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

# Deployment

### Overview

The deployed models page in LLM Labs provides a centralized place to manage all deployed model APIs efficiently. It serves as a hub where users can oversee their deployed models, track their status, and perform necessary maintenance operations. By offering a user-friendly interface, this feature streamlines the deployment workflow, making it simple to monitor and manage models at scale.

### Get started

{% hint style="info" %}
To deploy a model, you will need to create a Sandbox first. [Learn more about Sandbox](https://docs.datasaur.ai/llm-projects/sandbox).
{% endhint %}

1. After creating and configuring your model on the Sandbox page, click the **Deploy** button.

   <figure><img src="/files/Rw6iyMdQJD1l4VmmpdRQ" alt=""><figcaption></figcaption></figure>
2. A dialog box will appear, allowing you to review and name your model before deployment. Once you have reviewed the details and are ready to proceed, click the **Deploy model** button.

   <figure><img src="/files/OIbilIdIbg7ljspWZcC7" alt=""><figcaption></figcaption></figure>
3. Once you’ve deployed the model, you will be redirected to the deployment details page. Here you can:

   1. **Create API Key**: Generate an API key for use when calling the API endpoint.
   2. **Suspend**: Temporarily pause the API endpoint. Systems using these suspended endpoints may not function until it is resumed.
   3. **Delete**: Delete the deployment. Deleting a deployment permanently removes its configurations and active endpoints. Any systems using these endpoints will stop functioning properly.
   4. **Use in Sandbox**: Choose the sandbox environment where you want to create a copy of the deployed model for iteration. After making changes, you can redeploy it to the same deployment.
   5. Review the statistics of the deployment.

   <figure><img src="/files/gKIntyPNUT1HutiEfQ69" alt=""><figcaption></figcaption></figure>
4. You can also manage your list of previously created deployments on the **Deployed models** page.

   <figure><img src="/files/FwaXlPbxGsjpJDlQ3pLN" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
To learn more about how to use our Deployment API, please refer to this [Deployment API](https://docs.datasaur.ai/llm-projects/deployment/deployment-api) page.
{% endhint %}