// Copyright (c) Microsoft. All rights reserved.

// This sample shows how to create and use a simple AI agent with a multi-turn conversation.

using Azure.AI.Projects;
using Azure.Identity;
using Microsoft.Agents.AI;

var endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
var model = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-mini";

// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
AIAgent agent = new AIProjectClient(new Uri(endpoint), new DefaultAzureCredential())
    .AsAIAgent(model: model, instructions: "You are good at telling jokes.", name: "Joker");

// Invoke the agent with a multi-turn conversation, where the context is preserved in the session object.
AgentSession session = await agent.CreateSessionAsync();
Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate.", session));
Console.WriteLine(await agent.RunAsync("Now add some emojis to the joke and tell it in the voice of a pirate's parrot.", session));

// Invoke the agent with a multi-turn conversation and streaming, where the context is preserved in the session object.
session = await agent.CreateSessionAsync();
await foreach (var update in agent.RunStreamingAsync("Tell me a joke about a pirate.", session))
{
    Console.WriteLine(update);
}
await foreach (var update in agent.RunStreamingAsync("Now add some emojis to the joke and tell it in the voice of a pirate's parrot.", session))
{
    Console.WriteLine(update);
}
