Prompt Flow Tracing

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

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. Prompt flow exports to the endpoint as given, so it must be the full OTLP traces URL — including the /v1/traces path:

PHOENIX_COLLECTOR_ENDPOINT=http://localhost:6006/v1/traces

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

endpoint = os.environ.get(
    "PHOENIX_COLLECTOR_ENDPOINT", "http://localhost:6006/v1/traces"
)
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

⌘I

Developer Tools

MCP

LLM Providers

TypeScript

Python

Java

Platform

Sandboxes

Evaluation Integrations

Coding Agents

Prompt Flow Tracing

Install

Setup

Run PromptFlow

Observe

Resources

​Install

​Setup

​Run PromptFlow

​Observe

​Resources

Install

Setup

Run PromptFlow

Observe

Resources