Files

Sun-ZhenXing aeddac52bf Update MinerU, Gitea, InfluxDB, Phoenix, and Selenium configurations

- Bump MinerU version from 2.7.1 to 2.7.2 in .env.example, Dockerfile, README files, and docker-compose.yaml.
- Update Gitea version from 1.25.2-rootless to 1.25.4-rootless in .env.example and docker-compose.yaml.
- Add InfluxDB configuration files including .env.example, README.md, README.zh.md, and docker-compose.yaml with version 2.8.0.
- Bump Phoenix version from 12.28.1-nonroot to 12.31.2-nonroot in .env.example and docker-compose.yaml, and update README files.
- Introduce Selenium standalone configuration with version 144.0-20260120, including .env.example, README.md, README.zh.md, and docker-compose.yaml.

2026-01-25 22:59:55 +08:00

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Arize Phoenix

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Arize Phoenix is an open-source AI observability platform for LLM applications. It provides tracing, evaluation, datasets, and experiments to help you build and improve AI applications.

Services

phoenix: The main Phoenix application server (SQLite version).
phoenix-pg: The Phoenix application server configured for PostgreSQL (requires postgres profile).
phoenix-db: PostgreSQL database for persistent storage (requires postgres profile).

Profiles

This project supports two modes of operation via Docker Compose profiles:

sqlite (Default): Uses SQLite for storage. Simple and good for local development. Set COMPOSE_PROFILES=sqlite in .env.
postgres (or pg): Uses PostgreSQL for storage. Recommended for production. Set COMPOSE_PROFILES=postgres in .env.

Ports

Port	Protocol	Description
6006	HTTP	UI and OTLP HTTP collector (`/v1/traces`)
4317	gRPC	OTLP gRPC collector
9090	HTTP	Prometheus metrics (optional)

Environment Variables

Variable Name	Description	Default Value
COMPOSE_PROFILES	Active profiles (`sqlite` or `postgres`)	`sqlite`
PHOENIX_VERSION	Phoenix image version	`12.31.2-nonroot`
PHOENIX_PORT_OVERRIDE	Host port for Phoenix UI and HTTP API	`6006`
PHOENIX_GRPC_PORT_OVERRIDE	Host port for OTLP gRPC collector	`4317`
PHOENIX_PROMETHEUS_PORT_OVERRIDE	Host port for Prometheus metrics	`9090`
PHOENIX_ENABLE_PROMETHEUS	Enable Prometheus metrics endpoint	`false`
PHOENIX_SECRET	Secret for authentication (optional)	`""`
POSTGRES_VERSION	PostgreSQL image version	`17.2-alpine3.21`
POSTGRES_USER	PostgreSQL username	`postgres`
POSTGRES_PASSWORD	PostgreSQL password	`postgres`
POSTGRES_DB	PostgreSQL database name	`phoenix`

Volumes

phoenix_data: Data volume for SQLite mode (mounted to /data).
phoenix_db_data: Data volume for PostgreSQL mode.

Getting Started

Copy the example environment file:
```
cp .env.example .env
```
Select your deployment mode by editing .env (default is sqlite).

For SQLite (Default): Ensure .env contains:
```
COMPOSE_PROFILES=sqlite
```
For PostgreSQL: Change .env to:
```
COMPOSE_PROFILES=postgres
```
Start the services:
```
docker compose up -d
```
Access Phoenix UI at http://localhost:6006

Sending Traces

Phoenix supports OpenTelemetry-compatible traces. You can send traces using:

HTTP (OTLP)

Send traces to http://localhost:6006/v1/traces

gRPC (OTLP)

Send traces to localhost:4317

Python Example

from phoenix.otel import register

tracer_provider = register(
    project_name="my-llm-app",
    endpoint="http://localhost:6006/v1/traces",
)

Features

Tracing: Capture and visualize LLM application traces with OpenTelemetry support.
Evaluation: Run evaluations using built-in or custom evaluators.
Datasets: Create and manage datasets for testing and evaluation.
Experiments: Run experiments to compare model performance.
Playground: Test prompts with different models interactively.

Documentation

For more information, visit the official Phoenix documentation.

Security Notes

Change default PostgreSQL password in production.
Set PHOENIX_SECRET for authentication if exposing Phoenix publicly.
Consider using a reverse proxy with SSL/TLS in production.
Regularly backup the PostgreSQL database.

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