Mistral AI

Portkey provides a robust and secure gateway to facilitate the integration of various Large Language Models (LLMs) into your applications, including Mistral AI APIs.

With Portkey, you can take advantage of features like fast AI gateway access, observability, prompt management, and more, all while ensuring the secure management of your LLM API keys through a virtual key system.

​

Portkey SDK Integration with Mistral AI Models

Portkey provides a consistent API to interact with models from various providers. To integrate Mistral AI with Portkey:

​

1. Install the Portkey SDK

Add the Portkey SDK to your application to interact with Mistral AI’s API through Portkey’s gateway.

• NodeJS
• Python

npm install --save portkey-ai

​

2. Initialize Portkey with the Virtual Key

To use Mistral AI with Portkey, get your API key from here, then add it to Portkey to create the virtual key.

• NodeJS SDK
• Python SDK

import Portkey from 'portkey-ai'

const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY", // defaults to process.env["PORTKEY_API_KEY"]
    virtualKey: "VIRTUAL_KEY" // Your Mistral AI Virtual Key
})

​

3.1. Invoke Chat Completions with Mistral AI

Use the Portkey instance to send requests to Mistral AI. You can also override the virtual key directly in the API call if needed.

You can also call the new Codestral model here!

• NodeJS SDK
• Python SDK

const chatCompletion = await portkey.chat.completions.create({
    messages: [{ role: 'user', content: 'Say this is a test' }],
    model: 'codestral-latest',
});

console.log(chatCompletion.choices);

​

Invoke Codestral Endpoint

Using Portkey, you can also call Mistral API’s new Codestral endpoint. Just pass the Codestral URL https://codestral.mistral.ai/v1 with the customHost property.

• NodeJS SDK
• Python SDK

import Portkey from 'portkey-ai'

const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY",
    virtualKey: "MISTRAL_VIRTUAL_KEY",
    customHost: "https://codestral.mistral.ai/v1"
})

const codeCompletion = await portkey.chat.completions.create({
    model: "codestral-latest",
    messages: [{"role": "user", "content": "Write a minimalist Python code to validate the proof for the special number 1729"}]
});

console.log(codeCompletion.choices[0].message.content);

​

Your Codestral requests will show up on Portkey logs with the code snippets rendered beautifully!

​

Codestral v/s Mistral API Endpoint

Here’s a handy guide for when you might want to make your requests to the Codestral endpoint v/s the original Mistral API endpoint:

For more, check out Mistral’s Code Generation guide here.

​

Managing Mistral AI Prompts

You can manage all prompts to Mistral AI in the Prompt Library. All the current models of Mistral AI are supported and you can easily start testing different prompts.

Once you’re ready with your prompt, you can use the portkey.prompts.completions.create interface to use the prompt in your application.

​

Next Steps

The complete list of features supported in the SDK are available on the link below.

You’ll find more information in the relevant sections:

1. Add metadata to your requests
2. Add gateway configs to your Mistral AI requests
3. Tracing Mistral AI requests
4. Setup a fallback from OpenAI to Mistral AI APIs