> 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,

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.

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. 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