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

npm install --save portkey-ai

Python

pip install portkey-ai

2. Initialize Portkey with the Virtual Key

Set up Portkey with your virtual key as part of the initialization configuration. You can create a virtual key for Mistral AI in the UI.

NodeJS 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
})

Python SDK

from portkey_ai import Portkey

portkey = Portkey(
    api_key="PORTKEY_API_KEY",  # Replace with your Portkey API key
    virtual_key="VIRTUAL_KEY"   # Replace with your virtual key for Mistral AI
)

3. 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.

NodeJS SDK

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

console.log(chatCompletion.choices);

Python SDK

completion = portkey.chat.completions.create(
    messages= [{ "role": 'user', "content": 'Say this is a test' }],
    model= 'mistral-medium'
)

print(completion)

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.

pagePortkey SDK Client

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