Portkey provides a robust and secure gateway to facilitate the integration of various Large Language Models (LLMs) into your applications, including .
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 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, , 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:
Managing Mistral AI 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:
.
You can manage all prompts to Mistral AI in the . All the current models of Mistral AI are supported and you can easily start testing different prompts.
