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.

Provider Slug: mistral-ai

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.

npm install --save portkey-ai

pip install 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.

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
})

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
)

3.1. 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!

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

console.log(chatCompletion.choices);

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

print(completion)

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.

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);

from portkey_ai import Portkey

portkey = Portkey(
    api_key="PORTKEY_API_KEY", 
    virtual_key="MISTRAL_VIRTUAL_KEY",
    custom_host="https://codestral.mistral.ai/v1"
)

code_completion = 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"}]
)

print(code_completion.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.

SDK

You'll find more information in the relevant sections:

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Last updated 2 days ago