unpage mlflow

Debug and monitor agents using MLflow tracking

The mlflow command provides functionality to set up MLflow for debugging and monitoring agent performance and behavior.

Usage

unpage mlflow [OPTIONS] COMMAND [ARGS]...

Commands

Command	Description
serve	Start an MLflow tracking server for agent debugging

Subcommand: serve

Starts a local MLflow tracking server that can be used to capture and visualize agent runs, prompts, and responses.

Usage

unpage mlflow serve [OPTIONS]

Options

Option	Description
--profile TEXT	Use profiles to manage multiple graphs [env var: UNPAGE_PROFILE] [default: default]
--port INTEGER	Port for MLflow server to listen on [default: 5566]
-h, --help	Show help message and exit

Examples

Start MLflow Server

# Start MLflow server with default settings
unpage mlflow serve

# Start MLflow on a custom port
unpage mlflow serve --port 8080

Use MLflow with Agents

To use MLflow tracking with your agents, set the environment variable before running:

# Set the MLflow tracking URI
export MLFLOW_TRACKING_URI=http://127.0.0.1:5566

# Run an agent with tracing enabled
unpage agent run my-agent '{"alert": "Disk usage exceeds 80%"}'