Category: Uncategorized

Workers VPC now supports Cloudflare Origin CA certificates when connecting to your private services over HTTPS. Previously, Workers VPC only trusted certificates issued by publicly trusted certificate authorities (for example, Let’s Encrypt, DigiCert).

With this change, you can use free Cloudflare Origin CA certificates on your origin servers within private networks and connect to them from Workers VPC using the https scheme. This is useful for encrypting traffic between the tunnel and your service without needing to provision certificates from a public CA.

For more information, refer to Supported TLS certificates.

We’re excited to announce GLM-4.7-Flash on Workers AI, a fast and efficient text generation model optimized for multilingual dialogue and instruction-following tasks, along with the brand-new @cloudflare/tanstack-ai package and workers-ai-provider v3.1.1.

You can now run AI agents entirely on Cloudflare. With GLM-4.7-Flash’s multi-turn tool calling support, plus full compatibility with TanStack AI and the Vercel AI SDK, you have everything you need to build agentic applications that run completely at the edge.

GLM-4.7-Flash — Multilingual Text Generation Model

@cf/zai-org/glm-4.7-flash is a multilingual model with a 131,072 token context window, making it ideal for long-form content generation, complex reasoning tasks, and multilingual applications.

Key Features and Use Cases:

• Multi-turn Tool Calling for Agents: Build AI agents that can call functions and tools across multiple conversation turns
• Multilingual Support: Built to handle content generation in multiple languages effectively
• Large Context Window: 131,072 tokens for long-form writing, complex reasoning, and processing long documents
• Fast Inference: Optimized for low-latency responses in chatbots and virtual assistants
• Instruction Following: Excellent at following complex instructions for code generation and structured tasks

Use GLM-4.7-Flash through the Workers AI binding (env.AI.run()), the REST API at /run or /v1/chat/completions, AI Gateway, or via workers-ai-provider for the Vercel AI SDK.

Pricing is available on the model page or pricing page.

@cloudflare/tanstack-ai v0.1.1 — TanStack AI adapters for Workers AI and AI Gateway

We’ve released @cloudflare/tanstack-ai, a new package that brings Workers AI and AI Gateway support to TanStack AI. This provides a framework-agnostic alternative for developers who prefer TanStack’s approach to building AI applications.

Workers AI adapters support four configuration modes — plain binding (env.AI), plain REST, AI Gateway binding (env.AI.gateway(id)), and AI Gateway REST — across all capabilities:

• Chat (createWorkersAiChat) — Streaming chat completions with tool calling, structured output, and reasoning text streaming.
• Image generation (createWorkersAiImage) — Text-to-image models.
• Transcription (createWorkersAiTranscription) — Speech-to-text.
• Text-to-speech (createWorkersAiTts) — Audio generation.
• Summarization (createWorkersAiSummarize) — Text summarization.

AI Gateway adapters route requests from third-party providers — OpenAI, Anthropic, Gemini, Grok, and OpenRouter — through Cloudflare AI Gateway for caching, rate limiting, and unified billing.

To get started:

npm install @cloudflare/tanstack-ai @tanstack/ai

workers-ai-provider v3.1.1 — transcription, speech, reranking, and reliability

The Workers AI provider for the Vercel AI SDK now supports three new capabilities beyond chat and image generation:

• Transcription (provider.transcription(model)) — Speech-to-text with automatic handling of model-specific input formats across binding and REST paths.
• Text-to-speech (provider.speech(model)) — Audio generation with support for voice and speed options.
• Reranking (provider.reranking(model)) — Document reranking for RAG pipelines and search result ordering.

import { createWorkersAI } from "workers-ai-provider";
import {
  experimental_transcribe,
  experimental_generateSpeech,
  rerank,
} from "ai";

const workersai = createWorkersAI({ binding: env.AI });

const transcript = await experimental_transcribe({
  model: workersai.transcription("@cf/openai/whisper-large-v3-turbo"),
  audio: audioData,
  mediaType: "audio/wav",
});

const speech = await experimental_generateSpeech({
  model: workersai.speech("@cf/deepgram/aura-1"),
  text: "Hello world",
  voice: "asteria",
});

const ranked = await rerank({
  model: workersai.reranking("@cf/baai/bge-reranker-base"),
  query: "What is machine learning?",
  documents: ["ML is a branch of AI.", "The weather is sunny."],
});

This release also includes a comprehensive reliability overhaul (v3.0.5):

• Fixed streaming — Responses now stream token-by-token instead of buffering all chunks, using a proper TransformStream pipeline with backpressure.
• Fixed tool calling — Resolved issues with tool call ID sanitization, conversation history preservation, and a heuristic that silently fell back to non-streaming mode when tools were defined.
• Premature stream termination detection — Streams that end unexpectedly now report finishReason: "error" instead of silently reporting "stop".
• AI Search support — Added createAISearch as the canonical export (renamed from AutoRAG). createAutoRAG still works with a deprecation warning.

To upgrade:

npm install workers-ai-provider@latest ai

Resources

• @cloudflare/tanstack-ai on npm
• workers-ai-provider on npm
• GitHub repository

Workers VPC now supports Cloudflare Origin CA certificates when connecting to your private services over HTTPS. Previously, Workers VPC only trusted certificates issued by publicly trusted certificate authorities (for example, Let’s Encrypt, DigiCert).

With this change, you can use free Cloudflare Origin CA certificates on your origin servers within private networks and connect to them from Workers VPC using the https scheme. This is useful for encrypting traffic between the tunnel and your service without needing to provision certificates from a public CA.

For more information, refer to Supported TLS certificates.

We’re excited to announce GLM-4.7-Flash on Workers AI, a fast and efficient text generation model optimized for multilingual dialogue and instruction-following tasks, along with the brand-new @cloudflare/tanstack-ai package and workers-ai-provider v3.1.1.

You can now run AI agents entirely on Cloudflare. With GLM-4.7-Flash’s multi-turn tool calling support, plus full compatibility with TanStack AI and the Vercel AI SDK, you have everything you need to build agentic applications that run completely at the edge.

GLM-4.7-Flash — Multilingual Text Generation Model

@cf/zai-org/glm-4.7-flash is a multilingual model with a 131,072 token context window, making it ideal for long-form content generation, complex reasoning tasks, and multilingual applications.

Key Features and Use Cases:

• Multi-turn Tool Calling for Agents: Build AI agents that can call functions and tools across multiple conversation turns
• Multilingual Support: Built to handle content generation in multiple languages effectively
• Large Context Window: 131,072 tokens for long-form writing, complex reasoning, and processing long documents
• Fast Inference: Optimized for low-latency responses in chatbots and virtual assistants
• Instruction Following: Excellent at following complex instructions for code generation and structured tasks

Use GLM-4.7-Flash through the Workers AI binding (env.AI.run()), the REST API at /run or /v1/chat/completions, AI Gateway, or via workers-ai-provider for the Vercel AI SDK.

Pricing is available on the model page or pricing page.

@cloudflare/tanstack-ai v0.1.1 — TanStack AI adapters for Workers AI and AI Gateway

We’ve released @cloudflare/tanstack-ai, a new package that brings Workers AI and AI Gateway support to TanStack AI. This provides a framework-agnostic alternative for developers who prefer TanStack’s approach to building AI applications.

Workers AI adapters support four configuration modes — plain binding (env.AI), plain REST, AI Gateway binding (env.AI.gateway(id)), and AI Gateway REST — across all capabilities:

• Chat (createWorkersAiChat) — Streaming chat completions with tool calling, structured output, and reasoning text streaming.
• Image generation (createWorkersAiImage) — Text-to-image models.
• Transcription (createWorkersAiTranscription) — Speech-to-text.
• Text-to-speech (createWorkersAiTts) — Audio generation.
• Summarization (createWorkersAiSummarize) — Text summarization.

AI Gateway adapters route requests from third-party providers — OpenAI, Anthropic, Gemini, Grok, and OpenRouter — through Cloudflare AI Gateway for caching, rate limiting, and unified billing.

To get started:

npm install @cloudflare/tanstack-ai @tanstack/ai

workers-ai-provider v3.1.1 — transcription, speech, reranking, and reliability

The Workers AI provider for the Vercel AI SDK now supports three new capabilities beyond chat and image generation:

• Transcription (provider.transcription(model)) — Speech-to-text with automatic handling of model-specific input formats across binding and REST paths.
• Text-to-speech (provider.speech(model)) — Audio generation with support for voice and speed options.
• Reranking (provider.reranking(model)) — Document reranking for RAG pipelines and search result ordering.

import { createWorkersAI } from "workers-ai-provider";
import {
  experimental_transcribe,
  experimental_generateSpeech,
  rerank,
} from "ai";

const workersai = createWorkersAI({ binding: env.AI });

const transcript = await experimental_transcribe({
  model: workersai.transcription("@cf/openai/whisper-large-v3-turbo"),
  audio: audioData,
  mediaType: "audio/wav",
});

const speech = await experimental_generateSpeech({
  model: workersai.speech("@cf/deepgram/aura-1"),
  text: "Hello world",
  voice: "asteria",
});

const ranked = await rerank({
  model: workersai.reranking("@cf/baai/bge-reranker-base"),
  query: "What is machine learning?",
  documents: ["ML is a branch of AI.", "The weather is sunny."],
});

This release also includes a comprehensive reliability overhaul (v3.0.5):

• Fixed streaming — Responses now stream token-by-token instead of buffering all chunks, using a proper TransformStream pipeline with backpressure.
• Fixed tool calling — Resolved issues with tool call ID sanitization, conversation history preservation, and a heuristic that silently fell back to non-streaming mode when tools were defined.
• Premature stream termination detection — Streams that end unexpectedly now report finishReason: "error" instead of silently reporting "stop".
• AI Search support — Added createAISearch as the canonical export (renamed from AutoRAG). createAutoRAG still works with a deprecation warning.

To upgrade:

npm install workers-ai-provider@latest ai

Resources

• @cloudflare/tanstack-ai on npm
• workers-ai-provider on npm
• GitHub repository

Workers VPC now supports Cloudflare Origin CA certificates when connecting to your private services over HTTPS. Previously, Workers VPC only trusted certificates issued by publicly trusted certificate authorities (for example, Let’s Encrypt, DigiCert).

With this change, you can use free Cloudflare Origin CA certificates on your origin servers within private networks and connect to them from Workers VPC using the https scheme. This is useful for encrypting traffic between the tunnel and your service without needing to provision certificates from a public CA.

For more information, refer to Supported TLS certificates.

Cloudflare’s network now supports real-time content conversion at the source, for enabled zones using content negotiation headers. When AI systems request pages from any website that uses Cloudflare and has Markdown for Agents enabled, they can express the preference for text/markdown in the request: our network will automatically and efficiently convert the HTML to markdown, when possible, on the fly.

Here is a curl example with the Accept negotiation header requesting this page from our developer documentation:

curl https://developers.cloudflare.com/fundamentals/reference/markdown-for-agents/ 
  -H "Accept: text/markdown"

The response to this request is now formatted in markdown:

HTTP/2 200
date: Wed, 11 Feb 2026 11:44:48 GMT
content-type: text/markdown; charset=utf-8
content-length: 2899
vary: accept
x-markdown-tokens: 725
content-signal: ai-train=yes, search=yes, ai-input=yes

---
title: Markdown for Agents · Cloudflare Agents docs
---

## What is Markdown for Agents

Markdown has quickly become the lingua franca for agents and AI systems
as a whole. The format’s explicit structure makes it ideal for AI processing,
ultimately resulting in better results while minimizing token waste.
...

Refer to our developer documentation and our blog announcement for more details.

Radar now includes content type insights for AI bot and crawler traffic. The new content_type dimension and filter shows the distribution of content types returned to AI crawlers, grouped by MIME type category.

The content type dimension and filter are available via the following API endpoints:

• /ai/bots/summary/content_type
• /ai/bots/timeseries_groups/content_type

Content type categories:

• HTML – Web pages (text/html)
• Images – All image formats (image/*)
• JSON – JSON data and API responses (application/json, *+json)
• JavaScript – Scripts (application/javascript, text/javascript)
• CSS – Stylesheets (text/css)
• Plain Text – Unformatted text (text/plain)
• Fonts – Web fonts (font/*, application/font-*)
• XML – XML documents and feeds (text/xml, application/xml, application/rss+xml, application/atom+xml)
• YAML – Configuration files (text/yaml, application/yaml)
• Video – Video content and streaming (video/*, application/ogg, *mpegurl)
• Audio – Audio content (audio/*)
• Markdown – Markdown documents (text/markdown)
• Documents – PDFs, Office documents, ePub, CSV (application/pdf, application/msword, text/csv)
• Binary – Executables, archives, WebAssembly (application/octet-stream, application/zip, application/wasm)
• Serialization – Binary API formats (application/protobuf, application/grpc, application/msgpack)
• Other – All other content types

Additionally, individual bot information pages now display content type distribution for AI crawlers that exist in both the Verified Bots and AI Bots datasets.

Check out the AI Insights page to explore the data.

Cloudflare’s network now supports real-time content conversion at the source, for enabled zones using content negotiation headers. When AI systems request pages from any website that uses Cloudflare and has Markdown for Agents enabled, they can express the preference for text/markdown in the request: our network will automatically and efficiently convert the HTML to markdown, when possible, on the fly.

Here is a curl example with the Accept negotiation header requesting this page from our developer documentation:

curl https://developers.cloudflare.com/fundamentals/reference/markdown-for-agents/ 
  -H "Accept: text/markdown"

The response to this request is now formatted in markdown:

HTTP/2 200
date: Wed, 11 Feb 2026 11:44:48 GMT
content-type: text/markdown; charset=utf-8
content-length: 2899
vary: accept
x-markdown-tokens: 725
content-signal: ai-train=yes, search=yes, ai-input=yes

---
title: Markdown for Agents · Cloudflare Agents docs
---

## What is Markdown for Agents

Markdown has quickly become the lingua franca for agents and AI systems
as a whole. The format’s explicit structure makes it ideal for AI processing,
ultimately resulting in better results while minimizing token waste.
...

Refer to our developer documentation and our blog announcement for more details.

Radar now includes content type insights for AI bot and crawler traffic. The new content_type dimension and filter shows the distribution of content types returned to AI crawlers, grouped by MIME type category.

The content type dimension and filter are available via the following API endpoints:

• /ai/bots/summary/content_type
• /ai/bots/timeseries_groups/content_type

Content type categories:

• HTML – Web pages (text/html)
• Images – All image formats (image/*)
• JSON – JSON data and API responses (application/json, *+json)
• JavaScript – Scripts (application/javascript, text/javascript)
• CSS – Stylesheets (text/css)
• Plain Text – Unformatted text (text/plain)
• Fonts – Web fonts (font/*, application/font-*)
• XML – XML documents and feeds (text/xml, application/xml, application/rss+xml, application/atom+xml)
• YAML – Configuration files (text/yaml, application/yaml)
• Video – Video content and streaming (video/*, application/ogg, *mpegurl)
• Audio – Audio content (audio/*)
• Markdown – Markdown documents (text/markdown)
• Documents – PDFs, Office documents, ePub, CSV (application/pdf, application/msword, text/csv)
• Binary – Executables, archives, WebAssembly (application/octet-stream, application/zip, application/wasm)
• Serialization – Binary API formats (application/protobuf, application/grpc, application/msgpack)
• Other – All other content types

Additionally, individual bot information pages now display content type distribution for AI crawlers that exist in both the Verified Bots and AI Bots datasets.

Check out the AI Insights page to explore the data.

Cloudflare’s network now supports real-time content conversion at the source, for enabled zones using content negotiation headers. When AI systems request pages from any website that uses Cloudflare and has Markdown for Agents enabled, they can express the preference for text/markdown in the request: our network will automatically and efficiently convert the HTML to markdown, when possible, on the fly.

Here is a curl example with the Accept negotiation header requesting this page from our developer documentation:

curl https://developers.cloudflare.com/fundamentals/reference/markdown-for-agents/ 
  -H "Accept: text/markdown"

The response to this request is now formatted in markdown:

HTTP/2 200
date: Wed, 11 Feb 2026 11:44:48 GMT
content-type: text/markdown; charset=utf-8
content-length: 2899
vary: accept
x-markdown-tokens: 725
content-signal: ai-train=yes, search=yes, ai-input=yes

---
title: Markdown for Agents · Cloudflare Agents docs
---

## What is Markdown for Agents

Markdown has quickly become the lingua franca for agents and AI systems
as a whole. The format’s explicit structure makes it ideal for AI processing,
ultimately resulting in better results while minimizing token waste.
...

Refer to our developer documentation and our blog announcement for more details.