Auxiliary Workers are now fully supported when using full-stack frameworks, such as React Router and TanStack Start, that integrate with the Cloudflare Vite plugin.
They are included alongside the framework's build output in the build output directory.
Note that this feature requires Vite 7 or above.
Auxiliary Workers are additional Workers that can be called via service bindings from your main (entry) Worker.
They are defined in the plugin config, as in the example below:
The .sql file extension is now automatically configured to be importable in your Worker code when using Wrangler or the Cloudflare Vite plugin.
This is particular useful for importing migrations in Durable Objects and means you no longer need to configure custom rules when using Drizzle ↗︎.
SQL files are imported as JavaScript strings:
// `example` will be a JavaScript stringimport example from "./example.sql";
Cloudflare now provides more accurate visibility into HTTP/3 client request cancellations, giving you better insight into real client behavior and reducing unnecessary load on your origins.
Previously, when an HTTP/3 client cancelled a request, the cancellation was not always actioned immediately. This meant requests could continue through the CDN — potentially all the way to your origin — even after the client had abandoned them. In these cases, logs would show the upstream response status (such as 200 or a timeout-related code) rather than reflecting the client cancellation.
Now, Cloudflare terminates cancelled HTTP/3 requests immediately and accurately logs them with a 499 status code.
Better observability for client behavior
When HTTP/3 clients cancel requests, Cloudflare now immediately reflects this in your logs with a 499 status code. This gives you:
More accurate traffic analysis: Understand exactly when and how often clients cancel requests.
Clearer debugging: Distinguish between true errors and intentional client cancellations.
Better availability metrics: Separate client-initiated cancellations from server-side issues.
Reduced origin load
Cloudflare now terminates cancelled requests faster, which means:
Less wasted compute: Your origin no longer processes requests that clients have already abandoned.
Lower bandwidth usage: Responses are no longer generated and transmitted for cancelled requests.
Improved efficiency: Resources are freed up to handle active requests.
What to expect in your logs
You may notice an increase in 499 status codes for HTTP/3 traffic. For HTTP/3, a 499 indicates the client cancelled the request stream ↗︎ before receiving a complete response — the underlying connection may remain open. This is a normal part of web traffic.
Tip: If you use 499 codes in availability calculations, consider whether client-initiated cancellations should be excluded from error rates. These typically represent normal user behavior — such as closing a browser, navigating away from a page, mobile network drops, or cancelling a download — rather than service issues.
The Network Services menu structure in Cloudflare's dashboard has been updated to reflect solutions and capabilities instead of product names. This will make it easier for you to find what you need and better reflects how our services work together.
Your existing configurations will remain the same, and you will have access to all of the same features and functionality.
A new Overview page provides access to the most common tasks across Magic Transit and Magic WAN.
Product names have been removed from top-level navigation.
Magic Transit and Magic WAN configuration is now organized under Routes and Connectors. For example, you will find IP Prefixes under Routes, and your GRE/IPsec Tunnels under Connectors.
Magic Firewall policies are now called Firewall Policies.
Magic WAN Connectors and Connector On-Ramps are now referenced in the dashboard as Appliances and Appliance profiles. They can be found under Connectors > Appliances.
Network analytics, network health, and real-time analytics are now available under Insights.
Packet Captures are found under Insights > Diagnostics.
You can manage your Sites from Insights > Network health.
You can find Magic Network Monitoring under Insights > Network flow.
If you would like to provide feedback, complete this form ↗︎. You can also find these details in the January 7, 2026 email titled [FYI] Upcoming Network Services Dashboard Navigation Update.
Cloudflare One has expanded its [User Risk Scoring] (/cloudflare-one/insights/risk-score/) capabilities by introducing two new behaviors for organizations using the [CrowdStrike integration] (/cloudflare-one/integrations/service-providers/crowdstrike/).
Administrators can now automatically escalate the risk score of a user if their device matches specific CrowdStrike Zero Trust Assessment (ZTA) score ranges. This allows for more granular security policies that respond dynamically to the health of the endpoint.
New risk behaviors
The following risk scoring behaviors are now available:
CrowdStrike low device score: Automatically increases a user's risk score when the connected device reports a "Low" score from CrowdStrike.
CrowdStrike medium device score: Automatically increases a user's risk score when the connected device reports a "Medium" score from CrowdStrike.
These scores are derived from [CrowdStrike device posture attributes] (/cloudflare-one/integrations/service-providers/crowdstrike/#device-posture-attributes), including OS signals and sensor configurations.
You can now ping the WARP Connector host directly on its LAN IP address immediately after installation. This provides a fast, familiar way to confirm that the Connector is online and reachable within your network before testing access to downstream services.
Starting with version 2025.10.186.0, WARP Connector responds to traffic addressed to its own LAN IP, giving you immediate visibility into Connector reachability.
We've partnered with Black Forest Labs (BFL) again to bring their optimized FLUX.2 [klein] 4B model to Workers AI! This distilled model offers faster generation and cost-effective pricing, while maintaining great output quality. With a fixed 4-step inference process, Klein 4B is ideal for rapid prototyping and real-time applications where speed matters.
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], 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-4b' \ --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-4b", { multipart: { body: formStream, contentType: formContentType, },});
The parameters you can send to the model are detailed here:
JSON Schema for ModelRequired Parameters
prompt (string) - Text description of the image to generate
Optional Parameters
input_image_0 (string) - Binary image
input_image_1 (string) - Binary image
input_image_2 (string) - Binary image
input_image_3 (string) - Binary image
guidance (float) - Guidance scale for generation. Higher values follow the prompt more closely
width (integer) - Width of the image, default 1024 Range: 256-1920
height (integer) - Height of the image, default 768 Range: 256-1920
seed (integer) - Seed for reproducibility
Note: Since this is a distilled model, the steps parameter is fixed at 4 and cannot be adjusted.
## Multi-Reference ImagesThe FLUX.2 klein-4b model supports generating images based on reference images, just like FLUX.2 [dev]. 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`.Note: you have to 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.```bashcurl --request POST \ --url 'https://api.cloudflare.com/client/v4/accounts/{ACCOUNT}/ai/run/@cf/black-forest-labs/flux-2-klein-4b' \ --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 Blobasync 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-4b", { multipart: { body: formStream, contentType: formContentType }})
We have expanded the reporting capabilities of the Cloudflare URL Scanner. In addition to existing JSON and HAR exports, users can now generate and download a PDF report directly from the Cloudflare dashboard.
This update streamlines how security analysts can share findings with stakeholders who may not have access to the Cloudflare dashboard or specialized tools to parse JSON and HAR files.
Key Benefits:
Consolidate scan results, including screenshots, security signatures, and metadata, into a single, portable document
Easily share professional-grade summaries with non-technical stakeholders or legal teams for faster incident response
What’s new:
PDF Export Button: A new download option is available in the URL Scanner results page within the Cloudflare dashboard
Unified Documentation: Access all scan details—from high-level summaries to specific security flags—in one offline-friendly file
This release contains minor fixes, improvements, and new features. New features include the ability to manage WARP client connectivity for all devices in your fleet using an external signal, and a new WARP client device posture check for Antivirus.
Changes and improvements
Added a new feature to manage WARP client connectivity for all devices using an external signal. This feature allows administrators to send a global signal from an on-premises HTTPS endpoint that force disconnects or reconnects all WARP clients in an account based on configuration set on the endpoint.
Fixed an issue that caused occasional audio degradation and increased CPU usage on Windows by optimizing route configurations for large domain-based split tunnel rules.
The Local Domain Fallback feature has been fixed for devices running WARP client version 2025.4.929.0 and newer. Previously, these devices could experience failures with Local Domain Fallback unless a fallback server was explicitly configured. This configuration is no longer a requirement for the feature to function correctly.
Proxy mode now supports transparent HTTP proxying in addition to CONNECT-based proxying.
Fixed an issue where sending large messages to the daemon by Inter-Process Communication (IPC) could cause the daemon to fail and result in service interruptions.
Added support for a new WARP client device posture check for Antivirus. The check confirms the presence of an antivirus program on a Windows device with the option to check if the antivirus is up to date.
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.
This release contains minor fixes, improvements, and new features, including the ability to manage WARP client connectivity for all devices in your fleet using an external signal.
Changes and improvements
The Local Domain Fallback feature has been fixed for devices running WARP client version 2025.4.929.0 and newer. Previously, these devices could experience failures with Local Domain Fallback unless a fallback server was explicitly configured. This configuration is no longer a requirement for the feature to function correctly.
Proxy mode now supports transparent HTTP proxying in addition to CONNECT-based proxying.
Added a new feature to manage WARP client connectivity for all devices using an external signal. This feature allows administrators to send a global signal from an on-premises HTTPS endpoint that force disconnects or reconnects all WARP clients in an account based on configuration set on the endpoint.
This release contains minor fixes, improvements, and new features, including the ability to manage WARP client connectivity for all devices in your fleet using an external signal.
WARP client version 2025.8.779.0 introduced an updated public key for Linux packages. The public key must be updated if it was installed before September 12, 2025 to ensure the repository remains functional after December 4, 2025. Instructions to make this update are available at pkg.cloudflareclient.com.
Changes and improvements
The Local Domain Fallback feature has been fixed for devices running WARP client version 2025.4.929.0 and newer. Previously, these devices could experience failures with Local Domain Fallback unless a fallback server was explicitly configured. This configuration is no longer a requirement for the feature to function correctly.
Proxy mode now supports transparent HTTP proxying in addition to CONNECT-based proxying.
Fixed an issue where the GUI becomes unresponsive when the Re-Authenticate in browser button is clicked.
Added a new feature to manage WARP client connectivity for all devices using an external signal. This feature allows administrators to send a global signal from an on-premises HTTPS endpoint that force disconnects or reconnects all WARP clients in an account based on configuration set on the endpoint.
The wrangler types command now generates TypeScript types for bindings from all environments defined in your Wrangler configuration file by default.
Previously, wrangler types only generated types for bindings in the top-level configuration (or a single environment when using the --env flag). This meant that if you had environment-specific bindings — for example, a KV namespace only in production or an R2 bucket only in staging — those bindings would be missing from your generated types, causing TypeScript errors when accessing them.
Now, running wrangler types collects bindings from all environments and includes them in the generated Env type. This ensures your types are complete regardless of which environment you deploy to.
Generating types for a specific environment
If you want the previous behavior of generating types for only a specific environment, you can use the --env flag:
The Action Log now provides enriched data for post-delivery actions to improve troubleshooting. In addition to success confirmations, failed actions now display the targeted Destination folder and a specific failure reason within the Activity field.
This update allows you to see the full lifecycle of a failed action. For instance, if an administrator tries to move an email that has already been deleted or moved manually, the log will now show the multiple retry attempts and the specific destination error.
The ip.src.metro_code field in the Ruleset Engine is now populated with DMA (Designated Market Area) data.
You can use this field to build rules that target traffic based on geographic market areas, enabling more granular location-based policies for your applications.
Field details
Field
Type
Description
ip.src.metro_code
String | null
The metro code (DMA) of the incoming request's IP address. Returns the designated market area code for the client's location.
We are excited to announce that Cloudflare Threat Events now supports the STIX2 (Structured Threat Information Expression) format. This was a highly requested feature designed to streamline how security teams consume and act upon our threat intelligence.
By adopting this industry-standard format, you can now integrate Cloudflare's threat events data more effectively into your existing security ecosystem.
Key benefits
Eliminate the need for custom parsers, as STIX2 allows for "out of the box" ingestion into major Threat Intel Platforms (TIPs), SIEMs, and SOAR tools.
STIX2 provides a standardized way to represent relationships between indicators, sightings, and threat actors, giving your analysts a clearer picture of the threat landscape.
Wrangler now supports a --check flag for the wrangler types command. This flag validates that your generated types are up to date without writing any changes to disk.
This is useful in CI/CD pipelines where you want to ensure that developers have regenerated their types after making changes to their Wrangler configuration. If the types are out of date, the command will exit with a non-zero status code.
npx wrangler types --check
If your types are up to date, the command will succeed silently. If they are out of date, you'll see an error message indicating which files need to be regenerated.
You can now receive notifications when your Workers' builds start, succeed, fail, or get cancelled using Event Subscriptions.
Workers Builds publishes events to a Queue that your Worker can read messages from, and then send notifications wherever you need — Slack, Discord, email, or any webhook endpoint.
You can deploy this Worker ↗︎ to your own Cloudflare account to send build notifications to Slack:
The template includes:
Build status with Preview/Live URLs for successful deployments
Wrangler now includes built-in shell tab completion support, making it faster and easier to navigate commands without memorizing every option. Press Tab as you type to autocomplete commands, subcommands, flags, and even option values like log levels.
Tab completions are supported for Bash, Zsh, Fish, and PowerShell.
Setup
Generate the completion script for your shell and add it to your configuration file:
After adding the script, restart your terminal or source your configuration file for the changes to take effect. Then you can simply press Tab to see available completions:
Tab completions are dynamically generated from Wrangler's command registry, so they stay up-to-date as new commands and options are added. This feature is powered by @bomb.sh/tab ↗︎.
Workers Analytics Engine allows you to ingest and store high-cardinality data at scale and query your data through a simple SQL API.
Filtering using HAVING
The HAVING clause complements the WHERE clause by enabling you to filter groups based on aggregate values. While WHERE filters rows before aggregation, HAVING filters groups after aggregation is complete.
You can use HAVING to filter groups where the average exceeds a threshold:
SELECT blob1 AS probe_name, avg(double1) AS average_tempFROM temperature_readingsGROUP BY probe_nameHAVING average_temp > 10
You can also filter groups based on aggregates such as the number of items in the group:
SELECT blob1 AS probe_name, count() AS num_readingsFROM temperature_readingsGROUP BY probe_nameHAVING num_readings > 100
Pattern matching using LIKE
The new pattern matching operators enable you to search for strings that match specific patterns using wildcard characters:
LIKE - case-sensitive pattern matching
NOT LIKE - case-sensitive pattern exclusion
ILIKE - case-insensitive pattern matching
NOT ILIKE - case-insensitive pattern exclusion
Pattern matching supports two wildcard characters: % (matches zero or more characters) and _ (matches exactly one character).
You can match strings starting with a prefix:
SELECT *FROM logsWHERE blob1 LIKE 'error%'
You can also match file extensions (case-insensitive):
SELECT *FROM requestsWHERE blob2 ILIKE '%.jpg'
Another example is excluding strings containing specific text:
SELECT *FROM eventsWHERE blob3 NOT ILIKE '%debug%'
Custom instance types are now enabled for all Cloudflare Containers users. You can now specify specific vCPU, memory, and disk amounts, rather than being limited to pre-defined instance types. Previously, only select Enterprise customers were able to customize their instance type.
To use a custom instance type, specify the instance_type property as an object with vcpu, memory_mib, and disk_mb fields in your Wrangler configuration:
Individual limits for custom instance types are based on the standard-4 instance type (4 vCPU, 12 GiB memory, 20 GB disk). You must allocate at least 1 vCPU for custom instance types. For workloads requiring less than 1 vCPU, use the predefined instance types like lite or basic.
You can now deploy microfrontends to Cloudflare, splitting a single application into smaller, independently deployable units that render as one cohesive application. This lets different teams using different frameworks develop, test, and deploy each microfrontend without coordinating releases.
Microfrontends solve several challenges for large-scale applications:
Independent deployments: Teams deploy updates on their own schedule without redeploying the entire application
Framework flexibility: Build multi-framework applications (for example, Astro, Remix, and Next.js in one app)
Gradual migration: Migrate from a monolith to a distributed architecture incrementally
Create a microfrontend project:
This template automatically creates a router worker with pre-configured routing logic, and lets you configure Service bindings to Workers you have already deployed to your Cloudflare account. The router Worker analyzes incoming requests, matches them against configured routes, and forwards requests to the appropriate microfrontend via service bindings. The router automatically rewrites HTML, CSS, and headers to ensure assets load correctly from each microfrontend's mount path. The router includes advanced features like preloading for faster navigation between microfrontends, smooth page transitions using the View Transitions API, and automatic path rewriting for assets, redirects, and cookies.
Each microfrontend can be a full-framework application, a static site with Workers Static Assets, or any other Worker-based application.