import os
# Add Phoenix API Key for tracing
PHOENIX_API_KEY = "ADD YOUR API KEY"
os.environ["PHOENIX_CLIENT_HEADERS"] = f"api_key={PHOENIX_API_KEY}"
os.environ["PHOENIX_COLLECTOR_ENDPOINT"] = "https://app.phoenix.arize.com"
Your Phoenix API key can be found on the Keys section of your dashboard.
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"
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.
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.
