Anthropic

Portkey provides a robust and secure gateway to facilitate the integration of various Large Language Models (LLMs) into your applications, including Anthropic’s Claude 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.

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Portkey SDK Integration with Anthropic

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

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1. Install the Portkey SDK

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

• NodeJS
• Python

npm install --save portkey-ai

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2. Initialize Portkey with the Virtual Key

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

• NodeJS SDK
• Python SDK
• OpenAI Python SDK
• OpenAI Node 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 Anthropic Virtual Key
})

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3. Invoke Chat Completions with Anthropic

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

• NodeJS SDK
• Python SDK
• OpenAI Python SDK
• OpenAI Node SDK

const chatCompletion = await portkey.chat.completions.create({
    messages: [{ role: 'user', content: 'Say this is a test' }],
    model: 'claude-3-opus-20240229',
    max_tokens: 250 // Required field for Anthropic
});

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

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How to Use Anthropic System Prompt

With Portkey, we make Anthropic models interoperable with the OpenAI schema and SDK methods. So, instead of passing the system prompt separately, you can pass it as part of the messages body, similar to OpenAI:

• NodeJS
• Python

const chatCompletion = await portkey.chat.completions.create({
    messages: [
        { role: 'system', content: 'Your system prompt' },
        { role: 'user', content: 'Say this is a test' }
    ],
    model: 'claude-3-opus-20240229',
    max_tokens: 250
});

console.log(chatCompletion.choices);

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Vision Chat Completion Usage

Portkey’s multimodal Gateway fully supports Anthropic’s vision models claude-3-sonnet, claude-3-haiku, claude-3-opus, and the latest claude-3.5-sonnet. Portkey follows the OpenAI schema, which means you can send your image data to Anthropic in the same format as OpenAI.

Here’s an example using Anthropic claude-3.5-sonnet model

• Python
• NodeJS
• OpenAI NodeJS
• OpenAI Python
• cURL

import base64
import httpx
from portkey_ai import Portkey

# Fetch and encode the image
image_url = "https://upload.wikimedia.org/wikipedia/commons/a/a7/Camponotus_flavomarginatus_ant.jpg"
image_data = base64.b64encode(httpx.get(image_url).content).decode("utf-8")

# Initialize the Portkey client
portkey = Portkey(
    api_key="PORTKEY_API_KEY",  # Replace with your Portkey API key
    virtual_key="VIRTUAL_KEY"   # Add your provider's virtual key
)

# Create the request
response = portkey.chat.completions.create(
    model="claude-3-5-sonnet-20240620",
    messages=[
        {
            "role": "system",
            "content": "You are a helpful assistant, who describes imagse"
        },
        {
            "role": "user",
            "content": [
                {
                    "type": "image_url",
                    "image_url": {
                        "url": f"data:image/jpeg;base64,{image_data}"
                    }
                }
            ]
        }
    ],
    max_tokens=1400,
)
print(response)

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API Reference

On completion, the request will get logged in Portkey where any image inputs or outputs can be viewed. Portkey will automatically render the base64 images to help you debug any issues quickly.

For more info, check out this guide:

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Prompt Caching

Portkey also works with Anthropic’s new prompt caching feature and helps you save time & money for all your Anthropic requests. Refer to this guide to learn how to enable it:

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Managing Anthropic Prompts

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

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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 Anthropic requests
3. Tracing Anthropic requests
4. Setup a fallback from OpenAI to Anthropic’s Claude APIs