Microsoft Azure

using OpenAI;
using OpenAI.Chat;
using System;
using System.ClientModel;
using System.ClientModel.Primitives;
using System.Collections.Generic;
using System.Threading.Tasks;

public static class PortkeyAzureClient
{
    private class PortkeyHeadersPolicy : PipelinePolicy
    {
        private readonly Dictionary<string, string> _headers;
        public PortkeyHeadersPolicy(Dictionary<string, string> headers) => _headers = headers;

        public override void Process(PipelineMessage message, IReadOnlyList<PipelinePolicy> pipeline, int index)
        {
            foreach (var header in _headers) message.Request.Headers.Set(header.Key, header.Value);
            if (index < pipeline.Count) pipeline[index].Process(message, pipeline, index + 1);
        }

        public override ValueTask ProcessAsync(PipelineMessage message, IReadOnlyList<PipelinePolicy> pipeline, int index)
        {
            Process(message, pipeline, index);
            return ValueTask.CompletedTask;
        }
    }

    public static OpenAIClient CreateOpenAIClientWithPortkey(
        Uri azureEndpoint,
        string azureApiKey,
        Dictionary<string, string> portkeyHeaders
    )
    {
        var options = new OpenAIClientOptions
        {
            Endpoint = azureEndpoint, // Your Azure OpenAI endpoint
        };
        options.AddPolicy(new PortkeyHeadersPolicy(portkeyHeaders), PipelinePosition.PerCall);

        return new OpenAIClient(new ApiKeyCredential(azureApiKey), options);
    }
}

public class ExampleAzureIntegration
{
    public static async Task Main(string[] args)
    {
        // 1. Define Azure OpenAI credentials
        var azureEndpoint = new Uri("YOUR_AZURE_OPENAI_ENDPOINT"); // Eg: https://<your-resource-name>.openai.azure.com/
        var azureApiKey = "YOUR_AZURE_OPENAI_KEY"; 

        // 2. Define Portkey headers
        // Get your Portkey API Key from https://app.portkey.ai/settings
        // Integrate your Azure OpenAI setup in Portkey: https://app.portkey.ai/integrations
        var portkeyHeaders = new Dictionary<string, string> 
        {
            { "x-portkey-api-key", "YOUR_PORTKEY_API_KEY" }, 
            { "x-portkey-provider", "YOUR_AZURE_OPENAI_PROVIDER" } // Connects to your Azure setup
            // Optional: { "x-portkey-trace-id", "my-azure-app-trace" },
            // Optional: { "x-portkey-metadata", "{\"userId\": \"user-123\"}" }
        };

        // 3. Create Azure OpenAI client with Portkey integration
        var openAIClient = PortkeyAzureClient.CreateOpenAIClientWithPortkey(
            azureEndpoint,
            azureApiKey,
            portkeyHeaders
        );

        // 4. Get the ChatClient
        // The model/deployment name for Azure OpenAI is specified here.
        var chatClient = openAIClient.GetChatClient("YOUR_AZURE_DEPLOYMENT_NAME"); // Eg: gpt-4, gpt-35-turbo

        // 5. Make a request
        try
        {
            Console.WriteLine("Sending request to Azure OpenAI via Portkey...");
            ChatCompletion completion = await chatClient.CompleteChatAsync(
                new List<ChatMessage>
                {
                    new SystemChatMessage("You are an AI assistant that helps people find information."),
                    new UserChatMessage("Give me 3 Azure best practices for cloud security.")
                });

            Console.WriteLine($"[ASSISTANT]: {completion.Content[0].Text}");
        }
        catch (ClientResultException ex)
        {
            Console.WriteLine($"API Call Error: {ex.Status}: {ex.Message}");
            // For more details from Portkey, you can inspect ex.Content and ex.Headers
            // if (ex.Headers.TryGetValue("x-portkey-error-details", out var errorDetails))
            // {
            //    Console.WriteLine($"Portkey Error Details: {string.Join(", ", errorDetails)}");
            // }
        }
    }
}