> ## Documentation Index
> Fetch the complete documentation index at: https://arizeai-433a7140.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Anthropic Tracing

export const projectName_0 = "my-llm-app"

Anthropic is a leading provider for state-of-the-art LLMs. The Anthropic SDK can be instrumented using the [`openinference-instrumentation-anthropic`](https://github.com/Arize-ai/openinference/tree/main/python/instrumentation/openinference-instrumentation-anthropic) package.

## Install

```bash theme={null}
pip install openinference-instrumentation-anthropic anthropic
```

## Setup

Connect your application to Phoenix with the `register` function:

<CodeBlock language="python">
  {`from phoenix.otel import register

    # configure the Phoenix tracer
    tracer_provider = register(
    project_name="${projectName_0}", # Default is 'default'
    auto_instrument=True # Auto-instrument your app based on installed OI dependencies
    )`}
</CodeBlock>

## Run Anthropic

A simple Anthropic application that is now instrumented

```python theme={null}
import anthropic

client = anthropic.Anthropic()

message = client.messages.create(
    model="claude-3-5-sonnet-20240620",
    max_tokens=1000,
    temperature=0,
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "Why is the ocean salty?"
                }
            ]
        }
    ]
)
print(message.content)
```

## Observe

Now that you have tracing setup, all invocations of pipelines will be streamed to your running Phoenix for observability and evaluation.

## Resources:

* [Example Messages](https://github.com/Arize-ai/openinference/blob/main/python/instrumentation/openinference-instrumentation-anthropic/examples/sync_messages.py)

* [Example Tool Calling](https://github.com/Arize-ai/openinference/blob/main/python/instrumentation/openinference-instrumentation-anthropic/examples/multiple_tool_calling.py)

* [OpenInference package](https://github.com/Arize-ai/openinference/tree/main/python/instrumentation/openinference-instrumentation-anthropic)