> This page is for version v5.0 (default).
> For other versions, use one of these documentation indexes:
> - v5.0 (default): https://humanloop.com/docs/v5/llms.txt
> - v4.0: https://humanloop.com/docs/v4/llms.txt

> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://humanloop.com/docs/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://humanloop.com/docs/_mcp/server.

> Learn how to automate LLM evaluations as part of your CI/CD pipeline using Humanloop and GitHub Actions.

## Setting up CI/CD Integration with GitHub Actions

Integrating Humanloop evaluations into your CI/CD pipeline allows you to automatically test your AI applications as part of your development workflow. This guide will walk you through setting up this integration using GitHub Actions.

### Prerequisites

* A GitHub repository for your project
* A Humanloop account with access to Evaluations
* A Prompt and Dataset set up in Humanloop
* An Evaluator configured in Humanloop

## Steps to Set Up CI/CD Integration

### Create a GitHub Actions Workflow

In your GitHub repository, create a new file `.github/workflows/humanloop-eval.yml` with the following content:

> **Under Development**
>
> This content is currently under development. Please refer to our [V4 documentation](https://docs.humanloop.com/v4) for the current docs.

```yaml
```