Russell Ballestrini
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- Created privacy-policy.html with data collection transparency - Created terms-of-use.html with service terms and liability limits - Added copyright notice (© uncloseai. 2025) to all 18 HTML pages - Added Privacy Policy and Terms of Use links to all footers - Emphasizes IP logging for rate limiting only, not user tracking - Notes console-only logging (stdout, no disk storage) - Highlights HTTPS encryption for all communications
329 lines
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329 lines
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<a href="https://uncloseai.com"><h1 class="unturf" style="font-family: 'ChunkFiveRegular';">uncloseai.</h1></a>
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<p>C# Examples - Free LLM & TTS AI Service</p>
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</header>
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<h2 id="csharp-intro">C# Examples</h2>
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<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>
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<p><strong>Available Endpoints:</strong></p>
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<ul>
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<li><strong>Hermes:</strong> <code>https://hermes.ai.unturf.com/v1</code> - General purpose conversational AI</li>
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<li><strong>Qwen 3 Coder:</strong> <code>https://qwen.ai.unturf.com/v1</code> - Specialized coding model</li>
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<li><strong>TTS:</strong> <code>https://speech.ai.unturf.com/v1</code> - Text-to-speech generation</li>
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</ul>
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<h3 id="csharp-client">C# Client Installation</h3>
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<p>Install the OpenAI NuGet package using the .NET CLI:</p>
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<pre><code class="bash">dotnet add package OpenAI --version 2.5.0</code></pre>
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<p>Or via Package Manager Console:</p>
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<pre><code class="bash">Install-Package OpenAI</code></pre>
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<h2 id="csharp-non-streaming">Non-Streaming Examples</h2>
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<p>Non-streaming mode waits for the complete response before returning. This is simpler to use but provides no intermediate feedback during generation.</p>
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<h3 id="csharp-hermes-non-stream">Using Hermes (General Purpose)</h3>
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<pre><code class="csharp">using OpenAI.Chat;
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var client = new ChatClient(
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model: "adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic",
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apiKey: "choose-any-value",
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new OpenAIClientOptions
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{
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Endpoint = new Uri("https://hermes.ai.unturf.com/v1")
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}
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);
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ChatCompletion completion = await client.CompleteChatAsync(
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new List<ChatMessage>
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{
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new UserChatMessage("Give a Python Fizzbuzz solution in one line of code?")
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},
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new ChatCompletionOptions
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{
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Temperature = 0.5f,
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MaxTokens = 150
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}
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);
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Console.WriteLine(completion.Content[0].Text);
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</code></pre>
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<h3 id="csharp-qwen-non-stream">Using Qwen 3 Coder (Specialized for Coding)</h3>
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<pre><code class="csharp">using OpenAI.Chat;
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var client = new ChatClient(
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model: "hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M",
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apiKey: "choose-any-value",
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new OpenAIClientOptions
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{
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Endpoint = new Uri("https://qwen.ai.unturf.com/v1")
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}
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);
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ChatCompletion completion = await client.CompleteChatAsync(
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new List<ChatMessage>
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{
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new UserChatMessage("Give a Python Fizzbuzz solution in one line of code?")
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},
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new ChatCompletionOptions
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{
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Temperature = 0.5f,
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MaxTokens = 150
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}
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);
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Console.WriteLine(completion.Content[0].Text);
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</code></pre>
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<h2 id="csharp-streaming">Streaming Examples</h2>
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<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>
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<h3 id="csharp-hermes-stream">Using Hermes (General Purpose)</h3>
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<pre><code class="csharp">using OpenAI.Chat;
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var client = new ChatClient(
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model: "adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic",
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apiKey: "choose-any-value",
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new OpenAIClientOptions
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{
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Endpoint = new Uri("https://hermes.ai.unturf.com/v1")
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}
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);
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var streamingUpdates = client.CompleteChatStreamingAsync(
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new List<ChatMessage>
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{
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new UserChatMessage("Give a Python Fizzbuzz solution in one line of code?")
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},
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new ChatCompletionOptions
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{
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Temperature = 0.5f,
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MaxTokens = 150
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}
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);
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await foreach (var update in streamingUpdates)
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{
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foreach (var contentPart in update.ContentUpdate)
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{
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Console.Write(contentPart.Text);
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}
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}
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</code></pre>
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<h3 id="csharp-qwen-stream">Using Qwen 3 Coder (Specialized for Coding)</h3>
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<pre><code class="csharp">using OpenAI.Chat;
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var client = new ChatClient(
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model: "hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M",
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apiKey: "choose-any-value",
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new OpenAIClientOptions
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{
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Endpoint = new Uri("https://qwen.ai.unturf.com/v1")
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}
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);
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var streamingUpdates = client.CompleteChatStreamingAsync(
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new List<ChatMessage>
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{
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new UserChatMessage("Give a Python Fizzbuzz solution in one line of code?")
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},
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new ChatCompletionOptions
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{
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Temperature = 0.5f,
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MaxTokens = 150
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}
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);
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await foreach (var update in streamingUpdates)
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{
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foreach (var contentPart in update.ContentUpdate)
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{
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Console.Write(contentPart.Text);
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}
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}
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</code></pre>
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<h2 id="csharp-tts">Text-to-Speech Example</h2>
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<p>Generate audio speech from text using the TTS endpoint. The audio is saved as an MP3 file.</p>
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<pre><code class="csharp">using OpenAI.Audio;
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var client = new AudioClient(
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model: "tts-1",
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apiKey: "YOLO",
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new OpenAIClientOptions
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{
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Endpoint = new Uri("https://speech.ai.unturf.com/v1")
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}
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);
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BinaryData speech = await client.GenerateSpeechAsync(
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"I think so therefore, Today is a wonderful day to grow something people love!",
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GeneratedSpeechVoice.Alloy,
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new SpeechGenerationOptions
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{
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Speed = 0.9f
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}
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);
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await File.WriteAllBytesAsync("speech.mp3", speech.ToArray());
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</code></pre>
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