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HikerAI Pro

This sample demonstrates how to extend the Azure OpenAI with a gpt-35-turbo model to use local functionalities, from a .NET 8.0 console application. Get a hiking recommendation, based on the weather condition from the AI model. It consists of a console application, running locally, that will send request to an Azure OpenAI Service deployed in your Azure subscription.

Deploying the Azure resources

If it's not already done, follow the Getting-started: Deploying the Azure resources to deploy the Azure OpenAI Service with the models.

Trying HikerAI Pro

  1. From a terminal or command prompt, navigate to the 04-HikerAIPro directory.

  2. It's now time to try the console application. Depending on your Azure subscription it's possible that a few more minutes are required before the model deployed in Azure OpenAI is available. If you get an error message about this, wait a few (~5) minutes and try again.

    dotnet run

  3. (Optional) Try changing the weather condition from functionResultData, or the type of weather you prefer for hiking to see the differences in the responses.

  4. (Optional) Try another sample from the Getting-started: Trying the samples to experiment different scenarios.

Clean up resources

Once you are done experimenting with the samples, follow the instructions from the Getting-started: Clean up resources to delete the Azure resources created using the Azure Developer CLI.