trackio/pr_310/en/environment_variables.md

Environment Variables

Trackio uses environment variables to configure various aspects of its behavior, particularly for deployment to Hugging Face Spaces and dataset persistence. This guide covers the main environment variables and their usage.

Core Environment Variables

TRACKIO_DIR

Specifies a custom directory for storing Trackio data. By default, Trackio stores data in ~/.cache/huggingface/trackio/.

export TRACKIO_DIR="/path/to/trackio/data"

Note: This environment variable applies as long as Trackio is not running in a Space with persistent storage enabled. If Trackio is running in a Space with persistent storage enabled (which is detected with the PERSISTANT_STORAGE_ENABLED env variable), then the Trackio data will be stored in /data/trackio.

TRACKIO_DATASET_ID

Sets the Hugging Face Dataset ID where logs will be stored when running on Hugging Face Spaces. If not provided, the dataset name will be set automatically when deploying to Spaces.

export TRACKIO_DATASET_ID="username/dataset_name"

HF_TOKEN

Your Hugging Face authentication token. Required for creating Spaces and Datasets on Hugging Face. Set this locally when deploying to Spaces from your machine. Must have write permissions for the namespace that you are deploying the Trackio dashboard.

export HF_TOKEN="hf_xxxxxxxxxxxxx"

Gradio Environment Variables

Since Trackio is built on top of Gradio, you can use environment variables used by Gradio to control the behavior of Trackio. Here are a few examples:

GRADIO_SERVER_PORT

Specifies the port on which the Tradio dashboard will launch. Defaults to 7860

export GRADIO_SERVER_PORT=8000

GRADIO_SERVER_NAME

Defines the host name for the Trackio dashboard server. To make the dasbhoard accessible from any IP address, set this to "0.0.0.0"

export GRADIO_SERVER_NAME="0.0.0.0"

GRADIO_MCP_SERVER

Enables the MCP (Model Context Protocol) server functionality in Trackio. When enabled, the Trackio dashboard will be set up as an MCP server and certain functions will be exposed as MCP tools that can be used by LLMs (e.g. to read the logged metrics).

export GRADIO_MCP_SERVER="True"

See this more comprehensive list of environment variables used by Gradio.