> For the complete documentation index, see [llms.txt](https://docs.elbo.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.elbo.ai/reference/api-reference/the-elbo-tracker.md).

# The ELBO Tracker

The ELBO Tracker API is an easy way to monitor your tasks on your Phone. Using the API you can log messages, key metrics (numbers), and images. These would show up in your task list on your Phone.

Please install the [ELBO Tracker App](https://elbo.ai/tracker) and log in with your [authentication token](https://elbo.ai/developer) to see the results of your tasks.

To start instantiate an instance of the Tracker

```
from elbo.tracker.tracker import TaskTracker
tracker = TaskTracker("Hello World")
```

Where "Hello World" is the experiment name. Now to log a message just do:

```
tracker.log_message("Hi there! 👋")
```

That's it! Similarly logging a metric or an image is as simple:

```
    tracker.log_key_metric("Accuracy", 100.0)
    
    tracker.log_image("An AI generated image of a Cat 🐱", "images/aicat.png")
```

And finally, upload the logs using:

```
tracker.upload_logs()
```

Make sure you don't forget this step. The `upload_logs()` API can be called as many times as you would like. Each time it will append to the existing logs. For example, if you are training a model, it may make sense to call this API every epoch.

Once this is done, now you can see the results in your App!

![The task list view](/files/kDasp8s10xterQOsm478) ![The task details view](/files/cgCxu99K8yRRE9VPFgkJ)


---

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