SambaNova

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 SambaNova Models

​

1. Install the Portkey SDK

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

• NodeJS
• Python

npm install --save portkey-ai

​

2. Initialize Portkey with 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 SambaNova Virtual Key
})

​

3. Invoke Chat Completions

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

• NodeJS SDK
• Python SDK

const chatCompletion = await portkey.chat.completions.create({
    messages: [{ role: 'user', content: 'Say this is a test' }],
    model: 'Meta-Llama-3.1-405B-Instruct',
});
console.log(chatCompletion.choices);

​

Managing SambaNova Prompts

You can manage all prompts to SambaNova models in the Prompt Library. All the current models of SambaNova 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.

The complete list of supported models are available here:

You’ll find more information in the relevant sections:

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