable Local Uploads. Upload requests incur the standard Class A operation costs same as upload requests made without Local Uploads.

For more information, refer to Local Uploads.

Identifying threat actors can be challenging, because naming conventions often vary across the security industry. To simplify your research, Cloudflare Threat Events now include an Also known as field, providing a list of common aliases and industry-standard names for the groups we track.

This new field is available in both the Cloudflare dashboard and via the API. In the dashboard, you can view these aliases by expanding the event details side panel (under the Attacker field) or by adding it as a column in your configurable table view.

• Easily map Cloudflare-tracked actors to the naming conventions used by other vendors without manual cross-referencing.
• Quickly identify if a detected threat actor matches a group your team is already monitoring via other intelligence feeds.

For more information on how to access this data, refer to the Threat Events API documentation ↗.

We have updated the Monitoring page to provide a more streamlined and insightful experience for administrators, improving both data visualization and dashboard accessibility.

• Enhanced Visual Layout: Optimized contrast and the introduction of stacked bar charts for clearer data visualization and trend analysis.
• Improved Accessibility & Usability:
  • Widget Search: Added search functionality to multiple widgets, including Policies, Submitters, and Impersonation.
  • Actionable UI: All available actions are now accessible via dedicated buttons.
  • State Indicators: Improved UI states to clearly communicate loading, empty datasets, and error conditions.
• Granular Data Breakdowns: New views for dispositions by month, malicious email details, link actions, and impersonations.

This applies to all Email Security packages:

• Advantage
• Enterprise
• Enterprise + PhishGuard

This week’s release introduces new detections for CVE-2025-64459 and CVE-2025-24893.

Key Findings

• CVE-2025-64459: Django versions prior to 5.1.14, 5.2.8, and 4.2.26 are vulnerable to SQL injection via crafted dictionaries passed to QuerySet methods and the Q() class.
• CVE-2025-24893: XWiki allows unauthenticated remote code execution through crafted requests to the SolrSearch endpoint, affecting the entire installation.

The minimum cacheTtl parameter for Workers KV has been reduced from 60 seconds to 30 seconds. This change applies to both get() and getWithMetadata() methods.

This reduction allows you to maintain more up-to-date cached data and have finer-grained control over cache behavior. Applications requiring faster data refresh rates can now configure cache durations as low as 30 seconds instead of the previous 60-second minimum.

The cacheTtl parameter defines how long a KV result is cached at the global network location it is accessed from:

// Read with custom cache TTL
const value = await env.NAMESPACE.get("my-key", {
	cacheTtl: 30, // Cache for minimum 30 seconds (previously 60)
});

// getWithMetadata also supports the reduced cache TTL
const valueWithMetadata = await env.NAMESPACE.getWithMetadata("my-key", {
	cacheTtl: 30, // Cache for minimum 30 seconds
});

The default cache TTL remains unchanged at 60 seconds. Upgrade to the latest version of Wrangler to be able to use 30 seconds cacheTtl.

This change affects all KV read operations using the binding API. For more information, consult the Workers KV cache TTL documentation.

Magic WAN and Magic Transit customers can use the Cloudflare dashboard to configure and manage BGP peering between their networks and their Magic routing table when using IPsec and GRE tunnel on-ramps (beta).

Using BGP peering allows customers to:

• Automate the process of adding or removing networks and subnets.
• Take advantage of failure detection and session recovery features.

With this functionality, customers can:

• Establish an eBGP session between their devices and the Magic WAN / Magic Transit service when connected via IPsec and GRE tunnel on-ramps.
• Secure the session by MD5 authentication to prevent misconfigurations.
• Exchange routes dynamically between their devices and their Magic routing table.

For configuration details, refer to:

• Configure BGP routes for Magic WAN
• Configure BGP routes for Magic Transit

We have partnered with Black Forest Labs (BFL) again to bring their optimized FLUX.2 [klein] 9B model to Workers AI. This distilled model offers enhanced quality compared to the 4B variant, while maintaining cost-effective pricing. With a fixed 4-step inference process, Klein 9B is ideal for rapid prototyping and real-time applications where both speed and quality matter.

Read the BFL blog ↗ to learn more about the model itself, or try it out yourself on our multi modal playground ↗.

Pricing documentation is available on the model page or pricing page.

The model hosted on Workers AI is optimized for speed with a fixed 4-step inference process and supports up to 4 image inputs. Since this is a distilled model, the steps parameter is fixed at 4 and cannot be adjusted. Like FLUX.2 [dev] and FLUX.2 [klein] 4B, this image model uses multipart form data inputs, even if you just have a prompt.

With the REST API, the multipart form data input looks like this:

curl --request POST \
  --url 'https://api.cloudflare.com/client/v4/accounts/{ACCOUNT}/ai/run/@cf/black-forest-labs/flux-2-klein-9b' \
  --header 'Authorization: Bearer {TOKEN}' \
  --header 'Content-Type: multipart/form-data' \
  --form 'prompt=a sunset at the alps' \
  --form width=1024 \
  --form height=1024

With the Workers AI binding, you can use it as such:

const form = new FormData();
form.append("prompt", "a sunset with a dog");
form.append("width", "1024");
form.append("height", "1024");

// FormData doesn't expose its serialized body or boundary. Passing it to a
// Request (or Response) constructor serializes it and generates the Content-Type
// header with the boundary, which is required for the server to parse the multipart fields.
const formResponse = new Response(form);
const formStream = formResponse.body;
const formContentType = formResponse.headers.get('content-type');

const resp = await env.AI.run("@cf/black-forest-labs/flux-2-klein-9b", {
	multipart: {
		body: formStream,
		contentType: formContentType,
	},
});

The parameters you can send to the model are detailed here:

The FLUX.2 klein-9b model supports generating images based on reference images, just like FLUX.2 [dev] and FLUX.2 [klein] 4B. You can use this feature to apply the style of one image to another, add a new character to an image, or iterate on past generated images. You would use it with the same multipart form data structure, with the input images in binary. The model supports up to 4 input images.

For the prompt, you can reference the images based on the index, like take the subject of image 1 and style it like image 0 or even use natural language like place the dog beside the woman.

You must name the input parameter as input_image_0, input_image_1, input_image_2, input_image_3 for it to work correctly. All input images must be smaller than 512x512.

curl --request POST \
  --url 'https://api.cloudflare.com/client/v4/accounts/{ACCOUNT}/ai/run/@cf/black-forest-labs/flux-2-klein-9b' \
  --header 'Authorization: Bearer {TOKEN}' \
  --header 'Content-Type: multipart/form-data' \
  --form 'prompt=take the subject of image 1 and style it like image 0' \
  --form input_image_0=@/Users/johndoe/Desktop/icedoutkeanu.png \
  --form input_image_1=@/Users/johndoe/Desktop/me.png \
  --form width=1024 \
  --form height=1024

Through Workers AI Binding:

//helper function to convert ReadableStream to Blob
async function streamToBlob(stream: ReadableStream, contentType: string): Promise<Blob> {
  const reader = stream.getReader();
  const chunks = [];

  while (true) {
    const { done, value } = await reader.read();
    if (done) break;
    chunks.push(value);
  }

  return new Blob(chunks, { type: contentType });
}

const image0 = await fetch("http://image-url");
const image1 = await fetch("http://image-url");
const form = new FormData();

const image_blob0 = await streamToBlob(image0.body, "image/png");
const image_blob1 = await streamToBlob(image1.body, "image/png");
form.append('input_image_0', image_blob0)
form.append('input_image_1', image_blob1)
form.append('prompt', 'take the subject of image 1 and style it like image 0')

// FormData doesn't expose its serialized body or boundary. Passing it to a
// Request (or Response) constructor serializes it and generates the Content-Type
// header with the boundary, which is required for the server to parse the multipart fields.
const formResponse = new Response(form);
const formStream = formResponse.body;
const formContentType = formResponse.headers.get('content-type');

const resp = await env.AI.run("@cf/black-forest-labs/flux-2-klein-9b", {
    multipart: {
        body: formStream,
        contentType: formContentType
    }
})

A new Beta release for the Windows WARP client is now available on the beta releases downloads page.

This release contains minor fixes, improvements, and new features.

Changes and improvements

• Improvements to multi-user mode. Fixed an issue where when switching from a pre-login registration to a user registration, Mobile Device Management (MDM) configuration association could be lost.
• Added a new feature to manage NetBIOS over TCP/IP functionality on the Windows client. NetBIOS over TCP/IP on the Windows client is now disabled by default and can be enabled in device profile settings.
• Fixed an issue causing failure of the local network exclusion feature when configured with a timeout of 0.
• Improvement for the Windows client certificate posture check to ensure logged results are from checks that run once users log in.
• Improvement for more accurate reporting of device colocation information in the Cloudflare One dashboard.

Known issues

• For Windows 11 24H2 users, Microsoft has confirmed a regression that may lead to performance issues like mouse lag, audio cracking, or other slowdowns. Cloudflare recommends users experiencing these issues upgrade to a minimum Windows 11 24H2 KB5062553 or higher for resolution.

• Devices with KB5055523 installed may receive a warning about Win32/ClickFix.ABA being present in the installer. To resolve this false positive, update Microsoft Security Intelligence to version 1.429.19.0 or later.

• DNS resolution may be broken when the following conditions are all true:

  • WARP is in Secure Web Gateway without DNS filtering (tunnel-only) mode.
  • A custom DNS server address is configured on the primary network adapter.
  • The custom DNS server address on the primary network adapter is changed while WARP is connected.

  To work around this issue, reconnect the WARP client by toggling off and back on.

A new Beta release for the macOS WARP client is now available on the beta releases downloads page.

This release contains minor fixes and improvements.

Changes and improvements

• Fixed an issue causing failure of the local network exclusion feature when configured with a timeout of 0.
• Improvement for more accurate reporting of device colocation information in the Cloudflare One dashboard.

Cloudflare source IPs are the IP addresses used by Cloudflare services (such as Load Balancing, Gateway, and Browser Isolation) when sending traffic to your private networks.

For customers using legacy mode routing, traffic to private networks is sourced from public Cloudflare IPs, which may cause IP conflicts. For customers using Unified Routing mode (beta), traffic to private networks is sourced from dedicated, non-Internet-routable private IPv4 range to ensure:

• Symmetric routing over private network connections
• Proper firewall state preservation
• Private traffic stays on secure paths

Key details:

• IPv4: Sourced from 100.64.0.0/12 by default, configurable to any /12 CIDR
• IPv6: Sourced from 2606:4700:cf1:5000::/64 (not configurable)
• Affected connectors: GRE, IPsec, CNI, WARP Connector, and WARP Client (Cloudflare Tunnel is not affected)

Configuring Cloudflare source IPs requires Unified Routing (beta) and the Cloudflare One Networks Write permission.

For configuration details, refer to Configure Cloudflare source IPs.

You can now set the timezone in the Cloudflare dashboard as Coordinated Universal Time (UTC) or your browser or system's timezone.

Unless otherwise specified in the user interface, all dates and times in the Cloudflare dashboard are now displayed in the selected timezone.

You can change the timezone setting from the user profile dropdown.

The page will reload to apply the new timezone setting.

You can now control how Cloudflare buffers HTTP request and response bodies using two new settings in Configuration Rules.

Controls how Cloudflare buffers HTTP request bodies before forwarding them to your origin server:

Controls how Cloudflare buffers HTTP response bodies before forwarding them to the client:

{
  "action": "set_config",
  "action_parameters": {
    "request_body_buffering": "standard",
    "response_body_buffering": "none"
  }
}

For more information, refer to Configuration Rules.

This week’s release introduces new detections for denial-of-service attempts targeting React CVE-2026-23864 (https://www.cve.org/CVERecord?id=CVE-2026-23864 ↗).

Key Findings

• CVE-2026-23864 (https://www.cve.org/CVERecord?id=CVE-2026-23864 ↗) affects react-server-dom-parcel, react-server-dom-turbopack, and react-server-dom-webpack packages.
• Attackers can send crafted HTTP requests to Server Function endpoints, causing server crashes, out-of-memory exceptions, or excessive CPU usage.

In an effort to improve overall user security, users without 2FA will be prompted upon login to enroll in email 2FA. This will improve user security posture while minimizing friction. Users without email 2FA enabled will see a prompt to secure their account with additional factors upon logging in. Enrolling in 2FA remains optional, but strongly encouraged as it is the best way to prevent account takeovers.

We also made changes to existing 2FA screens to improve the user experience. Now we have distinct experiences for each 2FA factor type, reflective of the way that factor works.

• Configure Email Two Factor Authentication

Paid plans can now have up to 100,000 files per Pages site, increased from the previous limit of 20,000 files.

To enable this increased limit, set the environment variable PAGES_WRANGLER_MAJOR_VERSION=4 in your Pages project settings.

The Free plan remains at 20,000 files per site.

For more details, refer to the Pages limits documentation.

You can now store up to 10 million vectors in a single Vectorize index, doubling the previous limit of 5 million vectors. This enables larger-scale semantic search, recommendation systems, and retrieval-augmented generation (RAG) applications without splitting data across multiple indexes.

Vectorize continues to support indexes with up to 1,536 dimensions per vector at 32-bit precision. Refer to the Vectorize limits documentation for complete details.