OpenAI Compatibility
Cloudflare's AI Gateway offers an OpenAI-compatible /chat/completions
endpoint, enabling integration with multiple AI providers using a single URL. This feature simplifies the integration process, allowing for seamless switching between different models without significant code modifications.
https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/compat/chat/completions
Replace {account_id}
and {gateway_id}
with your Cloudflare account and gateway IDs.
Switch providers by changing the model
and apiKey
parameters.
Specify the model using {provider}/{model}
format. For example:
openai/gpt-4o-mini
google-ai-studio/gemini-2.0-flash
anthropic/claude-3-haiku
import OpenAI from "openai";const client = new OpenAI({ apiKey: "YOUR_PROVIDER_API_KEY", // Provider API key baseURL: "https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/compat/chat/completions",});
const response = await client.chat.completions.create({ model: "google-ai-studio/gemini-2.0-flash", messages: [{ role: "user", content: "What is Cloudflare?" }],});
console.log(response.choices[0].message.content);
curl -X POST https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/compat/chat/completions \ --header 'Authorization: Bearer {openai_token}' \ --header 'Content-Type: application/json' \ --data '{ "model": "google-ai-studio/gemini-2.0-flash", "messages": [ { "role": "user", "content": "What is Cloudflare?" } ] }'
You can also use this pattern with a Universal Endpoint.
export interface Env { AI: Ai;}
export default { async fetch(request: Request, env: Env) { return env.AI.gateway("default").run({ provider: "compat", endpoint: "chat/completions", headers: { authorization: "Bearer ", }, query: { model: "google-ai-studio/gemini-2.0-flash", messages: [ { role: "user", content: "What is Cloudflare?", }, ], }, }); },};
The OpenAI-compatible endpoint supports models from the following providers:
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