> For the complete documentation index, see [llms.txt](https://docs.apica.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.apica.io/autonomous-insights/log-explained-using-generative-ai/configuring-generative-ai-access.md).

# Configuring Generative AI Access

The ADF admin can get into the configuration screen by clicking on the upper-right setting menu,

<figure><img src="/files/7RKZmtil8PLLXYwbNy1U" alt=""><figcaption></figcaption></figure>

Selecting the top tab *ingest Configuration* to get into the general ADF settings. Scrolling down the settings page further will display Generative AI settings in two separate locations:  Azure AI deployment and OpenAI deployment.  &#x20;

<figure><img src="/files/UAcd0cqNXT4JpHqvcJSn" alt=""><figcaption><p>Azure AI Related Configuration</p></figcaption></figure>

<figure><img src="/files/qDKHsIrU42hqQpXiGfe0" alt=""><figcaption><p>OpenAI Related Confiugration</p></figcaption></figure>

The ADF platform supports major GenAI vendors, specifically Azure AI or OpenAI backends. The admin user first needs to specify and fill the *OPENAI\_VENDOR* blank with the vendor name: azure or openai. Depending on the vendor configuration, the admin then needs to complete the detailed access information. &#x20;

For Azure deployment, the configuration blanks that need to be filled are:

* *AZURE\_OPENAI\_DEPLOYMENT\_NAME*
* *AZURE\_OPENAI\_ENDPOINT*
* *AZURE\_OPENAI\_KEY*
* *OPEN\_AI\_MODEL*

For OpenAI deployment, the configuration blanks that need to be filled are:

* *OPENAI\_KEY*
* *ASURE\_OPENAI\_ENDPOINT*
* *OPEN\_AI\_MODEL*

Notice that as of August 2024, the ADF Azure deployment supports models:

* gpt-4
* gpt-4o
* gpt-4o-mini
* gpt-3.5-turbo


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