# How-To: Start Worker

Starting a worker allows the associated workload to process end-user queries. This guide explains how to start a worker for a specific workload.

***

{% hint style="info" %}

* **Credit Balance**: Check that you have enough credits in your account to run the worker.
* **Worker Scaling**: You can run as many workers as needed for each model. If queries are slow due to high demand, start more workers to improve performance.
  {% endhint %}

***

{% tabs %}
{% tab title="🌐Console" %}
Log in to the web console to access the **Main Page**, where modules for each of your models are displayed and identify the module corresponding to the model for which you want to start a worker.

<figure><img src="/files/oljEHmcOkUdBSEVqC1Xm" alt=""><figcaption><p>Start Worker</p></figcaption></figure>

{% stepper %}
{% step %}

### S**tart a New Worker**

* In the model’s module, click the **"Add Worker"** button.
* This action will start a new worker dedicated to processing queries for the selected model.
  {% endstep %}

{% step %}

### V**iew Running Workers**

* Expand the **Worker Section** within the model’s module to view all currently running workers.
* The section lists each worker along with its **start time**, allowing you to monitor activity.
  {% endstep %}
  {% endstepper %}
  {% endtab %}

{% tab title="🧊Python SDK" %}

```python
# Start Worker

import LatticaManagement

# Authenticate
lattica = LatticaManagement("your_license_from_lattica_console")

# get list of models
models = lattica.get_models()

# Start a new worker session. Returns an Active worker session id.
worker_session_id = lattica.start_worker(models[0].model_id) 
```

{% endtab %}
{% endtabs %}

***


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://platformdocs.lattica.ai/how-to-guides/resource-management/how-to-start-worker.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
