# Check if PHOENIX_API_KEY is present in the environment variables.
# If it is, we'll use the cloud instance of Phoenix. If it's not, we'll start a local instance.
# A third option is to connect to a docker or locally hosted instance.
# See https://docs.arize.com/phoenix/setup/environments for more information.
# Launch Phoenix
import os
if "PHOENIX_API_KEY" in os.environ:
os.environ["PHOENIX_CLIENT_HEADERS"] = f"api_key={os.environ['PHOENIX_API_KEY']}"
os.environ["PHOENIX_COLLECTOR_ENDPOINT"] = "https://app.phoenix.arize.com"
else:
import phoenix as px
px.launch_app().view()
# Connect to Phoenix
from phoenix.otel import register
tracer_provider = register()
# Instrument OpenAI calls in your application
from openinference.instrumentation.openai import OpenAIInstrumentor
OpenAIInstrumentor().instrument(tracer_provider=tracer_provider, skip_dep_check=True)
# Make a call to OpenAI with an image provided
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="gpt-4o",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What’s in this image?"},
{
"type": "image_url",
"image_url": {
"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
},
},
],
}
],
max_tokens=300,
)
