Community Adapters

Cloudflare

The Cloudflare adapter provides access to Cloudflare Workers AI models and AI Gateway for routing requests to OpenAI, Anthropic, Gemini, Grok, and OpenRouter with caching, rate limiting, and unified billing.

Installation

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

For AI Gateway with third-party providers, install the provider SDKs you need:

shell
npm install @tanstack/ai-openai       # For OpenAI via Gateway
npm install @tanstack/ai-anthropic    # For Anthropic via Gateway
npm install @tanstack/ai-gemini       # For Gemini via Gateway
npm install @tanstack/ai-grok         # For Grok via Gateway
npm install @tanstack/ai-openrouter   # For OpenRouter via Gateway

Basic Usage

ts
import { chat, toHttpResponse } from "@tanstack/ai";
import { createWorkersAiChat } from "@cloudflare/tanstack-ai";

const adapter = createWorkersAiChat(
  "@cf/meta/llama-4-scout-17b-16e-instruct",
  { binding: env.AI },
);

const response = chat({
  adapter,
  stream: true,
  messages: [{ role: "user", content: "Hello!" }],
});

return toHttpResponse(response);

Workers AI

The simplest way to use AI in a Cloudflare Worker. No API keys needed when using the env.AI binding.

Chat

ts
import { chat, toHttpResponse } from "@tanstack/ai";
import { createWorkersAiChat } from "@cloudflare/tanstack-ai";

const adapter = createWorkersAiChat(
  "@cf/meta/llama-4-scout-17b-16e-instruct",
  { binding: env.AI },
);

const response = chat({
  adapter,
  stream: true,
  messages: [{ role: "user", content: "Hello!" }],
});

return toHttpResponse(response);

Chat with REST Credentials

If you're not running inside a Worker, use account ID and API key instead:

ts
import { createWorkersAiChat } from "@cloudflare/tanstack-ai";

const adapter = createWorkersAiChat(
  "@cf/meta/llama-4-scout-17b-16e-instruct",
  {
    accountId: "your-account-id",
    apiKey: "your-api-key",
  },
);

Image Generation

ts
import { generateImage } from "@tanstack/ai";
import { createWorkersAiImage } from "@cloudflare/tanstack-ai";

const adapter = createWorkersAiImage(
  "@cf/stabilityai/stable-diffusion-xl-base-1.0",
  { binding: env.AI },
);

const result = await generateImage({
  adapter,
  prompt: "a cat in space",
});

console.log(result.images[0].b64Json);

Transcription (Speech-to-Text)

Supports Whisper and Deepgram models:

ts
import { generateTranscription } from "@tanstack/ai";
import { createWorkersAiTranscription } from "@cloudflare/tanstack-ai";

const adapter = createWorkersAiTranscription(
  "@cf/openai/whisper-large-v3-turbo",
  { binding: env.AI },
);

const result = await generateTranscription({
  adapter,
  audio: audioArrayBuffer,
});

console.log(result.text);
console.log(result.segments);

Supported transcription models: @cf/openai/whisper, @cf/openai/whisper-tiny-en, @cf/openai/whisper-large-v3-turbo, @cf/deepgram/nova-3

Text-to-Speech

ts
import { generateSpeech } from "@tanstack/ai";
import { createWorkersAiTts } from "@cloudflare/tanstack-ai";

const adapter = createWorkersAiTts("@cf/deepgram/aura-2-en", {
  binding: env.AI,
});

const result = await generateSpeech({
  adapter,
  text: "Hello world",
});

console.log(result.audio);

Summarization

ts
import { summarize } from "@tanstack/ai";
import { createWorkersAiSummarize } from "@cloudflare/tanstack-ai";

const adapter = createWorkersAiSummarize("@cf/facebook/bart-large-cnn", {
  binding: env.AI,
});

const result = await summarize({
  adapter,
  text: "Long article here...",
});

console.log(result.summary);

AI Gateway

Route AI requests through Cloudflare's AI Gateway for caching, rate limiting, and unified billing. Supports both Workers AI and third-party providers.

Workers AI through Gateway

ts
import { createWorkersAiChat } from "@cloudflare/tanstack-ai";

const adapter = createWorkersAiChat(
  "@cf/meta/llama-4-scout-17b-16e-instruct",
  {
    binding: env.AI.gateway("my-gateway-id"),
    apiKey: env.WORKERS_AI_TOKEN,
  },
);

Third-Party Providers through Gateway

Use the binding approach (recommended for Cloudflare Workers):

ts
import {
  createOpenAiChat,
  createAnthropicChat,
  createGeminiChat,
  createGrokChat,
  createOpenRouterChat,
} from "@cloudflare/tanstack-ai";

const openai = createOpenAiChat("gpt-4o", {
  binding: env.AI.gateway("my-gateway-id"),
});

const anthropic = createAnthropicChat("claude-sonnet-4-5", {
  binding: env.AI.gateway("my-gateway-id"),
});

const grok = createGrokChat("grok-4", {
  binding: env.AI.gateway("my-gateway-id"),
});

const openrouter = createOpenRouterChat("openai/gpt-4o", {
  binding: env.AI.gateway("my-gateway-id"),
});

Or use credentials for non-Worker environments:

ts
import { createOpenAiChat } from "@cloudflare/tanstack-ai";

const adapter = createOpenAiChat("gpt-4o", {
  accountId: "your-account-id",
  gatewayId: "your-gateway-id",
  cfApiKey: "your-cf-api-key",
  apiKey: "provider-api-key",
});

Cache Options

Both binding and credentials modes support cache configuration:

ts
const adapter = createOpenAiChat("gpt-4o", {
  binding: env.AI.gateway("my-gateway-id"),
  skipCache: false,
  cacheTtl: 3600,
  customCacheKey: "my-key",
  metadata: { user: "test" },
});

Configuration Modes

Workers AI supports four configuration modes:

ModeConfigDescription
Plain binding{ binding: env.AI }Direct access, no gateway
Plain REST{ accountId, apiKey }REST API, no gateway
Gateway binding{ binding: env.AI.gateway(id) }Through AI Gateway via binding
Gateway REST{ accountId, gatewayId, ... }Through AI Gateway via REST

Third-party providers (OpenAI, Anthropic, Gemini, Grok, OpenRouter) only support the gateway modes.

Supported Capabilities

ProviderChatSummarizeImage GenTranscriptionTTS
Workers AI
OpenAI
Anthropic
Gemini
Grok
OpenRouter

Environment Variables

For the REST credential path (outside of Cloudflare Workers):

shell
CLOUDFLARE_ACCOUNT_ID=your-account-id
CLOUDFLARE_API_KEY=your-api-key

When using the env.AI binding inside a Worker, no environment variables are needed.

API Reference

Workers AI

  • createWorkersAiChat(model, config) — Chat and structured output

  • createWorkersAiImage(model, config) — Image generation

  • createWorkersAiTranscription(model, config) — Speech-to-text (Whisper, Deepgram)

  • createWorkersAiTts(model, config) — Text-to-speech (Deepgram Aura)

  • createWorkersAiSummarize(model, config) — Summarization (BART-large-CNN)

Gateway Providers

  • createOpenAiChat(model, config) / createOpenAiSummarize / createOpenAiImage / createOpenAiTranscription / createOpenAiTts

  • createAnthropicChat(model, config) / createAnthropicSummarize

  • createGeminiChat(model, config) / createGeminiSummarize / createGeminiImage / createGeminiTts

  • createGrokChat(model, config) / createGrokSummarize / createGrokImage

  • createOpenRouterChat(model, config) / createOpenRouterSummarize / createOpenRouterImage

Next Steps