> For the complete documentation index, see [llms.txt](https://docs.raga.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.raga.ai/ragaai-catalyst/concepts/running-ragaai-evals.md).

# Running RagaAI Evals

This section contains all information required by users to run RagaAI's automated evaluation metrics as well as guardrails.

<figure><img src="https://1811327582-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FYbIiNdp1QbG4avl7VShw%2Fuploads%2FMYespHbcd7uGZ3AjTsf9%2FScreenshot%202024-07-14%20at%2010.48.13%E2%80%AFAM.png?alt=media&amp;token=a5d7512c-1b14-4ff0-9ffb-4a21f07afe88" alt=""><figcaption></figcaption></figure>

### Prerequisite:

Ensure you have set all LLM APIs you want to use. You can enter Azure, Gemini, Groq, and OpenAI API for running evals.

Navigate to Settings/API Keys, then enter and save the API keys for the LLM provider you want to use. You will be required to enter the provider in parameter while executing tests.

<figure><img src="https://1811327582-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FYbIiNdp1QbG4avl7VShw%2Fuploads%2FgqS65uj7Wv1HTHw5JNbg%2Fimage.png?alt=media&amp;token=d58989e9-5ddb-4d25-9c58-c678dfcfa36c" alt=""><figcaption></figcaption></figure>