Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.helicone.ai/llms.txt

Use this file to discover all available pages before exploring further.

This integration method is maintained but no longer actively developed. For the best experience and latest features, use our new AI Gateway with unified API access to 100+ models.
1

Create an account + Generate an API Key

Log into helicone or create an account. Once you have an account, you can generate an API key.
2

Set HELICONE_API_KEY as an environment variable

export HELICONE_API_KEY=<your API key>
3

Modify the API base and add the `Helicone-Auth` header

const llm = new ChatAnthropic({
  modelName: "claude-2",
  anthropicApiKey: "ANTHROPIC_API_KEY",
  clientOptions: {
    baseURL: "https://anthropic.helicone.ai",
    defaultHeaders: {
      "Helicone-Auth": `Bearer ${HELICONE_API_KEY}`,
    },
  },
});

​
Using AnthropicMultiModal with Helicone

Enhance your integration by using AnthropicMultiModal with Helicone to process images and generate text descriptions. Follow the code below to add this functionality to your application. 
import os
from llama_index.multi_modal_llms.anthropic import AnthropicMultiModal
from llama_index.core.multi_modal_llms.generic_utils import load_image_urls

# Initialize the AnthropicMultiModal class with your Anthropic API key
anthropic_mm_llm = AnthropicMultiModal(
    max_tokens=300,
    default_headers={
        "Helicone-Auth": f"Bearer {os.environ['HELICONE_API_KEY']}",
    },
    api_key="<your Anthropic API key>",
    api_base="https://anthropic.helicone.ai",
)

# Provide image URLs
image_urls = ["https://example.com/image1.png"]

# Load image URLs into documents
image_url_documents = load_image_urls(image_urls)

# Generate a response based on the images
response = anthropic_mm_llm.complete(
    prompt="Describe the images as alternative text",
    image_documents=image_url_documents,
)

print(response)