Prompt Flow Tracing

Create flows using Microsoft PromptFlow and send their traces to Phoenix

This integration will allow you to trace Microsoft PromptFlow flows and send their traces intoarize-phoenix.

Launch Phoenix

Phoenix Cloud

Sign up for Phoenix:

1. Sign up for an Arize Phoenix account at https://app.phoenix.arize.com/login

2. Click Create Space, then follow the prompts to create and launch your space.

Install packages:

pip install arize-phoenix-otel

Set your Phoenix endpoint and API Key:

From your new Phoenix Space

1. Create your API key from the Settings page

2. Copy your Hostname from the Settings page

3. In your code, set your endpoint and API key:

import os

os.environ["PHOENIX_API_KEY"] = "ADD YOUR PHOENIX API KEY"
os.environ["PHOENIX_COLLECTOR_ENDPOINT"] = "ADD YOUR PHOENIX HOSTNAME"

# If you created your Phoenix Cloud instance before June 24th, 2025,
# you also need to set the API key as a header:
# os.environ["PHOENIX_CLIENT_HEADERS"] = f"api_key={os.getenv('PHOENIX_API_KEY')}"

Having trouble finding your endpoint? Check out Finding your Phoenix Endpoint

Command Line

Launch your local Phoenix instance:

pip install arize-phoenix
phoenix serve

For details on customizing a local terminal deployment, see Terminal Setup.

Install packages:

pip install arize-phoenix-otel

Set your Phoenix endpoint:

import os

os.environ["PHOENIX_COLLECTOR_ENDPOINT"] = "http://localhost:6006"

See Terminal for more details.

Docker

Pull latest Phoenix image from Docker Hub:

docker pull arizephoenix/phoenix:latest

Run your containerized instance:

docker run -p 6006:6006 arizephoenix/phoenix:latest

This will expose the Phoenix on localhost:6006

Install packages:

pip install arize-phoenix-otel

Set your Phoenix endpoint:

import os

os.environ["PHOENIX_COLLECTOR_ENDPOINT"] = "http://localhost:6006"

For more info on using Phoenix with Docker, see Docker.

Notebook

Install packages:

pip install arize-phoenix

Launch Phoenix:

import phoenix as px
px.launch_app()

By default, notebook instances do not have persistent storage, so your traces will disappear after the notebook is closed. See self-hosting or use one of the other deployment options to retain traces.

Install

pip install promptflow

Setup

Set up the OpenTelemetry endpoint to point to Phoenix and use Prompt flow's setup_exporter_from_environ to start tracing any further flows and LLM calls.

import os
from opentelemetry.sdk.environment_variables import OTEL_EXPORTER_OTLP_ENDPOINT
from promptflow.tracing._start_trace import setup_exporter_from_environ

endpoint = f"{os.environ["PHOENIX_COLLECTOR_ENDPOINT]}/v1/traces" # replace with your Phoenix endpoint if self-hosting
os.environ[OTEL_EXPORTER_OTLP_ENDPOINT] = endpoint
setup_exporter_from_environ()

Run PromptFlow

Proceed with creating Prompt flow flows as usual. See this example notebook for inspiration.

Observe

You should see the spans render in Phoenix as shown in the below screenshots.

Resources

• Example Notebook