OpenAI Tracing

Phoenix provides auto-instrumentation for the OpenAI Python Library.

Note: This instrumentation also works with Azure OpenAI

Launch Phoenix

We have several code samples below on different ways to integrate with OpenAI, based on how you want to use Phoenix.

Install

pip install openinference-instrumentation-openai openai

Setup

Add your OpenAI API key as an environment variable:

export OPENAI_API_KEY=[your_key_here]

Use the register function to connect your application to Phoenix:

from phoenix.otel import register

# configure the Phoenix tracer
tracer_provider = register(
  project_name="my-llm-app", # Default is 'default'
  auto_instrument=True # Auto-instrument your app based on installed dependencies
)

Run OpenAI

import openai

client = openai.OpenAI()
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Write a haiku."}],
)
print(response.choices[0].message.content)

Observe

Now that you have tracing setup, all invocations of OpenAI (completions, chat completions, embeddings) will be streamed to your running Phoenix for observability and evaluation.

Resources

• Example notebook

• OpenInference package

• Working examples