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.

Provider Slug: anthropic

Portkey SDK Integration with Anthropic

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

1. Install the Portkey SDK

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

npm install --save portkey-ai

pip install portkey-ai

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.

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
})

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 Anthropic
)

from openai import OpenAI
from portkey_ai import PORTKEY_GATEWAY_URL, createHeaders

client = OpenAI(
    api_key="ANTHROPIC_API_KEY",
    base_url=PORTKEY_GATEWAY_URL,
    default_headers=createHeaders(
        api_key="PORTKEY_API_KEY",
        provider="anthropic"
    )
)

import OpenAI from "openai";
import { PORTKEY_GATEWAY_URL, createHeaders } from "portkey-ai";

const client = new OpenAI({
  apiKey: "ANTHROPIC_API_KEY",
  baseURL: PORTKEY_GATEWAY_URL,
  defaultHeaders: createHeaders({
    provider: "anthropic",
    apiKey: "PORTKEY_API_KEY",
  }),
});

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.

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);

chat_completion = 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
)
    
print(chat_completion.choices[0].message.content)

chat_completion = client.chat.completions.create(
    messages = [{ "role": 'user', "content": 'Say this is a test' }],
    model = 'claude-3-opus-20240229',
    max_tokens = 250
)

print(chat_completion.choices[0].message.content)

async function main() {
    const chatCompletion = await client.chat.completions.create({
        model: "claude-3-opus-20240229",
        max_tokens: 1024,
        messages: [{ role: "user", content: "Hello, Claude" }],
    });
    console.log(chatCompletion.choices[0].message.content);
}

main();

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:

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);

completion = 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 # Required field for Anthropic
)
    
print(completion.choices)

For more, check out the chat completions and completions API reference docs.Using Anthropic Vision Models

Portkey's multimodal Gateway fully supports Anthropic's vision models claude-3-sonnet, claude-3-haiku, claude-3-opus, and the newest claude-3.5-sonnet.

For more info, check out this guide:

Vision

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.

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 1 month ago