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Phoenix

Stack

LLM Infrastructure

Phoenix - LLM tracing, evaluations, datasets, and a prompt playground in ONE container, OpenTelemetry-native.

Image details

Pulls: 5.7M
Architecture: amd64, arm64
Image size: 340 MB
Latest: 20.16-debug
User: mikeldking
Created: Nov 17, 2023
Updated: 19 hours ago
Status: active

Configuration

Type
Compose
Platform
linux
Image
arizephoenix/phoenix:version-17
Ports
5000:50004317
Volumes
/mnt/data : phoenixdata
Env vars
PHOENIX_PORT=5000PHOENIX_HOST=0.0.0.0PHOENIX_WORKING_DIR=/mnt/dataPHOENIX_ENABLE_AUTH=TruePHOENIX_SECRET=${PHOENIX_SECRET}PHOENIX_TELEMETRY_ENABLED=false
Restart
unless-stopped
Source
Repo

Template by deployable-sh·Source

Report issue

Standalone Install

Select an install method, to see config/commands for deploying Phoenix

Installation method

Install on Portainer

Import all app templates into your Portainer instance, for easy 1-click deploys

  1. Ensure both Docker and Portainer are installed, and up-to-date
  2. Log into your Portainer web UI
  3. Under Settings → App Templates, paste the below URL
  4. Head to Home → App Templates, and the list of apps will show up
  5. Select Phoenix, fill in any config options, and hit Deploy

Template Import URL

https://raw.githubusercontent.com/Lissy93/portainer-templates/main/templates.json
Show Me demo
Original stackfile

The compose file this template deploys, straight from its repo:

name: phoenix

services:
  phoenix:
    image: arizephoenix/phoenix:version-17
    restart: unless-stopped
    environment:
      PHOENIX_PORT: "5000"
      PHOENIX_HOST: 0.0.0.0
      PHOENIX_WORKING_DIR: /mnt/data
      PHOENIX_ENABLE_AUTH: "True"
      PHOENIX_SECRET: ${PHOENIX_SECRET}
      PHOENIX_TELEMETRY_ENABLED: "false"
    ports:
      - "5000:5000"
      - "4317"
    volumes:
      - phoenixdata:/mnt/data

volumes:
  phoenixdata:

Or deploy it directly from the source:

git clone https://github.com/deployable-sh/stacks
cd stacks
docker compose -f phoenix/compose.yaml up -d

More install options in our documentation.

<a target="_blank" href="https://phoenix.arize.com" style="background:none">
    <img alt="phoenix banner" src="https://github.com/Arize-ai/phoenix-assets/blob/main/images/socal/github-large-banner-phoenix-v2.jpg?raw=true" width="auto" height="auto"></img>
</a>
<br/>
<br/>
<a href="https://arize.com/docs/phoenix/">
    <img src="https://img.shields.io/static/v1?message=Docs&logo=data:image/png;base64,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&labelColor=grey&color=blue&logoColor=white&label=%20"/>
</a>
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    <img src="https://img.shields.io/static/v1?message=Community&logo=slack&labelColor=grey&color=blue&logoColor=white&label=%20"/>
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    <img src="https://img.shields.io/badge/-phoenix-blue.svg?color=blue&labelColor=gray&logo=bluesky">
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<a target="_blank" href="https://x.com/ArizePhoenix">
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</a>
<a target="_blank" href="https://pypi.org/project/arize-phoenix/">
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</a>
<a target="_blank" href="https://anaconda.org/conda-forge/arize-phoenix">
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<a target="_blank" href="https://pypi.org/project/arize-phoenix/">
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</a>
<a target="_blank" href="https://hub.docker.com/r/arizephoenix/phoenix/tags">
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<a target="_blank" href="https://hub.docker.com/r/arizephoenix/phoenix-helm">
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<a target="_blank" href="https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-mcp">
    <img src="https://badge.mcpx.dev?status=on" title="MCP Enabled"/>
</a>
<a href="https://cursor.com/install-mcp?name=phoenix&config=eyJjb21tYW5kIjoibnB4IC15IEBhcml6ZWFpL3Bob2VuaXgtbWNwQGxhdGVzdCAtLWJhc2VVcmwgaHR0cDovL2xvY2FsaG9zdDo2MDA2IC0tYXBpS2V5IHlvdXItYXBpLWtleSJ9"><img src="https://cursor.com/deeplink/mcp-install-dark.svg" alt="Add Arize Phoenix MCP server to Cursor" height=20 /></a>


Phoenix is an open-source AI observability platform designed for experimentation, evaluation, and troubleshooting. It provides:
  • Tracing - Trace your LLM application's runtime using OpenTelemetry-based instrumentation.
  • Evaluation - Leverage LLMs to benchmark your application's performance using response and retrieval evals.
  • Datasets - Create versioned datasets of examples for experimentation, evaluation, and fine-tuning.
  • Experiments - Track and evaluate changes to prompts, LLMs, and retrieval.
  • Playground- Optimize prompts, compare models, adjust parameters, and replay traced LLM calls.
  • Prompt Management- Manage and test prompt changes systematically using version control, tagging, and experimentation.

Phoenix is vendor and language agnostic with out-of-the-box support for popular frameworks (🦙LlamaIndex, 🦜⛓LangChain, Haystack, 🧩DSPy, 🤗smolagents) and LLM providers (OpenAI, Bedrock, MistralAI, VertexAI, LiteLLM, Google GenAI and more). For details on auto-instrumentation, check out the OpenInference project.
Phoenix runs practically anywhere, including your local machine, a Jupyter notebook, a containerized deployment, or in the cloud.

Installation

Install Phoenix via pip or conda
pip install arize-phoenix

Phoenix container images are available via Docker Hub and can be deployed using Docker or Kubernetes. Arize AI also provides cloud instances at app.phoenix.arize.com.

Packages

The arize-phoenix package includes the entire Phoenix platfom. However if you have deployed the Phoenix platform, there are light-weight Python sub-packages and TypeScript packages that can be used in conjunction with the platfrom.

Subpackages

PackageLanguageDescription
arize-phoenix-otelPython PyPI VersionProvides a lightweight wrapper around OpenTelemetry primitives with Phoenix-aware defaults
arize-phoenix-clientPython PyPI VersionLightweight client for interacting with the Phoenix server via its OpenAPI REST interface
arize-phoenix-evalsPython PyPI VersionTooling to evaluate LLM applications including RAG relevance, answer relevance, and more
@arizeai/phoenix-clientJavaScript NPM VersionClient for the Arize Phoenix API
@arizeai/phoenix-evalsTypeScript NPM VersionTypeScript evaluation library for LLM applications (alpha release)
@arizeai/phoenix-mcpJavaScript NPM VersionMCP server implementation for Arize Phoenix providing unified interface to Phoenix's capabilities

Community

Join our community to connect with thousands of AI builders.

Breaking Changes

See the migration guide for a list of breaking changes.

Copyright, Patent, and License

Copyright 2025 Arize AI, Inc. All Rights Reserved.
Portions of this code are patent protected by one or more U.S. Patents. See the IPNOTICE.
This software is licensed under the terms of the Elastic License 2.0 (ELv2). See LICENSE.

Serve Phoenix on your own domain behind Caddy, Nginx or Traefik. Fill in your domain and copy the result. It's a starting point, some apps need their own base URL or extra headers set too.

Proxying phoenix.example.com to http://phoenix:5000

Add this to your Caddyfile

phoenix.example.com {
	reverse_proxy http://phoenix:5000
}

Check the logs first

Nine times out of ten the logs tell you exactly what went wrong.

  • In Portainer, go to Containers, click the container, then Logs. Or run docker logs <container>
  • Exit codes help too: 137 means killed, usually out of memory. 126 or 127 means the command inside the image is broken.

Port already in use

If deployment fails with "Bind for 0.0.0.0:5000 failed: port is already allocated", something else on your server is using that port.

  • Find what's using it: sudo ss -tlnp | grep :5000
  • Stop the other service, or pick a different host port. In 5000:5000 only the left number is yours to change, the right one belongs to the app.

Published on a random port

This template exposes 4317 without setting a host port, so Docker picks a random free one on every deploy.

  • Find it in the Ports column of Portainer's container list, or with docker port <container>

Running but the page won't load

The container is up but nothing appears in your browser.

  • Use your server's real IP: http://your-server-ip:5000. The 0.0.0.0 link Portainer shows isn't a real address.
  • Give it a minute after first deploy, phoenix can take a while to initialise.
  • Make sure your firewall allows the port, e.g. sudo ufw allow 5000

Image won't pull

Test the pull directly on the host: docker pull arizephoenix/phoenix:version-17

  • "manifest unknown" means the tag no longer exists.
  • "toomanyrequests" is the Docker Hub rate limit. Log in with docker login to raise it.
  • "no space left on device" means a full disk. Reclaim space with docker system prune

"exec format error"

This means the image was built for a different CPU architecture than your server.

  • This image supports: amd64, arm64
  • Check yours with uname -m: x86_64 is amd64, aarch64 is arm64. Raspberry Pi and other ARM boards are the usual culprits.

Container keeps restarting

The unless-stopped restart policy relaunches the app after every crash, so the real error can scroll past.

  • Check the logs right after a restart, the last few lines before it died are the useful ones.
  • Get the exit code with docker inspect <container> --format '{{.State.ExitCode}}'
  • Still stuck? Redeploy once with the restart policy set to no so the failure stays visible.

Stack won't deploy

Compose stacks fail fast on small mistakes, and Portainer shows the reason just above the editor.

  • YAML only accepts spaces for indentation, a single tab breaks the whole file.

Raise an issue

Found something which isn't working as it should? Here's how to report it.

A Compose stack

Phoenix is a Compose stack, a set of containers defined in one file and brought up together by Portainer, then started and stopped as a single app.

The app image

An image is the app packed up ready to go, everything Phoenix needs bundled into one download. This template pulls arizephoenix/phoenix:version-17, which Docker fetches once (about 340 MB) and then starts your own copy from.

Where the image comes from

Docker pulls its images from registries, public libraries of ready-built apps. Phoenix's comes from Docker Hub, published by arizephoenix.

Version tags

The bit after the colon in the image name is the version tag. This one pins version-17, so every redeploy gives you that exact build until you bump it yourself.

Which machines it runs on

Every image is built for particular CPU types. This one ships for amd64, arm64, so it runs on both regular x86 servers and ARM boards like a Raspberry Pi.

Ports

A port is the door the app answers on. A mapping like 5000:5000 means it's reachable on port 5000 of your server, where the left number is yours to change and the right one belongs to the app. It opens:

  • 5000:5000
  • 4317, published on a random host port

Volumes

A volume is where Phoenix keeps its files so they survive an update or a restart. Without one, anything it saves would sit inside the container and vanish the moment it's recreated. This template mounts:

  • /mnt/data kept in the phoenixdata volume Docker manages

Environment variables

Environment variables are the settings you hand over when you deploy, things like a password or a timezone. Phoenix takes 6 of them, all with defaults you can leave alone or tweak:

  • PHOENIX_PORT, defaults to 5000
  • PHOENIX_HOST, defaults to 0.0.0.0
  • PHOENIX_WORKING_DIR, defaults to /mnt/data
  • PHOENIX_ENABLE_AUTH, defaults to True
  • PHOENIX_SECRET, pulled from your own environment. 32+ characters.
  • PHOENIX_TELEMETRY_ENABLED, defaults to false

Restart policy

The restart policy here is unless-stopped, so Docker restarts Phoenix after a crash or reboot, but leaves it off when you stop it on purpose. You can change this on the deploy screen. The choices are no (never restart), on-failure (only after a crash), unless-stopped (restart unless you stop it), and always (bring it back no matter what).

Networking

Nothing custom is set, so Phoenix sits on Docker's default bridge network: its own private space that reaches the outside world only through the ports it publishes.

Container name

Once it's deployed, Portainer names the container phoenix. That's what you'll spot in the containers list and use in commands like docker logs phoenix.

Platform

The platform is linux, the kind of system the container is built to run on. Docker and Portainer handle this on a normal Linux server.

Portainer app templates

Zooming out, this whole page comes from a Portainer app template: a short recipe telling Portainer how to set Phoenix up. Add the template list to Portainer once, then deploying Phoenix is a click rather than a wall of config.