> ## 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.

# Anthropic LangChain Integration

> Use LangChain to integrate Anthropic with Helicone to log your Anthropic LLM usage.

<Warning>
  This integration method is maintained but no longer actively developed. For the best experience and latest features, use our new [AI Gateway](/gateway/overview) with unified API access to 100+ models.
</Warning>

<Steps>
  <Step title="Create an account + Generate an API Key">
    Log into [helicone](https://www.helicone.ai) or create an account. Once you have an account, you
    can generate an [API key](https://helicone.ai/developer).
  </Step>

  <Step title="Set HELICONE_API_KEY as an environment variable">
    ```typescript theme={null}
    export HELICONE_API_KEY=<your API key>
    ```
  </Step>

  <Step title="Modify the API base and add the `Helicone-Auth` header">
    <CodeGroup>
      ```typescript example.ts theme={null}
      const llm = new ChatAnthropic({
        modelName: "claude-2",
        anthropicApiKey: "ANTHROPIC_API_KEY",
        clientOptions: {
          baseURL: "https://anthropic.helicone.ai",
          defaultHeaders: {
            "Helicone-Auth": `Bearer ${HELICONE_API_KEY}`,
          },
        },
      });
      ```

      ```python example.py theme={null}
      anthropic = ChatAnthropic(
        temperature=0.9,
        model="claude-2",
        anthropic_api_url="https://anthropic.helicone.ai",
        anthropic_api_key="ANTHROPIC_API_KEY",
        model_kwargs={
          "extra_headers":{
            "Helicone-Auth": f"Bearer {HELICONE_API_KEY}"
          }
        }
      )
      ```
    </CodeGroup>
  </Step>
</Steps>

## 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.

```python theme={null}
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)
```