> ## Documentation Index
> Fetch the complete documentation index at: https://docs.langtrace.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Anthropic

> Anthropic is an AI research organization behind Claude model family. Whether you're brainstorming alone or building with a team of thousands, Claude is here to help.

Using Langtrace to monitor your Claude backed LLM apps is quick and easy. Follow these steps:

## Setup

1. Install Langtrace's SDK and [initialize](/quickstart) the SDK in your code.

*Note: You'll need API keys from Langtrace and Anthropic. Sign up for [Langtrace](https://langtrace.ai) and/or [Anthropic](https://www.anthropic.com/) if you haven't done so already.*

```bash Python theme={null}
# Install the SDK
pip install -U langtrace-python-sdk anthropic
```

2. Setup environment variables:

```bash Shell theme={null}
export LANGTRACE_API_KEY=YOUR_LANGTRACE_API_KEY
export ANTHROPIC_API_KEY=YOUR_ANTHROPIC_API_KEY
```

## Usage

Generate a simple output with your deployment's model:

<CodeGroup>
  ```python Python theme={null}
  # Imports import os
  import os
  from langtrace_python_sdk import langtrace # Must precede any llm module imports
  langtrace.init(api_key = os.environ['LANGTRACE_API_KEY'])
  from anthropic import Anthropic
  client = Anthropic(
  # This is the default and can be omitted
  api_key=os.environ.get("ANTHROPIC_API_KEY"),
  )

  # Query Anthropic's claude-3-opus MODEL:
  message = client.messages.create(
  max_tokens=1024,
  messages=[
      {
          "role": "user",
          "content": "Hello, Claude",
      }
  ],
  model="claude-3-opus-20240229",
  )
  print(message)
  ```
</CodeGroup>

You can now view your traces on the Langtrace dashboard

<img src="https://mintcdn.com/langtraceai-2/hZpPXosaHdgAfpXF/images/anthropic.png?fit=max&auto=format&n=hZpPXosaHdgAfpXF&q=85&s=37a40778e1daa069e875754df2d1fd01" alt="traces" width="2117" height="522" data-path="images/anthropic.png" />

Want to see more supported methods? Checkout the sample code in the [Langtrace Anthropic Python Example](https://github.com/Scale3-Labs/langtrace-recipes/blob/main/integrations/language-model/anthropic/starter.ipynb) repository.