DeepSeek

import { Render } from "~/components";

DeepSeek helps you build quickly with DeepSeek's advanced AI models.

Endpoint

https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/deepseek

Prerequisites

When making requests to DeepSeek, ensure you have the following:

• Your AI Gateway Account ID.
• Your AI Gateway gateway name.
• An active DeepSeek AI API token.
• The name of the DeepSeek AI model you want to use.

URL structure

Your new base URL will use the data above in this structure:

https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/deepseek/.

You can then append the endpoint you want to hit, for example: chat/completions.

So your final URL will come together as:

https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/deepseek/chat/completions.

Examples

cURL with a provider key

curl https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/deepseek/chat/completions \
 --header 'content-type: application/json' \
 --header 'Authorization: Bearer DEEPSEEK_TOKEN' \
 --data '{
    "model": "deepseek-chat",
    "messages": [
        {
            "role": "user",
            "content": "What is Cloudflare?"
        }
    ]
}'

cURL with stored keys (BYOK)

Store your DeepSeek key with bring your own keys (BYOK). Then omit the Authorization header so AI Gateway can substitute the stored key:

curl https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/deepseek/chat/completions \
 --header 'content-type: application/json' \
 --header 'cf-aig-authorization: Bearer {CF_AIG_TOKEN}' \
 --data '{
    "model": "deepseek-chat",
    "messages": [
        {
            "role": "user",
            "content": "What is Cloudflare?"
        }
    ]
}'

Use DeepSeek with JavaScript

If you are using the OpenAI SDK, you can set your endpoint like this:

import OpenAI from "openai";

const openai = new OpenAI({
	apiKey: env.DEEPSEEK_TOKEN,
	baseURL:
		"https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/deepseek",
});

try {
	const chatCompletion = await openai.chat.completions.create({
		model: "deepseek-chat",
		messages: [{ role: "user", content: "What is Cloudflare?" }],
	});

	const response = chatCompletion.choices[0].message;

	return new Response(JSON.stringify(response));
} catch (e) {
	return new Response(e);
}

<Render file="chat-completions-providers" product="ai-gateway" params={{ name: "DeepSeek", jsonexample: { "model": "deepseek/{model}" }

}}

/>