To integrate Azure OpenAI with an ASP.NET Core application, first create an Azure OpenAI resource and obtain your endpoint and API key. Then install the Azure.AI.OpenAI NuGet package and configure the OpenAIClient in your service layer using those credentials. Call the API (e.g., chat completions or embeddings) from your controllers or services to process user input. Finally, secure your keys using environment variables or Azure Key Vault and handle responses asynchronously for better performance.
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Tuhin PaulPosted Apr 8, 2026, 11:08 AM
Integrating Azure OpenAI into your ASP.NET Core application involves four main stages: resource setup, configuration, client registration, and implementation.
1. Azure Setup
Before writing code, you need the infrastructure in place:
Create Resource: In the Azure Portal, search for Azure OpenAI and create a resource.
Deploy a Model: Go to Azure AI Foundry (formerly Azure OpenAI Studio), select Deployments, and create a new deployment (e.g., using the
gpt-4oorgpt-3.5-turbomodel).Collect Credentials: From the Keys and Endpoint tab of your resource, copy your Endpoint URL and API Key.
2. Project Configuration
Install the official Azure SDK via the NuGet Package Manager or CLI:
Store your credentials securely in
appsettings.json(for development) or use Environment Variables/Azure Key Vault (for production):3. Service Registration
In your
Program.cs, register theAzureOpenAIClient(or the specificChatClientfrom theMicrosoft.Extensions.AIlibrary if using the latest 2026 abstractions) as a Singleton to ensure efficient connection pooling.4. Implementation in a Controller or Service
Inject the client into your controller to handle user requests asynchronously.