Mistral AI

import { Render } from "~/components";

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

Endpoint

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

Prerequisites

When making requests to the Mistral AI, you will need:

• AI Gateway Account ID
• AI Gateway gateway name
• Mistral AI API token
• Mistral AI model name

URL structure

Your new base URL will use the data above in this structure: https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/mistral/.

Then you can append the endpoint you want to hit, for example: v1/chat/completions

So your final URL will come together as: https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/mistral/v1/chat/completions.

Examples

cURL

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

Use @mistralai/mistralai package with JavaScript

If you are using the @mistralai/mistralai package, you can set your endpoint like this:

import { Mistral } from "@mistralai/mistralai";

const client = new Mistral({
	apiKey: MISTRAL_TOKEN,
	serverURL: `https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/mistral`,
});

await client.chat.create({
	model: "mistral-large-latest",
	messages: [
		{
			role: "user",
			content: "What is Cloudflare?",
		},
	],
});

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

}}

/>