Files
Alexander Zarei 2f0b2db12a fix: Standardize OpenAI API key environment variable naming (#1001) (#2629)
- Replace OPENAI_APIKEY with OPENAI_API_KEY across all samples
- Replace AZURE_FOUNDRY_OPENAI_APIKEY with AZURE_FOUNDRY_OPENAI_API_KEY
- Ensures consistency with OpenAI's standard naming convention
- Applies to .NET and Python samples

Fixes #1001

Co-authored-by: Alexander Zarei <alzarei@users.noreply.github.com>
2025-12-10 10:33:35 +00:00

32 lines
1.7 KiB
C#

// Copyright (c) Microsoft. All rights reserved.
// This sample shows how to use the OpenAI SDK to create and use a simple AI agent with any model hosted in Azure AI Foundry.
// You could use models from Microsoft, OpenAI, DeepSeek, Hugging Face, Meta, xAI or any other model you have deployed in your Azure AI Foundry resource.
// Note: Ensure that you pick a model that suits your needs. For example, if you want to use function calling, ensure that the model you pick supports function calling.
using System.ClientModel;
using System.ClientModel.Primitives;
using Azure.Identity;
using Microsoft.Agents.AI;
using OpenAI;
using OpenAI.Chat;
var endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_OPENAI_ENDPOINT is not set.");
var apiKey = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_OPENAI_API_KEY");
var model = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_MODEL_DEPLOYMENT") ?? "Phi-4-mini-instruct";
// Since we are using the OpenAI Client SDK, we need to override the default endpoint to point to Azure Foundry.
var clientOptions = new OpenAIClientOptions() { Endpoint = new Uri(endpoint) };
// Create the OpenAI client with either an API key or Azure CLI credential.
OpenAIClient client = string.IsNullOrWhiteSpace(apiKey)
? new OpenAIClient(new BearerTokenPolicy(new AzureCliCredential(), "https://ai.azure.com/.default"), clientOptions)
: new OpenAIClient(new ApiKeyCredential(apiKey), clientOptions);
AIAgent agent = client
.GetChatClient(model)
.CreateAIAgent(instructions: "You are good at telling jokes.", name: "Joker");
// Invoke the agent and output the text result.
Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate."));