docs/usage/providers/azureai.mdx
<Image alt={'Using Azure AI in LobeHub'} cover src={'/blog/assets29de82efbe7657a8b9ba7daf0904585d.webp'} />
Azure AI is an open AI technology platform built on Microsoft Azure's cloud infrastructure. It offers a wide range of AI capabilities including natural language processing, machine learning, and computer vision, enabling businesses to easily develop and deploy AI-powered applications.
This guide will walk you through how to integrate Azure AI models into LobeHub:
<Steps> ### Step 1: Deploy an Azure AI Project and ModelBrowse Models.<Image alt={'Accessing Azure AI Foundry'} inStep src={'/blog/assets8096422e62e10dcd58efe75c616f9e88.webp'} />
Deploy button.<Image alt={'Browsing Models'} inStep src={'/blog/assets7dbd100dac8e2614ef6b297885b3c9e2.webp'} />
<Image alt={'Creating a New Project'} inStep src={'/blog/assetsb9d1f02ab6c26f8a2c7873a949b4dd3c.webp'} />
<Callout type={'note'}> For detailed configuration of Azure AI Foundry, please refer to the official documentation. </Callout>
<Image alt={'Retrieving API Key'} inStep src={'/blog/assets66829206b15b6c36fa3344835659c041.webp'} />
App Settings section in LobeHub and navigate to AI Service Providers.Azure AI option in the list of providers.<Image alt={'Entering Azure AI API Key'} inStep src={'/blog/assets0a81d34f707bd87cee3852f26a3d14f0.webp'} />
<Callout type={'warning'}>
Only enter the base part of the Endpoint, e.g., https://xxxxxx.services.ai.azure.com/models.
</Callout>
<Image alt={'Selecting Azure AI Model'} inStep src={'/blog/assetsbd69842ebb37848ecd50c242aad835b0.webp'} />
<Callout type={'warning'}> You may incur charges from the API service provider during usage. Please refer to Azure AI's pricing policy for more details. </Callout> </Steps>
That's it! You're now ready to use Azure AI models for conversations in LobeHub.