From 0ac9ba7430497d9c2bc6c21a2046e164c4449dcf Mon Sep 17 00:00:00 2001
From: "russell@unturf.com" <russell@unturf.com>
Date: Mon, 26 Jan 2026 12:48:07 -0500
Subject: [PATCH] Update C# examples with .NET 10 and Mono sections

---
 public/csharp-examples.html | 295 +++++++++++++++++++++++-------------
 1 file changed, 193 insertions(+), 102 deletions(-)

diff --git a/public/csharp-examples.html b/public/csharp-examples.html
index 162b2c2..9022b5c 100644
--- a/public/csharp-examples.html
+++ b/public/csharp-examples.html
@@ -45,12 +45,10 @@
     <!-- Left sidebar - Main Navigation -->
     <aside class="sidebar">
         <div class="table-of-contents">
-
             <nav>
                 <ul>
                     <li><a href="/">Home</a></li>
                     <li><a href="/c-examples.html">C Examples</a></li>
-                    <li><a href="/csharp-examples.html">C# Examples</a></li>
                     <li><a href="/csharp-examples.html" class="active">C# Examples</a></li>
                     <li><a href="/dart-examples.html">Dart Examples</a></li>
                     <li><a href="/elixir-examples.html">Elixir Examples</a></li>
@@ -91,7 +89,7 @@
         </header>
 
         <h2 id="csharp-intro">C# Examples</h2>
-        <p>This page demonstrates how to use the <strong>uncloseai.</strong> API endpoints with C# using the official OpenAI .NET library. All examples use the same OpenAI-compatible API interface, making it easy to switch between different models and endpoints.</p>
+        <p>This page demonstrates how to use the <strong>uncloseai.</strong> API endpoints with C#. Examples are provided for both <strong>.NET 10</strong> (latest) and <strong>Mono</strong> (cross-platform) runtimes.</p>
 
         <p><strong>Available Endpoints:</strong></p>
         <ul>
@@ -100,17 +98,42 @@
             <li><strong>TTS:</strong> <code>https://speech.ai.unturf.com/v1</code> - Text-to-speech generation</li>
         </ul>
 
-        <h3 id="csharp-client">C# Client Installation</h3>
-        <p>Install the OpenAI NuGet package using the .NET CLI:</p>
-        <pre><code class="bash">dotnet add package OpenAI --version 2.5.0</code></pre>
+        <h2 id="runtimes">Runtime Options</h2>
+        <table>
+            <thead>
+                <tr>
+                    <th>Runtime</th>
+                    <th>Best For</th>
+                    <th>Setup</th>
+                </tr>
+            </thead>
+            <tbody>
+                <tr>
+                    <td><strong>.NET 10</strong></td>
+                    <td>Latest features, best performance, Windows/Linux/macOS</td>
+                    <td><code>dotnet new console</code></td>
+                </tr>
+                <tr>
+                    <td><strong>Mono</strong></td>
+                    <td>Legacy systems, embedded, wide platform support</td>
+                    <td><code>mcs Program.cs</code></td>
+                </tr>
+            </tbody>
+        </table>
 
-        <p>Or via Package Manager Console:</p>
-        <pre><code class="bash">Install-Package OpenAI</code></pre>
+        <!-- .NET 10 SECTION -->
+        <h2 id="dotnet10">.NET 10 Examples</h2>
+        <p>Using the official OpenAI .NET SDK with .NET 10. This provides the cleanest API with full async/await support.</p>
 
-        <h2 id="csharp-non-streaming">Non-Streaming Examples</h2>
-        <p>Non-streaming mode waits for the complete response before returning. This is simpler to use but provides no intermediate feedback during generation.</p>
+        <h3 id="dotnet10-setup">Setup</h3>
+        <pre><code class="bash"># Create new project
+dotnet new console -n UncloseAI
+cd UncloseAI
 
-        <h3 id="csharp-hermes-non-stream">Using Hermes (General Purpose)</h3>
+# Add OpenAI package
+dotnet add package OpenAI --version 2.5.0</code></pre>
+
+        <h3 id="dotnet10-non-stream">Non-Streaming (Hermes)</h3>
         <pre><code class="csharp">using OpenAI.Chat;
 
 var client = new ChatClient(
@@ -134,40 +157,9 @@ ChatCompletion completion = await client.CompleteChatAsync(
     }
 );
 
-Console.WriteLine(completion.Content[0].Text);
-</code></pre>
+Console.WriteLine(completion.Content[0].Text);</code></pre>
 
-        <h3 id="csharp-qwen-non-stream">Using Qwen 3 Coder (Specialized for Coding)</h3>
-        <pre><code class="csharp">using OpenAI.Chat;
-
-var client = new ChatClient(
-    model: "hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M",
-    apiKey: "choose-any-value",
-    new OpenAIClientOptions
-    {
-        Endpoint = new Uri("https://qwen.ai.unturf.com/v1")
-    }
-);
-
-ChatCompletion completion = await client.CompleteChatAsync(
-    new List&lt;ChatMessage&gt;
-    {
-        new UserChatMessage("Give a Python Fizzbuzz solution in one line of code?")
-    },
-    new ChatCompletionOptions
-    {
-        Temperature = 0.5f,
-        MaxTokens = 150
-    }
-);
-
-Console.WriteLine(completion.Content[0].Text);
-</code></pre>
-
-        <h2 id="csharp-streaming">Streaming Examples</h2>
-        <p>Streaming mode returns chunks of the response as they are generated, providing real-time feedback. This is ideal for interactive applications and long responses.</p>
-
-        <h3 id="csharp-hermes-stream">Using Hermes (General Purpose)</h3>
+        <h3 id="dotnet10-stream">Streaming (Hermes)</h3>
         <pre><code class="csharp">using OpenAI.Chat;
 
 var client = new ChatClient(
@@ -182,12 +174,12 @@ var client = new ChatClient(
 var streamingUpdates = client.CompleteChatStreamingAsync(
     new List&lt;ChatMessage&gt;
     {
-        new UserChatMessage("Give a Python Fizzbuzz solution in one line of code?")
+        new UserChatMessage("Write a short poem about coding")
     },
     new ChatCompletionOptions
     {
         Temperature = 0.5f,
-        MaxTokens = 150
+        MaxTokens = 200
     }
 );
 
@@ -197,50 +189,14 @@ await foreach (var update in streamingUpdates)
     {
         Console.Write(contentPart.Text);
     }
-}
-</code></pre>
-
-        <h3 id="csharp-qwen-stream">Using Qwen 3 Coder (Specialized for Coding)</h3>
-        <pre><code class="csharp">using OpenAI.Chat;
-
-var client = new ChatClient(
-    model: "hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M",
-    apiKey: "choose-any-value",
-    new OpenAIClientOptions
-    {
-        Endpoint = new Uri("https://qwen.ai.unturf.com/v1")
-    }
-);
-
-var streamingUpdates = client.CompleteChatStreamingAsync(
-    new List&lt;ChatMessage&gt;
-    {
-        new UserChatMessage("Give a Python Fizzbuzz solution in one line of code?")
-    },
-    new ChatCompletionOptions
-    {
-        Temperature = 0.5f,
-        MaxTokens = 150
-    }
-);
-
-await foreach (var update in streamingUpdates)
-{
-    foreach (var contentPart in update.ContentUpdate)
-    {
-        Console.Write(contentPart.Text);
-    }
-}
-</code></pre>
-
-        <h2 id="csharp-tts">Text-to-Speech Example</h2>
-        <p>Generate audio speech from text using the TTS endpoint. The audio is saved as an MP3 file.</p>
+}</code></pre>
 
+        <h3 id="dotnet10-tts">Text-to-Speech</h3>
         <pre><code class="csharp">using OpenAI.Audio;
 
 var client = new AudioClient(
     model: "tts-1",
-    apiKey: "YOLO",
+    apiKey: "choose-any-value",
     new OpenAIClientOptions
     {
         Endpoint = new Uri("https://speech.ai.unturf.com/v1")
@@ -248,21 +204,154 @@ var client = new AudioClient(
 );
 
 BinaryData speech = await client.GenerateSpeechAsync(
-    "I think so therefore, Today is a wonderful day to grow something people love!",
+    "Hello! This is a test of text to speech.",
     GeneratedSpeechVoice.Alloy,
-    new SpeechGenerationOptions
-    {
-        Speed = 0.9f
-    }
+    new SpeechGenerationOptions { Speed = 1.0f }
 );
 
 await File.WriteAllBytesAsync("speech.mp3", speech.ToArray());
-</code></pre>
+Console.WriteLine("Audio saved to speech.mp3");</code></pre>
+
+        <!-- MONO SECTION -->
+        <h2 id="mono">Mono Examples</h2>
+        <p>Using HttpClient directly with Mono runtime. No external packages required - works with the built-in System.Net.Http.</p>
+
+        <h3 id="mono-setup">Setup</h3>
+        <pre><code class="bash"># Install Mono (Ubuntu/Debian)
+sudo apt install mono-complete
+
+# Compile
+mcs -r:System.Net.Http.dll Program.cs
+
+# Run
+mono Program.exe</code></pre>
+
+        <h3 id="mono-non-stream">Non-Streaming (Hermes)</h3>
+        <pre><code class="csharp">using System;
+using System.Net.Http;
+using System.Text;
+using System.Threading.Tasks;
+
+class Program
+{
+    static readonly HttpClient client = new HttpClient();
+
+    static async Task Main()
+    {
+        var payload = @"{
+            ""model"": ""adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic"",
+            ""messages"": [{""role"": ""user"", ""content"": ""Give a Python Fizzbuzz solution in one line of code?""}],
+            ""max_tokens"": 150
+        }";
+
+        var content = new StringContent(payload, Encoding.UTF8, "application/json");
+        var response = await client.PostAsync(
+            "https://hermes.ai.unturf.com/v1/chat/completions",
+            content
+        );
+
+        var body = await response.Content.ReadAsStringAsync();
+        Console.WriteLine(body);
+    }
+}</code></pre>
+
+        <h3 id="mono-stream">Streaming (Hermes)</h3>
+        <pre><code class="csharp">using System;
+using System.IO;
+using System.Net.Http;
+using System.Text;
+using System.Threading.Tasks;
+
+class Program
+{
+    static readonly HttpClient client = new HttpClient();
+
+    static async Task Main()
+    {
+        var payload = @"{
+            ""model"": ""adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic"",
+            ""messages"": [{""role"": ""user"", ""content"": ""Write a short poem about coding""}],
+            ""max_tokens"": 200,
+            ""stream"": true
+        }";
+
+        var request = new HttpRequestMessage(HttpMethod.Post, "https://hermes.ai.unturf.com/v1/chat/completions");
+        request.Content = new StringContent(payload, Encoding.UTF8, "application/json");
+
+        var response = await client.SendAsync(request, HttpCompletionOption.ResponseHeadersRead);
+        using var stream = await response.Content.ReadAsStreamAsync();
+        using var reader = new StreamReader(stream);
+
+        while (!reader.EndOfStream)
+        {
+            var line = await reader.ReadLineAsync();
+            if (line?.StartsWith("data: ") == true)
+            {
+                var json = line.Substring(6);
+                if (json != "[DONE]")
+                {
+                    // Extract content from JSON (simplified)
+                    var start = json.IndexOf("\"content\":\"") + 11;
+                    if (start > 10)
+                    {
+                        var end = json.IndexOf("\"", start);
+                        if (end > start)
+                        {
+                            Console.Write(json.Substring(start, end - start));
+                        }
+                    }
+                }
+            }
+        }
+    }
+}</code></pre>
+
+        <h3 id="mono-tts">Text-to-Speech</h3>
+        <pre><code class="csharp">using System;
+using System.IO;
+using System.Net.Http;
+using System.Text;
+using System.Threading.Tasks;
+
+class Program
+{
+    static readonly HttpClient client = new HttpClient();
+
+    static async Task Main()
+    {
+        var payload = @"{
+            ""model"": ""tts-1"",
+            ""input"": ""Hello! This is a test of text to speech."",
+            ""voice"": ""alloy""
+        }";
+
+        var content = new StringContent(payload, Encoding.UTF8, "application/json");
+        var response = await client.PostAsync(
+            "https://speech.ai.unturf.com/v1/audio/speech",
+            content
+        );
+
+        var audioBytes = await response.Content.ReadAsByteArrayAsync();
+        File.WriteAllBytes("speech.mp3", audioBytes);
+        Console.WriteLine("Audio saved to speech.mp3");
+    }
+}</code></pre>
+
+        <p><strong>Available voices:</strong> <code>alloy</code>, <code>echo</code>, <code>fable</code>, <code>onyx</code>, <code>nova</code>, <code>shimmer</code></p>
+
+        <h2 id="source">Full SDK Implementations</h2>
+        <p>For complete SDK implementations with model discovery and advanced features:</p>
+        <ul>
+            <li><a href="/languages/csharp/dotnet10/" target="_blank">.NET 10 SDK</a></li>
+            <li><a href="/languages/csharp/mono/" target="_blank">Mono SDK</a></li>
+            <li><a href="/languages/csharp/http/" target="_blank">HttpClient (generic .NET)</a></li>
+            <li><a href="/languages/csharp/openai/" target="_blank">OpenAI SDK wrapper</a></li>
+        </ul>
 
         <script>hljs.highlightAll();</script>
 
         <footer>
-        <small>© uncloseai. 2025</small>
+        <small>&copy; uncloseai. 2025</small>
         <br>
         <small>Stylesheets by <a href="https://picocss.com" target="_blank">PicoCSS</a></small>
         <small>& <a href="https://highlightjs.org/" target="_blank">highlight.js</a></small>
@@ -287,7 +376,6 @@ await File.WriteAllBytesAsync("speech.mp3", speech.ToArray());
                 let current = '';
                 sections.forEach(section => {
                     const sectionTop = section.offsetTop;
-                    const sectionHeight = section.clientHeight;
                     if (window.scrollY >= sectionTop - 100) {
                         current = section.getAttribute('id');
                     }
@@ -306,24 +394,27 @@ await File.WriteAllBytesAsync("speech.mp3", speech.ToArray());
     <!-- Right sidebar - Page TOC -->
     <aside class="sidebar-right">
         <div class="table-of-contents">
-
             <nav>
                 <ul>
                     <li><a href="#csharp-intro" class="active">Overview</a></li>
-                    <li><a href="#csharp-client">Installation</a></li>
-                    <li><a href="#csharp-non-streaming">Non-Streaming</a>
+                    <li><a href="#runtimes">Runtime Options</a></li>
+                    <li><a href="#dotnet10">.NET 10</a>
                         <ul>
-                            <li><a href="#csharp-hermes-non-stream">Hermes</a></li>
-                            <li><a href="#csharp-qwen-non-stream">Qwen Coder</a></li>
+                            <li><a href="#dotnet10-setup">Setup</a></li>
+                            <li><a href="#dotnet10-non-stream">Non-Streaming</a></li>
+                            <li><a href="#dotnet10-stream">Streaming</a></li>
+                            <li><a href="#dotnet10-tts">TTS</a></li>
                         </ul>
                     </li>
-                    <li><a href="#csharp-streaming">Streaming</a>
+                    <li><a href="#mono">Mono</a>
                         <ul>
-                            <li><a href="#csharp-hermes-stream">Hermes</a></li>
-                            <li><a href="#csharp-qwen-stream">Qwen Coder</a></li>
+                            <li><a href="#mono-setup">Setup</a></li>
+                            <li><a href="#mono-non-stream">Non-Streaming</a></li>
+                            <li><a href="#mono-stream">Streaming</a></li>
+                            <li><a href="#mono-tts">TTS</a></li>
                         </ul>
                     </li>
-                    <li><a href="#csharp-tts">Text-to-Speech</a></li>
+                    <li><a href="#source">Full SDK</a></li>
                 </ul>
             </nav>
         </div>