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

# Anthropic Instrumentation

> Instrument Anthropic API calls with LangWatch’s Python SDK to trace usage, debug issues, and support AI agent testing.

LangWatch integrates with Anthropic through OpenInference instrumentation to capture detailed information about your Claude API calls.

## Installation

<CodeGroup>
  ```bash pip theme={null}
  pip install langwatch anthropic openinference-instrumentation-anthropic
  ```

  ```bash uv theme={null}
  uv add langwatch anthropic openinference-instrumentation-anthropic
  ```
</CodeGroup>

## Usage

<Info>
  The LangWatch API key is configured by default via the `LANGWATCH_API_KEY` environment variable.
</Info>

Use the OpenInference instrumentation for Anthropic by passing `AnthropicInstrumentor` to `langwatch.setup()`.

```python  theme={null}
import langwatch
from anthropic import Anthropic
import os

from openinference.instrumentation.anthropic import AnthropicInstrumentor

langwatch.setup(instrumentors=[AnthropicInstrumentor()])

client = Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))


@langwatch.trace(name="Anthropic Call with Community Instrumentor")
def generate_text_with_community_instrumentor(prompt: str):
    response = client.messages.create(
        model="claude-sonnet-4-5-20250929",
        max_tokens=1024,
        messages=[{"role": "user", "content": prompt}],
    )
    return response.content[0].text


if __name__ == "__main__":
    user_query = "Tell me a joke"
    response = generate_text_with_community_instrumentor(user_query)
    print(f"User: {user_query}")
    print(f"AI: {response}")
```

The `AnthropicInstrumentor` automatically captures all Anthropic API calls globally once instrumented. Use `@langwatch.trace()` to create a parent trace under which API calls will be nested.

## Related

* [Capturing RAG](/integration/python/tutorials/capturing-rag) - Learn how to capture RAG data from retrievers and tools
* [Capturing Metadata and Attributes](/integration/python/tutorials/capturing-metadata) - Add custom metadata and attributes to your traces and spans
* [Capturing Evaluations & Guardrails](/integration/python/tutorials/capturing-evaluations-guardrails) - Log evaluations and implement guardrails in your Anthropic applications