openinference-instrumentation-anthropic 1.1.0

OpenInference Anthropic Instrumentation

OpenInference Anthropic Instrumentation

Python autoinstrumentation library for the Anthropic package

This package implements the following Anthropic clients:

• Messages
• Completions
• AsyncMessages
• AsyncCompletions
• BetaMessagesParse
• AsyncBetaMessagesParse

These traces are fully OpenTelemetry compatible and can be sent to an OpenTelemetry collector for viewing, such as Arize Phoenix or Arize AX.

Installation

pip install openinference-instrumentation-anthropic

Quickstart

Through your terminal, install required packages.

pip install openinference-instrumentation-anthropic anthropic arize-phoenix opentelemetry-sdk opentelemetry-exporter-otlp

You can start Phoenix with the following terminal command:

python -m phoenix.server.main serve

By default, Phoenix listens on http://localhost:6006. You can visit the app via a browser at the same address. (Phoenix does not send data over the internet. It only operates locally on your machine.)

Try the following code in a Python file.

1. Set up AnthropicInstrumentor to trace your application and sends the traces to Phoenix.
2. Then, set your Anthropic API key as an environment variable.
3. Lastly, create a Anthropic client, make a request, then go see your results in Phoenix at http://localhost:6006!

import os
from anthropic import Anthropic
from openinference.instrumentation.anthropic import AnthropicInstrumentor
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk import trace as trace_sdk
from opentelemetry.sdk.trace.export import SimpleSpanProcessor

# Configure AnthropicInstrumentor with Phoenix endpoint
endpoint = "http://127.0.0.1:6006/v1/traces"
tracer_provider = trace_sdk.TracerProvider()
tracer_provider.add_span_processor(SimpleSpanProcessor(OTLPSpanExporter(endpoint)))

AnthropicInstrumentor().instrument(tracer_provider=tracer_provider)

os.environ["ANTHROPIC_API_KEY"] = "YOUR_KEY_HERE"

client = Anthropic()

response = client.messages.create(
    max_tokens=1024,
    messages=[
        {
            "role": "user",
            "content": "Tell me about the history of Iceland!",
        }
    ],
    model="claude-3-opus-20240229",
)
print(response)

Now, on the Phoenix UI on your browser, you should see the traces from your Anthropic application. Click on a trace, then the "Attributes" tab will provide you with in-depth information regarding execution!

More Info

• More info on OpenInference and Phoenix
• More info on OpenInference and Arize AX
• How to customize spans to track sessions, metadata, etc.
• How to account for private information and span payload customization