Using Microsoft Agent Framework with Podman

podman run -d --name ollama --replace --restart=always -p 11434:11434 -v ollama:/root/.ollama docker.io/ollama/ollama
podman exec -it ollama ollama pull llama3.2:3b

using System;
using System.Net.Http;
using System.Threading.Tasks;
using Azure.Identity;
using Microsoft.Agents.AI;
using OllamaSharp;

static async Task AzureAIChat()
{
    var endpoint = "https://{your}.openai.azure.com/";
    var deploymentName = "gpt-4.1-mini";

    const string JokerName = "Joker Dad";
    const string JokerInstructions = "You are good at telling jokes.";

    var agent = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential())
        .GetChatClient(deploymentName)
        .CreateAIAgent(JokerInstructions, JokerName);

    await CallTheAgent(agent);
}

static async Task LocalLlmChat()
{
    var baseUri = new Uri("http://localhost:11434/");
    Console.WriteLine($"Probing {baseUri} ...");

    using var probeClient = new HttpClient { Timeout = TimeSpan.FromSeconds(5) };
    try
    {
        var probeResp = await probeClient.GetAsync(baseUri);
        Console.WriteLine($"Probe response: {(int)probeResp.StatusCode} {probeResp.ReasonPhrase}");
    }
    catch (Exception ex)
    {
        Console.WriteLine($"HTTP probe failed: {ex.GetType().Name}: {ex.Message}");
        Console.WriteLine("Check podman port mapping and container logs (podman ps, podman port, podman logs).");
        return;
    }

    using var chatClient = new OllamaApiClient(baseUri, "llama3.2:3b");
    var response = await chatClient.GetResponseAsync("Tell me a joke.")
        .WaitAsync(TimeSpan.FromSeconds(300));

    Console.WriteLine(response);
}

static async Task CallTheAgent(AIAgent agent)
{
    await foreach (var update in agent.RunStreamingAsync("Tell me a joke."))
    {
        Console.WriteLine(update);
    }
}

await LocalLlmChat();
Console.ReadLine();