You can now share local dev sessions through Cloudflare Tunnel and get a public URL when using either Wrangler or the Cloudflare Vite plugin. This is useful when you need to share a preview, test a webhook, or access your app from another device.
This lets you either:
start a temporary Quick tunnel with a random *.trycloudflare.com hostname, or
To start a tunnel, press t in Wrangler or t + Enter in Vite while your dev server is running. For details on setting up a named tunnel, refer to Share a local dev server.
You can now view the size of your Hyperdrive database connection pools, giving you the ability to self-diagnose connection issues. Using the Cloudflare dashboard or the hyperdrivePoolSizesAdaptiveGroups dataset in the GraphQL Analytics API, you can see waitingClients, currentPoolSize, availablePoolSlots, and maxPoolSize for each of your configurations.
A new Pool connections chart has been added to the Metrics tab of each Hyperdrive configuration in the Cloudflare dashboard ↗. You can use the location selector to drill down into specific locations hosting your connection pool by airport code.
The chart shows:
Waiting clients: Client requests waiting for an available connection.
Open connections: Active connections to your database.
Pool size maximum: Your configured origin connection limit.
Connection contention appears as a spike in waiting clients, or when open connections consistently approach the pool size maximum. If your open connections regularly approach this limit, consider contacting Cloudflare to increase your Hyperdrive connection limit.
Pool size metrics
The hyperdrivePoolSizesAdaptiveGroups dataset in the GraphQL Analytics API exposes the following key connection pool metrics for each Hyperdrive configuration:
Under avg:
currentPoolSize — Average number of connections currently open in the pool.
availablePoolSlots — Average number of pool connections available for checkout.
waitingClients — Average number of clients waiting for a connection from the pool.
Under max:
maxPoolSize — Configured maximum size of the connection pool.
currentPoolSize — Peak number of connections open in the pool.
waitingClients — Peak number of clients waiting for a connection from the pool.
R2 SQL is Cloudflare's serverless, distributed SQL engine for querying Apache Iceberg ↗ tables stored in R2 Data Catalog. R2 SQL runs directly on Cloudflare's global network with no infrastructure to manage, so you can analyze data in R2 without exporting it to an external warehouse.
R2 SQL now supports joining multiple Iceberg tables in a single query. You can combine tables with JOINs, filter with subqueries, and define multi-table CTEs to build complex analytical queries.
New capabilities
JOINs — INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN, CROSS JOIN, and implicit joins (comma-separated FROM with conditions in WHERE)
Subqueries — IN / NOT IN, EXISTS / NOT EXISTS, scalar subqueries in SELECT / WHERE / HAVING, and derived tables (subqueries in FROM)
Multi-table CTEs — WITH clauses can reference different tables and include JOINs
Self-joins — join a table with itself using different aliases
Multi-way joins — join three or more tables in a single query
Examples
Two-table JOIN with aggregation
SELECT z.domain, z.plan, COUNT(*) AS request_countFROM my_namespace.zones zINNER JOIN my_namespace.http_requests h ON z.zone_id = h.zone_idWHERE z.plan = 'enterprise'GROUP BY z.domain, z.planORDER BY request_count DESCLIMIT 20
EXISTS subquery
SELECT z.domain, z.planFROM my_namespace.zones zWHERE EXISTS ( SELECT 1 FROM my_namespace.firewall_events f WHERE f.zone_id = z.zone_id AND f.action = 'block')ORDER BY z.domainLIMIT 20
Multi-table CTE with JOIN
WITH top_zones AS ( SELECT zone_id, COUNT(*) AS req_count FROM my_namespace.http_requests GROUP BY zone_id ORDER BY req_count DESC LIMIT 50),zone_threats AS ( SELECT zone_id, COUNT(*) AS threat_count FROM my_namespace.firewall_events WHERE risk_score > 0.5 GROUP BY zone_id)SELECT tz.zone_id, tz.req_count, COALESCE(zt.threat_count, 0) AS threat_countFROM top_zones tzLEFT JOIN zone_threats zt ON tz.zone_id = zt.zone_idORDER BY tz.req_count DESCLIMIT 20
In your Worker's dashboard, there is now a dedicated Domains tab where you can purchase a new domain through Cloudflare Registrar and have it automatically connected, add an existing domain, and manage all of your Worker's routing in one place.
The latest release of the Agents SDK ↗ brings more reliable chat recovery, fixes Agent state synchronization during reconnects, adds durable submissions for Think, exposes routing retry configuration, and adds connection control for Voice agents.
Chat recovery improvements
@cloudflare/ai-chat now keeps server turns running when a browser or client stream is interrupted. This is useful for long-running AI responses where users refresh the page, close a tab, or temporarily lose connection. Calling stop() still cancels the server turn.
Set cancelOnClientAbort: true if browser or client aborts should also cancel the server turn:
Chat stream resume negotiation no longer throws when replay races with a closed WebSocket connection.
Recovered chat continuations no longer leave useAgentChat stuck in a streaming state when the original socket disconnects before a terminal response.
Approval auto-continuation preserves reasoning parts and persists continuation reasoning in the final message.
isServerStreaming now resets correctly when a resumed stream moves from the fallback observer path to a transport-owned stream.
Agent state and routing fixes
agents@0.12.4 prevents duplicate initial state frames during WebSocket connection setup. This avoids stale initial state messages overwriting state updates already sent by the client.
Agent recovery is also more reliable when tool calls span a Durable Object restart. Recovery now defers user finish hooks until after agent startup and isolates hook failures, so one failed hook does not block other recovered runs from finalizing.
getAgentByName() now supports routingRetry for transient Durable Object routing failures:
@cloudflare/think now supports durable programmatic submissions. submitMessages() provides durable acceptance, idempotent retries, status inspection, cancellation, and cleanup for server-driven turns that should continue after the caller returns.
Think.chat() RPC turns now run inside chat recovery fibers and persist their stream chunks. Interrupted sub-agent turns can recover partial output instead of starting over.
ChatOptions.tools has been removed from the TypeScript API. Define durable tools on the child agent or use agent tools for orchestration. Runtime options.tools values passed by legacy callers are ignored with a warning.
Think message pruning behavior change
@cloudflare/think no longer applies pruneMessages({ toolCalls: "before-last-2-messages" }) to model context by default. The previous default could strip client-side tool results from longer multi-turn flows.
truncateOlderMessages still runs as before, so context cost remains bounded. Subclasses that relied on the old aggressive pruning can opt back in from beforeTurn:
import { Think } from "@cloudflare/think";import { pruneMessages } from "ai";export class MyAgent extends Think { beforeTurn(ctx) { return { messages: pruneMessages({ messages: ctx.messages, toolCalls: "before-last-2-messages", }), }; }}
import { Think } from "@cloudflare/think";import { pruneMessages } from "ai";export class MyAgent extends Think<Env> { beforeTurn(ctx) { return { messages: pruneMessages({ messages: ctx.messages, toolCalls: "before-last-2-messages", }), }; }}
Voice agent connection control
@cloudflare/voice adds an enabled option to useVoiceAgent. React apps can now delay creating and connecting a VoiceClient until prerequisites such as capability tokens are ready.
This release also fixes Workers AI speech-to-text session edge cases and withVoice text streaming from AI SDK textStream responses.
Other improvements
Streamable HTTP routing — Server-to-client requests now route through the originating POST stream when no standalone SSE stream is available.
Structured tool output — Tool output shapes are preserved when truncating older messages or oversized persisted rows.
Non-chat Think tool steps — Think agent-tool children can complete without emitting assistant text and can return structured output through getAgentToolOutput.
Sub-agent schedules — Stale sub-agent schedule rows are pruned when their owning facet registry entry no longer exists.
@cloudflare/codemode — Adds a browser-safe export with an iframe sandbox executor and resolves OpenAPI specs inside the sandbox to avoid Worker Loader RPC size limits.
Upgrade
To update to the latest version:
npm i agents@latest @cloudflare/ai-chat@latest @cloudflare/think@latest @cloudflare/voice@latest
The /cdn-cgi/rum beacon endpoint now returns 405 Method Not Allowed for non-POST requests instead of 404 Not Found. The response includes an Allow: POST, OPTIONS header per RFC 9110 §15.5.6 ↗.
Previously, sending a GET or other non-POST request to this endpoint returned a 404, which was misleading because it suggested the endpoint did not exist. The new 405 response clearly indicates that the endpoint exists but only accepts POST requests.
The Web Analytics beacon (beacon.min.js) already uses POST for all metric submissions, so this change does not affect normal beacon operation. OPTIONS requests for CORS preflight continue to work as before.
SSH through Wrangler is now enabled by default for Containers. Previously, you had to set ssh.enabled to true in your Container configuration before you could connect.
This change does not expose any publicly accessible ports on your Container. The SSH service is reachable only through wrangler containers ssh, which authenticates against your Cloudflare account. You also need to add an ssh-ed25519 public key to authorized_keys before anyone can connect, so enabling SSH alone does not grant access.
To connect, add a public key to your Container configuration and run wrangler containers ssh <INSTANCE_ID>:
R2 Data Catalog is a managed Apache Iceberg data catalog built directly into your R2 bucket that allows you to connect query engines like R2 SQL, Spark, Snowflake, and DuckDB to your data in R2.
You can now query analytics for your R2 Data Catalog warehouses via Cloudflare's GraphQL Analytics API. Two new datasets are available:
r2CatalogDataOperationsAdaptiveGroups tracks Iceberg REST API requests made to your catalog, including operation type, request duration, HTTP status, and request body bytes. Use this to monitor request volume and latency across warehouses, namespaces, and tables.
r2CatalogTableMaintenanceAdaptiveGroups tracks table maintenance jobs such as compaction and snapshot expiration. Use this to monitor job success rates, files processed, bytes read and written, and job duration.
Both datasets support filtering by warehouse name, namespace, table name, and time range. They also include percentile aggregations for duration metrics.
We are refreshing the Workers AI model catalog to make room for newer releases. Please update your apps to remove references to the models listed below before the deprecation date.
Recommended replacements
@cf/zai-org/glm-4.7-flash — fast multilingual model with multi-turn tool calling and coding capabilities.
We originally stated Kimi K2.5 would be deprecated on May 10, 2026, however we have extended the deprecation date to May 30, 2026. Requests will be automatically aliased to Kimi K2.6 on May 30, 2026, which has a higher price. Please review the @cf/moonshotai/kimi-k2.6 pricing and model capabilities prior to May 30, 2026 to ensure that the model suits your needs.
The -fast and -lora variants of models will remain active, including:
@cf/meta/llama-3.3-70b-instruct-fp8-fast
@cf/meta/llama-3.1-8b-instruct-fast
@cf/google/gemma-7b-it-lora
@cf/google/gemma-2b-it-lora
@cf/mistral/mistral-7b-instruct-v0.2-lora
@cf/meta-llama/llama-2-7b-chat-hf-lora
LoRA models may be deprecated in the future. We will be adding more LoRA capabilities to the catalog, and will communicate when new LoRA models come online to give users time to train new LoRAs before we deprecate old ones.
Multiple security vulnerabilities were disclosed by the React team and Vercel affecting React Server Components and Next.js. These include denial of service, middleware and proxy bypass, server-side request forgery, cross-site scripting, and cache poisoning issues across a range of severity levels.
We strongly recommend updating your application and its dependencies immediately. Patched versions are available for React (react-server-dom-webpack, react-server-dom-parcel, and react-server-dom-turbopack19.0.6, 19.1.7, and 19.2.6) and Next.js (15.5.16 and 16.2.5).
WAF protections
Cloudflare WAF rules deployed in response to prior React Server Component CVEs (CVE-2025-55184 ↗ and CVE-2026-23864 ↗) already provide coverage for the newly disclosed denial-of-service vulnerabilities. These rules are enabled by default with a Block action for all customers using the Cloudflare Managed Ruleset, including Free plan customers using the Free Managed Ruleset.
The existing rules detect the underlying attack patterns generically. As a result, they apply to the new CVE-2026-23870 ↗ denial-of-service vulnerability in Server Components and the corresponding Next.js advisory GHSA-8h8q-6873-q5fj ↗.
Cloudflare is investigating whether WAF rules can be safely and effectively deployed for three of the high-severity advisories: CVE-2026-23870 ↗ / GHSA-8h8q-6873-q5fj ↗, GHSA-267c-6grr-h53f ↗, and GHSA-mg66-mrh9-m8jx ↗. If it is possible to create a managed WAF rule that mitigates these CVEs and does not potentially break application behavior, Cloudflare will add additional managed WAF rules. These rules will be announced through the WAF changelog. Because these vulnerabilities were shared with Cloudflare with minimal advance notice, we are still investigating what WAF mitigations are possible.
Several of the disclosed vulnerabilities are not possible to block in WAF. We strongly recommend updating your applications so they are not purely reliant on WAF mitigations.
Vinext:Vinext ↗ is a Vite plugin that reimplements the Next.js API surface. Vinext's latest release is not vulnerable to any of the disclosed CVEs. Vinext's architecture differs from stock Next.js in ways that sidestep the affected code paths. For example, it does not implement the PPR resume protocol, does not expose Pages Router data-route endpoints, and strips internal headers such as x-nextjs-data at request boundaries. As an extra layer of defense, we added a React 19.2.6 or later requirement when running vinext init (PR #1118 ↗, PR #1112 ↗) to prevent accidentally running a vulnerable version of React with Vinext.
OpenNext on Cloudflare: OpenNext is an adapter that lets you deploy Next.js apps to the Cloudflare Workers platform. OpenNext itself is not directly vulnerable to the React denial-of-service CVE, but users must update the Next.js version in their application. The OpenNext team has updated the adapter to further harden against these vectors and released a new version of the Cloudflare adapter. Test fixtures and examples have been updated to use patched versions (PR #1255 ↗).
You can now interact with your Stream video library using new bindings for Workers! This allows customers to upload content to Stream, provision direct uploads, manage videos, and generate signed URLs from a Worker without making authenticated API calls. We're excited to bring Stream and Workers closer together to empower more programmatic pipelines, tighter integrations, and support generative AI and inference workloads.
Use the Stream binding when you want to:
Upload videos from URLs or create basic direct upload links for end users
Generate signed playback tokens without managing signing keys
Manage video metadata, captions, downloads, and watermarks
Build video pipelines entirely within Workers
To get started, add the Stream binding to your Wrangler configuration:
Generate a video with AI and upload directly to Stream or send a URL of a file you already have:
const aiResponse = await env.AI.run( "google/veo-3.1", { prompt: "A dog walking next to a river", duration: "10s", aspect_ratio: "16:9", resolution: "1080p", generate_audio: true, }, { gateway: { id: "experiments" }, },);// Veo will return a URL of the generated asset.const videoUrl = aiResponse.result.video;// Alternative option: a video of the Austin Office mobile// const videoUrl = 'https://pub-d9fcbc1abcd244c1821f38b99017347f.r2.dev/aus-mobile.mp4';// Upload to Stream by providing a URLconst streamVideo = await env.STREAM.upload(videoUrl);// The streamVideo response will include the video ID, playback and manifest// URLs, and other information, just like the REST API.
const aiResponse = await env.AI.run( 'google/veo-3.1', { prompt: 'A dog walking next to a river', duration: '10s', aspect_ratio: '16:9', resolution: '1080p', generate_audio: true, }, { gateway: { id: 'experiments' }, },);// Veo will return a URL of the generated asset.const videoUrl = aiResponse.result.video;// Alternative option: a video of the Austin Office mobile// const videoUrl = 'https://pub-d9fcbc1abcd244c1821f38b99017347f.r2.dev/aus-mobile.mp4';// Upload to Stream by providing a URLconst streamVideo = await env.STREAM.upload(videoUrl);// The streamVideo response will include the video ID, playback and manifest// URLs, and other information, just like the REST API.
Generate a signed URL without using a signing key or an API call:
const video_id = "ce800be43a9772f4bb02f35b860fb516";const token = await env.STREAM.video(video_id).generateToken();// Use the "token" in an iframe embed code, manifest URL, or thumbnail:const embedUrl = `https://customer-igynxd2rwhmuoxw8.cloudflarestream.com/${token}/iframe`;
const video_id = 'ce800be43a9772f4bb02f35b860fb516';const token = await env.STREAM.video(video_id).generateToken();// Use the "token" in an iframe embed code, manifest URL, or thumbnail:const embedUrl = `https://customer-igynxd2rwhmuoxw8.cloudflarestream.com/${token}/iframe`;
For setup instructions and the full API reference, refer to Bind to Workers API.
Get started with your Agent
Add a binding for Cloudflare Stream (env.STREAM). On the watch page, use the
Stream binding to get info based on the ID, and leverage video.meta.name as
the page title.
You can now get a single unified trace across Worker-to-Worker subrequests, with trace context propagating automatically. Previously, automatic tracing produced disconnected traces when a Worker called another Worker through a service binding or Durable Object.
This means you can:
Follow a request through your entire Worker architecture in one trace view
See service binding and Durable Object calls as nested child spans instead of separate traces
Debug cross-Worker request flows in the Cloudflare dashboard or in an external observability platform via OpenTelemetry
Up next, we are working on external trace context propagation using W3C Trace Context standards ↗, which will allow traces from your Workers to link with traces from services outside of Cloudflare.
Cloudflare Pipelines ingests streaming data via Workers or HTTP endpoints, transforms it with SQL, and writes it to R2 as Apache Iceberg tables. R2 Data Catalog manages those Iceberg tables, compaction, and compatibility with query engines like R2 SQL, Spark, and DuckDB.
This adds four new resources that let you define your entire data pipeline as infrastructure-as-code: a data catalog, a stream for ingestion, a sink that writes to R2 Data Catalog or R2, and a pipeline that connects them with SQL.
Here is a minimal example that creates a stream, an R2 Data Catalog sink, and a pipeline:
resource "cloudflare_pipeline_stream" "my_stream" { account_id = var.cloudflare_account_id name = "my_stream" format = { type = "json" } schema = { fields = [{ name = "value" type = "json" required = true }] } http = { enabled = true, authentication = false, cors = {} } worker_binding = { enabled = false }}resource "cloudflare_pipeline_sink" "my_sink" { account_id = var.cloudflare_account_id name = "my_sink" type = "r2_data_catalog" format = { type = "parquet" } schema = { fields = [] } config = { account_id = var.cloudflare_account_id bucket = "my-pipeline-bucket" table_name = "my_table" token = var.catalog_token }}resource "cloudflare_pipeline" "my_pipeline" { account_id = var.cloudflare_account_id name = "my_pipeline" sql = "INSERT INTO ${cloudflare_pipeline_sink.my_sink.name} SELECT * FROM ${cloudflare_pipeline_stream.my_stream.name}"}
For a full end-to-end example that includes R2 bucket creation, data catalog setup, and scoped API token provisioning, refer to the Pipelines Terraform documentation.
The Worker Loader loads Dynamic Workers on demand, which previously made durability challenging. Even within a Dynamic Worker, a Workflow might sleep for hours or days between steps, and by the time it resumes, the original Dynamic Worker code would no longer be in memory.
The library solves this by tagging each Workflow instance with metadata that identifies which Dynamic Worker to load — for example, a tenant ID — then reloading the matching Dynamic Worker through the Worker Loader whenever a Workflow awakens.
Because Dynamic Workers are created on-demand, you do not have to register each Workflow up front or manage them individually. Load the Workflow code in the Dynamic Worker when it is needed, and the Workflows engine handles persistence and retries behind the scenes. Your Workflow code itself is unaffected by the routing and behaves as normal.
This unlocks patterns where the Workflow code itself is dynamic. For example, this is useful with:
SaaS platforms where each tenant defines their own automation, such as onboarding sequences, approval chains, or billing retry logic.
AI agent frameworks where agents generate and execute multi-step plans at runtime, surviving restarts and waiting for human approval between tool calls.
Multi-tenant job systems where each customer submits their own processing logic and every step persists progress and retries on failure.
import { createDynamicWorkflowEntrypoint, DynamicWorkflowBinding, wrapWorkflowBinding, type WorkflowRunner,} from "@cloudflare/dynamic-workflows";export { DynamicWorkflowBinding };interface Env { WORKFLOWS: Workflow; LOADER: WorkerLoader;}function loadTenant(env: Env, tenantId: string) { return env.LOADER.get(tenantId, async () => ({ compatibilityDate: "2026-01-01", mainModule: "index.js", modules: { "index.js": await fetchTenantCode(tenantId) }, // The Dynamic Worker uses this exactly like a real Workflow binding; // every create() is tagged with { tenantId } automatically. env: { WORKFLOWS: wrapWorkflowBinding({ tenantId }) }, }));}// The entrypoint name must match `class_name` in the workflows binding of your Wrangler config file.export const DynamicWorkflow = createDynamicWorkflowEntrypoint<Env>( async ({ env, metadata }) => { const stub = loadTenant(env, metadata.tenantId as string); return stub.getEntrypoint("TenantWorkflow") as unknown as WorkflowRunner; },);export default { fetch(request: Request, env: Env) { const tenantId = request.headers.get("x-tenant-id")!; return loadTenant(env, tenantId).getEntrypoint().fetch(request); },};
This is a major version release that includes breaking changes to three packages: ai_search, email_security, and workers. These changes reflect upstream API specification updates that improve type correctness and consistency.
Please ensure you read through the list of changes below before moving to this version - this will help you understand any down or upstream issues it may cause to your environments.
Breaking Changes
See the v7.0.0 Migration Guide ↗ for before/after code examples and actions needed for each change.
AI Search - SearchForAgents Metadata Removed
The SearchForAgents nested type has been removed from all instance metadata structs. This field is no longer part of the API specification.
The Investigate.Get, Investigate.Move.New, and Investigate.Reclassify.New methods now use investigateID instead of postfixID as the path parameter name.
The observability telemetry filter parameter types have been restructured to support nested filter groups. New discriminated union types replace the previous flat filter arrays:
ObservabilityTelemetryKeysParams.Filters now accepts FiltersObjectFilterUnion (was []interface\{\})
ObservabilityTelemetryQueryParams.Parameters.Filters now accepts FiltersObjectFilterUnion
ObservabilityTelemetryValuesParams.Filters now accepts FiltersObjectFilterUnion
New types include FiltersObjectFiltersObject (for group filters with FilterCombination) and FiltersWorkersObservabilityFilterLeaf (for leaf filters with typed Operation, Type, and Value fields).
You can now empty an entire R2 bucket or delete folders directly from the dashboard. Emptying a bucket is required before you can delete it. Previously, this required scripting or configuring lifecycle rules. Now, the dashboard can handle it in a single action.
Empty a bucket
Go to your bucket's Settings tab and select Empty under the Empty Bucket section. This deletes all objects in the bucket while preserving the bucket and its configuration. For large buckets, the operation runs in the background and the dashboard displays progress.
Emptying a bucket is also a prerequisite for deleting it. The dashboard now guides you through both steps in one place.
Delete folders
R2 uses a flat object structure. The dashboard groups objects that share a common prefix into folders when the View prefixes as directories checkbox is selected. Deleting a folder removes every object under that prefix.
From the Objects tab, you can select one or more folders and delete them alongside individual objects.
This is a major release of the Cloudflare Python SDK. It drops support for Python 3.8, adds 11 new API services, introduces optional aiohttp backend support for improved async concurrency, and includes hundreds of type and method updates across the entire API surface.
Please review the breaking changes below before upgrading. A migration guide is available at v5.0.0 Migration Guide ↗.
Breaking Changes
Python 3.8 is no longer supported. The minimum required version is now Python 3.9.
typing-extensions minimum version bumped from >=4.10 to >=4.14.
The following resources have breaking changes. See the v5.0.0 Migration Guide ↗ for detailed migration instructions.
abusereports
acm.totaltls
apigateway.configurations
cloudforceone.threatevents
d1.database
intel.indicatorfeeds
logpush.edge
origintlsclientauth.hostnames
queues.consumers
radar.bgp
rulesets.rules
schemavalidation.schemas
snippets
zerotrust.dlp
zerotrust.networks
Features
aiohttp Backend Support
The async client now supports an optional aiohttp HTTP backend for improved concurrency performance. Install with pip install cloudflare[aiohttp] and use DefaultAioHttpClient() as the http_client parameter.
Python 3.13 and 3.14 Support
Python 3.13 and 3.14 are now tested and supported.
New Services
The following top-level resources are new in this release:
Resource
Client Path
Description
AI Search
aisearch
AI-powered search capabilities
Connectivity
connectivity
Connectivity testing and diagnostics
Email Sending
email_sending
Email send and send_raw endpoints
Fraud
fraud
Fraud detection and prevention
Google Tag Gateway
google_tag_gateway
Google Tag Gateway management
Organizations
organizations
Organization audit logs and management
R2 Data Catalog
r2_data_catalog
R2 Data Catalog operations
Realtime Kit
realtime_kit
Realtime communication (Calls/TURN)
Resource Tagging
resource_tagging
Resource tagging and labeling
Token Validation
token_validation
Token validation configuration and rules
Vulnerability Scanner
vulnerability_scanner
Vulnerability scanning, credential sets, and target environments
New Endpoints on Existing Services
api_gateway: Labels endpoints
billing: Billable usage PayGo endpoint
brand_protection: v2 endpoints
browser_rendering: DevTools methods
cache: Origin cloud regions resource
custom_origin_trust_store: Custom origin trust store
dns: dns_records/usage endpoints
email_security: Phishguard reports endpoint
iam: User groups and user group members resources
radar: Botnet Threat Feed and Post-Quantum endpoints
workers: Observability Destinations resources
zero_trust: Access Users, DEX rules, Device IP Profile, Device Subnet, WARP Connector connections and failover, WARP Subnet, Gateway PAC files
zones: Zone environments endpoints
Bug Fixes
Fixed polymorphic_serialization parameter in model_dump overrides
Added BaseModel base to response SchemaFieldStruct/SchemaFieldList stubs in Pipelines
Added missing model_rebuild/update_forward_refs for SharedEntryCustomEntry classes in DLP
Made RunQueryParametersNeedleValue a BaseModel with arbitrary_types_allowed in Workers
Removed duplicate notification_url field in webhook response types for Stream
Resolved pre-existing codegen type errors
Fixed type: ignore[call-arg] placement for mypy compatibility in Radar
Deprecations
Resources with @deprecated annotations on some methods include: accounts, addressing, ai-gateway, aisearch, api-gateway, billing, cloudforce-one, dns, email-routing, email-security, filters, firewall, images, intel, kv, logpush, origin-tls-client-auth, pages, pipelines, radar, rate-limits, registrar, rulesets, ssl, user, workers, workers-for-platforms, zero-trust, zones
This is a major version release of the Cloudflare TypeScript SDK. It includes 11 entirely new top-level API resources, new sub-resources and methods across 50+ existing resources, SDK infrastructure improvements, and breaking changes to the generated API surface from the v5.x line.
Please ensure you read through the list of changes below before moving to this version - this will help you understand any down or upstream issues it may cause to your environments.
Breaking Changes
SDK Infrastructure
Retry-After handling changed: The SDK now respects any server-specified Retry-After value for rate-limited requests. Previously, values over 60 seconds were ignored and a default backoff was used instead.
Empty response handling: Responses with content-length: 0 now return undefined instead of attempting to parse the body.
Environment variable reading: Empty string env vars (for example, CLOUDFLARE_API_TOKEN="") are now treated as unset.
Path query parameter merging: URL search params embedded in endpoint paths are now extracted and merged into the query object.
Removed Endpoints (17)
17 HTTP endpoints were removed from the SDK, affecting abuse-reports, cloudforce-one, dlp/profiles/predefined, email-security/investigate, email-security/settings, and intel/ip-list.
Method Signature Changes
client.ai.toMarkdown.transform(file, \{ ...params \}) -> client.ai.toMarkdown.transform(\{ ...params \}) -- file moved from positional arg into params body
client.radar.ai.toMarkdown.create(body, \{ ...params \}) -> client.radar.ai.toMarkdown.create(\{ ...params \}) -- body moved from positional arg into params
Cloudflare Web Analytics now supports Navigation Type reporting and filtering.
This update allows developers and performance analysts to see how users are navigating between pages — whether through a link click or form submission, a page reload, or using the browser's back/forward buttons — and whether a browser cache hit occurred for these behaviors.
Understanding navigation types is critical for optimizing user experience. For example, if a high volume of your traffic consists of "Back-forward" navigations versus "Back-forward Cache", those visitors are not benefiting from the Back/Forward Cache (bfcache) and therefore are experiencing higher load times due to potentially unnecessary network requests.
The same applies for regular "Navigate" entries — where "Navigate Cache", "Navigate Prefetch Cache" and "Prerender" would provide instant document retrieval — and "Reload", where "Reload cache" would be more optimal.
A high volume of "Reload" entries can also indicate a potential stability problem with your website.
By identifying these patterns, you can tune your browser caching strategies to ensure HTML documents are served instantaneously from local caches rather than requiring a roundtrip to the network.
Monitor Cache Effectiveness: See how often your site is served from the HTTP cache or bfcache.
Identify Performance Bottlenecks: Filter by the different types to understand performance opportunity of improving browser cache hit ratio.
Analyze navigation types in the Cloudflare dashboard
You can now find the Navigation Type dimension in the Web Analytics dashboard. You can filter to include/exclude one or more specific types using "equals", "does not equal", "in", or "not in" matchers.
To check the list of popular navigation types, select Page views on the Web Analytics sidebar and scroll down to the bottom:
You can now connect Hyperdrive to a private database through a Workers VPC service. This is the recommended way to connect Hyperdrive to a private database that is not exposed to the public Internet.
When creating a Hyperdrive configuration in the Cloudflare dashboard, choose Connect to private database and then Workers VPC. From there, you can select an existing VPC service or create a new one inline by picking a Cloudflare Tunnel and entering your origin host and TCP port.
You can also create a Hyperdrive configuration backed by a Workers VPC service from the command line:
Workers VPC services are reusable across Hyperdrive configurations and can also be bound directly to Workers, so you can share the same private connection across multiple products.
Queues, Cloudflare's managed message queue, now exposes realtime backlog metrics via the dashboard, REST API, and JavaScript API. Three new fields are available:
backlog_count — the number of unacknowledged messages in the queue
backlog_bytes — the total size of those messages in bytes
oldest_message_timestamp_ms — the timestamp of the oldest unacknowledged message
The following endpoints also now include a metadata.metrics object on the result field after successful message consumption:
Terraform Provider v5.19.0 introduces 14 new resources spanning AI Gateway, Pipelines, R2 Data Catalog, User Groups, Vulnerability Scanner, Workers Observability, and Zero Trust capabilities. This release significantly improves the v4 to v5 migration experience with automatic state upgraders for 26 resources, working seamlessly with the new tf-migrate CLI tool ↗ to automate resource renames, attribute updates, and moved block generation. Together, these enhancements reduce manual migration effort and minimize risk when upgrading from v4 to v5.
Note:cmd/migrate is deprecated in favor of tf-migrate and will be removed in a future release (#7062 ↗)
New Resources
cloudflare_ai_gateway: Manage AI Gateway instances
We're excited to announce tf-migrate, a purpose-built CLI tool that simplifies migrating from Cloudflare Terraform Provider v4 to v5.
v5 is stable and ready for production
Terraform Provider v5 is stable and actively receiving updates. We encourage all users to migrate to v5 to take advantage of ongoing enhancements and new capabilities.
Cloudflare uses tf-migrate to migrate our own infrastructure — the same tool we're providing to the community — ensuring the best possible migration experience.
What tf-migrate does
tf-migrate automates the tedious and error-prone parts of the v4 to v5 migration process:
Resource type renames – Automatically updates cloudflare_record → cloudflare_dns_record, cloudflare_access_application → cloudflare_zero_trust_access_application, and 40+ other renamed resources
Attribute transformations – Updates field names (e.g., value → content for DNS records) and restructures nested blocks
Moved block generation – Creates Terraform 1.8+ moved blocks to prevent resource replacements and ensure zero-downtime migrations
Cross-file reference updates – Automatically finds and updates all references to renamed resources across your entire configuration
Dry-run mode – Preview all changes before applying them to ensure safety
Combined with the automatic state upgraders introduced in v5.19+, tf-migrate eliminates the manual work and risk that previously made v5 migrations challenging. Tf-migrate operates directly on the config, and the built-in state upgraders handle the rest.
Supported resources
Tf-migrate currently supports the most common Terraform resources our customers use. We are actively working to expand coverage, with the most commonly used resources prioritized first.
For the complete list of supported resources and their migration status, refer to the v5 Stabilization Tracker ↗. This list is updated regularly as additional resources are stabilized and migration support is added.
Resources not yet supported by tf-migrate will need to be migrated manually using the version 5 upgrade guide ↗. The upgrade guide provides step-by-step instructions for handling resource renames, attribute changes, and state migrations.
We have been releasing Betas over the past month and a half while testing this tool. See the full changelog of those Betas here: tf-migrate releases ↗.
In this release, you'll see a number of breaking changes. This is primarily due to changes in OpenAPI definitions, which our libraries are based off of, and codegen updates that we rely on to read those OpenAPI definitions and produce our SDK libraries.
Please ensure you read through the list of changes below before moving to this version - this will help you understand any down or upstream issues it may cause to your environments.
Breaking Changes
See the v6.10.0 Migration Guide ↗ for before/after code examples and actions needed for each change.
Abuse Reports - Registrar WHOIS Report Field Removals
Several fields have been removed from AbuseReportNewParamsBodyAbuseReportsRegistrarWhoisReportRegWhoRequest:
RegWhoGoodFaithAffirmation
RegWhoLawfulProcessingAgreement
RegWhoLegalBasis
RegWhoRequestType
RegWhoRequestedDataElements
AI Search - Instance Params Restructured
The InstanceNewParams and InstanceUpdateParams types have been significantly restructured. Many fields have been moved or removed:
InstanceSearchParams.Messages field removed along with InstanceSearchParamsMessage and InstanceSearchParamsMessagesRole types
AI Search - InstanceItem Service Removed
The InstanceItemService type has been removed. The items sub-resource at client.AISearch.Instances.Items no longer exists in the non-namespace path. Use client.AISearch.Namespaces.Instances.Items instead.
AI Search - Token Types Removed
The following types have been removed from the ai_search package:
Email Security - Investigate Move Return Type Change
The Investigate.Move.New() method now returns a raw slice instead of a paginated wrapper:
New() returns *[]InvestigateMoveNewResponse instead of *pagination.SinglePage[InvestigateMoveNewResponse]
NewAutoPaging() method removed
Hyperdrive - Config Params Restructured
The ConfigEditParams type lost its MTLS and Name fields. The HyperdriveMTLSParam type lost MTLS and Host fields. The Host field on origin config changed from param.Field[string] to a plain string.
IAM - UserGroupMember Params and Return Types Changed
The UserGroupMemberNewParams struct has been restructured and the New() method now returns a paginated response:
UserGroupMemberNewParams.Body renamed to UserGroupMemberNewParams.Members
UserGroupMemberNewParamsBody renamed to UserGroupMemberNewParamsMember
UserGroupMemberUpdateParams.Body renamed to UserGroupMemberUpdateParams.Members
UserGroupMemberUpdateParamsBody renamed to UserGroupMemberUpdateParamsMember
UserGroups.Members.New() returns *pagination.SinglePage[UserGroupMemberNewResponse] instead of *UserGroupMemberNewResponse
IAM - UserGroup List Direction Type Changed
The UserGroupListParams.Direction field changed from param.Field[string] to param.Field[UserGroupListParamsDirection] (typed enum with asc/desc values).
Pipelines - Delete Methods Now Return Typed Responses
Several delete methods across Pipelines now return typed responses instead of bare error:
Pipelines.DeleteV1() returns (*PipelineDeleteV1Response, error) instead of error
Pipelines.Sinks.Delete() returns (*SinkDeleteResponse, error) instead of error
Pipelines.Streams.Delete() returns (*StreamDeleteResponse, error) instead of error
Queues - Message Response Types Removed
The following response envelope types have been removed:
MessageBulkPushResponseSuccess
MessagePushResponseSuccess
MessageAckResponse fields RetryCount and Warnings removed
Secrets Store - Pagination Wrapper Removal and Type Changes
Methods now return direct types instead of SinglePage wrappers, and several internal types have been removed. Associated AutoPaging methods have also been removed:
Stores.New() returns *StoreNewResponse instead of *pagination.SinglePage[StoreNewResponse]
Stores.NewAutoPaging() method removed
Stores.Secrets.BulkDelete() returns *StoreSecretBulkDeleteResponse instead of *pagination.SinglePage[StoreSecretBulkDeleteResponse]
R2 Data Catalog, a managed Apache Iceberg ↗ catalog built into R2, now removes unreferenced data files during automatic snapshot expiration. This improvement reduces storage costs and eliminates the need to run manual maintenance jobs to reclaim space from deleted data.
Previously, snapshot expiration only cleaned up Iceberg metadata files such as manifests and manifest lists. Data files that were no longer referenced by active snapshots remained in R2 storage until you manually ran remove_orphan_files or expire_snapshots through an engine like Spark. This required extra operational overhead and left stale data files consuming storage.
Snapshot expiration now handles both metadata and data file cleanup automatically. When a snapshot is expired, any data files that are no longer referenced by retained snapshots are removed from R2 storage.