> ## Documentation Index
> Fetch the complete documentation index at: https://docs.unpage.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Debug Unpage Agents With MLflow Tracing

> Setup instructions for accessing MLflow tracing data to debug Unpage agents

MLflow is an expansive platform to build AI applications and models. We use a sliver of it that provides a tracing UI for LLM agents.

## Setting Up MLflow

Use Unpage's built-in tracing to monitor agent execution:

```bash theme={null}
unpage mlflow serve
```

## Running Unpage and Capturing Traces

Unpage will automatically send traces to the MLflow server when the `MLFLOW_TRACKING_URI` environment variable is set.

```bash theme={null}
MLFLOW_TRACKING_URI=http://127.0.0.1:5566 unpage agent run
MLFLOW_TRACKING_URI=http://127.0.0.1:5566 unpage agent serve
```

View execution traces at `${MLFLOW_TRACKING_URI}/#/experiments/1?searchFilter=&orderByKey=attributes.start_time&orderByAsc=false&startTime=ALL&lifecycleFilter=Active&modelVersionFilter=All+Runs&datasetsFilter=W10%3D&compareRunsMode=TRACES` to see:

* Tool usage patterns
* Execution timing
* Error rates and types
* Agent decision flows

The default MLflow server will have traces at: `http://127.0.0.1:5566/#/experiments/1?searchFilter=&orderByKey=attributes.start_time&orderByAsc=false&startTime=ALL&lifecycleFilter=Active&modelVersionFilter=All+Runs&datasetsFilter=W10%3D&compareRunsMode=TRACES`